{"id":1587,"date":"2026-05-26T22:52:45","date_gmt":"2026-05-26T22:52:45","guid":{"rendered":"https:\/\/lean-app.com\/?p=1587"},"modified":"2026-08-20T10:56:14","modified_gmt":"2026-08-20T10:56:14","slug":"metabolisme-de-base","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/","title":{"rendered":"M\u00e9tabolisme de base : tout ce qu&rsquo;il faut savoir pour le calculer pr\u00e9cis\u00e9ment (BMR expliqu\u00e9)"},"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\" 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.k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}\n\n\/* Calculator-specific styles, scoped #lvm-shell *\/\n#lvm-shell .calc-board{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n@media(min-width:780px){#lvm-shell .calc-board{grid-template-columns:1fr 1fr;gap:24px}}\n#lvm-shell .calc-inputs{background:#FAF7F2;border-radius:14px;padding:22px;border:1px solid var(--rule-soft)}\n#lvm-shell .calc-inputs h3{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 16px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .calc-row{margin:0 0 14px}\n#lvm-shell .calc-row label{display:block;font-size:13px;color:var(--muted);margin-bottom:6px;font-weight:500}\n#lvm-shell .calc-row input,#lvm-shell .calc-row select{width:100%;padding:11px 13px;border:1px solid var(--rule);border-radius:9px;font-size:16px;background:#fff;color:var(--ink);font-family:var(--font-text);box-sizing:border-box}\n#lvm-shell .calc-row input:focus,#lvm-shell .calc-row select:focus{outline:2px solid var(--pink);outline-offset:1px;border-color:var(--pink)}\n#lvm-shell .calc-sex{display:flex;gap:8px}\n#lvm-shell .calc-sex label{flex:1;display:flex;align-items:center;justify-content:center;gap:6px;padding:11px 8px;background:#fff;border:1px solid var(--rule);border-radius:9px;cursor:pointer;margin:0;font-size:14px;font-weight:500;color:var(--ink)}\n#lvm-shell .calc-sex input{display:none}\n#lvm-shell .calc-sex input:checked + span{color:var(--pink);font-weight:600}\n#lvm-shell .calc-sex label:has(input:checked){border-color:var(--pink);background:var(--pink-soft)}\n#lvm-shell .calc-bf{display:flex;align-items:center;gap:10px}\n#lvm-shell .calc-bf input[type=range]{flex:1;accent-color:var(--pink);height:6px}\n#lvm-shell .calc-bf .bf-val{font-weight:600;color:var(--pink);min-width:42px;font-family:var(--font-mono);font-size:15px}\n#lvm-shell .calc-results{display:grid;grid-template-columns:1fr;gap:12px}\n#lvm-shell .calc-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px}\n#lvm-shell .calc-card.lean{border-left:4px solid var(--pink);background:linear-gradient(90deg,var(--pink-soft),#fff 30%)}\n#lvm-shell .calc-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-card .formula{font-size:13px;color:var(--dim);margin-top:2px}\n#lvm-shell .calc-card .result{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.025em;margin-top:8px;color:var(--ink);line-height:1}\n#lvm-shell .calc-card .result .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-card.lean .result{color:var(--pink)}\n#lvm-shell .calc-delta{margin-top:10px;padding:12px 14px;background:#fff;border:1px dashed var(--pink);border-radius:10px;font-size:14px;color:var(--ink)}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* Comparator cards (3 formulas pros\/cons) *\/\n#lvm-shell .compar-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:24px 0}\n#lvm-shell .compar-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px}\n#lvm-shell .compar-card.lean{border-left:4px solid var(--pink)}\n#lvm-shell .compar-card h4{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .compar-card .year{font-size:12px;color:var(--muted);font-family:var(--font-mono);margin-bottom:14px;letter-spacing:.04em}\n#lvm-shell .compar-card .desc{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 12px}\n#lvm-shell .compar-card .pros,#lvm-shell .compar-card .cons{margin:6px 0;font-size:13px;line-height:1.5}\n#lvm-shell .compar-card .pros{color:var(--green)}\n#lvm-shell .compar-card .cons{color:var(--red)}\n#lvm-shell .compar-card .pros b,#lvm-shell .compar-card .cons b{display:inline-block;width:18px}\n\n\/* Pyramide section *\/\n#lvm-shell .pyramide-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .pyramide-illust img{width:100%;border-radius:18px;box-shadow:0 12px 32px rgba(20,20,40,.12)}\n#lvm-shell .pyramide-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .pyramide-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\u2212\"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* BodyScan illust *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* Body copy paragraphs *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1587 #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-1587 #lvm-shell .wrap,\nbody.postid-1587 #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-1587 #lvm-shell .wrap,\n  body.postid-1587 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1587 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1587 #lvm-shell *{max-width:100%}\nbody.postid-1587 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1587 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1587 #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-1587 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1587 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1587 #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-1587 #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-1587 #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-1587 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1587 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1587 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1587 #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-1587 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1587 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1587 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1587 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1587 #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-1587 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1587 #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-1587 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1587 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1587 #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-1587 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1587 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1587 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1587 #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-1587 #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-1587 #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-1587 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1587 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1587 #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-1587 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1587 #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-1587 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1587 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1587 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1587 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1587 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1587 #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-1587 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1587 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1587 #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-1587 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1587 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1587 #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-1587 #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-1587 #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-1587 #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-1587 #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-1587 #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-1587 #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-1587 #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-1587 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1587 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1587 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1587 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1587 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1587 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1587 #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-1587 #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-1587 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1587 #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-1587 #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-1587 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1587 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1587 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1587 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1587 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1587 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1587 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers \u2014 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}\n\/* BodyScan illust: no dark phone frame (plain screenshot display) *\/\n#lvm-shell .bodyscan-illust .mini-phone{background:transparent;padding:0;border:none;box-shadow:none;border-radius:0}\n#lvm-shell .bodyscan-illust .mini-phone .notch{display:none}<\/style>\n\n<div id=\"lvm-shell\" class=\"force-show\">\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/pt\/\"><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\/pt\/\">In\u00edcio<\/a>\n  <div class=\"nav-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" target=\"_blank\" rel=\"noopener\" aria-label=\"App Store\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" 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\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; M\u00e9tabolisme de base<\/div>\n  <div class=\"eyebrow\">Pilier &middot; Science du m\u00e9tabolisme<\/div>\n  <h1 id=\"title\">M\u00e9tabolisme de base.\n    <span class=\"alt\">Tout ce qu&rsquo;il faut savoir pour le calculer pr\u00e9cis\u00e9ment : BMR expliqu\u00e9.<\/span>\n  <\/h1>\n  <p class=\"dek\">Le m\u00e9tabolisme de base (BMR) est la fondation de ton TDEE et de toute s\u00e8che r\u00e9ussie. Mais il n&rsquo;est pr\u00e9cis que si on conna\u00eet la masse maigre r\u00e9elle. Voici pourquoi.<\/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>A equipe Lean<\/strong> &middot; Lecture 11&nbsp;min &middot; Mis \u00e0 jour 26 mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" 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=pillar-bmr\" 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\">Download gratuito<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Le BMR (Basal Metabolic Rate, m\u00e9tabolisme de base) est l&rsquo;\u00e9nergie que ton corps br\u00fble au repos pour faire tourner ton c\u0153ur, ton cerveau, tes reins. Il repr\u00e9sente 60 \u00e0 75&nbsp;% de ta d\u00e9pense totale. Pourtant la plupart des apps le calculent sur poids+\u00e2ge+sexe, donc le trompent de 200 \u00e0 500&nbsp;kcal\/jour sur les profils muscl\u00e9s ou s\u00e9dentaires.\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>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela para explorar o aplicativo<\/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>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela<br>para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Retour\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/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=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Onglet D\u00e9pense\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balan\u00e7o<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorias<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrat\u00e9gia<\/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 m\u00e9tabolisme de base (BMR) est l&rsquo;\u00e9nergie que ton corps d\u00e9pense au repos. Il repr\u00e9sente 60 \u00e0 75&nbsp;% de ta d\u00e9pense totale (TDEE). Sa pr\u00e9cision d\u00e9pend de la <b>masse maigre r\u00e9elle<\/b>, donc du bodyfat. Harris-Benedict 1919 et Mifflin-St Jeor 1990 l&rsquo;estiment sans bodyfat, marge d&rsquo;erreur 200 \u00e0 500&nbsp;kcal\/jour. Lean mesure ton bodyfat via BodyScan IA puis applique un <b>mod\u00e8le propri\u00e9taire brevet\u00e9<\/b> qui calcule ton BMR sur la masse maigre r\u00e9elle. <a href=\"\/pt\/calcul-metabolisme-de-base\/\" style=\"color:var(--pink);text-decoration:underline\">Tu veux juste ton chiffre&nbsp;? Utilise le calculateur d\u00e9di\u00e9.<\/a><\/p>\n  <\/div>\n<\/section>\n\n<main class=\"wrap\">\n\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; D\u00e9finition<\/span>Le BMR, premi\u00e8re brique du TDEE<\/h2>\n\n<div class=\"body\">\n<p id=\"bmr-signification\"><b>BMR signifie Basal Metabolic Rate<\/b>, en fran\u00e7ais \u00ab&nbsp;m\u00e9tabolisme de base&nbsp;\u00bb (litt\u00e9ralement \u00ab&nbsp;taux m\u00e9tabolique basal&nbsp;\u00bb). Trois lettres pour une seule id\u00e9e&nbsp;: le nombre minimal de kcal que ton corps br\u00fble chaque jour au repos complet, juste pour te maintenir en vie.<\/p>\n<p>O <b>BMR (Basal Metabolic Rate)<\/b>, ou m\u00e9tabolisme de base, est l&rsquo;\u00e9nergie minimale que ton corps br\u00fble au repos pour faire tourner tes fonctions vitales : respiration, circulation sanguine, fonctionnement du cerveau, des reins, du foie, maintien de la temp\u00e9rature corporelle. Mesur\u00e9 \u00e0 jeun, allong\u00e9, en neutralit\u00e9 thermique. <b>C&rsquo;est la d\u00e9pense fixe de ton organisme, ind\u00e9pendamment de ce que tu fais de ta journ\u00e9e.<\/b><\/p>\n<p>Dans l&rsquo;\u00e9quation canonique de la d\u00e9pense \u00e9nerg\u00e9tique totale, le BMR est la premi\u00e8re brique :<\/p>\n<\/div>\n\n<div class=\"statement\" style=\"margin:28px 0\"><p><b style=\"color:var(--pink);font-variant-numeric:tabular-nums\">TDEE = BMR + NEAT + EAT + TEF<\/b><\/p><\/div>\n\n<div class=\"body\">\n<p>Concr\u00e8tement, ton BMR repr\u00e9sente <b>60 \u00e0 75&nbsp;%<\/b> de ton TDEE chez la plupart des adultes (le reste se r\u00e9partit entre NEAT, EAT et TEF). C&rsquo;est de loin le premier poste de d\u00e9pense. Si tu te trompes de 150&nbsp;kcal sur ton BMR, ton TDEE est faux de 150&nbsp;kcal. Ton d\u00e9ficit est faux de 150&nbsp;kcal. Ton plan de s\u00e8che est faux de 150&nbsp;kcal. <b>Tout part de l\u00e0.<\/b><\/p>\n<p>L&rsquo;adaptation m\u00e9tabolique vient ensuite comme <b>coefficient multiplicateur du BMR<\/b> en d\u00e9ficit calorique prolong\u00e9 (convention Lean : 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% d&rsquo;adaptation accumul\u00e9e, c&rsquo;est-\u00e0-dire BMR baiss\u00e9 de 10&nbsp;%). Elle n&rsquo;entre <b>pas<\/b> dans la somme TDEE : elle module le BMR.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Tu veux le d\u00e9tail des 4 briques&nbsp;? <a href=\"\/pt\/calculateur-tdee\/\">Calculateur TDEE complet<\/a> &middot; <a href=\"\/pt\/neat-depense-non-sportive\/\">NEAT (pas)<\/a> &middot; <a href=\"\/pt\/eat\/\">EAT (sport)<\/a> &middot; <a href=\"\/pt\/effet-thermique-des-aliments\/\">TEF (digestion)<\/a>.\n<\/div>\n\n<!-- Diagramme TDEE Franck ID 876 \u2014 paysage max-width:580px -->\n<div style=\"margin:36px auto;max-width:580px;text-align:center\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/diagramme-circulaire-composants-tdee-bmr-neat-eat-tef-1024x680.png\" alt=\"Diagramme circulaire TDEE : BMR 57%, NEAT 27%, EAT 6%, TEF 10%\" width=\"1024\" height=\"680\" style=\"width:100%;height:auto;border-radius:12px;box-shadow:0 4px 20px rgba(0,0,0,0.08)\" loading=\"lazy\" decoding=\"async\">\n  <p style=\"margin:10px 0 0;font-size:13px;color:var(--muted);text-align:center\">R\u00e9partition typique du TDEE : le BMR repr\u00e9sente 57&nbsp;% de la d\u00e9pense totale.