{"id":1641,"date":"2026-05-27T21:55:30","date_gmt":"2026-05-27T21:55:30","guid":{"rendered":"https:\/\/lean-app.com\/?p=1641"},"modified":"2026-05-28T10:50:51","modified_gmt":"2026-05-28T10:50:51","slug":"neat-depense-non-sportive","status":"publish","type":"post","link":"https:\/\/lean-app.com\/en\/neat-depense-non-sportive\/","title":{"rendered":"NEAT (Non-Exercise Activity Thermogenesis)"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.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  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.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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.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}\n\n\/* Calculator-specific styles, scoped #lvm-shell *\/\n#lvm-shell .calc-board{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n@media(min-width:780px){#lvm-shell .calc-board{grid-template-columns:1fr 1fr;gap:24px}}\n#lvm-shell .calc-inputs{background:#FAF7F2;border-radius:14px;padding:22px;border:1px solid var(--rule-soft)}\n#lvm-shell .calc-inputs h3{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 16px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .calc-row{margin:0 0 14px}\n#lvm-shell .calc-row label{display:block;font-size:13px;color:var(--muted);margin-bottom:6px;font-weight:500}\n#lvm-shell .calc-row input,#lvm-shell .calc-row select{width:100%;padding:11px 13px;border:1px solid var(--rule);border-radius:9px;font-size:16px;background:#fff;color:var(--ink);font-family:var(--font-text);box-sizing:border-box}\n#lvm-shell .calc-row input:focus,#lvm-shell .calc-row select:focus{outline:2px solid var(--pink);outline-offset:1px;border-color:var(--pink)}\n#lvm-shell .calc-sex{display:flex;gap:8px}\n#lvm-shell .calc-sex label{flex:1;display:flex;align-items:center;justify-content:center;gap:6px;padding:11px 8px;background:#fff;border:1px solid var(--rule);border-radius:9px;cursor:pointer;margin:0;font-size:14px;font-weight:500;color:var(--ink)}\n#lvm-shell .calc-sex input{display:none}\n#lvm-shell .calc-sex input:checked + span{color:var(--pink);font-weight:600}\n#lvm-shell .calc-sex label:has(input:checked){border-color:var(--pink);background:var(--pink-soft)}\n#lvm-shell .calc-bf{display:flex;align-items:center;gap:10px}\n#lvm-shell .calc-bf input[type=range]{flex:1;accent-color:var(--pink);height:6px}\n#lvm-shell .calc-bf .bf-val{font-weight:600;color:var(--pink);min-width:42px;font-family:var(--font-mono);font-size:15px}\n#lvm-shell .calc-results{display:grid;grid-template-columns:1fr;gap:12px}\n#lvm-shell .calc-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px}\n#lvm-shell .calc-card.lean{border-left:4px solid var(--pink);background:linear-gradient(90deg,var(--pink-soft),#fff 30%)}\n#lvm-shell .calc-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-card .formula{font-size:13px;color:var(--dim);margin-top:2px}\n#lvm-shell .calc-card .result{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.025em;margin-top:8px;color:var(--ink);line-height:1}\n#lvm-shell .calc-card .result .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-card.lean .result{color:var(--pink)}\n#lvm-shell .calc-delta{margin-top:10px;padding:12px 14px;background:#fff;border:1px dashed var(--pink);border-radius:10px;font-size:14px;color:var(--ink)}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* Comparator cards (3 formulas pros\/cons) *\/\n#lvm-shell .compar-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:24px 0}\n#lvm-shell .compar-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px}\n#lvm-shell .compar-card.lean{border-left:4px solid var(--pink)}\n#lvm-shell .compar-card h4{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .compar-card .year{font-size:12px;color:var(--muted);font-family:var(--font-mono);margin-bottom:14px;letter-spacing:.04em}\n#lvm-shell .compar-card .desc{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 12px}\n#lvm-shell .compar-card .pros,#lvm-shell .compar-card .cons{margin:6px 0;font-size:13px;line-height:1.5}\n#lvm-shell .compar-card .pros{color:var(--green)}\n#lvm-shell .compar-card .cons{color:var(--red)}\n#lvm-shell .compar-card .pros b,#lvm-shell .compar-card .cons b{display:inline-block;width:18px}\n\n\/* Pyramide section *\/\n#lvm-shell .pyramide-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .pyramide-illust img{width:100%;border-radius:18px;box-shadow:0 12px 32px rgba(20,20,40,.12)}\n#lvm-shell .pyramide-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .pyramide-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\u2212\"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* BodyScan illust *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .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 .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* Body copy paragraphs *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles *\/\nbody.postid-1641 #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-1641 #lvm-shell .wrap,\nbody.postid-1641 #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-1641 #lvm-shell .wrap,\n  body.postid-1641 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1641 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1641 #lvm-shell *{max-width:100%}\nbody.postid-1641 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1641 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1641 #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-1641 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === CTA BANDS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1641 #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-1641 #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-1641 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1641 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1641 #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-1641 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1641 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1641 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1641 #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-1641 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1641 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === MINI-PHONES === *\/\n@media (max-width:760px){\n  body.postid-1641 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1641 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1641 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1641 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1641 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1641 #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-1641 #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-1641 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1641 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST === *\/\nbody.postid-1641 #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-1641 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\n@media (max-width:760px){\n  body.postid-1641 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1641 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important}\n}\n\n\/* Fix CompressX picture wrappers *\/\n#lvm-shell picture{display:block;max-width:100%}\n#lvm-shell picture img{display:block;max-width:100%;height:auto}\n#lvm-shell .bodyscan-illust .mini-phone{background:transparent;padding:0;border:none;box-shadow:none;border-radius:0}\n#lvm-shell .bodyscan-illust .mini-phone .notch{display:none}\n<\/style>\n\n<div id=\"lvm-shell\" class=\"force-show\">\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-neat\" 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-neat\" 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<!