{"id":1641,"date":"2026-05-27T21:55:30","date_gmt":"2026-05-27T21:55:30","guid":{"rendered":"https:\/\/lean-app.com\/?p=1641"},"modified":"2026-08-22T13:37:49","modified_gmt":"2026-08-22T13:37:49","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 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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 loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/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  \n<div class=\"tool-jump\" style=\"margin:18px 0 4px;padding:14px 18px;background:#FFF3F7;border:1px solid #FFD6E4;border-left:4px solid #FF2D6E;border-radius:0 10px 10px 0\"><p style=\"margin:0;font-size:15px;line-height:1.55;color:#1a1a2e\"><b>Looking to calculate your NEAT?<\/b> The calculator converts your real steps into kcal\/day on your measured profile, with no checkboxes. <a href=\"\/en\/calculateur-neat\/\" style=\"color:#FF2D6E;font-weight:600;text-decoration:underline\">Open the NEAT calculator &rarr;<\/a><\/p><\/div>\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; 10&nbsp;min read &middot; Updated May 27, 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>The NEAT (Non-Exercise Activity Thermogenesis) is the caloric expenditure linked to daily physical activities outside structured sport. It is part of the equation <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. It is the most variable component: between a sedentary person and someone walking 15,000 steps a day, the gap reaches 700&nbsp;kcal per day.<\/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> is the energy burned by all daily physical activities that are not structured sport and are not part of basal metabolism. In plain terms: walking to the coffee shop, fidgeting while talking, doing the dishes, climbing stairs, gardening, grocery shopping, standing.<\/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) is the resting expenditure. The<b>EAT<\/b> (Exercise Activity Thermogenesis) covers your workout sessions. The <b>TEF<\/b> (Thermic Effect of Food) is the heat produced during digestion. NEAT covers everything else, and it is often the easiest component to increase, without adding a single workout session.<\/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> in the TDEE sum.<\/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\/effet-thermique-des-aliments\/\">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>This is the most surprising finding: two people of the same weight, same age, same morphology can have a NEAT that differs by <b>700 kcal per day<\/b>. This is not an estimate: it is the figure measured by James A. Levine in a study published in <em>Science<\/em> (2005, PMID&nbsp;15681386).<\/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 15681386<\/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\">The &ldquo;sedentary&rdquo; checkbox in MyFitnessPal or Yazio applies this PAL for <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 difference vs sedentary profile. The equivalent of half a workout session, without going to the gym.<\/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>When you set up MyFitnessPal or Yazio, you are asked for your &ldquo;activity level&rdquo;. You check a box: <em>s&eacute;dentaire<\/em>, <em>l&eacute;g&egrave;rement actif<\/em>, <em>mod&eacute;r&eacute;ment actif<\/em>. And that checkbox defines a PAL (Physical Activity Level) coefficient that applies to your BMR forever.<\/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 18769211) measured that NEAT estimation errors via static PAL can reach 30&nbsp;%. <b>300 to 500 kcal per day<\/b>. That is the order of magnitude that explains a deficit that &ldquo;is not working&rdquo; or unexplained weight gain while &ldquo;eating well&rdquo;.<\/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>This is the argument that most articles on NEAT overlook. The caloric cost of a step is not a constant: it depends on your <b>masse maigre r&eacute;elle<\/b>, therefore on your 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>Result: a systematic overestimation of <b>+30&nbsp;% &agrave; +100&nbsp;%<\/b> on walking expenditure. On a 10,000-step day, an Apple Watch can display 700 kcal where the real value is around 350 kcal.<\/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\">Your watch shows 700 kcal for 1h of walking (10,000 steps). Real value: ~350 kcal. Overestimation: +350 kcal\/day. <b>+1&nbsp;750&nbsp;kcal. Tu &eacute;tais en surplus.<\/b><\/p>\n<\/blockquote>\n<div class=\"body\">\n<p>This error can entirely undermine a caloric deficit. Lean integrates your watch data via Apple Health or Health Connect, but <b>recalibrates on your actual BMR<\/b>. You benefit from your watch sensor precision without absorbing its systematic calculation bias.<\/p>\n<p>Voir aussi : <a href=\"\/en\/metabolisme-de-base\/\" style=\"color:var(--pink)\">BMR Pillar: why bodyfat changes everything about your basal metabolic rate<\/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>Most apps calculate BMR from total weight (Harris-Benedict 1919, Mifflin-St Jeor 1990). Lean calculates it on your real lean mass. <b>masse maigre estim&eacute;e via bodyfat<\/b>, gr&acirc;ce &agrave; un <b>proprietary patented model<\/b>. Two individuals at 80&nbsp;kg with 12&nbsp;% and 22&nbsp;% bodyfat have a BMR that differs by 200&nbsp;kcal per day. If you are wrong about BMR, your NEAT (and the entire TDEE) is wrong from the foundation.<\/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> : actual bodyfat in 5 seconds, from a 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>First, Lean needs access to your step data. The path differs depending on your smartphone. Official Lean tutorials: <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> on your iPhone. In the search bar at the top, type &ldquo;health&rdquo;. Tap <b>Acc&egrave;s aux donn&eacute;es et appareils<\/b>, puis sur <b>Lean<\/b> in the list. Verify that <b>Step Count Integration<\/b> is indeed checked.<\/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> on the Play Store, open it, then go to <b>Autorisations des applications &gt; Lean<\/b> et coche <b>Pas<\/b>. <b>2. Download your device brand's fitness app<\/b> : Google Fit (Google), Samsung Health (Samsung), Huawei Health (Huawei), Lifelog (Sony) or your brand's health app. In this app, verify that step tracking is enabled. <b>3. In Health Connect<\/b>, autorise cette app fitness &agrave; partager &laquo;&nbsp;Pas&nbsp;&raquo; en lecture et &eacute;criture. <b>V&eacute;rification<\/b> : Health Connect &gt; Data &amp; access &gt; Activity &gt; Steps &gt; See all entries: data should appear (take a few steps if it is empty).