{"id":1778,"date":"2026-08-16T10:52:33","date_gmt":"2026-08-16T10:52:33","guid":{"rendered":"https:\/\/lean-app.com\/calculateur-adaptation-metabolique\/"},"modified":"2026-09-08T18:18:40","modified_gmt":"2026-09-08T18:18:40","slug":"calculateur-adaptation-metabolique","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/calculateur-adaptation-metabolique\/","title":{"rendered":"Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: me\u00e7a seu BMR real"},"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-tdee{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px;text-align:center}\n#lvm-shell .calc-tdee .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-tdee .val{font-family:var(--font-display);font-size:40px;font-weight:600;letter-spacing:-.025em;margin-top:6px;color:var(--ink);line-height:1}\n#lvm-shell .calc-tdee .val .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-tdee .note{font-size:12px;color:var(--dim);margin-top:6px}\n#lvm-shell .scen-grid{display:grid;grid-template-columns:1fr;gap:10px;margin-top:4px}\n#lvm-shell .scen-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:14px 16px}\n#lvm-shell .scen-card.lent{border-left:4px solid #4CAF50}\n#lvm-shell .scen-card.mod{border-left:4px solid var(--pink)}\n#lvm-shell .scen-card.agg{border-left:4px solid #E84D44}\n#lvm-shell .scen-card .scen-h{display:flex;align-items:baseline;justify-content:space-between;gap:10px}\n#lvm-shell .scen-card .scen-name{font-family:var(--font-display);font-weight:600;font-size:15px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .scen-card .scen-pct{font-family:var(--font-mono);font-size:12px;color:var(--muted);font-weight:600}\n#lvm-shell .scen-card .scen-kcal{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .scen-card.mod .scen-kcal{color:var(--pink)}\n#lvm-shell .scen-card .scen-kcal .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .scen-card .scen-rate{font-size:13px;color:var(--ink-2);margin-top:4px}\n#lvm-shell .scen-card .scen-warn{font-size:12px;color:#B23030;margin-top:6px;line-height:1.4}\n#lvm-shell .calc-delta{margin-top:10px;padding:14px 16px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:14px;color:var(--ink);line-height:1.5}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* 3 scenarios detailed cards *\/\n#lvm-shell .sce-detail{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .sce-detail .sd{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .sce-detail .sd.lent{border-left:4px solid #4CAF50}\n#lvm-shell .sce-detail .sd.mod{border-left:4px solid var(--pink)}\n#lvm-shell .sce-detail .sd.agg{border-left:4px solid #E84D44}\n#lvm-shell .sce-detail .sd .head{display:flex;align-items:baseline;justify-content:space-between;gap:10px;margin-bottom:6px;flex-wrap:wrap}\n#lvm-shell .sce-detail .sd h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .sce-detail .sd .pct{font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--muted)}\n#lvm-shell .sce-detail .sd.lent .pct{color:#4CAF50}\n#lvm-shell .sce-detail .sd.mod .pct{color:var(--pink)}\n#lvm-shell .sce-detail .sd.agg .pct{color:#E84D44}\n#lvm-shell .sce-detail .sd .lab{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin:10px 0 2px}\n#lvm-shell .sce-detail .sd p{margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)}\n\n\/* BodyScan illust (defensive inline-equivalent here) *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\\2212 \"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* Body copy *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n\n\n\/* Adaptation-specific styles, scoped #lvm-shell *\/\n#lvm-shell .coef-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:14px auto 10px;max-width:340px;overflow:hidden}\n#lvm-shell .coef-meter i{display:block;height:100%;width:100%;border-radius:6px;background:linear-gradient(90deg,#E84D44,#FF8C00 40%,#A8D5A0);transition:width .3s ease}\n#lvm-shell .coef-pill{display:inline-block;padding:5px 14px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase;font-family:var(--font-mono);color:#0E0E10}\n#lvm-shell .coef-pill.ok{background:#A8D5A0}\n#lvm-shell .coef-pill.warn{background:#FF8C00;color:#fff}\n#lvm-shell .coef-pill.alert{background:#E84D44;color:#fff}\n#lvm-shell .bmr-duo{display:grid;grid-template-columns:1fr;gap:12px}\n@media(min-width:640px){#lvm-shell .bmr-duo{grid-template-columns:1fr 1fr}}\n#lvm-shell .bd-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:16px 18px;text-align:center}\n#lvm-shell .bd-card.adapt{border-left:4px solid #A8D5A0}\n#lvm-shell .bd-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .bd-card .v{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .bd-card .v .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .bd-card .s{font-size:12px;color:var(--dim);margin-top:6px;line-height:1.45}\n#lvm-shell .bd-card .s b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .reco-card{background:#fff;border:1px solid var(--rule);border-left:4px solid var(--pink);border-radius:12px;padding:18px 20px}\n#lvm-shell .reco-card .rc-title{font-family:var(--font-display);font-weight:600;font-size:16px;color:var(--ink);letter-spacing:-.01em;margin-bottom:6px}\n#lvm-shell .reco-card .rc-body{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .reco-card .rc-disclaimer{margin:12px 0 0;font-size:12px;line-height:1.5;color:var(--dim);border-top:1px solid var(--rule-soft);padding-top:10px}\n#lvm-shell .mvr{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .mvr .mv{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .mvr .mv.myth{border-left:4px solid #E84D44}\n#lvm-shell .mvr .mv.real{border-left:4px solid #4CAF50}\n#lvm-shell .mvr .mv .tag{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;font-family:var(--font-mono);margin-bottom:8px}\n#lvm-shell .mvr .mv.myth .tag{color:#E84D44}\n#lvm-shell .mvr .mv.real .tag{color:#4CAF50}\n#lvm-shell .mvr .mv h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0 0 8px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .mvr .mv p{margin:0 0 10px;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .mvr .mv p:last-child{margin-bottom:0}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1778 #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-1778 #lvm-shell .wrap,\nbody.postid-1778 #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-1778 #lvm-shell .wrap,\n  body.postid-1778 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1778 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1778 #lvm-shell *{max-width:100%}\nbody.postid-1778 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1778 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1778 #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-1778 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1778 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1778 #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-1778 #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-1778 #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-1778 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1778 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1778 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1778 #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-1778 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1778 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1778 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1778 