{"id":1803,"date":"2026-08-16T12:39:28","date_gmt":"2026-08-16T12:39:28","guid":{"rendered":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/"},"modified":"2026-09-08T18:18:46","modified_gmt":"2026-09-08T18:18:46","slug":"calculer-vraie-depense-calorique","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/","title":{"rendered":"Como calcular seu gasto cal\u00f3rico real: o guia completo"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" fetchpriority=\"low\">\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js@4.4.4\/dist\/chart.umd.min.js\"><\/script>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chartjs-plugin-annotation@3.1.0\/dist\/chartjs-plugin-annotation.min.js\"><\/script>\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --fix:#8A8578;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --neat:#FF8C00; --eat:#E84D44; --tef:#4CAF50; --adapt:#A8D5A0; --bmr:#FA256C;\n  --macro-p:#FA256C; --macro-g:#FFBD00; --macro-l:#AB75EC;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  --font-text:-apple-system,\"SF Pro Text\",system-ui,sans-serif;\n  --font-mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n}\n#lvm-shell *{box-sizing:border-box;-webkit-text-size-adjust:100%}\n#lvm-shell, #lvm-shell{margin:0;padding:0;background:var(--bg);color:var(--ink-2);font-family:var(--font-text);font-size:17px;line-height:1.7;-webkit-font-smoothing:antialiased}\n#lvm-shell ::selection{background:rgba(255,45,110,0.18);color:var(--ink)}\n#lvm-shell img{max-width:100%;display:block}\n#lvm-shell a{color:inherit}\n\n#lvm-shell .progress{position:fixed;top:0;left:0;right:0;height:2px;background:transparent;z-index:1000}\n#lvm-shell .progress > i{display:block;height:100%;width:100%;background:var(--pink);transform-origin:0 50%;transform:scaleX(0);transition:transform .05s linear}\n\n#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}\n#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px}\n#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}\n#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}\n#lvm-shell .nav-brand span{font-family:var(--font-display);font-weight:600;font-size:18px;letter-spacing:-.01em}\n#lvm-shell .nav-spacer{flex:1}\n#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}\n#lvm-shell .nav-link:hover{color:var(--ink)}\n#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}\n#lvm-shell .nav-stores a{display:block;line-height:0}\n#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}\n#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}\n\n#lvm-shell .wrap{max-width:760px;margin:0 auto;padding:0 28px}\n\n#lvm-shell .hero{padding:54px 0 0}\n#lvm-shell .crumb{font-size:13px;color:var(--muted);margin-bottom:18px}\n#lvm-shell .crumb a{text-decoration:none;color:var(--muted)}\n#lvm-shell .crumb a:hover{color:var(--ink)}\n#lvm-shell .eyebrow{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink);margin-bottom:18px}\n#lvm-shell h1{font-family:var(--font-display);font-weight:600;font-size:64px;line-height:1.02;letter-spacing:-.04em;color:var(--ink);margin:0 0 22px}\n#lvm-shell h1 .alt{display:block;font-weight:500;color:var(--muted);font-size:.62em;line-height:1.15;margin-top:14px;letter-spacing:-.03em}\n#lvm-shell .dek{font-family:var(--font-display);font-size:24px;line-height:1.4;font-weight:400;color:var(--ink-2);letter-spacing:-.015em;margin:0 0 22px;max-width:680px}\n\n#lvm-shell .byline{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .byline .by-logo{width:26px;height:26px;border-radius:6px;object-fit:cover;flex-shrink:0;background:transparent;border:0}\n#lvm-shell .byline strong{color:var(--ink);font-weight:600;font-family:var(--font-display)}\n\n#lvm-shell .hero-stores{display:flex;gap:10px;margin:22px 0 18px;flex-wrap:wrap;align-items:center}\n#lvm-shell .hero-stores a{display:block;line-height:0;transition:transform .15s}\n#lvm-shell .hero-stores a:hover{transform:translateY(-2px)}\n#lvm-shell .hero-stores img{height:46px;width:auto;border-radius:9px}\n#lvm-shell .hero-stores .or{font-size:13px;color:var(--muted)}\n\n#lvm-shell .hero-bottom{display:grid;grid-template-columns:1.3fr 1fr;gap:48px;align-items:center;margin:38px 0 60px;padding-top:28px;border-top:1px solid var(--rule-soft)}\n#lvm-shell .hero-lead{font-family:var(--font-display);font-size:21px;line-height:1.5;color:var(--ink-2);font-weight:400}\n\n#lvm-shell .phone-wrap{display:flex;justify-content:center}\n#lvm-shell .phone{\n  position:relative;\n  width:280px;\n  background:linear-gradient(145deg,#2a2a2a,#0e0e0e);\n  border-radius:42px;\n  padding:5px;\n  border:1.5px solid rgba(255,255,255,.07);\n  box-shadow:0 30px 60px rgba(0,0,0,.18), 0 2px 6px rgba(0,0,0,.08);\n}\n#lvm-shell .phone .notch{\n  position:absolute;top:0;left:50%;transform:translateX(-50%);\n  width:96px;height:24px;background:#0a0a0a;border-radius:0 0 16px 16px;z-index:10;\n}\n#lvm-shell .phone-screen{\n  position:relative;\n  border-radius:34px;overflow:hidden;\n  background:#FAF0E6;\n  aspect-ratio:9\/19.5;\n}\n#lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\n#lvm-shell .phone-bg.tab-depense{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\")}\n#lvm-shell .phone-bg.tab-bilan{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\")}\n#lvm-shell .phone-bg.tab-kcal{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\")}\n#lvm-shell .phone-bg.tab-strategie{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\")}\n#lvm-shell .phone-bg.sub-BMR{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\")}\n#lvm-shell .phone-bg.sub-NEAT{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\")}\n#lvm-shell .phone-bg.sub-EAT{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\")}\n#lvm-shell .phone-bg.sub-TEF{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\")}\n#lvm-shell .phone-zones{position:absolute;inset:0;z-index:15;pointer-events:none}\n#lvm-shell .phone-zones .z{position:absolute;left:4%;right:4%;cursor:pointer;background:transparent;border:0;padding:0;pointer-events:auto}\n#lvm-shell .phone-zones .z:focus-visible{outline:2px solid var(--pink);outline-offset:-4px;border-radius:6px}\n#lvm-shell .phone-navbar{position:absolute;left:0;right:0;bottom:0;height:9%;z-index:16;display:grid;grid-template-columns:repeat(4,1fr)}\n#lvm-shell .phone-navbar button{background:transparent;border:0;padding:0;cursor:pointer}\n#lvm-shell .phone-navbar button:focus-visible{outline:2px solid var(--pink);outline-offset:-3px;border-radius:6px}\n#lvm-shell .phone-back{\n  position:absolute;top:10px;left:10px;z-index:20;\n  width:30px;height:30px;border-radius:50%;\n  border:0;background:rgba(255,255,255,.78);backdrop-filter:blur(8px);\n  color:var(--ink);font-size:18px;font-weight:600;line-height:1;cursor:pointer;\n  display:none;align-items:center;justify-content:center;\n  box-shadow:0 2px 6px rgba(0,0,0,.12);\n}\n#lvm-shell .phone-back.on{display:flex}\n\n#lvm-shell .phone-cap{margin-top:14px;text-align:center;font-size:12px;color:var(--muted);font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .phone-stage{position:relative}\n#lvm-shell .tap-hint{position:absolute;z-index:30;pointer-events:none;animation:hintFloat 2.6s ease-in-out infinite}\n#lvm-shell .tap-hint .th-pill{display:inline-block;font-family:var(--font-display);font-size:15px;font-weight:600;color:#fff;line-height:1.25;letter-spacing:-.005em;background:var(--pink);padding:10px 16px;border-radius:14px;box-shadow:0 14px 32px rgba(255,45,110,.32);white-space:nowrap}\n#lvm-shell .tap-hint .th-pill small{display:block;font-size:11px;font-weight:500;color:rgba(255,255,255,.85);text-transform:uppercase;letter-spacing:.08em;margin-bottom:3px}\n#lvm-shell .tap-hint .th-arrow{position:absolute;color:var(--pink)}\n#lvm-shell .tap-hint.desktop{left:-204px;top:4px;text-align:right}\n#lvm-shell .tap-hint.desktop .th-arrow{right:-86px;top:58px;width:104px;height:34px;transform:none}\n#lvm-shell .tap-hint.mobile{display:none}\n#lvm-shell .tap-hint.hidden{opacity:0;transform:translateY(-6px);transition:opacity .35s ease, transform .35s ease;animation:none}\n@keyframes hintFloat{\n  0%, 100%{transform:translateY(0)}\n  50%{transform:translateY(-7px)}\n}\n@media (prefers-reduced-motion:reduce){#lvm-shell .tap-hint{animation:none}}\n#lvm-shell .phone-tabs{display:flex;justify-content:center;gap:8px;margin-top:10px;flex-wrap:nowrap}\n#lvm-shell .phone-tabs button{\n  background:transparent;border:1px solid var(--rule);color:var(--muted);\n  padding:6px 11px;border-radius:999px;font-size:11px;cursor:pointer;\n  font-family:var(--font-text);transition:all .15s;white-space:nowrap;\n}\n#lvm-shell .phone-tabs button:hover{color:var(--ink);border-color:var(--ink)}\n#lvm-shell .phone-tabs button.on{background:var(--ink);color:#fff;border-color:var(--ink)}\n\n#lvm-shell .snippet{background:var(--paper);border-radius:18px;padding:30px 32px;margin:48px 0 0;border:1px solid var(--rule-soft)}\n#lvm-shell .snippet .lbl{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:14px}\n#lvm-shell .snippet p{margin:0;font-family:var(--font-display);font-size:21px;line-height:1.45;color:var(--ink);font-weight:500;letter-spacing:-.012em}\n\n#lvm-shell section{padding:64px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell section:last-of-type{border-bottom:0}\n#lvm-shell .section-label{display:flex;align-items:center;gap:14px;margin-bottom:30px}\n#lvm-shell .section-label .bar{width:24px;height:1px;background:var(--pink)}\n#lvm-shell .section-label .num{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink)}\n#lvm-shell h2{font-family:var(--font-display);font-weight:600;font-size:48px;line-height:1.05;letter-spacing:-.035em;color:var(--ink);margin:0 0 24px}\n#lvm-shell h3{font-family:var(--font-display);font-weight:600;font-size:32px;line-height:1.15;letter-spacing:-.025em;color:var(--ink);margin:36px 0 16px}\n#lvm-shell h4{font-family:var(--font-display);font-weight:500;font-size:20px;line-height:1.3;letter-spacing:-.015em;color:var(--ink);margin:24px 0 10px}\n#lvm-shell p{margin:0 0 22px;color:var(--ink-2)}\n#lvm-shell strong{color:var(--ink);font-weight:600}\n#lvm-shell ul, #lvm-shell ol{margin:0 0 22px;padding-left:22px;color:var(--ink-2)}\n#lvm-shell li{margin-bottom:8px}\n#lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\n#lvm-shell a.inline:hover{text-decoration-thickness:2px}\n\n#lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\n#lvm-shell .statement .num{font-family:var(--font-display);font-size:60px;font-weight:600;line-height:1;letter-spacing:-.04em;color:var(--pink);margin-bottom:14px}\n#lvm-shell .statement .lbl{font-family:var(--font-display);font-size:23px;line-height:1.35;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n\n\/* Cards color\u00e9es scannables : 1 message cl\u00e9 chiffr\u00e9 par pilier, couleur DA du pilier *\/\n#lvm-shell .keycard{margin:42px 0;border-radius:20px;padding:30px 28px;border:1px solid var(--rule);background:#fff}\n#lvm-shell .keycard .kc-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;margin-bottom:12px}\n#lvm-shell .keycard .kc-num{font-family:var(--font-display);font-size:56px;font-weight:600;line-height:1;letter-spacing:-.04em;margin-bottom:12px}\n#lvm-shell .keycard .kc-lbl{font-family:var(--font-display);font-size:20px;line-height:1.4;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n#lvm-shell .keycard.bmr{background:rgba(250,37,108,.06);border-color:rgba(250,37,108,.28)}\n#lvm-shell .keycard.bmr .kc-num, #lvm-shell .keycard.bmr .kc-tag{color:var(--bmr)}\n#lvm-shell .keycard.neat{background:rgba(255,140,0,.07);border-color:rgba(255,140,0,.32)}\n#lvm-shell .keycard.neat .kc-num, #lvm-shell .keycard.neat .kc-tag{color:var(--neat)}\n#lvm-shell .keycard.eat{background:rgba(232,77,68,.06);border-color:rgba(232,77,68,.30)}\n#lvm-shell .keycard.eat .kc-num, #lvm-shell .keycard.eat .kc-tag{color:var(--eat)}\n#lvm-shell .keycard.tef{background:rgba(76,175,80,.07);border-color:rgba(76,175,80,.32)}\n#lvm-shell .keycard.tef .kc-num, #lvm-shell .keycard.tef .kc-tag{color:var(--tef)}\n#lvm-shell .keycard.adapt{background:rgba(168,213,160,.16);border-color:rgba(168,213,160,.85)}\n#lvm-shell .keycard.adapt .kc-num, #lvm-shell .keycard.adapt .kc-tag{color:#4E8A46}\n\n\/* \u00c9quation visuelle de conclusion : 4 briques additives, la 5\u00e8me \u00e0 part (multiplicative) *\/\n#lvm-shell .eqcard{margin:36px 0 10px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:30px 26px;text-align:center}\n#lvm-shell .eqcard .eq-line{display:flex;flex-wrap:wrap;justify-content:center;align-items:center;gap:10px;font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .eqcard .eq-p{display:inline-block;padding:9px 16px;border-radius:12px;color:#fff;font-size:17px;font-weight:600;letter-spacing:-.005em}\n#lvm-shell .eqcard .eq-p.k-tdee{background:var(--ink)}\n#lvm-shell .eqcard .eq-p.k-bmr{background:var(--bmr)}\n#lvm-shell .eqcard .eq-p.k-neat{background:var(--neat)}\n#lvm-shell .eqcard .eq-p.k-eat{background:var(--eat)}\n#lvm-shell .eqcard .eq-p.k-tef{background:var(--tef)}\n#lvm-shell .eqcard .eq-note{margin-top:16px;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .eqcard .eq-note .eq-p{background:var(--adapt);color:#1D3A18;font-size:13px;padding:6px 12px;margin-right:6px}\n\n#lvm-shell .fig{margin:32px 0 18px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 22px 20px;position:relative;overflow:hidden}\n#lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\n#lvm-shell .fig-head .l{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .fig-head .r{font-family:var(--font-mono);font-size:11px;font-weight:600;color:var(--ink);text-transform:uppercase;letter-spacing:.08em}\n#lvm-shell .fig-body{position:relative}\n#lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .fig-cap strong{color:var(--ink);font-weight:600}\n#lvm-shell .cv-wrap{position:relative;height:360px}\n\n#lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\n#lvm-shell [data-term]:hover{color:var(--ink)}\n#lvm-shell .tt{position:absolute;left:50%;bottom:calc(100% + 12px);transform:translateX(-50%);min-width:200px;max-width:300px;background:#0c0c0c;color:#fff;font-size:13px;line-height:1.45;padding:11px 14px;border-radius:10px;box-shadow:0 12px 36px rgba(0,0,0,.32);opacity:0;visibility:hidden;transition:opacity .15s, visibility .15s;z-index:120;pointer-events:none;font-weight:400;font-family:var(--font-text)}\n#lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\n#lvm-shell [data-term]:hover .tt, #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\n\n#lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\n#lvm-shell .mini-phone{position:relative;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);border-radius:22px;padding:3px;border:1px solid rgba(255,255,255,.05);box-shadow:0 14px 32px rgba(0,0,0,.16);max-width:160px;margin:0 auto;width:100%}\n#lvm-shell .