{"id":286,"date":"2025-07-09T14:02:07","date_gmt":"2025-07-09T14:02:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=286"},"modified":"2026-09-08T18:17:38","modified_gmt":"2026-09-08T18:17:38","slug":"eat","status":"publish","type":"post","link":"https:\/\/lean-app.com\/es\/eat\/","title":{"rendered":"EAT"},"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<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-286 #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-286 #lvm-shell .wrap,\nbody.postid-286 #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-286 #lvm-shell .wrap,\n  body.postid-286 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-286 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-286 #lvm-shell *{max-width:100%}\nbody.postid-286 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-286 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-286 #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-286 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-286 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-286 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-286 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-286 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-286 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-286 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-286 #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-286 #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-286 #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-286 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-286 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-286 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-286 #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-286 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-286 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-286 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-286 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-286 #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-286 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-286 #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-286 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-286 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-286 #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-286 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-286 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-286 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-286 #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-286 #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-286 #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-286 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-286 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-286 #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-286 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-286 #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-286 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-286 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-286 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-286 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-286 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-286 #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-286 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-286 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-286 #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-286 #lvm-shell .table{border-radius:14px!important}\n  body.postid-286 #lvm-shell .table-row.head{display:none!important}\n  body.postid-286 #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-286 #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-286 #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-286 #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-286 #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-286 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!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:#E15822!important;\n  }\n  body.postid-286 #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-286 #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-286 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-286 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-286 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-286 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-286 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-286 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-286 #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-286 #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-286 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-286 #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-286 #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-286 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-286 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-286 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-286 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-286 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-286 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-286 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n<script type=\"application\/ld+json\">\n{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"L'EAT, est-ce la m\u00eame chose que \\\"br\u00fbler des calories pendant le sport\\\" ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Oui, c'est la traduction directe. EAT (Exercise Activity Thermogenesis) d\u00e9signe pr\u00e9cis\u00e9ment la d\u00e9pense calorique additionnelle li\u00e9e aux s\u00e9ances de sport planifi\u00e9es. C'est l'un des quatre postes du TDEE, aux c\u00f4t\u00e9s du BMR (repos), du NEAT (activit\u00e9 quotidienne hors sport) et du TEF (digestion).\"}},{\"@type\":\"Question\",\"name\":\"Pourquoi mon Apple Watch surestime-t-elle syst\u00e9matiquement l'EAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Trois raisons. Premi\u00e8rement, l'Apple Watch utilise ta fr\u00e9quence cardiaque pour estimer l'effort, et la FC peut monter pour des raisons non-musculaires (chaleur, caf\u00e9, stress). Deuxi\u00e8mement, l'acc\u00e9l\u00e9rom\u00e8tre ne distingue pas un mouvement utile d'un mouvement parasite. Troisi\u00e8mement, quand tu d\u00e9clenches musculation 60 minutes, l'app compte les 60 minutes comme effort continu, alors que la moiti\u00e9 est en r\u00e9cup\u00e9ration entre s\u00e9ries. L'\u00e9tude Stanford 2017 a mesur\u00e9 27 \u00e0 93 % d'erreur moyenne sur les sept capteurs majeurs test\u00e9s.