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1778 #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-1778 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1778 #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-1778 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1778 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1778 #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-1778 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1778 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1778 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1778 #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-1778 #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-1778 #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-1778 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1778 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1778 #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-1778 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1778 #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-1778 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1778 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1778 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1778 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1778 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1778 #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-1778 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1778 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1778 #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-1778 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1778 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1778 #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-1778 #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-1778 #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-1778 #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-1778 #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-1778 #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-1778 #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-1778 #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-1778 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1778 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1778 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1778 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1778 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1778 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1778 #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-1778 #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-1778 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1778 #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-1778 #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-1778 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1778 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1778 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1778 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1778 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1778 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1778 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers : images ne doivent pas exploser *\/\n#lvm-shell picture{display:block;max-width:100%}\n#lvm-shell picture img{display:block;max-width:100%;height:auto}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture{display:block;width:100%;height:100%}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture img{width:100%!important;height:100%!important;object-fit:cover!important}\n#lvm-shell .pyramide-illust picture{display:block;width:100%}\n#lvm-shell .pyramide-illust picture img{width:100%!important;height:auto!important;border-radius:18px}<\/style>\n<div id=\"lvm-shell\" class=\"force-show\">\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/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=calc-adaptation\" target=\"_blank\" rel=\"noopener\" aria-label=\"App Store\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-adaptation\" 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; Calculadora de adapta\u00e7\u00e3o metab\u00f3lica<\/div>\n  <div class=\"eyebrow\">Calculadora &middot; Primeira mundial<\/div>\n  <h1 id=\"title\">Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: seu metabolismo desacelerou?\n    <span class=\"alt\">e quanto, em kcal\/dia<\/span>\n  <\/h1>\n  <p class=\"dek\">Depois de semanas de d\u00e9ficit, seu corpo freia. Seu BMR roda abaixo do valor te\u00f3rico: 5 a 25&nbsp;% conforme os estudos. Estime aqui seu coeficiente de adapta\u00e7\u00e3o (conven\u00e7\u00e3o 100&rarr;0&nbsp;%), seu BMR adaptado em kcal\/dia, e o que fazer depois.<\/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 16 de agosto 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=calc-adaptation\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-adaptation\" 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      A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 a raz\u00e3o pela qual sua perda estagna mesmo que seu d\u00e9ficit n\u00e3o tenha mudado. O Lean \u00e9 o primeiro app do mundo a model\u00e1-la continuamente: um coeficiente que modula seu BMR, exibido de 100 rumo a 0&nbsp;%. Esta p\u00e1gina explica a ci\u00eancia, e a calculadora d\u00e1 uma primeira estimativa num\u00e9rica.\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>A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 a queda do seu metabolismo al\u00e9m do que sua perda de peso explica: depois de semanas de d\u00e9ficit, seu BMR roda a 95, 90, \u00e0s vezes 80&nbsp;% do valor te\u00f3rico (faixa publicada: 5 a 25&nbsp;%). Ela se l\u00ea como um <b>coeficiente que modula o BMR<\/b>, conven\u00e7\u00e3o 100&rarr;0&nbsp;%: <b>100&nbsp;% = metabolismo \u00f3timo<\/b>, 90&nbsp;% = BMR freado em 10&nbsp;%. Boa not\u00edcia: \u00e9 <b>revers\u00edvel<\/b> (diet break, refeeds, subida progressiva das calorias). Estime seu coeficiente com a calculadora abaixo.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Calculadora<\/span>Estime seu coeficiente de adapta\u00e7\u00e3o metab\u00f3lica<\/h2>\n<p>Insira seus dados abaixo. A calculadora estima seu coeficiente de adapta\u00e7\u00e3o atual (limitado entre 100 e 75&nbsp;%, como as faixas publicadas), e traduz depois esse coeficiente em kcal\/dia: seu BMR te\u00f3rico frente ao seu BMR adaptado. \u00c9 uma estimativa pedag\u00f3gica baseada na literatura, n\u00e3o uma medi\u00e7\u00e3o: o valor real se mede continuamente, com suas pesagens e sua composi\u00e7\u00e3o corporal reais.