-- HERO -->\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/en\/\">Home<\/a> &nbsp;\/&nbsp; NEAT<\/div>\n  <div class=\"eyebrow\">Pillar &middot; Metabolic Science<\/div>\n  <h1 id=\"title\">NEAT (Non-Exercise Activity Thermogenesis).\n    <span class=\"alt\">The complete guide to understanding and leveraging your hidden calorie burn.<\/span>\n  <\/h1>\n  <p class=\"dek\">NEAT can vary by +700&nbsp;kcal per day between two people of the same weight. Every app asks you to check a &ldquo;lightly active&rdquo; box. Lean calculates it in real time via your pedometer.<\/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; Lecture 10&nbsp;min &middot; Mis &agrave; jour 27 mai 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-neat\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-neat\" 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  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      NEAT covers all physical activity outside structured sport: walking, housework, fidgeting, standing, stairs. It is the most variable component of TDEE, and also the most neglected. Lean calculates it via your pedometer, updated every hour.\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=\"Aper&ccedil;u de l&rsquo;application Lean avec drilldown du TDEE\">\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=\"Naviguer dans l&rsquo;app Lean\">\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\">Expense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategy<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Quick answer<\/div>\n    <p>Le NEAT (Non-Exercise Activity Thermogenesis) est la d&eacute;pense calorique li&eacute;e aux activit&eacute;s physiques du quotidien hors sport structur&eacute;. Il entre dans l&rsquo;&eacute;quation <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. C&rsquo;est la composante la plus variable : entre un s&eacute;dentaire et quelqu&rsquo;un qui marche 15&nbsp;000 pas par jour, l&rsquo;&eacute;cart atteint 700&nbsp;kcal par jour selon Levine (2005).<\/p>\n  <\/div>\n<\/section>\n\n<!-- 02. DEFINITION -->\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Definition<\/span>NEAT, la 2e brique du TDEE<\/h2>\n<div class=\"body\">\n<p>The <b>NEAT (Non-Exercise Activity Thermogenesis)<\/b> est l&rsquo;&eacute;nergie br&ucirc;l&eacute;e par toutes les activit&eacute;s physiques du quotidien qui ne sont pas du sport structur&eacute; et ne font pas partie du m&eacute;tabolisme de base. En clair : marcher jusqu&rsquo;au caf&eacute;, gesticuler en parlant, faire la vaisselle, monter les escaliers, jardiner, faire les courses, rester debout.<\/p>\n<p>It fits into the fundamental metabolic equation:<\/p>\n<\/div>\n<div class=\"statement\" style=\"margin:28px 0\"><p><b style=\"color:var(--pink);font-variant-numeric:tabular-nums\">TDEE = BMR + NEAT + EAT + TEF<\/b><\/p><\/div>\n<div class=\"body\">\n<p>The <b>BMR<\/b> (Basal Metabolic Rate) est la d&eacute;pense au repos. L&rsquo;<b>EAT<\/b> (Exercise Activity Thermogenesis) couvre tes s&eacute;ances de sport. Le <b>TEF<\/b> (Thermic Effect of Food) est la chaleur produite en dig&eacute;rant. Le NEAT, lui, couvre tout le reste, et c&rsquo;est souvent la composante la plus facile &agrave; augmenter, sans ajouter une seule s&eacute;ance de sport.<\/p>\n<p>The<b>metabolic adaptation<\/b> vient en plus comme coefficient multiplicateur du BMR en d&eacute;ficit calorique prolong&eacute;. Convention Lean : 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% d&rsquo;adaptation. Elle n&rsquo;entre <b>not<\/b> dans la somme TDEE.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Voir aussi : <a href=\"\/en\/metabolisme-de-base\/\">Pilier BMR<\/a> &middot; <a href=\"\/en\/depense-energetique-totale-v2\/\">Pilier TDEE<\/a> &middot; <a href=\"\/en\/thermic-effect-of-food-tef\/\">Pilier TEF<\/a> &middot; <a href=\"\/en\/calcul-metabolisme-de-base\/\">BMR Calculator<\/a> &middot; <a href=\"\/en\/calculateur-tdee\/\">TDEE Calculator<\/a>\n<\/div>\n\n<!-- 03. VARIABILITE -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Variability<\/span>+700&nbsp;kcal gap between individuals of the same weight<\/h2>\n<div class=\"body\">\n<p>C&rsquo;est la donn&eacute;e qui surprend le plus : deux personnes de m&ecirc;me poids, m&ecirc;me &acirc;ge, m&ecirc;me morphologie peuvent avoir un NEAT qui diff&egrave;re de <b>700&nbsp;kcal par jour<\/b>. Ce n&rsquo;est pas une estimation : c&rsquo;est le chiffre mesur&eacute; par James A. Levine dans une &eacute;tude publi&eacute;e dans <em>Science<\/em> (2005, PMID&nbsp;16033652).<\/p>\n<p>The reason: involuntary motor behaviors (fidgeting, gesturing, posture) are deeply individual. What is conscious is your baseline activity level: do you take the stairs or the elevator, do you stand at your desk, do you walk between meetings.<\/p>\n<p>Practical implication: if your calorie deficit has stalled, NEAT is the first variable to investigate, before adding cardio or cutting intake.<\/p>\n<\/div>\n<blockquote style=\"border-left:4px solid #FF8C00;margin:32px 0;padding:16px 24px;background:#FFF8F0;border-radius:0 8px 8px 0\">\n  <p style=\"margin:0;font-size:18px;font-weight:700;color:#1D1D1F\">&ldquo;NEAT between individuals can vary by more than 2&nbsp;000&nbsp;kJ\/day (478&nbsp;kcal\/day)&rdquo;<\/p>\n  <cite style=\"font-size:13px;color:#6E6E73;margin-top:8px;display:block\">Levine JA et al., <em>Science<\/em> 2005, PMID 16033652<\/cite>\n<\/blockquote>\n\n<!-- 04. 3 PROFILS -->\n<h2 class=\"sect\"><span class=\"num\">04 &middot; 3 profiles<\/span>From sedentary to active: the measured gap<\/h2>\n<div class=\"body\">\n<p>Three concrete profiles, calculated for an 80&nbsp;kg, 35-year-old man with 12&nbsp;% body fat. BMR is identical in all three cases. Only NEAT changes.