\"}},{\"@type\":\"Question\",\"name\":\"L'EAT inclut-elle la musculation, ou uniquement le cardio ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"L'EAT inclut toutes les s\u00e9ances de sport planifi\u00e9es, musculation comprise. La musculation a un MET plus faible que le cardio (3 \u00e0 5 MET selon l'intensit\u00e9, contre 8 \u00e0 12 MET pour la course) parce que l'effort est intermittent et que la fr\u00e9quence cardiaque moyenne reste mod\u00e9r\u00e9e. Mais elle d\u00e9veloppe la masse musculaire, ce qui augmente le BMR sur le long terme.\"}},{\"@type\":\"Question\",\"name\":\"Quelle est la diff\u00e9rence entre EAT et NEAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"L'EAT est la d\u00e9pense des s\u00e9ances de sport planifi\u00e9es (cr\u00e9neau d\u00e9di\u00e9, intention explicite). Le NEAT est la d\u00e9pense de tout le reste : marche pour les courses, escaliers, posture debout, gestes quotidiens. Le NEAT p\u00e8se souvent plus lourd que l'EAT dans le TDEE total (15 \u00e0 20 % contre 5 \u00e0 15 %).\"}},{\"@type\":\"Question\",\"name\":\"L'EPOC (after-burn) doit-il \u00eatre compt\u00e9 dans l'EAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"L'EPOC (Excess Post-exercise Oxygen Consumption) est la d\u00e9pense r\u00e9siduelle apr\u00e8s la s\u00e9ance, le temps que ton corps reconstitue glycog\u00e8ne, oxyg\u00e8ne et thermor\u00e9gulation. Il ajoute 5 \u00e0 15 % \u00e0 la d\u00e9pense de la s\u00e9ance elle-m\u00eame selon l'intensit\u00e9. Les tables MET s\u00e9rieuses (Compendium of Physical Activities) int\u00e8grent d\u00e9j\u00e0 cet effet sur les estimations standard.\"}},{\"@type\":\"Question\",\"name\":\"Combien de s\u00e9ances par semaine faut-il pour faire bouger l'EAT significativement ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Avec 3 \u00e0 5 s\u00e9ances de 45 minutes effectives par semaine, l'EAT repr\u00e9sente environ 5 \u00e0 10 % du TDEE chez un adulte actif moyen. En dessous de 3 s\u00e9ances, l'EAT devient n\u00e9gligeable face au BMR et au NEAT.\"}}]}]}\n<\/script>\n\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/es\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/es\/\">Inicio<\/a>\n  <div class=\"nav-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" target=\"_blank\" rel=\"noopener\" aria-label=\"App Store\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" target=\"_blank\" rel=\"noopener\" aria-label=\"Google Play\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\"><\/a>\n  <\/div>\n<\/div><\/nav>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; EAT<\/div>\n  <div class=\"eyebrow\">Pilar &middot; Gasto cal\u00f3rico &amp; TDEE<\/div>\n  <h1 id=\"title\">EAT, el gasto cal\u00f3rico del ejercicio explicado.\n    <span class=\"alt\">La \u00fanica partida del TDEE que puedes decidir aumentar, y la que los wearables miden peor.<\/span>\n  <\/h1>\n  <p class=\"dek\">Cu\u00e1ntas calor\u00edas te cuesta realmente tu deporte, por qu\u00e9 tu reloj te miente, y c\u00f3mo Lean modeliza el EAT a partir de tu sesi\u00f3n registrada, no de una media gen\u00e9rica.<\/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>El equipo Lean<\/strong> &middot; 11&nbsp;min de lectura &middot; Actualizado el 26 de mayo de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" 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?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" 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\">Descarga gratuita<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      El EAT (Exercise Activity Thermogenesis) es la parte de tu TDEE que corresponde a las calor\u00edas quemadas durante tus sesiones de deporte planificadas. Es la partida m\u00e1s visible, pero tambi\u00e9n la peor medida: los wearables de consumo se equivocan de media entre un 27 y un 93&nbsp;% en el gasto del ejercicio (Stanford, 2017). Y es tambi\u00e9n la partida m\u00e1s peque\u00f1a para la mayor\u00eda de la gente, en torno al 5 al 15&nbsp;% del TDEE en un adulto activo normal, frente al 60 al 70&nbsp;% del BMR.\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>Demostraci\u00f3n interactiva<\/small>Toca la pantalla para explorar la aplicaci\u00f3n<\/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>Demostraci\u00f3n interactiva<\/small>Toca la pantalla<br>para explorar la aplicaci\u00f3n<\/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=\"Vista general de la aplicaci\u00f3n Lean con desglose del TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista Lean, pesta\u00f1a 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=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar por la aplicaci\u00f3n Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Respuesta r\u00e1pida<\/div>\n    <p>El EAT es el gasto cal\u00f3rico de tus sesiones de deporte. Depende de cuatro cosas: <span data-term=\"EAT\">la duraci\u00f3n real del esfuerzo<span class=\"tt\">No el tiempo pasado en el gimnasio, el tiempo real de contracci\u00f3n muscular.<\/span><\/span>, la intensidad (medida en MET, Metabolic Equivalent of Task), tu masa corporal y tu econom\u00eda de movimiento (un corredor entrenado quema menos que un principiante al mismo ritmo). Los wearables sobreestiman el EAT porque cuentan los tiempos de descanso como esfuerzo. Lean modeliza el EAT a partir de tablas MET validadas y de tu BMR personalizado sobre grasa corporal real, sin sesgo de wearable.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"def\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Definici\u00f3n<\/span><\/div>\n  <h2 id=\"def\">EAT, la E del puzle cal\u00f3rico diario<\/h2>\n  <p>Tu cuerpo quema calor\u00edas permanentemente, incluso inm\u00f3vil. La suma de todo ese gasto en 24&nbsp;horas se llama <a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/depense-energetique-totale-v2\/\">TDEE<\/a> (Total Daily Energy Expenditure). Se divide en cuatro ladrillos bien distintos, cada uno con su propia fisiolog\u00eda y su propio m\u00e9todo de c\u00e1lculo. El EAT es uno de ellos.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">TDEE = BMR + NEAT + EAT + TEF<\/div>\n    <div class=\"lbl\">La ecuaci\u00f3n can\u00f3nica. <a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/metabolisme-de-base\/\">BMR<\/a> = metabolismo basal. <a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/neat-depense-non-sportive\/\">NEAT<\/a> = actividad fuera del deporte. EAT = sesiones de deporte planificadas. <a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/effet-thermique-des-aliments\/\">TEF<\/a> = digesti\u00f3n de los alimentos.<\/div>\n  <\/div>\n\n  <p>El EAT es precisamente la parte ligada al <strong>ejercicio planificado<\/strong> : una sesi\u00f3n de musculaci\u00f3n, un footing, una hora de tenis, bici, yoga. Lo que sale del d\u00eda a d\u00eda involuntario y lo que se separa del reposo. Todo lo que mueves adem\u00e1s de lo estrictamente necesario del d\u00eda cae aqu\u00ed.