{"id":1407,"date":"2026-05-24T14:43:07","date_gmt":"2026-05-24T14:43:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=1407"},"modified":"2026-09-08T18:18:15","modified_gmt":"2026-09-08T18:18:15","slug":"lean-vs-lifesum","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/lean-vs-lifesum\/","title":{"rendered":"Lean diante do Lifesum: coaching de dieta premium diante da precis\u00e3o do TDEE"},"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\n\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  --mfp:#A8A192;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\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:72px;line-height:1.0;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:.66em;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-screen img{\n  width:100%;height:100%;object-fit:cover;display:block;\n  transition:opacity .28s ease;\n}\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#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 .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\n#lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\n#lvm-shell .table-row:last-child{border-bottom:0}\n#lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\n#lvm-shell .table-row.head > div{padding:18px 18px;display:flex;align-items:center;gap:10px;font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.07em}\n#lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\n#lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\n#lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\n#lvm-shell .table-row > .crit{padding:16px 18px;font-size:14px;color:var(--ink);font-weight:500;display:flex;align-items:center;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell{padding:16px 14px;font-size:13px;line-height:1.45;color:var(--ink-2);display:flex;align-items:center;gap:10px;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell:last-child{border-right:0}\n#lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\n#lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\n#lvm-shell .icn{width:18px;height:18px;border-radius:50%;display:inline-flex;align-items:center;justify-content:center;flex-shrink:0;font-size:13px;font-weight:600;color:#fff}\n#lvm-shell .icn.ok{background:var(--green)}\n#lvm-shell .icn.no{background:var(--red)}\n#lvm-shell .icn.mid{background:var(--amber)}\n#lvm-shell .icn svg{width:11px;height:11px}\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;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\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\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:46px;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 .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 .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\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:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\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 .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{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  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1407 #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-1407 #lvm-shell .wrap,\nbody.postid-1407 #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-1407 #lvm-shell .wrap,\n  body.postid-1407 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1407 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1407 #lvm-shell *{max-width:100%}\nbody.postid-1407 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1407 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1407 #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-1407 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1407 #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-1407 #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-1407 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1407 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1407 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1407 #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-1407 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1407 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1407 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1407 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1407 #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-1407 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1407 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1407 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1407 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1407 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1407 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1407 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1407 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1407 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1407 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1407 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1407 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1407 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1407 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1407 #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-1407 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1407 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1407 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1407 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1407 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"LIFESUM\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#27B5A3!important;\n  }\n  body.postid-1407 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1407 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1407 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1407 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1407 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1407 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1407 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1407 #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-1407 #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-1407 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1407 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1407 #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-1407 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n\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\/tdee-calculator\/\">Calculadora TDEE<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/>\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; Lean vs Lifesum<\/div>\n  <div class=\"eyebrow\">Comparativo &middot; Nutri\u00e7\u00e3o &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean diante do Lifesum.\n    <span class=\"alt\">O inv\u00f3lucro diet\u00e9tico premium diante do \u00fanico que recomp\u00f5e seu TDEE continuamente.<\/span>\n  <\/h1>\n  <p class=\"dek\">O Lifesum vende coaching de dieta. O Lean v\u00ea seu gasto real. Duas promessas que n\u00e3o jogam no mesmo campo.<\/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 12&nbsp;min &middot; Atualizado em 21 de maio de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" 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      O Lifesum \u00e9 conhecido pelo design caprichado, pelos programas de dieta prontos (keto, mediterr\u00e2neo, jejum intermitente, low-carb) e pelo Life Score que torna o acompanhamento quase l\u00fadico. Mas sua f\u00f3rmula de TDEE continua sendo Mifflin-St Jeor 1990, mais um fator de atividade est\u00e1tico que voc\u00ea marca uma \u00fanica vez no cadastro (sedentary, low active, active, very active). Sem gordura corporal real medida no app, sem adapta\u00e7\u00e3o metab\u00f3lica. Em 3 meses de cutting s\u00e9rio, a diferen\u00e7a aumenta.