{"id":286,"date":"2025-07-09T14:02:07","date_gmt":"2025-07-09T14:02:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=286"},"modified":"2026-05-28T21:20:35","modified_gmt":"2026-05-28T21:20:35","slug":"eat","status":"publish","type":"post","link":"https:\/\/lean-app.com\/en\/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 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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 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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 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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\">{\"@context\": \"https:\/\/schema.org\", \"@graph\": [{\"@type\": \"Article\", \"headline\": \"EAT, la d\u00e9pense calorique de l'exercice expliqu\u00e9e\", \"description\": \"Pillar Lean sur l'EAT (Exercise Activity Thermogenesis) : d\u00e9finition, physiologie, mesure, d\u00e9terminants, contribution au TDEE et pipeline Lean.\", \"author\": {\"@type\": \"Organization\", \"name\": \"L'\u00e9quipe Lean\"}, \"publisher\": {\"@type\": \"Organization\", \"name\": \"Lean\", \"logo\": {\"@type\": \"ImageObject\", \"url\": 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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.\"}}]}]}<\/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\/en\/\"><img 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\/en\/\">Home<\/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\/en\/\">Home<\/a> &nbsp;\/&nbsp; EAT<\/div>\n  <div class=\"eyebrow\">Pillar &middot; Calorie expenditure &amp; TDEE<\/div>\n  <h1 id=\"title\">EAT, exercise calorie expenditure explained.\n    <span class=\"alt\">The only TDEE bucket you can decide to raise, and the one wearables measure most poorly.<\/span>\n  <\/h1>\n  <p class=\"dek\">How many calories your sport really costs you, why your watch lies, and how Lean models EAT from your tracked session, not from a generic average.<\/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>The Lean Team<\/strong> &middot; 11&nbsp;min read &middot; Updated May 26, 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\">Free download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      EAT (Exercise Activity Thermogenesis) is the share of your TDEE that corresponds to calories burned during your planned sport sessions. It is the most visible bucket, but also the most poorly measured: consumer wearables miss exercise expenditure by 27 to 93&nbsp;% on average (Stanford, 2017). And it is also the smallest bucket for most people, around 5 to 15&nbsp;% of TDEE in a normally active adult, versus 60 to 70&nbsp;% for 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>Interactive demo<\/small>Tap the screen to explore the app<\/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>Interactive demo<\/small>Tap the screen<br>to explore the app<\/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=\"Preview of the Lean app with TDEE drill-down\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Back\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean preview, Expenditure tab\"><\/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=\"BMR detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Balance tab\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Calories tab\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Expenditure tab\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategy tab\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navigate the Lean app\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calories<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Expenditure<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategy<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Quick answer<\/div>\n    <p>EAT is the calorie expenditure of your sport sessions. It depends on four things: <span data-term=\"EAT\">the real effort duration<span class=\"tt\">Not the time spent in the gym, the real muscle contraction time.<\/span><\/span>, intensity (measured in MET, Metabolic Equivalent of Task), your body mass, and your movement economy (a trained runner burns less than a beginner at the same pace). Wearables overestimate EAT because they count rest time as effort. Lean models EAT from validated MET tables and your personalised BMR on real bodyfat, without wearable bias.<\/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; Definition<\/span><\/div>\n  <h2 id=\"def\">EAT, the E in the daily calorie puzzle<\/h2>\n  <p>Your body burns calories continuously, even still. The sum of all that expenditure over 24&nbsp;hours is called the <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">TDEE<\/a> (Total Daily Energy Expenditure). It breaks down into four clearly distinct bricks, each with its own physiology and its own calculation method. EAT is one of them.