<\/p>\n\n  <p>La diferencia con el NEAT es clara: caminar hasta el metro, subir una escalera, estar de pie ante tu escritorio, eso no es EAT, es NEAT. El EAT empieza cuando decides conscientemente \u00abhago deporte\u00bb y reservas un hueco en tu agenda para ello. Es esa distinci\u00f3n la que hace que el EAT sea a la vez f\u00e1cil de motivar mentalmente y dif\u00edcil de medir correctamente.<\/p>\n<\/section>\n\n<section aria-labelledby=\"physio\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Fisiolog\u00eda<\/span><\/div>\n  <h2 id=\"physio\">Lo que pasa cuando te mueves<\/h2>\n  <p>Durante un esfuerzo, tus m\u00fasculos consumen ATP a un ritmo acelerado. Para reconstituir ese ATP, tu cuerpo moviliza tres v\u00edas energ\u00e9ticas: la v\u00eda anaer\u00f3bica al\u00e1ctica (muy corta, explosiva), la v\u00eda anaer\u00f3bica l\u00e1ctica (esfuerzos intensos de hasta 2&nbsp;minutos) y la v\u00eda aer\u00f3bica (m\u00e1s all\u00e1, oxidaci\u00f3n de los carbohidratos y luego de las grasas). La mezcla exacta depende de la intensidad y de la duraci\u00f3n.<\/p>\n\n  <p>Todo ese proceso consume ox\u00edgeno y libera calor. La calorimetr\u00eda indirecta mide ese consumo de ox\u00edgeno (VO2) y lo convierte en kilocalor\u00edas. Es la referencia cient\u00edfica para cuantificar el EAT, y tambi\u00e9n la base de las tablas MET que se usan en la vida real.<\/p>\n\n  <p>M\u00e1s all\u00e1 de la sesi\u00f3n en s\u00ed, hay un efecto retardado llamado <strong>EPOC<\/strong> (Excess Post-exercise Oxygen Consumption). Durante varias horas despu\u00e9s de un esfuerzo intenso, tu metabolismo se mantiene elevado para reparar las microlesiones musculares, reconstituir las reservas de gluc\u00f3geno y restablecer la homeostasis. El EPOC a\u00f1ade del 5 al 15&nbsp;% al gasto de la propia sesi\u00f3n, m\u00e1s tras un HIIT, poco tras una caminata tranquila.<\/p>\n\n  <p>Consecuencia pr\u00e1ctica: la misma hora de deporte puede costar 200&nbsp;kcal o 700&nbsp;kcal seg\u00fan la v\u00eda solicitada, la masa muscular implicada y la intensidad. Por eso una \u00fanica cifra gen\u00e9rica \u00ab1 hora de deporte = X kcal\u00bb no tiene ning\u00fan sentido.<\/p>\n<\/section>\n\n<section aria-labelledby=\"mesure\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Medici\u00f3n<\/span><\/div>\n  <h2 id=\"mesure\">Lo que funciona y lo que no para medir el EAT<\/h2>\n  <p>Coexisten tres grandes familias de m\u00e9todos. Una es precisa e inaccesible. Una es rigurosa y utilizable. Una es pr\u00e1ctica y enga\u00f1osa.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\">\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\">\n      <div class=\"kicker\" style=\"color:#0F8F5C;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Referencia de laboratorio<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Calorimetr\u00eda indirecta<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Mide el consumo de O2 y la producci\u00f3n de CO2 mediante una m\u00e1scara. Precisi\u00f3n casi perfecta, margen de error inferior al 3&nbsp;%. Reservada a los laboratorios de fisiolog\u00eda, a los atletas de alto nivel y a la investigaci\u00f3n. Sin uso para el gran p\u00fablico.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\">\n      <div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">M\u00e9todo pragm\u00e1tico<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Tablas MET (Compendium of Physical Activities)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Cada actividad tiene un coeficiente MET validado (1 MET = reposo, 8 MET = footing a 10&nbsp;km\/h, 6 MET = tenis, 3 a 5 MET = musculaci\u00f3n moderada). Combinado con tu BMR sobre grasa corporal real, obtienes una estimaci\u00f3n honesta del gasto por minuto. Es el enfoque que utiliza Lean.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #D02E2E\">\n      <div class=\"kicker\" style=\"color:#D02E2E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">M\u00e9todo enga\u00f1oso<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Wearables de consumo (Apple Watch, Garmin, Fitbit)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Algoritmos propietarios basados en la frecuencia card\u00edaca + aceler\u00f3metro. Estudio de Stanford 2017 sobre 7 sensores principales: el mejor se equivoc\u00f3 un 27&nbsp;% de media, el peor un 93&nbsp;% en el gasto del ejercicio. Las pausas entre series se cuentan como deporte intenso.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">27 a 93&nbsp;%<\/div>\n    <div class=\"lbl\">de error medio medido en el gasto del ejercicio por los siete wearables de consumo probados en Stanford en 2017. Ninguno pas\u00f3 la barrera del 20&nbsp;% de error, que sin embargo es el est\u00e1ndar en fisiolog\u00eda del deporte.<\/div>\n  <\/div>\n\n  <p>El problema de los wearables no es el hardware, es la f\u00f3rmula. La frecuencia card\u00edaca puede subir por razones no musculares (estr\u00e9s, caf\u00e9, calor, deshidrataci\u00f3n). Y el aceler\u00f3metro no distingue un movimiento \u00ab\u00fatil\u00bb de un movimiento par\u00e1sito. Lean toma voluntariamente el partido opuesto: declaras tu sesi\u00f3n y su duraci\u00f3n efectiva, y la app calcula a partir del MET real + tu metabolismo personalizado.<\/p>\n<\/section>\n\n<section aria-labelledby=\"det\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Determinantes<\/span><\/div>\n  <h2 id=\"det\">Las cuatro palancas que hacen variar el EAT<\/h2>\n  <p>Para una misma sesi\u00f3n mostrada como \u00ab1 hora de deporte\u00bb, el gasto real var\u00eda en un factor de 1 a 3 entre dos personas. Cuatro par\u00e1metros explican lo esencial de esa diferencia.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\">\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #E84D44\">\n      <div class=\"kicker\" style=\"color:#E84D44;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Palanca 1<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Duraci\u00f3n real del esfuerzo<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">90&nbsp;minutos en el gimnasio no significan 90&nbsp;minutos de musculaci\u00f3n. La mayor parte del tiempo es recuperaci\u00f3n entre series. Cuenta el tiempo efectivo bajo tensi\u00f3n: t\u00edpicamente de 30 a 45&nbsp;minutos de 90 en la sala de pesas, 20&nbsp;minutos de carrera de 60 en un partido de tenis recreativo.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #E84D44\">\n      <div class=\"kicker\" style=\"color:#E84D44;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Palanca 2<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Intensidad (MET)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Yoga suave: 2,5 MET. Bici recreativa: 4 MET. Musculaci\u00f3n moderada: 3,5 MET. Footing a 10&nbsp;km\/h: 10 MET. Sprint por intervalos: 12 a 16 MET. La intensidad condiciona directamente las kcal por minuto, y es medible.