\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>O Lifesum calcula seu TDEE com Mifflin-St Jeor 1990 (sem gordura corporal medida no app) e um fator de atividade est\u00e1tico escolhido no cadastro entre 4 caixas (sedentary, low active, active, very active). A for\u00e7a real do Lifesum est\u00e1 em outro lugar: um design caprichado, programas diet\u00e9ticos pr\u00e9-fabricados (keto, mediterr\u00e2neo, jejum intermitente), um Life Score que torna o acompanhamento envolvente. O Lean toma um partido diferente: recalcular cada componente do TDEE (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energia gasta em repouso. Na Lean, calculada sobre a massa magra real via BodyScan IA.<\/span><\/span> sobre gordura corporal real via um modelo propriet\u00e1rio patenteado, <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> por passos, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Gasto ligado aos seus treinos, calculado via MET.<\/span><\/span> por MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energia gasta pela digest\u00e3o. Depende dos macros ingeridos.<\/span><\/span> por macros) e modular o BMR pela adapta\u00e7\u00e3o metab\u00f3lica continuamente, sem coeficiente a escolher.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; A constata\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"constat\">O Lifesum vende programas, n\u00e3o sua adapta\u00e7\u00e3o metab\u00f3lica<\/h2>\n  <p>Se voc\u00ea est\u00e1 lendo isso, provavelmente j\u00e1 instalou o Lifesum. Voc\u00ea escolheu esse app precisamente pelo que ele vende de melhor: uma UX premium, programas diet\u00e9ticos prontos para uso (keto, mediterr\u00e2neo, jejum intermitente), um Life Score que agrega suas escolhas do dia em uma nota encorajadora. Voc\u00ea informou seu peso, sua altura, sua idade, seu sexo, e escolheu seu fator de atividade em uma lista est\u00e1tica (sedentary, low active, active, very active). O app mostrou um objetivo cal\u00f3rico, digamos 2&nbsp;250&nbsp;kcal para perder peso.<\/p>\n  <p>Voc\u00ea seguiu as receitas propostas no programa. Escaneou os c\u00f3digos de barras, fotografou alguns pratos, viu seu Life Score subir quando comia vegetais verdes. As primeiras 6 semanas, funciona. Voc\u00ea perde. Fica contente. Depois, por volta da semana 8, a balan\u00e7a congela. Voc\u00ea aperta o cinto. Desce para 2&nbsp;000&nbsp;kcal. De novo, nada se mexe.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 a &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">de queda medida do TDEE ap\u00f3s 4 a 6 semanas de d\u00e9ficit a &minus;500&nbsp;kcal\/dia. O Lifesum n\u00e3o detecta isso. Seu objetivo cal\u00f3rico fica congelado no seu fator de atividade de 100&nbsp;dias atr\u00e1s.<\/div>\n  <\/div>\n\n  <p>Imagine que o Lifesum mostra um TDEE de 2&nbsp;500&nbsp;kcal. Voc\u00ea come 2&nbsp;250 (d\u00e9ficit te\u00f3rico de 250&nbsp;kcal). Mas na realidade, seu <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">TDEE caiu para 2&nbsp;200&nbsp;kcal<\/a> por causa da adapta\u00e7\u00e3o metab\u00f3lica. Voc\u00ea est\u00e1 em super\u00e1vit de 50&nbsp;kcal sem saber. Nenhuma chance de continuar perdendo, mesmo seguindo o programa keto ao p\u00e9 da letra.<\/p>\n  <p>A promessa do Lifesum \u00e9 clara e cumprida: voc\u00ea se sente acompanhado, segue um programa, o Life Score te encoraja. \u00c9 precioso para a ader\u00eancia. O que o Lifesum n\u00e3o faz \u00e9 <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">recalcular seu gasto<\/a> ao longo das semanas de d\u00e9ficit. E \u00e9 exatamente a\u00ed que a promessa \u00abcalorie tracker\u00bb para, quando \u00e9 a alavanca que faz perder peso.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problema 1<\/span><\/div>\n  <h2 id=\"p1\">A f\u00f3rmula BMR de 1990, sem gordura corporal medida no app<\/h2>\n  <p>Para calcular seu metabolismo basal (o BMR, a energia que voc\u00ea queima em repouso), o Lifesum usa a equa\u00e7\u00e3o de Mifflin-St Jeor. \u00c9 a f\u00f3rmula can\u00f4nica da maioria dos trackers de calorias de consumo, e \u00e9 preciso ser honesto: \u00e9 melhor do que Harris-Benedict 1919, que outros apps ainda usam.<\/p>\n  <p>Mifflin-St Jeor \u00e9 de 1990. A amostra \u00e9 maior (498 sujeitos), a metodologia de calorimetria indireta \u00e9 mais precisa, a f\u00f3rmula \u00e9 calibrada sobre uma popula\u00e7\u00e3o mais moderna. O Lifesum aplica a f\u00f3rmula oficial: 10 \u00d7 peso (kg) + 6,25 \u00d7 altura (cm) \u2212 5 \u00d7 idade \u2212 161 (mulheres) ou +5 (homens).<\/p>\n  <p>Ao contr\u00e1rio de alguns concorrentes que oferecem como op\u00e7\u00e3o avan\u00e7ada uma equa\u00e7\u00e3o tipo Katch-McArdle (baseada na massa magra), <strong>o Lifesum n\u00e3o oferece nenhum fallback de massa magra<\/strong>. Sem entrada manual da gordura corporal, sem c\u00e1lculo Katch-McArdle, sem DEXA como input. Voc\u00ea fica preso em Mifflin por padr\u00e3o, ponto. A consequ\u00eancia \u00e9 mec\u00e2nica: dois usu\u00e1rios de mesmo peso mas com 10 e 30 por cento de gordura corporal obt\u00eam <strong>o mesmo BMR Lifesum<\/strong>, quando seu gasto real pode diferir de 400 a 500 kcal por dia.<\/p>\n  <p>Mifflin (1990) corrige marginalmente Harris-Benedict (1919) na precis\u00e3o m\u00e9dia, mas herda o mesmo defeito conceitual: <strong>a f\u00f3rmula s\u00f3 leva em conta o peso. Nem a gordura corporal. Nem a massa magra.<\/strong><\/p>\n  <p>Mas desde os anos 80 se sabe que <strong>a massa gorda gasta muito pouca energia<\/strong> comparada ao resto do corpo. O f\u00edgado, o c\u00e9rebro, o cora\u00e7\u00e3o, os rins e sobretudo os m\u00fasculos s\u00e3o os verdadeiros consumidores. A massa gorda \u00e9 inerte. Uma pessoa com 30&nbsp;% de gordura corporal n\u00e3o queima nem de longe o mesmo que uma pessoa com 10&nbsp;%, mesmo com o mesmo peso.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) comparou Mifflin-St Jeor com a calorimetria indireta de refer\u00eancia em coortes obesas e n\u00e3o obesas. Resultado: precis\u00e3o de 87&nbsp;% nos n\u00e3o obesos, e apenas <strong>75&nbsp;% nos obesos<\/strong>. Um estudo mais recente (PMC11820646) mostra que nos IMC acima de 35, Mifflin erra em <strong>250 a 315&nbsp;kcal por dia<\/strong>. \u00c9 o equivalente a um lanche inteiro no c\u00e1lculo de um d\u00e9ficit.<\/p>\n\n  <p style=\"margin-bottom:8px\"><strong>Exemplo em n\u00fameros.<\/strong> Homem de 1,80 m, 120&nbsp;kg, 30&nbsp;% de gordura corporal:<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 1<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartBMR\" aria-label=\"Compara\u00e7\u00e3o BMR Mifflin-St Jeor 2500 kcal vs modelo propriet\u00e1rio patenteado Lean 2000 kcal, diferen\u00e7a de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>BMR estimado<\/strong> para um homem de 1,80 m, 120&nbsp;kg, 30&nbsp;% de gordura corporal. O modelo propriet\u00e1rio patenteado Lean leva em conta a massa magra. Mifflin-St Jeor (Lifesum por padr\u00e3o, sem op\u00e7\u00e3o massa magra), n\u00e3o. Diferen\u00e7a de 500&nbsp;kcal, o equivalente a um almo\u00e7o inteiro.<\/p>\n  <\/div>\n\n  <p>500&nbsp;kcal n\u00e3o \u00e9 pouca coisa. Se o Lifesum diz \u00ab&nbsp;seu BMR \u00e9 de 2&nbsp;500&nbsp;\u00bb e na realidade \u00e9 de 2&nbsp;000, tudo o que vem depois est\u00e1 errado: seu objetivo de d\u00e9ficit, sua proje\u00e7\u00e3o de perda semanal, sua distribui\u00e7\u00e3o de macros calculada em porcentagem do TDEE.<\/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=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">de diferen\u00e7a entre dois homens de 80&nbsp;kg, um com 10&nbsp;% de gordura corporal (BMR 1&nbsp;900), o outro com 30&nbsp;% (BMR 1&nbsp;500). O Lifesum d\u00e1 a eles o mesmo n\u00famero, sem op\u00e7\u00e3o massa magra.<\/div>\n  <\/div>\n\n  <p>Conclus\u00e3o parcial: se um app calcula seu BMR unicamente a partir do seu peso, da sua altura, da sua idade e do seu sexo, o resultado n\u00e3o pode ser individualizado. \u00c9 matematicamente imposs\u00edvel.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problema 2<\/span><\/div>\n  <h2 id=\"p2\">O fator de atividade, escolhido de uma vez por todas<\/h2>\n  <p>\u00c9 aqui que a coisa fica grave. E provavelmente \u00e9 o ponto que ningu\u00e9m te explicou.