{"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\/es\/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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.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 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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\/es\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/es\/\">Inicio<\/a>\n  <div class=\"nav-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-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\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; NEAT<\/div>\n  <div class=\"eyebrow\">Pilier &middot; Science du m&eacute;tabolisme<\/div>\n  <h1 id=\"title\">NEAT (Non-Exercise Activity Thermogenesis).\n    <span class=\"alt\">Le guide complet pour comprendre et exploiter ta d&eacute;pense calorique cach&eacute;e.<\/span>\n  <\/h1>\n  <p class=\"dek\">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 r&eacute;el via ton podom&egrave;tre.<\/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>Tu cherches &agrave; calculer ton NEAT&nbsp;?<\/b> Le calculateur convertit tes pas r&eacute;els en kcal\/jour sur ton profil mesur&eacute;, sans aucune case &agrave; cocher. <a href=\"\/es\/calculateur-neat\/\" style=\"color:#FF2D6E;font-weight:600;text-decoration:underline\">Ouvrir le calculateur NEAT &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>L&rsquo;&eacute;quipe Lean<\/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\">T&eacute;l&eacute;chargement gratuit<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Le NEAT recouvre toute la d&eacute;pense physique hors sport structur&eacute; : marche, m&eacute;nage, gestuelle, position debout, escaliers. C&rsquo;est la composante la plus variable du TDEE, et aussi la plus n&eacute;glig&eacute;e. Lean la calcule via ton podom&egrave;tre, mise &agrave; jour toutes les heures.\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>D&eacute;mo interactive<\/small>Touchez l&rsquo;&eacute;cran pour explorer l&rsquo;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>D&eacute;mo interactive<\/small>Touchez l&rsquo;&eacute;cran<br>para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"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=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista Lean, pesta\u00f1a Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l&rsquo;app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">D&eacute;pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat&eacute;gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">R&eacute;ponse rapide<\/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; D&eacute;finition<\/span>NEAT, la 2e brique du TDEE<\/h2>\n<div class=\"body\">\n<p>El <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>Il s&rsquo;ins&egrave;re dans l&rsquo;&eacute;quation fondamentale du m&eacute;tabolisme :<\/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>El <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>L&rsquo;<b>adaptation m&eacute;tabolique<\/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>pas<\/b> dans la somme TDEE.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Voir aussi : <a href=\"\/es\/metabolisme-de-base\/\">Pilier BMR<\/a> &middot; <a href=\"\/es\/depense-energetique-totale-v2\/\">Pilier TDEE<\/a> &middot; <a href=\"\/es\/effet-thermique-des-aliments\/\">Pilier TEF<\/a> &middot; <a href=\"\/es\/calcul-metabolisme-de-base\/\">Calculateur BMR<\/a> &middot; <a href=\"\/es\/calculateur-tdee\/\">Calculadora TDEE<\/a>\n<\/div>\n\n<!-- 03. VARIABILITE -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Variabilit&eacute;<\/span>+700&nbsp;kcal d&rsquo;&eacute;cart entre individus de m&ecirc;me poids<\/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;15681386).<\/p>\n<p>La raison : les comportements moteurs involontaires (fidgeting, gestuelle, posture) sont profond&eacute;ment individuels. Ce qui est conscient, c&rsquo;est ton niveau d&rsquo;activit&eacute; de fond : est-ce que tu prends les escaliers ou l&rsquo;ascenseur, est-ce que tu restes debout au bureau, est-ce que tu marches entre deux r&eacute;unions.