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">TDEE = BMR + NEAT + EAT + TEF<\/div>\n    <div class=\"lbl\">The canonical equation. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/bmr\/\">BMR<\/a> = basal metabolic rate. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat\/\">NEAT<\/a> = non-sport activity. EAT = planned sport sessions. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/tef\/\">TEF<\/a> = digestion of foods.<\/div>\n  <\/div>\n\n  <p>EAT is precisely the share tied to <strong>planned exercise<\/strong> : a strength training session, a jog, an hour of tennis, cycling, yoga. What steps out of involuntary daily life and what separates from rest. Everything you make move on top of the day&rsquo;s strict minimum falls here.<\/p>\n\n  <p>The gap with NEAT is sharp: walking to the subway, climbing stairs, standing at your desk, none of that is EAT, it is NEAT. EAT begins when you consciously decide &laquo;\u00a0I am training\u00a0&raquo; and you book a slot in your calendar for it. This distinction is what makes EAT both easy to motivate mentally, and hard to measure correctly.<\/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; Physiology<\/span><\/div>\n  <h2 id=\"physio\">What happens when you move<\/h2>\n  <p>During effort, your muscles burn ATP at an accelerated rate. To rebuild that ATP, your body mobilises three energy pathways: the anaerobic alactic system (very short, explosive), the anaerobic lactic system (intense efforts up to 2&nbsp;minutes), and the aerobic system (beyond, oxidation of carbs then fats). The exact blend depends on intensity and duration.<\/p>\n\n  <p>This whole process burns oxygen and releases heat. Indirect calorimetry measures that oxygen consumption (VO2) and converts it into kilocalories. It is the scientific reference for quantifying EAT, and it is also the foundation of the MET tables used in real life.<\/p>\n\n  <p>Beyond the session itself, there is a delayed effect called <strong>EPOC<\/strong> (Excess Post-exercise Oxygen Consumption). For several hours after an intense effort, your metabolism stays elevated to repair muscle micro-tears, rebuild glycogen stores and restore homeostasis. EPOC adds 5 to 15&nbsp;% to the session itself, more after HIIT, little after a quiet walk.<\/p>\n\n  <p>Practical consequence: the same hour of sport can cost 200&nbsp;kcal or 700&nbsp;kcal depending on the pathway used, the muscle mass engaged, and the intensity. That is why a single generic figure &laquo;\u00a01 hour of sport = X kcal\u00a0&raquo; makes no sense.<\/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; Measurement<\/span><\/div>\n  <h2 id=\"mesure\">What works, what does not work to measure EAT<\/h2>\n  <p>Three big families of methods coexist. One is precise and inaccessible. One is rigorous and usable. One is convenient and misleading.<\/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\">Lab reference<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Indirect calorimetry<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Measures O2 consumption and CO2 production via a mask. Near-perfect precision, error margin under 3&nbsp;%. Restricted to physiology labs, elite athletes and research. No consumer use.<\/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\">Pragmatic method<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">MET tables (Compendium of Physical Activities)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Every activity has a validated MET coefficient (1 MET = rest, 8 MET = jogging 10&nbsp;km\/h, 6 MET = tennis, 3 to 5 MET = moderate strength training). Combined with your BMR on real bodyfat, you get an honest estimate of expenditure per minute. That is the approach Lean uses.<\/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\">Misleading method<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Consumer wearables (Apple Watch, Garmin, Fitbit)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Proprietary algorithms based on heart rate + accelerometer. 2017 Stanford study on 7 major sensors: the best missed by 27&nbsp;% on average, the worst by 93&nbsp;% on exercise expenditure. Rest pauses between sets are counted as intense sport.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">27 to 93&nbsp;%<\/div>\n    <div class=\"lbl\">mean error measured on exercise expenditure by the seven consumer wearables tested at Stanford in 2017. None made it under the 20&nbsp;% error bar, yet a standard one in sport physiology.<\/div>\n  <\/div>\n\n  <p>The wearables problem is not the hardware, it is the formula. Heart rate can rise for non-muscular reasons (stress, coffee, heat, dehydration). And the accelerometer cannot tell a &laquo;\u00a0useful\u00a0&raquo; movement from a parasitic one. Lean deliberately takes the opposite stance: you declare your session and its effective duration, and the app computes from the real MET + your personalised metabolism.