<\/p>\n  <p>Uma vez que o Lifesum calculou seu BMR (sem gordura corporal medida no app), ele precisa estimar seu TDEE total. O <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">TDEE, \u00e9 o BMR + todo o resto<\/a> : o gasto ligado aos passos, \u00e0s atividades cotidianas, ao esporte e \u00e0 digest\u00e3o. Tudo o que n\u00e3o \u00e9 metabolismo basal.<\/p>\n  <p>Como o Lifesum faz isso? Ele pede, uma \u00fanica vez no momento do cadastro, para escolher seu fator de atividade em uma lista est\u00e1tica de 4 caixas. Esses fatores se chamam em ci\u00eancia do esporte <strong>n\u00edveis PAL<\/strong> (Physical Activity Level), \u00e9 s\u00f3 um multiplicador aplicado ao seu BMR:<\/p>\n  <ul>\n    <li>Sedentary (PAL 1,25): escrit\u00f3rio, pouca caminhada<\/li>\n    <li>Low Active (PAL 1,4): caminhada ocasional, pouco esporte<\/li>\n    <li>Active (PAL 1,6): caminhada regular, esporte 3 a 5 vezes por semana<\/li>\n    <li>Very Active (PAL 1,8): esporte intenso quase di\u00e1rio ou trabalho f\u00edsico<\/li>\n  <\/ul>\n  <p>E segundo sua escolha, o app multiplica seu BMR pelo coeficiente associado. \u00c9 s\u00f3 isso. \u00c9 tudo o que h\u00e1 por tr\u00e1s do seu objetivo cal\u00f3rico di\u00e1rio. Uma caixa que VOC\u00ca marcou uma \u00fanica vez no momento do cadastro. Muitas vezes seis meses atr\u00e1s. Sem mudar desde ent\u00e3o.<\/p>\n  <p>E a\u00ed est\u00e1 a armadilha silenciosa: essa aproxima\u00e7\u00e3o \u00e9 <strong>hiperimperfeita<\/strong>. A diferen\u00e7a entre um dia em que voc\u00ea fica grudado no sof\u00e1 vendo Netflix e um dia em que vai \u00e0 Disneyland com seus filhos e anda 15&nbsp;km, <strong>s\u00e3o mais de 1&nbsp;000&nbsp;kcal<\/strong>. Nenhuma das 4 caixas capta isso.<\/p>\n  <p>O Lifesum sincroniza bem com Apple Health e Google Fit, e capta seus passos. Um add-on cal\u00f3rico de exerc\u00edcio pode se somar ao objetivo cal\u00f3rico di\u00e1rio quando o app detecta um treino. Mas esses passos n\u00e3o alimentam um rec\u00e1lculo do TDEE completo: seu objetivo cal\u00f3rico continua baseado no fator de atividade escolhido no onboarding, mais um add-on de exerc\u00edcio que se confunde com o NEAT e o EAT, sem separ\u00e1-los direito.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 2 &middot; 7 dias reais<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartNEAT\" aria-label=\"Variabilidade di\u00e1ria do gasto cal\u00f3rico em 7 dias, contra 2400 kcal fixas segundo o Lifesum\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Gasto real<\/strong> medido durante 7&nbsp;dias em um usu\u00e1rio do Lean. A linha cinza \u00e9 o que o Lifesum mostrava (2&nbsp;400&nbsp;kcal fixas, PAL Active \u00d7 BMR). As anota\u00e7\u00f5es rosa mostram por que cada dia se mexe.<\/p>\n  <\/div>\n\n  <p>Voc\u00ea n\u00e3o pode reduzir seu n\u00edvel de atividade a uma caixa est\u00e1tica. Talvez voc\u00ea seja ativo nas semanas em que faz pouco home office, e sedent\u00e1rio nas que n\u00e3o sai do escrit\u00f3rio. Talvez seja ativo no ver\u00e3o e sedent\u00e1rio no inverno. Talvez seja ativo de ter\u00e7a a sexta e sedent\u00e1rio no fim de semana.<\/p>\n  <p>Qual caixa voc\u00ea vai marcar esta semana? A verdade \u00e9 que nenhuma das 4 ser\u00e1 correta. E portanto o Lifesum vai te dar um TDEE sistematicamente desconectado da realidade.<\/p>\n  <p>O ponto-chave deste artigo: mesmo com uma f\u00f3rmula BMR mais moderna, o PAL est\u00e1tico bastaria para quebrar tudo. Voc\u00ea n\u00e3o pode estimar um <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT<\/a>, um EAT e um <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF<\/a> com um multiplicador \u00fanico aplicado ao BMR. \u00c9 conceitualmente absurdo.<\/p>\n  <p>Voc\u00ea j\u00e1 entendeu: <strong>uma f\u00f3rmula BMR sem gordura corporal medida no app, mais uma aproxima\u00e7\u00e3o PAL est\u00e1tica das outras rubricas de gasto, d\u00e1 muito poucas chances de atingir seus objetivos em 3 a 6 meses.<\/strong><\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Ver seu TDEE real, decomposto em BMR + NEAT + EAT + TEF. Download gratuito.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problema 3<\/span><\/div>\n  <h2 id=\"p3\">A adapta\u00e7\u00e3o metab\u00f3lica, nunca modelada<\/h2>\n  <p>\u00c9 o chef\u00e3o final. A no\u00e7\u00e3o mais fina. E provavelmente a mais importante.<\/p>\n  <p>Quando voc\u00ea est\u00e1 em d\u00e9ficit cal\u00f3rico, seu corpo entende que recebe menos energia do que antes. Para se proteger, ele passa para o modo economia. Exatamente como o modo de economia de energia do seu iPhone: tudo continua funcionando, mas usando menos energia. Seu BMR cai. Seu NEAT cai. Seu EAT cai.<\/p>\n  <p>\u00c9 o que se chama adapta\u00e7\u00e3o metab\u00f3lica. A literatura cient\u00edfica \u00e9 clara e reproduz\u00edvel: M\u00fcller 2015 (PubMed 26399868, revis\u00e3o de Minnesota), Stenholm 2015 sobre a ader\u00eancia aos apps de tracking (PubMed 26302366), Nunes 2020 (PMC7484122) em 6 semanas de d\u00e9ficit. Estes s\u00e3o os n\u00fameros:<\/p>\n  <ul>\n    <li>D\u00e9ficit de &minus;250&nbsp;kcal por dia, durante 2 a 8 semanas: adapta\u00e7\u00e3o de <strong>de 5 a 10&nbsp;%<\/strong> (o TDEE cai para 90-95&nbsp;% do n\u00edvel inicial)<\/li>\n    <li>D\u00e9ficit de &minus;500&nbsp;kcal por dia: <strong>10 a 15&nbsp;%<\/strong> de adapta\u00e7\u00e3o (o TDEE cai para 85-90&nbsp;%)<\/li>\n    <li>D\u00e9ficit de &minus;750&nbsp;kcal por dia: <strong>15 a 25&nbsp;%<\/strong> de adapta\u00e7\u00e3o (o TDEE cai para 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Conven\u00e7\u00e3o Lean: 100&nbsp;% = ideal, 90&nbsp;% = 10&nbsp;% de adapta\u00e7\u00e3o. E como o NEAT, o EAT e o TEF dependem todos diretamente do BMR, \u00e9 quase todo o TDEE que \u00e9 afetado.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 3 &middot; 8 semanas em d\u00e9ficit<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartAdapt\" aria-label=\"TDEE que cai de 2500 para 2150 kcal em 8 semanas, contra 2500 fixas segundo o Lifesum\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>TDEE real<\/strong> em 8 semanas de d\u00e9ficit a &minus;500&nbsp;kcal\/dia. A curva rosa desce. A linha do Lifesum fica plana. Na semana 6, voc\u00ea j\u00e1 est\u00e1 na manuten\u00e7\u00e3o. Sem ter mudado nada.<\/p>\n  <\/div>\n\n  <p>Concretamente: se voc\u00ea previu um d\u00e9ficit de 10&nbsp;% sobre um TDEE de 2&nbsp;500 (ou seja, comer 2&nbsp;250 por dia), e seu corpo se adapta em 10&nbsp;%, seu TDEE real passou a 2&nbsp;250. Voc\u00ea est\u00e1 na manuten\u00e7\u00e3o. N\u00e3o perde mais.<\/p>\n  <p>A armadilha \u00e9 que \u00e9 insidioso. No in\u00edcio, voc\u00ea perde. Fica contente. Continua. Mas semana ap\u00f3s semana, a adapta\u00e7\u00e3o se acumula. E em algum momento, sem ter mudado nada no seu tracking, <strong>voc\u00ea para de perder<\/strong>.<\/p>\n  <p>95&nbsp;% das pessoas passam por isso sem entender. Culpam a for\u00e7a de vontade. Culpam o \u00ab&nbsp;metabolismo quebrado&nbsp;\u00bb. Voltam para dietas mais duras, o que agrava a adapta\u00e7\u00e3o. Espiral.<\/p>\n  <p>O Lifesum nunca calcula a adapta\u00e7\u00e3o metab\u00f3lica. Ele te d\u00e1 um objetivo cal\u00f3rico fixo e est\u00e1tico enquanto voc\u00ea n\u00e3o atualiza seu peso e seu fator de atividade manualmente. Voc\u00ea pode seguir seu programa keto ao p\u00e9 da letra semana ap\u00f3s semana, mas quando estagna ap\u00f3s 6 semanas de cutting, o app n\u00e3o tem a menor ideia do porqu\u00ea. O Life Score continua subindo, o TDEE fica congelado.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Solu\u00e7\u00e3o Lean<\/span><\/div>\n  <h2 id=\"solution\">Como o Lean resolve cada um dos 3 problemas<\/h2>\n  <p>O Lifesum cuida da experi\u00eancia melhor do que ningu\u00e9m: interface, programas tem\u00e1ticos, fotos de alimentos. Ningu\u00e9m contesta isso aqui. Mas por tr\u00e1s de uma interface premium, o c\u00e1lculo do gasto continua sendo o de todo o mercado: uma f\u00f3rmula de popula\u00e7\u00e3o multiplicada por um n\u00edvel de atividade declarado. O Lean investiu em outro lugar, no motor: medir cada componente do TDEE (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) mais a adapta\u00e7\u00e3o metab\u00f3lica. Veja o detalhe.