<\/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 = the energy expended at seated rest. The NEAT\/EAT boundary is set at <b>MET&nbsp;=&nbsp;3<\/b> : below that, it is NEAT; above, it is 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>The fundamental principle of NEAT: each additional step increases your expenditure, which increases your caloric target. <b>From sedentary to active: the measured gap<\/b> This is the fair trade that athletes in a cut understand quickly: rather than lowering intake, increase expenditure.<\/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 in real time, indexed on your actual BMR<\/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\">Maximizing NEAT is the top strategy in a cut. Tool: <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\">Do not skip steps. An accurate TDEE on actual bodyfat is level 2. But if you do not track your NEAT regularly, macros change nothing.<\/div>\n\n<!-- 17. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">17 &middot; FAQ<\/span>Everything you are wondering about NEAT<\/h2>\n\n<details class=\"faq\"><summary>What is the difference between NEAT and EAT?<\/summary><div class=\"faq-body\"><p>The<b>EAT (Exercise Activity Thermogenesis)<\/b> covers your structured workout sessions (weight training, running, cycling). The <b>NEAT<\/b> covers all the rest of daily activities: walking, housework, gestures, stairs. The boundary is at MET&nbsp;=&nbsp;3: below that is NEAT, above that is EAT. Both are calculated separately in the equation TDEE = BMR + NEAT + EAT + TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Why does my Apple Watch overestimate my calories?<\/summary><div class=\"faq-body\"><p>The Apple Watch calculates your walking expenditure without access to your actual BMR. It applies a generic constant multiplied by your weight, with no account for body composition. Result: an overestimation of +30 to +100&nbsp;% depending on the profile. Lean recalibrates your watch data on your bodyfat-aware BMR to eliminate this bias.<\/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>Directly: actual deficit = intake &minus; (BMR + NEAT + EAT + TEF). If your NEAT increases by 300&nbsp;kcal that day, your TDEE increases by 300&nbsp;kcal and your deficit deepens. In Lean, the daily caloric target adjusts in real time as your NEAT progresses throughout the day.<\/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>Yes, this is metabolic adaptation. In prolonged deficit, the body involuntarily reduces NEAT (less fidgeting, less motivation to move). Rosenbaum et al. (2010) measured a reduction that can reach 150&nbsp;kcal\/day in severe deficit. Lean models metabolic adaptation separately, as a multiplicative coefficient of BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>How many steps per day for optimal NEAT in a cut?<\/summary><div class=\"faq-body\"><p>Levine and Healy data point to 8,000 to 12,000 steps\/day as the high-NEAT zone without over-compensation.<\/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>Yes, this is the central principle. Each additional step increases your TDEE, which increases the caloric target calculated by Lean. The formula: <b>I walk more = I eat more<\/b>, while staying within your target. In a cut, this is often preferable to lowering intake, as it limits food frustration.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Which sensor does Lean use for NEAT?<\/summary><div class=\"faq-body\"><p>Lean lit les pas depuis <b>Apple Sant&eacute;<\/b> (iOS) ou <b>Sant&eacute; Connect<\/b> (Android, the service that replaced Google Fit since 2024). Your smartphone or connected watch accelerometer (Apple Watch, Garmin, Fitbit, Samsung Galaxy Watch) feeds these platforms. If your watch is synced, Lean uses its data while recalibrating the expenditure on your actual BMR, not on the watch's internal constant.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>What is fidgeting and how does it impact NEAT?<\/summary><div class=\"faq-body\"><p>The <em>fidgeting<\/em> refers to involuntary micro-movements (rocking, gesturing, tapping fingers). Levine (2005) showed that highly fidgety individuals burn up to 350&nbsp;kcal more per day at identical activity. This behavior is largely unconscious, which is why measuring NEAT via pedometer matters more than estimating it via static PAL.<\/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\/15681386\/\" target=\"_blank\" rel=\"noopener\">PubMed 15681386<\/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\/18252901\/\" target=\"_blank\" rel=\"noopener\">PubMed 18252901<\/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\/18769211\/\" target=\"_blank\" rel=\"noopener\">PubMed 18769211<\/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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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 --><!-- \/lean-mesh-v2-pillar-neat-OUTGOING-ONLY -->\n\n\n<!-- lean-mesh-v15 -->\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\/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 (BMR): everything you need to know to calculate it accurately <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definition, TDEE equation, 4 historical formulas, why bodyfat changes everything.<\/span><\/a><\/li><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;\">Total Daily Energy Expenditure (TDEE): the canonical formula BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Understand the 4 components + metabolic adaptation, scientific sources 2025.<\/span><\/a><\/li><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;\">TEF: the thermic effect of food based on your macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10% of TDEE on average, 25% if high protein. Lean&rsquo;s calculation method.<\/span><\/a><\/li><li><a href=\"\/en\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: your real workout expenditure, session by session <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Correct MET values, the double-counting trap, what Garmin and MyFitnessPal miss.<\/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;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-neat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT Calculator: How Many Calories Do Your Steps Burn? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Your real steps converted into kcal on your measured profile. Zero checkboxes.<\/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;\">Deficit on your real bodyfat-aware TDEE. 3 paces: slow \/ moderate \/ aggressive.<\/span><\/a><\/li><li><a href=\"\/en\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">How to calculate your real daily calorie burn: the complete guide <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR on actual body fat, NEAT from steps, EAT per session, TEF from macros, adaptation.<\/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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