<\/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; Determinants<\/span><\/div>\n  <h2 id=\"det\">The four levers that move EAT<\/h2>\n  <p>For the same session displayed as &laquo;\u00a01 hour of sport\u00a0&raquo;, real expenditure varies by a factor of 1 to 3 between two people. Four parameters explain most of that gap.<\/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\">Lever 1<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Real effort duration<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">90&nbsp;minutes at the gym do not mean 90&nbsp;minutes of lifting. Most of the time is recovery between sets. Count effective time under tension: typically 30 to 45&nbsp;minutes out of 90 in the weight room, 20&nbsp;minutes of running out of 60 in a recreational tennis match.<\/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\">Lever 2<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Intensity (MET)<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">Gentle yoga: 2.5 MET. Leisure cycling: 4 MET. Moderate strength training: 3.5 MET. Jogging 10&nbsp;km\/h: 10 MET. Sprint intervals: 12 to 16 MET. Intensity directly drives kcal per minute, and it is measurable.<\/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\">Lever 3<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Body mass<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">A 95&nbsp;kg person burns about 35&nbsp;% more than a 65&nbsp;kg person for the same activity (MET formula: kcal\/min = MET &times; weight&nbsp;kg &times; 0.0175). Ignoring mass means being off by a third from the start.<\/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\">Lever 4<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Movement economy<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">A trained runner burns 10 to 20&nbsp;% less energy than a beginner at the same pace, thanks to a more efficient technique. MET tables do not capture that dimension. Your real MET score drops with training.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>Practical conclusion: a 90&nbsp;kg man doing 45&nbsp;effective minutes of strength training at 4 MET burns about 280&nbsp;kcal of EAT. The same trained man doing 60&nbsp;minutes of jogging at 10&nbsp;km\/h, 10 MET, burns 945&nbsp;kcal. For a 60&nbsp;kg woman on the same jogging session: 630&nbsp;kcal. These are orders of magnitude, not promises to the gram.<\/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\/logging-rowing-cardio-workout-lean-app.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\">Duration lever. Steady MET, long effort.<\/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\/logging-weight-training-by-intensity-lean-app.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\">Intensity lever. Real MET, not displayed duration.<\/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; Contribution to TDEE<\/span><\/div>\n  <h2 id=\"tdee\">EAT weighs less than you think<\/h2>\n  <p>This is probably the most counter-intuitive result in the physiology of calorie expenditure: EAT, the bucket everyone thinks of first when talking about &laquo;\u00a0burning calories\u00a0&raquo;, is in fact the smallest bucket of TDEE for most people.<\/p>\n\n  <p>Order of magnitude over a full day, for a moderately active 80&nbsp;kg man:<\/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\">About 1,750&nbsp;kcal\/day, i.e. <strong>60 to 70&nbsp;%<\/strong> of TDEE. It is what your body burns at rest to run brain, liver, heart, kidneys. Modulated by your real bodyfat in 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\">About 400&nbsp;kcal\/day for 10,000 steps, i.e. <strong>15 to 20&nbsp;%<\/strong> of TDEE. Steps, standing, daily gestures. This is where the big lever ignored by classic apps hides.<\/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\">About 250&nbsp;kcal\/day with 4 sessions per week of 45&nbsp;minutes, i.e. <strong>5 to 10%<\/strong> of TDEE. In elite athletes, this bucket can climb to 20 to 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\">About 250&nbsp;kcal\/day, i.e. <strong>around 10&nbsp;%<\/strong> of TDEE. Energy spent digesting. Proteins cost 25&nbsp;%, carbs 8&nbsp;%, fats 3&nbsp;%.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">5 to 15&nbsp;%<\/div>\n    <div class=\"lbl\">the typical range of the EAT contribution to TDEE in an active adult. It is less than daily walking (NEAT) in most people. A counter-intuitive reality, but a documented one.