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Sedentary<\/h4>\n    <div class=\"meta\">~3&nbsp;000 steps \/ day &middot; Desk job &middot; car &middot; couch<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimated NEAT<\/span><span class=\"v\">230&nbsp;kcal \/ day<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin PAL coefficient<\/span><span class=\"v\">1.2 (sedentary)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pedometer)<\/span><span class=\"v\">Measured in real time<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La case &laquo;&nbsp;s&eacute;dentaire&nbsp;&raquo; dans MyFitnessPal ou Yazio applique ce PAL pour <b>toute l&rsquo;ann&eacute;e<\/b>, m&ecirc;me les jours o&ugrave; tu marches plus.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Moderate<\/h4>\n    <div class=\"meta\">~8&nbsp;000 steps \/ day &middot; Remote work &middot; errands &middot; outings<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimated NEAT<\/span><span class=\"v\">560&nbsp;kcal \/ day<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin PAL coefficient<\/span><span class=\"v\">1.55 (lightly active)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pedometer)<\/span><span class=\"v\">Updated every hour<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">330&nbsp;kcal de diff&eacute;rence vs profil s&eacute;dentaire. L&rsquo;&eacute;quivalent d&rsquo;une d&eacute;mi-s&eacute;ance de sport, sans aller &agrave; la salle.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Active<\/h4>\n    <div class=\"meta\">~15&nbsp;000 steps \/ day &middot; Standing desk &middot; cycling &middot; stairs<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimated NEAT<\/span><span class=\"v\">900&nbsp;kcal \/ day<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin PAL coefficient<\/span><span class=\"v\">1.725 (very active)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pedometer)<\/span><span class=\"v\">Measured per step<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">670&nbsp;kcal difference vs sedentary. The equivalent of a full meal burned without any extra exercise.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Why apps fail<\/span>Static PAL vs dynamic calculation<\/h2>\n<div class=\"body\">\n<p>Quand tu configures MyFitnessPal ou Yazio, on te demande ton &laquo;&nbsp;niveau d&rsquo;activit&eacute;&nbsp;&raquo;. Tu coches une case : <em>s&eacute;dentaire<\/em>, <em>l&eacute;g&egrave;rement actif<\/em>, <em>mod&eacute;r&eacute;ment actif<\/em>. Et cette case d&eacute;finit un coefficient PAL (Physical Activity Level) qui s&rsquo;applique &agrave; ton BMR pour toujours.<\/p>\n<p>The problem: that coefficient does not change on Monday when you walk 15&nbsp;000 steps versus Sunday when you never leave the couch. If you checked &ldquo;lightly active&rdquo; (PAL 1.375), you have 1.375 forever, regardless of what you actually do.<\/p>\n<p>Johannsen &amp; Ravussin (2008, PMID&nbsp;18347659) ont mesur&eacute; que les erreurs d&rsquo;estimation du NEAT via PAL statique peuvent atteindre <b>300 &agrave; 500&nbsp;kcal par jour<\/b>. C&rsquo;est l&rsquo;ordre de grandeur qui explique un d&eacute;ficit qui &laquo;&nbsp;ne marche pas&nbsp;&raquo; ou une prise de poids inexplicable en ayant &laquo;&nbsp;bien mang&eacute;&nbsp;&raquo;.<\/p>\n<\/div>\n\n<!-- 06. MFP VS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">06 &middot; MFP vs Lean<\/span>189&nbsp;kcal vs 705&nbsp;kcal for 20&nbsp;000 steps<\/h2>\n<div class=\"body\">\n<p>A concrete example: 20&nbsp;000 steps in a day for an 80&nbsp;kg man with 12&nbsp;% body fat.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>MyFitnessPal<\/h4>\n    <div class=\"meta\">Static PAL calculation on total weight<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/calcul-imprecis-calories-myfitnesspal.png\" alt=\"Calcul MFP : 189 kcal pour 20 000 pas\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>20&nbsp;000 steps<\/span><span class=\"v\" style=\"color:#FF2D6E\">189&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Method<\/span><span class=\"v\">Steps &times; fixed constant<\/span><\/div>\n      <div class=\"rw\"><span>BMR factored in<\/span><span class=\"v\">No<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Most apps simply multiply step count by a generic constant. The result is systematically underestimated because your real BMR is not factored in.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">Dynamic calculation indexed to your real BMR<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-journaliere-neat-pas-lean-app.png\" alt=\"Calcul Lean : 705 kcal pour 20 000 pas\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>20&nbsp;000 steps<\/span><span class=\"v\" style=\"color:#27AE60\">705&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Method<\/span><span class=\"v\">Steps &times; f(BMR, lean mass)<\/span><\/div>\n      <div class=\"rw lean\"><span>BMR factored in<\/span><span class=\"v\">Yes, via AI BodyScan<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Lean calibrates the energy cost of each step to your complete metabolic profile. The same number of steps does not cost the same calories depending on your body composition.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">Lean calculates your NEAT in real time, indexed to your real BMR. Free download, 7-day trial on the annual plan.<\/div>\n  <div class=\"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-neat-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" height=\"42\" loading=\"lazy\"><\/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-neat-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" height=\"42\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<!-- 07. BMR CHANGE TOUT POUR LE NEAT -->\n<h2 class=\"sect\"><span class=\"num\">07 &middot; BMR &amp; NEAT<\/span>Why your BMR changes the value of every step<\/h2>\n<div class=\"body\">\n<p>C&rsquo;est l&rsquo;argument que la plupart des articles sur le NEAT omettent. Le co&ucirc;t calorique d&rsquo;un pas n&rsquo;est pas une constante : il d&eacute;pend de ta <b>masse maigre r&eacute;elle<\/b>, donc de ton BMR.<\/p>\n<p>The physiological reason: effort expenditure is proportional to metabolically active mass (muscles, organs), not total weight. Two 80&nbsp;kg individuals with 12&nbsp;% and 22&nbsp;% body fat have 70.4&nbsp;kg and 62.4&nbsp;kg of lean mass respectively. Their energy cost for the same number of steps differs by nearly 12&nbsp;%. Applied to 10&nbsp;000 steps per day, the gap reaches dozens of kilocalories, meaning hundreds of kilocalories per week.