{"id":1835,"date":"2026-08-20T09:17:13","date_gmt":"2026-08-20T09:17:13","guid":{"rendered":"https:\/\/lean-app.com\/calculateur-neat\/"},"modified":"2026-08-22T13:28:50","modified_gmt":"2026-08-22T13:28:50","slug":"calculateur-neat","status":"publish","type":"post","link":"https:\/\/lean-app.com\/es\/calculateur-neat\/","title":{"rendered":"Calculateur NEAT : combien de calories br\u00fblent tes pas ?"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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.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-tdee{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px;text-align:center}\n#lvm-shell .calc-tdee .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-tdee .val{font-family:var(--font-display);font-size:40px;font-weight:600;letter-spacing:-.025em;margin-top:6px;color:var(--ink);line-height:1}\n#lvm-shell .calc-tdee .val .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-tdee .note{font-size:12px;color:var(--dim);margin-top:6px}\n#lvm-shell .scen-grid{display:grid;grid-template-columns:1fr;gap:10px;margin-top:4px}\n#lvm-shell .scen-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:14px 16px}\n#lvm-shell .scen-card.lent{border-left:4px solid #4CAF50}\n#lvm-shell .scen-card.mod{border-left:4px solid var(--pink)}\n#lvm-shell .scen-card.agg{border-left:4px solid #E84D44}\n#lvm-shell .scen-card .scen-h{display:flex;align-items:baseline;justify-content:space-between;gap:10px}\n#lvm-shell .scen-card .scen-name{font-family:var(--font-display);font-weight:600;font-size:15px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .scen-card .scen-pct{font-family:var(--font-mono);font-size:12px;color:var(--muted);font-weight:600}\n#lvm-shell .scen-card .scen-kcal{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .scen-card.mod .scen-kcal{color:var(--pink)}\n#lvm-shell .scen-card .scen-kcal .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .scen-card .scen-rate{font-size:13px;color:var(--ink-2);margin-top:4px}\n#lvm-shell .scen-card .scen-warn{font-size:12px;color:#B23030;margin-top:6px;line-height:1.4}\n#lvm-shell .calc-delta{margin-top:10px;padding:14px 16px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:14px;color:var(--ink);line-height:1.5}\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\/* 3 scenarios detailed cards *\/\n#lvm-shell .sce-detail{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .sce-detail .sd{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .sce-detail .sd.lent{border-left:4px solid #4CAF50}\n#lvm-shell .sce-detail .sd.mod{border-left:4px solid var(--pink)}\n#lvm-shell .sce-detail .sd.agg{border-left:4px solid #E84D44}\n#lvm-shell .sce-detail .sd .head{display:flex;align-items:baseline;justify-content:space-between;gap:10px;margin-bottom:6px;flex-wrap:wrap}\n#lvm-shell .sce-detail .sd h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .sce-detail .sd .pct{font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--muted)}\n#lvm-shell .sce-detail .sd.lent .pct{color:#4CAF50}\n#lvm-shell .sce-detail .sd.mod .pct{color:var(--pink)}\n#lvm-shell .sce-detail .sd.agg .pct{color:#E84D44}\n#lvm-shell .sce-detail .sd .lab{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin:10px 0 2px}\n#lvm-shell .sce-detail .sd p{margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)}\n\n\/* BodyScan illust (defensive inline-equivalent here) *\/\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\/* 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:\"\\2212 \"}\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\/* Body copy *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n\n\n\/* NEAT-specific styles, scoped #lvm-shell *\/\n#lvm-shell .neat-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:14px auto 10px;max-width:340px;overflow:hidden}\n#lvm-shell .neat-meter i{display:block;height:100%;width:30%;border-radius:6px;background:linear-gradient(90deg,#FFB25E,#FF8C00);transition:width .3s ease}\n#lvm-shell .neat-pill{display:inline-block;padding:5px 14px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase;font-family:var(--font-mono);color:#0E0E10}\n#lvm-shell .neat-pill.ok{background:#A8D5A0}\n#lvm-shell .neat-pill.warn{background:#FF8C00;color:#fff}\n#lvm-shell .neat-pill.alert{background:#E84D44;color:#fff}\n#lvm-shell .bmr-duo{display:grid;grid-template-columns:1fr;gap:12px}\n@media(min-width:640px){#lvm-shell .bmr-duo{grid-template-columns:1fr 1fr}}\n#lvm-shell .bd-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:16px 18px;text-align:center}\n\/* modificateur \"pas\" (PAS \"steps\" : #lvm-shell .steps existe deja dans le shell\n   comme stepper grid 5 colonnes, collision detectee au controle visuel desktop) *\/\n#lvm-shell .bd-card.pas{border-left:4px solid #FF8C00}\n#lvm-shell .bd-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 .bd-card .v{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .bd-card .v .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .bd-card .s{font-size:12px;color:var(--dim);margin-top:6px;line-height:1.45}\n#lvm-shell .bd-card .s b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px;margin-top:12px}\n#lvm-shell .share-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin-bottom:6px}\n#lvm-shell .share-card p{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .share-card b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:10px 0 4px;overflow:hidden}\n#lvm-shell .share-meter i{display:block;height:100%;width:20%;border-radius:6px;background:#FF8C00;transition:width .3s ease}\n#lvm-shell .reco-card{background:#fff;border:1px solid var(--rule);border-left:4px solid var(--pink);border-radius:12px;padding:18px 20px}\n#lvm-shell .reco-card .rc-title{font-family:var(--font-display);font-weight:600;font-size:16px;color:var(--ink);letter-spacing:-.01em;margin-bottom:6px}\n#lvm-shell .reco-card .rc-body{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .reco-card .rc-disclaimer{margin:12px 0 0;font-size:12px;line-height:1.5;color:var(--dim);border-top:1px solid var(--rule-soft);padding-top:10px}\n#lvm-shell .mvr{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .mvr .mv{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .mvr .mv.myth{border-left:4px solid #E84D44}\n#lvm-shell .mvr .mv.real{border-left:4px solid #4CAF50}\n#lvm-shell .mvr .mv .tag{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;font-family:var(--font-mono);margin-bottom:8px}\n#lvm-shell .mvr .mv.myth .tag{color:#E84D44}\n#lvm-shell .mvr .mv.real .tag{color:#4CAF50}\n#lvm-shell .mvr .mv h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0 0 8px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .mvr .mv p{margin:0 0 10px;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .mvr .mv p:last-child{margin-bottom:0}\n#lvm-shell .steps-out{font-family:var(--font-mono);font-size:13px;font-weight:700;color:#FF8C00;margin-left:8px}\n\/* keycards chiffrees couleur NEAT *\/\n#lvm-shell .key-grid{display:grid;grid-template-columns:1fr;gap:12px;margin:26px 0}\n@media(min-width:640px){#lvm-shell .key-grid{grid-template-columns:repeat(3,1fr)}}\n#lvm-shell .key-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px}\n#lvm-shell .key-card .kv{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:#FF8C00;line-height:1.1}\n#lvm-shell .key-card .kv span{font-size:13px;font-weight:500;color:var(--muted);margin-left:3px;letter-spacing:0}\n#lvm-shell .key-card .kl{font-size:13px;color:var(--dim);margin-top:6px;line-height:1.5}\n\/* aide bodyfat + popup BodyScan (zero lib externe) *\/\n#lvm-shell .bf-help{display:inline-block;background:none;border:0;padding:0;margin-top:8px;font-size:13px;font-weight:600;color:var(--pink);text-decoration:underline;cursor:pointer;font-family:inherit}\n#lvm-shell .bf-modal{position:fixed;inset:0;z-index:9999;display:none;align-items:center;justify-content:center;padding:18px}\n#lvm-shell .bf-modal.open{display:flex}\n#lvm-shell .bf-modal .bf-ovl{position:absolute;inset:0;background:rgba(14,14,16,.55)}\n#lvm-shell .bf-dialog{position:relative;background:#fff;border-radius:16px;max-width:340px;width:100%;padding:24px 22px 20px;text-align:center;box-shadow:0 24px 60px rgba(0,0,0,.25);max-height:88vh;overflow-y:auto}\n#lvm-shell .bf-dialog .bf-close{position:absolute;top:8px;right:10px;background:none;border:0;font-size:26px;line-height:1;color:#6E6E73;cursor:pointer;padding:6px}\n#lvm-shell .bf-dialog .bf-title{font-family:var(--font-display);font-size:19px;font-weight:600;color:var(--ink);letter-spacing:-.01em;margin:0 0 8px}\n#lvm-shell .bf-dialog .bf-text{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 14px}\n#lvm-shell .bf-dialog .bf-sub{font-size:12px;line-height:1.5;color:var(--dim);margin:14px 0}\n#lvm-shell .bf-dialog .bf-stores{display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap}\n#lvm-shell .bf-dialog .bf-stores img{height:40px;width:auto;display:block}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1835 #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-1835 #lvm-shell .wrap,\nbody.postid-1835 #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-1835 #lvm-shell .wrap,\n  body.postid-1835 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1835 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1835 #lvm-shell *{max-width:100%}\nbody.postid-1835 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1835 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1835 #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-1835 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1835 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1835 #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-1835 #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-1835 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1835 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1835 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1835 #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-1835 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1835 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1835 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1835 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1835 #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-1835 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1835 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1835 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1835 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1835 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1835 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1835 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1835 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1835 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1835 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1835 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1835 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1835 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1835 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1835 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1835 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1835 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1835 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1835 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1835 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1835 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1835 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1835 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#E15822!important;\n  }\n  body.postid-1835 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1835 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1835 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1835 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1835 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1835 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1835 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1835 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1835 #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-1835 #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-1835 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1835 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1835 #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-1835 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1835 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1835 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1835 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1835 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1835 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1835 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers : images ne doivent pas exploser *\/\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 .scr picture{display:block;width:100%;height:100%}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture img{width:100%!important;height:100%!important;object-fit:cover!important}\n#lvm-shell .pyramide-illust picture{display:block;width:100%}\n#lvm-shell .pyramide-illust picture img{width:100%!important;height:auto!important;border-radius:18px}<\/style>\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=calc-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=calc-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<div class=\"progress\"><i><\/i><\/div>\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; Calculateur NEAT<\/div>\n  <div class=\"eyebrow\">Calculateur &middot; Pas &amp; d\u00e9pense hors sport<\/div>\n  <h1 id=\"title\">Calculateur NEAT&nbsp;: combien br\u00fblent vraiment tes pas&nbsp;?\n    <span class=\"alt\">tes pas r\u00e9els, ton corps r\u00e9el : z\u00e9ro case \u00e0 cocher<\/span>\n  <\/h1>\n  <p class=\"dek\">Marche, posture, gestes du quotidien : le NEAT est la brique la plus variable de ta d\u00e9pense, jusqu&rsquo;\u00e0 700&nbsp;kcal\/jour d&rsquo;\u00e9cart entre deux personnes de m\u00eame poids (Levine 2005). Ce calculateur convertit tes pas r\u00e9els en kcal\/jour sur ton profil mesur\u00e9 (poids, taille, bodyfat), et les situe dans ta d\u00e9pense hors sport. Sans jamais te demander de te ranger dans une case.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>El equipo Lean<\/strong> &middot; Lecture 9&nbsp;min &middot; Mis \u00e0 jour 18 ao\u00fbt 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=calc-neat\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-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\">Descarga gratuita<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Les apps classiques te font cocher une case \u00ab\u00a0s\u00e9dentaire \/ l\u00e9g\u00e8rement actif\u00a0\u00bb une fois pour toutes, puis figent ta d\u00e9pense dessus pendant des mois. C&rsquo;est exactement ce que Lean refuse : ton podom\u00e8tre (HealthKit \/ Google Fit) alimente ton NEAT en continu, pas par pas, chaque jour. Cette page applique la m\u00eame logique : on ne te demande que des mesures, ton corps et tes pas, jamais une \u00e9tiquette.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demostraci\u00f3n interactiva<\/small>Toca la pantalla para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demostraci\u00f3n interactiva<\/small>Toca la pantalla<br>para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vista general de la aplicaci\u00f3n Lean con desglose del TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista Lean, pesta\u00f1a Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar por la aplicaci\u00f3n Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">R\u00e9ponse rapide<\/div>\n    <p>Le NEAT (Non-Exercise Activity Thermogenesis) est tout ce que tu br\u00fbles par l&rsquo;activit\u00e9 hors sport. Sa partie mesurable au quotidien, ce sont tes pas : environ <b>0,03 \u00e0 0,06&nbsp;kcal par pas<\/b> selon ton poids et ta taille, soit 250 \u00e0 450&nbsp;kcal pour 8&nbsp;000 pas et 300 \u00e0 550&nbsp;kcal pour 10&nbsp;000. S&rsquo;y ajoute une part posturale et de gestes, jusqu&rsquo;\u00e0 <b>+350&nbsp;kcal\/jour<\/b> debout vs assis (Levine 2005), qui ne se d\u00e9clare pas dans un menu : elle se mesure. Estime le NEAT de tes pas avec le calculateur ci-dessous.