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-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-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Passo 1<strong>BodyScan IA<\/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-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Passo 2<strong>BMR recalculado<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">O BMR sobre gordura corporal real<\/div>\n      <h3>Modelo propriet\u00e1rio patenteado, baseado na massa magra<\/h3>\n      <p>Um plano keto ou mediterr\u00e2neo perfeitamente apresentado continua calibrado sobre um objetivo cal\u00f3rico. Se esse n\u00famero est\u00e1 errado em 300&nbsp;kcal, o programa tamb\u00e9m est\u00e1. O Lean calcula o metabolismo sobre a <strong>massa magra<\/strong>, a \u00fanica que consome realmente em repouso.<\/p>\n      <p>O <strong>BodyScan IA<\/strong> resolve a medi\u00e7\u00e3o: uma foto analisada por um modelo treinado em um banco de scans DEXA, sua gordura corporal em alguns segundos, a refazer toda semana. O metabolismo se recalcula sozinho por tr\u00e1s.<\/p>\n      <p>Sem adip\u00f4metro, sem balan\u00e7a de bioimped\u00e2ncia dependente da sua hidrata\u00e7\u00e3o, sem DEXA. Uma foto por semana.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Sem coeficiente de atividade<\/div>\n      <h3>NEAT, EAT, TEF calculados separadamente<\/h3>\n      <p><strong>NEAT.<\/strong> Seus passos reais v\u00eam do HealthKit (iOS) ou do Google Fit (Android). Um programa tem\u00e1tico n\u00e3o faz diferen\u00e7a entre sua semana de home office e sua semana de f\u00e9rias: o Lean sim, porque ele l\u00ea seus passos em vez de perguntar seu n\u00edvel de atividade.<\/p>\n      <p><strong>EAT.<\/strong> Cada treino \u00e9 calculado por MET sobre seu tempo de esfor\u00e7o efetivo. Uma hora de muscula\u00e7\u00e3o com seus tempos mortos n\u00e3o vale uma hora de corrida cont\u00ednua, e contar as duas igual falseia seu balan\u00e7o semanal.<\/p>\n      <p><strong>TEF.<\/strong> Digerir custa energia, a taxas muito diferentes segundo os macros: de 20 a 30&nbsp;% para as prote\u00ednas, de 5 a 10&nbsp;% para os carboidratos, de 1 a 3&nbsp;% para as gorduras. Uma dieta rica em prote\u00ednas muda portanto seu gasto, o que uma taxa fixa de 10&nbsp;% n\u00e3o reflete.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo<strong>Adapta\u00e7\u00e3o autom\u00e1tica<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica<\/div>\n      <h3>Uma primeira mundial em um app de consumo<\/h3>\n      <p><strong>A adapta\u00e7\u00e3o metab\u00f3lica.<\/strong> \u00c9 o que explica que um programa seguido ao p\u00e9 da letra deixe de funcionar ap\u00f3s dois meses. O Lean ajusta seu TDEE para baixo segundo as faixas publicadas (M\u00fcller 2015, Doucet 2001) em vez de manter o mesmo objetivo do primeiro ao \u00faltimo dia.<\/p>\n      <p>Passados 10 a 15&nbsp;% de adapta\u00e7\u00e3o, o app pode aconselhar um retorno \u00e0 manuten\u00e7\u00e3o para relan\u00e7ar o metabolismo. Ciclo, plat\u00f4, ciclo, como nos protocolos de verdade.<\/p>\n      <p>Nenhum n\u00edvel de atividade a selecionar no cadastro. Cada componente \u00e9 medido, semana ap\u00f3s semana.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Tabela comparativa<\/span><\/div>\n  <h2 id=\"tab\">Lean diante do Lifesum, crit\u00e9rio por crit\u00e9rio<\/h2>\n  <p>Leitura honesta dos pontos fortes e fracos de cada app. Nenhum crit\u00e9rio se refere ao pre\u00e7o.<\/p>\n\n  <div class=\"table\" role=\"table\" aria-label=\"Comparativo Lean diante do Lifesum\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Crit\u00e9rio<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><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\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lifesum<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">F\u00f3rmula BMR<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Modelo propriet\u00e1rio patenteado (massa magra)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, sem op\u00e7\u00e3o massa magra<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Leva em conta a gordura corporal<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim, medido no app<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, nenhuma entrada de gordura corporal poss\u00edvel<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Medi\u00e7\u00e3o da gordura corporal no app<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> BodyScan IA via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (passos, atividade fora do esporte)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calculado sobre os passos reais todo dia<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Sync HealthKit, add-on cal\u00f3rico de exerc\u00edcio, mas sem rec\u00e1lculo do TDEE<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (gasto do exerc\u00edcio)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Por esporte via MET, tempo efetivo<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Sele\u00e7\u00e3o simples de esporte, base de exerc\u00edcios padr\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (digest\u00e3o)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calculado segundo macros, integrado no TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, macros mostrados sem c\u00e1lculo de TEF<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Adapta\u00e7\u00e3o metab\u00f3lica<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Autom\u00e1tica, semana a semana<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Coeficiente de atividade a escolher<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> N\u00e3o, calculado sobre dados reais<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Sim, 4 caixas est\u00e1ticas (sedentary a very active, PAL 1,25 a 1,8)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan de foto por IA de um prato<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim, ilimitado<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, entrada manual ou c\u00f3digo de barras<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan de c\u00f3digo de barras<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Base de dados de alimentos<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, curada<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Food database multipa\u00eds, parcialmente comunit\u00e1ria<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Recomenda\u00e7\u00e3o de d\u00e9ficit cal\u00f3rico<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Adaptada ao TDEE real<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Objetivo fixo, rec\u00e1lculo manual necess\u00e1rio<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Programas diet\u00e9ticos pr\u00e9-fabricados<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fora do escopo, foco no c\u00e1lculo do TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Keto, mediterr\u00e2neo, jejum intermitente, low-carb<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Life Score \/ gamifica\u00e7\u00e3o nutricional<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fora do escopo<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Refer\u00eancia em UX de bem-estar<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Cobertura EU e localiza\u00e7\u00e3o<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Mais de 25 idiomas, fundada na Su\u00e9cia em 2008<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Reputa\u00e7\u00e3o e tamanho da audi\u00eancia<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,7\/5, mais de 10&nbsp;000 usu\u00e1rios, app jovem<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,6\/5, mais de 50M de downloads, p\u00fablico feminino bem-estar<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Modelo de neg\u00f3cio<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, teste gratuito de 7 dias no plano anual<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Freemium, Premium dispon\u00edvel<\/div>\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\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 m\u00e9todos para registrar uma refei\u00e7\u00e3o<\/h2>\n  <p>Uma bela interface n\u00e3o basta se registrar uma refei\u00e7\u00e3o leva tempo demais. O Lean aposta em tr\u00eas m\u00e9todos complementares para que o gesto continue r\u00e1pido ao longo do tempo.