{"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\/es\/calculateur-adaptation-metabolique\/","title":{"rendered":"Calculadora de adaptaci\u00f3n metab\u00f3lica: mide tu 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\/es\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/es\/\">Inicio<\/a>\n  <div class=\"nav-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-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\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; Calculadora de adaptaci\u00f3n metab\u00f3lica<\/div>\n  <div class=\"eyebrow\">Calculadora &middot; Primicia mundial<\/div>\n  <h1 id=\"title\">Calculadora de adaptaci\u00f3n metab\u00f3lica: \u00bftu metabolismo se ha frenado?\n    <span class=\"alt\">y cu\u00e1nto, en kcal\/d\u00eda<\/span>\n  <\/h1>\n  <p class=\"dek\">Tras semanas de d\u00e9ficit, tu cuerpo frena. Tu BMR funciona por debajo de su valor te\u00f3rico: 5 a 25&nbsp;% seg\u00fan los estudios. Estima aqu\u00ed tu coeficiente de adaptaci\u00f3n (convenci\u00f3n 100&rarr;0&nbsp;%), tu BMR adaptado en kcal\/d\u00eda, y qu\u00e9 hacer despu\u00e9s.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>El equipo Lean<\/strong> &middot; 11&nbsp;min de lectura &middot; Actualizado el 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\">Descarga gratuita<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      La adaptaci\u00f3n metab\u00f3lica es la raz\u00f3n por la que tu p\u00e9rdida se estanca aunque tu d\u00e9ficit no haya cambiado. Lean es la primera app del mundo en modelarla en continuo: un coeficiente que modula tu BMR, mostrado de 100 hacia 0&nbsp;%. Esta p\u00e1gina te explica la ciencia, y la calculadora te da una primera estimaci\u00f3n cifrada.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demostraci\u00f3n interactiva<\/small>Toca la pantalla para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demostraci\u00f3n interactiva<\/small>Toca la pantalla<br>para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vista general de la aplicaci\u00f3n Lean con desglose del TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista Lean, pesta\u00f1a Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar por la aplicaci\u00f3n Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Respuesta r\u00e1pida<\/div>\n    <p>La adaptaci\u00f3n metab\u00f3lica es la bajada de tu metabolismo m\u00e1s all\u00e1 de lo que tu p\u00e9rdida de peso explica: tras semanas de d\u00e9ficit, tu BMR funciona al 95, 90, a veces 80&nbsp;% de su valor te\u00f3rico (rango publicado: 5 a 25&nbsp;%). Se lee como un <b>coeficiente que modula el BMR<\/b>, convenci\u00f3n 100&rarr;0&nbsp;%: <b>100&nbsp;% = metabolismo \u00f3ptimo<\/b>, 90&nbsp;% = BMR frenado un 10&nbsp;%. Buena noticia: es <b>reversible<\/b> (diet break, refeeds, subida progresiva de calor\u00edas). Estima tu coeficiente con la calculadora de abajo.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Calculadora<\/span>Estima tu coeficiente de adaptaci\u00f3n metab\u00f3lica<\/h2>\n<p>Introduce tus datos abajo. La calculadora estima tu coeficiente de adaptaci\u00f3n actual (acotado entre 100 y 75&nbsp;%, como los rangos publicados), y lo traduce despu\u00e9s en kcal\/d\u00eda: tu BMR te\u00f3rico frente a tu BMR adaptado. Es una estimaci\u00f3n pedag\u00f3gica basada en la literatura, no una medida: el valor real se mide en continuo, con tus pesadas y tu composici\u00f3n corporal reales.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Tus par\u00e1metros<\/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>Hombre<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Mujer<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Edad (a\u00f1os)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Peso actual (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\">Tu peso hace 3 a 6 meses (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\">Duraci\u00f3n del 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 medio estimado<\/label>\n      <select id=\"cLevel\">\n        <option value=\"leger\">Ligero (alrededor del 10&nbsp;% bajo mantenimiento)<\/option>\n        <option value=\"modere\" selected>Moderado (alrededor del 20&nbsp;% bajo mantenimiento)<\/option>\n        <option value=\"agressif\">Agresivo (25 a 30&nbsp;% bajo mantenimiento)<\/option>\n      <\/select>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cBf\">Porcentaje de masa grasa 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\">Nivel de actividad<\/label>\n      <select id=\"cAct\">\n        <option value=\"1.2\">Sedentario (oficina, 0 deporte)<\/option>\n        <option value=\"1.375\">Ligero (caminar, 1-2 sesiones\/sem)<\/option>\n        <option value=\"1.55\" selected>Moderado (3-4 sesiones\/sem)<\/option>\n        <option value=\"1.725\">Intenso (5-6 sesiones\/sem)<\/option>\n        <option value=\"1.9\">Muy intenso (atleta)<\/option>\n      <\/select>\n    <\/div>\n    <div class=\"calc-note\">\u00bfNo conoces tu grasa corporal? Lean la calcula desde una foto (BodyScan IA, 5&nbsp;segundos). Es el dato que hace fiable el BMR.