<\/p>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Les moteurs du BMR<\/span>Quels organes br\u00fblent quoi au repos ?<\/h2>\n\n<div class=\"body\">\n<p>Ton m\u00e9tabolisme de base n&rsquo;est pas une moyenne abstraite. Il correspond \u00e0 la somme des besoins \u00e9nerg\u00e9tiques de chaque organe. Voici la r\u00e9partition mesur\u00e9e dans la litt\u00e9rature physiologique :<\/p>\n<\/div>\n\n<!-- Tableau organes converti en cards stacked (z\u00e9ro tableau scrollable) -->\n<div style=\"margin:28px 0;display:grid;grid-template-columns:repeat(auto-fit,minmax(240px,1fr));gap:12px\">\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--pink)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Muscles<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--pink)\">30&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--pink)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Foie<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--pink)\">25&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--pink)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Cerveau<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--pink)\">20&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid #C8A019\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Coeur<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:#C8A019\">10&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--muted)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Reins<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--muted)\">5&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--muted)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Tissus adipeux (graisse)<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--muted)\">3&nbsp;%<\/span>\n  <\/div>\n  <div style=\"display:flex;align-items:center;justify-content:space-between;padding:14px 18px;background:var(--paper);border-radius:10px;border-left:3px solid var(--dim)\">\n    <span style=\"font-weight:600;color:var(--ink-2)\">Reste (peau, intestins&hellip;)<\/span>\n    <span style=\"font-family:var(--font-mono);font-size:15px;font-weight:700;color:var(--dim)\">7&nbsp;%<\/span>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Ce que ce tableau dit imm\u00e9diatement : <b>les muscles repr\u00e9sentent 30&nbsp;% du BMR<\/b>, contre seulement 3&nbsp;% pour la graisse. Gagner de la masse musculaire augmente directement ton m\u00e9tabolisme de base. Perdre du muscle (en s\u00e8che mal conduite) le fait chuter. C&rsquo;est le m\u00e9canisme le plus sous-estim\u00e9 dans la gestion du poids \u00e0 long terme.<\/p>\n<p>Cons\u00e9quence importante : un BMR plus \u00e9lev\u00e9 augmente indirectement ton NEAT et ton EAT. Exemple concret : un strongman \u00e0 1&thinsp;800&nbsp;kcal de BMR br\u00fble environ 0,08&nbsp;kcal par pas, contre 0,02&nbsp;kcal pour une femme de 50&nbsp;kg. La m\u00eame activit\u00e9 produit un r\u00e9sultat m\u00e9tabolique tr\u00e8s diff\u00e9rent selon la masse maigre de d\u00e9part.<\/p>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Histoire<\/span>Quatre formules de BMR, 105 ans d&rsquo;\u00e9volution<\/h2>\n<p>Quatre \u00e9quations dominent la litt\u00e9rature scientifique sur le calcul du BMR depuis un si\u00e8cle. Chacune r\u00e9pond \u00e0 une \u00e9poque, un \u00e9chantillon, une intention. Voici ce qu&rsquo;elles disent vraiment et leurs limites.<\/p>\n\n<div class=\"compar-grid\">\n  <div class=\"compar-card\">\n    <h4>Harris-Benedict<\/h4>\n    <div class=\"year\">1919, r\u00e9vis\u00e9e 1984 &middot; 136 sujets<\/div>\n    <p class=\"desc\">La grande anc\u00eatre. Estime le BMR depuis poids, taille, \u00e2ge et sexe. Encore utilis\u00e9e par d\u00e9faut sur beaucoup de calculateurs en ligne et sur certaines apps grand public.<\/p>\n    <p class=\"pros\"><b>+<\/b> Cit\u00e9e partout, comparable d&rsquo;un calculateur \u00e0 l&rsquo;autre.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Calibr\u00e9e sur une population centenaire. Surestime le BMR de 5 \u00e0 10&nbsp;% sur les profils modernes.<\/p>\n  <\/div>\n\n  <div class=\"compar-card\">\n    <h4>Mifflin-St Jeor<\/h4>\n    <div class=\"year\">1990 &middot; 498 sujets<\/div>\n    <p class=\"desc\">Recalibr\u00e9e sur une population am\u00e9ricaine fin des ann\u00e9es 80. Consid\u00e9r\u00e9e comme la r\u00e9f\u00e9rence \u00ab\u00a0moderne sans bodyfat\u00a0\u00bb par les di\u00e9t\u00e9ticiens cliniciens. Pr\u00e9cise \u00e0 &plusmn;10&nbsp;% sur le profil moyen.<\/p>\n    <p class=\"pros\"><b>+<\/b> Plus pr\u00e9cise que Harris-Benedict sur 70&nbsp;% des profils.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Aucune prise en compte du bodyfat. Marge d&rsquo;erreur 200 \u00e0 400 kcal sur les profils muscl\u00e9s ou s\u00e9dentaires.<\/p>\n  <\/div>\n\n  <div class=\"compar-card\">\n    <h4>\u00c9quations sur masse maigre<\/h4>\n    <div class=\"year\">Ann\u00e9es 1980 et apr\u00e8s &middot; litt\u00e9rature physiologique<\/div>\n    <p class=\"desc\">Famille d&rsquo;\u00e9quations qui s&rsquo;appuient sur la <b>masse maigre (FFM)<\/b> au lieu du poids total. Forme publique typique : 370 + 21,6 &times; FFM (kg). Plus pr\u00e9cise scientifiquement, mais n\u00e9cessite de conna\u00eetre son bodyfat.<\/p>\n    <p class=\"pros\"><b>+<\/b> Pr\u00e9cision am\u00e9lior\u00e9e sur tous les profils, y compris muscl\u00e9s et s\u00e9dentaires.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> N\u00e9cessite une mesure bodyfat pr\u00e9cise (imp\u00e9dancem\u00e9trie, DEXA ou BodyScan IA). Historiquement peu accessible.<\/p>\n  <\/div>\n\n  <div class=\"compar-card lean\">\n    <h4>Mod\u00e8le propri\u00e9taire brevet\u00e9 Lean<\/h4>\n    <div class=\"year\">2024 &middot; calibr\u00e9 sur 10&thinsp;000+ utilisateurs<\/div>\n    <p class=\"desc\">S&rsquo;appuie sur la <b>masse maigre r\u00e9elle<\/b> mesur\u00e9e par BodyScan IA, int\u00e8gre une fonction d&rsquo;adaptation m\u00e9tabolique en d\u00e9ficit, applique une correction d&rsquo;\u00e2ge fine, se recalibre semaine apr\u00e8s semaine via la pes\u00e9e et le BodyScan. <b>Pas une formule papier : un mod\u00e8le qui apprend de ta donn\u00e9e.<\/b><\/p>\n    <p class=\"pros\"><b>+<\/b> Pr\u00e9cision &plusmn;3&nbsp;% sur les profils muscl\u00e9s, s\u00e9dentaires, m\u00e9nopause, post-grossesse. Recalibrage continu.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> N\u00e9cessite un BodyScan IA initial (5 secondes, gratuit dans Lean) et une donn\u00e9e poids r\u00e9guli\u00e8re.<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Le levier<\/span>Pourquoi le bodyfat change tout sur le BMR<\/h2>\n\n<div class=\"statement\"><p>Deux hommes de 80&nbsp;kg n&rsquo;ont pas le m\u00eame BMR. <span class=\"accent\">Le muscle br\u00fble 3 fois plus que la graisse au repos.<\/span><\/p><\/div>\n\n<div class=\"body\">\n<p>La masse maigre (organes + muscles + os + eau) est le moteur m\u00e9tabolique. La masse grasse, elle, est quasi inerte sur le plan \u00e9nerg\u00e9tique. Concr\u00e8tement : <b>1&nbsp;kg de muscle br\u00fble environ 13&nbsp;kcal\/jour au repos, 1&nbsp;kg de gras environ 4&nbsp;kcal\/jour<\/b> (Heymsfield, M\u00fcller, Hall). Le rapport est de 3 contre 1.<\/p>\n<p>Tu prends deux hommes de 80&nbsp;kg pour 180&nbsp;cm. Le premier est \u00e0 12&nbsp;% de bodyfat (sportif, masse maigre 70,4&nbsp;kg). Le second \u00e0 28&nbsp;% (s\u00e9dentaire, masse maigre 57,6&nbsp;kg). Sur le BMR calcul\u00e9 via une \u00e9quation sur masse maigre, l&rsquo;\u00e9cart est de l&rsquo;ordre de <b>275 kcal\/jour<\/b>. Mifflin-St Jeor leur attribue pourtant le m\u00eame chiffre : 1&thinsp;780 kcal. C&rsquo;est l&rsquo;erreur structurelle qui passe inaper\u00e7ue pendant des mois de s\u00e8che rat\u00e9e.