<\/p>\n<p>R&eacute;sultat pratique : si tu es dans un d&eacute;ficit calorique qui stagne, le NEAT est la premi&egrave;re variable &agrave; investiguer, avant d&rsquo;augmenter le cardio ou de baisser les apports.<\/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\">&laquo;&nbsp;NEAT entre individus peut varier de plus de 2&nbsp;000&nbsp;kJ\/j (478&nbsp;kcal\/j)&nbsp;&raquo;<\/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 profils<\/span>De s&eacute;dentaire &agrave; actif : l&rsquo;&eacute;cart chiffr&eacute;<\/h2>\n<div class=\"body\">\n<p>Trois profils concrets, calcul&eacute;s sur un homme de 80&nbsp;kg, 35 ans, 12&nbsp;% de masse grasse. Le BMR est identique dans les trois cas. Seul le NEAT change.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>S&eacute;dentaire<\/h4>\n    <div class=\"meta\">~3&nbsp;000 pas \/ jour &middot; Bureau assis &middot; voiture &middot; canap&eacute;<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estim&eacute;<\/span><span class=\"v\">230&nbsp;kcal \/ j<\/span><\/div>\n      <div class=\"rw\"><span>Coefficient PAL Mifflin<\/span><span class=\"v\">1.2 (s&eacute;dentaire)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (podom&egrave;tre)<\/span><span class=\"v\">Mesur&eacute; en temps r&eacute;el<\/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>Moyen<\/h4>\n    <div class=\"meta\">~8&nbsp;000 pas \/ jour &middot; T&eacute;l&eacute;travail &middot; courses &middot; sorties<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estim&eacute;<\/span><span class=\"v\">560&nbsp;kcal \/ j<\/span><\/div>\n      <div class=\"rw\"><span>Coefficient PAL Mifflin<\/span><span class=\"v\">1.55 (l&eacute;g&egrave;rement actif)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (podom&egrave;tre)<\/span><span class=\"v\">Mis &agrave; jour chaque heure<\/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>Actif<\/h4>\n    <div class=\"meta\">~15&nbsp;000 pas \/ jour &middot; Debout au bureau &middot; v&eacute;lo &middot; escaliers<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estim&eacute;<\/span><span class=\"v\">900&nbsp;kcal \/ j<\/span><\/div>\n      <div class=\"rw\"><span>Coefficient PAL Mifflin<\/span><span class=\"v\">1.725 (tr&egrave;s actif)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (podom&egrave;tre)<\/span><span class=\"v\">Mesur&eacute; par pas<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">670&nbsp;kcal de diff&eacute;rence vs s&eacute;dentaire. L&rsquo;&eacute;quivalent d&rsquo;un repas complet br&ucirc;l&eacute; sans sport suppl&eacute;mentaire.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Pourquoi les apps &eacute;chouent<\/span>PAL statique contre calcul dynamique<\/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>Le probl&egrave;me : ce coefficient ne change pas le lundi o&ugrave; tu fais 15&nbsp;000 pas versus le dimanche o&ugrave; tu ne sors pas du canap&eacute;. Si tu as coch&eacute; &laquo;&nbsp;l&eacute;g&egrave;rement actif&nbsp;&raquo; (PAL 1.375), tu as 1.375 pour toujours, peu importe ce que tu fais r&eacute;ellement.<\/p>\n<p>Johannsen &amp; Ravussin (2008, PMID&nbsp;18769211) 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 pour 20&nbsp;000 pas<\/h2>\n<div class=\"body\">\n<p>Un exemple concret : 20&nbsp;000 pas dans la journ&eacute;e pour un homme de 80&nbsp;kg, 12&nbsp;% de bodyfat.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>MyFitnessPal<\/h4>\n    <div class=\"meta\">Calcul PAL statique sur poids total<\/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 pas<\/span><span class=\"v\" style=\"color:#FF2D6E\">189&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M&eacute;thode<\/span><span class=\"v\">Pas &times; constante fixe<\/span><\/div>\n      <div class=\"rw\"><span>BMR pris en compte<\/span><span class=\"v\">No<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La plupart des apps multiplient simplement le nombre de pas par une constante g&eacute;n&eacute;rique. Le r&eacute;sultat est syst&eacute;matiquement sous-estim&eacute; car ton BMR r&eacute;el n&rsquo;entre pas dans le calcul.