<\/div>\n  <\/div>\n\n  <p>Strategic consequence: adding 3,000 steps a day (about 120&nbsp;kcal of extra NEAT) over a week often beats adding one weekly sport session. That is not a reason to drop training (cardiovascular health and muscle mass depend on EAT), but it is a reason not to rely on it alone for fat loss.<\/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 face &agrave; Yazio sur l&rsquo;EAT<\/span><\/div>\n  <h2 id=\"vs-yazio\">Lean compared to Yazio on EAT: the &times;10 gap<\/h2>\n\n  <p>Most trackers inflate EAT. Yazio illustrates the problem: for a 60&nbsp;minute strength training session, the app displays nearly 2,000&nbsp;kcal burned. This is physiologically impossible for a human who is neither a pro cyclist nor an ultra-trailer.<\/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    One hour of strength training for a man of 75 to 90&nbsp;kg: 180 to 300&nbsp;kcal of real EAT depending on intensity. Not 1,986. The factor 7 to 10 error is the number one cause of failure in a calorie deficit: you eat 1,500&nbsp;kcal thinking you are compensating a session that cost 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\/yazio-app-calorie-overestimation-weight-training.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: 1,986&nbsp;kcal claimed.<\/strong><br>60 min strength training overestimated &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\/exercise-expenditure-focus-eat-lean-app.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 for the session.<\/strong><br>MET Ainsworth 2011, BMR on bodyfat.<\/figcaption>\n    <\/figure>\n\n  <\/div>\n\n  <p style=\"font-size:13px;color:#6E6E73;margin-top:14px;line-height:1.55\"><strong>Strength training MET source:<\/strong> Ainsworth BE et al., <em>2011 Compendium of Physical Activities<\/em>, Med Sci Sports Exerc, 2011 ; 43(8) : 1575 &agrave; 1581. MET musculation g&eacute;n&eacute;rale = 3,5 &agrave; 6,0 selon l&rsquo;intensit&eacute;. Calcul : kcal\/min = MET &times; 3,5 &times; poids(kg) \/ 200.<\/p>\n\n  <p>The point is not to minimise your effort, it is to spare you from eating an extra meal out of compensatory illusion. Precision on EAT is the silent condition of any success in a calorie deficit.<\/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; How Lean tracks your EAT<\/span><\/div>\n  <h2 id=\"lean\">The Lean pipeline: BodyScan, patented BMR, MET, adaptation<\/h2>\n  <p>Lean is the app that computes EAT best for a simple reason: its EAT relies on a BMR personalised on your real bodyfat, not on a 1990 equation pulled from your raw weight. Four steps in a row:<\/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\">Real bodyfat measured in the app, foundation of the personalised BMR.<\/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\">Step 1<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">AI BodyScan<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">You take a photo in the app. The AI estimates your bodyfat from your visible morphology. Redone every week. That measurement is what makes the EAT calculation realistic, because it anchors BMR on lean mass, not on raw weight.<\/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\">Step 2<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">BMR via patented proprietary model<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">The patented Lean algorithm computes your BMR from your real lean mass. More precise than Harris-Benedict 1919 or Mifflin-St Jeor 1990, which rely on raw weight without knowing your bodyfat.<\/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\">Step 3<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">EAT from MET tables + effective duration<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">You select your sport (running, cycling, strength training, yoga, swimming, tennis, and 100+ others). You enter the effective effort time, not the time in the gym. Lean applies the reference MET from the Compendium of Physical Activities and computes kcal\/min expenditure on your metabolism.<\/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\">Step 4<\/div>\n      <h3 style=\"margin:0 0 6px;font-size:18px\">Metabolic adaptation recalculated<\/h3>\n      <p style=\"margin:0;font-size:15px;line-height:1.55\">During a deficit, BMR drops (metabolic adaptation). Lean is the first app to model that coefficient and apply it multiplicatively to BMR. Convention 100&nbsp;% = optimal, 90&nbsp;% = adaptation of 10 points. Your EAT moves with it, automatically.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>Concrete result: for a 60-minute strength training session with 35&nbsp;effective minutes under tension, Lean will display about 220&nbsp;kcal of EAT for a moderately active 80&nbsp;kg man. MyFitnessPal or Apple Watch will frequently show 450 to 600&nbsp;kcal for the same session. The gap is the error, and that gap is what keeps fat loss from working over time.