<\/p>\n<p>Pire : en d\u00e9ficit prolong\u00e9, ton BMR ne baisse pas seulement parce que tu p\u00e8ses moins (Hall 2008, M\u00fcller 2015). Il baisse aussi parce que ton corps active une <b>Adapta\u00e7\u00e3o metab\u00f3lica<\/b> : 5 \u00e0 25&nbsp;% en moins selon le d\u00e9ficit et sa dur\u00e9e. Sans bodyfat ET sans adaptation mod\u00e9lis\u00e9e, tu navigues \u00e0 l&rsquo;aveugle.<\/p>\n<\/div>\n\n<!-- BodyScan r\u00e9sultat bodyfat 11% homme \u2014 ID 808, portrait max-width:220px -->\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/resultat-bodyfat-ia-homme-lean-app-1-514x1024.png\" alt=\"r\u00e9sultat bodyfat IA homme Lean, taux 11%\" width=\"514\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>BodyScan IA<\/b> : r\u00e9sultat bodyfat 11&nbsp;%, pr\u00e9cision \u00e0 2&nbsp;% pr\u00e8s. Photo, 5 secondes.<\/p>\n<\/div>\n\n<div class=\"body\">\n<p>L&rsquo;approche scientifique pour calculer un BMR plus pr\u00e9cis quand on a le bodyfat s&rsquo;appuie sur la <b>masse maigre (FFM, Fat-Free Mass)<\/b>. La forme publique de cette \u00e9quation, cit\u00e9e depuis les ann\u00e9es 1980 dans la litt\u00e9rature physiologique, donne environ 370 + 21,6 &times; masse maigre (kg). Le <b>mod\u00e8le propri\u00e9taire brevet\u00e9 Lean<\/b> va plus loin : il int\u00e8gre une fonction d&rsquo;adaptation m\u00e9tabolique, l&rsquo;eau corporelle, le glycog\u00e8ne, et se recalibre via le BodyScan IA \u00e0 chaque pes\u00e9e.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Tu veux comparer les 3 formules sur tes propres chiffres&nbsp;? <a href=\"\/pt\/calcul-metabolisme-de-base\/\">Utilise le calculateur de m\u00e9tabolisme de base Lean<\/a> (Harris-Benedict, Mifflin-St Jeor, approche sur masse maigre).\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Trois profils, trois v\u00e9rit\u00e9s<\/span>L&rsquo;\u00e9cart Mifflin contre Lean grandit avec ta composition<\/h2>\n<p>Trois hommes de morphotypes diff\u00e9rents, calculs compar\u00e9s. Les chiffres viennent des trois formules sur 80&nbsp;kg \/ 180&nbsp;cm \/ 32&nbsp;ans, en ajustant seulement le bodyfat. Tu vois imm\u00e9diatement o\u00f9 Harris-Benedict et Mifflin-St Jeor se trompent.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Profil sportif<\/h4>\n    <div class=\"meta\">32 ans &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 12&nbsp;% bodyfat &middot; masse maigre 70,4&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Approche Lean (masse maigre)<\/span><span class=\"v\">1&thinsp;873 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">\u00c9cart Lean vs Mifflin : <b style=\"color:var(--pink)\">+93 kcal\/jour<\/b>. Sur 90 jours, c&rsquo;est pr\u00e8s de 10&thinsp;000 kcal \u00ab\u00a0oubli\u00e9s\u00a0\u00bb par les formules classiques.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Profil moyen<\/h4>\n    <div class=\"meta\">32 ans &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 20&nbsp;% bodyfat &middot; masse maigre 64&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Approche Lean (masse maigre)<\/span><span class=\"v\">1&thinsp;735 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">\u00c9cart Lean vs Mifflin : <b style=\"color:var(--pink)\">&minus;45 kcal\/jour<\/b>. Sur ce profil moyen, Mifflin colle bien (c&rsquo;est le profil sur lequel la formule a \u00e9t\u00e9 calibr\u00e9e en 1990). Tout \u00e9cart \u00e0 ce profil augmente l&rsquo;erreur.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Profil s\u00e9dentaire<\/h4>\n    <div class=\"meta\">32 ans &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 28&nbsp;% bodyfat &middot; masse maigre 57,6&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Approche Lean (masse maigre)<\/span><span class=\"v\">1&thinsp;597 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">\u00c9cart Lean vs Mifflin : <b style=\"color:var(--pink)\">&minus;183 kcal\/jour<\/b>. Mifflin surestime son BMR de 166 kcal. C&rsquo;est exactement pourquoi tant de profils en surpoids \u00ab\u00a0ne maigrissent pas malgr\u00e9 le d\u00e9ficit calcul\u00e9\u00a0\u00bb.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; Le moteur Lean<\/span>Comment Lean calcule ton BMR (mod\u00e8le propri\u00e9taire brevet\u00e9)<\/h2>\n\n<div class=\"body\">\n<p>Lean utilise un mod\u00e8le propri\u00e9taire brevet\u00e9 pour calculer ton BMR. La donn\u00e9e d&rsquo;entr\u00e9e principale n&rsquo;est pas ton poids : c&rsquo;est ta <b>masse maigre r\u00e9elle<\/b>, d\u00e9duite de ton bodyfat mesur\u00e9 par BodyScan IA. La masse grasse est ignor\u00e9e dans le calcul du moteur m\u00e9tabolique, parce qu&rsquo;elle est m\u00e9taboliquement inerte.<\/p>\n<p>Quatre piliers du mod\u00e8le Lean :<\/p>\n<ol style=\"margin:14px 0 14px 22px;padding:0;line-height:1.7\">\n  <li><b>BodyScan IA<\/b> : photo, 5 secondes, pr\u00e9cision de l&rsquo;ordre DEXA-grade sur 10&thinsp;000+ utilisateurs. Lean en d\u00e9duit ta masse maigre r\u00e9elle.<\/li>\n  <li><b>Mod\u00e8le propri\u00e9taire brevet\u00e9<\/b> : applique sur ta masse maigre une fonction qui int\u00e8gre une correction d&rsquo;\u00e2ge fine, l&rsquo;eau corporelle et le glycog\u00e8ne. Pas une formule papier : un mod\u00e8le qui apprend de ta donn\u00e9e.<\/li>\n  <li><b>Adapta\u00e7\u00e3o metab\u00f3lica modelada<\/b> : convention 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% d&rsquo;adaptation. Le coefficient module le BMR en d\u00e9ficit prolong\u00e9 (jamais additionn\u00e9 dans la somme TDEE).<\/li>\n  <li><b>Recalibration continue<\/b> : \u00e0 chaque pes\u00e9e, \u00e0 chaque BodyScan, le BMR se recalcule. Tu ne fais pas le calcul une fois pour toutes : il vit avec toi.<\/li>\n<\/ol>\n<p>Lean utilise aussi la <b>moyenne des 7 derniers jours de poids<\/b> (et non le poids du jour) pour lisser les fluctuations d&rsquo;eau et de glycog\u00e8ne. Cela \u00e9vite qu&rsquo;un repas charg\u00e9 en sel la veille ne fasse bondir ou chuter ton BMR artificiellement.<\/p>\n<p>C&rsquo;est pour \u00e7a que Lean refuse de te donner un objectif calorique tant que ton BodyScan IA n&rsquo;est pas fait. Pas par caprice. Par coh\u00e9rence : sans bodyfat, le BMR est une moyenne statistique. Avec, c&rsquo;est ton BMR.<\/p>\n<\/div>\n\n<!-- Focus BMR \u00e9cran Lean \u2014 ID 832, portrait max-width:220px -->\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/focus-depense-metabolisme-bmr-lean-app-512x1024.png\" alt=\"Focus d\u00e9pense BMR dans l'application Lean\" width=\"512\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>BMR Lean<\/b> : calcul\u00e9 sur ta masse maigre r\u00e9elle, recalibr\u00e9 \u00e0 chaque pes\u00e9e.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Tu veux ton vrai BMR sur ton bodyfat r\u00e9el&nbsp;? <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" target=\"_blank\" rel=\"noopener\">Installe Lean<\/a> et fais ton premier BodyScan en 5 secondes. Sans formule papier.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">08 &middot; BodyScan IA<\/span>Mesurer le bodyfat en 5 secondes pour un BMR pr\u00e9cis<\/h2>\n\n<div class=\"body\">\n<p>Sans bodyfat r\u00e9el, m\u00eame la meilleure \u00e9quation sur masse maigre est inutile. Lean r\u00e9sout ce probl\u00e8me avec le <b>BodyScan IA<\/b> : une photo de face, 5 secondes de traitement, pr\u00e9cision de l&rsquo;ordre de 2 points de bodyfat. Aucun appareil externe, aucune pes\u00e9e d&rsquo;imp\u00e9dance, aucune s\u00e9ance DEXA.<\/p>\n<\/div>\n\n<!