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #E84D44\">\n      <div class=\"kicker\" style=\"color:#E84D44;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Palanca 3<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Masa corporal<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Una persona de 95&nbsp;kg quema alrededor de un 35&nbsp;% m\u00e1s que una persona de 65&nbsp;kg para la misma actividad (f\u00f3rmula MET: kcal\/min = MET \u00d7 peso&nbsp;kg \u00d7 0,0175). Ignorar la masa es equivocarse en un tercio de entrada.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #E84D44\">\n      <div class=\"kicker\" style=\"color:#E84D44;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Palanca 4<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Econom\u00eda de movimiento<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Un corredor entrenado consume entre un 10 y un 20&nbsp;% menos de energ\u00eda que un principiante al mismo ritmo, gracias a una t\u00e9cnica m\u00e1s eficiente. Las tablas MET no capturan esta dimensi\u00f3n. Tu MET real disminuye con el entrenamiento.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>Conclusi\u00f3n pr\u00e1ctica: un hombre de 90&nbsp;kg que hace 45&nbsp;minutos efectivos de musculaci\u00f3n a 4 MET quema unas 280&nbsp;kcal de EAT. El mismo hombre entrenado hace 60&nbsp;minutos de footing a 10&nbsp;km\/h a 10 MET y quema 945&nbsp;kcal. Para una mujer de 60&nbsp;kg en la misma sesi\u00f3n de footing: 630&nbsp;kcal. Son \u00f3rdenes de magnitud, no promesas al gramo.<\/p>\n\n  <div class=\"eat-duo\" style=\"display:flex;gap:18px;justify-content:center;align-items:flex-start;flex-wrap:nowrap;margin:28px 0 8px\">\n    <figure style=\"flex:1;max-width:180px;margin:0;text-align:center\">\n      <img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/enregistrer-seance-aviron-cardio-lean-app-506x1024.png\" alt=\"Seance aviron tracee dans Lean\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\">\n      <figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Palanca duraci\u00f3n. MET estable, esfuerzo largo.<\/figcaption>\n    <\/figure>\n    <figure style=\"flex:1;max-width:180px;margin:0;text-align:center\">\n      <img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/enregistrer-seance-musculation-intensite-lean-app-520x1024.png\" alt=\"Seance musculation tracee dans Lean\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\">\n      <figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Palanca intensidad. MET real, no la duraci\u00f3n mostrada.<\/figcaption>\n    <\/figure>\n  <\/div>\n\n<\/section>\n\n<section aria-labelledby=\"tdee\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Contribuci\u00f3n al TDEE<\/span><\/div>\n  <h2 id=\"tdee\">El EAT pesa menos de lo que crees<\/h2>\n  <p>Es probablemente el resultado m\u00e1s contraintuitivo de la fisiolog\u00eda del gasto cal\u00f3rico: el EAT, la partida en la que todo el mundo piensa primero cuando se habla de \u00abquemar calor\u00edas\u00bb, es en realidad la partida m\u00e1s peque\u00f1a del TDEE en la mayor\u00eda de la gente.<\/p>\n\n  <p>Orden de magnitud en un d\u00eda completo, para un hombre de 80&nbsp;kg moderadamente activo:<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\">\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FA256C\">\n      <h3 style=\"margin:0 0 6px;font-size:17px\">BMR<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Unas 1&nbsp;750&nbsp;kcal\/d\u00eda, es decir, <strong>del 60 al 70&nbsp;%<\/strong> del TDEE. Es lo que tu cuerpo quema en reposo para hacer funcionar cerebro, h\u00edgado, coraz\u00f3n, ri\u00f1ones. Modulado por tu grasa corporal real en Lean.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF8C00\">\n      <h3 style=\"margin:0 0 6px;font-size:17px\">NEAT<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Unas 400&nbsp;kcal\/d\u00eda por 10&nbsp;000 pasos, es decir, <strong>del 15 al 20&nbsp;%<\/strong> del TDEE. Pasos, postura de pie, gestos cotidianos. Aqu\u00ed se esconde la gran palanca ignorada por las apps cl\u00e1sicas.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #E84D44\">\n      <h3 style=\"margin:0 0 6px;font-size:17px\">EAT<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Unas 250&nbsp;kcal\/d\u00eda con 4 sesiones por semana de 45&nbsp;minutos, es decir, <strong>del 5 al 10&nbsp;%<\/strong> del TDEE. En los atletas de alto nivel, esta partida puede subir al 20 al 30&nbsp;%.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #4CAF50\">\n      <h3 style=\"margin:0 0 6px;font-size:17px\">TEF<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Unas 250&nbsp;kcal\/d\u00eda, es decir, <strong>alrededor del 10&nbsp;%<\/strong> del TDEE. Energ\u00eda consumida para digerir. Las prote\u00ednas cuestan un 25&nbsp;%, los carbohidratos un 8&nbsp;%, las grasas un 3&nbsp;%.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">5 a 15&nbsp;%<\/div>\n    <div class=\"lbl\">la horquilla t\u00edpica de la contribuci\u00f3n del EAT al TDEE en un adulto activo. Es menos que la caminata diaria (NEAT) en la mayor\u00eda de las personas. Realidad contraintuitiva, pero documentada.<\/div>\n  <\/div>\n\n  <p>Consecuencia estrat\u00e9gica: a\u00f1adir 3&nbsp;000 pasos al d\u00eda (unas 120&nbsp;kcal m\u00e1s de NEAT) durante una semana suele hacer m\u00e1s que a\u00f1adir una sesi\u00f3n de deporte semanal. No es una raz\u00f3n para dejar el deporte (la salud cardiovascular y la masa muscular dependen del EAT), pero s\u00ed una raz\u00f3n para no apoyarse \u00fanicamente en \u00e9l en una l\u00f3gica de p\u00e9rdida de grasa.<\/p>\n<\/section>\n\n\n\n<section aria-labelledby=\"vs-yazio\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05B &middot; Lean frente a Yazio en el EAT<\/span><\/div>\n  <h2 id=\"vs-yazio\">Lean frente a Yazio en el EAT: el delta &times;10<\/h2>\n\n  <p>La mayor\u00eda de los trackers inflan el EAT. Yazio ilustra el problema: para una sesi\u00f3n de musculaci\u00f3n de 60&nbsp;minutos, la app muestra casi 2&nbsp;000&nbsp;kcal quemadas. Es fisiol\u00f3gicamente imposible para un humano que no es ni ciclista profesional ni ultratrailer.<\/p>\n\n  <div class=\"statement\" style=\"background:#FFF;border-left:4px solid #E84D44;padding:18px 22px;margin:22px 0;border-radius:0 12px 12px 0;font-size:17px;line-height:1.55\">\n    Una hora de musculaci\u00f3n para un hombre de 75 a 90&nbsp;kg: de 180 a 300&nbsp;kcal de EAT real seg\u00fan la intensidad. No 1&nbsp;986. El factor de error de 7 a 10 es la causa n\u00famero uno de fracaso en d\u00e9ficit cal\u00f3rico: comes 1&nbsp;500&nbsp;kcal pensando compensar una sesi\u00f3n que cost\u00f3 200&nbsp;kcal.