<\/p>\n<p>Concretely: if your NEAT calculation is not indexed to your real BMR, you can be in a calorie surplus while thinking you are in a deficit, or vice versa. This is exactly the mechanism behind inexplicable fat-loss plateaus.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Lean calculates your NEAT on your actual lean mass<\/div><p class=\"fd\">Thanks to AI BodyScan, Lean knows your body fat. It derives your lean mass, calculates your BMR via its patented proprietary model, and calibrates the cost of each step to that unique profile.<\/p><\/div><div class=\"fc\">Ultra-personal<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT recalibrates with every profile update<\/div><p class=\"fd\">Lost 3&nbsp;kg of fat in a month? Your BMR changes, and the cost of each step is automatically recalculated in Lean. Other apps keep the constant set at sign-up.<\/p><\/div><div class=\"fc\">Dynamic<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Two people, same walk, different expenditure<\/div><p class=\"fd\">Someone with a BMR of 1&nbsp;900&nbsp;kcal and someone with a BMR of 1&nbsp;500&nbsp;kcal do not burn the same calories walking 10&nbsp;000 steps. Applying the same generic constant to both is a structural error.<\/p><\/div><div class=\"fc\">Physio<\/div><\/div>\n<div class=\"body\">\n<p>This is the difference between a generic NEAT calculation and a personalized one. Lean is the only app that implements this complete architecture: body-fat-aware BMR, NEAT indexed to that BMR, dynamic TDEE to the calorie.<\/p>\n<\/div>\n\n<!-- 08. APPAREILS CONNECTES -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; Connected devices<\/span>Why your watch systematically overestimates your NEAT<\/h2>\n<div class=\"body\">\n<p>Apple Watch, Garmin, Fitbit and connected treadmills share one thing: they do not know your BMR. Their expenditure algorithm relies on a generic constant multiplied by your total weight, with no account for body composition.<\/p>\n<p>R&eacute;sultat : une surestimation syst&eacute;matique de <b>+30&nbsp;% &agrave; +100&nbsp;%<\/b> sur la d&eacute;pense li&eacute;e &agrave; la marche. Sur une journ&eacute;e &agrave; 10&nbsp;000 pas, une Apple Watch peut afficher 700&nbsp;kcal l&agrave; o&ugrave; la valeur r&eacute;elle est plus proche de 350&nbsp;kcal pour ce m&ecirc;me profil.<\/p>\n<\/div>\n<blockquote style=\"border-left:4px solid #FF2D6E;margin:32px 0;padding:16px 24px;background:#FFF0F5;border-radius:0 8px 8px 0\">\n  <p style=\"margin:0;font-size:16px;font-weight:700;color:#1D1D1F\">Concrete example: targeting a &minus;100&nbsp;kcal\/day deficit<\/p>\n  <p style=\"margin:8px 0 0;font-size:14px;color:#3D3D3F\">Ta montre affiche 700&nbsp;kcal pour 1h de marche (10&nbsp;000 pas). Valeur r&eacute;elle : ~350&nbsp;kcal. Surestimation : +350&nbsp;kcal\/jour. Bilan semaine : +350&times;7 &minus; 700 = <b>+1&nbsp;750&nbsp;kcal. Tu &eacute;tais en surplus.<\/b><\/p>\n<\/blockquote>\n<div class=\"body\">\n<p>Cette erreur peut ruiner enti&egrave;rement un d&eacute;ficit calorique. Lean int&egrave;gre les donn&eacute;es de ta montre via Apple Sant&eacute; ou Sant&eacute; Connect, mais les <b>recalibre sur ton BMR r&eacute;el<\/b>. Tu b&eacute;n&eacute;fices de la pr&eacute;cision du capteur de ta montre sans absorber son biais syst&eacute;matique de calcul.<\/p>\n<p>Voir aussi : <a href=\"\/en\/metabolisme-de-base\/\" style=\"color:var(--pink)\">Pilier BMR : pourquoi le bodyfat change tout sur ton m&eacute;tabolisme de base<\/a>.<\/p>\n<\/div>\n\n<!-- 09. BODYSCAN IA -->\n<h2 class=\"sect\"><span class=\"num\">09 &middot; AI BodyScan<\/span>Real body fat: the foundation of Lean's NEAT calculation<\/h2>\n<div class=\"body\">\n<p>For NEAT to be calculated on your real BMR, you first need to know your real BMR. And for that, you need your body fat, not just your weight. This is where Lean's AI BodyScan comes in.<\/p>\n<p>La plupart des apps calculent le BMR en fonction du poids total (Harris-Benedict 1919, Mifflin-St Jeor 1990). Lean calcule ton BMR sur ta <b>masse maigre estim&eacute;e via bodyfat<\/b>, gr&acirc;ce &agrave; un <b>proprietary patented model<\/b>. Deux individus de 80&nbsp;kg avec 12&nbsp;% et 22&nbsp;% de bodyfat ont un BMR qui diff&egrave;re de 200&nbsp;kcal par jour. Si tu te trompes sur le BMR, ton NEAT (et tout le TDEE) est faux d&egrave;s la fondation.<\/p>\n<\/div>\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/ai-bodyfat-scan-result-man-lean-app.png\" alt=\"R&eacute;sultat BodyScan IA Lean : bodyfat 11&nbsp;%\" width=\"514\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>AI BodyScan<\/b> : bodyfat r&eacute;el en 5 secondes, depuis une photo<\/p>\n<\/div>\n<div class=\"body\">\n<p>One photo, 5 seconds, and Lean knows your body fat precisely. This figure directly feeds your BMR calculation via Lean's patented proprietary model, which in turn forms the basis for your NEAT calculation. This is the chain architecture that other apps do not offer.<\/p>\n<\/div>\n\n<!-- 10. COMMENT LEAN CALCULE -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Lean &amp; NEAT<\/span>Real-time calculation via the pedometer<\/h2>\n<div class=\"body\">\n<p>Lean calculates your NEAT from your pedometer (Apple Health on iOS, Health Connect on Android) and indexes it to your complete metabolic profile. Each step is counted and converted to energy based on your actual body composition.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Continuous background pedometer<\/div><p class=\"fd\">Lean reads your steps via Apple Health (iOS) or Health Connect (Android) in the background. No need to open the app for your steps to be counted.<\/p><\/div><div class=\"fc\">Sensor<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT updated every hour<\/div><p class=\"fd\">Your NEAT in Lean changes throughout the day. At noon, you see your real morning NEAT expenditure, indexed to your current BMR.<\/p><\/div><div class=\"fc\">Real time<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Manual step entry<\/div><p class=\"fd\">Walked without your smartphone? You can add (or remove) steps manually in Lean's NEAT section via the &ldquo;+&rdquo; button. They are immediately integrated into your calorie balance.<\/p><div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/ajouter-manuellement-pas-lean-app.png\" alt=\"Interface pour ajouter ou retirer manuellement des pas dans l&rsquo;application Lean\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div><\/div><div class=\"fc\">Flexibility<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Apple Watch, Garmin, Fitbit<\/div><p class=\"fd\">If your watch is synced with Apple Health (iOS) or Health Connect (Android), Lean uses its step data (more precise than the smartphone alone), while recalibrating expenditure to your real BMR.