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;gap:10px;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* 00 : pills des clans dietetiques *\/\n#lvm-shell .clans{display:flex;flex-wrap:wrap;gap:10px;margin:26px 0 6px}\n#lvm-shell .clans .c{font-family:var(--font-mono);font-size:12px;font-weight:500;letter-spacing:.02em;padding:8px 15px;border:1px solid var(--rule);border-radius:999px;color:var(--muted);background:#fff;text-decoration:line-through;text-decoration-color:rgba(208,46,46,.6);text-decoration-thickness:1.5px}\n#lvm-shell .clans .one{background:var(--pink);color:#fff;border-color:var(--pink);text-decoration:none;font-weight:600}\n#lvm-shell .clans-cap{font-size:13px;color:var(--muted);margin:10px 0 0}\n\n\/* 01 : balance energetique 3 etats *\/\n#lvm-shell .balance{display:grid;grid-template-columns:repeat(3,1fr);gap:14px;margin:28px 0 10px}\n#lvm-shell .balance .b-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:22px 20px}\n#lvm-shell .balance .b-it .sign{font-family:var(--font-display);font-size:34px;font-weight:600;line-height:1;letter-spacing:-.03em}\n#lvm-shell .balance .deficit .sign{color:var(--green)}\n#lvm-shell .balance .maint .sign{color:var(--amber)}\n#lvm-shell .balance .surplus .sign{color:var(--red)}\n#lvm-shell .balance .b-it h4{margin:12px 0 6px;font-size:17px}\n#lvm-shell .balance .b-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n\n\/* 02 : les 5 briques du TDEE *\/\n#lvm-shell .comp{display:grid;grid-template-columns:repeat(2,1fr);gap:14px;margin:28px 0 10px}\n#lvm-shell .comp .c-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:20px 22px;position:relative}\n#lvm-shell .comp .c-it .dot{width:12px;height:12px;border-radius:50%;display:inline-block;margin-right:8px;vertical-align:baseline}\n#lvm-shell .comp .c-it .tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);display:flex;align-items:center;margin-bottom:8px}\n#lvm-shell .comp .c-it h4{margin:0 0 6px;font-size:18px}\n#lvm-shell .comp .c-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .comp .c-it.wide{grid-column:1\/-1;background:rgba(168,213,160,.14);border-color:rgba(168,213,160,.7)}\n\n\/* 04 : echelle MET seuil 3 *\/\n#lvm-shell .metscale{margin:30px 0 12px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 24px 22px}\n#lvm-shell .metscale .ms-head{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:58px}\n#lvm-shell .metscale .track{position:relative;height:12px;border-radius:99px;background:linear-gradient(90deg,var(--neat) 0%,var(--neat) 33.3%,var(--eat) 33.3%,var(--eat) 100%);margin:0 8px}\n#lvm-shell .metscale .thresh{position:absolute;left:33.3%;top:-8px;bottom:-8px;width:2px;background:var(--ink);transform:translateX(-50%)}\n#lvm-shell .metscale .thresh-pill{position:absolute;left:33.3%;top:-46px;transform:translateX(-50%);background:var(--ink);color:#fff;font-family:var(--font-mono);font-size:11px;font-weight:600;padding:6px 11px;border-radius:99px;white-space:nowrap}\n#lvm-shell .metscale .zones{display:flex;margin:14px 8px 0}\n#lvm-shell .metscale .zones .zn{font-family:var(--font-display);font-size:14px;font-weight:600}\n#lvm-shell .metscale .zones .zn small{display:block;font-family:var(--font-text);font-size:12px;color:var(--muted);font-weight:400}\n#lvm-shell .metscale .zones .zn.neat{width:33.3%;color:var(--neat)}\n#lvm-shell .metscale .zones .zn.eat{width:66.7%;text-align:right;color:var(--eat)}\n#lvm-shell .metscale .ex{display:flex;flex-wrap:wrap;gap:8px;margin:20px 8px 0}\n#lvm-shell .metscale .ex span{font-size:12px;color:var(--ink-2);background:var(--paper);border:1px solid var(--rule-soft);border-radius:999px;padding:5px 12px}\n#lvm-shell .metscale .ex b{font-weight:600;color:var(--ink)}\n\n\/* 05 : montre connectee vs realite *\/\n#lvm-shell .watch{display:grid;grid-template-columns:1fr 1fr;gap:14px;margin:28px 0 10px}\n#lvm-shell .watch .w-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:26px 22px;text-align:center}\n#lvm-shell .watch .w-it .k{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:10px}\n#lvm-shell .watch .w-it .big{font-family:var(--font-display);font-size:46px;font-weight:600;line-height:1;letter-spacing:-.04em}\n#lvm-shell .watch .bad .big{color:var(--red)}\n#lvm-shell .watch .good .big{color:var(--pink)}\n#lvm-shell .watch .w-it p{margin:10px 0 0;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .watch-cap{font-size:13px;color:var(--muted);margin:8px 0 0}\n\n\/* 06 : TEF par macro (ordre verrouille P, G, L) *\/\n#lvm-shell .tefbars{margin:30px 0 12px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 24px 24px}\n#lvm-shell .tefbars .tb-head{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:20px}\n#lvm-shell .tefbars .tb{display:grid;grid-template-columns:98px 1fr 76px;gap:14px;align-items:center;margin:14px 0}\n#lvm-shell .tefbars .tb .lab{font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .tefbars .tb .bar{height:12px;border-radius:99px;background:var(--rule-soft);overflow:hidden}\n#lvm-shell .tefbars .tb .bar > i{display:block;height:100%;border-radius:99px}\n#lvm-shell .tefbars .tb.p .bar > i{background:var(--macro-p);width:83%}\n#lvm-shell .tefbars .tb.g .bar > i{background:var(--macro-g);width:25%}\n#lvm-shell .tefbars .tb.l .bar > i{background:var(--macro-l);width:7%}\n#lvm-shell .tefbars .tb .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);text-align:right}\n#lvm-shell .tefbars .tb-cap{font-size:13px;color:var(--muted);margin:16px 0 0;line-height:1.5}\n\n\/* 09 : checklist recap (feat-stack) *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:42px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .keycard{margin:32px 0;padding:24px 20px;border-radius:16px}\n  #lvm-shell .keycard .kc-num{font-size:40px}\n  #lvm-shell .keycard .kc-lbl{font-size:17px}\n  #lvm-shell .eqcard{padding:24px 16px}\n  #lvm-shell .eqcard .eq-line{font-size:18px;gap:7px}\n  #lvm-shell .eqcard .eq-p{font-size:14px;padding:7px 12px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:26px 22px;gap:18px;flex-direction:column;align-items:center;text-align:center}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0;width:100%;text-align:center}\n  #lvm-shell .cta-band .stores{width:100%;justify-content:center}\n  #lvm-shell .cta-band .stores img{height:42px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .pyramid .l4{width:64%}\n  #lvm-shell .balance{grid-template-columns:1fr;gap:10px}\n  #lvm-shell .comp{grid-template-columns:1fr;gap:10px}\n  #lvm-shell .metscale{padding:22px 16px 18px}\n  #lvm-shell .metscale .thresh-pill{font-size:10px;padding:5px 9px;top:-42px}\n  #lvm-shell .metscale .ex span{font-size:11px;padding:4px 10px}\n  #lvm-shell .watch{grid-template-columns:1fr 1fr;gap:10px}\n  #lvm-shell .watch .w-it{padding:20px 12px}\n  #lvm-shell .watch .w-it .big{font-size:34px}\n  #lvm-shell .tefbars{padding:22px 16px 18px}\n  #lvm-shell .tefbars .tb{grid-template-columns:82px 1fr 64px;gap:10px}\n  #lvm-shell .tefbars .tb .lab{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1803 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1803 #lvm-shell .wrap,\nbody.postid-1803 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1803 #lvm-shell .wrap,\n  body.postid-1803 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1803 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1803 #lvm-shell *{max-width:100%}\nbody.postid-1803 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1803 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1803 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1803 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === CTA BANDS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1803 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1803 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1803 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1803 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1803 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1803 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1803 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1803 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1803 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1803 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1803 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1803 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1803 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1803 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1803 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1803 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1803 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1803 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === A.5 MINI-PHONES triplet tracking === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1803 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1803 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1803 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1803 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1803 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1803 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1803 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST fin de partie BMR (memoire bloquante bodyscan_iphone_after_bmr) === *\/\nbody.postid-1803 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1803 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* === P.1 COMPOSANTS GUIDE (clans \/ balance \/ comp \/ metscale \/ watch \/ tefbars) === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .balance{grid-template-columns:1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .comp{grid-template-columns:1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .watch{grid-template-columns:1fr 1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .watch .w-it .big{font-size:34px!important}\n  body.postid-1803 #lvm-shell .metscale{padding:22px 16px 18px!important}\n  body.postid-1803 #lvm-shell .metscale .thresh-pill{font-size:10px!important;padding:5px 9px!important;top:-42px!important}\n  body.postid-1803 #lvm-shell .tefbars{padding:22px 16px 18px!important}\n  body.postid-1803 #lvm-shell .tefbars .tb{grid-template-columns:82px 1fr 64px!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .feat-it{grid-template-columns:auto 1fr!important;gap:14px!important;padding:20px 0!important}\n  body.postid-1803 #lvm-shell .feat-it .fn{font-size:36px!important;width:54px!important}\n  body.postid-1803 #lvm-shell .feat-it .fc{display:none!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/pt\/\" aria-label=\"In\u00edcio Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar na App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Dispon\u00edvel no Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; Calcular seu gasto cal\u00f3rico real<\/div>\n  <div class=\"eyebrow\">Guia de refer\u00eancia &middot; Gasto cal\u00f3rico &amp; TDEE<\/div>\n  <h1 id=\"title\">Como calcular seu gasto cal\u00f3rico real.\n    <span class=\"alt\">O guia completo: BMR, NEAT, EAT, TEF, e o 5.\u00ba tijolo que 95&nbsp;% das pessoas ignoram.<\/span>\n  <\/h1>\n  <p class=\"dek\">Se voc\u00ea registra suas calorias sem registrar seu gasto com o mesmo rigor, est\u00e1 pilotando \u00e0s cegas. Este guia te ensina a calcular cada componente do seu TDEE, com as fontes, as armadilhas e os n\u00fameros.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>A equipe Lean<\/strong> &middot; Leitura 25&nbsp;min &middot; Atualizado em 16 de agosto de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Download gratuito<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Perder gordura, ficar seco, manter o resultado: tudo repousa no balan\u00e7o energ\u00e9tico. E no entanto, quase todo mundo o calcula mal, porque quase todo mundo calcula mal seu gasto. F\u00f3rmula de 1919, coeficiente de atividade congelado, rel\u00f3gio que dobra as calorias do esporte: cada elo acrescenta seu erro. Este guia retoma o c\u00e1lculo do zero, pilar por pilar, com os estudos que decidem e as diferen\u00e7as em kcal.