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Calculateur<\/span>Estime le NEAT de tes pas en kcal\/jour<\/h2>\n<p>Entre tes mesures : ton corps (poids, taille, bodyfat) et ta moyenne de pas. Rien d&rsquo;autre. Le calculateur convertit tes pas en kcal avec un co\u00fbt du pas ajust\u00e9 \u00e0 ton profil, calcule ton BMR sur ta masse maigre (370&nbsp;+&nbsp;21,6&nbsp;&times;&nbsp;FFM, la m\u00eame formule que notre <a href=\"\/es\/calculateur-tdee\/\">calculateur TDEE<\/a>), puis situe ton NEAT dans ta d\u00e9pense hors sport. C&rsquo;est une estimation p\u00e9dagogique \u00e0 formule transparente, pas une mesure : la vraie valeur se lit chaque jour sur tes pas r\u00e9els.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Tes mesures<\/h3>\n    <div class=\"calc-row\">\n      <label>Sexe<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Homme<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Femme<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">\u00c2ge (ans)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Poids (kg)<\/label><input id=\"cWeight\" type=\"number\" min=\"35\" max=\"200\" step=\"0.1\" value=\"75\"><\/div>\n    <div class=\"calc-row\"><label for=\"cHeight\">Taille (cm)<\/label><input id=\"cHeight\" type=\"number\" min=\"140\" max=\"220\" value=\"178\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cBodyfat\">Bodyfat<span class=\"steps-out\" id=\"bfVal\">15&nbsp;%<\/span><\/label>\n      <div class=\"calc-bf\"><input id=\"cBodyfat\" type=\"range\" min=\"5\" max=\"40\" step=\"0.5\" value=\"15\"><\/div>\n      <button type=\"button\" class=\"bf-help\" id=\"bfHelp\">Tu ne connais pas ton bodyfat&nbsp;?<\/button>\n      <div class=\"calc-note\" id=\"bfHint\">Fourchettes usuelles pour un homme : 10 \u00e0 25&nbsp;%. Ton sexe et ton \u00e2ge servent \u00e0 te situer ; le calcul lui-m\u00eame tourne sur ta masse maigre, o\u00f9 ils sont d\u00e9j\u00e0 largement captur\u00e9s.<\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cSteps\">Pas quotidiens (moyenne 7 jours)<span class=\"steps-out\" id=\"stepsVal\">8&#8239;000 pas<\/span><\/label>\n      <div class=\"calc-bf\"><input id=\"cSteps\" type=\"range\" min=\"1000\" max=\"30000\" step=\"500\" value=\"8000\"><\/div>\n      <div class=\"calc-note\">Tu ne connais pas ta moyenne ? Ouvre l&rsquo;app Sant\u00e9 de ton iPhone ou Google Fit : la moyenne des 7 derniers jours est la bonne valeur. C&rsquo;est exactement la donn\u00e9e que Lean lit en continu.<\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Le NEAT de tes pas<\/div>\n      <div class=\"val\"><span id=\"rNeat\">0<\/span><span class=\"unit\">kcal\/jour<\/span><\/div>\n      <div class=\"neat-meter\" aria-hidden=\"true\"><i id=\"neatBar\"><\/i><\/div>\n      <span class=\"neat-pill warn\" id=\"neatPill\">NEAT moyen<\/span>\n      <div class=\"note\">Tes pas uniquement, convertis sur ton profil r\u00e9el. La part posture et gestes existe aussi : elle se mesure, elle ne se d\u00e9clare pas (voir la science plus bas). Tes s\u00e9ances (EAT) s&rsquo;ajoutent par-dessus.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card pas\">\n        <div class=\"label\">Co\u00fbt de ton pas<\/div>\n        <div class=\"v\"><span id=\"rKps\">0,040<\/span><span class=\"u\">kcal\/pas<\/span><\/div>\n        <div class=\"s\">Foul\u00e9e estim\u00e9e <b id=\"rStride\">74<\/b> cm (0,414 &times; taille)<\/div>\n      <\/div>\n      <div class=\"bd-card\">\n        <div class=\"label\">BMR sur masse maigre<\/div>\n        <div class=\"v\"><span id=\"rBmr\">0<\/span><span class=\"u\">kcal\/j<\/span><\/div>\n        <div class=\"s\">370 + 21,6 &times; <b id=\"rFfm\">0<\/b> kg de masse maigre<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"share-card\">\n      <div class=\"label\">Part de ta d\u00e9pense hors sport<\/div>\n      <div class=\"share-meter\" aria-hidden=\"true\"><i id=\"shareBar\"><\/i><\/div>\n      <p>Tes pas repr\u00e9sentent environ <b id=\"rPart\">0<\/b>&#8239;% de ta d\u00e9pense hors sport estim\u00e9e : <b id=\"rTdee\">0<\/b> kcal\/j, soit BMR <b id=\"rBmr2\">0<\/b> + pas <b id=\"rNeat2\">0<\/b> + TEF estim\u00e9 <b id=\"rTef\">0<\/b>. La m\u00eame d\u00e9composition que dans l&rsquo;app, o\u00f9 chaque brique est mesur\u00e9e au lieu d&rsquo;\u00eatre suppos\u00e9e.<\/p>\n    <\/div>\n\n    <div class=\"calc-delta\" id=\"equivLine\">\n      Tes <b id=\"eSteps\">8&#8239;000<\/b> pas &asymp; <b id=\"eKcal\">0<\/b> kcal : l&rsquo;\u00e9quivalent de <b id=\"eRun\">0<\/b> minutes de course \u00e0 10&nbsp;km\/h, pour <b id=\"eKm\">0<\/b> km parcourus.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Recommandation<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">Estimation p\u00e9dagogique bas\u00e9e sur les valeurs publi\u00e9es (co\u00fbt \u00e9nerg\u00e9tique de la marche en MET, Ainsworth 2011 ; variabilit\u00e9 posturale, Levine 2005). Ce calculateur n&rsquo;est pas un outil de diagnostic et ne remplace pas un avis m\u00e9dical.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Ce calculateur donne une photo instantan\u00e9e avec une formule transparente. <b>Lean va plus loin :<\/b> ton podom\u00e8tre alimente ton NEAT en temps r\u00e9el, ton BMR est recalcul\u00e9 sur ton bodyfat mesur\u00e9 par BodyScan IA, et ta balance calorique du jour s&rsquo;ajuste \u00e0 chaque pas. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-neat\">Voir ton NEAT r\u00e9el dans Lean.<\/a>\n\n  <div class=\"stores-inline\" style=\"display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap;margin-top:14px\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podom%C3%A8tre\/id6738668646?utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=calc-neat\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" 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\" width=\"413\" height=\"122\" style=\"height:44px;width:auto;display:block\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=calc-neat\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" style=\"height:44px;width:auto;display:block\"><\/a><\/div>\n<\/div>\n\n<div class=\"bf-modal\" id=\"bfModal\" role=\"dialog\" aria-modal=\"true\" aria-labelledby=\"bfModalTitle\">\n  <div class=\"bf-ovl\" id=\"bfOvl\"><\/div>\n  <div class=\"bf-dialog\">\n    <button class=\"bf-close\" id=\"bfClose\" type=\"button\" aria-label=\"Fermer\">&times;<\/button>\n    <div class=\"bf-title\" id=\"bfModalTitle\">Tu ne connais pas ton bodyfat&nbsp;?<\/div>\n    <p class=\"bf-text\">Le BodyScan IA de Lean le mesure en 5&nbsp;secondes avec une simple photo : bodyfat, masse maigre et masse grasse, directement depuis ton t\u00e9l\u00e9phone.<\/p>\n    <div class=\"bodyscan-illust\" style=\"margin:0 auto;max-width:200px\">\n      <div class=\"mini-phone\" style=\"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;margin:0 auto\">\n        <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n        <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : bodyfat mesur\u00e9 depuis une photo, masse maigre et masse grasse\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n      <\/div>\n    <\/div>\n    <p class=\"bf-sub\">En attendant, laisse le curseur sur une valeur approch\u00e9e : mieux vaut un bodyfat approximatif qu&rsquo;un calcul qui ignore ta composition corporelle.<\/p>\n    <div class=\"bf-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=calc-neat\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\"><\/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=calc-neat\" target=\"_blank\" rel=\"noopener\"><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\"><\/a>\n    <\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; La science<\/span>Pourquoi le NEAT est le levier le plus sous-cot\u00e9<\/h2>\n\n<div class=\"statement\"><p>Ton NEAT peut varier du simple au triple. <span class=\"accent\">Et \u00e7a se mesure.