<\/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 USDA + OpenFoodFacts\" 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 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\" 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  <ol>\n    <li><strong>Busca na base de dados.<\/strong> Base curada, USDA + OpenFoodFacts. Sem ru\u00eddo comunit\u00e1rio, sem \u00ab&nbsp;Frango assado&nbsp;\u00bb inserido 47 vezes por 47 usu\u00e1rios diferentes com 47 valores diferentes.<\/li>\n    <li><strong>Scan de c\u00f3digo de barras.<\/strong> Padr\u00e3o. Voc\u00ea escaneia seu pacote de macarr\u00e3o, obt\u00e9m os macros.<\/li>\n    <li><strong>Scan de foto por IA de um prato.<\/strong> Voc\u00ea fotografa seu prato, a IA detecta os alimentos, voc\u00ea obt\u00e9m as calorias e os macros por alimento.<\/li>\n  <\/ol>\n  <p>O scan de foto por IA serve antes de tudo para as refei\u00e7\u00f5es fora de casa, aquelas que nenhum plano pr\u00e9-escrito antecipa. Uma foto, e seu almo\u00e7o improvisado est\u00e1 registrado.<\/p>\n  <p>Al\u00e9m da refei\u00e7\u00e3o, o Lean mostra um TDEE que se recalcula durante o dia segundo seus passos. Um programa tem\u00e1tico fixa o mesmo objetivo de segunda a domingo, seja qual for sua atividade real.<\/p>\n  <p>E no topo, a Pir\u00e2mide de Progress\u00e3o:<\/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\">N\u00e3o queimar etapas. Se voc\u00ea n\u00e3o \u00e9 regular no tracking, otimizar os macros no um por cento n\u00e3o serve para nada.<\/div>\n<\/section>\n\n<section aria-labelledby=\"lifesum-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Honestidade<\/span><\/div>\n  <h2 id=\"lifesum-better\">O que o Lifesum faz melhor<\/h2>\n  <p>O Lean n\u00e3o \u00e9 perfeito, e o Lifesum tem v\u00e1rios pontos fortes reais que \u00e9 preciso reconhecer. Leitura honesta, crit\u00e9rio por crit\u00e9rio, nos eixos em que o Lifesum continua na frente. Nenhum desses eixos \u00e9 secund\u00e1rio: s\u00e3o pilares reais da promessa do Lifesum, e o que explica sua ado\u00e7\u00e3o massiva no p\u00fablico de mulheres de 25 a 45 anos voltadas ao bem-estar.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Lifesum diante do Lean em 4 eixos UX e ades\u00e3o\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Eixo<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lifesum<\/div>\n      <div class=\"h-brand\"><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\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Programas diet\u00e9ticos pr\u00e9-fabricados<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:94%\"><\/i><\/div><div class=\"v\">9,4<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">UX design e ergonomia premium<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:78%\"><\/i><\/div><div class=\"v\">7,8<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Life Score e gamifica\u00e7\u00e3o di\u00e1ria<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:88%\"><\/i><\/div><div class=\"v\">8,8<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:30%\"><\/i><\/div><div class=\"v\">3,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">P\u00fablico geral bem-estar<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:55%\"><\/i><\/div><div class=\"v\">5,5<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Leitura honesta.<\/strong> Nos programas diet\u00e9ticos pr\u00e9-fabricados, o Lifesum \u00e9 a refer\u00eancia de consumo: keto, mediterr\u00e2neo, jejum intermitente 16:8, low-carb, paleo, cada um com suas receitas embarcadas, sua curva de ado\u00e7\u00e3o, seus lembretes di\u00e1rios. Nenhum outro app de consumo investiu tanto nesse tipo de conte\u00fado pronto. O Lean n\u00e3o tem programa de dieta pr\u00e9-fabricado: voc\u00ea escolhe seus objetivos e registra, ponto. Na UX, o Lifesum \u00e9 provavelmente o app de nutri\u00e7\u00e3o mais caprichado do mercado: paleta suave, microintera\u00e7\u00f5es polidas, onboarding que te pega pela m\u00e3o. O Lean \u00e9 limpo mas mais utilit\u00e1rio, orientado \u00e0 precis\u00e3o mais do que ao conforto. Na gamifica\u00e7\u00e3o, o Life Score (um n\u00famero di\u00e1rio de 0 a 100 que resume \u00abseu dia saud\u00e1vel\u00bb) \u00e9 um mecanismo de ader\u00eancia eficaz para quem precisa de um retorno visual l\u00fadico toda noite.<\/p>\n  <p>Se seu foco principal \u00e9 seguir um programa diet\u00e9tico estruturado (keto estrito, mediterr\u00e2neo, IF 16:8), se voc\u00ea quer uma experi\u00eancia de app muito caprichada em vez de uma ferramenta de precis\u00e3o, ou se a gamifica\u00e7\u00e3o di\u00e1ria te ajuda a aguentar, o Lifesum \u00e9 mais relevante do que o Lean. Se seu foco \u00e9 a precis\u00e3o do <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">c\u00e1lculo do TDEE<\/a>, a gordura corporal medida toda semana via BodyScan IA, e a adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica, \u00e9 exatamente o que acaba de ser demonstrado nas 3 se\u00e7\u00f5es anteriores. Muitos usu\u00e1rios rodam o Lean para a medi\u00e7\u00e3o e o Lifesum em paralelo para a estrutura de programa, \u00e9 totalmente defens\u00e1vel.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Para quem<\/span><\/div>\n  <h2 id=\"forwho\">Para quem o Lean foi feito<\/h2>\n  <p>4 perfis. Se voc\u00ea se reconhece em pelo menos um, o Lean provavelmente foi feito para voc\u00ea.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea seguiu um programa Lifesum a s\u00e9rio e n\u00e3o perdeu<\/h4>\n        <p>Voc\u00ea seguiu o keto, o mediterr\u00e2neo ou o 16:8 direitinho, respeitou suas refei\u00e7\u00f5es, aguentou v\u00e1rias semanas, e estagna. O culpado n\u00e3o \u00e9 o programa, \u00e9 o TDEE congelado por Mifflin 1990 sem gordura corporal sobre o qual repousam seus objetivos cal\u00f3ricos. O Lean corrige na raiz via o BMR sobre gordura corporal real.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea estagna ap\u00f3s v\u00e1rias semanas de cutting<\/h4>\n        <p>Plat\u00f4 que se eterniza ap\u00f3s 4 a 8 semanas. \u00c9 a adapta\u00e7\u00e3o metab\u00f3lica. O Lean a calcula automaticamente e reajusta seu objetivo toda semana.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea quer entender seu metabolismo<\/h4>\n        <p>O Lean mostra cada componente (BMR, NEAT, EAT, TEF) e depois explica a adapta\u00e7\u00e3o \u00e0 parte, em vez de esconder tudo atr\u00e1s de um n\u00famero \u00fanico. Voc\u00ea v\u00ea de onde vem cada kcal de gasto.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea quer um tracking que dure 12 meses<\/h4>\n        <p>Scan de foto por IA + base curada + c\u00f3digo de barras cobrem todos os usos, do alimento cru \u00e0 pizza no restaurante. \u00c9 o que faz a diferen\u00e7a entre aguentar e desistir.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>O Lifesum continua mais relevante para<\/strong>&nbsp;: seguir um programa diet\u00e9tico estruturado (keto, mediterr\u00e2neo, jejum intermitente 16:8, low-carb), aproveitar uma UX de app muito caprichada pensada para o bem-estar, ou se apoiar na gamifica\u00e7\u00e3o do Life Score para aguentar no dia a dia. A precis\u00e3o do c\u00e1lculo do TDEE e a adapta\u00e7\u00e3o metab\u00f3lica simplesmente n\u00e3o fazem parte da promessa principal dele.