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">Calcul dynamique index&eacute; sur ton BMR r&eacute;el<\/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 pas<\/span><span class=\"v\" style=\"color:#27AE60\">705&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M&eacute;thode<\/span><span class=\"v\">Pas &times; f(BMR, masse maigre)<\/span><\/div>\n      <div class=\"rw lean\"><span>BMR pris en compte<\/span><span class=\"v\">Oui, via BodyScan IA<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Lean calibre le co&ucirc;t &eacute;nerg&eacute;tique de chaque pas sur ton profil m&eacute;tabolique complet. Le m&ecirc;me nombre de pas ne co&ucirc;te pas les m&ecirc;mes calories selon ta composition corporelle.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">Lean calcule ton NEAT en temps r&eacute;el, index&eacute; sur ton BMR r&eacute;el. T&eacute;l&eacute;chargement gratuit, essai 7 jours sur l&rsquo;annuel.<\/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>Pourquoi ton BMR change la valeur de chaque pas<\/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>La raison physiologique : la d&eacute;pense &agrave; l&rsquo;effort est proportionnelle &agrave; la masse m&eacute;taboliquement active (muscles, organes), pas au poids total. Deux individus de 80&nbsp;kg avec 12&nbsp;% et 22&nbsp;% de bodyfat ont respectivement 70,4&nbsp;kg et 62,4&nbsp;kg de masse maigre. Leur co&ucirc;t &eacute;nerg&eacute;tique pour le m&ecirc;me nombre de pas diff&egrave;re de pr&egrave;s de 12&nbsp;%. Appliqu&eacute; &agrave; 10&nbsp;000 pas par jour, l&rsquo;&eacute;cart atteint plusieurs dizaines de kilocalories, soit des centaines de kilocalories par semaine.<\/p>\n<p>Concr&egrave;tement : si ton calcul NEAT n&rsquo;est pas index&eacute; sur ton BMR r&eacute;el, tu peux &ecirc;tre en surplus calorique en pensant &ecirc;tre en d&eacute;ficit, ou inversement. C&rsquo;est exactement la m&eacute;canique qui explique les plateaux inexplicables en s&egrave;che.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Lean calcule ton NEAT sur ta masse maigre r&eacute;elle<\/div><p class=\"fd\">Gr&acirc;ce au BodyScan IA, Lean conna&icirc;t ton bodyfat. Il en d&eacute;duit ta masse maigre, calcule ton BMR via son mod&egrave;le propri&eacute;taire brevet&eacute;, et calibre le co&ucirc;t de chaque pas sur ce profil unique.<\/p><\/div><div class=\"fc\">Ultra-perso<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Le NEAT se recalibre &agrave; chaque mise &agrave; jour du profil<\/div><p class=\"fd\">Tu perds 3&nbsp;kg de gras en un mois ? Ton BMR change, et le co&ucirc;t de chaque pas est automatiquement recalcul&eacute; dans Lean. Les autres apps gardent leur constante d&eacute;finie &agrave; l&rsquo;inscription.<\/p><\/div><div class=\"fc\">Dynamique<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Deux personnes, m&ecirc;me marche, d&eacute;pense diff&eacute;rente<\/div><p class=\"fd\">Quelqu&rsquo;un avec un BMR de 1&nbsp;900&nbsp;kcal et quelqu&rsquo;un avec un BMR de 1&nbsp;500&nbsp;kcal ne br&ucirc;lent pas les m&ecirc;mes calories en marchant 10&nbsp;000 pas. Appliquer la m&ecirc;me constante g&eacute;n&eacute;rique aux deux est une erreur structurelle.<\/p><\/div><div class=\"fc\">Physio<\/div><\/div>\n<div class=\"body\">\n<p>C&rsquo;est la diff&eacute;rence entre un calcul NEAT g&eacute;n&eacute;rique et un calcul NEAT personnalis&eacute;. Lean est la seule app qui impl&eacute;mente cette architecture compl&egrave;te : BMR bodyfat-aware, NEAT index&eacute; sur ce BMR, TDEE dynamique &agrave; la kilocalorie pr&egrave;s.<\/p>\n<\/div>\n\n<!