<\/span><\/p><\/div>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">700<span>kcal\/j<\/span><\/div><div class=\"kl\">d&rsquo;\u00e9cart de NEAT possible entre deux personnes de m\u00eame poids (Levine 2005)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">2&#8239;h&#8239;30<\/div><div class=\"kl\">de position assise en plus par jour chez les sujets ob\u00e8ses, capteurs posturaux sur 10 jours (Science)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">+350<span>kcal\/j<\/span><\/div><div class=\"kl\">l&rsquo;\u00e9cart d&rsquo;allocation posturale debout vs assis, \u00e0 corpulence proche<\/div><\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Le terme vient de James Levine, qui a d\u00e9fini le <b>NEAT<\/b> (Non-Exercise Activity Thermogenesis) comme toute la thermogen\u00e8se d&rsquo;activit\u00e9 hors exercice volontaire : la marche du quotidien, la posture, les gestes, le fait de gigoter (Levine 2002). Sa mesure la plus marquante date de 2005, dans <i>Science<\/i> : \u00e9quip\u00e9s de capteurs de posture pendant 10 jours, les sujets ob\u00e8ses restaient assis <b>2&nbsp;h&nbsp;30 de plus par jour<\/b> que les sujets minces de corpulence proche ; adopter l&rsquo;allocation posturale des sujets minces repr\u00e9senterait environ <b>350&nbsp;kcal\/jour<\/b> de d\u00e9pense en plus. Entre un profil qui marche 3&nbsp;000 pas et un profil qui en marche 15&nbsp;000, l&rsquo;\u00e9cart atteint 700&nbsp;kcal\/jour. Aucune autre brique du TDEE ne varie autant d&rsquo;une personne \u00e0 l&rsquo;autre.<\/p>\n<p>Le co\u00fbt du pas, lui, se chiffre proprement avec les <b>MET<\/b> (\u00e9quivalents m\u00e9taboliques, compendium d&rsquo;Ainsworth 2011) : la marche \u00e0 allure mod\u00e9r\u00e9e co\u00fbte environ 3,3&nbsp;MET, soit, ramen\u00e9 \u00e0 la cadence, <b>0,03 \u00e0 0,06&nbsp;kcal par pas<\/b> selon ton poids et ta longueur de foul\u00e9e. C&rsquo;est la formule du calculateur ci-dessus : un pas de 90&nbsp;kg \u00ab\u00a0vaut\u00a0\u00bb 25&nbsp;% de plus qu&rsquo;un pas de 70&nbsp;kg, et aucun forfait unique ne peut refl\u00e9ter \u00e7a. En musculation, l&rsquo;ironie est connue : tes 23 heures hors salle p\u00e8sent souvent plus lourd dans ta d\u00e9pense que la s\u00e9ance elle-m\u00eame, et c&rsquo;est le NEAT qui les porte.<\/p>\n<p>Et la composante non-pas, alors ? Posture, gestes, fidget : elle est r\u00e9elle, Levine l&rsquo;a chiffr\u00e9e. Mais elle est <b>impossible \u00e0 d\u00e9clarer honn\u00eatement<\/b> : personne ne sait dire s&rsquo;il est \u00ab\u00a0s\u00e9dentaire \/ l\u00e9g\u00e8rement actif\u00a0\u00bb, et la r\u00e9ponse changerait chaque semaine. C&rsquo;est pourquoi ce calculateur ne te la demande pas : il chiffre tes pas, la partie mesurable de ton NEAT, et rien d&rsquo;autre. Lean capture le reste l\u00e0 o\u00f9 il se voit : dans la mesure continue de ton activit\u00e9 et de tes donn\u00e9es r\u00e9elles, pas dans une case coch\u00e9e le premier jour.<\/p>\n<p>O\u00f9 le NEAT se range-t-il dans l&rsquo;\u00e9quation ? Dans Lean, la d\u00e9pense se d\u00e9compose en <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. Le NEAT en est la brique la plus variable, celle que les questionnaires aplatissent en un multiplicateur fig\u00e9. L&rsquo;adaptation m\u00e9tabolique, elle, est la 5\u00e8me brique : un coefficient qui module le BMR (convention 100&rarr;0&nbsp;%), jamais un terme qu&rsquo;on additionne. Et en d\u00e9ficit prolong\u00e9, une partie du freinage passe justement par un NEAT qui baisse sans que tu t&rsquo;en rendes compte (Rosenbaum et Leibel 2010) : moins de gestes, moins de pas spontan\u00e9s, l&rsquo;ascenseur sans y penser.<\/p>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"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    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran D\u00e9pense de Lean : BMR, NEAT en pas r\u00e9els, EAT et TEF mesur\u00e9s s\u00e9par\u00e9ment\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n  <\/div>\n  <div class=\"bodyscan-cap\" style=\"font-size:13px;color:#6E6E73;text-align:center;line-height:1.5\"><b style=\"display:block;color:#0E0E10;font-weight:600;margin-bottom:3px\">Les 4 postes, mesur\u00e9s<\/b>L&rsquo;\u00e9cran D\u00e9pense de Lean : BMR, NEAT (17&#8239;094 pas r\u00e9els), EAT, TEF. Aucune case, que des donn\u00e9es.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Dernier point, mesur\u00e9 par le pilier NEAT de ce site : les montres et apps qui annoncent 700&nbsp;kcal pour une journ\u00e9e \u00e0 10&nbsp;000 pas surestiment la marche de 30 \u00e0 100&nbsp;%. La valeur r\u00e9elle pour un profil de 75&nbsp;kg tourne autour de 350 \u00e0 400&nbsp;kcal. Si tu construis un d\u00e9ficit sur une d\u00e9pense gonfl\u00e9e, ton plateau n&rsquo;a rien de myst\u00e9rieux : il \u00e9tait \u00e9crit d&rsquo;avance.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Pour la th\u00e9orie compl\u00e8te du NEAT, lis le <a href=\"\/es\/neat-depense-non-sportive\/\">pilier NEAT : la d\u00e9pense non sportive<\/a>, et pour la d\u00e9composition brique par brique, le guide <a href=\"\/es\/depense-energetique-totale-v2\/\">d\u00e9pense \u00e9nerg\u00e9tique totale<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Trois volumes de pas<\/span>De 3&#8239;000 \u00e0 15&#8239;000 pas : ce que \u00e7a change vraiment<\/h2>\n<p>Trois profils, trois volumes de pas mesur\u00e9s, trois NEAT. Aucune \u00e9tiquette : uniquement des mesures. Les chiffres sortent du calculateur de cette page, tu peux les reproduire en entrant les m\u00eames param\u00e8tres.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>3&#8239;000 pas \/ jour<\/h4>\n    <div class=\"meta\">Femme &middot; 31 ans &middot; 64&nbsp;kg &middot; 1m66 &middot; bodyfat 28&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Co\u00fbt du pas<\/span><span class=\"v\">0,032 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>NEAT des pas<\/span><span class=\"v\">&asymp;&nbsp;95 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>BMR (masse maigre 46,1&nbsp;kg)<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;365 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>Part de la d\u00e9pense hors sport<\/span><span class=\"v\">&asymp;&nbsp;6&nbsp;%<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Un NEAT de pas quasi nul : la plus grosse marge de progression de toute la d\u00e9pense. <b style=\"color:var(--pink)\">+2&#8239;000 pas\/jour = ~64 kcal de plus, sans une minute de sport.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>8&#8239;000 pas \/ jour<\/h4>\n    <div class=\"meta\">Homme &middot; 29 ans &middot; 75&nbsp;kg &middot; 1m78 &middot; bodyfat 15&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Co\u00fbt du pas<\/span><span class=\"v\">0,040 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>NEAT des pas<\/span><span class=\"v\">&asymp;&nbsp;319 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>BMR (masse maigre 63,8&nbsp;kg)<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;747 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>Part de la d\u00e9pense hors sport<\/span><span class=\"v\">&asymp;&nbsp;14&nbsp;%<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Une brique solide, quasi une collation br\u00fbl\u00e9e par jour, tous les jours. <b style=\"color:var(--pink)\">\u00c0 ce volume, la compter juste devient d\u00e9cisif.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>15&#8239;000 pas \/ jour<\/h4>\n    <div class=\"meta\">Homme &middot; 35 ans &middot; 84&nbsp;kg &middot; 1m82 &middot; bodyfat 20&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Co\u00fbt du pas<\/span><span class=\"v\">0,046 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>NEAT des pas<\/span><span class=\"v\">&asymp;&nbsp;685 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>BMR (masse maigre 67,2&nbsp;kg)<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;822 kcal\/j<\/span><\/div>\n      <div class=\"rw\"><span>Part de la d\u00e9pense hors sport<\/span><span class=\"v\">&asymp;&nbsp;25&nbsp;%<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Un quart de la d\u00e9pense hors sport : l&rsquo;\u00e9craser dans un multiplicateur fig\u00e9 fausse tout le plan. <b style=\"color:var(--pink)\">Ici, le podom\u00e8tre n&rsquo;est pas un gadget, c&rsquo;est la donn\u00e9e ma\u00eetresse.<\/b><\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; La mesure en continu<\/span>Comment Lean transforme tes pas en kcal, en temps r\u00e9el<\/h2>\n\n<div class=\"body\">\n<p>Un calculateur en ligne, m\u00eame honn\u00eate, fige ton NEAT sur une moyenne d\u00e9clar\u00e9e. Or ton NEAT change tous les jours : 4&nbsp;000 pas un dimanche pluvieux, 14&nbsp;000 un samedi de march\u00e9. C&rsquo;est exactement pour \u00e7a que Lean le mesure au lieu de le supposer :<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. Podom\u00e8tre natif branch\u00e9<\/h4>\n    <div class=\"meta\">HealthKit (iOS) \/ Google Fit (Android)<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Tes pas sont lus en continu depuis ton t\u00e9l\u00e9phone, sans saisie. Chaque pas est converti en kcal sur TON profil mesur\u00e9 (poids, taille, masse maigre), pas sur un forfait g\u00e9n\u00e9rique.