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migra\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"migrate\">Passar do Lifesum para o Lean (ou usar os dois) em 3 minutos<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Baixe o Lean<\/h4><p>App Store ou Play Store. Cadastro em 30 segundos.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>BodyScan IA<\/h4><p>Uma foto, 5 segundos. Voc\u00ea obt\u00e9m sua gordura corporal.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Peso &amp; altura<\/h4><p>Voc\u00ea informa seu peso e sua altura. \u00c9 s\u00f3 isso.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>O Lean calcula<\/h4><p>BMR sobre gordura corporal real, NEAT via HealthKit \/ Google Fit (passos reais), EAT por MET, TEF por macros, mais a adapta\u00e7\u00e3o metab\u00f3lica que modula o BMR. Autom\u00e1tico.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Registre uma refei\u00e7\u00e3o<\/h4><p>Foto, c\u00f3digo de barras ou base de dados. Voc\u00ea entende o fluxo.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Nota importante.<\/strong> O Lean n\u00e3o importa seu hist\u00f3rico do Lifesum automaticamente, nem suas receitas personalizadas. Se voc\u00ea segue um programa de dieta no Lifesum que quer manter (keto, mediterr\u00e2neo, 16:8), muitos usu\u00e1rios continuam consultando o plano do Lifesum para a estrutura das refei\u00e7\u00f5es e as ideias de receitas, usando o Lean no dia a dia para o c\u00e1lculo do TDEE e o tracking preciso. A sincroniza\u00e7\u00e3o HealthKit \/ Google Health Connect, por sua vez, assume imediatamente seus passos e seu hist\u00f3rico de atividade.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Baixe o Lean e comece o BodyScan IA agora mesmo. Cadastro gratuito.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; O que o Lean desbloqueia<\/span><\/div>\n  <h2 id=\"deblock-h\">O que o Lean faz, e que o Lifesum n\u00e3o faz (no TDEE)<\/h2>\n  <p>Seis funcionalidades que n\u00e3o existem em nenhum outro tracker de consumo. Todas derivam do mesmo princ\u00edpio: calcular cada componente do TDEE com precis\u00e3o, n\u00e3o aproxim\u00e1-lo.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">BodyScan IA ilimitado<\/div><p class=\"fd\">Sua gordura corporal real, medida a partir de uma simples foto, refeita toda semana. \u00c9 o dado que muda todo o c\u00e1lculo do BMR. Nenhum outro app de consumo oferece isso.<\/p><\/div><div class=\"fc\">Gordura corporal<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Scan de foto por IA de um prato ilimitado<\/div><p class=\"fd\">Registre sua refei\u00e7\u00e3o no restaurante em 2 segundos. Sem balan\u00e7a, sem entrada manual. O game changer da ader\u00eancia em 12 meses.<\/p><\/div><div class=\"fc\">Ader\u00eancia<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica<\/div><p class=\"fd\">Seu TDEE se reajusta semana a semana segundo os n\u00fameros cientificamente estabelecidos. Voc\u00ea evita os plat\u00f4s que ningu\u00e9m sabe explicar.<\/p><\/div><div class=\"fc\">Adapta\u00e7\u00e3o<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">TDEE decomposto ao vivo<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF mostrados cada um, atualizados durante o dia. Chega de n\u00famero congelado \u00e0s 8 da manh\u00e3. Voc\u00ea v\u00ea seu balan\u00e7o cal\u00f3rico ao vivo.<\/p><\/div><div class=\"fc\">Ao vivo<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Hist\u00f3rico completo e tend\u00eancias<\/div><p class=\"fd\">Acompanhe suas tend\u00eancias de peso, gordura corporal, massa magra ao longo de meses. Entenda seus ciclos. Identifique as fases em que voc\u00ea progride e aquelas em que estagna.<\/p><\/div><div class=\"fc\">Hist\u00f3rico<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 m\u00e9todos de tracking unificados<\/div><p class=\"fd\">Foto, c\u00f3digo de barras, base curada. Nenhum outro app oferece os tr\u00eas com tal precis\u00e3o. Voc\u00ea escolhe o m\u00e9todo segundo o contexto.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Voc\u00ea instala o app gratuitamente, testa sem compromisso e depois decide se a ferramenta combina com seu objetivo.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Perguntas frequentes<\/h2>\n  <div class=\"faq\">\n    <details><summary>O Lifesum \u00e9 conhecido pelos planos de dieta, por que compar\u00e1-lo ao Lean no TDEE?<\/summary><div class=\"ans\">O Lifesum tem fama pelos planos de dieta premium (keto, jejum intermitente, mediterr\u00e2neo, escandinavo), pela UX caprichada e pela biblioteca de receitas. \u00c9 uma for\u00e7a real para a inspira\u00e7\u00e3o culin\u00e1ria e a varia\u00e7\u00e3o dos protocolos. Mas o motor cal\u00f3rico subjacente continua sendo Mifflin-St Jeor 1990 sem gordura corporal, mais um fator de atividade est\u00e1tico escolhido no quiz de cadastro. No TDEE, o motor \u00e9 b\u00e1sico. O Lean recalcula todo dia seu BMR sobre sua gordura corporal real medida por BodyScan IA, e modula pela adapta\u00e7\u00e3o metab\u00f3lica. Os dois apps n\u00e3o jogam no mesmo campo.<\/div><\/details>\n    <details><summary>Por que o Lifesum n\u00e3o calcula o BMR sobre a gordura corporal real?<\/summary><div class=\"ans\">O Lifesum aplica Mifflin-St Jeor 1990 por padr\u00e3o sem op\u00e7\u00e3o de massa magra. Nenhuma medi\u00e7\u00e3o de gordura corporal est\u00e1 integrada no app, e nenhuma equa\u00e7\u00e3o tipo Katch-McArdle \u00e9 oferecida, nem mesmo em configura\u00e7\u00f5es avan\u00e7adas. A consequ\u00eancia \u00e9 mec\u00e2nica: dois usu\u00e1rios de mesmo peso mas com 12 e 30 por cento de gordura corporal obt\u00eam o mesmo BMR Lifesum, quando seu gasto real pode diferir de 400 a 500 kcal por dia. O Lean integra o BodyScan IA para medir sua gordura corporal a partir de uma simples foto, a refazer toda semana.<\/div><\/details>\n    <details><summary>O sistema Life Score e os food ratings do Lifesum s\u00e3o uma medida metab\u00f3lica real?<\/summary><div class=\"ans\">N\u00e3o. O Life Score e as classifica\u00e7\u00f5es de alimentos (A, B, C, D, E) classificam os alimentos segundo sua densidade nutricional e seu interesse diet\u00e9tico. \u00c9 uma ferramenta pedag\u00f3gica de qualidade alimentar, n\u00e3o uma medi\u00e7\u00e3o de gasto energ\u00e9tico. \u00c9 eficaz para orientar as escolhas no dia a dia, mas n\u00e3o influencia o c\u00e1lculo do TDEE. No seu metabolismo real, o Lifesum fica em Mifflin 1990 mais um fator de atividade est\u00e1tico. O Life Score n\u00e3o modifica o objetivo cal\u00f3rico calculado.<\/div><\/details>\n    <details><summary>O Lifesum importa os passos via HealthKit, basta para o NEAT?<\/summary><div class=\"ans\">O Lifesum sincroniza Apple Health e Google Fit para os passos e alguns treinos, e pode adicionar um add-on cal\u00f3rico para os exerc\u00edcios detectados. Mas o c\u00e1lculo de fundo do TDEE continua baseado no fator de atividade escolhido no cadastro entre cinco caixas (sedentary, low active, regular, active, very active). O NEAT medido dia a dia n\u00e3o recomp\u00f5e o gasto total. O Lean calcula o NEAT diretamente a partir dos passos reais medidos todo dia, sem coeficiente a escolher.<\/div><\/details>\n    <details><summary>O Lean \u00e9 freemium ou pago?<\/summary><div class=\"ans\">O Lean \u00e9 Premium, com um teste gratuito de 7 dias na assinatura anual. Voc\u00ea baixa, testa o BodyScan IA, o scan de foto por IA de um prato, a recomposi\u00e7\u00e3o do TDEE, sem compromisso. Se a ferramenta combina com seu objetivo, voc\u00ea continua. Sen\u00e3o, desativa a renova\u00e7\u00e3o antes do fim do per\u00edodo de teste.<\/div><\/details>\n    <details><summary>\u00c9 poss\u00edvel usar o Lean e o Lifesum em paralelo?<\/summary><div class=\"ans\">Sim, \u00e9 defens\u00e1vel se voc\u00ea gosta das receitas e dos planos de dieta do Lifesum para estruturar sua semana, ou se quer variar os protocolos (keto, jejum, mediterr\u00e2neo). O Lean cuida do motor metab\u00f3lico (BMR sobre gordura corporal real, NEAT, EAT, TEF, adapta\u00e7\u00e3o), o Lifesum te traz a diversidade culin\u00e1ria e o acompanhamento diet\u00e9tico. As bases s\u00e3o diferentes (USDA + OpenFoodFacts no Lean, base propriet\u00e1ria no Lifesum), portanto o esfor\u00e7o de entrada dupla \u00e9 real: \u00e9 um trade-off a decidir segundo suas prioridades.