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela<br>para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vis\u00e3o geral do app Lean com detalhamento do TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Voltar\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vis\u00e3o geral Lean, aba Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Aba Balan\u00e7o\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Aba Calorias\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Aba Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Aba Estrat\u00e9gia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar no app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balan\u00e7o<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorias<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrat\u00e9gia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Resposta r\u00e1pida<\/div>\n    <p>Seu gasto cal\u00f3rico di\u00e1rio se calcula somando 4 rubricas: <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Seu gasto energ\u00e9tico total em 24 horas.<\/span><\/span> = <span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energia gasta em repouso. Calcula-se sobre a massa magra, portanto sobre a gordura corporal real.<\/span><\/span> + <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Gasto ligado aos passos e \u00e0s atividades cotidianas fora do esporte.<\/span><\/span> + <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Gasto ligado aos seus treinos, calculado via MET.<\/span><\/span> + <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energia gasta pela digest\u00e3o. Depende dos macros ingeridos.<\/span><\/span>. O BMR deve ser calculado sobre sua massa magra (portanto sua gordura corporal real, n\u00e3o seu peso), o NEAT sobre seus passos reais, o EAT sobre o tempo efetivo de esporte, o TEF sobre seus macros. O 5.\u00ba tijolo, a adapta\u00e7\u00e3o metab\u00f3lica, modula seu BMR para baixo em d\u00e9ficit prolongado: o Lean \u00e9 o \u00fanico app que calcula os 5.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"promesse\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; A promessa<\/span><\/div>\n  <h2 id=\"promesse\">Voc\u00ea vai entender por que estagna<\/h2>\n  <p>Como perder gordura, ficar seco e continuar assim? Estamos em 2026 e voc\u00ea ainda \u00e9 bombardeado de respostas contradit\u00f3rias: jejum intermitente, cetog\u00eanica, carn\u00edvora, sem a\u00e7\u00facar, 10&nbsp;000 passos por dia, n\u00e3o, perd\u00e3o, 15&nbsp;000. Normal estar afogado.<\/p>\n  <p>Aqui est\u00e1 a chave que ningu\u00e9m destaca: <strong>todas essas dietas s\u00e3o apenas t\u00e1ticas<\/strong>. Aplica\u00e7\u00f5es de uma teoria cientificamente estabelecida h\u00e1 d\u00e9cadas: o balan\u00e7o energ\u00e9tico. Se voc\u00ea a entende, entende todos os bastidores, e para de participar das guerras de cl\u00e3s diet\u00e9ticos.<\/p>\n\n  <div class=\"clans\" aria-label=\"As t\u00e1ticas diet\u00e9ticas diante da teoria\">\n    <span class=\"c\">Jejum intermitente<\/span>\n    <span class=\"c\">Cetog\u00eanica<\/span>\n    <span class=\"c\">Carn\u00edvora<\/span>\n    <span class=\"c\">Sem a\u00e7\u00facar<\/span>\n    <span class=\"c\">Low carb<\/span>\n    <span class=\"c\">Detox<\/span>\n    <span class=\"c one\">1 teoria: o balan\u00e7o energ\u00e9tico<\/span>\n  <\/div>\n  <div class=\"clans-cap\">Cada dieta da moda \u00e9 apenas uma forma entre outras de criar um d\u00e9ficit. Nenhuma \u00e9 m\u00e1gica. A teoria por baixo, essa, nunca muda.<\/div>\n\n  <p>Entre os usu\u00e1rios do Lean, o padr\u00e3o se repete sistematicamente: anos de erros cl\u00e1ssicos antes de finalmente encontrar a teoria certa. Uma vez aplicada, alguns anos bastam para transformar um f\u00edsico, sem gen\u00e9tica excepcional.<\/p>\n  <p>Uma regra de ouro n\u00e3o negoci\u00e1vel antes de come\u00e7ar: <strong>o princ\u00edpio n\u00famero 1 \u00e9 a ader\u00eancia<\/strong>. Dieta extrema, ultrarr\u00edgida, que estraga sua vida social ou sua sa\u00fade mental: banir. Um m\u00e9todo que voc\u00ea n\u00e3o consegue manter por 12 meses \u00e9 um m\u00e9todo ruim, seja qual for sua pureza te\u00f3rica.<\/p>\n<\/section>\n\n<section aria-labelledby=\"ancrage\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; A base<\/span><\/div>\n  <h2 id=\"ancrage\">D\u00e9ficit, manuten\u00e7\u00e3o, super\u00e1vit: o balan\u00e7o energ\u00e9tico<\/h2>\n  <p>Seu corpo gasta energia todo dia: \u00e9 o <strong>TDEE<\/strong> (Total Daily Energy Expenditure), seu gasto energ\u00e9tico total di\u00e1rio. Ele tamb\u00e9m absorve energia, via sua alimenta\u00e7\u00e3o. A compara\u00e7\u00e3o dos dois d\u00e1 tr\u00eas estados poss\u00edveis, e somente tr\u00eas.<\/p>\n\n  <div class=\"balance\" aria-label=\"Os tr\u00eas estados do balan\u00e7o energ\u00e9tico\">\n    <div class=\"b-it deficit\">\n      <div class=\"sign\">&minus;<\/div>\n      <h4>D\u00e9ficit cal\u00f3rico<\/h4>\n      <p>Voc\u00ea come menos do que seu gasto. Seu corpo puxa das reservas: voc\u00ea perde peso.<\/p>\n    <\/div>\n    <div class=\"b-it maint\">\n      <div class=\"sign\">=<\/div>\n      <h4>Manuten\u00e7\u00e3o<\/h4>\n      <p>Voc\u00ea come tanto quanto seu gasto. Seu peso \u00e9 est\u00e1vel, seu metabolismo se regenera.<\/p>\n    <\/div>\n    <div class=\"b-it surplus\">\n      <div class=\"sign\">+<\/div>\n      <h4>Super\u00e1vit cal\u00f3rico<\/h4>\n      <p>Voc\u00ea come mais do que seu gasto. Seu corpo estoca o excedente: voc\u00ea ganha peso.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-poids.webp\" alt=\"Courbe de poids Lean sur un mois de d\u00e9ficit, avec masse maigre et masse grasse\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Curva de peso<strong>O d\u00e9ficit aparece<\/strong><\/div>\n    <\/div>\n    <div>\n      <p>Quando voc\u00ea est\u00e1 em d\u00e9ficit, seu corpo puxa das reservas em uma ordem precisa. Primeiro o <strong>glicog\u00eanio<\/strong>, uma forma de glicose estocada nos m\u00fasculos e no f\u00edgado, esgotada muito r\u00e1pido. Depois as <strong>reservas de gordura<\/strong>, decompostas em \u00e1cidos graxos e usadas como combust\u00edvel. S\u00f3 em caso de d\u00e9ficit muito severo e prolongado o corpo decomp\u00f5e significativamente prote\u00ednas musculares.<\/p>\n      <p>Isso resolve um mito teimoso: n\u00e3o, o d\u00e9ficit n\u00e3o \u00ab&nbsp;come seus m\u00fasculos&nbsp;\u00bb desde o primeiro dia. Um d\u00e9ficit razo\u00e1vel, com prote\u00edna suficiente e um treino de resist\u00eancia, faz perder gordura, n\u00e3o m\u00fasculo.<\/p>\n    <\/div>\n  <\/div>\n  <p>D\u00e9ficit, manuten\u00e7\u00e3o, super\u00e1vit: nada de novo. <strong>Toda a chave da teoria est\u00e1 em outro lugar<\/strong> : no c\u00e1lculo preciso do seu gasto. Se voc\u00ea n\u00e3o rastreia seu gasto t\u00e3o bem quanto suas calorias, todo o resto n\u00e3o serve para nada.<\/p>\n<\/section>\n\n<section aria-labelledby=\"probleme\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; O verdadeiro problema<\/span><\/div>\n  <h2 id=\"probleme\">Um erro de 300 kcal basta para anular tudo<\/h2>\n  <p>Aqui est\u00e1 o cen\u00e1rio que trava milh\u00f5es de pessoas. Voc\u00ea quer um d\u00e9ficit de cerca de 250&nbsp;kcal. Acha que seu TDEE \u00e9 de 2&nbsp;500&nbsp;kcal, ent\u00e3o se fixa em 2&nbsp;250&nbsp;kcal por dia, direitinho, todos os dias. Mas como o c\u00e1lculo estava errado, seu TDEE real \u00e9 de 2&nbsp;200&nbsp;kcal.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">0 chance<\/div>\n    <div class=\"lbl\">de perder peso se voc\u00ea come 2&nbsp;250&nbsp;kcal com um TDEE real de 2&nbsp;200. Voc\u00ea acha que est\u00e1 em d\u00e9ficit de 250. Est\u00e1 em super\u00e1vit de 50. E nem pode saber disso.<\/div>\n  <\/div>\n\n  <p>\u00c9 esse o verdadeiro problema. N\u00e3o sua for\u00e7a de vontade, n\u00e3o seus carboidratos \u00e0 noite, n\u00e3o seu cardio em jejum: um simples erro de estimativa, invis\u00edvel, que transforma seu d\u00e9ficit te\u00f3rico em super\u00e1vit real. Calcular com precis\u00e3o seu TDEE \u00e9 <strong>o que vai destravar todos os bloqueios<\/strong>. Voc\u00ea pode obter uma primeira estimativa com a <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">calculadora de TDEE Lean online<\/a>, e depois ler a sequ\u00eancia para entender cada tijolo.<\/p>\n  <p>De que \u00e9 composto o TDEE? De quatro rubricas de gasto que se somam, detalhadas no <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">pilar dedicado ao gasto energ\u00e9tico total<\/a> :<\/p>\n\n  <div class=\"comp\" aria-label=\"Os 4 componentes do TDEE e o 5.\u00ba bloco\">\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--bmr)\"><\/span>Rubrica 1 &middot; BMR<\/div>\n      <h4>Metabolismo basal<\/h4>\n      <p>A energia que seu corpo queima em repouso completo: \u00f3rg\u00e3os, c\u00e9rebro, circula\u00e7\u00e3o. A maior rubrica, e a que quase todo mundo calcula mal.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--neat)\"><\/span>Rubrica 2 &middot; NEAT<\/div>\n      <h4>Atividade fora do esporte<\/h4>\n      <p>Andar, ficar em p\u00e9, digitar, gesticular. Dominada pelos seus passos. A alavanca mais subestimada de todo o gasto.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--eat)\"><\/span>Rubrica 3 &middot; EAT<\/div>\n      <h4>Exerc\u00edcio \/ esporte<\/h4>\n      <p>Seus treinos, calculados via seu MET e o tempo efetivo de esfor\u00e7o. Muito menor do que o que seu rel\u00f3gio mostra.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--tef)\"><\/span>Rubrica 4 &middot; TEF<\/div>\n      <h4>Efeito t\u00e9rmico dos alimentos<\/h4>\n      <p>A energia gasta para digerir. Depende dos macros: as prote\u00ednas custam bem mais caro para digerir do que as gorduras.<\/p>\n    <\/div>\n    <div class=\"c-it wide\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--adapt)\"><\/span>5.\u00ba tijolo &middot; \u00e0 parte<\/div>\n      <h4>A adapta\u00e7\u00e3o metab\u00f3lica<\/h4>\n      <p>Ela n\u00e3o se soma \u00e0s 4 rubricas: modula seu BMR para baixo quando voc\u00ea fica em d\u00e9ficit, como um coeficiente. Conven\u00e7\u00e3o Lean: uma pontua\u00e7\u00e3o que parte de 100&nbsp;% (ideal) e desce. Dedicamos a ela toda a parte 5, \u00e9 o chef\u00e3o final.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>A equa\u00e7\u00e3o \u00e9 simples de escrever: <strong>TDEE = BMR + NEAT + EAT + TEF<\/strong>. \u00c9 muito menos simples de calcular corretamente, porque cada rubrica tem sua armadilha, seu erro dominante espalhado em 99&nbsp;% das ferramentas, e seu m\u00e9todo verdadeiro. \u00c9 o programa das cinco partes a seguir: quatro rubricas a somar, um tijolo multiplicativo a vigiar.<\/p>\n<\/section>\n\n<section aria-labelledby=\"bmr\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Pilar 1 &middot; BMR<\/span><\/div>\n  <h2 id=\"bmr\">O BMR: seu metabolismo basal, calculado sobre sua massa magra<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">O que \u00e9 exatamente<\/div>\n      <p>O <strong>BMR<\/strong> (Basal Metabolic Rate) \u00e9 seu metabolismo basal: a energia gasta em repouso completo. Deitado 24 horas sem se mexer, a energia consumida pelos seus \u00f3rg\u00e3os, seu c\u00e9rebro, seu f\u00edgado, sua circula\u00e7\u00e3o, \u00e9 seu BMR: de 60 a 75&nbsp;% do gasto total para a maioria das pessoas. Se seu BMR est\u00e1 errado, todo o seu TDEE est\u00e1 errado. O conceito \u00e9 detalhado no <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\">pilar do metabolismo basal<\/a>.<\/p>\n      <p>No Lean, seu BMR vive na tela: recalculado continuamente, com sua pontua\u00e7\u00e3o de adapta\u00e7\u00e3o mostrada logo ao lado.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-bmr.webp\" alt=\"\u00c9cran BMR de Lean : m\u00e9tabolisme de base jour par jour et score d'adaptation\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Tela BMR<strong>Recalculado continuamente<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>O erro dominante: f\u00f3rmulas pelo peso, uma delas de 1919<\/h3>\n  <p>A primeira armadilha do guia: usar a equa\u00e7\u00e3o errada. A mais usada no mundo se chama Harris-Benedict: redes sociais, coaches, aplicativos de tracking, algumas escolas de nutri\u00e7\u00e3o. Ora, sabe-se, h\u00e1 mais de 20 anos, que ela n\u00e3o est\u00e1 mais atualizada.<\/p>\n  <p>Contexto: <strong>1919<\/strong>. Harris e Benedict deitam <strong>239 homens e mulheres, todos da mesma cidade<\/strong> (Boston, Estados Unidos), uma m\u00e1scara medindo o oxig\u00eanio consumido, e extraem uma lei geral segundo o peso, a altura, a idade e o sexo. Brilhante para a \u00e9poca, mas: uma amostra min\u00fascula, sujeitos com estilos de vida e perfis hormonais muito diferentes dos nossos, uma calorimetria ainda imprecisa. Desde ent\u00e3o, muitos estudos mostraram que Harris-Benedict <strong>superestima o metabolismo basal<\/strong>. Mifflin-St Jeor, publicada em 1990 sobre uma amostra mais moderna (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>), corrige parte do tiro, mas mant\u00e9m o defeito estrutural de toda a fam\u00edlia: <strong>ela s\u00f3 conhece seu peso, sua altura, sua idade e seu sexo<\/strong>. Frankenfield 2013 (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>) mediu sua precis\u00e3o diante da calorimetria indireta de refer\u00eancia: correta nos sujeitos magros, ela cai para 75&nbsp;% de previs\u00f5es aceit\u00e1veis nos sujeitos com sobrepeso. Nem 1919 nem 1990 podem servir de base a um d\u00e9ficit preciso.