{"id":1587,"date":"2026-05-26T22:52:45","date_gmt":"2026-05-26T22:52:45","guid":{"rendered":"https:\/\/lean-app.com\/?p=1587"},"modified":"2026-09-08T18:17:13","modified_gmt":"2026-09-08T18:17:13","slug":"metabolisme-de-base","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/","title":{"rendered":"Metabolismo basal: tudo o que voc\u00ea precisa saber para calcul\u00e1-lo com precis\u00e3o (BMR explicado)"},"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; Metabolismo basal<\/div>\n  <div class=\"eyebrow\">Pilar &middot; Ci\u00eancia do metabolismo<\/div>\n  <h1 id=\"title\">Metabolismo basal.\n    <span class=\"alt\">Tudo o que voc\u00ea precisa saber para calcul\u00e1-lo com precis\u00e3o: o BMR explicado.<\/span>\n  <\/h1>\n  <p class=\"dek\">O metabolismo basal (BMR) \u00e9 a funda\u00e7\u00e3o do seu TDEE e de todo cutting bem-sucedido. Mas ele s\u00f3 \u00e9 preciso se conhecemos a massa magra real. Veja por qu\u00ea.<\/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; 11&nbsp;min de leitura &middot; Atualizado em 26 de maio de 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      O BMR (Basal Metabolic Rate, metabolismo basal) \u00e9 a energia que seu corpo queima em repouso para fazer funcionar seu cora\u00e7\u00e3o, seu c\u00e9rebro, seus rins. Ele representa de 60 a 75&nbsp;% do seu gasto total. No entanto, a maioria dos apps o calcula com peso+idade+sexo, e por isso erra de 200 a 500&nbsp;kcal\/dia nos perfis musculosos ou sedent\u00e1rios.\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=\"Vis\u00e3o geral do app Lean com detalhamento do TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Voltar\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vis\u00e3o geral Lean, aba Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Aba Balan\u00e7o\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Aba Calorias\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Aba Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Aba Estrat\u00e9gia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar no 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\">Resposta r\u00e1pida<\/div>\n    <p>O metabolismo basal (BMR) \u00e9 a energia que seu corpo gasta em repouso. Ele representa de 60 a 75&nbsp;% do seu gasto total (TDEE). Sua precis\u00e3o depende da <b>massa magra real<\/b>, portanto da gordura corporal. Harris-Benedict 1919 e Mifflin-St Jeor 1990 o estimam sem gordura corporal, com margem de erro de 200 a 500&nbsp;kcal\/dia. O Lean mede sua gordura corporal via BodyScan IA e depois aplica um <b>modelo propriet\u00e1rio patenteado<\/b> que calcula seu BMR sobre a massa magra real. <a href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\" style=\"color:var(--pink);text-decoration:underline\">Quer s\u00f3 o seu n\u00famero? Use a calculadora dedicada.<\/a><\/p>\n  <\/div>\n<\/section>\n\n<main class=\"wrap\">\n\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Defini\u00e7\u00e3o<\/span>O BMR, primeiro tijolo do TDEE<\/h2>\n\n<div class=\"body\">\n<p id=\"bmr-signification\"><b>BMR significa Basal Metabolic Rate<\/b>, em portugu\u00eas \u00ab&nbsp;metabolismo basal&nbsp;\u00bb (literalmente \u00ab&nbsp;taxa metab\u00f3lica basal&nbsp;\u00bb). Tr\u00eas letras para uma \u00fanica ideia: o n\u00famero m\u00ednimo de kcal que seu corpo queima por dia em repouso completo, s\u00f3 para mant\u00ea-lo vivo.<\/p>\n<p>O <b>BMR (Basal Metabolic Rate)<\/b>, ou metabolismo basal, \u00e9 a energia m\u00ednima que seu corpo queima em repouso para fazer funcionar suas fun\u00e7\u00f5es vitais: respira\u00e7\u00e3o, circula\u00e7\u00e3o sangu\u00ednea, funcionamento do c\u00e9rebro, dos rins, do f\u00edgado, manuten\u00e7\u00e3o da temperatura corporal. Medido em jejum, deitado, em neutralidade t\u00e9rmica. <b>\u00c9 o gasto fixo do seu organismo, independentemente do que voc\u00ea faz com seu dia.<\/b><\/p>\n<p>Na equa\u00e7\u00e3o can\u00f4nica do gasto energ\u00e9tico total, o BMR \u00e9 o primeiro tijolo:<\/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>Concretamente, seu BMR representa <b>de 60 a 75&nbsp;%<\/b> do seu TDEE na maioria dos adultos (o resto se divide entre NEAT, EAT e TEF). \u00c9 de longe a primeira rubrica de gasto. Se voc\u00ea errar 150&nbsp;kcal no seu BMR, seu TDEE est\u00e1 errado em 150&nbsp;kcal. Seu d\u00e9ficit est\u00e1 errado em 150&nbsp;kcal. Seu plano de cutting est\u00e1 errado em 150&nbsp;kcal. <b>Tudo parte da\u00ed.<\/b><\/p>\n<p>A adapta\u00e7\u00e3o metab\u00f3lica vem em seguida como <b>coeficiente multiplicador do BMR<\/b> em d\u00e9ficit cal\u00f3rico prolongado (conven\u00e7\u00e3o Lean: 100&nbsp;% = ideal, 90&nbsp;% = 10&nbsp;% de adapta\u00e7\u00e3o acumulada, ou seja, BMR reduzido em 10&nbsp;%). Ela n\u00e3o entra <b>passos<\/b> na soma do TDEE: ela modula o BMR.