-- BodyScan homme seul \u2014 centr\u00e9 -->\n<div style=\"margin:32px auto;max-width:220px;text-align:center\">\n  <video src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/scan-corporel-bodyfat-ia-homme-lean-app.mp4\" autoplay muted loop playsinline style=\"width:100%;border-radius:18px;box-shadow:0 6px 24px rgba(0,0,0,0.12)\" aria-label=\"D\u00e9monstration BodyScan IA homme\"><\/video>\n  <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">BodyScan homme<\/p>\n<\/div>\n\n\n<div class=\"body\">\n<p><b>Conditions optimales pour un BodyScan pr\u00e9cis :<\/b><\/p>\n<ul style=\"margin:10px 0 10px 22px;padding:0;line-height:1.8\">\n  <li>Lumi\u00e8re naturelle ou lumi\u00e8re diffuse, pas d&rsquo;ombre port\u00e9e sur le corps<\/li>\n  <li>Respiration normale, ne pas rentrer le ventre, pas de contraction des abdominaux<\/li>\n  <li>M\u00eames conditions \u00e0 chaque scan (m\u00eame heure, m\u00eame lumi\u00e8re, m\u00eame distance cam\u00e9ra)<\/li>\n  <li>Pas juste apr\u00e8s une s\u00e9ance de sport (pump musculaire fausse la mesure)<\/li>\n  <li>Distance cam\u00e9ra : environ 2 m\u00e8tres, corps entier dans le cadre<\/li>\n<\/ul>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">09 &middot; Adaptation m\u00e9tabolique<\/span>Le 5e composant qui module tout<\/h2>\n\n<div class=\"body\">\n<p>L&rsquo;adaptation m\u00e9tabolique n&rsquo;est pas dans la somme TDEE. C&rsquo;est un <b>coefficient multiplicateur du BMR<\/b> qui se d\u00e9clenche en d\u00e9ficit calorique prolong\u00e9. Convention Lean :<\/p>\n<ul style=\"margin:10px 0 14px 22px;padding:0;line-height:1.8\">\n  <li><b>100&nbsp;%<\/b> : pas d&rsquo;adaptation, BMR optimal<\/li>\n  <li><b>90 \u00e0 98&nbsp;%<\/b> : adaptation l\u00e9g\u00e8re \u00e0 mod\u00e9r\u00e9e, BMR baiss\u00e9 de 2 \u00e0 10&nbsp;%<\/li>\n  <li><b>Sous 90&nbsp;%<\/b> : retour \u00e0 la maintenance recommand\u00e9 (diet break ou semaine de maintenance)<\/li>\n<\/ul>\n<p>Ce ph\u00e9nom\u00e8ne, mesur\u00e9 par Hall (2008) et M\u00fcller (2015), explique les plateaux de s\u00e8che. Ton corps ne \u00ab\u00a0r\u00e9siste pas\u00a0\u00bb \u00e0 la perte de poids par magie : il baisse simplement son BMR pour compenser le d\u00e9ficit. Sans mod\u00e9lisation de ce coefficient, ton TDEE calcul\u00e9 devient de plus en plus optimiste au fil des semaines.<\/p>\n<\/div>\n\n<!-- Graphique adaptation m\u00e9tabolique TDEE r\u00e9elle vs calcul\u00e9e \u2014 ID 778, paysage max-width:580px -->\n<div style=\"margin:36px auto;max-width:580px;text-align:center\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/graphique-adaptation-metabolique-tdee-reelle-calculee-1024x558.jpeg\" alt=\"Graphique adaptation m\u00e9tabolique : TDEE r\u00e9elle vs TDEE calcul\u00e9e sur une s\u00e8che longue\" width=\"1024\" height=\"558\" style=\"width:100%;height:auto;border-radius:12px;box-shadow:0 4px 20px rgba(0,0,0,0.08)\" loading=\"lazy\" decoding=\"async\">\n  <p style=\"margin:10px 0 0;font-size:13px;color:var(--muted);text-align:center\">TDEE r\u00e9elle (mesur\u00e9e) vs TDEE calcul\u00e9e sans adaptation. L&rsquo;\u00e9cart se creuse apr\u00e8s 4 \u00e0 6 semaines de d\u00e9ficit.<\/p>\n<\/div>\n\n<!-- Suivi BMR adaptation paysage \u2014 ID 861, max-width:500px -->\n<div style=\"margin:32px auto;max-width:500px;text-align:center\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/suivi-bmr-adaptation-metabolique-lean-app-1024x432.png\" alt=\"Suivi BMR et adaptation m\u00e9tabolique dans l'application Lean, 1767 kcal\" width=\"1024\" height=\"432\" style=\"width:100%;height:auto;border-radius:12px;box-shadow:0 4px 20px rgba(0,0,0,0.08)\" loading=\"lazy\" decoding=\"async\">\n  <p style=\"margin:10px 0 0;font-size:13px;color:var(--muted);text-align:center\">Suivi BMR hebdomadaire avec coefficient d&rsquo;adaptation m\u00e9tabolique dans Lean.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Lean est la <b>premi\u00e8re app au monde<\/b> \u00e0 mod\u00e9liser l&rsquo;adaptation m\u00e9tabolique en temps r\u00e9el. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" target=\"_blank\" rel=\"noopener\">T\u00e9l\u00e9charger Lean<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Suivi BMR dans Lean<\/span>Analyse tendance, poids 7 jours, bodyfat continu<\/h2>\n\n<div class=\"body\">\n<p>Lean ne calcule pas ton BMR une fois pour toutes. Il le met \u00e0 jour \u00e0 chaque pes\u00e9e et chaque BodyScan, avec trois \u00e9crans d\u00e9di\u00e9s :<\/p>\n<\/div>\n\n<!-- Analyse tendance BMR \u2014 ID 760, portrait max-width:220px -->\n<div class=\"bodyscan-illust\" style=\"margin:36px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-tendance-metabolisme-base-bmr-lean-app-512x1024.png\" alt=\"Analyse tendance BMR hebdomadaire dans l'application Lean\" width=\"512\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>Tendance BMR<\/b> : graphique hebdomadaire, tu vois l&rsquo;adaptation se former en temps r\u00e9el.<\/p>\n<\/div>\n\n\n<div class=\"body\">\n<p>La pes\u00e9e quotidienne dans Lean utilise la <b>moyenne glissante des 7 derniers jours<\/b> pour lisser les fluctuations naturelles d&rsquo;eau et de glycog\u00e8ne. Une variance de 1 \u00e0 2&nbsp;kg du jour au lendemain est normale et ne refl\u00e8te pas la vraie composition corporelle. C&rsquo;est cette moyenne qui alimente le recalcul du BMR, pas le poids brut du matin.<\/p>\n<\/div>\n\n<!-- Poids 2 colonnes: saisie + suivi bodyfat -->\n<div style=\"margin:36px auto;display:grid;grid-template-columns:1fr 1fr;gap:16px;max-width:480px\">\n  <div style=\"text-align:center\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/saisir-poids-journalier-calendrier-lean-app-510x1024.png\" alt=\"Saisir poids journalier avec calendrier dans l'application Lean\" width=\"510\" height=\"1024\" style=\"width:100%;height:auto;border-radius:20px;box-shadow:0 6px 24px rgba(0,0,0,0.12)\" loading=\"lazy\" decoding=\"async\">\n    <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">Moyenne 7 jours automatique<\/p>\n  <\/div>\n  <div style=\"text-align:center\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/suivi-evolution-poids-bodyfat-lean-app-512x1024.png\" alt=\"Suivi \u00e9volution poids et bodyfat dans l'application Lean\" width=\"512\" height=\"1024\" style=\"width:100%;height:auto;border-radius:20px;box-shadow:0 6px 24px rgba(0,0,0,0.12)\" loading=\"lazy\" decoding=\"async\">\n    <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">Poids + bodyfat : gras ou muscle ?<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">11 &middot; TDEE complet<\/span>D\u00e9pense calorique totale depuis ton BMR<\/h2>\n\n<div class=\"body\">\n<p>Une fois ton BMR pr\u00e9cis, les trois autres composants du TDEE viennent se superposer :<\/p>\n<ul style=\"margin:10px 0 14px 22px;padding:0;line-height:1.8\">\n  <li><b>NEAT<\/b> (Non-Exercise Activity Thermogenesis) : tes pas et activit\u00e9s hors sport. Lean le mesure via le podom\u00e8tre int\u00e9gr\u00e9.<\/li>\n  <li><b>EAT<\/b> (Exercise Activity Thermogenesis) : tes s\u00e9ances de sport track\u00e9es. Lean te permet d&rsquo;enregistrer l&rsquo;intensit\u00e9 et le type de s\u00e9ance pour un calcul pr\u00e9cis.<\/li>\n  <li><b>TEF<\/b> (Thermic Effect of Food) : l&rsquo;\u00e9nergie d\u00e9pens\u00e9e pour dig\u00e9rer. Calcul\u00e9 automatiquement selon les macros saisies.<\/li>\n<\/ul>\n<\/div>\n\n<!-- TDEE 2 colonnes: analyse + s\u00e9ance -->\n<div style=\"margin:36px auto;display:grid;grid-template-columns:1fr 1fr;gap:16px;max-width:480px\">\n  <div style=\"text-align:center\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-depense-calorique-tdee-lean-app-514x1024.png\" alt=\"Analyse d\u00e9pense calorique TDEE dans l'application Lean\" width=\"514\" height=\"1024\" style=\"width:100%;height:auto;border-radius:20px;box-shadow:0 6px 24px rgba(0,0,0,0.12)\" loading=\"lazy\" decoding=\"async\">\n    <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">TDEE = BMR + NEAT + EAT + TEF en temps r\u00e9el<\/p>\n  <\/div>\n  <div style=\"text-align:center\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/enregistrer-seance-musculation-intensite-lean-app-520x1024.png\" alt=\"Enregistrer s\u00e9ance musculation avec intensit\u00e9 dans l'application Lean\" width=\"520\" height=\"1024\" style=\"width:100%;height:auto;border-radius:20px;box-shadow:0 6px 24px rgba(0,0,0,0.12)\" loading=\"lazy\" decoding=\"async\">\n    <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">S\u00e9ance muscu : intensit\u00e9 \u2192 EAT pr\u00e9cis<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">12 &middot; Strat\u00e9gies<\/span>BMR et plan d&rsquo;attaque selon ton objectif<\/h2>\n<p>Une fois ton BMR pr\u00e9cis connu, l&rsquo;application pratique est directe. Trois cas, trois leviers calculatoires.