<\/p><\/div><div class=\"fc\">Integration<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Adaptive calorie goal<\/div><p class=\"fd\">Lean adjusts your daily goal based on your real NEAT. If you walked 12&nbsp;000 steps this morning, your evening calorie goal accounts for that extra expenditure.<\/p><\/div><div class=\"fc\">Live balance<\/div><\/div>\n\n<!-- 11. TUTORIELS : ACTIVER LE PODOMETRE -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Tutorials<\/span>Activating the pedometer in Lean<\/h2>\n<div class=\"body\">\n<p>Avant tout, Lean a besoin d&rsquo;acc&eacute;der &agrave; tes donn&eacute;es de pas. Le chemin est diff&eacute;rent selon ton smartphone. Tutoriels officiels Lean : <a href=\"https:\/\/www.youtube.com\/shorts\/7-9Gk_3PTew\" target=\"_blank\" rel=\"noopener\">iPhone<\/a> &middot; <a href=\"https:\/\/www.youtube.com\/shorts\/USDxamjIfIE\" target=\"_blank\" rel=\"noopener\">Android<\/a>.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">iPhone: enabling step access in Lean<\/div><p class=\"fd\">Ouvre les <b>R&eacute;glages<\/b> de ton iPhone. Dans la barre de recherche en haut, tape &laquo;&nbsp;sant&eacute;&nbsp;&raquo; ou &laquo;&nbsp;health&nbsp;&raquo;. Appuie sur <b>Acc&egrave;s aux donn&eacute;es et appareils<\/b>, puis sur <b>Lean<\/b> dans la liste. V&eacute;rifie que <b>Step Count Integration<\/b> est bien coch&eacute;.<\/p><\/div><div class=\"fc\">iOS<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Android: connecting Health Connect and your brand's fitness app<\/div><p class=\"fd\"><b>1. T&eacute;l&eacute;charge Sant&eacute; Connect<\/b> sur le Play Store, ouvre-le, puis va dans <b>Autorisations des applications &gt; Lean<\/b> et coche <b>Pas<\/b>. <b>2. T&eacute;l&eacute;charge l&rsquo;app fitness de ta marque<\/b> : Google Fit (Google), Samsung Health (Samsung), Huawei Health (Huawei), Lifelog (Sony) ou l&rsquo;app sant&eacute; de ta marque. Dans cette app, v&eacute;rifie que le suivi des pas est activ&eacute;. <b>3. Dans Sant&eacute; Connect<\/b>, autorise cette app fitness &agrave; partager &laquo;&nbsp;Pas&nbsp;&raquo; en lecture et &eacute;criture. <b>V&eacute;rification<\/b> : Sant&eacute; Connect &gt; Donn&eacute;es et acc&egrave;s &gt; Activit&eacute; &gt; Pas &gt; Voir toutes les entr&eacute;es : des donn&eacute;es doivent appara\u00eetre (marche quelques pas si c&rsquo;est vide).<\/p><\/div><div class=\"fc\">Android<\/div><\/div>\n<div class=\"micro-cta\" style=\"margin-top:24px\">\n  Ressources : <a href=\"\/en\/calculateur-deficit-calorique\/\">Calculateur d&eacute;ficit calorique<\/a> &middot; <a href=\"\/en\/calculateur-tdee\/\">Full TDEE calculator<\/a> &middot; <a href=\"\/en\/metabolisme-de-base\/\">Pilier BMR<\/a> &middot; <a href=\"\/en\/depense-energetique-totale-v2\/\">Pilier TDEE<\/a>\n<\/div>\n\n<!-- 12. MET : MARCHE = NEAT PAS EAT -->\n<h2 class=\"sect\"><span class=\"num\">12 &middot; MET &amp; classification<\/span>Why walking is classified as NEAT and not EAT<\/h2>\n<div class=\"body\">\n<p>The question comes up often: is walking NEAT or EAT? The answer rests on MET (Metabolic Equivalent of Task), the unit used in scientific literature to classify physical activities.<\/p>\n<p>1 MET = l&rsquo;&eacute;nergie d&eacute;pens&eacute;e au repos assis. La fronti&egrave;re NEAT\/EAT est fix&eacute;e &agrave; <b>MET&nbsp;=&nbsp;3<\/b> : en dessous, c&rsquo;est de la NEAT ; au-dessus, c&rsquo;est de l&rsquo;EAT.<\/p>\n<p>Walking sits at the boundary: slow walking (&lt;&nbsp;4&nbsp;km\/h) is MET&nbsp;&asymp;&nbsp;2.5-3; fast walking (&gt;&nbsp;6&nbsp;km\/h) rises to MET&nbsp;4-5. In the scientific literature, walking at normal pace is overwhelmingly classified as NEAT. Lean follows this convention.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>NEAT activities (MET &lt; 3)<\/h4>\n    <div class=\"meta\">Estimated daily expenditure for 8&nbsp;000 steps\/day<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Gentle walking<\/span><span class=\"v\">350&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Standing<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Dishes, housework<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Other micro-movements<\/span><span class=\"v\">60&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Total NEAT<\/span><span class=\"v\">~440&nbsp;kcal \/ day<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Walking accounts for about 80&nbsp;% of total NEAT for a standard individual. This is why Lean primarily bases its NEAT measurement on step count.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>EAT activities (MET &gt; 3)<\/h4>\n    <div class=\"meta\">Examples of structured sport clearly above the threshold<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Running (8&nbsp;km\/h)<\/span><span class=\"v\">MET 8<\/span><\/div>\n      <div class=\"rw\"><span>Cycling (moderate)<\/span><span class=\"v\">MET 6<\/span><\/div>\n      <div class=\"rw\"><span>Weight training (mod. effort)<\/span><span class=\"v\">MET 4-5<\/span><\/div>\n      <div class=\"rw lean\"><span>Tracked in Lean<\/span><span class=\"v\">EAT tab<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">If you run and your pedometer is active, choose &ldquo;NEAT included&rdquo; exercises in Lean to avoid double-counting your steps.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. STRATEGIES NEAT -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; NEAT strategies<\/span>Walk more, eat more<\/h2>\n<div class=\"body\">\n<p>Le principe fondamental du NEAT : chaque pas suppl&eacute;mentaire augmente ta d&eacute;pense, ce qui augmente ton objectif calorique. <b>Je marche plus = je mange plus.<\/b> C&rsquo;est l&rsquo;&eacute;change de bon proc&eacute;d&eacute; que les sportifs en s&egrave;che comprennent vite : plut&ocirc;t que de baisser les apports, augmente d&rsquo;abord la d&eacute;pense.<\/p>\n<p>The NEAT advantage over EAT: no recovery needed, no injury risk, no hormonal stress from intense cardio. Here are the most effective levers.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+2&nbsp;000 steps = +70&nbsp;kcal (the useful minimum)<\/div><p class=\"fd\">Add 2 blocks of 10-minute walks to your day. Morning between tasks, afternoon before the next meeting. 20 minutes, +2&nbsp;000 steps, +70&nbsp;kcal without touching your workout plan.<\/p><\/div><div class=\"fc\">Daily<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Standing desk 3h\/day (+100 to 200&nbsp;kcal)<\/div><p class=\"fd\">Standing for 3 hours instead of sitting burns ~150&nbsp;extra kcal. Alternating sitting and standing every 30 minutes is more effective than one continuous standing block.