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Seus par\u00e2metros<\/h3>\n    <div class=\"calc-row\">\n      <label>Sexo<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Homem<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Mulher<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Idade (anos)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Peso atual (kg)<\/label><input id=\"cWeight\" type=\"number\" min=\"35\" max=\"200\" step=\"0.1\" value=\"78\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeightPrev\">Seu peso 3 a 6 meses atr\u00e1s (kg)<\/label><input id=\"cWeightPrev\" type=\"number\" min=\"35\" max=\"250\" step=\"0.1\" value=\"82\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeeks\">Dura\u00e7\u00e3o do d\u00e9ficit (semanas)<\/label><input id=\"cWeeks\" type=\"number\" min=\"0\" max=\"52\" value=\"12\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cLevel\">D\u00e9ficit m\u00e9dio estimado<\/label>\n      <select id=\"cLevel\">\n        <option value=\"leger\">Leve (cerca de 10&nbsp;% abaixo da manuten\u00e7\u00e3o)<\/option>\n        <option value=\"modere\" selected>Moderado (cerca de 20&nbsp;% abaixo da manuten\u00e7\u00e3o)<\/option>\n        <option value=\"agressif\">Agressivo (25 a 30&nbsp;% abaixo da manuten\u00e7\u00e3o)<\/option>\n      <\/select>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cBf\">Percentual de massa gorda aproximado <span class=\"bf-val\" id=\"bfVal\">18&thinsp;%<\/span><\/label>\n      <div class=\"calc-bf\"><input id=\"cBf\" type=\"range\" min=\"5\" max=\"40\" step=\"1\" value=\"18\"><\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cAct\">N\u00edvel de atividade<\/label>\n      <select id=\"cAct\">\n        <option value=\"1.2\">Sedent\u00e1rio (escrit\u00f3rio, 0 esporte)<\/option>\n        <option value=\"1.375\">Leve (caminhada, 1-2 treinos\/sem)<\/option>\n        <option value=\"1.55\" selected>Moderado (3-4 treinos\/sem)<\/option>\n        <option value=\"1.725\">Intenso (5-6 treinos\/sem)<\/option>\n        <option value=\"1.9\">Muito intenso (atleta)<\/option>\n      <\/select>\n    <\/div>\n    <div class=\"calc-note\">N\u00e3o conhece sua gordura corporal? O Lean calcula a partir de uma foto (BodyScan IA, 5&nbsp;segundos). \u00c9 o dado que torna o BMR confi\u00e1vel.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Seu coeficiente de adapta\u00e7\u00e3o estimado<\/div>\n      <div class=\"val\"><span id=\"rCoef\">0<\/span><span class=\"unit\">%<\/span><\/div>\n      <div class=\"coef-meter\" aria-hidden=\"true\"><i id=\"coefBar\"><\/i><\/div>\n      <span class=\"coef-pill ok\" id=\"coefPill\">Zona saud\u00e1vel<\/span>\n      <div class=\"note\">Conven\u00e7\u00e3o Lean 100&rarr;0&nbsp;%: 100&nbsp;% = metabolismo \u00f3timo, 90&nbsp;% = BMR freado em 10&nbsp;%.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card\">\n        <div class=\"label\">BMR te\u00f3rico<\/div>\n        <div class=\"v\"><span id=\"rBmrTheo\">0<\/span><span class=\"u\">kcal\/dia<\/span><\/div>\n        <div class=\"s\">Sobre sua massa magra, sem adapta\u00e7\u00e3o<\/div>\n      <\/div>\n      <div class=\"bd-card adapt\">\n        <div class=\"label\">BMR adaptado estimado<\/div>\n        <div class=\"v\"><span id=\"rBmrAdapt\">0<\/span><span class=\"u\">kcal\/dia<\/span><\/div>\n        <div class=\"s\">Freada estimada: <b id=\"rDelta\">0<\/b> kcal\/dia a menos<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"calc-delta\">\n      Referido ao seu dia completo (multiplicador de atividade inclu\u00eddo), essa freada representa cerca de <b id=\"rDeltaDay\">0<\/b> kcal\/dia de gasto a menos. Muitas vezes \u00e9 ela que explica um plat\u00f4, n\u00e3o uma falta de disciplina.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Recomenda\u00e7\u00e3o<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">Estimativa pedag\u00f3gica baseada nas faixas publicadas (queda do BMR de 5 a 25&nbsp;% conforme os estudos, Doucet 2001, Rosenbaum &amp; Leibel 2010, Trexler 2014, M\u00fcller 2015). Esta calculadora n\u00e3o \u00e9 uma ferramenta de diagn\u00f3stico e n\u00e3o substitui a orienta\u00e7\u00e3o m\u00e9dica.<\/p>\n    <\/div>\n\n    <div class=\"calc-note\" id=\"gainNote\" style=\"display:none\">Nenhuma perda de peso detectada no per\u00edodo: a estimativa se apoia na dura\u00e7\u00e3o e na intensidade de d\u00e9ficit que voc\u00ea declarou.<\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Esta calculadora d\u00e1 uma foto instant\u00e2nea com uma heur\u00edstica transparente. <b>O modelo propriet\u00e1rio do Lean vai mais longe:<\/b> ele acompanha sua adapta\u00e7\u00e3o metab\u00f3lica semana ap\u00f3s semana, a partir das suas pesagens reais, da sua gordura corporal medida por BodyScan IA e do seu hist\u00f3rico de d\u00e9ficit. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-adaptation\">Ver seu coeficiente real no Lean.<\/a>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; A ci\u00eancia<\/span>O que realmente desacelera quando voc\u00ea come menos<\/h2>\n\n<div class=\"statement\"><p>Seu metabolismo desacelera em d\u00e9ficit. <span class=\"accent\">Mas isso se mede.<\/span><\/p><\/div>\n\n<div class=\"body\">\n<p>O fen\u00f4meno se chama <b>termog\u00eanese adaptativa:<\/b> em d\u00e9ficit prolongado, seu gasto energ\u00e9tico cai <b>al\u00e9m<\/b> do que sua nova composi\u00e7\u00e3o corporal explica. Doucet e sua equipe j\u00e1 mediram isso em 2001: depois de uma perda de peso, o metabolismo de repouso dos sujeitos era nitidamente mais baixo que o valor previsto pela massa magra restante. As revis\u00f5es seguintes (Trexler 2014, M\u00fcller 2015) situam a amplitude entre <b>5 e 25&nbsp;% do BMR<\/b> conforme a dura\u00e7\u00e3o do d\u00e9ficit, sua agressividade e o n\u00edvel de gordura corporal atingido.<\/p>\n<p>Os mecanismos s\u00e3o bem identificados. A <b>leptina<\/b> cai com as reservas de gordura e a ingest\u00e3o cal\u00f3rica: seu c\u00e9rebro recebe um sinal de escassez e reduz o gasto. Os horm\u00f4nios tireoidianos (T3 sobretudo) caem. O sistema nervoso simp\u00e1tico roda em marcha lenta. Seus m\u00fasculos ficam mais eficientes: o mesmo esfor\u00e7o queima menos. E em paralelo, seu <b>NEAT cai inconscientemente:<\/b> voc\u00ea se mexe menos, caminha menos r\u00e1pido, pega o elevador sem pensar. O TEF diminui tamb\u00e9m, mecanicamente, porque voc\u00ea come menos.<\/p>\n<p>Como ler tudo isso corretamente? No Lean, a equa\u00e7\u00e3o do gasto continua sendo <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 o 5\u00ba bloco: um <b>coeficiente que modula o BMR<\/b>, nunca uma parcela que se soma. A conven\u00e7\u00e3o \u00e9 100&rarr;0&nbsp;%: a <b>100&nbsp;%<\/b>, seu BMR \u00e9 \u00f3timo; a <b>90&nbsp;%<\/b>, est\u00e1 freado em 10&nbsp;%; abaixo de <b>85&nbsp;%<\/b>, voc\u00ea est\u00e1 em alerta forte e \u00e9 hora de subir as calorias. O Lean \u00e9 o primeiro app do mundo a calcular esse coeficiente continuamente.<\/p>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative\">\n    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n  <\/div>\n  <div class=\"bodyscan-cap\" style=\"font-size:13px;color:#6E6E73;text-align:center;line-height:1.5\"><b style=\"display:block;color:#0E0E10;font-weight:600;margin-bottom:3px\">Gordura corporal real<\/b>Foto, 5&nbsp;segundos. Sem gordura corporal confi\u00e1vel, \u00e9 imposs\u00edvel distinguir um BMR que cai porque voc\u00ea perde gordura de um BMR freado pela adapta\u00e7\u00e3o.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Um ponto crucial: distinguir as <b>duas quedas<\/b>. Quando voc\u00ea perde peso, seu BMR cai mecanicamente (menos massa para manter): \u00e9 normal e esperado. A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 a queda <b>adicional<\/b>, a que sua composi\u00e7\u00e3o corporal n\u00e3o explica. \u00c9 por isso que o acompanhamento da gordura corporal \u00e9 indispens\u00e1vel: sem ele, voc\u00ea confunde as duas e tira as conclus\u00f5es erradas.