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. NEAT s\u00e9par\u00e9 de l&rsquo;EAT<\/h4>\n    <div class=\"meta\">Pas de double comptage<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Pendant une s\u00e9ance track\u00e9e, les pas sont neutralis\u00e9s c\u00f4t\u00e9 NEAT : ta course compte dans l&rsquo;EAT, pas deux fois. La fronti\u00e8re entre les briques reste propre.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. Balance calorique live<\/h4>\n    <div class=\"meta\">Ton objectif du jour bouge avec tes pas<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Une grosse journ\u00e9e de marche augmente ta cible kcal du jour en direct. Un dimanche canap\u00e9 la r\u00e9duit. Ton d\u00e9ficit reste constant, m\u00eame quand ton NEAT ne l&rsquo;est pas.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. Le NEAT sous surveillance en d\u00e9ficit<\/h4>\n    <div class=\"meta\">Le freinage invisible, rendu visible<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">En s\u00e8che, le NEAT baisse sans pr\u00e9venir : moins de pas spontan\u00e9s, moins de gestes. Lean le voit dans tes donn\u00e9es, pendant que l&rsquo;<a href=\"\/es\/calculateur-adaptation-metabolique\/\">adaptation m\u00e9tabolique<\/a> (coefficient 100&rarr;0&nbsp;% sur le BMR) est suivie \u00e0 part.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"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    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT de Lean : pas quotidiens convertis en kcal en continu\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n  <\/div>\n  <div class=\"bodyscan-cap\" style=\"font-size:13px;color:#6E6E73;text-align:center;line-height:1.5\"><b style=\"display:block;color:#0E0E10;font-weight:600;margin-bottom:3px\">\u00c9cran NEAT de Lean<\/b>Tes pas convertis en kcal, en continu. Pas de case coch\u00e9e : une mesure.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Cette logique vit dans la <b>Pir\u00e1mide de Progresi\u00f3n<\/b> de Lean : adh\u00e9rence &gt; objectif calorique &gt; pas. Les pas sont un pilier \u00e0 part enti\u00e8re, pas une option. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-neat\">Voir la Pyramide dans l&rsquo;app<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Mythe vs r\u00e9alit\u00e9<\/span>Les 10&#8239;000 pas ne sont pas un chiffre magique<\/h2>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">1965<\/div><div class=\"kl\">l&rsquo;origine des 10&#8239;000 pas : le marketing du manpo-kei, un podom\u00e8tre japonais, pas un laboratoire<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">300-550<span>kcal<\/span><\/div><div class=\"kl\">ce que valent vraiment 10&#8239;000 pas selon ton poids et ta foul\u00e9e<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">+2&#8239;000<span>pas<\/span><\/div><div class=\"kl\">&asymp; 80 \u00e0 120 kcal\/j selon ton gabarit : le palier de progression qui compte<\/div><\/div>\n<\/div>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">Le mythe<\/div>\n    <h4>\u00ab\u00a0Il faut 10&#8239;000 pas par jour, sinon \u00e7a ne compte pas\u00a0\u00bb<\/h4>\n    <p>Le chiffre rond ne vient pas d&rsquo;un laboratoire : il vient du marketing d&rsquo;un podom\u00e8tre japonais des ann\u00e9es 1960, le manpo-kei, litt\u00e9ralement \u00ab\u00a0compteur 10&#8239;000 pas\u00a0\u00bb. Le slogan \u00e9tait bon, il est devenu une norme mondiale, puis un seuil culpabilisant : sous 10&#8239;000, \u00e9chec ; au-dessus, mission accomplie.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">La r\u00e9alit\u00e9 mesur\u00e9e<\/div>\n    <h4>Un continuum, pas un seuil<\/h4>\n    <p>La synth\u00e8se de Tudor-Locke (2011) d\u00e9crit un continuum sans seuil magique : sous 5&#8239;000 pas\/jour le volume est bas, 7&#8239;500 \u00e0 9&#8239;999 est d\u00e9j\u00e0 un bon niveau, 10&#8239;000 et plus un volume \u00e9lev\u00e9. Les b\u00e9n\u00e9fices commencent bien avant 10&#8239;000 et ne s&rsquo;arr\u00eatent pas \u00e0 10&#8239;000 : chaque tranche de 2&#8239;000 pas compte.<\/p>\n    <p>Sur le plan \u00e9nerg\u00e9tique, ce sont des kcal, pas des pas, qui font ton bilan : 10&#8239;000 pas valent ~350 kcal pour un profil de 70&nbsp;kg et ~500 kcal pour un profil de 100&nbsp;kg. Le bon objectif est relatif : ta moyenne actuelle +2&#8239;000, tenue tous les jours, vaut mieux qu&rsquo;un 10&#8239;000 h\u00e9ro\u00efque le lundi suivi de trois jours \u00e0 3&#8239;000.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>La cons\u00e9quence pratique : fixe ton objectif de pas depuis ta moyenne r\u00e9elle des 7 derniers jours, pas depuis un chiffre culturel. Et compte tes pas en kcal ajust\u00e9es \u00e0 ton profil, pas au forfait : c&rsquo;est toute la diff\u00e9rence entre un d\u00e9ficit th\u00e9orique et un d\u00e9ficit qui existe vraiment.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Pour situer ton NEAT dans ta d\u00e9pense compl\u00e8te : le <a href=\"\/es\/calculateur-tdee\/\">calculateur TDEE<\/a> et le guide <a href=\"\/es\/calculer-vraie-depense-calorique\/\">calculer ta vraie d\u00e9pense calorique<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Tout ce que tu te demandes sur le NEAT et tes pas<\/h2>\n<details class=\"faq\"><summary>Qu&rsquo;est-ce que le NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Le NEAT (Non-Exercise Activity Thermogenesis) est l&rsquo;\u00e9nergie que tu br\u00fbles par toute activit\u00e9 physique hors sport : marcher, rester debout, cuisiner, porter tes courses, gigoter. C&rsquo;est la brique la plus variable de la d\u00e9pense \u00e9nerg\u00e9tique : jusqu&rsquo;\u00e0 700 kcal\/jour d&rsquo;\u00e9cart entre deux personnes de m\u00eame poids selon les mesures de Levine. Dans l&rsquo;\u00e9quation TDEE = BMR + NEAT + EAT + TEF, c&rsquo;est la deuxi\u00e8me brique, et la seule qui se lit directement sur un podom\u00e8tre.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Comment calculer son NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>La partie mesurable, ce sont tes pas : multiplie ta moyenne quotidienne par un co\u00fbt de 0,03 \u00e0 0,06 kcal par pas, ajust\u00e9 \u00e0 ton poids et ta longueur de foul\u00e9e (poids x foul\u00e9e x 0,000722). Pour situer ce NEAT dans ta d\u00e9pense, il faut aussi un BMR fiable : il se calcule sur ta masse maigre (370 + 21,6 x FFM), donc avec ton bodyfat. La part posture et gestes, elle, ne peut pas se d\u00e9clarer honn\u00eatement dans un menu : elle se mesure en continu. C&rsquo;est pourquoi le calculateur de cette page ne demande que des mesures : ton corps et tes pas.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Combien de calories pour 10 000 pas de marche&nbsp;?<\/summary><div class=\"faq-body\"><p>Entre 300 et 550 kcal selon ton profil. La fourchette d\u00e9pend surtout de ton poids et de ta longueur de foul\u00e9e : environ 350 kcal pour 70 kg, 400 kcal pour 75 kg et 1m78, plus de 500 kcal au-del\u00e0 de 95 kg. M\u00e9fie-toi des montres qui affichent 700 kcal pour la m\u00eame journ\u00e9e : la surestimation mesur\u00e9e va de 30 \u00e0 100 %.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Combien de calories br\u00fble un seul pas&nbsp;?<\/summary><div class=\"faq-body\"><p>Environ 0,03 \u00e0 0,06 kcal, selon ton poids et ta taille. La formule du calculateur : co\u00fbt du pas = poids x longueur de foul\u00e9e x 0,000722, d\u00e9riv\u00e9e du co\u00fbt de la marche mod\u00e9r\u00e9e (3,3 MET, compendium d&rsquo;Ainsworth 2011). \u00c7a para\u00eet minuscule, mais \u00e0 8 000 ou 12 000 pas par jour, ce sont des centaines de kcal quotidiennes, tous les jours de l&rsquo;ann\u00e9e.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Le NEAT compte-t-il la musculation&nbsp;?