<\/p><\/div><div class=\"fc\">Desk<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Cycling to work (+300 to 500&nbsp;kcal\/day)<\/div><p class=\"fd\">A 20-minute round-trip bike commute at moderate pace counts as NEAT if effort stays below MET&nbsp;3. Above that (sport cycling, elevated heart rate), it is EAT: log it separately in Lean.<\/p><\/div><div class=\"fc\">Commute<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Stairs consistently (+50 to 100&nbsp;kcal\/day)<\/div><p class=\"fd\">Climbing 10 floors burns ~8&nbsp;kcal. 4 trips\/day in a 5-floor building = 32&nbsp;kcal. Over 22 working days = 700&nbsp;kcal that month, without a single extra workout.<\/p><\/div><div class=\"fc\">Building<\/div><\/div>\n<div class=\"body\">\n<p>Be aware of the compensation effect (Pontzer et al., 2021, PMID&nbsp;34385400): if you increase NEAT too fast, your body may partially reduce other spontaneous expenditures. The actual increase is often 60 to 70&nbsp;% of the theoretical burn. Lean models this effect in its adapted TDEE calculation.<\/p>\n<\/div>\n\n<!-- 14. NEAT LIVE DANS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">14 &middot; NEAT live<\/span>Step-by-step tracking in Lean<\/h2>\n<div class=\"body\">\n<p>Lean's Expense tab details each TDEE component in real time: BMR, NEAT, EAT, TEF. The displayed NEAT corresponds to your actual steps for the day, converted to kilocalories based on your complete metabolic profile.<\/p>\n<\/div>\n<div style=\"max-width:130px;margin:24px auto\">\n  <div class=\"mini-phone\" style=\"max-width:130px\"><div class=\"notch\"><\/div><div class=\"scr\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"NEAT et pas dans Lean\" loading=\"lazy\"><\/div><\/div>\n<\/div>\n<div class=\"mini-cap\"><strong>Lean<\/strong> &middot; NEAT en temps r&eacute;el, index&eacute; sur ton BMR r&eacute;el<\/div>\n\n<!-- 15. STRATEGIES PAR OBJECTIF -->\n<h2 class=\"sect\"><span class=\"num\">15 &middot; Goals<\/span>NEAT strategy for cut, bulk, or recomp<\/h2>\n<p>Once your precise NEAT is known, practical application is straightforward. Three goals, three levers.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Cut (fat loss)<\/h4>\n    <div class=\"meta\">Goal: maximize NEAT without over-compensation<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT lever<\/span><span class=\"v\">+3&nbsp;000 steps \/ day<\/span><\/div>\n      <div class=\"rw\"><span>Advantage<\/span><span class=\"v\">No hormonal stress from cardio<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calculates<\/span><span class=\"v\">Exact impact on deficit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Maximiser le NEAT est la strat&eacute;gie reine en s&egrave;che. Outil : <a href=\"\/en\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">caloric deficit calculator<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Bulk (muscle gain)<\/h4>\n    <div class=\"meta\">Goal: controlled surplus, minimum fat gain<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT lever<\/span><span class=\"v\">Moderate (avoid eroding surplus)<\/span><\/div>\n      <div class=\"rw\"><span>Risk<\/span><span class=\"v\">Too-high NEAT reduces net surplus<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean shows<\/span><span class=\"v\">Net surplus after real NEAT<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">In a bulk, Lean shows the real surplus in real time to adjust intake precisely.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomp (maintenance + building)<\/h4>\n    <div class=\"meta\">Goal: maximum precision on intake and expenditure<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT lever<\/span><span class=\"v\">Precision tool to the kcal<\/span><\/div>\n      <div class=\"rw\"><span>Advantage<\/span><span class=\"v\">Balance without approximation<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calculates<\/span><span class=\"v\">Live caloric balance<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Recomposition demands maximum precision. NEAT calibrated to your real BMR is a decisive advantage.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 16. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; The Pyramid<\/span>Lean Progression Pyramid<\/h2>\n<div class=\"body\">\n<p>The Lean Progression Pyramid ranks priorities for reaching your body goal. NEAT occupies the 3rd level, after dietary adherence and precise calorie target.<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Lean Progression Pyramid\">\n  <div class=\"level l1\"><span>Adherence<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Calorie goal (precise TDEE)<\/span><span class=\"k\">Level 2<\/span><\/div>\n  <div class=\"level l3\"><span>Steps \/ daily NEAT<\/span><span class=\"k\">Level 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutrients<\/span><span class=\"k\">Top<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">Ne pas br&ucirc;ler les &eacute;tapes. Un TDEE pr&eacute;cis sur bodyfat r&eacute;el est l&rsquo;&eacute;tage 2. Mais si tu ne traces pas ton NEAT r&eacute;guli&egrave;rement, les macros ne changent rien.<\/div>\n\n<!-- 17. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">17 &middot; FAQ<\/span>Tout ce que tu te demandes sur le NEAT<\/h2>\n\n<details class=\"faq\"><summary>Quelle est la diff&eacute;rence entre NEAT et EAT&nbsp;?<\/summary><div class=\"faq-body\"><p>The<b>EAT (Exercise Activity Thermogenesis)<\/b> couvre tes s&eacute;ances de sport structur&eacute;es (musculation, running, v&eacute;lo). Le <b>NEAT<\/b> couvre tout le reste des activit&eacute;s du quotidien : marche, m&eacute;nage, gestuelle, escaliers. La fronti&egrave;re est &agrave; MET&nbsp;=&nbsp;3 : en dessous c&rsquo;est NEAT, au-dessus c&rsquo;est EAT. Les deux sont calcul&eacute;s s&eacute;par&eacute;ment dans l&rsquo;&eacute;quation TDEE = BMR + NEAT + EAT + TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Pourquoi ma montre Apple Watch surestime-t-elle mes calories&nbsp;?<\/summary><div class=\"faq-body\"><p>L&rsquo;Apple Watch calcule ta d&eacute;pense &agrave; la marche sans acc&egrave;s &agrave; ton BMR r&eacute;el. Elle applique une constante g&eacute;n&eacute;rique multipli&eacute;e par ton poids, sans tenir compte de ta composition corporelle. R&eacute;sultat : une surestimation de +30 &agrave; +100&nbsp;% selon le profil. Lean recalibra les donn&eacute;es de ta montre sur ton BMR bodyfat-aware pour &eacute;liminer ce biais.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Comment le NEAT affecte-t-il mon d&eacute;ficit calorique&nbsp;?<\/summary><div class=\"faq-body\"><p>Directement : d&eacute;ficit r&eacute;el = apports &minus; (BMR + NEAT + EAT + TEF). Si ton NEAT augmente de 300&nbsp;kcal ce jour-l&agrave;, ton TDEE augmente de 300&nbsp;kcal et ton d&eacute;ficit s&rsquo;approfondit. Dans Lean, l&rsquo;objectif calorique journalier s&rsquo;ajuste en temps r&eacute;el &agrave; mesure que ton NEAT progresse dans la journ&eacute;e.