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Para a decomposi\u00e7\u00e3o completa do seu gasto, veja a <a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">calculadora TDEE<\/a> e o guia <a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">gasto energ\u00e9tico total<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Tr\u00eas perfis, tr\u00eas coeficientes<\/span>A adapta\u00e7\u00e3o depende da sua trajet\u00f3ria, n\u00e3o de uma regra fixa<\/h2>\n<p>Tr\u00eas homens, tr\u00eas d\u00e9ficits, tr\u00eas coeficientes. Os n\u00fameros abaixo saem da calculadora desta p\u00e1gina: voc\u00ea pode reproduzi-los inserindo os mesmos par\u00e2metros.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>D\u00e9ficit curto e leve<\/h4>\n    <div class=\"meta\">26 anos &middot; 80&rarr;78&nbsp;kg em 6 semanas &middot; d\u00e9ficit leve &middot; 20&nbsp;% de gordura<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>BMR te\u00f3rico<\/span><span class=\"v\">1&thinsp;715 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Coeficiente de adapta\u00e7\u00e3o estimado<\/span><span class=\"v\">&asymp;&nbsp;97&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>BMR adaptado<\/span><span class=\"v\">&asymp;&nbsp;1&thinsp;665 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Freada<\/span><span class=\"v\">&asymp;&nbsp;50 kcal\/dia<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Adapta\u00e7\u00e3o insignificante: o corpo acompanha sem reclamar. <b style=\"color:var(--pink)\">Continue, recalibre a cada pesagem.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Cutting cl\u00e1ssico de 12 semanas<\/h4>\n    <div class=\"meta\">31 anos &middot; 83&rarr;78&nbsp;kg em 12 semanas &middot; d\u00e9ficit moderado &middot; 15&nbsp;% de gordura<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>BMR te\u00f3rico<\/span><span class=\"v\">1&thinsp;785 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Coeficiente de adapta\u00e7\u00e3o estimado<\/span><span class=\"v\">&asymp;&nbsp;90&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>BMR adaptado<\/span><span class=\"v\">&asymp;&nbsp;1&thinsp;610 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Freada<\/span><span class=\"v\">&asymp;&nbsp;180 kcal\/dia<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A freada aparece: o cutting ainda funciona, mas voc\u00ea se aproxima da zona de alerta. <b style=\"color:var(--pink)\">Refeeds pontuais, vigie os passos.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Dieta longa e agressiva<\/h4>\n    <div class=\"meta\">29 anos &middot; 86&rarr;76&nbsp;kg em 24 semanas &middot; d\u00e9ficit agressivo &middot; 12&nbsp;% de gordura<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>BMR te\u00f3rico<\/span><span class=\"v\">1&thinsp;805 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Coeficiente de adapta\u00e7\u00e3o estimado<\/span><span class=\"v\">&asymp;&nbsp;81&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>BMR adaptado<\/span><span class=\"v\">&asymp;&nbsp;1&thinsp;460 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Freada<\/span><span class=\"v\">&asymp;&nbsp;345 kcal\/dia<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Alerta forte: o plat\u00f4 \u00e9 fisiol\u00f3gico, n\u00e3o mental. <b style=\"color:var(--pink)\">Diet break estruturado, depois subida progressiva das calorias.<\/b><\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; A medi\u00e7\u00e3o cont\u00ednua<\/span>Como o Lean acompanha sua adapta\u00e7\u00e3o, semana ap\u00f3s semana<\/h2>\n\n<div class=\"body\">\n<p>Uma calculadora online, mesmo honesta, s\u00f3 pode dar uma foto instant\u00e2nea a partir do que voc\u00ea declara. O valor real da adapta\u00e7\u00e3o metab\u00f3lica se mede no tempo: s\u00e3o necess\u00e1rios seu peso real, sua gordura corporal real, sua atividade real e seu hist\u00f3rico de d\u00e9ficit. \u00c9 exatamente o que o Lean faz:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. Rec\u00e1lculo do BMR a cada pesagem<\/h4>\n    <div class=\"meta\">Modelo propriet\u00e1rio patenteado sobre massa magra<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Seu BMR te\u00f3rico \u00e9 recalculado sobre sua massa magra a cada pesagem. \u00c9 a refer\u00eancia: sem ela, imposs\u00edvel saber o quanto voc\u00ea desvia.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. BodyScan IA recorrente<\/h4>\n    <div class=\"meta\">Foto, 5 segundos, gordura corporal atualizada<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">A gordura corporal medida com regularidade permite separar a queda mec\u00e2nica do BMR (menos massa) da freada adaptativa (mesma massa, menos gasto).<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. Coeficiente de adapta\u00e7\u00e3o cont\u00ednuo<\/h4>\n    <div class=\"meta\">Conven\u00e7\u00e3o 100&rarr;0&nbsp;%, primeiro app do mundo<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">O Lean confronta sua perda real com sua perda esperada e deduz seu coeficiente. 96&nbsp;%: tudo bem. 88&nbsp;%: alerta, o momento de uma volta \u00e0 manuten\u00e7\u00e3o se aproxima.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. Balan\u00e7o cal\u00f3rico live<\/h4>\n    <div class=\"meta\">Alvo kcal do dia que integra o coeficiente<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Seu objetivo cal\u00f3rico do dia \u00e9 calculado sobre seu BMR modulado pelo coeficiente, mais seu NEAT, seu EAT e seu TEF reais. O plat\u00f4 n\u00e3o te surpreende mais: voc\u00ea o v\u00ea chegando.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Essa l\u00f3gica vive na <b>Ficha Cassegrain &middot; 298 escaneamentos<\/b> do Lean: ader\u00eancia &gt; objetivo cal\u00f3rico &gt; passos. A hierarquia que faz um cutting durar sem quebr\u00e1-lo. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-adaptation\">Ver a Pir\u00e2mide no app<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Mito vs realidade<\/span>N\u00e3o, seu metabolismo n\u00e3o est\u00e1 &laquo;quebrado&raquo;<\/h2>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">O mito<\/div>\n    <h4>&laquo;Anos de dietas destru\u00edram meu metabolismo&raquo;<\/h4>\n    <p>A ideia do &laquo;metabolic damage&raquo;: de tanto fazer dietas, o metabolismo estaria danificado de forma permanente, \u00e0s vezes &laquo;dividido por dois&raquo;, e nada mais funcionaria. Ela circula massivamente nas redes, muitas vezes para vender protocolos de &laquo;repara\u00e7\u00e3o metab\u00f3lica&raquo;.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">A realidade medida<\/div>\n    <h4>Uma freada de 5 a 25&nbsp;%, revers\u00edvel<\/h4>\n    <p>Os estudos controlados medem uma adapta\u00e7\u00e3o de 5 a 25&nbsp;% do BMR, nunca um colapso pela metade. Mesmo os sujeitos do Minnesota Starvation Experiment, em semi-fome severa, viram seu metabolismo subir na realimenta\u00e7\u00e3o (M\u00fcller 2015). Trexler 2014 conclui o mesmo em atletas: a adapta\u00e7\u00e3o \u00e9 real, significativa e revers\u00edvel.<\/p>\n    <p>O que parece um metabolismo &laquo;quebrado&raquo; \u00e9 quase sempre a soma de tr\u00eas coisas: um BMR mecanicamente mais baixo (voc\u00ea pesa menos), um coeficiente de adapta\u00e7\u00e3o degradado (revers\u00edvel), e um NEAT desabado sem que voc\u00ea perceba. Os tr\u00eas se corrigem: subida progressiva das calorias, passos di\u00e1rios vigiados, paci\u00eancia.