\n  <\/div>\n\n  <div class=\"eat-vs\" style=\"display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:14px;max-width:360px;margin:22px auto;align-items:start\">\n\n    <figure style=\"margin:0;text-align:center;min-width:0\">\n      <img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/surestimation-calories-musculation-application-yazio-504x1024.png\" alt=\"Capture Yazio musculation 60 min\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\">\n      <figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\"><strong style=\"color:#E84D44\">Yazio: 1&nbsp;986&nbsp;kcal anunciadas.<\/strong><br>60 min de musculaci\u00f3n sobreestimados &times;10.<\/figcaption>\n    <\/figure>\n\n    <figure style=\"margin:0;text-align:center;min-width:0\">\n      <img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/focus-depense-exercices-eat-lean-app-546x1024.png\" alt=\"Ecran Depense Calorique Lean, EAT 220 kcal\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\">\n      <figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\"><strong style=\"color:#4FD1C5\">Lean: 220&nbsp;kcal para la sesi\u00f3n.<\/strong><br>MET Ainsworth 2011, BMR sobre grasa corporal.<\/figcaption>\n    <\/figure>\n\n  <\/div>\n\n  <p style=\"font-size:13px;color:#6E6E73;margin-top:14px;line-height:1.55\"><strong>Fuente MET musculaci\u00f3n:<\/strong> Ainsworth BE et al., <em>2011 Compendium of Physical Activities<\/em>, Med Sci Sports Exerc, 2011; 43(8): 1575 a 1581. MET musculaci\u00f3n general = 3,5 a 6,0 seg\u00fan la intensidad. C\u00e1lculo: kcal\/min = MET &times; 3,5 &times; peso(kg) \/ 200.<\/p>\n\n  <p>Lo que est\u00e1 en juego no es minimizar tu esfuerzo, es evitarte comer una comida de m\u00e1s por ilusi\u00f3n compensatoria. La precisi\u00f3n en el EAT es la condici\u00f3n silenciosa de todo \u00e9xito en d\u00e9ficit.<\/p>\n<\/section>\n\n<section aria-labelledby=\"lean\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; C\u00f3mo Lean registra tu EAT<\/span><\/div>\n  <h2 id=\"lean\">El pipeline Lean: BodyScan, BMR patentado, MET, adaptaci\u00f3n<\/h2>\n  <p>Lean es la app que mejor calcula el EAT por una raz\u00f3n simple: su EAT se apoya en un BMR personalizado sobre tu grasa corporal real, no en una ecuaci\u00f3n de 1990 tomada sobre tu peso bruto. Cuatro etapas en cadena:<\/p>\n\n  <div class=\"bodyscan-illust\">\n    <div class=\"mini-phone\">\n      <div class=\"notch\"><\/div>\n      <div class=\"scr\" style=\"background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp);background-size:cover;background-position:center top;background-repeat:no-repeat\"><\/div>\n    <\/div>\n    <div class=\"mini-cap\" style=\"text-align:center;font-size:13px;color:#6E6E73;max-width:200px\">Grasa corporal real medida en la app, base del BMR personalizado.<\/div>\n  <\/div>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\">\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\">\n      <div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Etapa 1<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">BodyScan IA<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Haces una foto en la app. La IA estima tu grasa corporal a partir de tu morfolog\u00eda visible. Se repite cada semana. Es esta medida la que hace realista el c\u00e1lculo del EAT, porque ancla el BMR en la masa magra, no en el peso bruto.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\">\n      <div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Etapa 2<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">BMR mediante modelo propietario patentado<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">El algoritmo patentado Lean calcula tu BMR a partir de tu masa magra real. M\u00e1s preciso que Harris-Benedict 1919 o Mifflin-St Jeor 1990, que se basan en tu peso bruto sin conocer tu grasa corporal.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\">\n      <div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Etapa 3<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">EAT a partir de tablas MET + duraci\u00f3n efectiva<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Seleccionas tu deporte (carrera, bici, musculaci\u00f3n, yoga, nataci\u00f3n, tenis y m\u00e1s de 100 otros). Introduces el tiempo efectivo de esfuerzo, no el tiempo en el gimnasio. Lean aplica el MET de referencia del Compendium of Physical Activities y calcula el gasto en kcal\/min sobre tu metabolismo.<\/p>\n    <\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\">\n      <div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Etapa 4<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Adaptaci\u00f3n metab\u00f3lica recalculada<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">En periodo de d\u00e9ficit, el BMR baja (adaptaci\u00f3n metab\u00f3lica). Lean es la primera app en modelizar ese coeficiente y aplicarlo multiplicativamente al BMR. Convenci\u00f3n 100&nbsp;% = \u00f3ptimo, 90&nbsp;% = adaptaci\u00f3n de 10 puntos. Tu EAT se mueve con \u00e9l, autom\u00e1ticamente.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>Resultado concreto: para una sesi\u00f3n de musculaci\u00f3n de 60&nbsp;minutos con 35&nbsp;minutos efectivos bajo tensi\u00f3n, Lean mostrar\u00e1 unas 220&nbsp;kcal de EAT para un hombre de 80&nbsp;kg moderadamente activo. MyFitnessPal o Apple Watch mostrar\u00e1n con frecuencia de 450 a 600&nbsp;kcal para la misma sesi\u00f3n. La diferencia es el error, y es esa diferencia la que impide que una p\u00e9rdida de grasa funcione a largo plazo.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" 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?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" 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\">Descarga gratuita<\/span>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"faq\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq\">Preguntas frecuentes sobre el EAT<\/h2>\n  <div class=\"faq\">\n    <details><summary>\u00bfEl EAT es lo mismo que \u00abquemar calor\u00edas durante el deporte\u00bb?<\/summary><div class=\"ans\">S\u00ed, es la traducci\u00f3n directa. EAT (Exercise Activity Thermogenesis) designa precisamente el gasto cal\u00f3rico adicional ligado a las sesiones de deporte planificadas. Es una de las cuatro partidas del TDEE, junto al BMR (reposo), el NEAT (actividad diaria fuera del deporte) y el TEF (digesti\u00f3n).<\/div><\/details>\n    <details><summary>\u00bfPor qu\u00e9 mi Apple Watch sobreestima sistem\u00e1ticamente el EAT?