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>S\u00e8che (perte de gras)<\/h4>\n    <div class=\"meta\">Objectif : d\u00e9ficit calorique mod\u00e9r\u00e9, pr\u00e9servation muscle<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Apport cible<\/span><span class=\"v\">TDEE &minus; 20&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Adaptation \u00e0 surveiller<\/span><span class=\"v\">5 \u00e0 15&nbsp;% du BMR<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibration Lean<\/span><span class=\"v\">Hebdomadaire (pes\u00e9e + BodyScan)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Le d\u00e9ficit affich\u00e9 par MyFitnessPal sur Mifflin sans bodyfat peut \u00eatre faux de <b style=\"color:var(--pink)\">200 \u00e0 400 kcal\/jour<\/b>. Outil d\u00e9taill\u00e9 : <a href=\"\/pt\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">calculateur de d\u00e9ficit calorique<\/a>.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Bulk (prise de muscle)<\/h4>\n    <div class=\"meta\">Objectif : surplus contr\u00f4l\u00e9, minimum de gain de gras<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Apport cible<\/span><span class=\"v\">TDEE + 10 \u00e0 15&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Risque sans BMR pr\u00e9cis<\/span><span class=\"v\">Surplus excessif (gras inutile)<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibration Lean<\/span><span class=\"v\">Hebdomadaire (v\u00e9rification masse maigre)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Un bulk propre n\u00e9cessite de s\u00e9parer la masse maigre gagn\u00e9e de la masse grasse. Le BodyScan IA hebdomadaire de Lean te le montre, sans imagerie m\u00e9dicale.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Maintenance \/ recomp<\/h4>\n    <div class=\"meta\">Objectif : composition s&rsquo;am\u00e9liore \u00e0 poids stable<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Apport cible<\/span><span class=\"v\">TDEE &plusmn; 0<\/span><\/div>\n      <div class=\"rw\"><span>Suivi cl\u00e9<\/span><span class=\"v\">Bodyfat &darr;, masse maigre &uarr;<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibration Lean<\/span><span class=\"v\">Quotidienne, balance live<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La recomposition corporelle ne se voit pas sur la balance. Elle se voit sur le bodyfat. Sans BodyScan, tu es aveugle.<\/div>\n  <\/div>\n<\/div>\n\n\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Tutoriels<\/span>Comment utiliser Lean pour ton BMR<\/h2>\n\n<div class=\"body\">\n<p>Deux vid\u00e9os pour d\u00e9marrer concr\u00e8tement :<\/p>\n<\/div>\n\n<div style=\"margin:28px 0;display:flex;flex-direction:column;gap:20px\">\n  <div>\n    <div class=\"yt-facade\" role=\"button\" tabindex=\"0\" data-vid=\"f6mZfW1sxqw\" data-t=\"COMMENT COMPTER SES CALORIES AVEC LEAN !\" aria-label=\"Lire la vid\u00e9o : COMMENT COMPTER SES CALORIES AVEC LEAN !\" style=\"position:relative;width:100%;max-width:600px;aspect-ratio:16\/9;border-radius:12px;display:block;margin:0 auto;cursor:pointer;background:#000 url('https:\/\/i.ytimg.com\/vi\/f6mZfW1sxqw\/hqdefault.jpg') center\/cover no-repeat\" onclick=\"var f=document.createElement('iframe');f.width='100%';f.style.cssText='max-width:600px;aspect-ratio:16\/9;border:none;border-radius:12px;display:block;margin:0 auto';f.src='https:\/\/www.youtube.com\/embed\/'+this.dataset.vid+'?autoplay=1';f.allow='autoplay; encrypted-media';f.allowFullscreen=true;f.title=this.dataset.t;this.replaceWith(f)\"><span style=\"position:absolute;top:50%;left:50%;transform:translate(-50%,-50%);width:68px;height:48px;background:rgba(255,45,110,.95);border-radius:14px;display:flex;align-items:center;justify-content:center;box-shadow:0 8px 24px rgba(0,0,0,.35)\"><span style=\"width:0;height:0;border-style:solid;border-width:10px 0 10px 17px;border-color:transparent transparent transparent #fff;display:block;margin-left:3px\"><\/span><\/span><\/div>\n    <p style=\"margin:10px 0 0;font-size:13px;color:var(--muted);text-align:center\">Tutoriel complet : compter ses calories avec Lean, de A \u00e0 Z.<\/p>\n  <\/div>\n  <div>\n    <div class=\"yt-facade\" role=\"button\" tabindex=\"0\" data-vid=\"wtg6vKi-IhM\" data-t=\"Comment j'ai DOUBL\u00c9 ma d\u00e9pense calorique pour PERDRE DU GRAS\" aria-label=\"Lire la vid\u00e9o : Comment j'ai DOUBL\u00c9 ma d\u00e9pense calorique pour PERDRE DU GRAS\" style=\"position:relative;width:100%;max-width:600px;aspect-ratio:16\/9;border-radius:12px;display:block;margin:0 auto;cursor:pointer;background:#000 url('https:\/\/i.ytimg.com\/vi\/wtg6vKi-IhM\/hqdefault.jpg') center\/cover no-repeat\" onclick=\"var f=document.createElement('iframe');f.width='100%';f.style.cssText='max-width:600px;aspect-ratio:16\/9;border:none;border-radius:12px;display:block;margin:0 auto';f.src='https:\/\/www.youtube.com\/embed\/'+this.dataset.vid+'?autoplay=1';f.allow='autoplay; encrypted-media';f.allowFullscreen=true;f.title=this.dataset.t;this.replaceWith(f)\"><span style=\"position:absolute;top:50%;left:50%;transform:translate(-50%,-50%);width:68px;height:48px;background:rgba(255,45,110,.95);border-radius:14px;display:flex;align-items:center;justify-content:center;box-shadow:0 8px 24px rgba(0,0,0,.35)\"><span style=\"width:0;height:0;border-style:solid;border-width:10px 0 10px 17px;border-color:transparent transparent transparent #fff;display:block;margin-left:3px\"><\/span><\/span><\/div>\n    <p style=\"margin:10px 0 0;font-size:13px;color:var(--muted);text-align:center\">Comment doubler sa d\u00e9pense calorique en optimisant chaque composant du TDEE.<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">14 &middot; La pyramide<\/span>BMR au socle de la Pyramide de Progression Lean<\/h2>\n\n<div class=\"body\">\n<p>Dans la philosophie Lean, le BMR n&rsquo;est pas le sommet du plan d&rsquo;attaque, c&rsquo;est le <b>socle<\/b>. La <b>Pir\u00e2mide de Progress\u00e3o<\/b> hi\u00e9rarchise ce qui compte vraiment pour une s\u00e8che r\u00e9ussie : adh\u00e9rence &gt; objectif calorique &gt; pas. Et derri\u00e8re l&rsquo;objectif calorique, il y a ton TDEE, donc ton BMR.<\/p>\n<p>Tant que ton BMR est faux, tout le plan est faux. C&rsquo;est la raison pour laquelle Lean refuse de donner un objectif sans BodyScan IA. C&rsquo;est aussi pour \u00e7a que recalculer son BMR \u00e0 chaque pes\u00e9e (donc en continu) est la seule fa\u00e7on d&rsquo;\u00e9viter le plateau.<\/p>\n<\/div>\n\n<div class=\"pyramid\" aria-label=\"Pyramide de Progression Lean\">\n  <div class=\"level l1\"><span>Adh\u00e9rence<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Objectif calorique (BMR pr\u00e9cis)<\/span><span class=\"k\">\u00c9tage 2<\/span><\/div>\n  <div class=\"level l3\"><span>Pas \/ NEAT quotidien<\/span><span class=\"k\">\u00c9tage 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutriments<\/span><span class=\"k\">Sommet<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">Ne pas br\u00fbler les \u00e9tapes. Un BMR pr\u00e9cis sur bodyfat r\u00e9el, c&rsquo;est l&rsquo;\u00e9tage 2 \u2014 mais si tu ne traces pas r\u00e9guli\u00e8rement, optimiser les macros au pourcent pr\u00e8s ne sert \u00e0 rien.<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">15 &middot; FAQ<\/span>Tout ce que tu te demandes sur le m\u00e9tabolisme de base<\/h2>\n\n<details class=\"faq\"><summary>Que signifie BMR&nbsp;?