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>A consequ\u00eancia pr\u00e1tica: se seu coeficiente estimado est\u00e1 baixo, a resposta n\u00e3o \u00e9 <b>nunca<\/b> cortar ainda mais as calorias. \u00c9 fazer o coeficiente subir: diet break na manuten\u00e7\u00e3o, refeeds de carboidratos, NEAT reconstru\u00eddo passo a passo. S\u00f3 depois voc\u00ea retoma o d\u00e9ficit, sobre um TDEE recalculado. Um d\u00e9ficit se calcula sempre sobre seu gasto real do momento, n\u00e3o sobre o do primeiro dia.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Para dimensionar a retomada corretamente: a <a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\">calculadora de d\u00e9ficit cal\u00f3rico<\/a> e o <a href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\">c\u00e1lculo do metabolismo basal<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Tudo o que voc\u00ea se pergunta sobre a adapta\u00e7\u00e3o metab\u00f3lica<\/h2>\n<details class=\"faq\"><summary>O que \u00e9 a adapta\u00e7\u00e3o metab\u00f3lica?<\/summary><div class=\"faq-body\"><p>\u00c9 a queda do seu gasto energ\u00e9tico al\u00e9m do que sua perda de peso explica. Quando voc\u00ea emagrece, seu BMR cai mecanicamente (menos massa para manter). A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 a queda adicional: leptina em queda, horm\u00f4nios tireoidianos mais baixos, m\u00fasculos mais eficientes, NEAT reduzido. Os estudos a situam entre 5 e 25 % do BMR conforme a dura\u00e7\u00e3o e a agressividade do d\u00e9ficit.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Como saber se meu metabolismo desacelerou?<\/summary><div class=\"faq-body\"><p>O sinal mais confi\u00e1vel: sua perda real fica nitidamente mais lenta que sua perda esperada, com ingest\u00e3o e atividade constantes. Se voc\u00ea perde 0,2 kg\/semana quando seu d\u00e9ficit te\u00f3rico deveria dar 0,5, parte da diferen\u00e7a vem da adapta\u00e7\u00e3o. A calculadora desta p\u00e1gina d\u00e1 uma estimativa; o Lean a mede continuamente confrontando suas pesagens com sua trajet\u00f3ria esperada.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Meu metabolismo est\u00e1 quebrado depois de anos de dietas?<\/summary><div class=\"faq-body\"><p>N\u00e3o. O &laquo;metabolic damage&raquo; permanente n\u00e3o \u00e9 sustentado pela literatura. Os estudos controlados medem uma freada de 5 a 25 % do BMR, revers\u00edvel ao subir as calorias, inclusive ap\u00f3s restri\u00e7\u00f5es severas (M\u00fcller 2015 sobre os dados do Minnesota Starvation Experiment). O que \u00e0s vezes persiste \u00e9 um NEAT que ficou baixo e ingest\u00f5es subestimadas, n\u00e3o um metabolismo destru\u00eddo.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Quanto tempo dura a adapta\u00e7\u00e3o metab\u00f3lica?<\/summary><div class=\"faq-body\"><p>Ela se instala depois de 2 a 3 semanas de d\u00e9ficit, se refor\u00e7a com a dura\u00e7\u00e3o, e regride quando voc\u00ea sobe as calorias. A recupera\u00e7\u00e3o \u00e9 progressiva: algumas semanas na manuten\u00e7\u00e3o bastam muitas vezes para recuperar o essencial do coeficiente, mas depois de uma dieta muito longa e agressiva, a normaliza\u00e7\u00e3o completa pode levar v\u00e1rios meses. A massa magra conservada e o NEAT reconstru\u00eddo aceleram a volta.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Como relan\u00e7ar um metabolismo desacelerado?<\/summary><div class=\"faq-body\"><p>Na ordem: subir as calorias \u00e0 manuten\u00e7\u00e3o (diet break de 1 a 2 semanas, ou subida progressiva de 100 a 150 kcal por degrau semanal), reconstruir o NEAT (passos di\u00e1rios, objetivo vis\u00edvel), manter as prote\u00ednas altas e o treino de for\u00e7a para proteger a massa magra, dormir de 7 a 9 h. Cortar ainda mais as calorias \u00e9 a pior resposta: o coeficiente continua caindo.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>O que \u00e9 um diet break e quando faz\u00ea-lo?<\/summary><div class=\"faq-body\"><p>Um diet break \u00e9 uma volta volunt\u00e1ria \u00e0 manuten\u00e7\u00e3o (seu TDEE do momento) por 1 a 2 semanas, no meio de uma fase de perda. Ele \u00e9 acionado quando o cutting passa de 8 a 12 semanas, ou quando seu coeficiente de adapta\u00e7\u00e3o entra na zona de alerta (em torno de 85 % na conven\u00e7\u00e3o Lean). Objetivo: fazer subir leptina, T3 e NEAT, e retomar o d\u00e9ficit sobre um TDEE recalculado.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>A reverse diet funciona?<\/summary><div class=\"faq-body\"><p>A subida progressiva das calorias (100 a 150 kcal a mais por semana) \u00e9 uma estrat\u00e9gia razo\u00e1vel para sair de uma dieta longa sem recupera\u00e7\u00e3o brutal de gordura: ela deixa o coeficiente de adapta\u00e7\u00e3o subir enquanto as ingest\u00f5es aumentam. N\u00e3o \u00e9 m\u00e1gica, n\u00e3o &laquo;acelera&raquo; o metabolismo al\u00e9m do valor normal, mas evita o efeito rebote cl\u00e1ssico do fim de cutting.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>A adapta\u00e7\u00e3o metab\u00f3lica \u00e9 mais forte na mulher?<\/summary><div class=\"faq-body\"><p>A fisiologia \u00e9 a mesma, mas as mulheres atingem mais r\u00e1pido os limiares cr\u00edticos: a leptina reage fortemente quando a gordura cai abaixo de cerca de 22 a 25 %, e a resposta hormonal (ciclo, amenorreia hipotal\u00e2mica) pode se somar \u00e0 freada. Na pr\u00e1tica, com d\u00e9ficit igual e gordura baixa, o alerta chega antes. A calculadora desta p\u00e1gina usa um limiar de gordura mais alto para as mulheres por essa raz\u00e3o.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Por que o Lean mostra a adapta\u00e7\u00e3o de 100 rumo a 0 %?<\/summary><div class=\"faq-body\"><p>Porque \u00e9 uma pontua\u00e7\u00e3o de sa\u00fade metab\u00f3lica, n\u00e3o uma penalidade. 100 % = metabolismo \u00f3timo, nenhuma adapta\u00e7\u00e3o. 96 % = zona saud\u00e1vel. 90 % = alerta leve. 85 % e abaixo = alerta forte, o momento de subir as calorias. Ler &laquo;me restam 90 % do meu BMR&raquo; \u00e9 mais claro e motivador que empilhar percentuais de perda. E matematicamente, \u00e9 um coeficiente que modula o BMR no c\u00e1lculo do TDEE, nunca uma parcela que se soma.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Esta calculadora d\u00e1 uma medi\u00e7\u00e3o m\u00e9dica?<\/summary><div class=\"faq-body\"><p>N\u00e3o. \u00c9 uma estimativa pedag\u00f3gica constru\u00edda sobre as faixas publicadas (Doucet 2001, Rosenbaum e Leibel 2010, Trexler 2014, M\u00fcller 2015), a partir do que voc\u00ea declara. A medi\u00e7\u00e3o individual exige um acompanhamento longitudinal: pesagens repetidas, composi\u00e7\u00e3o corporal, ingest\u00f5es reais. \u00c9 o que o Lean faz continuamente. E em todo caso, nem esta p\u00e1gina nem o app substituem a orienta\u00e7\u00e3o m\u00e9dica.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Fontes cient\u00edficas<\/h4>\n  <ol>\n    <li>Doucet E, St-Pierre S, Alm\u00e9ras N, Despr\u00e9s JP, Bouchard C, Tremblay A. Evidence for the existence of adaptive thermogenesis during weight loss. Br J Nutr. 2001 Jun;85(6):715-23. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/a>.<\/li>\n    <li>Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. Int J Obes (Lond). 2010 Oct;34 Suppl 1:S47-55. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20935667\/\" target=\"_blank\" rel=\"noopener\">PubMed 20935667<\/a>.