-- 08. APPAREILS CONNECTES -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; Appareils connect&eacute;s<\/span>Pourquoi ta montre surestime syst&eacute;matiquement ton NEAT<\/h2>\n<div class=\"body\">\n<p>Apple Watch, Garmin, Fitbit et les tapis de marche connect&eacute;s ont un point commun : ils ne connaissent pas ton BMR. Leur algorithme de calcul de d&eacute;pense s&rsquo;appuie sur une constante g&eacute;n&eacute;rique multipli&eacute;e par ton poids total, sans prise en compte de ta composition corporelle.<\/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\">Exemple concret : d&eacute;ficit calorique de &minus;100&nbsp;kcal\/jour vis&eacute;<\/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=\"\/es\/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; BodyScan IA<\/span>Le bodyfat r&eacute;el : la fondation du calcul NEAT de Lean<\/h2>\n<div class=\"body\">\n<p>Pour que le NEAT soit calcul&eacute; sur ton BMR r&eacute;el, il faut d&rsquo;abord conna&icirc;tre ton BMR r&eacute;el. Et pour &ccedil;a, il faut ton bodyfat, pas seulement ton poids. C&rsquo;est ici qu&rsquo;intervient le BodyScan IA de Lean.<\/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>mod&egrave;le propri&eacute;taire brevet&eacute;<\/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\/resultat-bodyfat-ia-homme-lean-app-1-514x1024.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>BodyScan IA<\/b> : bodyfat r&eacute;el en 5 secondes, depuis une photo<\/p>\n<\/div>\n<div class=\"body\">\n<p>Une photo, 5 secondes, et Lean conna&icirc;t ton bodyfat avec pr&eacute;cision. Ce chiffre alimente directement le calcul de ton BMR via le mod&egrave;le propri&eacute;taire brevet&eacute; Lean, qui sert &agrave; son tour de base au calcul de ton NEAT. C&rsquo;est l&rsquo;architecture en cha&icirc;ne que les autres apps ne proposent pas.<\/p>\n<\/div>\n\n<!-- 10. COMMENT LEAN CALCULE -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Lean &amp; NEAT<\/span>Calcul en temps r&eacute;el via le podom&egrave;tre<\/h2>\n<div class=\"body\">\n<p>Lean calcule ton NEAT &agrave; partir de ton podom&egrave;tre (Apple Sant&eacute; sur iOS, Sant&eacute; Connect sur Android) et l&rsquo;indexe sur ton profil m&eacute;tabolique complet. Chaque pas est comptabilis&eacute; et converti en &eacute;nergie selon ta composition corporelle r&eacute;elle.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Podom&egrave;tre continu en arri&egrave;re-plan<\/div><p class=\"fd\">Lean lit tes pas via Apple Sant&eacute; (iOS) ou Sant&eacute; Connect (Android) en arri&egrave;re-plan. Pas besoin d&rsquo;ouvrir l&rsquo;app pour que tes pas soient compt&eacute;s.<\/p><\/div><div class=\"fc\">Capteur<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT mis &agrave; jour toutes les heures<\/div><p class=\"fd\">Ton NEAT dans Lean change au fil de la journ&eacute;e. &Agrave; midi, tu vois ta d&eacute;pense NEAT r&eacute;elle de la matin&eacute;e, index&eacute;e sur ton BMR du moment.<\/p><\/div><div class=\"fc\">Temps r&eacute;el<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Ajout manuel de pas<\/div><p class=\"fd\">Tu as march&eacute; sans ton smartphone ? Tu peux ajouter (ou retirer) des pas manuellement dans la section NEAT de Lean via le bouton &laquo;&nbsp;+&nbsp;&raquo;. Ils sont imm&eacute;diatement int&eacute;gr&eacute;s dans ton bilan calorique.<\/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\">Flexibilit&eacute;<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Apple Watch, Garmin, Fitbit<\/div><p class=\"fd\">Si ta montre est synchronis&eacute;e avec Apple Sant&eacute; (iOS) ou Sant&eacute; Connect (Android), Lean utilise ses donn&eacute;es de pas (plus pr&eacute;cises que le seul smartphone), tout en recalibrant la d&eacute;pense sur ton BMR r&eacute;el.<\/p><\/div><div class=\"fc\">Int&eacute;gration<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Objectif calorique adaptatif<\/div><p class=\"fd\">Lean ajuste ton objectif journalier selon ton NEAT r&eacute;el. Si tu as march&eacute; 12&nbsp;000 pas ce matin, ton objectif calorique du soir tient compte de cette d&eacute;pense suppl&eacute;mentaire.<\/p><\/div><div class=\"fc\">Balance live<\/div><\/div>\n\n<!