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Quer o detalhe dos 4 tijolos? <a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE completa<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT (passos)<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/eat\/\">EAT (esporte)<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF (digest\u00e3o)<\/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\">Distribui\u00e7\u00e3o t\u00edpica do TDEE: o BMR representa 57&nbsp;% do gasto total.<\/p>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Os motores do BMR<\/span>Quais \u00f3rg\u00e3os queimam o qu\u00ea em repouso?<\/h2>\n\n<div class=\"body\">\n<p>Seu metabolismo basal n\u00e3o \u00e9 uma m\u00e9dia abstrata. Ele corresponde \u00e0 soma das necessidades energ\u00e9ticas de cada \u00f3rg\u00e3o. Esta \u00e9 a distribui\u00e7\u00e3o medida na literatura fisiol\u00f3gica:<\/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)\">M\u00fasculos<\/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)\">F\u00edgado<\/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)\">C\u00e9rebro<\/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)\">Cora\u00e7\u00e3o<\/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)\">Rins<\/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)\">Tecido adiposo (gordura)<\/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)\">Resto (pele, intestinos&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>O que esta tabela diz imediatamente: <b>os m\u00fasculos representam 30&nbsp;% do BMR<\/b>, contra apenas 3&nbsp;% para a gordura. Ganhar massa muscular aumenta diretamente seu metabolismo basal. Perder m\u00fasculo (em um cutting mal conduzido) o faz cair. \u00c9 o mecanismo mais subestimado na gest\u00e3o do peso a longo prazo.<\/p>\n<p>Consequ\u00eancia importante: um BMR mais alto aumenta indiretamente seu NEAT e seu EAT. Exemplo concreto: um strongman com 1&thinsp;800&nbsp;kcal de BMR queima cerca de 0,08&nbsp;kcal por passo, contra 0,02&nbsp;kcal para uma mulher de 50&nbsp;kg. A mesma atividade produz um resultado metab\u00f3lico muito diferente segundo a massa magra de partida.<\/p>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Hist\u00f3ria<\/span>Quatro f\u00f3rmulas de BMR, 105 anos de evolu\u00e7\u00e3o<\/h2>\n<p>Quatro equa\u00e7\u00f5es dominam a literatura cient\u00edfica sobre o c\u00e1lculo do BMR h\u00e1 um s\u00e9culo. Cada uma responde a uma \u00e9poca, uma amostra, uma inten\u00e7\u00e3o. Veja o que elas realmente dizem e seus limites.<\/p>\n\n<div class=\"compar-grid\">\n  <div class=\"compar-card\">\n    <h4>Harris-Benedict<\/h4>\n    <div class=\"year\">1919, revisada em 1984 &middot; 136 sujeitos<\/div>\n    <p class=\"desc\">A grande ancestral. Estima o BMR a partir de peso, altura, idade e sexo. Ainda usada por padr\u00e3o em muitas calculadoras online e em alguns apps de consumo.<\/p>\n    <p class=\"pros\"><b>+<\/b> Citada em todo lugar, compar\u00e1vel de uma calculadora a outra.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Calibrada sobre uma popula\u00e7\u00e3o centen\u00e1ria. Superestima o BMR de 5 a 10&nbsp;% nos perfis modernos.<\/p>\n  <\/div>\n\n  <div class=\"compar-card\">\n    <h4>Mifflin-St Jeor<\/h4>\n    <div class=\"year\">1990 &middot; 498 sujeitos<\/div>\n    <p class=\"desc\">Recalibrada sobre uma popula\u00e7\u00e3o americana do fim dos anos 80. Considerada a refer\u00eancia \u00abmoderna sem gordura corporal\u00bb pelos nutricionistas cl\u00ednicos. Precisa a &plusmn;10&nbsp;% no perfil m\u00e9dio.<\/p>\n    <p class=\"pros\"><b>+<\/b> Mais precisa que Harris-Benedict em 70&nbsp;% dos perfis.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Nenhuma considera\u00e7\u00e3o da gordura corporal. Margem de erro de 200 a 400 kcal em perfis musculosos ou sedent\u00e1rios.<\/p>\n  <\/div>\n\n  <div class=\"compar-card\">\n    <h4>Equa\u00e7\u00f5es sobre massa magra<\/h4>\n    <div class=\"year\">Anos 1980 e depois &middot; literatura fisiol\u00f3gica<\/div>\n    <p class=\"desc\">Fam\u00edlia de equa\u00e7\u00f5es que se apoiam na <b>massa magra (FFM)<\/b> em vez do peso total. Forma p\u00fablica t\u00edpica: 370 + 21,6 &times; FFM (kg). Mais precisa cientificamente, mas exige conhecer a gordura corporal.<\/p>\n    <p class=\"pros\"><b>+<\/b> Precis\u00e3o melhorada em todos os perfis, inclusive musculosos e sedent\u00e1rios.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Exige uma medi\u00e7\u00e3o precisa da gordura corporal (bioimped\u00e2ncia, DEXA ou BodyScan IA). Historicamente pouco acess\u00edvel.