<\/summary><div class=\"faq-body\"><p>Non. Tes s\u00e9ances (musculation, course, v\u00e9lo) rel\u00e8vent de l&rsquo;EAT (Exercise Activity Thermogenesis), une brique s\u00e9par\u00e9e du TDEE. En revanche, le NEAT est crucial en musculation : tes 23 heures hors salle br\u00fblent souvent plus que ta s\u00e9ance elle-m\u00eame. Beaucoup de pratiquants surestiment leur s\u00e9ance et ignorent leur NEAT, alors que c&rsquo;est lui qui fait la diff\u00e9rence entre deux personnes au m\u00eame programme.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Pourquoi mon NEAT baisse-t-il en d\u00e9ficit calorique&nbsp;?<\/summary><div class=\"faq-body\"><p>C&rsquo;est une des formes de l&rsquo;adaptation m\u00e9tabolique : en d\u00e9ficit prolong\u00e9, le corps r\u00e9duit inconsciemment les mouvements spontan\u00e9s. Tu gigotes moins, tu marches moins vite, tu prends l&rsquo;ascenseur sans y penser. Cette baisse peut annuler une partie de ton d\u00e9ficit sans que ta discipline soit en cause. La parade : un objectif de pas explicite et suivi, pour que le NEAT reste un choix, pas une variable subie.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Comment augmenter son NEAT sans faire plus de sport&nbsp;?<\/summary><div class=\"faq-body\"><p>Ancre des pas dans des habitudes existantes : descendre un arr\u00eat plus t\u00f4t, appels t\u00e9l\u00e9phoniques en marchant, escaliers par d\u00e9faut, une marche de 10 minutes apr\u00e8s chaque repas. Vise ta moyenne actuelle plus 2 000 pas, tenue tous les jours, plut\u00f4t qu&rsquo;un gros objectif intenable. Chaque tranche de 2 000 pas vaut environ 80 \u00e0 120 kcal selon ton gabarit : trois habitudes suffisent \u00e0 changer ta d\u00e9pense.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Faut-il vraiment 10 000 pas par jour&nbsp;?<\/summary><div class=\"faq-body\"><p>Non, ce n&rsquo;est pas un seuil scientifique : le chiffre vient du marketing d&rsquo;un podom\u00e8tre japonais des ann\u00e9es 1960. La litt\u00e9rature (Tudor-Locke 2011) d\u00e9crit un continuum : sous 5 000 pas le volume est bas, 7 500 \u00e0 10 000 est d\u00e9j\u00e0 un bon niveau, et les b\u00e9n\u00e9fices continuent au-del\u00e0. Le bon objectif se fixe depuis ta moyenne r\u00e9elle des 7 derniers jours, pas depuis un chiffre rond.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Ma montre connect\u00e9e surestime-t-elle mes calories de marche&nbsp;?<\/summary><div class=\"faq-body\"><p>Souvent, oui. Les surestimations mesur\u00e9es sur la d\u00e9pense de marche vont de 30 \u00e0 100 % selon les appareils : une journ\u00e9e \u00e0 10 000 pas affich\u00e9e \u00e0 700 kcal vaut plut\u00f4t 350 \u00e0 400 kcal pour un profil de 75 kg. Si tu manges ces calories fant\u00f4mes, ton d\u00e9ficit dispara\u00eet. Un calcul par MET ajust\u00e9 \u00e0 ton poids et ta taille, comme celui de cette page et de Lean, reste plus proche des valeurs publi\u00e9es.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Ce calculateur donne-t-il une mesure exacte de mon NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Non. Il estime la partie pas de ton NEAT, depuis des mesures que tu fournis (poids, taille, bodyfat, moyenne de pas) et les valeurs publi\u00e9es du co\u00fbt de la marche. Il n&rsquo;inclut volontairement pas la part posture et gestes : elle varie trop pour tenir dans une case, quelle qu&rsquo;elle soit. Ton NEAT r\u00e9el change chaque jour avec tes pas ; c&rsquo;est pour \u00e7a que Lean le mesure en continu via ton podom\u00e8tre au lieu de le figer. Et dans tous les cas, ni cette page ni l&rsquo;app ne remplacent un avis m\u00e9dical.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Sources scientifiques<\/h4>\n  <ol>\n    <li>Levine JA. Non-exercise activity thermogenesis (NEAT). Best Pract Res Clin Endocrinol Metab. 2002 Dec;16(4):679-702. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a>.<\/li>\n    <li>Levine JA, Lanningham-Foster LM, McCrady SK, et al. Interindividual variation in posture allocation: possible role in human obesity. Science. 2005 Jan;307(5709):584-6. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15681386\/\" target=\"_blank\" rel=\"noopener\">PubMed 15681386<\/a>.<\/li>\n    <li>Ainsworth BE, Haskell WL, Herrmann SD, et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011 Aug;43(8):1575-81. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/li>\n    <li>Tudor-Locke C, Craig CL, Brown WJ, et al. How many steps\/day are enough? For adults. Int J Behav Nutr Phys Act. 2011 Jul;8:79. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21798015\/\" target=\"_blank\" rel=\"noopener\">PubMed 21798015<\/a>.<\/li>\n    <li>Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. Int J Obes (Lond). 2010 Oct;34 Suppl 1:S47-55. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20935667\/\" target=\"_blank\" rel=\"noopener\">PubMed 20935667<\/a>.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Ton NEAT, mesur\u00e9 en continu<\/h3>\n  <p>Podom\u00e8tre natif branch\u00e9 sur HealthKit et Google Fit, kcal ajust\u00e9es \u00e0 ton profil, balance calorique qui bouge avec tes pas. La d\u00e9pense la plus variable de ta journ\u00e9e, enfin compt\u00e9e juste. T\u00e9l\u00e9chargement gratuit, essai de 7&nbsp;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=calc-neat\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'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=calc-neat\" 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<\/main>\n<\/div>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Article\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-neat\/#article\",\n      \"headline\": \"Calculateur NEAT : combien br\u00fblent vraiment tes pas, sur ton corps r\u00e9el\",\n      \"description\": \"Estime ton NEAT en kcal\/jour \u00e0 partir de tes pas r\u00e9els, ton poids, ta taille et ton bodyfat. 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C'est la brique la plus variable de la d\u00e9pense \u00e9nerg\u00e9tique : jusqu'\u00e0 700 kcal\/jour d'\u00e9cart entre deux personnes de m\u00eame poids selon les mesures de Levine. Dans l'\u00e9quation TDEE = BMR + NEAT + EAT + TEF, c'est la deuxi\u00e8me brique, et la seule qui se lit directement sur un podom\u00e8tre.\"}},\n        {\"@type\": \"Question\", \"name\": \"Comment calculer son NEAT ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"La partie mesurable, ce sont tes pas : multiplie ta moyenne quotidienne par un co\u00fbt de 0,03 \u00e0 0,06 kcal par pas, ajust\u00e9 \u00e0 ton poids et ta longueur de foul\u00e9e (poids x foul\u00e9e x 0,000722). Pour situer ce NEAT dans ta d\u00e9pense, il faut aussi un BMR fiable : il se calcule sur ta masse maigre (370 + 21,6 x FFM), donc avec ton bodyfat. La part posture et gestes, elle, ne peut pas se d\u00e9clarer honn\u00eatement dans un menu : elle se mesure en continu. C'est pourquoi le calculateur de cette page ne demande que des mesures : ton corps et tes pas.\"}},\n        {\"@type\": \"Question\", \"name\": \"Combien de calories pour 10 000 pas de marche ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Entre 300 et 550 kcal selon ton profil. La fourchette d\u00e9pend surtout de ton poids et de ta longueur de foul\u00e9e : environ 350 kcal pour 70 kg, 400 kcal pour 75 kg et 1m78, plus de 500 kcal au-del\u00e0 de 95 kg. M\u00e9fie-toi des montres qui affichent 700 kcal pour la m\u00eame journ\u00e9e : la surestimation mesur\u00e9e va de 30 \u00e0 100 %.\"}},\n        {\"@type\": \"Question\", \"name\": \"Combien de calories br\u00fble un seul pas ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Environ 0,03 \u00e0 0,06 kcal, selon ton poids et ta taille. La formule du calculateur : co\u00fbt du pas = poids x longueur de foul\u00e9e x 0,000722, d\u00e9riv\u00e9e du co\u00fbt de la marche mod\u00e9r\u00e9e (3,3 MET, compendium d'Ainsworth 2011). \u00c7a para\u00eet minuscule, mais \u00e0 8 000 ou 12 000 pas par jour, ce sont des centaines de kcal quotidiennes, tous les jours de l'ann\u00e9e.\"}},\n        {\"@type\": \"Question\", \"name\": \"Le NEAT compte-t-il la musculation ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non. Tes s\u00e9ances (musculation, course, v\u00e9lo) rel\u00e8vent de l'EAT (Exercise Activity Thermogenesis), une brique s\u00e9par\u00e9e du TDEE. En revanche, le NEAT est crucial en musculation : tes 23 heures hors salle br\u00fblent souvent plus que ta s\u00e9ance elle-m\u00eame. Beaucoup de pratiquants surestiment leur s\u00e9ance et ignorent leur NEAT, alors que c'est lui qui fait la diff\u00e9rence entre deux personnes au m\u00eame programme.