<\/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\">Free download<\/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\">EAT FAQ<\/h2>\n  <div class=\"faq\">\n    <details><summary>Is EAT the same thing as &laquo;\u00a0burning calories during sport\u00a0&raquo;?<\/summary><div class=\"ans\">Yes, that is the direct translation. EAT (Exercise Activity Thermogenesis) refers precisely to the extra calorie expenditure tied to planned sport sessions. It is one of the four buckets of TDEE, next to BMR (rest), NEAT (daily non-exercise activity) and TEF (digestion).<\/div><\/details>\n    <details><summary>Why does my Apple Watch systematically overestimate EAT?<\/summary><div class=\"ans\">Three reasons. First, the Apple Watch uses your heart rate to estimate effort, and HR can rise for non-muscular reasons (heat, coffee, stress). Second, the accelerometer cannot tell a useful movement from a parasitic one. Third, when you trigger &laquo;\u00a0strength training 60&nbsp;minutes\u00a0&raquo;, the app counts the full 60&nbsp;minutes as continuous effort, while half is rest between sets. The 2017 Stanford study measured 27 to 93&nbsp;% mean error across the seven major sensors tested.<\/div><\/details>\n    <details><summary>Does EAT include strength training, or only cardio?<\/summary><div class=\"ans\">EAT includes all planned sport sessions, strength training included. Strength training has a lower MET than cardio (3 to 5 MET depending on intensity, versus 8 to 12 MET for running) because effort is intermittent and average heart rate stays moderate. But it builds muscle mass, which raises BMR in the long run. It is the most profitable metabolic investment on a 12-month horizon.<\/div><\/details>\n    <details><summary>What is the difference between EAT and NEAT?<\/summary><div class=\"ans\">EAT is the expenditure of planned sport sessions (dedicated slot, explicit intent). NEAT is the expenditure of everything else: walking to errands, stairs, standing, daily gestures. NEAT often weighs heavier than EAT in total TDEE (15 to 20&nbsp;% versus 5 to 15&nbsp;%). That is why Lean tracks steps on top of sport sessions.<\/div><\/details>\n    <details><summary>Should EPOC (&laquo;\u00a0after-burn\u00a0&raquo;) be counted into EAT?<\/summary><div class=\"ans\">EPOC (Excess Post-exercise Oxygen Consumption) is the residual expenditure after the session, while your body rebuilds glycogen, oxygen and thermoregulation. It adds 5 to 15&nbsp;% to the session itself depending on intensity. Serious MET tables (Compendium of Physical Activities) already factor this effect into the standard estimates, so Lean does not double-count it.<\/div><\/details>\n    <details><summary>How many sessions per week to move EAT significantly?<\/summary><div class=\"ans\">With 3 to 5 sessions of 45&nbsp;effective minutes per week, EAT represents about 5 to 10&nbsp;% of TDEE in an average active adult. Below 3 sessions, EAT becomes negligible next to BMR and NEAT. Above 6 intense sessions, EAT can climb to 15 to 25&nbsp;% of TDEE, but with a real risk of compensatory NEAT drop from fatigue.<\/div><\/details>\n  <\/div>\n  <details><summary>When I run, do my steps count twice (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. It is a classic trap on basic trackers. A 45&nbsp;minute running session will move 6,000 to 8,000 steps that appear in your NEAT. If the run is also logged as EAT, you double count. Lean detects the temporal overlap: during the recorded session window, the corresponding steps are removed from NEAT to avoid double counting. Result: your daily TDEE stays accurate, not inflated.<\/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\/running-calorie-calculation-neat-included-lean-app.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\">Steps neutralised during the run. No double counting.<\/figcaption><\/figure><\/div><\/div><\/details>\n  <details><summary>My strength training session only burns 200 to 300&nbsp;kcal, is that normal?<\/summary><div class=\"ans\">Yes, and it is even the physiological truth. One hour of classic strength training with sets of 8 to 12 reps and 90 to 120&nbsp;seconds of rest corresponds to 3.5 to 5 MET per the Ainsworth 2011 Compendium. For a man of 80&nbsp;kg: 200 to 300&nbsp;kcal. For a woman of 60&nbsp;kg: 150 to 220&nbsp;kcal. If an app tells you 1,500 to 2,000&nbsp;kcal for the same session, the algorithm is wrong or counts post-exercise oxygen consumption abusively. The simple rule: one hour of strength training burns about what one hour of brisk walking burns.<\/div><\/details>\n  <details><summary>So is strength training useless for cutting?