-- 11. TUTORIELS : ACTIVER LE PODOMETRE -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Tutoriels<\/span>Activer le podom&egrave;tre dans 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 : activer l&rsquo;acc&egrave;s aux pas dans 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>N\u00famero de pasos<\/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 : connecter Sant&eacute; Connect et l&rsquo;app fitness de ta marque<\/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=\"\/es\/calculateur-deficit-calorique\/\">Calculateur d&eacute;ficit calorique<\/a> &middot; <a href=\"\/es\/calculateur-tdee\/\">Calculateur TDEE complet<\/a> &middot; <a href=\"\/es\/metabolisme-de-base\/\">Pilier BMR<\/a> &middot; <a href=\"\/es\/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>Pourquoi la marche est class&eacute;e NEAT et non EAT<\/h2>\n<div class=\"body\">\n<p>La question revient souvent : la marche, c&rsquo;est du NEAT ou de l&rsquo;EAT ? La r&eacute;ponse repose sur les MET (Metabolic Equivalent of Task), l&rsquo;unit&eacute; utilis&eacute;e dans la litt&eacute;rature scientifique pour classer les activit&eacute;s physiques.<\/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>La marche se situe &agrave; la fronti&egrave;re : une marche lente (&lt;&nbsp;4&nbsp;km\/h) est &agrave; MET&nbsp;&asymp;&nbsp;2,5-3 ; une marche rapide (&gt;&nbsp;6&nbsp;km\/h) monte &agrave; MET&nbsp;4-5. Dans la litt&eacute;rature scientifique, la marche &agrave; allure normale est tr&egrave;s majoritairement class&eacute;e NEAT. Lean suit cette convention.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Activit&eacute;s NEAT (MET &lt; 3)<\/h4>\n    <div class=\"meta\">D&eacute;pense journali&egrave;re estim&eacute;e pour 8&nbsp;000 pas\/jour<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Marche douce<\/span><span class=\"v\">350&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Position debout<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Vaisselle, m&eacute;nage<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Autres micro-mouvements<\/span><span class=\"v\">60&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Total NEAT<\/span><span class=\"v\">~440&nbsp;kcal \/ j<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La marche repr&eacute;sente environ 80&nbsp;% du NEAT total pour un individu standard. C&rsquo;est pourquoi Lean base principalement sa mesure NEAT sur le nombre de pas.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Activit&eacute;s EAT (MET &gt; 3)<\/h4>\n    <div class=\"meta\">Exemples de sport structur&eacute; clairement au-dessus du seuil<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Course &agrave; pied (8&nbsp;km\/h)<\/span><span class=\"v\">MET 8<\/span><\/div>\n      <div class=\"rw\"><span>V&eacute;lo (mod&eacute;r&eacute;)<\/span><span class=\"v\">MET 6<\/span><\/div>\n      <div class=\"rw\"><span>Musculation (effort mod.)<\/span><span class=\"v\">MET 4-5<\/span><\/div>\n      <div class=\"rw lean\"><span>Comptabilis&eacute; dans Lean<\/span><span class=\"v\">Onglet EAT<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Si tu pratiques la course &agrave; pied et que ton podom&egrave;tre est actif, choisis dans Lean les exercices &laquo;&nbsp;NEAT incluse&nbsp;&raquo; pour &eacute;viter de doubler le comptage de tes pas.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. STRATEGIES NEAT -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Strat&eacute;gies NEAT<\/span>Je marche plus, je mange plus<\/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>L&rsquo;avantage du NEAT sur l&rsquo;EAT : pas de r&eacute;cup&eacute;ration requise, pas de risque de blessure, pas de stress hormonal du cardio intensif. Voici les leviers les plus efficaces.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+2&nbsp;000 pas = +70&nbsp;kcal (le minimum utile)<\/div><p class=\"fd\">Int&egrave;gre 2 blocs de marche de 10 minutes dans ta journ&eacute;e. Le matin entre deux t&acirc;ches, l&rsquo;apr&egrave;s-midi avant la r&eacute;union suivante. 