\"}},\n        {\"@type\": \"Question\", \"name\": \"Pourquoi mon NEAT baisse-t-il en d\u00e9ficit calorique ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"C'est une des formes de l'adaptation m\u00e9tabolique : en d\u00e9ficit prolong\u00e9, le corps r\u00e9duit inconsciemment les mouvements spontan\u00e9s. Tu gigotes moins, tu marches moins vite, tu prends l'ascenseur sans y penser. Cette baisse peut annuler une partie de ton d\u00e9ficit sans que ta discipline soit en cause. La parade : un objectif de pas explicite et suivi, pour que le NEAT reste un choix, pas une variable subie.\"}},\n        {\"@type\": \"Question\", \"name\": \"Comment augmenter son NEAT sans faire plus de sport ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Ancre des pas dans des habitudes existantes : descendre un arr\u00eat plus t\u00f4t, appels t\u00e9l\u00e9phoniques en marchant, escaliers par d\u00e9faut, une marche de 10 minutes apr\u00e8s chaque repas. Vise ta moyenne actuelle plus 2 000 pas, tenue tous les jours, plut\u00f4t qu'un gros objectif intenable. Chaque tranche de 2 000 pas vaut environ 80 \u00e0 120 kcal selon ton gabarit : trois habitudes suffisent \u00e0 changer ta d\u00e9pense.\"}},\n        {\"@type\": \"Question\", \"name\": \"Faut-il vraiment 10 000 pas par jour ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non, ce n'est pas un seuil scientifique : le chiffre vient du marketing d'un podom\u00e8tre japonais des ann\u00e9es 1960. La litt\u00e9rature (Tudor-Locke 2011) d\u00e9crit un continuum : sous 5 000 pas le volume est bas, 7 500 \u00e0 10 000 est d\u00e9j\u00e0 un bon niveau, et les b\u00e9n\u00e9fices continuent au-del\u00e0. Le bon objectif se fixe depuis ta moyenne r\u00e9elle des 7 derniers jours, pas depuis un chiffre rond.\"}},\n        {\"@type\": \"Question\", \"name\": \"Ma montre connect\u00e9e surestime-t-elle mes calories de marche ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Souvent, oui. Les surestimations mesur\u00e9es sur la d\u00e9pense de marche vont de 30 \u00e0 100 % selon les appareils : une journ\u00e9e \u00e0 10 000 pas affich\u00e9e \u00e0 700 kcal vaut plut\u00f4t 350 \u00e0 400 kcal pour un profil de 75 kg. Si tu manges ces calories fant\u00f4mes, ton d\u00e9ficit dispara\u00eet. Un calcul par MET ajust\u00e9 \u00e0 ton poids et ta taille, comme celui de cette page et de Lean, reste plus proche des valeurs publi\u00e9es.\"}},\n        {\"@type\": \"Question\", \"name\": \"Ce calculateur donne-t-il une mesure exacte de mon NEAT ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non. Il estime la partie pas de ton NEAT, depuis des mesures que tu fournis (poids, taille, bodyfat, moyenne de pas) et les valeurs publi\u00e9es du co\u00fbt de la marche. Il n'inclut volontairement pas la part posture et gestes : elle varie trop pour tenir dans une case, quelle qu'elle soit. Ton NEAT r\u00e9el change chaque jour avec tes pas ; c'est pour \u00e7a que Lean le mesure en continu via ton podom\u00e8tre au lieu de le figer. Et dans tous les cas, ni cette page ni l'app ne remplacent un avis m\u00e9dical.\"}}\n      ]\n    },\n    {\n      \"@type\": \"MobileApplication\",\n      \"@id\": \"https:\/\/lean-app.com\/#app\",\n      \"name\": \"Lean\",\n      \"applicationCategory\": \"HealthApplication\",\n      \"operatingSystem\": \"iOS, Android\",\n      \"description\": \"Tracker calories et m\u00e9tabolisme avec BodyScan IA : le NEAT mesur\u00e9 en continu via le podom\u00e8tre, pas un multiplicateur fig\u00e9.\",\n      \"aggregateRating\": {\"@type\": \"AggregateRating\", \"ratingValue\": \"4.7\", \"ratingCount\": \"1000\"},\n      \"offers\": {\"@type\": \"Offer\", \"price\": \"0\", \"priceCurrency\": \"EUR\"}\n    }\n  ]\n}\n<\/script>\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\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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Formule transparente, sourcee :\n  \/\/ Levine 2002 (PubMed 12468415, definition et ampleur du NEAT),\n  \/\/ Levine 2005 (15681386, allocation posturale, ~350 kcal\/j assis vs debout,\n  \/\/              EXPLIQUEE dans le texte, JAMAIS saisie par l'utilisateur),\n  \/\/ Ainsworth 2011 (21681120, MET marche moderee ~3.3),\n  \/\/ Tudor-Locke 2011 (21798015, classification pas\/jour),\n  \/\/ Rosenbaum & Leibel 2010 (20935667, baisse du NEAT en deficit).\n  \/\/\n  \/\/ Inputs canoniques Lean UNIQUEMENT (miroir du \/calculateur-tdee\/ live) :\n  \/\/ sexe, age, poids, taille, bodyfat, pas. AUCUNE categorie declarative.\n  \/\/\n  \/\/   NEAT des pas :\n  \/\/     foulee (m) = 0.414 x taille (m)\n  \/\/     kcal\/pas   = poids x foulee x 0.000722\n  \/\/                  (= 3.3 MET x 3.5 x poids \/ 200 par minute, cadence\n  \/\/                   ramenee a 80 m\/min : ~0.03-0.06 kcal\/pas selon profil)\n  \/\/     NEAT_pas   = pas x kcal\/pas\n  \/\/   BMR Lean sur masse maigre (formule affichee sur le site) :\n  \/\/     FFM = poids x (1 - bodyfat\/100)\n  \/\/     BMR = 370 + 21.6 x FFM\n  \/\/   Part de la depense hors sport (l'EAT s'ajoute par-dessus) :\n  \/\/     TEF estime = (BMR + NEAT_pas) \/ 9   [~10 % a maintenance]\n  \/\/     depense hors sport = BMR + NEAT_pas + TEF\n  \/\/   Equivalents : km = pas x foulee \/ 1000 ;\n  \/\/                 minutes de course a 10 km\/h (9.8 MET, Ainsworth 2011).\n  \/\/   Le NEAT est une brique de TDEE = BMR + NEAT + EAT + TEF.\n  \/\/ ============================================================\n  var LEAN_LANG = (((document.documentElement && document.documentElement.lang)||'').toLowerCase().indexOf('en')===0 || location.pathname.indexOf('\/en\/')===0) ? 'en' : 'fr';\n  function T(fr,en){return LEAN_LANG==='en'?en:fr;}\n  function byId(id){ return document.getElementById(id); }\n  function getSex(){\n    var r = document.querySelector('input[name=sex]:checked');\n    return r ? r.value : 'M';\n  }\n  function fmt(n){ return LEAN_LANG==='en' ? Math.round(n).toLocaleString('en-US') : Math.round(n).toLocaleString('fr-FR'); }\n  function fmt3(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:3, maximumFractionDigits:3}); }\n  function fmt1(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:1, maximumFractionDigits:1}); }\n  function clamp(v, lo, hi){ return Math.max(lo, Math.min(hi, v)); }\n  function compute(){\n    var sex = getSex();\n    var age = parseFloat(byId('cAge').value) || 0;\n    var w = parseFloat(byId('cWeight').value) || 0;\n    var h = parseFloat(byId('cHeight').value) || 0;\n    var bf = parseFloat(byId('cBodyfat').value) || 0;\n    var steps = parseFloat(byId('cSteps').value) || 0;\n    byId('stepsVal').textContent = fmt(steps) + T(' pas',' steps');\n    byId('bfVal').textContent = fmt1(bf) + '\\u202F%';\n    byId('bfHint').textContent = (sex === 'F')\n      ? T('Fourchettes usuelles pour une femme : 18 \u00e0 32\\u202F%. Ton sexe et ton \u00e2ge servent \u00e0 te situer ; le calcul lui-m\u00eame tourne sur ta masse maigre, o\u00f9 ils sont d\u00e9j\u00e0 largement captur\u00e9s.','Typical ranges for a woman: 18 to 32%. Sex and age help you locate yourself; the formula itself runs on your lean mass, where they are already largely captured.')