<\/summary><div class=\"ans\">Tres razones. Primera, el Apple Watch utiliza tu frecuencia card\u00edaca para estimar el esfuerzo, y la FC puede subir por razones no musculares (calor, caf\u00e9, estr\u00e9s). Segunda, el aceler\u00f3metro no distingue un movimiento \u00fatil de un movimiento par\u00e1sito. Tercera, cuando activas \u00abmusculaci\u00f3n 60&nbsp;minutos\u00bb, la app cuenta los 60&nbsp;minutos como esfuerzo continuo, cuando la mitad es recuperaci\u00f3n entre series. El estudio de Stanford 2017 midi\u00f3 entre un 27 y un 93&nbsp;% de error medio en los siete sensores principales probados.<\/div><\/details>\n    <details><summary>\u00bfEl EAT incluye la musculaci\u00f3n, o solo el cardio?<\/summary><div class=\"ans\">El EAT incluye todas las sesiones de deporte planificadas, musculaci\u00f3n incluida. La musculaci\u00f3n tiene un MET m\u00e1s bajo que el cardio (3 a 5 MET seg\u00fan la intensidad, frente a 8 a 12 MET para la carrera) porque el esfuerzo es intermitente y la frecuencia card\u00edaca media se mantiene moderada. Pero desarrolla la masa muscular, lo que aumenta el BMR a largo plazo. Es la inversi\u00f3n metab\u00f3lica m\u00e1s rentable a 12 meses.<\/div><\/details>\n    <details><summary>\u00bfCu\u00e1l es la diferencia entre EAT y NEAT?<\/summary><div class=\"ans\">El EAT es el gasto de las sesiones de deporte planificadas (hueco dedicado, intenci\u00f3n expl\u00edcita). El NEAT es el gasto de todo lo dem\u00e1s: caminar para hacer la compra, escaleras, postura de pie, gestos cotidianos. El NEAT suele pesar m\u00e1s que el EAT en el TDEE total (del 15 al 20&nbsp;% frente al 5 al 15&nbsp;%). Por eso Lean registra los pasos adem\u00e1s de las sesiones de deporte.<\/div><\/details>\n    <details><summary>\u00bfEl EPOC (\u00abafter-burn\u00bb) debe contarse en el EAT?<\/summary><div class=\"ans\">El EPOC (Excess Post-exercise Oxygen Consumption) es el gasto residual tras la sesi\u00f3n, el tiempo que tu cuerpo tarda en reconstituir gluc\u00f3geno, ox\u00edgeno y termorregulaci\u00f3n. A\u00f1ade del 5 al 15&nbsp;% al gasto de la propia sesi\u00f3n seg\u00fan la intensidad. Las tablas MET serias (Compendium of Physical Activities) ya integran ese efecto en las estimaciones est\u00e1ndar, as\u00ed que Lean no lo cuenta dos veces.<\/div><\/details>\n    <details><summary>\u00bfCu\u00e1ntas sesiones por semana hacen falta para mover el EAT significativamente?<\/summary><div class=\"ans\">Con 3 a 5 sesiones de 45&nbsp;minutos efectivos por semana, el EAT representa del 5 al 10&nbsp;% del TDEE en un adulto activo medio. Por debajo de 3 sesiones, el EAT se vuelve insignificante frente al BMR y al NEAT. M\u00e1s all\u00e1 de 6 sesiones intensas, el EAT puede subir al 15 al 25&nbsp;% del TDEE, pero con un riesgo real de bajada compensatoria del NEAT por fatiga.<\/div><\/details>\n  <\/div>\n  <details><summary>Cuando corro, \u00bfmis pasos cuentan dos veces (NEAT + EAT)?<\/summary><div class=\"ans\"><div style=\"display:flex;gap:16px;align-items:flex-start;flex-wrap:wrap\"><div style=\"flex:1;min-width:200px\">No. Es una trampa cl\u00e1sica en los trackers b\u00e1sicos. Una sesi\u00f3n de carrera de 45&nbsp;minutos va a generar de 6&nbsp;000 a 8&nbsp;000 pasos que aparecen en tu NEAT. Si la carrera tambi\u00e9n se registra como EAT, duplicas. Lean detecta el solapamiento temporal: durante la ventana de la sesi\u00f3n registrada, los pasos correspondientes se retiran del NEAT para evitar el doble conteo. Resultado: tu TDEE diario sigue siendo exacto, no inflado.<\/div><figure style=\"flex:0 0 150px;margin:0;text-align:center\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/calcul-calories-course-neat-inclus-lean-app-520x1024.png\" alt=\"Calcul calories course NEAT inclus Lean\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Pasos neutralizados durante la carrera. Sin doble conteo.<\/figcaption><\/figure><\/div><\/div><\/details>\n  <details><summary>Mi sesi\u00f3n de musculaci\u00f3n solo quema de 200 a 300&nbsp;kcal, \u00bfes normal?<\/summary><div class=\"ans\">S\u00ed, y es incluso la verdad fisiol\u00f3gica. Una hora de musculaci\u00f3n cl\u00e1sica con series de 8 a 12 repeticiones y de 90 a 120&nbsp;segundos de descanso corresponde a 3,5 a 5 MET seg\u00fan el Compendium de Ainsworth 2011. Para un hombre de 80&nbsp;kg: de 200 a 300&nbsp;kcal. Para una mujer de 60&nbsp;kg: de 150 a 220&nbsp;kcal. Si una app te anuncia de 1&nbsp;500 a 2&nbsp;000&nbsp;kcal para la misma sesi\u00f3n, el algoritmo est\u00e1 mal o cuenta el consumo de ox\u00edgeno post-esfuerzo de forma abusiva. La regla simple: una hora de musculaci\u00f3n gasta aproximadamente lo que gasta una hora de caminata sostenida.<\/div><\/details>\n  <details><summary>Entonces, \u00bfla musculaci\u00f3n es in\u00fatil para definir?<\/summary><div class=\"ans\">Al contrario. El gasto cal\u00f3rico agudo de la sesi\u00f3n es bajo, pero la musculaci\u00f3n es la \u00fanica palanca que preserva, e incluso aumenta, tu masa magra durante un d\u00e9ficit. Y la masa magra es el determinante n\u00famero uno de tu BMR. Sin musculaci\u00f3n en d\u00e9ficit, pierdes simult\u00e1neamente grasa y m\u00fasculo, tu BMR cae entre un 10 y un 20&nbsp;%, la adaptaci\u00f3n metab\u00f3lica se activa con m\u00e1s fuerza y el estancamiento llega en 6 a 8&nbsp;semanas. Con musculaci\u00f3n: el BMR aguanta, la composici\u00f3n corporal mejora incluso a igual peso y el d\u00e9ficit sigue siendo sostenible. El valor de la musculaci\u00f3n se mide en 12&nbsp;semanas de TDEE preservado, no en las 300&nbsp;kcal de una sesi\u00f3n.<\/div><\/details>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Fuentes<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliograf\u00eda<\/h3>\n  <ol class=\"src-list\">\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/li>\n    <li>Shcherbina A. et al. (2017). Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort. <em>J Pers Med<\/em>. <a href=\"https:\/\/med.stanford.edu\/news\/all-news\/2017\/05\/fitness-trackers-accurately-measure-heart-rate-but-not-calories-burned.html\" target=\"_blank\" rel=\"noopener\">Stanford Medicine News, 2017<\/a>.<\/li>\n    <li>HowdyHealth, Texas A&amp;M (2023). Use Metabolic Equivalents (METs) to Calculate Calories Burned. <a href=\"https:\/\/howdyhealth.tamu.edu\/use-metabolic-equivalents-mets-to-calculate-calories-burned\/\" target=\"_blank\" rel=\"noopener\">howdyhealth.tamu.edu<\/a>.<\/li>\n    <li>Westcott W.L. (2012). Resistance training is medicine: effects of strength training on health. <em>Curr Sports Med Rep<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/22653269\/\" target=\"_blank\" rel=\"noopener\">PubMed 22653269<\/a>.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. <em>Nutr Metab<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15282028\/\" target=\"_blank\" rel=\"noopener\">PubMed 15282028<\/a>.