<\/p>\n\n  <h3>O que a ci\u00eancia decidiu: a massa gorda quase n\u00e3o gasta nada<\/h3>\n  <p>Desde os trabalhos dos anos 1980, sabe-se que o metabolismo segue a <strong>massa magra<\/strong> : seu peso menos sua massa gorda. F\u00edgado, c\u00e9rebro, cora\u00e7\u00e3o e rins s\u00e3o enormes consumidores, os <strong>m\u00fasculos s\u00e3o a primeira rubrica ajust\u00e1vel<\/strong>, e o tecido adiposo quase n\u00e3o pesa. Uma f\u00f3rmula que s\u00f3 v\u00ea o peso trata 1&nbsp;kg de gordura como 1&nbsp;kg de m\u00fasculo: \u00e9 exatamente esse o erro dela.<\/p>\n  <p>Concretamente: pegue um homem de 1,80 m, 120&nbsp;kg, 30&nbsp;% de gordura corporal. Uma f\u00f3rmula pelo peso tipo Harris-Benedict d\u00e1 a ele um BMR de cerca de 2&nbsp;500&nbsp;kcal. Um c\u00e1lculo sobre sua massa magra real d\u00e1 cerca de 2&nbsp;000&nbsp;kcal. <strong>500&nbsp;kcal de diferen\u00e7a<\/strong>, o equivalente a uma refei\u00e7\u00e3o inteira, s\u00f3 na primeira rubrica do TDEE.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 1 &middot; Homem 1,80 m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Compara\u00e7\u00e3o BMR: a f\u00f3rmula por peso de 1919 d\u00e1 2500 kcal, o c\u00e1lculo sobre massa magra d\u00e1 2000 kcal, diferen\u00e7a de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>BMR estimado.<\/strong> A f\u00f3rmula pelo peso superestima em 500&nbsp;kcal porque conta a massa gorda como tecido ativo.<\/p>\n  <\/div>\n\n  <h3>O m\u00e9todo verdadeiro: peso, gordura corporal, massa magra<\/h3>\n  <p>Sua massa magra se deduz do seu peso e da sua gordura corporal: <strong>massa magra = peso &times; (1 &minus; gordura corporal)<\/strong>. Com 15&nbsp;% de gordura corporal para 80&nbsp;kg, sua massa magra vale 80 &times; 0,85 = 68&nbsp;kg. \u00c9 sobre ela que seu BMR deve ser calculado. Restar\u00e1 uma incerteza ligada \u00e0 medi\u00e7\u00e3o da gordura corporal, mas voc\u00ea reduz enormemente o erro em rela\u00e7\u00e3o a uma f\u00f3rmula pelo peso. Voc\u00ea pode fazer o c\u00e1lculo online com a <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\">calculadora de metabolismo basal Lean<\/a>.<\/p>\n  <p>O novo desafio se torna portanto: <strong>determinar sua gordura corporal com precis\u00e3o e simplicidade<\/strong>. Quatro t\u00e9cnicas existem, uma \u00fanica \u00e9 recomend\u00e1vel no dia a dia:<\/p>\n  <ul>\n    <li><strong>O adip\u00f4metro.<\/strong> Muito usado no YouTube, muito impreciso: erros de manipula\u00e7\u00e3o, reprodutibilidade ruim. Esquecer para pilotar um c\u00e1lculo de BMR.<\/li>\n    <li><strong>A balan\u00e7a de bioimped\u00e2ncia.<\/strong> A rela\u00e7\u00e3o resist\u00eancia-gordura corporal \u00e9 uma aproxima\u00e7\u00e3o gigantesca, e sua hidrata\u00e7\u00e3o faz o resultado variar v\u00e1rios pontos de um dia para outro. Usu\u00e1rios do Lean contam todos a mesma hist\u00f3ria: uma balan\u00e7a top de linha que mostrava 6 ou 7&nbsp;% a pessoas visivelmente com 15 ou 18. Uma balan\u00e7a serve para se pesar, ponto.<\/li>\n    <li><strong>O DEXA scan.<\/strong> A refer\u00eancia atual: raios X de intensidade muito baixa medem sua composi\u00e7\u00e3o corporal completa. Mas \u00e9 caro, pouco dispon\u00edvel, e seria preciso refazer toda semana. Irrealista como rotina.<\/li>\n    <li><strong>O scan por IA.<\/strong> O m\u00e9todo pratic\u00e1vel hoje: modelos treinados em enormes bancos de dados de pessoas que fizeram DEXA scans. Uma foto, sua gordura corporal estimada em alguns segundos, toda semana.<\/li>\n  <\/ul>\n  <p>\u00c9 exatamente o que faz o <strong>BodyScan IA<\/strong> do Lean: uma foto, 5 segundos, sua gordura corporal estimada, e seu BMR recalculado automaticamente por tr\u00e1s via um <strong>modelo propriet\u00e1rio patenteado<\/strong> constru\u00eddo sobre a massa magra real. \u00c9 o primeiro crit\u00e9rio que separa o Lean dos trackers cl\u00e1ssicos no <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/\">comparativo Lean diante do MyFitnessPal<\/a>.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Gordura corporal real<strong>Foto, 5 segundos<\/strong><\/div>\n  <\/div>\n\n  <div class=\"keycard bmr\">\n    <div class=\"kc-tag\">Pilar 1 &middot; BMR &middot; o n\u00famero a lembrar<\/div>\n    <div class=\"kc-num\">400&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">de diferen\u00e7a de BMR entre dois homens de 80&nbsp;kg, um com 10&nbsp;% de gordura corporal (BMR &asymp; 1&nbsp;900), o outro com 30&nbsp;% (BMR &asymp; 1&nbsp;500). Uma f\u00f3rmula pelo peso mostra a eles exatamente o mesmo n\u00famero.<\/div>\n  <\/div>\n\n  <p>Duas armadilhas fecham este pilar: os apps que calculam seu BMR sem nunca pedir sua gordura corporal, e os que simulam todo o resto com um coeficiente aplicado a esse BMR j\u00e1 errado. Essa segunda armadilha merece sua pr\u00f3pria parte: o NEAT.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\">Seu BMR sobre sua gordura corporal real, recalculado toda semana por BodyScan IA. Download gratuito.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"neat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Pilar 2 &middot; NEAT<\/span><\/div>\n  <h2 id=\"neat\">O NEAT: seu gasto fora do esporte, dominado pelos seus passos<\/h2>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-neat.webp\" alt=\"\u00c9cran NEAT de Lean : pas quotidiens et calories de marche sur la semaine\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Tela NEAT<strong>Seus passos, todo dia<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">O que \u00e9 exatamente<\/div>\n      <p>O <strong>NEAT<\/strong> (Non-Exercise Activity Thermogenesis) re\u00fane todo o gasto de n\u00e3o exerc\u00edcio: andar, ficar em p\u00e9, digitar. O conceito foi formalizado por Levine (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a>): com corpul\u00eancia igual, o NEAT pode variar em v\u00e1rias centenas de kcal por dia de um indiv\u00edduo para outro. Seu estudo de 2005 na Science (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15640470\/\" target=\"_blank\" rel=\"noopener\">PubMed 15640470<\/a>) mostra que a postura e o tempo passado em p\u00e9 distinguem estruturalmente as pessoas magras das pessoas com sobrepeso. \u00c9 a segunda rubrica do TDEE na maioria das pessoas, todo o detalhe est\u00e1 no <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">pilar NEAT<\/a>.<\/p>\n    <\/div>\n  <\/div>\n\n  <h3>A fronteira NEAT \/ EAT: o MET e o limiar de 3<\/h3>\n  <p>Para separar o n\u00e3o exerc\u00edcio do exerc\u00edcio, \u00e9 preciso o <span data-term=\"MET\">MET<span class=\"tt\">Metabolic Equivalent of Task. Mede a intensidade de uma atividade em m\u00faltiplo do gasto de repouso. 1 MET = repouso.<\/span><\/span> (Metabolic Equivalent of Task): a intensidade de uma atividade, em m\u00faltiplo do seu gasto de repouso. O Compendium of Physical Activities (Ainsworth 2011, <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>) lista o MET de centenas de atividades. A conven\u00e7\u00e3o cient\u00edfica fixa a fronteira em <strong>MET = 3<\/strong> : abaixo ou igual, NEAT; acima, EAT.<\/p>\n\n  <div class=\"metscale\" aria-label=\"Escala MET com o limiar de 3 que separa NEAT e EAT\">\n    <div class=\"ms-head\">A escala MET &middot; a fronteira cient\u00edfica entre n\u00e3o exerc\u00edcio e exerc\u00edcio<\/div>\n    <div class=\"track\">\n      <div class=\"thresh\"><\/div>\n      <div class=\"thresh-pill\">MET 3 &middot; caminhada &asymp; 5 km\/h<\/div>\n    <\/div>\n    <div class=\"zones\">\n      <div class=\"zn neat\">NEAT<small>n\u00e3o exerc\u00edcio<\/small><\/div>\n      <div class=\"zn eat\">EAT<small>exerc\u00edcio<\/small><\/div>\n    <\/div>\n    <div class=\"ex\">\n      <span>Teclado <b>1,3<\/b><\/span>\n      <span>Em p\u00e9 <b>1,8<\/b><\/span>\n      <span>Caminhada lenta <b>2,8<\/b><\/span>\n      <span>Caminhada r\u00e1pida <b>4,3<\/b><\/span>\n      <span>Muscula\u00e7\u00e3o <b>5,0<\/b><\/span>\n      <span>Corrida 10 km\/h <b>9,8<\/b><\/span>\n    <\/div>\n  <\/div>\n\n  <p>Detalhe curioso: a caminhada cai bem em cima da fronteira. Abaixo de 5&nbsp;km\/h, ela pertence ao NEAT; acima, ao EAT. Como quase sempre andamos abaixo de 5&nbsp;km\/h no dia a dia, a aproxima\u00e7\u00e3o \u00e9 muito s\u00f3lida: <strong>o NEAT \u00e9 o gasto ligado ao seu n\u00famero de passos<\/strong>. E ela se torna tanto mais verdadeira quanto mais voc\u00ea anda.<\/p>\n\n  <h3>O erro dominante: o coeficiente de atividade marcado de uma vez por todas<\/h3>\n  <p>Como a quase totalidade dos apps trata seu NEAT? Eles n\u00e3o o calculam. No cadastro, uma pergunta: \u00ab&nbsp;sedent\u00e1rio, pouco ativo, ativo, muito ativo?&nbsp;\u00bb, depois um coeficiente multiplicador aplicado ao seu BMR, uma vez, para sempre. Qual caixa marcar quando voc\u00ea \u00e9 ativo de ter\u00e7a a sexta e parado no fim de semana? Nenhuma est\u00e1 correta. Um BMR j\u00e1 falseado, multiplicado por um coeficiente congelado que pretende resumir NEAT, EAT e TEF: eis por que voc\u00ea n\u00e3o tinha nenhuma chance com um app cl\u00e1ssico.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 2 &middot; 7 dias reais, mesma pessoa<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilidade di\u00e1ria do gasto cal\u00f3rico em 7 dias, contra uma meta fixa de 2400 kcal calculada por coeficiente de atividade\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Gasto real<\/strong> em 7 dias medido para um usu\u00e1rio do Lean. A linha cinza \u00e9 o objetivo congelado de um app com coeficiente.<\/p>\n  <\/div>\n\n  <div class=\"keycard neat\">\n    <div class=\"kc-tag\">Pilar 2 &middot; NEAT &middot; o n\u00famero a lembrar<\/div>\n    <div class=\"kc-num\">+&nbsp;1&nbsp;000&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">de diferen\u00e7a entre um domingo no sof\u00e1 vendo Netflix e um dia na Disneyland com 15&nbsp;km de caminhada. Nenhuma caixa \u00ab&nbsp;ativo \/ sedent\u00e1rio&nbsp;\u00bb capta isso.<\/div>\n  <\/div>\n\n  <h3>A segunda armadilha: as calorias mostradas pelos dispositivos conectados<\/h3>\n  <p>Boa not\u00edcia: seu smartphone embarca um excelente ped\u00f4metro, iOS como Android, e sua contagem de passos \u00e9 confi\u00e1vel. Mas <strong>nunca confie nas calorias mostradas por um rel\u00f3gio ou pulseira conectada<\/strong>. O estudo de valida\u00e7\u00e3o de Lee e Welk sobre os sensores de consumo (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>) mede erros de estimativa cal\u00f3rica importantes, alguns modelos se aproximando do dobro do valor real. Um rel\u00f3gio que mostra 500&nbsp;kcal gastas pode muito bem corresponder a 250&nbsp;kcal reais. Guarde o dado bruto e confi\u00e1vel, o n\u00famero de passos; jogue fora o dado derivado e errado, as calorias.<\/p>\n\n  <h3>O m\u00e9todo verdadeiro: seus passos reais, cruzados com seu BMR<\/h3>\n  <p>\u00daltimo ponto de fineza: o NEAT depende do seu metabolismo. Duas pessoas que fazem 10&nbsp;000 passos n\u00e3o gastam a mesma coisa se suas massas magras diferem. O Lean cruza seus passos (HealthKit no iPhone, Google Fit no Android) com seu BMR calculado sobre sua massa magra: seu NEAT \u00e9 recalculado todo dia, sem coeficiente, sem caixa a marcar. Andar \u00e9 a forma mais simples de aumentar seu gasto, e portanto de aprofundar seu d\u00e9ficit sem tocar no seu prato.<\/p>\n<\/section>\n\n<section aria-labelledby=\"eat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Pilar 3 &middot; EAT<\/span><\/div>\n  <h2 id=\"eat\">O EAT: seu esporte gasta menos do que voc\u00ea imagina<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">O que \u00e9 exatamente<\/div>\n      <p>O <strong>EAT<\/strong> (Exercise Activity Thermogenesis) \u00e9 a energia gasta durante suas atividades esportivas: todas as atividades com MET superior a 3. Como o NEAT, ele depende do seu BMR. A f\u00f3rmula de princ\u00edpio: <strong>EAT = MET do esporte &times; BMR &times; tempo efetivo de exerc\u00edcio<\/strong>. O MET de cada esporte est\u00e1 nas tabelas do Compendium, e o pilar <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/eat\/\">EAT<\/a> do site detalha os valores comuns.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-eat.webp\" alt=\"\u00c9cran EAT de Lean : calories de sport par s\u00e9ance, 222 kcal par jour en moyenne\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Tela EAT<strong>Treinos no tempo efetivo<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>A palavra que muda tudo: o tempo \u00ab&nbsp;efetivo&nbsp;\u00bb<\/h3>\n  <p>A grande armadilha do EAT cabe em uma \u00fanica palavra: <strong>efetivo<\/strong>. O tempo a levar em conta \u00e9 o tempo em que voc\u00ea realmente exerce o esfor\u00e7o, n\u00e3o a dura\u00e7\u00e3o total do seu treino. Na muscula\u00e7\u00e3o, os tempos de descanso entre as s\u00e9ries n\u00e3o contam: em um treino de uma hora, voc\u00ea passa talvez 15 a 20 minutos empurrando cargas. No t\u00eanis amador, em uma hora de jogo, o tempo de jogo real fica entre 15 e 25 minutos. Resultado: um treino de muscula\u00e7\u00e3o s\u00e9rio representa <strong>200 a 250&nbsp;kcal<\/strong>, n\u00e3o mais.