\n      : T('Fourchettes usuelles pour un homme : 10 \u00e0 25\\u202F%. Ton sexe et ton \u00e2ge servent \u00e0 te situer ; le calcul lui-m\u00eame tourne sur ta masse maigre, o\u00f9 ils sont d\u00e9j\u00e0 largement captur\u00e9s.','Typical ranges for a man: 10 to 25%. Sex and age help you locate yourself; the formula itself runs on your lean mass, where they are already largely captured.');\n    if (!w) return;\n    if (!h) return;\n    \/\/ 1) pas -> kcal (cout du pas ajuste poids + taille)\n    var stride = 0.414 * h \/ 100;\n    var kps = w * stride * 0.000722;\n    var stepKcal = steps * kps;\n    \/\/ 2) BMR Lean sur masse maigre (370 + 21.6 x FFM)\n    var ffm = w * (1 - bf \/ 100);\n    var bmr = 370 + 21.6 * ffm;\n    \/\/ 3) part de la depense hors sport (TEF ~10 % a maintenance)\n    var tef = (bmr + stepKcal) \/ 9;\n    var out = bmr + stepKcal + tef;\n    var part = stepKcal \/ out * 100;\n    \/\/ 4) equivalents\n    var km = steps * stride \/ 1000;\n    var runPerMin = 9.8 * 3.5 * w \/ 200;\n    var runMin = runPerMin > 0 ? stepKcal \/ runPerMin : 0;\n    \/\/ Affichage\n    byId('rNeat').textContent = fmt(stepKcal);\n    byId('neatBar').style.width = clamp(stepKcal \/ 900 * 100, 4, 100) + '%';\n    var pill = byId('neatPill');\n    if (stepKcal >= 500) { pill.className = 'neat-pill ok'; pill.textContent = T('NEAT de pas \u00e9lev\u00e9','High step NEAT'); }\n    else if (stepKcal >= 200) { pill.className = 'neat-pill warn'; pill.textContent = T('NEAT de pas moyen','Average step NEAT'); }\n    else { pill.className = 'neat-pill alert'; pill.textContent = T('NEAT de pas bas','Low step NEAT'); }\n    byId('rKps').textContent = fmt3(kps);\n    byId('rStride').textContent = fmt(stride * 100);\n    byId('rBmr').textContent = fmt(bmr);\n    byId('rFfm').textContent = fmt1(ffm);\n    byId('rPart').textContent = fmt(part);\n    byId('rTdee').textContent = fmt(out);\n    byId('rBmr2').textContent = fmt(bmr);\n    byId('rNeat2').textContent = fmt(stepKcal);\n    byId('rTef').textContent = fmt(tef);\n    byId('shareBar').style.width = clamp(part, 4, 100) + '%';\n    byId('eSteps').textContent = fmt(steps);\n    byId('eKcal').textContent = fmt(stepKcal);\n    byId('eRun').textContent = fmt(runMin);\n    byId('eKm').textContent = fmt1(km);\n    var title = byId('recoTitle');\n    var body = byId('recoBody');\n    if (steps < 5000) {\n      title.textContent = T('Moins de 5\\u202F000 pas : ton levier n.1','Under 5,000 steps: your number one lever');\n      body.textContent = T('Sous 5\\u202F000 pas, ton NEAT est la plus grosse marge de progression de toute ta d\u00e9pense, avant m\u00eame le sport. Vise ta moyenne actuelle plus 2\\u202F000 pas, ancr\u00e9e \u00e0 des habitudes existantes : un arr\u00eat plus t\u00f4t, les escaliers par d\u00e9faut, 10 minutes de marche apr\u00e8s les repas.','Below 5,000 steps, your NEAT is the biggest untapped lever in your whole energy expenditure, even before exercise. Aim for your current average plus 2,000 steps, anchored to existing habits: one stop earlier, stairs by default, a 10-minute walk after meals.');\n    } else if (steps < 10000) {\n      title.textContent = T('Bonne base : consolide-la','Good base: consolidate it');\n      body.textContent = T('Tu es dans la zone active de la litt\u00e9rature. Le plus rentable maintenant : la r\u00e9gularit\u00e9. Une moyenne stable entre 8\\u202F000 et 10\\u202F000 pas, sans journ\u00e9es \u00e0 z\u00e9ro, vaut mieux qu\\u2019un pic h\u00e9ro\u00efque par semaine. Et compte ces pas en kcal ajust\u00e9es \u00e0 ton profil, pas au forfait.','You are in the active zone of the literature. The most profitable move now: consistency. A stable 8,000 to 10,000 step average, with no zero days, beats one heroic spike a week. And count those steps in kcal adjusted to your profile, not a flat rate.');\n    } else if (steps < 15000) {\n      title.textContent = T('NEAT solide : compte-le juste','Solid NEAT: count it right');\n      body.textContent = T('\u00c0 ce volume, tes pas p\u00e8sent des centaines de kcal par jour : l\\u2019erreur d\\u2019un multiplicateur fig\u00e9 se chiffre en repas entiers. Ta priorit\u00e9 n\\u2019est plus d\\u2019en faire plus, c\\u2019est de les compter juste, jour apr\u00e8s jour, avec un podom\u00e8tre branch\u00e9 sur ton bilan calorique.','At this volume, your steps are worth hundreds of kcal a day: the error of a fixed multiplier adds up to entire meals. Your priority is no longer doing more, it is counting them right, day after day, with a pedometer wired into your calorie balance.');\n    } else {\n      title.textContent = T('NEAT tr\u00e8s \u00e9lev\u00e9 : surveille la pr\u00e9cision','Very high NEAT: watch the precision');\n      body.textContent = T('Tes pas sont un pilier de ta d\u00e9pense. Deux vigilances : la pr\u00e9cision (chaque pour cent d\\u2019erreur vaut des dizaines de kcal) et la d\u00e9rive en d\u00e9ficit, o\u00f9 le NEAT baisse sans pr\u00e9venir. Suis tes pas en continu et recalcule ta cible sur tes donn\u00e9es r\u00e9elles.','Your steps are a pillar of your expenditure. Two things to watch: precision (every percent of error is worth dozens of kcal) and the drift in a deficit, where NEAT drops without warning. Track your steps continuously and recalculate your target on your real data.');\n    }\n    if (age >= 50) {\n      body.textContent = body.textContent + T(' Avec l\\u2019\u00e2ge, le NEAT spontan\u00e9 recule naturellement : l\\u2019objectif de pas explicite compte encore plus.',' With age, spontaneous NEAT naturally declines: an explicit step target matters even more.');\n    }\n  }\n  ['cAge','cWeight','cHeight','cBodyfat','cSteps'].forEach(function(id){\n    var el = byId(id);\n    if (el) { el.addEventListener('input', compute); el.addEventListener('change', compute); }\n  });\n  document.querySelectorAll('input[name=sex]').forEach(function(el){ el.addEventListener('change', compute); });\n  compute();\n  \/\/ ---- popup BodyScan (aide bodyfat), zero lib externe ----\n  var modal = byId('bfModal');\n  function bfOpen(){ modal.classList.add('open'); document.body.style.overflow = 'hidden'; }\n  function bfShut(){ modal.classList.remove('open'); document.body.style.overflow = ''; }\n  if (modal) {\n    byId('bfHelp').addEventListener('click', bfOpen);\n    byId('bfClose').addEventListener('click', bfShut);\n    byId('bfOvl').addEventListener('click', bfShut);\n    document.addEventListener('keydown', function(e){ if (e.key === 'Escape') bfShut(); });\n  }\n})();\n<\/script>\n\n<script>\n(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n})();\n<\/script>\n\n<!-- lean-mesh-draft -->\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;\">Leer tambi\u00e9n<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/es\/neat-depense-non-sportive\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT&nbsp;: el gasto cal\u00f3rico fuera del deporte que pesa entre el 15 y el 50% de tu TDEE <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Pasos, desplazamientos, movimiento espont\u00e1neo. Por qu\u00e9 Mifflin se equivoca al ignorar tu actividad.<\/span><\/a><\/li><li><a href=\"\/es\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculateur TDEE : la formule canonique BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculateur bodyfat-aware avec breakdown des 4 briques m\u00e9taboliques.<\/span><\/a><\/li><li><a href=\"\/es\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calcul du m\u00e9tabolisme de base : la formule la plus pr\u00e9cise (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Harris-Benedict 1919 vs Mifflin 1990 vs Lean bodyfat-aware.<\/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\/calculateur-adaptation-metabolique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculateur d&rsquo;adaptation m\u00e9tabolique : ton m\u00e9tabolisme a-t-il ralenti ? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Coefficient 100 \u00e0 0 %, BMR adapt\u00e9 en kcal\/jour, et quand faire un diet break.<\/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><li><a href=\"\/es\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE)&nbsp;: la f\u00f3rmula can\u00f3nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entiende las 4 piezas + la adaptaci\u00f3n metab\u00f3lica, fuentes cient\u00edficas 2025.<\/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><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Calcule ton NEAT en kcal\/jour depuis tes pas r\u00e9els : co\u00fbt du pas ajust\u00e9 \u00e0 ton poids et ta taille, BMR sur ta masse maigre. Des mesures, z\u00e9ro case \u00e0 cocher.<\/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":[13],"tags":[],"class_list":["post-1835","post","type-post","status-publish","format-standard","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Calculateur NEAT : combien de calories br\u00fblent tes pas ?<\/title>\n<meta name=\"description\" content=\"Calcule ton NEAT en kcal\/jour depuis tes pas r\u00e9els : co\u00fbt du pas ajust\u00e9 \u00e0 ton poids et ta taille, BMR sur ta masse maigre. 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