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. <em>Obesity<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23404923\/\" target=\"_blank\" rel=\"noopener\">PubMed 23404923<\/a>.<\/li>\n    <li>Schoeller D.A. (1988). Measurement of energy expenditure in free-living humans by using doubly labeled water. <em>J Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/3138331\/\" target=\"_blank\" rel=\"noopener\">PubMed 3138331<\/a>.<\/li>\n    <li>Levine J.A. (2007). Nonexercise activity thermogenesis (NEAT): environment and biology. <em>Am J Physiol Endocrinol Metab<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15102614\/\" target=\"_blank\" rel=\"noopener\">PubMed 15102614<\/a>.<\/li>\n    <li>Hector A.J., Phillips S.M. (2018). Protein Recommendations for Weight Loss in Elite Athletes. <em>J Int Soc Sports Nutr<\/em>. <a href=\"https:\/\/jissn.biomedcentral.com\/articles\/10.1186\/s12970-017-0174-y\" target=\"_blank\" rel=\"noopener\">jissn.biomedcentral.com<\/a>.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. <em>J Am Diet Assoc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>Katch V.L., McArdle W.D. (1973). Prediction of body density from simple anthropometric measurements in college-age men and women. <em>Hum Biol<\/em>.<\/li>\n    <li>Speakman J.R. (2004). Doubly Labelled Water: Theory and Practice. Springer.<\/li>\n    <li>Borg G.A.V. (1982). Psychophysical bases of perceived exertion. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/7154893\/\" target=\"_blank\" rel=\"noopener\">PubMed 7154893<\/a>.<\/li>\n    <li>Tudor-Locke C. et al. (2011). How many steps\/day are enough? <em>Int J Behav Nutr Phys Act<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21798015\/\" target=\"_blank\" rel=\"noopener\">PubMed 21798015<\/a>.<\/li>\n    <li>LaForgia J., Withers R.T., Gore C.J. (2006). Effects of exercise intensity and duration on the excess post-exercise oxygen consumption. <em>J Sports Sci<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17101527\/\" target=\"_blank\" rel=\"noopener\">PubMed 17101527<\/a>.<\/li>\n    <li>Cunningham J.J. (1980). A reanalysis of the factors influencing basal metabolic rate in normal adults. <em>Am J Clin Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/7435418\/\" target=\"_blank\" rel=\"noopener\">PubMed 7435418<\/a>.<\/li>\n    <li>Donnelly J.E. et al. (2009). Appropriate physical activity intervention strategies for weight loss. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/19127177\/\" target=\"_blank\" rel=\"noopener\">PubMed 19127177<\/a>.<\/li>\n    <li>Wing R.R., Hill J.O. (2001). Successful weight loss maintenance. <em>Annu Rev Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11375434\/\" target=\"_blank\" rel=\"noopener\">PubMed 11375434<\/a>.<\/li>\n    <li>Pontzer H. et al. (2016). Constrained Total Energy Expenditure and Metabolic Adaptation to Physical Activity in Adult Humans. <em>Curr Biol<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26832439\/\" target=\"_blank\" rel=\"noopener\">PubMed 26832439<\/a>.<\/li>\n    <li>Compendium of Physical Activities, versi\u00f3n 2024. Arizona State University. <a href=\"https:\/\/pacompendium.com\/\" target=\"_blank\" rel=\"noopener\">pacompendium.com<\/a>.<\/li>\n    <li>Trost S.G. et al. (2014). Comparison of accelerometer cut points for predicting activity intensity. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24500855\/\" target=\"_blank\" rel=\"noopener\">PubMed 24500855<\/a>.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Pilar publicado el 26 de mayo de 2026 por el equipo Lean. Actualizado regularmente con los nuevos estudios relevantes y las opiniones de los usuarios. Lean est\u00e1 disponible en iOS y Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-eat\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\nsetTimeout(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n}, 2000);\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<\/script>\n<\/div>\n\n\n\n<!-- lean-mesh-v8-pillar-eat -->\n<!-- lean-mesh-v9 -->\n\n\n\n\n<!-- lean-mesh-v11 -->\n\n\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Lecturas relacionadas<\/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\/es\/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): todo lo que hay que saber para calcularlo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definici\u00f3n, ecuaci\u00f3n TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por qu\u00e9 la grasa corporal lo cambia todo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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): la f\u00f3rmula can\u00f3nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entiende los 4 bloques + la adaptaci\u00f3n metab\u00f3lica, fuentes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/neat-depense-non-sportive\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT: el gasto cal\u00f3rico no deportivo que pesa del 15 al 50% de tu TDEE <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Pasos, desplazamientos, fidget. Por qu\u00e9 Mifflin se equivoca al ignorar tu actividad.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/effet-thermique-des-aliments\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TEF: el efecto t\u00e9rmico de los alimentos seg\u00fan tus macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10 % del TDEE de media, 25 % con alta prote\u00edna. M\u00e9todo de c\u00e1lculo de Lean.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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;\">Mejores aplicaciones para contar calor\u00edas en 2026: 8 apps probadas <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\/es\/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;\">\u00bfQu\u00e9 alternativa a MyFitnessPal en 2026? 5 apps probadas <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comparativa honesta, precisi\u00f3n del TDEE, ergonom\u00eda.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de d\u00e9ficit cal\u00f3rico: el enfoque correcto para una definici\u00f3n <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sobre tu TDEE real bodyfat-aware. 3 ritmos: lento\/moderado\/agresivo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">C\u00f3mo calcular tu gasto cal\u00f3rico real: la gu\u00eda completa <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sobre grasa corporal real, NEAT por pasos, EAT por sesi\u00f3n, TEF por macros, adaptaci\u00f3n.