<\/p>\n\n  <h3>O erro dominante: o rel\u00f3gio que mostra 1&nbsp;050&nbsp;kcal<\/h3>\n  <p>Os rel\u00f3gios conectados acumulam aqui seus dois defeitos: um BMR calculado pelo peso, sem gordura corporal, portanto j\u00e1 superestimado, e a dura\u00e7\u00e3o total do treino contada, aquecimento, descanso e scroll do Instagram inclusos. Resultado absurdo: treinos de muscula\u00e7\u00e3o mostrados a mais de 1&nbsp;000&nbsp;kcal para um gasto real de 200 a 250. Um fator de erro de 4 a 5, coerente com os estudos de valida\u00e7\u00e3o dos sensores de consumo (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>).<\/p>\n\n  <div class=\"watch\" aria-label=\"Calorias exibidas por um rel\u00f3gio inteligente diante do gasto real\">\n    <div class=\"w-it bad\">\n      <div class=\"k\">Rel\u00f3gio conectado &middot; treino de muscula\u00e7\u00e3o 1 h<\/div>\n      <div class=\"big\">1&nbsp;050<\/div>\n      <p>kcal mostradas: BMR pelo peso superestimado &times; dura\u00e7\u00e3o total do treino, descanso incluso.<\/p>\n    <\/div>\n    <div class=\"w-it good\">\n      <div class=\"k\">C\u00e1lculo correto &middot; mesmo treino<\/div>\n      <div class=\"big\">&asymp;&nbsp;220<\/div>\n      <p>kcal reais: MET muscula\u00e7\u00e3o &times; BMR sobre massa magra &times; 15 a 20 min de tempo efetivo.<\/p>\n    <\/div>\n  <\/div>\n  <div class=\"watch-cap\">Um fator de 4 a 5 de diferen\u00e7a em um \u00fanico treino. Levado para uma semana, \u00e9 todo o seu d\u00e9ficit que desaparece.<\/div>\n\n  <p>Fa\u00e7a a conta do que esse erro destr\u00f3i. D\u00e9ficit visado: 100&nbsp;kcal por dia, 700 por semana. Seu rel\u00f3gio conta um treino a 1&nbsp;000&nbsp;kcal em vez de 200: 800&nbsp;kcal de erro, seu d\u00e9ficit semanal inteiro apagado por um \u00fanico treino mal contado. Entre os usu\u00e1rios do Lean, esse erro aparece em quase todos os relatos de estagna\u00e7\u00e3o: anos superestimando o gasto do esporte por causa de um n\u00famero mostrado em um pulso.<\/p>\n\n  <div class=\"keycard eat\">\n    <div class=\"kc-tag\">Pilar 3 &middot; EAT &middot; o n\u00famero a lembrar<\/div>\n    <div class=\"kc-num\">5&nbsp;%<\/div>\n    <div class=\"kc-lbl\">do TDEE: \u00e9 o peso real de 5 treinos de muscula\u00e7\u00e3o por semana (&asymp;&nbsp;130&nbsp;kcal\/dia dilu\u00eddas). Sua caminhada, ela, pode ultrapassar 25&nbsp;% do seu gasto di\u00e1rio.<\/div>\n  <\/div>\n\n  <h3>O verdadeiro lugar do esporte no seu gasto<\/h3>\n  <p>\u00ab&nbsp;Vou detonar na academia e explodir meu gasto&nbsp;\u00bb: as ordens de grandeza dizem o inverso. A academia gasta pouco, e a verdadeira margem de progress\u00e3o est\u00e1 nos passos. No Lean, voc\u00ea seleciona seu esporte na se\u00e7\u00e3o EAT, informa o tempo realmente praticado ou a intensidade, e o app faz o c\u00e1lculo MET &times; BMR &times; tempo efetivo com seu metabolismo real. Sem b\u00f4nus fantasioso, sem treino a 1&nbsp;000&nbsp;kcal.<\/p>\n<\/section>\n\n<section aria-labelledby=\"tef\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Pilar 4 &middot; TEF<\/span><\/div>\n  <h2 id=\"tef\">O TEF: digerir queima calorias, e n\u00e3o a taxa fixa<\/h2>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-tef.webp\" alt=\"\u00c9cran calories de Lean : macros de la semaine et TEF calcul\u00e9e, 245 kcal\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Tela Calorias<strong>TEF deduzido dos macros<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">O que \u00e9 exatamente<\/div>\n      <p>O <strong>TEF<\/strong> (Thermic Effect of Food) \u00e9 o efeito t\u00e9rmico dos alimentos: a energia que seu corpo gasta para digerir, absorver e metabolizar o que voc\u00ea come. Sim, comer faz gastar calorias. \u00c9 a rubrica mais esquecida do TDEE: a maioria dos trackers simplesmente n\u00e3o o calcula, ou o esmaga no famoso coeficiente de atividade. O <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">pilar efeito t\u00e9rmico dos alimentos<\/a> \u00e9 inteiramente dedicado a ele.<\/p>\n    <\/div>\n  <\/div>\n\n  <h3>O erro dominante: a taxa fixa de 10&nbsp;%<\/h3>\n  <p>Quando o TEF \u00e9 levado em conta, \u00e9 quase sempre com uma taxa fixa: \u00ab&nbsp;cerca de 10&nbsp;% das calorias ingeridas&nbsp;\u00bb. Ora, o TEF depende massivamente dos <strong>macronutrientes<\/strong>, como estabeleceu a revis\u00e3o de refer\u00eancia de Westerterp (2004, <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a>) :<\/p>\n\n  <div class=\"tefbars\" aria-label=\"Custo de digest\u00e3o por macronutriente: prote\u00ednas 20 a 30%, carboidratos 5 a 10%, gorduras 1 a 3%\">\n    <div class=\"tb-head\">Custo de digest\u00e3o &middot; em % das calorias ingeridas do macro<\/div>\n    <div class=\"tb p\"><div class=\"lab\">Prote\u00ednas<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">20 a 30&nbsp;%<\/div><\/div>\n    <div class=\"tb g\"><div class=\"lab\">Carboidratos<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">de 5 a 10&nbsp;%<\/div><\/div>\n    <div class=\"tb l\"><div class=\"lab\">Gorduras<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">1 a 3&nbsp;%<\/div><\/div>\n    <div class=\"tb-cap\">Coma 100&nbsp;kcal de prote\u00ednas: de 20 a 30&nbsp;kcal v\u00e3o embora na digest\u00e3o. Coma 100&nbsp;kcal de gorduras: de 1 a 3&nbsp;kcal. A \u00ab&nbsp;taxa fixa de 10&nbsp;%&nbsp;\u00bb n\u00e3o pode capturar isso.<\/div>\n  <\/div>\n\n  <h3>O exemplo em n\u00fameros: 7&nbsp;% reais contra 10&nbsp;% supostos<\/h3>\n  <p>Pegue a distribui\u00e7\u00e3o alimentar m\u00e9dia de um adulto franc\u00eas segundo os dados de sa\u00fade p\u00fablica: cerca de 45&nbsp;% de carboidratos, 42&nbsp;% de gorduras, 13&nbsp;% de prote\u00ednas. Fa\u00e7a o c\u00e1lculo macro por macro: voc\u00ea obt\u00e9m um TEF real mais pr\u00f3ximo de <strong>7&nbsp;% da ingest\u00e3o cal\u00f3rica total do que de 10&nbsp;%<\/strong>.<\/p>\n\n  <div class=\"keycard tef\">\n    <div class=\"kc-tag\">Pilar 4 &middot; TEF &middot; o n\u00famero a lembrar<\/div>\n    <div class=\"kc-num\">100&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">de erro di\u00e1rio entre a \u00ab&nbsp;taxa fixa de 10&nbsp;%&nbsp;\u00bb e o TEF real (&asymp;&nbsp;7&nbsp;%) em uma alimenta\u00e7\u00e3o de 3&nbsp;000&nbsp;kcal. Metade de um d\u00e9ficit leve, perdida todos os dias.<\/div>\n  <\/div>\n\n  <p>O racioc\u00ednio tamb\u00e9m funciona a seu favor: aumente sua parte de prote\u00ednas e seu TEF aumenta mecanicamente. \u00c9 uma das raz\u00f5es (com a prote\u00e7\u00e3o do m\u00fasculo) pelas quais \u00ab&nbsp;coma mais prote\u00ednas em cutting&nbsp;\u00bb \u00e9 um dos raros conselhos universalmente bons.<\/p>\n\n  <h3>O m\u00e9todo verdadeiro: calcular o TEF sobre seus macros reais<\/h3>\n  <p>A \u00fanica forma limpa de calcular o TEF \u00e9 deduzi-lo dos macros realmente comidos no dia. \u00c9 o que faz o Lean: cada alimento registrado alimenta o c\u00e1lculo, e seu TEF exato se soma ao seu gasto ao longo das refei\u00e7\u00f5es. Se voc\u00ea registra suas refei\u00e7\u00f5es, seu TEF j\u00e1 est\u00e1 calculado, sem trabalho adicional.<\/p>\n<\/section>\n\n<section aria-labelledby=\"adaptation\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; 5.\u00ba tijolo &middot; Adapta\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"adaptation\">A adapta\u00e7\u00e3o metab\u00f3lica: o chef\u00e3o final<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">O que \u00e9 exatamente<\/div>\n      <p>Voc\u00ea sabe somar suas 4 rubricas. Resta uma etapa, a mais fina e talvez a mais importante do guia. Em d\u00e9ficit cal\u00f3rico, seu corpo entende que recebe menos energia e, em uma l\u00f3gica de sobreviv\u00eancia, ele <strong>adapta seu metabolismo<\/strong> : economiza em tudo, continuando perfeitamente funcional. Como o modo de economia de energia do seu iPhone: voc\u00ea quase n\u00e3o v\u00ea a diferen\u00e7a no uso, mas o consumo cai.<\/p>\n      <p>Ponto capital: a adapta\u00e7\u00e3o metab\u00f3lica <strong>n\u00e3o se soma<\/strong> \u00e0s 4 rubricas. \u00c9 um coeficiente que vem <strong>modular seu BMR<\/strong> para baixo. E como seu NEAT e seu EAT dependem eles mesmos do BMR, \u00e9 quase todo o seu TDEE que \u00e9 puxado para baixo. O Lean o mostra segundo uma conven\u00e7\u00e3o clara: uma pontua\u00e7\u00e3o que parte de <strong>100&nbsp;% (metabolismo ideal, nenhuma adapta\u00e7\u00e3o)<\/strong> e desce ao longo do d\u00e9ficit. Uma pontua\u00e7\u00e3o de 90&nbsp;% significa que seu metabolismo roda a 90&nbsp;% do seu n\u00edvel ideal.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-depense.webp\" alt=\"\u00c9cran D\u00e9pense de Lean : les 4 postes du TDEE et le score d'adaptation m\u00e9tabolique \u00e0 96 %\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Tela Gasto<strong>Pontua\u00e7\u00e3o de adapta\u00e7\u00e3o 96&nbsp;%<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>O que dizem os estudos: de 5 a 25&nbsp;% segundo o d\u00e9ficit<\/h3>\n  <p>O fen\u00f4meno est\u00e1 solidamente documentado: Doucet 2001 mediu uma termog\u00eanese adaptativa real durante a perda de peso (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/a>), M\u00fcller e Bosy-Westphal quantificaram a adapta\u00e7\u00e3o revisitando os dados hist\u00f3ricos de Minnesota (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>), e Hall modelou o d\u00e9ficit realmente necess\u00e1rio por unidade de peso perdido (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>). As ordens de grandeza a lembrar, ap\u00f3s 2 a 8 semanas de d\u00e9ficit:<\/p>\n  <ul>\n    <li>D\u00e9ficit de cerca de <strong>&minus;250&nbsp;kcal\/dia<\/strong> : adapta\u00e7\u00e3o de 5 a 10&nbsp;%, sua pontua\u00e7\u00e3o desce para 90 a 95&nbsp;%.<\/li>\n    <li>D\u00e9ficit de cerca de <strong>&minus;500&nbsp;kcal\/dia<\/strong> : adapta\u00e7\u00e3o de 10 a 15&nbsp;%, pontua\u00e7\u00e3o para 85 a 90&nbsp;%.<\/li>\n    <li>D\u00e9ficit de cerca de <strong>&minus;750&nbsp;kcal\/dia<\/strong> : adapta\u00e7\u00e3o de 15 a 25&nbsp;%, pontua\u00e7\u00e3o para 75 a 85&nbsp;%.<\/li>\n  <\/ul>\n  <p>Fa\u00e7a a rela\u00e7\u00e3o com seu pr\u00f3prio plano: d\u00e9ficit previsto de 10&nbsp;%, adapta\u00e7\u00e3o de 10&nbsp;%, d\u00e9ficit real nulo. Voc\u00ea est\u00e1 na manuten\u00e7\u00e3o, com a sensa\u00e7\u00e3o de fazer todos os esfor\u00e7os do mundo. N\u00e3o importa a qualidade do seu c\u00e1lculo inicial: seu TDEE real escorregou abaixo do seu TDEE calculado, semana ap\u00f3s semana, em sil\u00eancio.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 3 &middot; 8 semanas de d\u00e9ficit a &minus;500 kcal\/dia<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE real que cai de 2500 para 2150 kcal em 8 semanas de d\u00e9ficit, enquanto o TDEE calculado fica travado em 2500\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>TDEE real contra TDEE calculado.<\/strong> Sem acompanhamento da adapta\u00e7\u00e3o, seu d\u00e9ficit derrete semana ap\u00f3s semana sem que voc\u00ea veja.<\/p>\n  <\/div>\n\n  <div class=\"keycard adapt\">\n    <div class=\"kc-tag\">5.\u00ba tijolo &middot; Adapta\u00e7\u00e3o &middot; o n\u00famero a lembrar<\/div>\n    <div class=\"kc-num\">95&nbsp;%<\/div>\n    <div class=\"kc-lbl\">das pessoas nunca levam a adapta\u00e7\u00e3o metab\u00f3lica em conta. \u00c9 a explica\u00e7\u00e3o n\u00famero 1 dos plat\u00f4s \u00ab&nbsp;incompreens\u00edveis&nbsp;\u00bb ap\u00f3s 4 a 8 semanas de dieta s\u00e9ria.<\/div>\n  <\/div>\n\n  <h3>Como gerenci\u00e1-la: plat\u00f4s volunt\u00e1rios e retorno a 100&nbsp;%<\/h3>\n  <p>A perda de peso bem-sucedida n\u00e3o \u00e9 uma curva sempre decrescente. A boa pr\u00e1tica: alternar d\u00e9ficit e <strong>plat\u00f4s volunt\u00e1rios na manuten\u00e7\u00e3o<\/strong> que reiniciam seu metabolismo. Quando sua pontua\u00e7\u00e3o de adapta\u00e7\u00e3o atinge a zona de 85 a 90&nbsp;%, volte \u00e0 manuten\u00e7\u00e3o por algumas semanas: seu BMR sobe, sua pontua\u00e7\u00e3o volta para perto de 100&nbsp;%, e voc\u00ea recome\u00e7a uma fase de perda eficaz. Em d\u00e9ficit cont\u00ednuo, a adapta\u00e7\u00e3o cresce at\u00e9 se tornar bloqueante: voc\u00ea quase n\u00e3o perde mais, comendo muito pouco. \u00c9 a espiral cl\u00e1ssica das dietas duras demais.<\/p>\n  <p>O problema pr\u00e1tico: nenhum tracker cl\u00e1ssico te diz onde voc\u00ea est\u00e1. O Lean \u00e9 o <strong>primeiro app do mundo a calcular a adapta\u00e7\u00e3o metab\u00f3lica automaticamente<\/strong> : ele estima sua adapta\u00e7\u00e3o ao longo das suas semanas de d\u00e9ficit, modula seu BMR, e mostra sua pontua\u00e7\u00e3o em porcentagem. Seu objetivo cal\u00f3rico \u00e9 ajustado ao seu TDEE real, n\u00e3o ao seu TDEE te\u00f3rico inicial. Para a amplitude do d\u00e9ficit, a <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\">calculadora de d\u00e9ficit cal\u00f3rico<\/a> te ajuda a partir de bases saud\u00e1veis: franco nas primeiras semanas quando a motiva\u00e7\u00e3o est\u00e1 alta, depois decrescente.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\">Sua adapta\u00e7\u00e3o metab\u00f3lica calculada automaticamente, seu objetivo ajustado ao seu TDEE real. Teste gratuito de 7 dias.