<\/li>\n    <li>Hall KD. What is the required energy deficit per unit weight loss? Int J Obes. 2008 Mar;32(3):573-6. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>.<\/li>\n    <li>Trexler ET, Smith-Ryan AE, Norton LE. Metabolic adaptation to weight loss: implications for the athlete. J Int Soc Sports Nutr. 2014 Feb;11(1):7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24571926\/\" target=\"_blank\" rel=\"noopener\">PubMed 24571926<\/a>.<\/li>\n    <li>M\u00fcller MJ, Enderle J, Pourhassan M, et al. Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. Am J Clin Nutr. 2015 Oct;102(4):807-19. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Sua adapta\u00e7\u00e3o metab\u00f3lica, medida continuamente<\/h3>\n  <p>BodyScan IA, coeficiente 100&rarr;0&nbsp;% atualizado a cada pesagem, balan\u00e7o cal\u00f3rico live. O primeiro app do mundo a calcul\u00e1-la. Download gr\u00e1tis, 7&nbsp;dias de teste 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=calc-adaptation\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" loading=\"lazy\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-adaptation\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n<\/main>\n<\/div>\n\n<script type=\"application\/ld+json\">\n{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebApplication\",\"@id\":\"https:\/\/lean-app.com\/calculateur-adaptation-metabolique\/#calculator\",\"name\":\"Calculateur d'adaptation m\u00e9tabolique\",\"applicationCategory\":\"HealthApplication\",\"operatingSystem\":\"Web\",\"url\":\"https:\/\/lean-app.com\/calculateur-adaptation-metabolique\/\",\"description\":\"Premier calculateur en ligne d\u00e9di\u00e9 \u00e0 l'adaptation m\u00e9tabolique : coefficient multiplicatif sur le BMR (convention 100 \u00e0 0 %), BMR th\u00e9orique vs BMR adapt\u00e9, recommandations p\u00e9dagogiques.\",\"inLanguage\":\"fr-FR\",\"offers\":{\"@type\":\"Offer\",\"price\":\"0\",\"priceCurrency\":\"EUR\"}},{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/lean-app.com\/calculateur-adaptation-metabolique\/#faq\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Qu'est-ce que l'adaptation m\u00e9tabolique ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"C'est la baisse de ta d\u00e9pense \u00e9nerg\u00e9tique au-del\u00e0 de ce que ta perte de poids explique. Quand tu maigris, ton BMR baisse m\u00e9caniquement (moins de masse \u00e0 entretenir). L'adaptation m\u00e9tabolique est la baisse suppl\u00e9mentaire : leptine en chute, hormones thyro\u00efdiennes plus basses, muscles plus efficients, NEAT r\u00e9duit. Les \u00e9tudes la situent entre 5 et 25 % du BMR selon la dur\u00e9e et l'agressivit\u00e9 du d\u00e9ficit.\"}},{\"@type\":\"Question\",\"name\":\"Comment savoir si mon m\u00e9tabolisme a ralenti ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Le signe le plus fiable : ta perte r\u00e9elle devient nettement plus lente que ta perte attendue, \u00e0 apports et activit\u00e9 constants. Si tu perds 0,2 kg\/semaine alors que ton d\u00e9ficit th\u00e9orique devrait en donner 0,5, une partie de l'\u00e9cart vient de l'adaptation. Le calculateur de cette page t'en donne une estimation ; Lean la mesure en continu en confrontant tes pes\u00e9es \u00e0 ta trajectoire attendue.\"}},{\"@type\":\"Question\",\"name\":\"Mon m\u00e9tabolisme est-il cass\u00e9 apr\u00e8s des ann\u00e9es de r\u00e9gime ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Non. Le \\\"metabolic damage\\\" permanent n'est pas soutenu par la litt\u00e9rature. Les \u00e9tudes contr\u00f4l\u00e9es mesurent un freinage de 5 \u00e0 25 % du BMR, r\u00e9versible \u00e0 la remont\u00e9e des calories, y compris apr\u00e8s des restrictions s\u00e9v\u00e8res (M\u00fcller 2015 sur les donn\u00e9es du Minnesota Starvation Experiment). 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La masse maigre conserv\u00e9e et le NEAT reconstruit acc\u00e9l\u00e8rent le retour.\"}},{\"@type\":\"Question\",\"name\":\"Comment relancer un m\u00e9tabolisme ralenti ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Dans l'ordre : remonter les calories \u00e0 maintenance (diet break de 1 \u00e0 2 semaines, ou remont\u00e9e progressive de 100 \u00e0 150 kcal par palier hebdomadaire), reconstruire le NEAT (pas quotidiens, objectif visible), garder les prot\u00e9ines hautes et l'entra\u00eenement en force pour prot\u00e9ger la masse maigre, dormir 7 \u00e0 9 h. Couper encore plus les calories est la pire r\u00e9ponse : le coefficient continue de baisser.\"}},{\"@type\":\"Question\",\"name\":\"Qu'est-ce qu'un diet break et quand le faire ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Un diet break est un retour volontaire \u00e0 maintenance (ton TDEE du moment) pendant 1 \u00e0 2 semaines, au milieu d'une phase de perte. Il se d\u00e9clenche quand la s\u00e8che d\u00e9passe 8 \u00e0 12 semaines, ou quand ton coefficient d'adaptation passe en zone d'alerte (autour de 85 % dans la convention Lean). Objectif : faire remonter leptine, T3 et NEAT, puis reprendre le d\u00e9ficit sur un TDEE recalcul\u00e9.\"}},{\"@type\":\"Question\",\"name\":\"La reverse diet fonctionne-t-elle ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"La remont\u00e9e progressive des calories (100 \u00e0 150 kcal de plus par semaine) est une strat\u00e9gie raisonnable pour sortir d'une longue di\u00e8te sans reprise brutale de gras : elle laisse le coefficient d'adaptation remonter pendant que les apports augmentent. Ce n'est pas magique, \u00e7a ne \\\"booste\\\" pas le m\u00e9tabolisme au-del\u00e0 de sa valeur normale, mais \u00e7a \u00e9vite l'effet rebond classique de fin de s\u00e8che.\"}},{\"@type\":\"Question\",\"name\":\"L'adaptation m\u00e9tabolique est-elle plus forte chez la femme ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"La physiologie est la m\u00eame, mais les femmes atteignent plus vite les seuils critiques : la leptine r\u00e9agit fortement quand le bodyfat descend sous environ 22 \u00e0 25 %, et la r\u00e9ponse hormonale (cycle, am\u00e9norrh\u00e9e hypothalamique) peut s'ajouter au freinage. En pratique, \u00e0 d\u00e9ficit \u00e9gal et bodyfat bas, l'alerte arrive plus t\u00f4t. Le calculateur de cette page utilise un seuil de masse grasse plus \u00e9lev\u00e9 pour les femmes pour cette raison.\"}},{\"@type\":\"Question\",\"name\":\"Pourquoi Lean affiche l'adaptation de 100 vers 0 % ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Parce que c'est un score de sant\u00e9 m\u00e9tabolique, pas un malus. 100 % = m\u00e9tabolisme optimal, aucune adaptation. 96 % = zone saine. 90 % = alerte l\u00e9g\u00e8re. 85 % et en dessous = alerte forte, le moment de remonter les calories. Lire \\\"il me reste 90 % de mon BMR\\\" est plus clair et plus motivant que d'empiler des pourcentages de perte. Et math\u00e9matiquement, c'est un coefficient qui module le BMR dans le calcul du TDEE, jamais un terme qu'on additionne.\"}},{\"@type\":\"Question\",\"name\":\"Ce calculateur donne-t-il une mesure m\u00e9dicale ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Non. 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Garde ton rythme, p\u00e8se-toi r\u00e9guli\u00e8rement et recalcule ta cible \u00e0 chaque pes\u00e9e : c\u2019est tout ce qu\u2019il faut \u00e0 ce stade.