<\/summary><div class=\"faq-body\"><p>BMR est l\u2019acronyme de Basal Metabolic Rate, \u00ab&nbsp;m\u00e9tabolisme de base&nbsp;\u00bb en fran\u00e7ais. Il d\u00e9signe l\u2019\u00e9nergie minimale, en kcal par jour, que ton organisme consomme au repos complet pour assurer ses fonctions vitales. C\u2019est la premi\u00e8re brique de l\u2019\u00e9quation TDEE&nbsp;= BMR&nbsp;+ NEAT&nbsp;+ EAT&nbsp;+ TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qu&rsquo;est-ce que le m\u00e9tabolisme de base ?<\/summary><div class=\"faq-body\"><p>Le m\u00e9tabolisme de base, ou BMR (Basal Metabolic Rate), est l&rsquo;\u00e9nergie minimale que ton corps br\u00fble au repos pour faire tourner ses fonctions vitales (coeur, cerveau, reins, foie, respiration, maintien de la temp\u00e9rature). Il est mesur\u00e9 \u00e0 jeun, allong\u00e9, en neutralit\u00e9 thermique. Il repr\u00e9sente 60 \u00e0 75&nbsp;% de ta d\u00e9pense totale (TDEE) chez la plupart des adultes.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Comment se calcule le BMR exactement ?<\/summary><div class=\"faq-body\"><p>Il existe quatre familles d&rsquo;\u00e9quations. Harris-Benedict 1919 et Mifflin-St Jeor 1990 calculent depuis poids, taille, \u00e2ge et sexe (rapides mais impr\u00e9cises sur les profils muscl\u00e9s ou s\u00e9dentaires). Les \u00e9quations sur masse maigre (forme publique 370 + 21,6 &times; FFM) calculent depuis la masse maigre r\u00e9elle (plus pr\u00e9cises mais n\u00e9cessitent le bodyfat). Le mod\u00e8le propri\u00e9taire brevet\u00e9 Lean s&rsquo;appuie sur la masse maigre r\u00e9elle mesur\u00e9e par BodyScan IA, int\u00e8gre l&rsquo;adaptation m\u00e9tabolique, et se recalibre semaine apr\u00e8s semaine.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quelle est la formule la plus pr\u00e9cise pour le BMR ?<\/summary><div class=\"faq-body\"><p>La formule la plus pr\u00e9cise est celle qui s&rsquo;appuie sur la masse maigre r\u00e9elle. Sans bodyfat, Mifflin-St Jeor 1990 reste la meilleure approximation publique (&plusmn;10 % sur 70 % des profils). Avec bodyfat, une \u00e9quation sur masse maigre type 370 + 21,6 &times; FFM est plus pr\u00e9cise. Le mod\u00e8le propri\u00e9taire brevet\u00e9 Lean affine encore en int\u00e9grant l&rsquo;adaptation m\u00e9tabolique et la recalibration continue.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quel mod\u00e8le th\u00e9orique utilise Lean pour le BMR ?<\/summary><div class=\"faq-body\"><p>Lean utilise un mod\u00e8le propri\u00e9taire d\u00e9velopp\u00e9 par l&rsquo;\u00e9quipe R&amp;D Lean, brevet\u00e9 en 2024. Il ne s&rsquo;appuie ni sur Harris-Benedict 1919 ni sur Mifflin-St Jeor 1990 : il calcule depuis la masse maigre r\u00e9elle mesur\u00e9e par BodyScan IA, avec une correction d&rsquo;\u00e2ge fine, une mod\u00e9lisation de l&rsquo;eau corporelle et du glycog\u00e8ne, et un coefficient d&rsquo;adaptation m\u00e9tabolique. Le mod\u00e8le se recalibre en continu \u00e0 chaque pes\u00e9e et chaque BodyScan.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Pourquoi mon BMR baisse-t-il quand je perds du poids ?<\/summary><div class=\"faq-body\"><p>Pour deux raisons. Premi\u00e8re raison physique : tu p\u00e8ses moins lourd, donc tu as moins de masse maigre \u00e0 entretenir, donc le BMR m\u00e9canique baisse. Deuxi\u00e8me raison physiologique : ton corps active une adaptation m\u00e9tabolique en d\u00e9ficit calorique prolong\u00e9, qui ralentit ton BMR de 5 \u00e0 25&nbsp;% sous sa valeur attendue (Hall 2008, M\u00fcller 2015). Sans mod\u00e9lisation de l&rsquo;adaptation, tu sous-estimes la baisse r\u00e9elle de ton BMR sur une s\u00e8che longue.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quelles sont les conditions optimales pour faire un BodyScan ?<\/summary><div class=\"faq-body\"><p>Pour une mesure pr\u00e9cise : lumi\u00e8re naturelle ou diffuse sans ombre port\u00e9e sur le corps ; respiration normale, pas de contraction des abdominaux ; m\u00eames conditions \u00e0 chaque scan (m\u00eame heure, m\u00eame lumi\u00e8re, m\u00eame distance cam\u00e9ra d&rsquo;environ 2 m\u00e8tres) ; \u00e9vite de scanner juste apr\u00e8s une s\u00e9ance de musculation (le pump gonfle temporairement les muscles et fausse la mesure). La r\u00e9gularit\u00e9 des conditions compte autant que la qualit\u00e9 d&rsquo;un scan isol\u00e9.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Le BMR est-il diff\u00e9rent chez l&rsquo;homme et la femme ?<\/summary><div class=\"faq-body\"><p>Oui. \u00c0 poids, taille et \u00e2ge \u00e9quivalents, les femmes ont en moyenne 8 \u00e0 12 % moins de masse maigre que les hommes (diff\u00e9rence hormonale et morphologique). Leur BMR est donc structurellement plus bas, de l&rsquo;ordre de 150 \u00e0 250 kcal\/jour. Les deux formules classiques int\u00e8grent une constante de sexe diff\u00e9rente. Sur Lean, c&rsquo;est la masse maigre mesur\u00e9e qui parle, ind\u00e9pendamment du sexe.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Combien de fois faut-il recalculer son BMR ?<\/summary><div class=\"faq-body\"><p>La recommandation Lean&nbsp;: <b>un BodyScan par semaine<\/b> et <b>minimum deux pes\u00e9es par semaine<\/b>. C&rsquo;est ce rythme qui donne \u00e0 l&rsquo;algorithme les donn\u00e9es suffisantes pour recalibrer ton BMR en continu sans bruit statistique. Lean fait le recalcul automatiquement \u00e0 chaque pes\u00e9e et chaque BodyScan, en utilisant la moyenne glissante des 7 derniers jours pour lisser les fluctuations d&rsquo;eau et de glycog\u00e8ne. Si ta composition corporelle est stable depuis 4 \u00e0 6 semaines, le BMR reste stable aussi.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>BMR vs m\u00e9tabolisme au repos (REE) : quelle diff\u00e9rence ?<\/summary><div class=\"faq-body\"><p>Le BMR (Basal Metabolic Rate) est mesur\u00e9 \u00e0 jeun, allong\u00e9, en neutralit\u00e9 thermique. Le REE (Resting Energy Expenditure) est mesur\u00e9 au repos mais dans des conditions un peu moins strictes. En pratique, REE \u2248 BMR + 3 \u00e0 10 %. Les apps grand public et les calculateurs en ligne m\u00e9langent souvent les deux termes. Lean utilise BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Peut-on augmenter son BMR naturellement ?<\/summary><div class=\"faq-body\"><p>Oui. Le seul levier s\u00e9rieux est <b>augmenter la masse maigre<\/b> (renforcement musculaire + apport prot\u00e9ique suffisant). Chaque kilo de muscle gagn\u00e9 ajoute environ 13 kcal\/jour \u00e0 ton BMR. La caf\u00e9ine, les bains froids, les r\u00e9gimes \u00ab\u00a0boost m\u00e9tabolique\u00a0\u00bb : effets transitoires de quelques dizaines de kcal sur quelques heures, n\u00e9gligeables face \u00e0 1 kg de muscle qui paie 365 jours par an.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00c0 quel \u00e2ge le BMR commence-t-il \u00e0 baisser ?<\/summary><div class=\"faq-body\"><p>L&rsquo;id\u00e9e d&rsquo;une baisse lin\u00e9aire d\u00e8s 25 ans est un mythe. L&rsquo;\u00e9tude de Pontzer (Science 2021, 6&thinsp;500 sujets) a montr\u00e9 que le BMR ajust\u00e9 pour la masse maigre reste stable de 20 \u00e0 60 ans, puis commence \u00e0 d\u00e9cliner d&rsquo;environ 0,7&nbsp;% par an. Ce qui change avec l&rsquo;\u00e2ge en pratique, c&rsquo;est la masse maigre qui diminue (sarcop\u00e9nie) si on n&rsquo;entretient pas le muscle. C&rsquo;est la sarcop\u00e9nie qui fait baisser le BMR, pas l&rsquo;\u00e2ge directement.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quel BMR pour quel objectif (s\u00e8che, bulk, maintenance) ?<\/summary><div class=\"faq-body\"><p>Le BMR ne change pas selon l&rsquo;objectif : c&rsquo;est une donn\u00e9e physiologique de ton corps. Ce qui change, c&rsquo;est l&rsquo;apport calorique cible. S\u00e8che : TDEE &minus; 20 % (donc BMR + NEAT + EAT + TEF &minus; 20 %). Bulk : TDEE + 10 \u00e0 15 %. Maintenance\/recomp : TDEE &plusmn; 0. Sur tous les cas, l&rsquo;erreur initiale sur le BMR se propage sur l&rsquo;objectif calorique. C&rsquo;est pour \u00e7a que la pr\u00e9cision du BMR est non-n\u00e9gociable.