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; As entradas<\/span><\/div>\n  <h2 id=\"tracking\">E agora, as calorias que voc\u00ea come<\/h2>\n  <p>Seu gasto est\u00e1 calculado, resta o outro prato da balan\u00e7a: as entradas. Este guia quase n\u00e3o falou de comida at\u00e9 aqui, e \u00e9 de prop\u00f3sito: voc\u00ea n\u00e3o pode pilotar um d\u00e9ficit cujo ponto de partida n\u00e3o conhece. Agora que seu gasto est\u00e1 s\u00f3lido, registrar suas calorias fica simples. Tr\u00eas m\u00e9todos cobrem todos os casos de uso:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es alimentaire USDA et OpenFoodFacts de Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 1<strong>Base de dados<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres d'un produit dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 2<strong>C\u00f3digo de barras<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 3<strong>Scan de foto por IA<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <p><strong>A base de dados<\/strong> (USDA + OpenFoodFacts no Lean) para os alimentos crus que voc\u00ea pesa. <strong>O scan de c\u00f3digo de barras<\/strong> para os produtos do supermercado. E <strong>o scan de foto por IA<\/strong> para todo o resto: a IA identifica os alimentos do seu prato e calcula calorias e macros por alimento. No restaurante, na casa de amigos, de f\u00e9rias: uma foto, est\u00e1 resolvido. Menos preciso do que uma pesagem na grama, mas um m\u00e9todo que se mant\u00e9m 12 meses sempre bate um m\u00e9todo perfeito abandonado ap\u00f3s 3 semanas. O guia dos <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\">melhores aplicativos de calorias<\/a> compara as abordagens do mercado.<\/p>\n  <p>B\u00f4nus que muda o dia a dia: no Lean, seu gasto se atualiza <strong>ao vivo ao longo do dia<\/strong>. Quanto mais voc\u00ea anda, mais seu TDEE do dia sobe, e seu balan\u00e7o cal\u00f3rico se atualiza em tempo real. Voc\u00ea sabe a cada instante onde est\u00e1 no seu d\u00e9ficit.<\/p>\n\n  <h3>Uma palavra sobre os macros, guardada de prop\u00f3sito para o fim<\/h3>\n  <p>Uma vez seu d\u00e9ficit garantido, o \u00fanico ajuste de macros realmente importante \u00e9 simples: <strong>aumente suas prote\u00ednas<\/strong>. Cerca de 2,2&nbsp;g por kg de massa magra em prote\u00ednas, cerca de 1&nbsp;g por kg de massa magra em gorduras, o resto em carboidratos. As prote\u00ednas protegem seu m\u00fasculo em d\u00e9ficit e inflam seu TEF, voc\u00ea viu no pilar 4. O resto (distribui\u00e7\u00e3o fina, low carb ou n\u00e3o, jejum ou n\u00e3o) \u00e9 quest\u00e3o de prefer\u00eancia pessoal: escolha o que voc\u00ea consegue manter.<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Pir\u00e2mide de Progress\u00e3o Lean\">\n    <div class=\"level l1\"><span>Ader\u00eancia<\/span><span class=\"k\">Base<\/span><\/div>\n    <div class=\"level l2\"><span>Objetivo cal\u00f3rico<\/span><span class=\"k\">N\u00edvel 2<\/span><\/div>\n    <div class=\"level l3\"><span>Passos \/ NEAT<\/span><span class=\"k\">N\u00edvel 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutrientes<\/span><span class=\"k\">Topo<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">A Pir\u00e2mide de Progress\u00e3o, tal como mostrada no Lean: cada andar s\u00f3 faz sentido se o de baixo est\u00e1 s\u00f3lido.<\/div>\n<\/section>\n\n<section aria-labelledby=\"checklist\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Checklist<\/span><\/div>\n  <h2 id=\"checklist\">A checklist para calcular seu gasto real<\/h2>\n  <p>O guia inteiro, condensado em 8 pontos acion\u00e1veis. Se voc\u00ea marca os 8, sabe exatamente se est\u00e1 em d\u00e9ficit, em manuten\u00e7\u00e3o ou em super\u00e1vit, e de quanto.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Abandone as f\u00f3rmulas pelo peso<\/div><p class=\"fd\">Harris-Benedict 1919 e as f\u00f3rmulas de popula\u00e7\u00e3o superestimam seu BMR. Seu metabolismo segue sua massa magra: peso &times; (1 &minus; gordura corporal).<\/p><\/div><div class=\"fc\">BMR<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Me\u00e7a sua gordura corporal toda semana<\/div><p class=\"fd\">Adip\u00f4metro e balan\u00e7a de bioimped\u00e2ncia: imprecisos demais. DEXA: inacess\u00edvel como rotina. BodyScan IA: uma foto, 5 segundos, toda semana.<\/p><\/div><div class=\"fc\">Gordura corporal<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Pese-se com frequ\u00eancia, nas mesmas condi\u00e7\u00f5es<\/div><p class=\"fd\">De manh\u00e3, em jejum. \u00c9 a tend\u00eancia ao longo de v\u00e1rias semanas que conta, nunca o n\u00famero de um dia isolado.<\/p><\/div><div class=\"fc\">Acompanhamento<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Deduza seu NEAT dos seus passos reais<\/div><p class=\"fd\">O ped\u00f4metro do seu smartphone \u00e9 confi\u00e1vel, as calorias do seu rel\u00f3gio n\u00e3o. NEAT = passos reais cruzados com seu BMR real, todo dia.<\/p><\/div><div class=\"fc\">NEAT<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Calcule seu EAT no tempo efetivo<\/div><p class=\"fd\">MET do esporte &times; BMR &times; tempo realmente exercido. Uma muscula\u00e7\u00e3o de uma hora s\u00e3o 200 a 250 kcal. Nunca 1 000.<\/p><\/div><div class=\"fc\">EAT<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">Calcule seu TEF sobre seus macros<\/div><p class=\"fd\">Prote\u00ednas 20 a 30 %, carboidratos 5 a 10 %, gorduras 1 a 3 %. Sem taxa fixa de 10 %. Com 3 000 kcal\/dia, a diferen\u00e7a se aproxima de 100 kcal.<\/p><\/div><div class=\"fc\">TEF<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">07<\/div><div><div class=\"ft\">Vigie sua adapta\u00e7\u00e3o metab\u00f3lica<\/div><p class=\"fd\">Pontua\u00e7\u00e3o de 100 % (ideal) que desce em d\u00e9ficit. Perto de 85-90 %, volte \u00e0 manuten\u00e7\u00e3o para reiniciar seu metabolismo, depois recomece.<\/p><\/div><div class=\"fc\">Adapta\u00e7\u00e3o<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">08<\/div><div><div class=\"ft\">Fixe seu d\u00e9ficit sobre seu TDEE real<\/div><p class=\"fd\">D\u00e9ficit franco no in\u00edcio se quiser, depois decrescente. E registre suas refei\u00e7\u00f5es com o m\u00e9todo que voc\u00ea consegue manter 12 meses: base, c\u00f3digo de barras ou foto.<\/p><\/div><div class=\"fc\">D\u00e9ficit<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Fazer tudo \u00e0 m\u00e3o, com planilha e tabelas MET, ou deixar o Lean rodar os 5 c\u00e1lculos em segundo plano. Entre os usu\u00e1rios que v\u00eam das planilhas Excel, a constata\u00e7\u00e3o \u00e9 un\u00e2nime: a precis\u00e3o \u00e9 a mesma, a ader\u00eancia n\u00e3o tem nada a ver.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Perguntas frequentes<\/h2>\n  <div class=\"faq\">\n    <details><summary>Como calcular seu gasto cal\u00f3rico di\u00e1rio?<\/summary><div class=\"ans\">Somando as 4 rubricas de gasto: TDEE = BMR + NEAT + EAT + TEF. O BMR se calcula sobre sua massa magra (portanto sua gordura corporal real), o NEAT sobre seus passos reais, o EAT sobre seus treinos no tempo efetivo, o TEF sobre os macros que voc\u00ea come. O 5.\u00ba tijolo, a adapta\u00e7\u00e3o metab\u00f3lica, modula seu BMR para baixo em d\u00e9ficit prolongado: ela n\u00e3o se soma, ela multiplica.<\/div><\/details>\n    <details><summary>Qual \u00e9 a diferen\u00e7a entre BMR e TDEE?<\/summary><div class=\"ans\">O BMR (metabolismo basal) \u00e9 a energia que seu corpo queima em repouso completo, deitado 24 horas: \u00f3rg\u00e3os, c\u00e9rebro, circula\u00e7\u00e3o. O TDEE \u00e9 seu gasto total di\u00e1rio: o BMR, mais seus passos e atividades cotidianas (NEAT), mais seu esporte (EAT), mais a digest\u00e3o (TEF). O BMR \u00e9 a maior rubrica, mas \u00e9 apenas uma parte do TDEE.<\/div><\/details>\n    <details><summary>Por que n\u00e3o perco peso mesmo estando em d\u00e9ficit cal\u00f3rico?<\/summary><div class=\"ans\">Na imensa maioria dos casos, porque voc\u00ea n\u00e3o est\u00e1 realmente em d\u00e9ficit: seu TDEE foi superestimado (f\u00f3rmula pelo peso sem gordura corporal, coeficiente de atividade congelado, rel\u00f3gio que infla as calorias do esporte) ou seu TDEE real caiu por causa da adapta\u00e7\u00e3o metab\u00f3lica. Se voc\u00ea acha que gasta 2&nbsp;500&nbsp;kcal mas gasta 2&nbsp;200, um d\u00e9ficit te\u00f3rico de 250&nbsp;kcal n\u00e3o existe.<\/div><\/details>\n    <details><summary>Os rel\u00f3gios conectados s\u00e3o confi\u00e1veis para as calorias queimadas?<\/summary><div class=\"ans\">N\u00e3o para as calorias, sim para os passos. Os estudos sobre os sensores de consumo medem erros que podem se aproximar do dobro do gasto real nas calorias, porque eles partem de um BMR calculado pelo peso e contam o tempo total de treino. O n\u00famero de passos, por sua vez, \u00e9 um dado bruto muito preciso nos smartphones e rel\u00f3gios atuais: use-o, e deixe o c\u00e1lculo cal\u00f3rico para uma ferramenta que conhece sua gordura corporal.<\/div><\/details>\n    <details><summary>Quantas calorias um treino de muscula\u00e7\u00e3o queima de verdade?<\/summary><div class=\"ans\">Em torno de 200 a 250&nbsp;kcal para um treino cl\u00e1ssico, porque s\u00f3 o tempo efetivo sob as barras conta, n\u00e3o os tempos de descanso entre as s\u00e9ries. Um rel\u00f3gio que mostra 1&nbsp;000&nbsp;kcal para esse mesmo treino erra por um fator de 4 a 5: ele conta a hora inteira em vez dos 15 a 20 minutos de esfor\u00e7o real, sobre um BMR j\u00e1 superestimado.<\/div><\/details>\n    <details><summary>A caminhada conta como esporte no c\u00e1lculo?<\/summary><div class=\"ans\">A fronteira cient\u00edfica entre n\u00e3o exerc\u00edcio (NEAT) e exerc\u00edcio (EAT) \u00e9 um MET de 3, e a caminhada est\u00e1 bem em cima dela. Na pr\u00e1tica: abaixo de 5&nbsp;km\/h, sua caminhada pertence ao NEAT; acima, ao EAT. Como quase sempre andamos abaixo de 5&nbsp;km\/h no dia a dia, a aproxima\u00e7\u00e3o NEAT = gasto ligado aos passos \u00e9 excelente, e tanto mais verdadeira quanto mais voc\u00ea anda.<\/div><\/details>\n    <details><summary>O que \u00e9 a adapta\u00e7\u00e3o metab\u00f3lica e como gerenci\u00e1-la?<\/summary><div class=\"ans\">Em d\u00e9ficit prolongado, seu corpo entra em modo de economia de energia e reduz seu metabolismo: \u00e9 a adapta\u00e7\u00e3o metab\u00f3lica, medida entre 5 e 25&nbsp;% segundo a amplitude e a dura\u00e7\u00e3o do d\u00e9ficit. O Lean a mostra como uma pontua\u00e7\u00e3o que parte de 100&nbsp;% (ideal) e desce. Quando voc\u00ea atinge a zona de 85-90&nbsp;%, volte \u00e0 manuten\u00e7\u00e3o por algumas semanas para reiniciar seu metabolismo, depois volte ao d\u00e9ficit.<\/div><\/details>\n    <details><summary>Como conhecer sua gordura corporal sem DEXA scan?<\/summary><div class=\"ans\">O DEXA continua sendo a refer\u00eancia mas \u00e9 caro e pouco acess\u00edvel como rotina. O adip\u00f4metro e a balan\u00e7a de bioimped\u00e2ncia s\u00e3o imprecisos demais para pilotar um c\u00e1lculo de BMR. O m\u00e9todo mais pratic\u00e1vel hoje: um BodyScan por IA, treinado em bancos de scans DEXA. Voc\u00ea tira uma foto, obt\u00e9m sua gordura corporal estimada em alguns segundos, e pode refazer toda semana.<\/div><\/details>\n    <details><summary>Meu TDEE muda de um dia para outro?<\/summary><div class=\"ans\">Sim, e \u00e0s vezes em mais de 1&nbsp;000&nbsp;kcal. Seu BMR \u00e9 est\u00e1vel no curto prazo, mas seu NEAT depende dos seus passos do dia, seu EAT dos seus treinos, e seu TEF do que voc\u00ea come. Um domingo no sof\u00e1 e um s\u00e1bado de passeio a p\u00e9 n\u00e3o t\u00eam o mesmo gasto. \u00c9 por isso que um objetivo cal\u00f3rico congelado calculado uma vez no cadastro n\u00e3o pode pilotar um d\u00e9ficit preciso.<\/div><\/details>\n    <details><summary>O Lean \u00e9 gratuito ou pago?<\/summary><div class=\"ans\">O Lean \u00e9 Premium, com um teste gratuito de 7 dias na assinatura anual. Download gratuito na App Store e no Google Play: voc\u00ea testa o BodyScan IA, o TDEE decomposto ao vivo e o scan de foto de refei\u00e7\u00f5es, depois decide.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; Conclus\u00e3o<\/span><\/div>\n  <h2 id=\"conclu\">Agora voc\u00ea tem todas as armas<\/h2>\n  <p>Todas as dietas da moda s\u00e3o apenas t\u00e1ticas a servi\u00e7o de uma \u00fanica teoria: o balan\u00e7o energ\u00e9tico. Ela s\u00f3 funciona se voc\u00ea conhece seu gasto, e seu gasto n\u00e3o se adivinha: ele se calcula.<\/p>\n\n  <div class=\"eqcard\" aria-label=\"A equa\u00e7\u00e3o do TDEE: BMR mais NEAT mais EAT mais TEF, com a adapta\u00e7\u00e3o metab\u00f3lica \u00e0 parte que modula o BMR\">\n    <div class=\"eq-line\"><span class=\"eq-p k-tdee\">TDEE<\/span> = <span class=\"eq-p k-bmr\">BMR<\/span> + <span class=\"eq-p k-neat\">NEAT<\/span> + <span class=\"eq-p k-eat\">EAT<\/span> + <span class=\"eq-p k-tef\">TEF<\/span><\/div>\n    <div class=\"eq-note\"><span class=\"eq-p\">Adapta\u00e7\u00e3o metab\u00f3lica<\/span> \u00e0 parte: ela modula o BMR (pontua\u00e7\u00e3o 100&nbsp;% ideal, que desce em d\u00e9ficit), nunca dentro da soma.<\/div>\n  <\/div>\n\n  <p>Cada erro deste guia, milh\u00f5es de pessoas o cometem neste exato momento: a f\u00f3rmula de 1919, a caixa \u00ab&nbsp;ativo&nbsp;\u00bb marcada seis meses atr\u00e1s, o treino de muscula\u00e7\u00e3o contado a 1&nbsp;000&nbsp;kcal, o TEF ignorado, a adapta\u00e7\u00e3o nunca acompanhada. Nenhum se v\u00ea, todos se pagam em semanas de estagna\u00e7\u00e3o. Agora, voc\u00ea sabe evit\u00e1-los: \u00e0 m\u00e3o se gosta de planilhas, ou com o Lean, que roda os 5 c\u00e1lculos continuamente enquanto voc\u00ea vive, anda e fotografa suas refei\u00e7\u00f5es.