\": {\"de\": \"Dein K\u00f6rper folgt ohne sp\u00fcrbares Bremsen. Halte dein Tempo, wiege dich regelm\u00e4\u00dfig und berechne dein Ziel bei jeder W\u00e4gung neu: Mehr braucht es in diesem Stadium nicht.\", \"es\": \"Tu cuerpo sigue sin frenar de forma notable. Mant\u00e9n tu ritmo, p\u00e9sate con regularidad y recalcula tu objetivo en cada pesada: es todo lo que hace falta en esta etapa.\", \"pt\": \"Seu corpo acompanha sem frear de forma not\u00e1vel. Mantenha seu ritmo, pese-se com regularidade e recalcule seu alvo a cada pesagem: \u00e9 tudo o que precisa nesta etapa.\"}, \"Adaptation l\u00e9g\u00e8re : surveille\": {\"de\": \"Leichte Anpassung: Beobachte\", \"es\": \"Adaptaci\u00f3n ligera: vigila\", \"pt\": \"Adapta\u00e7\u00e3o leve: fique atento\"}, \"Le freinage d\u00e9marre, sans gravit\u00e9. Garde les prot\u00e9ines hautes, surveille tes pas quotidiens (le NEAT baisse sans pr\u00e9venir) et place un refeed ponctuel si la faim monte. Recalcule ta cible sur ton poids actuel, pas sur celui du premier jour.\": {\"de\": \"Das Bremsen beginnt, ohne Dramatik. Halte das Protein hoch, beobachte deine t\u00e4glichen Schritte (das NEAT sinkt unbemerkt) und setze einen punktuellen Refeed, wenn der Hunger steigt. Berechne dein Ziel auf deinem aktuellen Gewicht neu, nicht auf dem vom ersten Tag.\", \"es\": \"El frenado empieza, sin gravedad. Mant\u00e9n las prote\u00ednas altas, vigila tus pasos diarios (el NEAT baja sin avisar) y coloca un refeed puntual si el hambre sube. Recalcula tu objetivo sobre tu peso actual, no sobre el del primer d\u00eda.\", \"pt\": \"A freada come\u00e7a, sem gravidade. Mantenha as prote\u00ednas altas, vigie seus passos di\u00e1rios (o NEAT cai sem avisar) e coloque um refeed pontual se a fome subir. Recalcule seu alvo sobre seu peso atual, n\u00e3o sobre o do primeiro dia.\"}, \"Adaptation mod\u00e9r\u00e9e : pense au diet break\": {\"de\": \"Moderate Anpassung: Denk an den Diet Break\", \"es\": \"Adaptaci\u00f3n moderada: piensa en el diet break\", \"pt\": \"Adapta\u00e7\u00e3o moderada: pense no diet break\"}, \"Le freinage p\u00e8se sur ta perte. Envisage un diet break de 1 \u00e0 2 semaines \u00e0 maintenance pour laisser leptine et NEAT remonter, puis reprends le d\u00e9ficit sur un TDEE recalcul\u00e9. Re-mesure aussi ton bodyfat : ta cible doit suivre ta composition r\u00e9elle.\": {\"de\": \"Das Bremsen belastet deinen Verlust. Erw\u00e4ge einen Diet Break von 1 bis 2 Wochen auf Erhaltungsniveau, damit Leptin und NEAT steigen, dann nimm das Defizit auf einem neu berechneten TDEE wieder auf. Miss auch dein K\u00f6rperfett neu: Dein Ziel muss deiner echten Komposition folgen.\", \"es\": \"El frenado pesa sobre tu p\u00e9rdida. Considera un diet break de 1 a 2 semanas a mantenimiento para dejar subir leptina y NEAT, y retoma el d\u00e9ficit sobre un TDEE recalculado. Vuelve a medir tambi\u00e9n tu grasa corporal: tu objetivo debe seguir tu composici\u00f3n real.\", \"pt\": \"A freada pesa na sua perda. Considere um diet break de 1 a 2 semanas na manuten\u00e7\u00e3o para deixar leptina e NEAT subirem, e retome o d\u00e9ficit sobre um TDEE recalculado. Me\u00e7a tamb\u00e9m sua gordura corporal de novo: seu alvo deve seguir sua composi\u00e7\u00e3o real.\"}, \"Adaptation forte : remonte les calories\": {\"de\": \"Starke Anpassung: Erh\u00f6he die Kalorien\", \"es\": \"Adaptaci\u00f3n fuerte: sube las calor\u00edas\", \"pt\": \"Adapta\u00e7\u00e3o forte: suba as calorias\"}, \"\u00c0 ce niveau, couper davantage est contre-productif. Remonte progressivement les calories vers maintenance (100 \u00e0 150 kcal de plus par semaine), reconstruis tes pas quotidiens, garde l\u2019entra\u00eenement en force, et ne reprends un d\u00e9ficit qu\u2019une fois le coefficient remont\u00e9.\": {\"de\": \"Auf diesem Niveau ist weiteres K\u00fcrzen kontraproduktiv. Erh\u00f6he die Kalorien schrittweise Richtung Erhaltung (100 bis 150 kcal mehr pro Woche), baue deine t\u00e4glichen Schritte wieder auf, halte das Krafttraining, und nimm ein Defizit erst wieder auf, wenn der Koeffizient gestiegen ist.\", \"es\": \"En este nivel, recortar m\u00e1s es contraproducente. Sube progresivamente las calor\u00edas hacia mantenimiento (100 a 150 kcal m\u00e1s por semana), reconstruye tus pasos diarios, mant\u00e9n el entrenamiento de fuerza, y no retomes un d\u00e9ficit hasta que el coeficiente haya subido.\", \"pt\": \"Neste n\u00edvel, cortar mais \u00e9 contraproducente. Suba progressivamente as calorias rumo \u00e0 manuten\u00e7\u00e3o (100 a 150 kcal a mais por semana), reconstrua seus passos di\u00e1rios, mantenha o treino de for\u00e7a, e s\u00f3 retome um d\u00e9ficit quando o coeficiente tiver subido.\"}};<\/script>\n<script>\n(function(){\n  \/\/ ============================================================\n  \/\/ Heuristique d'adaptation metabolique : ESTIMATION PEDAGOGIQUE,\n  \/\/ pas une mesure medicale. Sourcee sur les fourchettes publiees\n  \/\/ (baisse du BMR de 5 a 25 % en deficit prolonge) :\n  \/\/ Doucet 2001 (PubMed 11430776), Rosenbaum & Leibel 2010 (20935667),\n  \/\/ Hall 2008 (17848938), Trexler 2014 (24571926), Muller 2015 (26399868).\n  \/\/\n  \/\/   points = wlPts + f * (intensite + leanPts)\n  \/\/     wlPts     = clamp(0.4 x % de poids perdu, 0, 8)\n  \/\/                 (l'adaptation croit avec la perte cumulee)\n  \/\/     f         = clamp((semaines - 2) \/ 10, 0, 1)\n  \/\/                 (s'installe apres 2-3 semaines, sature vers 12)\n  \/\/     intensite = 4 (deficit leger) \/ 8 (modere) \/ 12 (agressif)\n  \/\/     leanPts   = clamp((seuil - bodyfat) x 0.7, 0, 4)\n  \/\/                 seuil 15 (homme) \/ 23 (femme) : leptine basse quand\n  \/\/                 le bodyfat descend, adaptation plus forte\n  \/\/   coefficient = 100 - clamp(points, 0, 25)  ->  borne 75..100 %\n  \/\/   Convention Lean 100 vers 0 % : 100 % = optimal, 90 % = BMR freine de 10 %.\n  \/\/   Le coefficient MODULE le BMR (multiplicatif), il n'est jamais\n  \/\/   additionne dans TDEE = BMR + NEAT + EAT + TEF.\n  \/\/ ============================================================\n  var LEAN_L = (location.pathname.match(\/^\\\/(en|es|pt|de)\\\/\/) || [0,'fr'])[1];\n  var LEAN_LANG = LEAN_L === 'en' ? 'en' : 'fr';\n  function T(fr,en){\n    if (LEAN_L === 'en') return en;\n    if (LEAN_L === 'fr') return fr;\n    var m = window.__LEAN_T && window.