<\/summary><div class=\"ans\">On the contrary. The acute calorie expenditure of the session is small, but strength training is the only lever that preserves, or even increases, your lean mass during a deficit. And lean mass is the number one determinant of your BMR. Without strength training in a deficit, you lose fat and muscle simultaneously, your BMR drops by 10 to 20&nbsp;%, metabolic adaptation kicks in harder, and the plateau arrives in 6 to 8&nbsp;weeks. With strength training: the BMR holds, body composition improves even at equal weight, and the deficit stays sustainable. The value of strength training is measured over 12&nbsp;weeks of preserved TDEE, not over the 300&nbsp;kcal of one session.<\/div><\/details>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Sources<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">References<\/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, version 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>Pillar published on May 26, 2026 by The Lean Team. Updated regularly with new relevant studies and user feedback. 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Why Lean recalculates it continuously on your actual bodyfat.<\/span><\/a><\/li><li><a href=\"\/en\/neat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT, your non-exercise activity <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">15 to 20 % of your TDEE. Often heavier than EAT for most people.<\/span><\/a><\/li><li><a href=\"\/en\/tef\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TEF, digestion that burns calories <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Around 10 % of your TDEE. Higher on proteins, lower on fats.<\/span><\/a><\/li><li><a href=\"\/en\/total-daily-energy-expenditure-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TDEE, the complete formula <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">The pillar that synthesizes BMR + NEAT + EAT + TEF + metabolic adaptation.<\/span><\/a><\/li><li><a href=\"\/en\/tdee-calculator\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean TDEE Calculator <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Estimate your TDEE in 30 seconds, with built-in metabolic adaptation.<\/span><\/a><\/li><li><a href=\"\/en\/eat-dans-lean\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT in Lean: how the app computes your exercise expenditure <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Step-by-step tutorial: pick your sport, enter the effective duration, read the results.<\/span><\/a><\/li><li><a href=\"\/en\/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;\">Best calorie tracking apps in 2026 <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Honest comparison: Lean, MFP, Cronometer, Yazio, Foodvisor, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"\/en\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">All Lean comparisons <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comparison hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><\/ul><\/aside>\n\n<!-- lean-mesh-v9 -->\n\n\n\n\n<!-- lean-mesh-v11 -->","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>EAT (Exercise Activity Thermogenesis) : guide complet - Lean<\/title>\n<meta name=\"description\" content=\"EAT: definition, scientific measurement, wearable pitfalls and how Lean precisely calculates exercise calories via the MET of each sport.\" \/>\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\/en\/eat\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"EAT (Exercise Activity Thermogenesis): complete guide\" \/>\n<meta property=\"og:description\" content=\"EAT: definition, scientific measurement, wearable pitfalls and how Lean precisely calculates exercise calories via the MET of each sport.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/en\/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=\"2026-05-28T21:20:35+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=\"fleboy\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"EAT (Exercise Activity Thermogenesis): complete guide\" \/>\n<meta name=\"twitter:description\" content=\"EAT: definition, scientific measurement, wearable pitfalls and how Lean precisely calculates exercise calories via the MET of each sport.\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"fleboy\" \/>\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\":{\"name\":\"fleboy\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/person\/b8edc66875f72aab05563a8305d16c48\"},\"headline\":\"EAT\",\"datePublished\":\"2025-07-09T14:02:07+00:00\",\"dateModified\":\"2026-05-28T21:20:35+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/eat\/\"},\"wordCount\":3860,\"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\":\"en-US\",\"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\":\"EAT (Exercise Activity Thermogenesis) : guide complet - 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