<\/p>\n  <\/div>\n\n  <div class=\"compar-card lean\">\n    <h4>Modelo propriet\u00e1rio patenteado do Lean<\/h4>\n    <div class=\"year\">2024 &middot; calibrado com mais de 10&thinsp;000 usu\u00e1rios<\/div>\n    <p class=\"desc\">Se apoia na <b>massa magra real<\/b> medida por BodyScan IA, integra uma fun\u00e7\u00e3o de adapta\u00e7\u00e3o metab\u00f3lica em d\u00e9ficit, aplica uma corre\u00e7\u00e3o fina de idade e se recalibra semana ap\u00f3s semana com a pesagem e o BodyScan. <b>N\u00e3o \u00e9 uma f\u00f3rmula de papel: \u00e9 um modelo que aprende com seus dados.<\/b><\/p>\n    <p class=\"pros\"><b>+<\/b> Precis\u00e3o &plusmn;3&nbsp;% em perfis musculosos, sedent\u00e1rios, menopausa, p\u00f3s-gravidez. Recalibra\u00e7\u00e3o cont\u00ednua.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Requer um BodyScan IA inicial (5 segundos, gr\u00e1tis no Lean) e um dado de peso regular.<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; A alavanca<\/span>Por que a gordura corporal muda tudo no BMR<\/h2>\n\n<div class=\"statement\"><p>Dois homens de 80&nbsp;kg n\u00e3o t\u00eam o mesmo BMR. <span class=\"accent\">O m\u00fasculo queima 3 vezes mais do que a gordura em repouso.<\/span><\/p><\/div>\n\n<div class=\"body\">\n<p>A massa magra (\u00f3rg\u00e3os + m\u00fasculos + ossos + \u00e1gua) \u00e9 o motor metab\u00f3lico. A massa gorda, por sua vez, \u00e9 quase inerte do ponto de vista energ\u00e9tico. Concretamente: <b>1&nbsp;kg de m\u00fasculo queima cerca de 13&nbsp;kcal\/dia em repouso, 1&nbsp;kg de gordura cerca de 4&nbsp;kcal\/dia<\/b> (Heymsfield, M\u00fcller, Hall). A rela\u00e7\u00e3o \u00e9 de 3 para 1.<\/p>\n<p>Pegue dois homens de 80&nbsp;kg e 180&nbsp;cm. O primeiro est\u00e1 com 12&nbsp;% de gordura corporal (esportista, massa magra 70,4&nbsp;kg). O segundo com 28&nbsp;% (sedent\u00e1rio, massa magra 57,6&nbsp;kg). No BMR calculado por uma equa\u00e7\u00e3o sobre massa magra, a diferen\u00e7a \u00e9 da ordem de <b>275 kcal\/dia<\/b>. Mifflin-St Jeor, no entanto, atribui a eles o mesmo n\u00famero: 1&thinsp;780 kcal. \u00c9 o erro estrutural que passa despercebido durante meses de cutting fracassado.<\/p>\n<p>Pior: em d\u00e9ficit prolongado, seu BMR n\u00e3o cai s\u00f3 porque voc\u00ea pesa menos (Hall 2008, M\u00fcller 2015). Ele cai tamb\u00e9m porque seu corpo ativa uma <b>adapta\u00e7\u00e3o metab\u00f3lica<\/b> : de 5 a 25&nbsp;% a menos segundo o d\u00e9ficit e sua dura\u00e7\u00e3o. Sem gordura corporal E sem adapta\u00e7\u00e3o modelada, voc\u00ea navega \u00e0s cegas.<\/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> : resultado gordura corporal 11&nbsp;%, precis\u00e3o de 2&nbsp;%. Foto, 5 segundos.<\/p>\n<\/div>\n\n<div class=\"body\">\n<p>A abordagem cient\u00edfica para calcular um BMR mais preciso quando se conhece a gordura corporal se apoia na <b>massa magra (FFM, Fat-Free Mass)<\/b>. A forma p\u00fablica dessa equa\u00e7\u00e3o, citada desde os anos 80 na literatura fisiol\u00f3gica, d\u00e1 aproximadamente 370 + 21,6 &times; massa magra (kg). O <b>modelo propriet\u00e1rio patenteado Lean<\/b> vai mais longe: integra uma fun\u00e7\u00e3o de adapta\u00e7\u00e3o metab\u00f3lica, a \u00e1gua corporal, o glicog\u00eanio, e se recalibra via BodyScan IA a cada pesagem.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Quer comparar as 3 f\u00f3rmulas com seus pr\u00f3prios n\u00fameros? <a href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\">Use a calculadora de metabolismo basal Lean<\/a> (Harris-Benedict, Mifflin-St Jeor, abordagem sobre massa magra).\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Tr\u00eas perfis, tr\u00eas verdades<\/span>A diferen\u00e7a Mifflin contra Lean cresce com sua composi\u00e7\u00e3o<\/h2>\n<p>Tr\u00eas homens de morfotipos diferentes, c\u00e1lculos comparados. Os n\u00fameros saem das tr\u00eas f\u00f3rmulas com 80&nbsp;kg \/ 180&nbsp;cm \/ 32&nbsp;anos, ajustando apenas a gordura corporal. Voc\u00ea v\u00ea imediatamente onde Harris-Benedict e Mifflin-St Jeor erram.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Perfil esportivo<\/h4>\n    <div class=\"meta\">32 anos &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 12&nbsp;% de gordura &middot; massa magra 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>Abordagem Lean (massa magra)<\/span><span class=\"v\">1&thinsp;873 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Diferen\u00e7a Lean vs Mifflin: <b style=\"color:var(--pink)\">+93 kcal\/dia<\/b>. Em 90 dias, s\u00e3o quase 10&thinsp;000 kcal &laquo;esquecidas&raquo; pelas f\u00f3rmulas cl\u00e1ssicas.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Perfil m\u00e9dio<\/h4>\n    <div class=\"meta\">32 anos &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 20&nbsp;% de gordura &middot; massa magra 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>Abordagem Lean (massa magra)<\/span><span class=\"v\">1&thinsp;735 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Diferen\u00e7a Lean vs Mifflin: <b style=\"color:var(--pink)\">&minus;45 kcal\/dia<\/b>. Neste perfil m\u00e9dio, Mifflin encaixa bem (\u00e9 o perfil sobre o qual a f\u00f3rmula foi calibrada em 1990). Qualquer desvio desse perfil aumenta o erro.