<\/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\">12 &middot; Conclus\u00e3o<\/span><\/div>\n  <h2 id=\"conclu\">1990 diante de 2026<\/h2>\n  <p>N\u00e3o \u00e9 Lifesum contra Lean em marketing. \u00c9 o inv\u00f3lucro diet\u00e9tico premium diante da precis\u00e3o do TDEE, duas promessas diferentes.<\/p>\n  <p>O Lifesum continua sendo um dos melhores apps de consumo para os planos de dieta, as receitas e a qualidade da UX. Mas para o seu TDEE, o Lifesum usa Mifflin-St Jeor 1990 sem gordura corporal medida no app, mais um fator de atividade congelado que voc\u00ea marca uma \u00fanica vez no cadastro (sedentary, low active, regular, active, very active), e ignora a adapta\u00e7\u00e3o metab\u00f3lica. A combina\u00e7\u00e3o dos tr\u00eas torna qualquer acompanhamento cal\u00f3rico preciso imposs\u00edvel al\u00e9m de algumas semanas de cutting. \u00c9 matem\u00e1tico.<\/p>\n  <p>O Lean foi constru\u00eddo para fazer exatamente o inverso: BMR baseado na <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">gordura corporal real<\/a> (medido por BodyScan IA) via um modelo propriet\u00e1rio patenteado, <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT por passos reais<\/a>, EAT por esporte e MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF por macros<\/a>, mais a adapta\u00e7\u00e3o metab\u00f3lica que modula o BMR semana ap\u00f3s semana. Cada componente calculado com precis\u00e3o, sem coeficiente m\u00e1gico.<\/p>\n  <p>O Lifesum continua muito s\u00f3lido nos planos de dieta, nas receitas e na pedagogia nutricional. Se voc\u00ea tentou o Lifesum a s\u00e9rio e n\u00e3o teve os resultados que esperava no seu cutting, o problema n\u00e3o \u00e9 voc\u00ea, nem o Lifesum na sua promessa diet\u00e9tica. O problema \u00e9 o TDEE congelado debaixo do cap\u00f4. Mude o motor, mantenha a inspira\u00e7\u00e3o culin\u00e1ria em paralelo se precisar.<\/p>\n<\/section>\n\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>A Lean pode ser baixada gratuitamente<\/h3>\n  <p>iOS e Android. O BodyScan IA funciona com uma simples foto. Sem adip\u00f4metro, sem balan\u00e7a de bioimped\u00e2ncia, sem DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/>\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\/tdee-calculator\/\">Calculadora TDEE gratuita online<\/a> &middot; vers\u00e3o web, sem cadastro, mesma l\u00f3gica do app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Entender o TDEE em detalhe (BMR, NEAT, EAT, TEF, adapta\u00e7\u00e3o)<\/a> &middot; artigo cient\u00edfico de fundo.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">Como contar suas calorias corretamente<\/a> &middot; guia pr\u00e1tico para iniciantes.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT&nbsp;: gasto por passos e atividade fora do esporte<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF&nbsp;: a digest\u00e3o queima calorias<\/a>.<\/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.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Katch V.L., McArdle W.D. (1973). Prediction of body density from simple anthropometric measurements in college-age men and women. Human Biology.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n    <li>Schakel S.F., Sievert Y.A., Buzzard I.M. (1988). Sources of data for developing and maintaining a nutrient database (NCCDB). Journal of the American Dietetic Association.<\/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>Artigo publicado em 23 de maio de 2026. 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\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script>\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:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\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    var src = subMap[sub]; if(!src) 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(){\n  if (typeof Chart === 'undefined') return;\n  \/\/ v6 anti-overflow helper: preserve designer intent + strict clamp inside chartArea\n  function xAdj(xv, halfW, baseAdj){\n    return function(c){\n      var s = c.chart.scales.x;\n      if(!s || !c.chart.chartArea) return (baseAdj != null ? baseAdj : 0);\n      var area = c.chart.chartArea;\n      var px = s.getPixelForValue(xv);\n      var hw = halfW || 60;\n      var base = (baseAdj != null) ? baseAdj : 0;\n      var center = px + base;\n      var minC = area.left + hw + 4;\n      var maxC = area.right - hw - 4;\n      if(maxC < minC){ var mid = (area.left + area.right) \/ 2; return mid - px; }\n      if(center < minC) center = minC;\n      if(center > maxC) center = maxC;\n      return center - px;\n    };\n  }\nvar PINK = '#FF2D6E';\n  var LIFE = '#27B5A3';\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 Lifesum (2500) au sommet de la barre Lean (2000) pour le chart BMR\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);   \/\/ segment horizontal en haut de la barre Lifesum\n      ctx.moveTo(x2, y1);\n      ctx.lineTo(x2, y2);   \/\/ segment vertical jusqu'au sommet de la barre Lean\n      ctx.stroke();\n      ctx.restore();\n    }\n  };\n\n  var lazy = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      var id = e.target.id;\n      if (id === 'chartBMR')   buildBMR();\n      if (id === 'chartNEAT')  buildNEAT();\n      if (id === 'chartAdapt') buildAdapt();\n      lazy.unobserve(e.target);\n    });\n  }, {threshold:0.2});\n  ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n    var el = document.getElementById(id);\n    if (el) lazy.observe(el);\n  });\n\n  \/\/ Animation des barres horizontales scorecard\n  var scoreObs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      e.target.querySelectorAll('.bar .b > i').forEach(function(i){\n        var w = i.style.width;\n        i.style.width = '0%';\n        requestAnimationFrame(function(){ requestAnimationFrame(function(){ i.style.width = w; }); });\n      });\n      scoreObs.unobserve(e.target);\n    });\n  }, {threshold:0.25});\n  document.querySelectorAll('.scorecard').forEach(function(n){ scoreObs.observe(n); });\n\n  function fmt(n){return 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: ['LIFESUM \u00b7 Mifflin-St Jeor\\n1990', 'LEAN \u00b7 Brevet\u00e9\\nsur bodyfat r\u00e9el'],\n        datasets: [{\n          data: [2500, 2000],\n          backgroundColor: [LIFE, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:80, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblLIFE:{type:'label',xValue:0,yValue:2670,content:['2 500'],font:{family:'-apple-system',size:24,weight:'700'},color:INK},\n              lblLEAN:{type:'label',xValue:1,yValue:2170,content:['2 000'],font:{family:'-apple-system',size:24,weight:'700'},color:PINK,xAdjust:18,yAdjust:-2},\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},yAdjust:0}\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 = ['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'];\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:'Lean \u00b7 d\u00e9pense r\u00e9elle',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:'Lifesum \u00b7 objectif fixe 2 400 kcal',data:[2400,2400,2400,2400,2400,2400,2400],borderColor:LIFE,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false,\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:xAdj(5,58,-28)},\n            peakJeu:{type:'label',xValue:3,yValue:2950,content:['Footing + bureau debout'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:10,padding:{x:9,y:5}},\n            dipDim:{type:'label',xValue:6,yValue:1620,content:['Canap\u00e9 Netflix','\u2212600 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:'#5a5a5e',borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(6,52,-42)},\n            lifeTag:{type:'label',xValue:0.55,yValue:2510,content:['Lifesum fixe : 2 