<\/p>\n  <p>O objetivo \u00e9 o mesmo para todo mundo: ficar seco, e continuar assim, sem sacrificar sua vida social nem sua sa\u00fade mental. A teoria est\u00e1 a\u00ed, as ferramentas tamb\u00e9m. O resto \u00e9 ader\u00eancia.<\/p>\n  <p><strong>A equipe Lean<\/strong><\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>A Lean pode ser baixada gratuitamente<\/h3>\n  <p>iOS e Android. BMR sobre gordura corporal real, NEAT sobre passos reais, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica. O \u00fanico app que calcula os 5.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar o Lean na App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar o Lean no Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Para ir al\u00e9m<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Links internos<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE gratuita online<\/a> &middot; seu TDEE estimado em 30 segundos, mesma l\u00f3gica do app.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\">, licen\u00e7a ODbL.<\/a> &middot; seu BMR sobre sua massa magra.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\">Calculadora de d\u00e9ficit cal\u00f3rico<\/a> &middot; escolher a amplitude do seu d\u00e9ficit sem se queimar.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">O gasto energ\u00e9tico total (TDEE) em detalhe<\/a> &middot; o pilar cient\u00edfico completo.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\">O metabolismo basal (BMR)<\/a> &middot; a primeira rubrica do seu gasto.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">O NEAT, gasto n\u00e3o esportivo<\/a> &middot; por que seus passos pesam mais do que sua academia.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/eat\/\">O EAT, gasto ligado ao esporte<\/a> &middot; MET, tempo efetivo e valores reais por treino.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">O efeito t\u00e9rmico dos alimentos (TEF)<\/a> &middot; a digest\u00e3o, rubrica esquecida do TDEE.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/\">Lean diante do MyFitnessPal<\/a> &middot; o que muda um TDEE recalculado continuamente.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\">Melhores aplicativos de calorias 2026<\/a> &middot; o comparativo completo do mercado.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Fontes<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografia<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington. A equa\u00e7\u00e3o hist\u00f3rica pelo peso, desmontada neste guia.<\/li>\n    <li>Mifflin M.D., St Jeor S.T. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Frankenfield D.C. (2013). Bias and accuracy of resting metabolic rate equations in non-obese and obese adults. Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>Levine J.A. (2002). Non-exercise activity thermogenesis (NEAT). Best Practice &amp; Research Clinical Endocrinology &amp; Metabolism. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a>.<\/li>\n    <li>Levine J.A. et al. (2005). Interindividual variation in posture allocation: possible role in human obesity. Science. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15640470\/\" target=\"_blank\" rel=\"noopener\">PubMed 15640470<\/a>.<\/li>\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. Medicine &amp; Science in Sports &amp; Exercise. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/li>\n    <li>Lee J.M., Kim Y., Welk G.J. (2014). Validity of consumer-based physical activity monitors. Medicine &amp; Science in Sports &amp; Exercise. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition &amp; Metabolism. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a>.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/a>.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2015). Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n    <li>Hall K.D. (2008). What is the required energy deficit per unit weight loss? International Journal of Obesity. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Guia publicado em 16 de agosto de 2026 pela equipe Lean. Atualizado regularmente com o feedback dos usu\u00e1rios e os novos estudos relevantes. O Lean est\u00e1 dispon\u00edvel para iOS e Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var subMap = {BMR:1, NEAT:1, EAT:1, TEF:1};\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    if(!subMap[sub]) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n\n(function chartInit(){\n  if (typeof Chart === 'undefined' || !window['chartjs-plugin-annotation']) { return setTimeout(chartInit, 60); }\n  var PINK = '#FF2D6E';\n  var LEAN_LANG = (((document.documentElement && document.documentElement.lang)||'').toLowerCase().indexOf('en')===0 || location.pathname.indexOf('\/en\/')===0) ? 'en' : 'fr';\n  function T(fr,en){return LEAN_LANG==='en'?en:fr;}\n\n  var FIX  = '#8A8578';\n  var INK  = '#0E0E10';\n  var MUTE = '#6E6E73';\n  var RULE = '#E8E6DF';\n\n  Chart.defaults.font.family = '-apple-system, \"SF Pro Text\", system-ui, sans-serif';\n  Chart.defaults.color = MUTE;\n\n  \/\/ Plugin custom : trait pointille noir reliant le sommet de la barre 1919 (2500) au sommet de la barre masse maigre (2000)\n  var bmrDeltaLine = {\n    id: 'bmrDeltaLine',\n    afterDatasetsDraw: function(chart){\n      var meta = chart.getDatasetMeta(0);\n      if (!meta || !meta.data || meta.data.length < 2) return;\n      var b1 = meta.data[0], b2 = meta.data[1];\n      if (!b1 || !b2) return;\n      var ctx = chart.ctx;\n      var x1 = b1.x, y1 = b1.y;\n      var x2 = b2.x, y2 = b2.y;\n      ctx.save();\n      ctx.strokeStyle = INK;\n      ctx.lineWidth = 1.5;\n      ctx.setLineDash([6,4]);\n      ctx.beginPath();\n      ctx.moveTo(x1, y1);\n      ctx.lineTo(x2, y1);\n      ctx.moveTo(x2, y1);\n      ctx.lineTo(x2, y2);\n      ctx.stroke();\n      ctx.restore();\n    }\n  };\n\n  function eagerInit(id, fn){\n    var el = document.getElementById(id);\n    if (el) { try { fn(); } catch(e){} }\n  }\n  eagerInit('chartBMR', function(){ buildBMR(); });\n  eagerInit('chartNEAT', function(){ buildNEAT(); });\n  eagerInit('chartAdapt', function(){ buildAdapt(); });\n\n  function fmt(n){return LEAN_LANG==='en'?n.toLocaleString('en-US'):n.toLocaleString('fr-FR').replace(',',' ');}\n\n  function buildBMR(){\n    var ctx = document.getElementById('chartBMR').getContext('2d');\n    new Chart(ctx, {\n      type: 'bar',\n      data: {\n        labels: T(['FORMULE AU POIDS\\n1919', 'MASSE MAIGRE\\nBodyfat r\u00e9el'],['WEIGHT-BASED FORMULA\\n1919', 'LEAN MASS\\nActual bodyfat']),\n        datasets: [{\n          data: [2500, 2000],\n          backgroundColor: [FIX, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:56, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblOLD:{type:'label',xValue:0,yValue:2670,content:T(['2 500'],['2,500']),font:{family:'-apple-system',size:24,weight:'700'},color:INK},\n              lblNEW:{type:'label',xValue:1,yValue:2170,content:T(['2 000'],['2,000']),font:{family:'-apple-system',size:24,weight:'700'},color:PINK},\n              delta:{type:'label',xValue:0.5,yValue:2750,content:['\u2212500 kcal'],font:{family:'-apple-system',size:12,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:14,padding:{x:11,y:5}}\n            }\n          }\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE,callback:function(v,i){return this.getLabelForValue(v).split('\\n');}},border:{display:false}},\n          y:{beginAtZero:true,max:2900,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:1000,callback:function(v){return v===0?'0':fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildNEAT(){\n    var ctx = document.getElementById('chartNEAT').getContext('2d');\n    var labels = T(['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'],['Mon','Tue','Wed','Thu','Fri','Sat','Sun']);\n    var real   = [2100, 2350, 2080, 2950, 2200, 3200, 1800];\n    new Chart(ctx, {\n      type: 'line',\n      data: {\n        labels: labels,\n        datasets: [\n          {label:T('D\u00e9pense r\u00e9elle jour par jour','Actual day-by-day expenditure'),data:real,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.08)',borderWidth:2.5,pointRadius:5,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n          {label:T('App \u00e0 coefficient fig\u00e9','App with a fixed coefficient'),data:[2400,2400,2400,2400,2400,2400,2400],borderColor:FIX,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1000, easing:'easeOutQuart'},\n        layout:{padding:{top:80, bottom:34, left:32, right:64}},\n        plugins:{\n          legend:{display:true, position:'top', align:'start', labels:{boxWidth:14, boxHeight:2, color:MUTE, font:{size:12}, padding:14, usePointStyle:false}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            peakSam:{type:'label',xValue:5,yValue:3450,content:['Disneyland 15 km','+800 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:-26},\n            peakJeu:{type:'label',xValue:3,yValue:3300,content:T(['Footing + bureau debout'],['Jog + standing desk']),font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:10,padding:{x:9,y:5},xAdjust:0,yAdjust:22\/*puOV*\/},\n            dipDim:{type:'label',xValue:6,yValue:1620,content:T(['Canap\u00e9 Netflix','\u2212600 kcal'],['Netflix couch','\u2212600 kcal']),font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:'#5a5a5e',borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:-46},\n            fixTag:{type:'label',xValue:0.55,yValue:2510,content:T(['Coefficient fig\u00e9 : 2 400'],['Fixed coefficient: 2,400']),font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:FIX,borderRadius:10,padding:{x:9,y:4},xAdjust:function(c){return c.chart.width>=540?0:34;}}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1400,max:3800,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:500,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildAdapt(){\n    var ctx = document.getElementById('chartAdapt').getContext('2d');\n    var labels = T(['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'],['W.1','W.2','W.3','W.4','W.5','W.6','W.7','W.8']);\n    var lean = [2500, 2470, 2420, 2350, 2280, 2230, 2180, 2150];\n    var calc = [2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:T('TDEE r\u00e9el \u00b7 adaptation suivie','Actual TDEE \u00b7 adaptation tracked'),data:lean,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.10)',borderWidth:2.5,pointRadius:4,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n        {label:T('TDEE calcul\u00e9 une fois \u00b7 fig\u00e9','TDEE calculated once \u00b7 frozen'),data:calc,borderColor:FIX,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1100, easing:'easeOutQuart'},\n        layout:{padding:{top:72, bottom:28, left:64, right:64}},\n        plugins:{\n          legend:{display:true,position:'top',align:'start',labels:{boxWidth:14,boxHeight:2,color:MUTE,font:{size:12},padding:14}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            adaptTag:{type:'label',xValue:3.2,yValue:2115,content:T(['Score adaptation : 86 %','Tu arr\u00eates de perdre'],['Adaptation score: 86%','You stop losing']),font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center'},\n            calcStill:{type:'label',xValue:3.6,yValue:2615,content:T(['TDEE calcul\u00e9 : 2 500 fig\u00e9'],['Calculated TDEE: 2,500 frozen']),font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:FIX,borderRadius:10,padding:{x:9,y:4}},\n            start:{type:'label',xValue:0,yValue:2560,content:T(['2 500'],['2,500']),font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:24,display:function(c){return c.chart.width>=540;},xAdjust:24,yAdjust:15\/*puOV*\/},\n            end:{type:'label',xValue:6.7,yValue:2250,content:T(['2 150'],['2,150']),font:{family:'-apple-system',size:14,weight:'700'},color:PINK,xAdjust:function(c){return c.chart.width>=540?0:-18;}}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:2000,max:2700,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:200,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n})();\n<\/script><\/div>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Comment calculer sa d\u00e9pense calorique journali\u00e8re ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"En additionnant les 4 postes de d\u00e9pense : TDEE = BMR + NEAT + EAT + TEF. Le BMR se calcule sur ta masse maigre (donc ton bodyfat r\u00e9el), la NEAT sur tes pas r\u00e9els, la EAT sur tes s\u00e9ances de sport au temps effectif, la TEF sur les macros que tu manges. La 5\u00e8me brique, l'adaptation m\u00e9tabolique, module ton BMR \u00e0 la baisse en d\u00e9ficit prolong\u00e9 : elle ne s'additionne pas, elle multiplie.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Quelle est la diff\u00e9rence entre BMR et TDEE ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Le BMR (m\u00e9tabolisme de base) est l'\u00e9nergie que ton corps br\u00fble au repos complet, allong\u00e9 24 heures : organes, cerveau, circulation. Le TDEE est ta d\u00e9pense totale journali\u00e8re : le BMR, plus tes pas et activit\u00e9s quotidiennes (NEAT), plus ton sport (EAT), plus la digestion (TEF). Le BMR est le plus gros poste, mais il n'est qu'une partie du TDEE.