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Perfil sedent\u00e1rio<\/h4>\n    <div class=\"meta\">32 anos &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 28&nbsp;% de gordura &middot; massa magra 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>Abordagem Lean (massa magra)<\/span><span class=\"v\">1&thinsp;597 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Diferen\u00e7a Lean vs Mifflin: <b style=\"color:var(--pink)\">&minus;183 kcal\/dia<\/b>. Mifflin superestima seu BMR em 166 kcal. \u00c9 exatamente por isso que tantos perfis com sobrepeso &laquo;n\u00e3o emagrecem apesar do d\u00e9ficit calculado&raquo;.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; O motor Lean<\/span>Como o Lean calcula seu BMR (modelo propriet\u00e1rio patenteado)<\/h2>\n\n<div class=\"body\">\n<p>O Lean usa um modelo propriet\u00e1rio patenteado para calcular seu BMR. O dado de entrada principal n\u00e3o \u00e9 seu peso: \u00e9 sua <b>massa magra real<\/b>, deduzida da sua gordura corporal medida por BodyScan IA. A massa gorda \u00e9 ignorada no c\u00e1lculo do motor metab\u00f3lico, porque ela \u00e9 metabolicamente inerte.<\/p>\n<p>Quatro pilares do modelo Lean:<\/p>\n<ol style=\"margin:14px 0 14px 22px;padding:0;line-height:1.7\">\n  <li><b>BodyScan IA<\/b> : foto, 5 segundos, precis\u00e3o da ordem DEXA em mais de 10&thinsp;000 usu\u00e1rios. O Lean deduz da\u00ed sua massa magra real.<\/li>\n  <li><b>Modelo propriet\u00e1rio patenteado<\/b> : aplica sobre sua massa magra uma fun\u00e7\u00e3o que integra uma corre\u00e7\u00e3o fina de idade, a \u00e1gua corporal e o glicog\u00eanio. N\u00e3o \u00e9 uma f\u00f3rmula de papel: \u00e9 um modelo que aprende com seus dados.<\/li>\n  <li><b>Adapta\u00e7\u00e3o metab\u00f3lica modelada<\/b> : conven\u00e7\u00e3o 100&nbsp;% = ideal, 90&nbsp;% = 10&nbsp;% de adapta\u00e7\u00e3o. O coeficiente modula o BMR em d\u00e9ficit prolongado (nunca somado na soma do TDEE).<\/li>\n  <li><b>Recalibra\u00e7\u00e3o cont\u00ednua<\/b> : a cada pesagem, a cada BodyScan, o BMR \u00e9 recalculado. Voc\u00ea n\u00e3o faz o c\u00e1lculo de uma vez por todas: ele vive com voc\u00ea.<\/li>\n<\/ol>\n<p>O Lean usa tamb\u00e9m a <b>m\u00e9dia dos \u00faltimos 7 dias de peso<\/b> (e n\u00e3o o peso do dia) para suavizar as flutua\u00e7\u00f5es de \u00e1gua e glicog\u00eanio. Isso evita que uma refei\u00e7\u00e3o carregada de sal na v\u00e9spera fa\u00e7a seu BMR subir ou cair artificialmente.<\/p>\n<p>\u00c9 por isso que o Lean se recusa a te dar um objetivo cal\u00f3rico enquanto seu BodyScan IA n\u00e3o foi feito. N\u00e3o por capricho. Por coer\u00eancia: sem gordura corporal, o BMR \u00e9 uma m\u00e9dia estat\u00edstica. Com ela, \u00e9 o seu 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> : calculado sobre sua massa magra real, recalibrado a cada pesagem.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Quer seu verdadeiro BMR sobre sua gordura corporal real? <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\">Instale o Lean<\/a> e fa\u00e7a seu primeiro BodyScan em 5 segundos. Sem f\u00f3rmula de papel.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">08 &middot; BodyScan IA<\/span>Medir a gordura corporal em 5 segundos para um BMR preciso<\/h2>\n\n<div class=\"body\">\n<p>Sem gordura corporal real, at\u00e9 a melhor equa\u00e7\u00e3o sobre massa magra \u00e9 in\u00fatil. O Lean resolve esse problema com o <b>BodyScan IA<\/b> : uma foto de frente, 5 segundos de processamento, precis\u00e3o da ordem de 2 pontos de gordura corporal. Nenhum aparelho externo, nenhuma pesagem de bioimped\u00e2ncia, nenhuma sess\u00e3o 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=\"Demonstra\u00e7\u00e3o AI BodyScan homem\"><\/video>\n  <p style=\"margin:8px 0 0;font-size:12px;color:var(--muted)\">BodyScan homem<\/p>\n<\/div>\n\n\n<div class=\"body\">\n<p><b>Condi\u00e7\u00f5es ideais para um BodyScan preciso:<\/b><\/p>\n<ul style=\"margin:10px 0 10px 22px;padding:0;line-height:1.8\">\n  <li>Luz natural ou luz difusa, sem sombra projetada sobre o corpo<\/li>\n  <li>Respira\u00e7\u00e3o normal, sem encolher a barriga, sem contrair os abdominais<\/li>\n  <li>Mesmas condi\u00e7\u00f5es a cada scan (mesma hora, mesma luz, mesma dist\u00e2ncia da c\u00e2mera)<\/li>\n  <li>N\u00e3o logo depois de um treino (o pump muscular falseia a medi\u00e7\u00e3o)<\/li>\n  <li>Dist\u00e2ncia da c\u00e2mera: cerca de 2 metros, corpo inteiro no enquadramento<\/li>\n<\/ul>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">09 &middot; Adapta\u00e7\u00e3o metab\u00f3lica<\/span>O 5.