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Le NEAT diminue-t-il en d&eacute;ficit calorique&nbsp;?<\/summary><div class=\"faq-body\"><p>Oui, c&rsquo;est l&rsquo;adaptation m&eacute;tabolique. En d&eacute;ficit prolong&eacute;, le corps r&eacute;duit involontairement le NEAT (moins de gestuelle, moins de motivation &agrave; bouger). Rosenbaum et al. (2010) ont mesur&eacute; une r&eacute;duction pouvant atteindre 150&nbsp;kcal\/j en d&eacute;ficit s&eacute;v&egrave;re. Lean mod&eacute;lise l&rsquo;adaptation m&eacute;tabolique s&eacute;par&eacute;ment, comme coefficient multiplicateur du BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Combien de pas par jour pour un NEAT optimal en s&egrave;che&nbsp;?<\/summary><div class=\"faq-body\"><p>Les donn&eacute;es de Levine et Healy pointent vers 8&nbsp;000 &agrave; 12&nbsp;000 pas\/jour comme zone de NEAT &eacute;lev&eacute; sans sur-compensation. En pratique, vise un objectif que tu peux tenir 6 jours sur 7. Une base de 10&nbsp;000 pas est un premier objectif clair et atteignable. Lean affiche la moyenne hebdomadaire de ton NEAT pour t&rsquo;aider &agrave; calibrer cet objectif.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Est-ce que je peux manger plus si je marche plus&nbsp;?<\/summary><div class=\"faq-body\"><p>Oui, c&rsquo;est le principe central. Chaque pas suppl&eacute;mentaire augmente ton TDEE, ce qui augmente l&rsquo;objectif calorique calcul&eacute; par Lean. La formule : <b>je marche plus = je mange plus<\/b>, tout en restant dans ton objectif. En s&egrave;che, c&rsquo;est souvent pr&eacute;f&eacute;rable &agrave; baisser les apports, car &ccedil;a limite la frustration alimentaire.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Lean utilise quel capteur pour le NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Lean lit les pas depuis <b>Apple Sant&eacute;<\/b> (iOS) ou <b>Sant&eacute; Connect<\/b> (Android, le service qui remplace Google Fit depuis 2024). L&rsquo;acc&eacute;l&eacute;rom&egrave;tre de ton smartphone ou de ta montre connect&eacute;e (Apple Watch, Garmin, Fitbit, Samsung Galaxy Watch) alimente ces plateformes. Si ta montre est synchronis&eacute;e, Lean utilise ses donn&eacute;es tout en recalibrant la d&eacute;pense sur ton BMR r&eacute;el, pas sur la constante interne de la montre.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qu&rsquo;est-ce que le fidgeting et comment impacte-t-il le NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>The <em>fidgeting<\/em> d&eacute;signe les micro-mouvements involontaires (se balancer, gesticuler, taper des doigts). Levine (2005) a montr&eacute; que des individus tr&egrave;s &laquo;&nbsp;fidgety&nbsp;&raquo; br&ucirc;lent jusqu&rsquo;&agrave; 350&nbsp;kcal de plus par jour &agrave; activit&eacute; identique. Ce comportement est largement inconscient, d&rsquo;o&ugrave; l&rsquo;importance d&rsquo;un NEAT mesur&eacute; via podom&egrave;tre plut&ocirc;t qu&rsquo;estim&eacute; via PAL statique.<\/p><\/div><\/details>\n\n<!-- 18. SOURCES -->\n<div class=\"sources\">\n  <h4>Scientific sources<\/h4>\n  <ol>\n    <li>Levine JA, Lanningham-Foster LM, McCrady SK, et al. Interindividual variation in posture allocation: possible role in human obesity. <em>Science<\/em>. 2005;307(5709):584-586. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/16033652\/\" target=\"_blank\" rel=\"noopener\">PubMed 16033652<\/a><\/li>\n    <li>Healy GN, Dunstan DW, Salmon J, et al. Breaks in sedentary time: beneficial associations with metabolic risk. <em>Diabetes Care<\/em>. 2008;31(4):661-666. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18252905\/\" target=\"_blank\" rel=\"noopener\">PubMed 18252905<\/a><\/li>\n    <li>Johannsen DL, Ravussin E. Spontaneous physical activity: relationship to diet, obesity, and time spent in the physical activity. <em>Curr Opin Endocrinol Diabetes Obes<\/em>. 2008. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18347659\/\" target=\"_blank\" rel=\"noopener\">PubMed 18347659<\/a><\/li>\n    <li>Pontzer H, Yamada Y, Sagayama H, et al. Daily energy expenditure through the human life course. <em>Science<\/em>. 2021;373(6556):808-812. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34385400\/\" target=\"_blank\" rel=\"noopener\">PubMed 34385400<\/a><\/li>\n    <li>Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. <em>Int J Obes<\/em>. 2010;34 Suppl 1:S47-55. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20935667\/\" target=\"_blank\" rel=\"noopener\">PubMed 20935667<\/a><\/li>\n    <li>Tudor-Locke C, Craig CL, Brown WJ, et al. How many steps\/day are enough? For adults. <em>Int J Behav Nutr Phys Act<\/em>. 2011;8:79. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21798015\/\" target=\"_blank\" rel=\"noopener\">PubMed 21798015<\/a><\/li>\n  <\/ol>\n<\/div>\n\n<!-- GET-BAND -->\n<div class=\"get-band\">\n  <h3>Calculate your NEAT on your real body fat<\/h3>\n  <p>Built-in pedometer. NEAT recalculated every hour, indexed to your real BMR. Patented proprietary model. No generic Apple Watch constant, no frozen MFP PAL. Free download, 7-day trial on the annual plan.<\/p>\n  <div class=\"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-neat-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" loading=\"lazy\"><\/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-neat-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<\/main>\n\n<script>(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  var tabMap = {\n    bilan:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var currentTab = 'depense';\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 ? 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Le NEAT couvre toutes les activit\\u00e9s physiques du quotidien hors sport. Les deux entrent dans TDEE = BMR + NEAT + EAT + TEF.\"}},\n        {\"@type\": \"Question\", \"name\": \"Comment le NEAT affecte-t-il mon d\\u00e9ficit calorique ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"D\\u00e9ficit r\\u00e9el = apports - (BMR + NEAT + EAT + TEF). Si ton NEAT augmente de 300 kcal, ton d\\u00e9ficit s'approfondit de 300 kcal. Lean ajuste l'objectif calorique en temps r\\u00e9el.\"}},\n        {\"@type\": \"Question\", \"name\": \"Le NEAT diminue-t-il en d\\u00e9ficit calorique ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Oui, c'est l'adaptation m\\u00e9tabolique. En d\\u00e9ficit prolong\\u00e9, le corps r\\u00e9duit involontairement le NEAT. Lean mod\\u00e9lise cet effet s\\u00e9par\\u00e9ment comme coefficient multiplicateur du BMR.