20 minutes, +2&nbsp;000 pas, +70&nbsp;kcal sans toucher &agrave; ton programme sport.<\/p><\/div><div class=\"fc\">Quotidien<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Bureau debout 3h\/jour (+100 &agrave; 200&nbsp;kcal)<\/div><p class=\"fd\">Rester debout 3 heures au lieu d&rsquo;&ecirc;tre assis br&ucirc;le ~150&nbsp;kcal suppl&eacute;mentaires. L&rsquo;alternance assis\/debout toutes les 30 minutes est plus efficace qu&rsquo;un bloc debout unique.<\/p><\/div><div class=\"fc\">Bureau<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">V&eacute;lo domicile-boulot (+300 &agrave; 500&nbsp;kcal\/j)<\/div><p class=\"fd\">Un trajet v&eacute;lo de 20 minutes aller-retour &agrave; allure mod&eacute;r&eacute;e compte en NEAT si l&rsquo;effort reste sous MET&nbsp;3. Au-dessus (v&eacute;lo sportif, c&oelig;ur &eacute;lev&eacute;), c&rsquo;est de l&rsquo;EAT : &agrave; logger s&eacute;par&eacute;ment dans Lean.<\/p><\/div><div class=\"fc\">Transport<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Escaliers syst&eacute;matiquement (+50 &agrave; 100&nbsp;kcal\/j)<\/div><p class=\"fd\">Monter 10 &eacute;tages br&ucirc;le ~8&nbsp;kcal. 4 trajets\/jour dans un immeuble de 5 &eacute;tages = 32&nbsp;kcal. Sur 22 jours ouvr&eacute;s = 700&nbsp;kcal ce mois, sans une seule s&eacute;ance de sport suppl&eacute;mentaire.<\/p><\/div><div class=\"fc\">B&acirc;timent<\/div><\/div>\n<div class=\"body\">\n<p>Attention &agrave; l&rsquo;effet de compensation (Pontzer et al., 2021, PMID&nbsp;34385400) : si tu augmentes ton NEAT trop vite, ton corps peut r&eacute;duire partiellement d&rsquo;autres d&eacute;penses spontan&eacute;es. L&rsquo;augmentation r&eacute;elle est souvent 60 &agrave; 70&nbsp;% de la d&eacute;pense th&eacute;orique. Lean mod&eacute;lise cet effet dans son calcul de TDEE adapt&eacute;.<\/p>\n<\/div>\n\n<!-- 14. NEAT LIVE DANS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">14 &middot; NEAT live<\/span>Le suivi pas &agrave; pas dans Lean<\/h2>\n<div class=\"body\">\n<p>L&rsquo;onglet D&eacute;pense de Lean d&eacute;taille en temps r&eacute;el chaque composant du TDEE : BMR, NEAT, EAT, TEF. Le NEAT affich&eacute; correspond &agrave; tes pas r&eacute;els de la journ&eacute;e, convertis en kilocalories sur ton profil m&eacute;tabolique complet.<\/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; Objectifs<\/span>NEAT et strat&eacute;gie selon s&egrave;che, bulk ou recomp<\/h2>\n<p>Une fois ton NEAT pr&eacute;cis connu, l&rsquo;application pratique est directe. Trois objectifs, trois leviers.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>S&egrave;che (perte de gras)<\/h4>\n    <div class=\"meta\">Objectif : maximiser le NEAT sans sur-compensation<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Levier NEAT<\/span><span class=\"v\">+3&nbsp;000 pas \/ jour<\/span><\/div>\n      <div class=\"rw\"><span>Avantage<\/span><span class=\"v\">Sans stress hormonal du cardio<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calcule<\/span><span class=\"v\">Impact exact sur le d&eacute;ficit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Maximiser le NEAT est la strat&eacute;gie reine en s&egrave;che. Outil : <a href=\"\/es\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">calculateur de d&eacute;ficit calorique<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Bulk (prise de muscle)<\/h4>\n    <div class=\"meta\">Objectif : surplus contr&ocirc;l&eacute;, minimum de gain de gras<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Levier NEAT<\/span><span class=\"v\">Mod&eacute;r&eacute; (ne pas &eacute;roder le surplus)<\/span><\/div>\n      <div class=\"rw\"><span>Risque<\/span><span class=\"v\">NEAT trop haut r&eacute;duit le surplus net<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean affiche<\/span><span class=\"v\">Surplus net apr&egrave;s NEAT r&eacute;el<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">En bulk, Lean affiche le surplus r&eacute;el en temps r&eacute;el pour ajuster l&rsquo;apport pr&eacute;cis&eacute;ment.