\u00ba componente que modula tudo<\/h2>\n\n<div class=\"body\">\n<p>A adapta\u00e7\u00e3o metab\u00f3lica n\u00e3o est\u00e1 na soma do TDEE. \u00c9 um <b>coeficiente multiplicador do BMR<\/b> que se ativa em d\u00e9ficit cal\u00f3rico prolongado. Conven\u00e7\u00e3o Lean:<\/p>\n<ul style=\"margin:10px 0 14px 22px;padding:0;line-height:1.8\">\n  <li><b>100&nbsp;%<\/b> : sem adapta\u00e7\u00e3o, BMR ideal<\/li>\n  <li><b>90 a 98&nbsp;%<\/b> : adapta\u00e7\u00e3o leve a moderada, BMR reduzido de 2 a 10&nbsp;%<\/li>\n  <li><b>Abaixo de 90&nbsp;%<\/b> : retorno \u00e0 manuten\u00e7\u00e3o recomendado (diet break ou semana de manuten\u00e7\u00e3o)<\/li>\n<\/ul>\n<p>Esse fen\u00f4meno, medido por Hall (2008) e M\u00fcller (2015), explica os plat\u00f4s de cutting. Seu corpo n\u00e3o \u00abresiste\u00bb \u00e0 perda de peso por m\u00e1gica: ele simplesmente reduz seu BMR para compensar o d\u00e9ficit. Sem modelar esse coeficiente, seu TDEE calculado fica cada vez mais otimista com o passar das semanas.<\/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 real (medido) vs TDEE calculado sem adapta\u00e7\u00e3o. A diferen\u00e7a aumenta ap\u00f3s 4 a 6 semanas 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\">Acompanhamento semanal do BMR com coeficiente de adapta\u00e7\u00e3o metab\u00f3lica no Lean.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  O Lean \u00e9 o <b>primeiro app do mundo<\/b> a modelar a adapta\u00e7\u00e3o metab\u00f3lica em tempo real. <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\">Baixar o Lean<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Acompanhamento do BMR no Lean<\/span>An\u00e1lise de tend\u00eancia, peso 7 dias, gordura corporal cont\u00ednua<\/h2>\n\n<div class=\"body\">\n<p>O Lean n\u00e3o calcula seu BMR de uma vez por todas. Ele o atualiza a cada pesagem e a cada BodyScan, com tr\u00eas telas dedicadas:<\/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>Tend\u00eancia BMR<\/b> : gr\u00e1fico semanal, voc\u00ea v\u00ea a adapta\u00e7\u00e3o se formar em tempo real.<\/p>\n<\/div>\n\n\n<div class=\"body\">\n<p>A pesagem di\u00e1ria no Lean usa a <b>m\u00e9dia m\u00f3vel dos \u00faltimos 7 dias<\/b> para suavizar as flutua\u00e7\u00f5es naturais de \u00e1gua e glicog\u00eanio. Uma varia\u00e7\u00e3o de 1 a 2&nbsp;kg de um dia para o outro \u00e9 normal e n\u00e3o reflete a verdadeira composi\u00e7\u00e3o corporal. \u00c9 essa m\u00e9dia que alimenta o rec\u00e1lculo do BMR, n\u00e3o o peso bruto da manh\u00e3.<\/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)\">M\u00e9dia de 7 dias autom\u00e1tica<\/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)\">Peso + gordura corporal: gordura ou m\u00fasculo?<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">11 &middot; TDEE completo<\/span>Gasto cal\u00f3rico total a partir do seu BMR<\/h2>\n\n<div class=\"body\">\n<p>Uma vez que seu BMR \u00e9 preciso, os outros tr\u00eas componentes do TDEE se sobrep\u00f5em:<\/p>\n<ul style=\"margin:10px 0 14px 22px;padding:0;line-height:1.8\">\n  <li><b>NEAT<\/b> (Non-Exercise Activity Thermogenesis): seus passos e atividades fora do esporte. O Lean o mede pelo ped\u00f4metro integrado.<\/li>\n  <li><b>EAT<\/b> (Exercise Activity Thermogenesis): seus treinos registrados. O Lean permite registrar a intensidade e o tipo de treino para um c\u00e1lculo preciso.<\/li>\n  <li><b>TEF<\/b> (Thermic Effect of Food): a energia gasta para digerir. Calculado automaticamente segundo os macros inseridos.<\/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 em tempo real<\/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)\">Treino de muscula\u00e7\u00e3o: intensidade \u2192 EAT preciso<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">12 &middot; Estrat\u00e9gias<\/span>BMR e plano de ataque segundo seu objetivo<\/h2>\n<p>Uma vez conhecido seu BMR preciso, a aplica\u00e7\u00e3o pr\u00e1tica \u00e9 direta. Tr\u00eas casos, tr\u00eas alavancas de c\u00e1lculo.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Cutting (perda de gordura)<\/h4>\n    <div class=\"meta\">Objetivo: d\u00e9ficit cal\u00f3rico moderado, preserva\u00e7\u00e3o do m\u00fasculo<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Ingest\u00e3o alvo<\/span><span class=\"v\">TDEE &minus; 20&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Adapta\u00e7\u00e3o a vigiar<\/span><span class=\"v\">5 a 15&nbsp;% do BMR<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibra\u00e7\u00e3o Lean<\/span><span class=\"v\">Semanal (pesagem + BodyScan)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">O d\u00e9ficit mostrado pelo MyFitnessPal com Mifflin sem gordura corporal pode estar errado em <b style=\"color:var(--pink)\">200 a 400 kcal\/dia<\/b>. Ferramenta detalhada: <a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">calculadora de d\u00e9ficit cal\u00f3rico<\/a>.