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Sources scientifiques<\/h4>\n  <ol>\n    <li>Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990 Feb;51(2):241-7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris JA, Benedict FG. A Biometric Study of Human Basal Metabolism. Proc Natl Acad Sci USA. 1918 Dec;4(12):370-3.<\/li>\n    <li>Frankenfield DC. Bias and accuracy of resting metabolic rate equations in non-obese and obese adults. Clin Nutr. 2013;32(6):976-82. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>M\u00fcller MJ, Bosy-Westphal A. Adaptive thermogenesis with weight loss in humans. Obesity. 2013 Feb;21(2):218-28. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n    <li>Hall KD. What is the required energy deficit per unit weight loss? Int J Obes. 2008;32(3):573-6. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>.<\/li>\n    <li>Pontzer H, Yamada Y, Sagayama H, et al. Daily energy expenditure through the human life course. Science. 2021;373(6556):808-812. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34385400\/\" target=\"_blank\" rel=\"noopener\">PubMed 34385400<\/a>.<\/li>\n    <li>Heymsfield SB, Smith B, Wong M, et al. Multicomponent density model: a parsimonious approach to assessing body composition. Obesity Reviews. 2015. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33442121\/\" target=\"_blank\" rel=\"noopener\">PubMed 33442121<\/a>.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Calcule ton BMR sur ton bodyfat r\u00e9el<\/h3>\n  <p>BodyScan IA en 5 secondes. Mod\u00e8le propri\u00e9taire brevet\u00e9. Recalibrage continu. Sans formule de 1919 ni de 1990. T\u00e9l\u00e9chargement gratuit, essai de 7 jours sur l&rsquo;annuel.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-bmr\" 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=pillar-bmr\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n\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\/metabolisme-de-base-v2\/#article\",\n      \"headline\": \"M\u00e9tabolisme de base : tout ce qu'il faut savoir pour le calculer pr\u00e9cis\u00e9ment (BMR expliqu\u00e9)\",\n      \"description\": \"Tout sur le m\u00e9tabolisme de base (BMR) : d\u00e9finition, organes, \u00e9quation TDEE, histoire des formules, pourquoi le bodyfat change tout, adaptation m\u00e9tabolique, BodyScan IA, strat\u00e9gies s\u00e8che\/bulk\/recomp.\",\n      \"datePublished\": \"2026-05-27\",\n      \"dateModified\": \"2026-05-27\",\n      \"author\": {\"@type\": \"Organization\", \"name\": \"L'\u00e9quipe Lean\"},\n      \"publisher\": {\"@type\": \"Organization\", \"name\": \"Lean\", \"url\": \"https:\/\/lean-app.com\"},\n      \"inLanguage\": \"fr-FR\",\n      \"mainEntityOfPage\": \"https:\/\/lean-app.com\/metabolisme-de-base\/\"\n    },\n    {\n      \"@type\": \"WebPage\",\n      \"@id\": \"https:\/\/lean-app.com\/metabolisme-de-base-v2\/#webpage\",\n      \"name\": \"M\u00e9tabolisme de base : BMR expliqu\u00e9 (pilier)\",\n      \"url\": \"https:\/\/lean-app.com\/metabolisme-de-base\/\",\n      \"inLanguage\": \"fr-FR\",\n      \"isPartOf\": {\"@type\": \"WebSite\", \"url\": \"https:\/\/lean-app.com\", \"name\": \"Lean\"}\n    },\n    {\n      \"@type\": \"BreadcrumbList\",\n      \"@id\": \"https:\/\/lean-app.com\/metabolisme-de-base-v2\/#breadcrumb\",\n      \"itemListElement\": [\n        {\"@type\": \"ListItem\", \"position\": 1, \"name\": \"Accueil\", \"item\": \"https:\/\/lean-app.com\/\"},\n        {\"@type\": \"ListItem\", \"position\": 2, \"name\": \"M\u00e9tabolisme de base\"}\n      ]\n    },\n    {\n      \"@type\": \"FAQPage\",\n      \"@id\": \"https:\/\/lean-app.com\/metabolisme-de-base-v2\/#faq\",\n      \"mainEntity\": [\n        {\"@type\": \"Question\", \"name\": \"Qu'est-ce que le m\u00e9tabolisme de base ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Le m\u00e9tabolisme de base, ou BMR (Basal Metabolic Rate), est l'\u00e9nergie minimale que ton corps br\u00fble au repos pour faire tourner ses fonctions vitales (coeur, cerveau, reins, foie, respiration, maintien de la temp\u00e9rature). Il repr\u00e9sente 60 \u00e0 75 % de ta d\u00e9pense totale (TDEE).\"}},\n        {\"@type\": \"Question\", \"name\": \"Quel mod\u00e8le th\u00e9orique utilise Lean pour le BMR ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Lean utilise un mod\u00e8le propri\u00e9taire d\u00e9velopp\u00e9 par l'\u00e9quipe R&D Lean, brevet\u00e9 en 2024. Il ne s'appuie ni sur Harris-Benedict 1919 ni sur Mifflin-St Jeor 1990 : il calcule depuis la masse maigre r\u00e9elle mesur\u00e9e par BodyScan IA, avec correction d'\u00e2ge fine, mod\u00e9lisation de l'eau corporelle et du glycog\u00e8ne, et un coefficient d'adaptation m\u00e9tabolique.\"}},\n        {\"@type\": \"Question\", \"name\": \"Quelles sont les conditions optimales pour faire un BodyScan ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Lumi\u00e8re naturelle ou diffuse sans ombre port\u00e9e ; respiration normale, pas de contraction des abdominaux ; m\u00eames conditions \u00e0 chaque scan (m\u00eame heure, m\u00eame lumi\u00e8re, m\u00eame distance cam\u00e9ra d'environ 2 m\u00e8tres) ; \u00e9vite de scanner juste apr\u00e8s une s\u00e9ance de musculation.\"}},\n        {\"@type\": \"Question\", \"name\": \"Pourquoi mon BMR baisse-t-il quand je perds du poids ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Pour deux raisons : physique (moins de masse maigre \u00e0 entretenir) et physiologique (adaptation m\u00e9tabolique, Hall 2008, M\u00fcller 2015 : 5 \u00e0 25 % de baisse du BMR en d\u00e9ficit prolong\u00e9).\"}},\n        {\"@type\": \"Question\", \"name\": \"Peut-on augmenter son BMR naturellement ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Oui, en augmentant la masse maigre via le renforcement musculaire et un apport prot\u00e9ique suffisant. 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Por que Mifflin erra ao ignorar sua atividade.<\/span><\/a><\/li><li><a href=\"\/pt\/effet-thermique-des-aliments\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TEF : l&rsquo;effet thermique des aliments selon tes macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10% de TDEE en moyenne, 25% si haute prot. M\u00e9thode de calcul Lean.<\/span><\/a><\/li><li><a href=\"\/pt\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: seu gasto esportivo real, sess\u00e3o por sess\u00e3o <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Os MET corretos, a armadilha da contagem dupla, o que Garmin e MyFitnessPal deixam passar.<\/span><\/a><\/li><li><a href=\"\/pt\/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;\">Melhores aplicativos para contar calorias em 2026: 8 aplicativos testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"\/pt\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean frente ao MyFitnessPal: a f\u00f3rmula TDEE que muda tudo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Por que o MFP erra no seu gasto cal\u00f3rico real.<\/span><\/a><\/li><li><a href=\"\/pt\/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;\">C\u00e1lculo do metabolismo basal: a f\u00f3rmula mais precisa (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=\"\/pt\/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><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Tout sur le m\u00e9tabolisme de base (BMR) : d\u00e9finition, \u00e9quation TDEE, histoire des formules (Harris-Benedict, Mifflin-St Jeor, \u00e9quations sur masse maigre, mod\u00e8le propri\u00e9taire brevet\u00e9 Lean), pourquoi le bodyfat change tout, strat\u00e9gies s\u00e8che\/bulk\/recomp.<\/p>","protected":false},"author":1,"featured_media":1545,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1587","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - 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