\"}},\n        {\"@type\": \"Question\", \"name\": \"Combien de pas par jour pour un NEAT optimal en s\\u00e8che ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"8 000 \\u00e0 12 000 pas par jour correspond \\u00e0 une zone de NEAT \\u00e9lev\\u00e9 sans sur-compensation. Vise un objectif que tu peux tenir 6 jours sur 7.\"}},\n        {\"@type\": \"Question\", \"name\": \"Lean utilise quel capteur pour le NEAT ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Lean lit les donn\\u00e9es de pas depuis Apple Sant\\u00e9 (iOS) ou Sant\\u00e9 Connect (Android, le service officiel qui remplace Google Fit depuis 2024). Si ta montre est synchronis\\u00e9e, Lean utilise ses donn\\u00e9es, plus pr\\u00e9cises que le seul smartphone.\"}},\n        {\"@type\": \"Question\", \"name\": \"Qu'est-ce que le fidgeting et comment impacte-t-il le NEAT ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Le fidgeting d\\u00e9signe les micro-mouvements involontaires. Levine (2005) a montr\\u00e9 que des individus tr\\u00e8s fidgety br\\u00fblent jusqu'\\u00e0 350 kcal de plus par jour \\u00e0 activit\\u00e9 identique.\"}},\n        {\"@type\": \"Question\", \"name\": \"Est-ce que le NEAT compense la s\\u00e9dentarit\\u00e9 d'une journ\\u00e9e de bureau ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non, pas seul. 8h assis r\\u00e9duisent le NEAT \\u00e0 ~200 kcal. Des micro-marches aident mais ne compensent pas totalement une journ\\u00e9e tr\\u00e8s s\\u00e9dentaire.\"}},\n        {\"@type\": \"Question\", \"name\": \"Le NEAT est-il diff\\u00e9rent entre hommes et femmes ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"La variabilit\\u00e9 inter-individuelle est plus forte que la diff\\u00e9rence homme\/femme. Lean calibre la conversion pas vers kcal selon ton profil complet : poids, bodyfat, taille.\"}}\n      ]\n    },\n    {\n      \"@type\": \"MobileApplication\",\n      \"name\": \"Lean\",\n      \"operatingSystem\": \"iOS, Android\",\n      \"applicationCategory\": \"HealthApplication\",\n      \"description\": \"Lean calcule ton NEAT en temps r\\u00e9el via podom\\u00e8tre int\\u00e9gr\\u00e9. TDEE complet sur bodyfat r\\u00e9el.\",\n      \"aggregateRating\": {\"@type\": \"AggregateRating\", \"ratingValue\": \"4.7\", \"ratingCount\": \"1000\", \"bestRating\": \"5\"},\n      \"offers\": {\"@type\": \"Offer\", \"price\": \"0\", \"priceCurrency\": \"EUR\"},\n      \"downloadUrl\": \"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\"\n    }\n  ]\n}\n<\/script>\n\n<\/div>\n\n\n\n<!-- lean-mesh-v2-pillar-neat-OUTGOING-ONLY -->\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;\">Read also<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/en\/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;\">Complete TDEE guide: BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comprendre et calculer sa depense energetique totale avec precision.<\/span><\/a><\/li><li><a href=\"\/en\/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;\">Pilier BMR : le metabolisme de base explique <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Pourquoi le bodyfat change tout sur ton metabolisme de base.<\/span><\/a><\/li><li><a href=\"\/en\/thermic-effect-of-food-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 : l&rsquo;effet thermique des aliments <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">La 4e brique du TDEE, calculee sur tes macros reels dans Lean.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculateur TDEE interactif <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculate your true daily energy expenditure, bodyfat-aware.<\/span><\/a><\/li><\/ul><\/aside>\n<!-- \/lean-mesh-v2-pillar-neat-OUTGOING-ONLY -->\n\n\n<!-- lean-mesh-v11 -->\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;\">Also worth reading<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/en\/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;\">Thermic Effect of Food (TEF): the 69 kcal other apps ignore <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean calculates TEF in real time from your macros. Other apps don't.<\/span><\/a><\/li><li><a href=\"\/en\/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;\">Calorie deficit calculator: the right approach for a cut <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculate your deficit on your real bodyfat-aware TDEE. 3 paces: slow \/ moderate \/ aggressive.<\/span><\/a><\/li><li><a href=\"\/en\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Basal metabolic rate calculator: the most accurate formula (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Compare Harris-Benedict 1919, Mifflin-St Jeor 1990 and the Lean approach on your actual bodyfat.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Complete TDEE calculator: the canonical formula BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Bodyfat-aware TDEE calculator with breakdown of the 4 metabolic components.<\/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 counting apps in 2026: 8 apps tested <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><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Accueil Accueil &nbsp;\/&nbsp; NEAT Pilier &middot; Science du m&eacute;tabolisme NEAT (Non-Exercise Activity Thermogenesis). Le guide complet pour comprendre et exploiter ta d&eacute;pense calorique cach&eacute;e. Le NEAT peut varier de +700&nbsp;kcal par jour entre deux individus de m&ecirc;me poids. Toutes les apps te demandent de cocher une case &laquo;&nbsp;l&eacute;g&egrave;rement actif&nbsp;&raquo;. Lean le calcule en temps [&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-1641","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>NEAT (Non-Exercise Activity Thermogenesis) - Lean<\/title>\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\/neat-depense-non-sportive\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NEAT (Non-Exercise Activity Thermogenesis) - Lean\" \/>\n<meta property=\"og:description\" content=\"Lean Accueil Accueil &nbsp;\/&nbsp; NEAT Pilier &middot; Science du m&eacute;tabolisme NEAT (Non-Exercise Activity Thermogenesis). Le guide complet pour comprendre et exploiter ta d&eacute;pense calorique cach&eacute;e. Le NEAT peut varier de +700&nbsp;kcal par jour entre deux individus de m&ecirc;me poids. Toutes les apps te demandent de cocher une case &laquo;&nbsp;l&eacute;g&egrave;rement actif&nbsp;&raquo;. 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Le guide complet pour comprendre et exploiter ta d&eacute;pense calorique cach&eacute;e. Le NEAT peut varier de +700&nbsp;kcal par jour entre deux individus de m&ecirc;me poids. Toutes les apps te demandent de cocher une case &laquo;&nbsp;l&eacute;g&egrave;rement actif&nbsp;&raquo;. 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