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Bulk (ganho de m\u00fasculo)<\/h4>\n    <div class=\"meta\">Objetivo: super\u00e1vit controlado, m\u00ednimo de ganho de gordura<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Ingest\u00e3o alvo<\/span><span class=\"v\">TDEE + 10 a 15&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Risco sem BMR preciso<\/span><span class=\"v\">Super\u00e1vit excessivo (gordura in\u00fatil)<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibra\u00e7\u00e3o Lean<\/span><span class=\"v\">Semanal (verifica\u00e7\u00e3o da massa magra)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Um bulk limpo exige separar a massa magra ganha da massa gorda. O BodyScan IA semanal do Lean te mostra isso, sem imagem m\u00e9dica.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Manuten\u00e7\u00e3o \/ recomposi\u00e7\u00e3o<\/h4>\n    <div class=\"meta\">Objetivo: a composi\u00e7\u00e3o melhora com peso est\u00e1vel<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Ingest\u00e3o alvo<\/span><span class=\"v\">TDEE &plusmn; 0<\/span><\/div>\n      <div class=\"rw\"><span>Acompanhamento chave<\/span><span class=\"v\">Gordura corporal &darr;, massa magra &uarr;<\/span><\/div>\n      <div class=\"rw lean\"><span>Recalibra\u00e7\u00e3o Lean<\/span><span class=\"v\">Di\u00e1ria, balan\u00e7o ao vivo<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A recomposi\u00e7\u00e3o corporal n\u00e3o aparece na balan\u00e7a. Aparece na gordura corporal. Sem BodyScan, voc\u00ea est\u00e1 \u00e0s cegas.<\/div>\n  <\/div>\n<\/div>\n\n\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Tutoriais<\/span>Como usar o Lean para seu BMR<\/h2>\n\n<div class=\"body\">\n<p>Dois v\u00eddeos para come\u00e7ar concretamente:<\/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=\"Assistir ao v\u00eddeo: COMO CONTAR SUAS CALORIAS COM O 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\">Tutorial completo: contar suas calorias com o Lean, de A a 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=\"Assistir ao v\u00eddeo: Como eu DOBREI meu gasto cal\u00f3rico para PERDER GORDURA\" 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\">Como dobrar seu gasto cal\u00f3rico otimizando cada componente do TDEE.<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">14 &middot; A pir\u00e2mide<\/span>O BMR na base da Pir\u00e2mide de Progress\u00e3o Lean<\/h2>\n\n<div class=\"body\">\n<p>Na filosofia Lean, o BMR n\u00e3o \u00e9 o topo do plano de ataque, \u00e9 a <b>base<\/b>. A <b>Ficha Cassegrain &middot; 298 escaneamentos<\/b> hierarquiza o que realmente conta para um cutting bem-sucedido: ader\u00eancia &gt; objetivo cal\u00f3rico &gt; passos. E por tr\u00e1s do objetivo cal\u00f3rico est\u00e1 seu TDEE, portanto seu BMR.<\/p>\n<p>Enquanto seu BMR estiver errado, todo o plano est\u00e1 errado. \u00c9 por isso que o Lean se recusa a dar um objetivo sem BodyScan IA. E \u00e9 tamb\u00e9m por isso que recalcular seu BMR a cada pesagem (portanto continuamente) \u00e9 a \u00fanica forma de evitar o plat\u00f4.<\/p>\n<\/div>\n\n<div class=\"pyramid\" aria-label=\"Pir\u00e2mide de Progress\u00e3o Lean\">\n  <div class=\"level l1\"><span>Ader\u00eancia<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Objetivo cal\u00f3rico (BMR preciso)<\/span><span class=\"k\">N\u00edvel 2<\/span><\/div>\n  <div class=\"level l3\"><span>Passos \/ NEAT di\u00e1rio<\/span><span class=\"k\">N\u00edvel 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutrientes<\/span><span class=\"k\">Topo<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">N\u00e3o queimar etapas. Um BMR preciso sobre gordura corporal real \u00e9 o n\u00edvel 2. Mas se voc\u00ea n\u00e3o registra regularmente, otimizar os macros no um por cento n\u00e3o serve para nada.<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">15 &middot; FAQ<\/span>Tudo o que voc\u00ea se pergunta sobre o metabolismo basal<\/h2>\n\n<details class=\"faq\"><summary>O que significa BMR?<\/summary><div class=\"faq-body\"><p>BMR \u00e9 a sigla de Basal Metabolic Rate, \u00ab&nbsp;metabolismo basal&nbsp;\u00bb em portugu\u00eas. Designa a energia m\u00ednima, em kcal por dia, que seu organismo consome em repouso completo para garantir suas fun\u00e7\u00f5es vitais. \u00c9 o primeiro tijolo da equa\u00e7\u00e3o TDEE&nbsp;= BMR&nbsp;+ NEAT&nbsp;+ EAT&nbsp;+ TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>O que \u00e9 o metabolismo basal?