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomp (maintien + construction)<\/h4>\n    <div class=\"meta\">Objectif : pr&eacute;cision maximale sur apports et d&eacute;pense<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Levier NEAT<\/span><span class=\"v\">Outil de pr&eacute;cision &agrave; la kcal<\/span><\/div>\n      <div class=\"rw\"><span>Avantage<\/span><span class=\"v\">&Eacute;quilibre sans approximation<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calcule<\/span><span class=\"v\">Balance calorique live<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La recomposition exige une pr&eacute;cision maximale. Un NEAT calibr&eacute; sur ton BMR r&eacute;el est un avantage d&eacute;cisif.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 16. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; La Pyramide<\/span>Pyramide de Progression Lean<\/h2>\n<div class=\"body\">\n<p>La Pyramide de Progression Lean hi&eacute;rarchise les priorit&eacute;s pour atteindre ton objectif corporel. Le NEAT y occupe la 3e marche, apr&egrave;s l&rsquo;adh&eacute;rence alimentaire et l&rsquo;objectif calorique pr&eacute;cis.<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Pyramide de Progression Lean\">\n  <div class=\"level l1\"><span>Adh&eacute;rence<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Objectif calorique (TDEE pr&eacute;cis)<\/span><span class=\"k\">&Eacute;tage 2<\/span><\/div>\n  <div class=\"level l3\"><span>Pas \/ NEAT quotidien<\/span><span class=\"k\">&Eacute;tage 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutriments<\/span><span class=\"k\">Sommet<\/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>L&rsquo;<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>El <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>Sources scientifiques<\/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>Calcule ton NEAT sur ton bodyfat r&eacute;el<\/h3>\n  <p>Podom&egrave;tre int&eacute;gr&eacute;. NEAT recalcul&eacute; toutes les heures, index&eacute; sur ton BMR r&eacute;el. Mod&egrave;le propri&eacute;taire brevet&eacute;. Sans la constante g&eacute;n&eacute;rique d&rsquo;une Apple Watch ni le PAL fig&eacute; de MFP. T&eacute;l&eacute;chargement gratuit, essai de 7 jours sur l&rsquo;annuel.<\/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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M\u00e9thode de calcul Lean.<\/span><\/a><\/li><li><a href=\"\/es\/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&nbsp;: tu gasto deportivo real, sesi\u00f3n por sesi\u00f3n <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Los MET correctos, la trampa del doble conteo, lo que Garmin y MyFitnessPal pasan por alto.<\/span><\/a><\/li><li><a href=\"\/es\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Mejores aplicaciones para contar calor\u00edas en 2026&nbsp;: 8 aplicaciones probadas <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"\/es\/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;\">Calculateur NEAT : combien de calories br\u00fblent tes pas ? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Tes pas r\u00e9els convertis en kcal sur ton profil mesur\u00e9. Z\u00e9ro case \u00e0 cocher.<\/span><\/a><\/li><li><a href=\"\/es\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculateur de d\u00e9ficit calorique : la bonne approche pour une s\u00e8che <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sur ton vrai TDEE bodyfat-aware. 3 rythmes lent\/mod\u00e9r\u00e9\/agressif.<\/span><\/a><\/li><li><a href=\"\/es\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Comment calculer ta vraie d\u00e9pense calorique : le guide complet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sur bodyfat r\u00e9el, NEAT par pas, EAT par s\u00e9ance, TEF par 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\/es\/neat-depense-non-sportive\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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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