400'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:LIFE,borderRadius:10,padding:{x:9,y:4},xAdjust:xAdj(0.55,68,0)}\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 = ['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'];\n    var lean = [2500, 2470, 2420, 2350, 2280, 2230, 2180, 2150];\n    var life = [2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:'Lean \u00b7 TDEE r\u00e9elle adapt\u00e9e',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:'Lifesum \u00b7 objectif fig\u00e9',data:life,borderColor:LIFE,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false,\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:5.6,yValue:2100,content:['\u221214 % adaptation','Vous arr\u00eatez de perdre'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(5.6,72,-95)},\n            lifeStill:{type:'label',xValue:0.7,yValue:2570,content:['Lifesum : 2 500 fig\u00e9'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:LIFE,borderRadius:10,padding:{x:9,y:4},xAdjust:xAdj(0.7,68,0)},\n            start:{type:'label',xValue:0,yValue:2630,content:['2 500'],font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:xAdj(0,22,22)},\n            end:{type:'label',xValue:7,yValue:2080,content:['2 150'],font:{family:'-apple-system',size:14,weight:'700'},color:PINK,xAdjust:xAdj(7,22,-22)}\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>\n\n<\/div>\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\/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><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\/comparatifs-croises\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">MyFitnessPal ou Yazio? 12 duelos de apps de calorias comparados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">O veredito de cada duelo de relance: quem ganha em qu\u00ea, e o que nenhum dos dois calcula.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Melhores aplicativos para contar calorias em 2026: 8 apps testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Qual alternativa ao MyFitnessPal em 2026? 5 apps testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comparativo honesto, precis\u00e3o do TDEE, ergonomia.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Todos os comparativos do Lean frente aos grandes apps de calorias <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean frente ao MyFitnessPal: a f\u00f3rmula TDEE que muda tudo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Por que o MFP erra no seu gasto cal\u00f3rico real.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean contra o Foodvisor: pioneiro do scan de fotos vs gasto real <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">O Foodvisor v\u00ea o seu prato. O Lean recomp\u00f5e o seu TDEE continuamente.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Lifesum Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Lifesum. Le wrapping di\u00e9t\u00e9tique premium face au seul qui recompose ton TDEE en continu. Lifesum vend du coaching di\u00e8te. Lean voit ta d\u00e9pense r\u00e9elle. Deux promesses qui ne jouent pas sur le m\u00eame terrain. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1407","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs Lifesum: design ou precis\u00e3o do c\u00e1lculo? - Lean<\/title>\n<meta name=\"description\" content=\"Lifesum conquista pela interface e pelos planos de refei\u00e7\u00f5es, Lean pela precis\u00e3o do TDEE com base na gordura corporal real. Comparativo honesto\" \/>\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\/lean-vs-lifesum\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs Lifesum: design ou precis\u00e3o do c\u00e1lculo? - Lean\" \/>\n<meta property=\"og:description\" content=\"O Lifesum caprich\u0430 na experi\u00eancia e nas receitas, o Lean na precis\u00e3o metab\u00f3lica. Interface, c\u00e1lculo do TDEE, pre\u00e7o: o comparativo completo para escolher pelo que voc\u00ea precisa.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/pt\/lean-vs-lifesum\/\" \/>\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=\"2026-05-24T14:43:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T18:18:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\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=\"27 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Lean face \u00e0 Lifesum : coaching di\u00e8te premium face \u00e0 la pr\u00e9cision TDEE\",\"datePublished\":\"2026-05-24T14:43:07+00:00\",\"dateModified\":\"2026-09-08T18:18:15+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/\"},\"wordCount\":5730,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-lifesum\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/\",\"url\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/\",\"name\":\"Lean vs Lifesum : design ou pr\u00e9cision du calcul ? - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-05-24T14:43:07+00:00\",\"dateModified\":\"2026-09-08T18:18:15+00:00\",\"description\":\"Lifesum s\u00e9duit par son interface et ses plans repas, Lean par la pr\u00e9cision du TDEE sur masse grasse r\u00e9elle. Comparatif honn\u00eate, forces et faiblesses.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-lifesum\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-lifesum\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean face \u00e0 Lifesum : coaching di\u00e8te premium face \u00e0 la pr\u00e9cision TDEE\"}]},{\"@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":"Lean vs Lifesum: design ou precis\u00e3o do c\u00e1lculo? - Lean","description":"Lifesum conquista pela interface e pelos planos de refei\u00e7\u00f5es, Lean pela precis\u00e3o do TDEE com base na gordura corporal real. Comparativo honesto","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\/lean-vs-lifesum\/","og_locale":"pt_BR","og_type":"article","og_title":"Lean vs Lifesum: design ou precis\u00e3o do c\u00e1lculo? - Lean","og_description":"O Lifesum caprich\u0430 na experi\u00eancia e nas receitas, o Lean na precis\u00e3o metab\u00f3lica. Interface, c\u00e1lculo do TDEE, pre\u00e7o: o comparativo completo para escolher pelo que voc\u00ea precisa.","og_url":"https:\/\/lean-app.com\/pt\/lean-vs-lifesum\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-24T14:43:07+00:00","article_modified_time":"2026-09-08T18:18:15+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"27 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Lean face \u00e0 Lifesum : coaching di\u00e8te premium face \u00e0 la pr\u00e9cision TDEE","datePublished":"2026-05-24T14:43:07+00:00","dateModified":"2026-09-08T18:18:15+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/"},"wordCount":5730,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"pt-BR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/lean-vs-lifesum\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/","url":"https:\/\/lean-app.com\/lean-vs-lifesum\/","name":"Lean vs Lifesum: design ou precis\u00e3o do c\u00e1lculo? - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-05-24T14:43:07+00:00","dateModified":"2026-09-08T18:18:15+00:00","description":"Lifesum conquista pela interface e pelos planos de refei\u00e7\u00f5es, Lean pela precis\u00e3o do TDEE com base na gordura corporal real. Comparativo honesto","breadcrumb":{"@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/lean-vs-lifesum\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/lean-vs-lifesum\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Lean face \u00e0 Lifesum : coaching di\u00e8te premium face \u00e0 la pr\u00e9cision TDEE"}]},{"@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\/1407","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=1407"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/posts\/1407\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/media?parent=1407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/categories?post=1407"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/pt\/wp-json\/wp\/v2\/tags?post=1407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}