<\/summary><div class=\"faq-body\"><p>O metabolismo basal, ou BMR (Basal Metabolic Rate), \u00e9 a energia m\u00ednima que seu corpo queima em repouso para fazer funcionar suas fun\u00e7\u00f5es vitais (cora\u00e7\u00e3o, c\u00e9rebro, rins, f\u00edgado, respira\u00e7\u00e3o, manuten\u00e7\u00e3o da temperatura). \u00c9 medido em jejum, deitado, em neutralidade t\u00e9rmica. Representa de 60 a 75&nbsp;% do seu gasto total (TDEE) na maioria dos adultos.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Como se calcula o BMR exatamente?<\/summary><div class=\"faq-body\"><p>Existem quatro fam\u00edlias de equa\u00e7\u00f5es. Harris-Benedict 1919 e Mifflin-St Jeor 1990 calculam a partir de peso, altura, idade e sexo (r\u00e1pidas mas imprecisas nos perfis musculosos ou sedent\u00e1rios). As equa\u00e7\u00f5es sobre massa magra (forma p\u00fablica 370 + 21,6 &times; FFM) calculam a partir da massa magra real (mais precisas mas exigem a gordura corporal). O modelo propriet\u00e1rio patenteado Lean se apoia na massa magra real medida por BodyScan IA, integra a adapta\u00e7\u00e3o metab\u00f3lica e se recalibra semana ap\u00f3s semana.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qual \u00e9 a f\u00f3rmula mais precisa para o BMR?<\/summary><div class=\"faq-body\"><p>A f\u00f3rmula mais precisa \u00e9 a que se apoia na massa magra real. Sem gordura corporal, Mifflin-St Jeor 1990 continua sendo a melhor aproxima\u00e7\u00e3o p\u00fablica (&plusmn;10 % em 70 % dos perfis). Com gordura corporal, uma equa\u00e7\u00e3o sobre massa magra tipo 370 + 21,6 &times; FFM \u00e9 mais precisa. O modelo propriet\u00e1rio patenteado Lean refina ainda mais integrando a adapta\u00e7\u00e3o metab\u00f3lica e a recalibra\u00e7\u00e3o cont\u00ednua.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qual modelo te\u00f3rico o Lean usa para o BMR?<\/summary><div class=\"faq-body\"><p>O Lean usa um modelo propriet\u00e1rio desenvolvido pela equipe de P&amp;D do Lean, patenteado em 2024. Ele n\u00e3o se apoia nem em Harris-Benedict 1919 nem em Mifflin-St Jeor 1990: calcula a partir da massa magra real medida por BodyScan IA, com uma corre\u00e7\u00e3o fina de idade, uma modelagem da \u00e1gua corporal e do glicog\u00eanio, e um coeficiente de adapta\u00e7\u00e3o metab\u00f3lica. O modelo se recalibra continuamente a cada pesagem e a cada BodyScan.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Por que meu BMR cai quando eu perco peso?<\/summary><div class=\"faq-body\"><p>Por duas raz\u00f5es. Primeira raz\u00e3o f\u00edsica: voc\u00ea pesa menos, portanto tem menos massa magra para manter, portanto o BMR mec\u00e2nico cai. Segunda raz\u00e3o fisiol\u00f3gica: seu corpo ativa uma adapta\u00e7\u00e3o metab\u00f3lica em d\u00e9ficit cal\u00f3rico prolongado, que desacelera seu BMR de 5 a 25&nbsp;% abaixo do valor esperado (Hall 2008, M\u00fcller 2015). Sem modelar a adapta\u00e7\u00e3o, voc\u00ea subestima a queda real do seu BMR em um cutting longo.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quais s\u00e3o as condi\u00e7\u00f5es ideais para fazer um BodyScan?<\/summary><div class=\"faq-body\"><p>Para uma medi\u00e7\u00e3o precisa: luz natural ou difusa sem sombra projetada sobre o corpo; respira\u00e7\u00e3o normal, sem contrair os abdominais; mesmas condi\u00e7\u00f5es a cada scan (mesma hora, mesma luz, mesma dist\u00e2ncia da c\u00e2mera de cerca de 2 metros); evite escanear logo depois de um treino de muscula\u00e7\u00e3o (o pump incha temporariamente os m\u00fasculos e falseia a medi\u00e7\u00e3o). A regularidade das condi\u00e7\u00f5es conta tanto quanto a qualidade de um scan isolado.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>O BMR \u00e9 diferente entre homem e mulher?<\/summary><div class=\"faq-body\"><p>Sim. Com peso, altura e idade equivalentes, as mulheres t\u00eam em m\u00e9dia de 8 a 12 % menos massa magra do que os homens (diferen\u00e7a hormonal e morfol\u00f3gica). Seu BMR \u00e9 portanto estruturalmente mais baixo, da ordem de 150 a 250 kcal\/dia. As duas f\u00f3rmulas cl\u00e1ssicas integram uma constante de sexo diferente. No Lean, \u00e9 a massa magra medida que fala, independentemente do sexo.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Com que frequ\u00eancia recalcular o BMR?<\/summary><div class=\"faq-body\"><p>A recomenda\u00e7\u00e3o Lean: <b>um BodyScan por semana<\/b> e <b>no m\u00ednimo duas pesagens por semana<\/b>. \u00c9 esse ritmo que d\u00e1 ao algoritmo os dados suficientes para recalibrar seu BMR continuamente sem ru\u00eddo estat\u00edstico. O Lean faz o rec\u00e1lculo automaticamente a cada pesagem e a cada BodyScan, usando a m\u00e9dia m\u00f3vel dos \u00faltimos 7 dias para suavizar as flutua\u00e7\u00f5es de \u00e1gua e glicog\u00eanio. Se sua composi\u00e7\u00e3o corporal est\u00e1 est\u00e1vel h\u00e1 4 a 6 semanas, o BMR tamb\u00e9m permanece est\u00e1vel.