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Accueil Accueil &nbsp;\/&nbsp; EAT Pilier &middot; D\u00e9pense calorique &amp; TDEE EAT, la d\u00e9pense calorique de l&rsquo;exercice expliqu\u00e9e. Le seul poste du TDEE que tu peux d\u00e9cider d&rsquo;augmenter, et celui que les wearables mesurent le plus mal. Combien de calories ton sport te co\u00fbte vraiment, pourquoi ta montre te ment, et comment Lean mod\u00e9lise l&rsquo;EAT [&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-286","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>Calor\u00edas quemadas por sesi\u00f3n de deporte: c\u00e1lculo del EAT - Lean<\/title>\n<meta name=\"description\" content=\"\u00bfCu\u00e1ntas calor\u00edas quema realmente una sesi\u00f3n de deporte? C\u00e1lculo del EAT con los MET, por qu\u00e9 tu reloj sobreestima y ejemplos num\u00e9ricos por actividad.\" \/>\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\/es\/eat\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"EAT (Exercise Activity Thermogenesis): gu\u00eda completa\" \/>\n<meta property=\"og:description\" content=\"EAT: definici\u00f3n, medici\u00f3n cient\u00edfica, trampas de los wearables y c\u00f3mo Lean calcula con precisi\u00f3n las calor\u00edas del ejercicio v\u00eda el MET de cada deporte.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/es\/eat\/\" \/>\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=\"2025-07-09T14:02:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T18:17:38+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:title\" content=\"EAT (Exercise Activity Thermogenesis): gu\u00eda completa\" \/>\n<meta name=\"twitter:description\" content=\"EAT: definici\u00f3n, medici\u00f3n cient\u00edfica, trampas de los wearables y c\u00f3mo Lean calcula con precisi\u00f3n las calor\u00edas del ejercicio v\u00eda el MET de cada deporte.\" \/>\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=\"19 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/eat\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/eat\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"EAT\",\"datePublished\":\"2025-07-09T14:02:07+00:00\",\"dateModified\":\"2026-09-08T18:17:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/eat\/\"},\"wordCount\":3885,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/eat\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"es-ES\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/eat\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/eat\/\",\"url\":\"https:\/\/lean-app.com\/eat\/\",\"name\":\"Calories br\u00fbl\u00e9es par s\u00e9ance de sport : calcul EAT - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/eat\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/eat\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2025-07-09T14:02:07+00:00\",\"dateModified\":\"2026-09-08T18:17:38+00:00\",\"description\":\"Combien de calories br\u00fble vraiment une s\u00e9ance de sport ? Calcul EAT par les MET, pourquoi ta montre surestime, et exemples chiffr\u00e9s par activit\u00e9.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/eat\/#breadcrumb\"},\"inLanguage\":\"es-ES\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/eat\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es-ES\",\"@id\":\"https:\/\/lean-app.com\/eat\/#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\/eat\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"EAT\"}]},{\"@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\":\"es-ES\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-ES\",\"@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":"Calor\u00edas quemadas por sesi\u00f3n de deporte: c\u00e1lculo del EAT - Lean","description":"\u00bfCu\u00e1ntas calor\u00edas quema realmente una sesi\u00f3n de deporte? C\u00e1lculo del EAT con los MET, por qu\u00e9 tu reloj sobreestima y ejemplos num\u00e9ricos por actividad.","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\/es\/eat\/","og_locale":"es_ES","og_type":"article","og_title":"EAT (Exercise Activity Thermogenesis): gu\u00eda completa","og_description":"EAT: definici\u00f3n, medici\u00f3n cient\u00edfica, trampas de los wearables y c\u00f3mo Lean calcula con precisi\u00f3n las calor\u00edas del ejercicio v\u00eda el MET de cada deporte.","og_url":"https:\/\/lean-app.com\/es\/eat\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2025-07-09T14:02:07+00:00","article_modified_time":"2026-09-08T18:17:38+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_title":"EAT (Exercise Activity Thermogenesis): gu\u00eda completa","twitter_description":"EAT: definici\u00f3n, medici\u00f3n cient\u00edfica, trampas de los wearables y c\u00f3mo Lean calcula con precisi\u00f3n las calor\u00edas del ejercicio v\u00eda el MET de cada deporte.","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"19 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/eat\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/eat\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"EAT","datePublished":"2025-07-09T14:02:07+00:00","dateModified":"2026-09-08T18:17:38+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/eat\/"},"wordCount":3885,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/eat\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"es-ES","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/eat\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/eat\/","url":"https:\/\/lean-app.com\/eat\/","name":"Calor\u00edas quemadas por sesi\u00f3n de deporte: c\u00e1lculo del EAT - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/eat\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/eat\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2025-07-09T14:02:07+00:00","dateModified":"2026-09-08T18:17:38+00:00","description":"\u00bfCu\u00e1ntas calor\u00edas quema realmente una sesi\u00f3n de deporte? C\u00e1lculo del EAT con los MET, por qu\u00e9 tu reloj sobreestima y ejemplos num\u00e9ricos por actividad.","breadcrumb":{"@id":"https:\/\/lean-app.com\/eat\/#breadcrumb"},"inLanguage":"es-ES","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/eat\/"]}]},{"@type":"ImageObject","inLanguage":"es-ES","@id":"https:\/\/lean-app.com\/eat\/#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\/eat\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"EAT"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Descarga, prueba GRATIS la aplicaci\u00f3n y toma el control de tu cuerpo DE POR VIDA.","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":"es-ES"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"es-ES","@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\/es\/wp-json\/wp\/v2\/posts\/286","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/comments?post=286"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/posts\/286\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/media?parent=286"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/categories?post=286"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/es\/wp-json\/wp\/v2\/tags?post=286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}