__LEAN_T[fr];\n    return (m && m[LEAN_L]) || fr;\n  }\n  function byId(id){ return document.getElementById(id); }\n  function getSex(){\n    var r = document.querySelector('input[name=sex]:checked');\n    return r ? r.value : 'M';\n  }\n  function fmt(n){ return LEAN_LANG==='en' ? Math.round(n).toLocaleString('en-US') : Math.round(n).toLocaleString('fr-FR'); }\n  function clamp(v, lo, hi){ return Math.max(lo, Math.min(hi, v)); }\n  function compute(){\n    var sex = getSex();\n    var age = parseFloat(byId('cAge').value) || 0;\n    var w = parseFloat(byId('cWeight').value) || 0;\n    var wPrev = parseFloat(byId('cWeightPrev').value) || 0;\n    var weeks = parseFloat(byId('cWeeks').value) || 0;\n    var lvl = byId('cLevel').value;\n    var bf = parseFloat(byId('cBf').value) || 0;\n    var act = parseFloat(byId('cAct').value) || 1.55;\n    byId('bfVal').textContent = bf + ' %';\n    if (!age) return;\n    if (!w) return;\n    \/\/ 1) BMR theorique : approche publique sur masse maigre (comme le calc deficit)\n    var ffm = w * (1 - bf\/100);\n    var bmr = 370 + 21.6 * ffm - 2.5 * Math.max(0, age - 25);\n    if (sex === 'F') bmr = bmr - 50;\n    if (bmr < 1000) bmr = 1000;\n    \/\/ 2) points d'adaptation\n    var wlPct = 0;\n    if (wPrev > w) { wlPct = (wPrev - w) \/ wPrev * 100; }\n    var wlPts = clamp(0.4 * wlPct, 0, 8);\n    var f = clamp((weeks - 2) \/ 10, 0, 1);\n    var intMax = 8;\n    if (lvl === 'leger') intMax = 4;\n    if (lvl === 'agressif') intMax = 12;\n    var leanRef = 15;\n    if (sex === 'F') leanRef = 23;\n    var leanPts = clamp((leanRef - bf) * 0.7, 0, 4);\n    var pts = clamp(wlPts + f * (intMax + leanPts), 0, 25);\n    var coef = Math.round(100 - pts);\n    \/\/ 3) sorties\n    var bmrAdapt = bmr * coef \/ 100;\n    var delta = bmr - bmrAdapt;\n    byId('rCoef').textContent = coef;\n    byId('coefBar').style.width = ((coef - 75) \/ 25 * 100) + '%';\n    var pill = byId('coefPill');\n    if (coef >= 90) { pill.className = 'coef-pill ok'; pill.textContent = T('Zone saine','Healthy zone'); }\n    else if (coef >= 85) { pill.className = 'coef-pill warn'; pill.textContent = T('Alerte l\u00e9g\u00e8re','Mild alert'); }\n    else { pill.className = 'coef-pill alert'; pill.textContent = T('Alerte forte','Strong alert'); }\n    byId('rBmrTheo').textContent = fmt(bmr);\n    byId('rBmrAdapt').textContent = fmt(bmrAdapt);\n    byId('rDelta').textContent = fmt(delta);\n    byId('rDeltaDay').textContent = fmt(delta * act);\n    var title = byId('recoTitle');\n    var body = byId('recoBody');\n    if (coef >= 97) {\n      title.textContent = T('Adaptation n\u00e9gligeable : continue','Negligible adaptation: keep going');\n      body.textContent = T('Ton corps suit sans freiner de fa\u00e7on notable. Garde ton rythme, p\u00e8se-toi r\u00e9guli\u00e8rement et recalcule ta cible \u00e0 chaque pes\u00e9e : c\\u2019est tout ce qu\\u2019il faut \u00e0 ce stade.','Your body keeps up without noticeably slowing down. Keep your pace, weigh yourself regularly and recalculate your target at every weigh-in: that is all it takes at this stage.');\n    } else if (coef >= 90) {\n      title.textContent = T('Adaptation l\u00e9g\u00e8re : surveille','Mild adaptation: keep an eye on it');\n      body.textContent = T('Le freinage d\u00e9marre, sans gravit\u00e9. Garde les prot\u00e9ines hautes, surveille tes pas quotidiens (le NEAT baisse sans pr\u00e9venir) et place un refeed ponctuel si la faim monte. Recalcule ta cible sur ton poids actuel, pas sur celui du premier jour.','The slowdown is starting, nothing serious. Keep protein high, watch your daily steps (NEAT drops without warning) and place an occasional refeed if hunger climbs. Recalculate your target on your current weight, not on day one\\u2019s.');\n    } else if (coef >= 85) {\n      title.textContent = T('Adaptation mod\u00e9r\u00e9e : pense au diet break','Moderate adaptation: consider a diet break');\n      body.textContent = T('Le freinage p\u00e8se sur ta perte. Envisage un diet break de 1 \u00e0 2 semaines \u00e0 maintenance pour laisser leptine et NEAT remonter, puis reprends le d\u00e9ficit sur un TDEE recalcul\u00e9. Re-mesure aussi ton bodyfat : ta cible doit suivre ta composition r\u00e9elle.','The slowdown is weighing on your loss. Consider a 1 to 2 week diet break at maintenance to let leptin and NEAT recover, then resume the deficit on a recalculated TDEE. Re-measure your body fat too: your target must follow your actual composition.');\n    } else {\n      title.textContent = T('Adaptation forte : remonte les calories','Strong adaptation: bring calories back up');\n      body.textContent = T('\u00c0 ce niveau, couper davantage est contre-productif. Remonte progressivement les calories vers maintenance (100 \u00e0 150 kcal de plus par semaine), reconstruis tes pas quotidiens, garde l\\u2019entra\u00eenement en force, et ne reprends un d\u00e9ficit qu\\u2019une fois le coefficient remont\u00e9.','At this level, cutting further is counterproductive. Gradually bring calories back up toward maintenance (100 to 150 kcal more per week), rebuild your daily steps, keep strength training, and only resume a deficit once the coefficient has recovered.');\n    }\n    var gn = byId('gainNote');\n    if (wPrev > 0) {\n      if (wPrev <= w) { gn.style.display = 'block'; } else { gn.style.display = 'none'; }\n    } else { gn.style.display = 'none'; }\n  }\n  ['cAge','cWeight','cWeightPrev','cWeeks','cLevel','cBf','cAct'].forEach(function(id){\n    var el = byId(id);\n    if (el) { el.addEventListener('input', compute); el.addEventListener('change', compute); }\n  });\n  document.querySelectorAll('input[name=sex]').forEach(function(el){ el.addEventListener('change', compute); });\n  compute();\n})();\n<\/script>\n\n<script>\n(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n})();\n<\/script>\n\n<!-- lean-mesh-draft -->\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Leia tamb\u00e9m<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora TDEE: a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculadora bodyfat-aware com detalhamento dos 4 blocos metab\u00f3licos.<\/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-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de d\u00e9ficit cal\u00f3rico: a abordagem certa para o cutting <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sobre seu TDEE real bodyfat-aware. 3 ritmos: lento\/moderado\/agressivo.<\/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\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE): a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entenda os 4 blocos + a adapta\u00e7\u00e3o metab\u00f3lica, fontes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/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;\">Metabolismo basal (BMR): tudo o que \u00e9 preciso saber para calcul\u00e1-lo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Defini\u00e7\u00e3o, equa\u00e7\u00e3o TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por que a gordura corporal muda tudo.<\/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\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Como calcular seu gasto cal\u00f3rico real: o guia completo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Accueil Accueil &nbsp;\/&nbsp; Calculateur d&rsquo;adaptation m\u00e9tabolique Calculateur &middot; Premi\u00e8re mondiale Calculateur d&rsquo;adaptation m\u00e9tabolique : ton m\u00e9tabolisme a-t-il ralenti ? et de combien, en kcal\/jour Apr\u00e8s des semaines de d\u00e9ficit, ton corps freine. Ton BMR tourne sous sa valeur th\u00e9orique : 5 \u00e0 25&nbsp;% selon les \u00e9tudes. Estime ici ton coefficient d&rsquo;adaptation (convention 100&rarr;0&nbsp;%), ton [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1780,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1778","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>Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: me\u00e7a seu BMR real<\/title>\n<meta name=\"description\" content=\"Primeira calculadora de adapta\u00e7\u00e3o metab\u00f3lica online: coeficiente sobre seu BMR (conven\u00e7\u00e3o 100 a 0 %), BMR adaptado em kcal\/dia, e quando fazer um diet break.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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