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>BMR vs metabolismo em repouso (REE): qual a diferen\u00e7a?<\/summary><div class=\"faq-body\"><p>O BMR (Basal Metabolic Rate) \u00e9 medido em jejum, deitado, em neutralidade t\u00e9rmica. O REE (Resting Energy Expenditure) \u00e9 medido em repouso, mas em condi\u00e7\u00f5es um pouco menos estritas. Na pr\u00e1tica, REE \u2248 BMR + 3 a 10 %. Os apps de consumo e as calculadoras online costumam misturar os dois termos. O Lean usa BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00c9 poss\u00edvel aumentar o BMR naturalmente?<\/summary><div class=\"faq-body\"><p>Sim. A \u00fanica alavanca s\u00e9ria \u00e9 <b>aumentar a massa magra<\/b> (treino de for\u00e7a + ingest\u00e3o proteica suficiente). Cada quilo de m\u00fasculo ganho acrescenta cerca de 13 kcal\/dia ao seu BMR. Cafe\u00edna, banhos frios, dietas \u00abaceleradoras de metabolismo\u00bb: efeitos transit\u00f3rios de algumas dezenas de kcal por algumas horas, insignificantes diante de 1 kg de m\u00fasculo que paga 365 dias por ano.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>A partir de que idade o BMR come\u00e7a a cair?<\/summary><div class=\"faq-body\"><p>A ideia de uma queda linear desde os 25 anos \u00e9 um mito. O estudo de Pontzer (Science 2021, 6&thinsp;500 sujeitos) mostrou que o BMR ajustado pela massa magra permanece est\u00e1vel dos 20 aos 60 anos, e depois come\u00e7a a declinar cerca de 0,7&nbsp;% ao ano. O que muda com a idade na pr\u00e1tica \u00e9 a massa magra que diminui (sarcopenia) se n\u00e3o mantivermos o m\u00fasculo. \u00c9 a sarcopenia que faz o BMR cair, n\u00e3o a idade diretamente.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qual BMR para qual objetivo (cutting, bulk, manuten\u00e7\u00e3o)?<\/summary><div class=\"faq-body\"><p>O BMR n\u00e3o muda segundo o objetivo: \u00e9 um dado fisiol\u00f3gico do seu corpo. O que muda \u00e9 a ingest\u00e3o cal\u00f3rica alvo. Cutting: TDEE &minus; 20 % (ou seja, BMR + NEAT + EAT + TEF &minus; 20 %). Bulk: TDEE + 10 a 15 %. Manuten\u00e7\u00e3o\/recomposi\u00e7\u00e3o: TDEE &plusmn; 0. Em todos os casos, o erro inicial no BMR se propaga ao objetivo cal\u00f3rico. \u00c9 por isso que a precis\u00e3o do BMR \u00e9 inegoci\u00e1vel.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Fontes cient\u00edficas<\/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 seu BMR sobre sua gordura corporal real<\/h3>\n  <p>BodyScan IA em 5 segundos. Modelo propriet\u00e1rio patenteado. Recalibra\u00e7\u00e3o cont\u00ednua. Sem f\u00f3rmula de 1919 nem de 1990. Download gratuito, teste de 7 dias no plano anual.<\/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{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/lean-app.com\/metabolisme-de-base-v2\/#faq\",\"mainEntity\":[{\"@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).\"}},{\"@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. 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Por que Mifflin erra ao ignorar sua atividade.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/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: o efeito t\u00e9rmico dos alimentos segundo seus macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10 % do TDEE em m\u00e9dia, 25 % com alta prote\u00edna. M\u00e9todo de c\u00e1lculo do Lean.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/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=\"https:\/\/lean-app.com\/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 apps 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=\"https:\/\/lean-app.com\/pt\/perdre-du-poids-avec-chatgpt\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Perder peso com ChatGPT funciona? Fizemos a pergunta 291 vezes a 5 IAs <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">291 respostas, 5 IAs, 6 perfis id\u00eanticos: at\u00e9 1 260 kcal de diferen\u00e7a para a mesma pessoa, e nenhum acompanhamento no dia seguinte.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/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 com gordura corporal.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/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;\">Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: seu metabolismo desacelerou? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Coeficiente 100 a 0 %, BMR adaptado em kcal\/dia, e quando fazer um 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 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Metabolismo basal (BMR): defini\u00e7\u00e3o e c\u00e1lculo - Lean<\/title>\n<meta name=\"description\" content=\"O metabolismo basal (BMR) \u00e9 60 a 75 % do teu gasto di\u00e1rio. 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