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Pourquoi je ne perds pas de poids alors que je suis en d\u00e9ficit calorique ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Dans l'immense majorit\u00e9 des cas, parce que tu n'es pas r\u00e9ellement en d\u00e9ficit : ton TDEE a \u00e9t\u00e9 surestim\u00e9 (formule au poids sans bodyfat, coefficient d'activit\u00e9 fig\u00e9, montre qui gonfle les calories de sport) ou ton TDEE r\u00e9el a baiss\u00e9 \u00e0 cause de l'adaptation m\u00e9tabolique. Si tu crois d\u00e9penser 2 500 kcal mais que tu en d\u00e9penses 2 200, un d\u00e9ficit th\u00e9orique de 250 kcal n'existe pas.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Les montres connect\u00e9es sont-elles fiables pour les calories br\u00fbl\u00e9es ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Non pour les calories, oui pour les pas. Les \u00e9tudes sur les capteurs grand public mesurent des erreurs qui peuvent approcher le double de la d\u00e9pense r\u00e9elle sur les calories, parce qu'elles partent d'un BMR calcul\u00e9 au poids et comptent le temps total de s\u00e9ance. Le nombre de pas, lui, est une donn\u00e9e brute tr\u00e8s pr\u00e9cise sur les smartphones et montres actuels : utilise-le, et laisse le calcul calorique \u00e0 un outil qui conna\u00eet ton bodyfat.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Combien de calories br\u00fble vraiment une s\u00e9ance de musculation ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Autour de 200 \u00e0 250 kcal pour une s\u00e9ance classique, parce que seul le temps effectif sous les barres compte, pas les temps de repos entre les s\u00e9ries. Une montre qui affiche 1 000 kcal pour cette m\u00eame s\u00e9ance se trompe d'un facteur 4 \u00e0 5 : elle compte l'heure enti\u00e8re au lieu des 15 \u00e0 20 minutes d'effort r\u00e9el, sur un BMR d\u00e9j\u00e0 surestim\u00e9.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"La marche compte-t-elle comme du sport dans le calcul ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"La fronti\u00e8re scientifique entre non-exercice (NEAT) et exercice (EAT) est un MET de 3, et la marche se trouve pile dessus. En pratique : en dessous de 5 km\/h, ta marche rel\u00e8ve de la NEAT ; au-dessus, de la EAT. Comme on marche presque toujours sous les 5 km\/h au quotidien, l'approximation NEAT = d\u00e9pense li\u00e9e aux pas est excellente, et d'autant plus vraie que tu marches beaucoup.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Qu'est-ce que l'adaptation m\u00e9tabolique et comment la g\u00e9rer ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"En d\u00e9ficit prolong\u00e9, ton corps passe en mode \u00e9conomie d'\u00e9nergie et r\u00e9duit son m\u00e9tabolisme : c'est l'adaptation m\u00e9tabolique, mesur\u00e9e entre 5 et 25 % selon l'ampleur et la dur\u00e9e du d\u00e9ficit. Lean l'affiche comme un score qui part de 100 % (optimal) et descend. Quand tu atteins la zone 85-90 %, reviens \u00e0 la maintenance quelques semaines pour r\u00e9initialiser ton m\u00e9tabolisme, puis repars en d\u00e9ficit.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Comment conna\u00eetre son bodyfat sans DEXA scan ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Le DEXA reste la r\u00e9f\u00e9rence mais il est cher et peu accessible en routine. La pince \u00e0 pli cutan\u00e9 et la balance \u00e0 imp\u00e9dancem\u00e9trie sont trop impr\u00e9cises pour piloter un calcul de BMR. La m\u00e9thode la plus praticable aujourd'hui : un BodyScan par IA, entra\u00een\u00e9 sur des banques de scans DEXA. Tu te prends en photo, tu obtiens ton bodyfat estim\u00e9 en quelques secondes, et tu peux le refaire chaque semaine.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Mon TDEE change-t-il d'un jour \u00e0 l'autre ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Oui, et parfois de plus de 1 000 kcal. Ton BMR est stable \u00e0 court terme, mais ta NEAT d\u00e9pend de tes pas du jour, ta EAT de tes s\u00e9ances, et ta TEF de ce que tu manges. Un dimanche canap\u00e9 et un samedi de visite \u00e0 pied n'ont pas la m\u00eame d\u00e9pense. C'est pour \u00e7a qu'un objectif calorique fig\u00e9 calcul\u00e9 une fois \u00e0 l'inscription ne peut pas piloter un d\u00e9ficit pr\u00e9cis.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Lean est-il gratuit ou payant ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Lean est Premium, avec un essai gratuit de 7 jours sur l'abonnement annuel. T\u00e9l\u00e9chargement gratuit sur App Store et Google Play : tu testes le BodyScan IA, le TDEE d\u00e9compos\u00e9 en direct et le scan photo de repas, puis tu d\u00e9cides.\"\n      }\n    }\n  ]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"MobileApplication\",\n  \"name\": \"Lean\",\n  \"operatingSystem\": \"iOS, Android\",\n  \"applicationCategory\": \"HealthApplication\",\n  \"url\": \"https:\/\/lean-app.com\/\",\n  \"downloadUrl\": [\n    \"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&utm_medium=blog&utm_campaign=pilier-ultime\",\n    \"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&utm_source=seo&utm_medium=blog&utm_campaign=pilier-ultime\"\n  ]\n}\n<\/script>\n\n\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Leia tamb\u00e9m<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora TDEE: a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculadora bodyfat-aware com detalhamento dos 4 blocos metab\u00f3licos.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">C\u00e1lculo do metabolismo basal: a f\u00f3rmula mais precisa (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Harris-Benedict 1919 vs Mifflin 1990 vs Lean com gordura corporal.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de d\u00e9ficit cal\u00f3rico: a abordagem certa para o cutting <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sobre seu TDEE real bodyfat-aware. 3 ritmos: lento\/moderado\/agressivo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-adaptation-metabolique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: seu metabolismo desacelerou? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Coeficiente 100 a 0 %, BMR adaptado em kcal\/dia, e quando fazer um diet break.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/perdre-du-poids-avec-chatgpt\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Perder peso com ChatGPT funciona? Fizemos a pergunta 291 vezes a 5 IAs <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">291 respostas, 5 IAs, 6 perfis id\u00eanticos: at\u00e9 1 260 kcal de diferen\u00e7a para a mesma pessoa, e nenhum acompanhamento no dia seguinte.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/10000-pas-calories\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">10 000 passos por dia: quantas calorias isso queima de verdade <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entre 300 e 550 kcal conforme o seu peso. Tabela por perfil, f\u00f3rmula p\u00fablica, calculadora.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE): a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entenda os 4 blocos + a adapta\u00e7\u00e3o metab\u00f3lica, fontes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Metabolismo basal (BMR): tudo o que \u00e9 preciso saber para calcul\u00e1-lo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Defini\u00e7\u00e3o, equa\u00e7\u00e3o TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por que a gordura corporal muda tudo.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Calculer sa vraie d\u00e9pense calorique Guide de r\u00e9f\u00e9rence &middot; D\u00e9pense calorique &amp; TDEE Comment calculer ta vraie d\u00e9pense calorique. Le guide complet : BMR, NEAT, EAT, TEF, et la 5\u00e8me brique que 95&nbsp;% des gens ignorent. Si tu tracks tes calories sans tracker ta d\u00e9pense avec la m\u00eame rigueur, tu [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1806,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Como calcular seu gasto cal\u00f3rico (TDEE): o guia<\/title>\n<meta name=\"description\" content=\"O guia completo para calcular seu gasto cal\u00f3rico real: BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como calcular seu gasto cal\u00f3rico (TDEE): o guia\" \/>\n<meta property=\"og:description\" content=\"O guia completo para calcular seu gasto cal\u00f3rico real: BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/\" \/>\n<meta property=\"og:site_name\" content=\"Lean\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-16T12:39:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T18:18:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"L&#039;\u00e9quipe Lean\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"34 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Comment calculer ta vraie d\u00e9pense calorique : le guide complet\",\"datePublished\":\"2026-08-16T12:39:28+00:00\",\"dateModified\":\"2026-09-08T18:18:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/\"},\"wordCount\":7091,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png\",\"inLanguage\":\"pt-BR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/\",\"url\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/\",\"name\":\"Comment calculer sa d\u00e9pense calorique (TDEE) : le guide\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png\",\"datePublished\":\"2026-08-16T12:39:28+00:00\",\"dateModified\":\"2026-09-08T18:18:46+00:00\",\"description\":\"Le guide complet pour calculer ta vraie d\u00e9pense calorique : BMR sur bodyfat r\u00e9el, NEAT par pas, EAT par s\u00e9ance, TEF par macros, adaptation m\u00e9tabolique.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png\",\"width\":1200,\"height\":630},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Comment calculer ta vraie d\u00e9pense calorique : le guide complet\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lean-app.com\/#website\",\"url\":\"https:\/\/lean-app.com\/\",\"name\":\"Lean\",\"description\":\"T\u00e9l\u00e9charge, essaye GRATUITEMENT l&#039;application et prends en main ton corps \u00c0 VIE.\",\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lean-app.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"width\":1672,\"height\":1484,\"caption\":\"Lean\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\",\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\",\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\",\"https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker\",\"https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Como calcular seu gasto cal\u00f3rico (TDEE): o guia","description":"O guia completo para calcular seu gasto cal\u00f3rico real: BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/","og_locale":"pt_BR","og_type":"article","og_title":"Como calcular seu gasto cal\u00f3rico (TDEE): o guia","og_description":"O guia completo para calcular seu gasto cal\u00f3rico real: BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica.","og_url":"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-08-16T12:39:28+00:00","article_modified_time":"2026-09-08T18:18:46+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png","type":"image\/png"}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"34 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Comment calculer ta vraie d\u00e9pense calorique : le guide complet","datePublished":"2026-08-16T12:39:28+00:00","dateModified":"2026-09-08T18:18:46+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/"},"wordCount":7091,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png","inLanguage":"pt-BR"},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/","url":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/","name":"Como calcular seu gasto cal\u00f3rico (TDEE): o guia","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png","datePublished":"2026-08-16T12:39:28+00:00","dateModified":"2026-09-08T18:18:46+00:00","description":"O guia completo para calcular seu gasto cal\u00f3rico real: BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica.","breadcrumb":{"@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/og-calculer-vraie-depense-calorique.png","width":1200,"height":630},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Comment calculer ta vraie d\u00e9pense calorique : le guide complet"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Baixe, teste o aplicativo GRATUITAMENTE e assuma o controle do seu corpo PARA SEMPRE.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","width":1672,"height":1484,"caption":"Lean"},"image":{"@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646","https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite","https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker","https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/"]}]}},"_links":{"self":[{"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/posts\/1803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/comments?post=1803"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/posts\/1803\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/media\/1806"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/media?parent=1803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/categories?post=1803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/tags?post=1803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}