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Tu coeficiente de adaptaci\u00f3n 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 sana<\/span>\n      <div class=\"note\">Convenci\u00f3n Lean 100&rarr;0&nbsp;%: 100&nbsp;% = metabolismo \u00f3ptimo, 90&nbsp;% = BMR frenado un 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\/d\u00eda<\/span><\/div>\n        <div class=\"s\">Sobre tu masa magra, sin adaptaci\u00f3n<\/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\/d\u00eda<\/span><\/div>\n        <div class=\"s\">Frenado estimado: <b id=\"rDelta\">0<\/b> kcal\/d\u00eda menos<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"calc-delta\">\n      Referido a tu d\u00eda completo (multiplicador de actividad incluido), este frenado representa unas <b id=\"rDeltaDay\">0<\/b> kcal\/d\u00eda de gasto menos. A menudo es \u00e9l quien explica una meseta, no una falta de disciplina.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Recomendaci\u00f3n<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">Estimaci\u00f3n pedag\u00f3gica basada en los rangos publicados (bajada del BMR del 5 al 25&nbsp;% seg\u00fan los estudios, Doucet 2001, Rosenbaum &amp; Leibel 2010, Trexler 2014, M\u00fcller 2015). Esta calculadora no es una herramienta de diagn\u00f3stico y no sustituye el consejo m\u00e9dico.<\/p>\n    <\/div>\n\n    <div class=\"calc-note\" id=\"gainNote\" style=\"display:none\">Sin p\u00e9rdida de peso detectada en el periodo: la estimaci\u00f3n se apoya en la duraci\u00f3n y la intensidad de d\u00e9ficit que has declarado.<\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Esta calculadora da una foto instant\u00e1nea con una heur\u00edstica transparente. <b>El modelo propietario de Lean va m\u00e1s lejos:<\/b> sigue tu adaptaci\u00f3n metab\u00f3lica semana tras semana, a partir de tus pesadas reales, tu grasa corporal medida por BodyScan IA y tu historial 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 tu coeficiente real en Lean.<\/a>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; La ciencia<\/span>Lo que de verdad se ralentiza cuando comes menos<\/h2>\n\n<div class=\"statement\"><p>Tu metabolismo se ralentiza en d\u00e9ficit. <span class=\"accent\">Pero se puede medir.<\/span><\/p><\/div>\n\n<div class=\"body\">\n<p>El fen\u00f3meno se llama <b>termog\u00e9nesis adaptativa:<\/b> en d\u00e9ficit prolongado, tu gasto energ\u00e9tico baja <b>m\u00e1s all\u00e1<\/b> de lo que tu nueva composici\u00f3n corporal explica. Doucet y su equipo la midieron ya en 2001: tras una p\u00e9rdida de peso, el metabolismo en reposo de los sujetos era claramente m\u00e1s bajo que el valor predicho por su masa magra restante. Las revisiones posteriores (Trexler 2014, M\u00fcller 2015) sit\u00faan la amplitud entre <b>el 5 y el 25&nbsp;% del BMR<\/b> seg\u00fan la duraci\u00f3n del d\u00e9ficit, su agresividad y el nivel de grasa corporal alcanzado.<\/p>\n<p>Los mecanismos est\u00e1n bien identificados. La <b>leptina<\/b> cae con las reservas de grasa y la ingesta cal\u00f3rica: tu cerebro recibe una se\u00f1al de escasez y reduce el gasto. Las hormonas tiroideas (T3 sobre todo) bajan. El sistema nervioso simp\u00e1tico funciona al ralent\u00ed. Tus m\u00fasculos se vuelven m\u00e1s eficientes: el mismo esfuerzo quema menos. Y en paralelo, tu <b>NEAT baja inconscientemente:<\/b> te mueves menos, caminas menos r\u00e1pido, coges el ascensor sin pensarlo. El TEF disminuye tambi\u00e9n, mec\u00e1nicamente, porque comes menos.<\/p>\n<p>\u00bfC\u00f3mo leer todo esto correctamente? En Lean, la ecuaci\u00f3n del gasto sigue siendo <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. La adaptaci\u00f3n metab\u00f3lica es el 5\u00ba bloque: un <b>coeficiente que modula el BMR<\/b>, nunca un t\u00e9rmino que se suma. La convenci\u00f3n es 100&rarr;0&nbsp;%: a <b>100&nbsp;%<\/b>, tu BMR es \u00f3ptimo; a <b>90&nbsp;%<\/b>, est\u00e1 frenado un 10&nbsp;%; bajo <b>85&nbsp;%<\/b>, est\u00e1s en alerta fuerte y es el momento de subir las calor\u00edas. Lean es la primera app del mundo en calcular este coeficiente en continuo.<\/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\">Grasa corporal real<\/b>Foto, 5&nbsp;segundos. Sin grasa corporal fiable, es imposible distinguir un BMR que baja porque pierdes grasa de un BMR frenado por la adaptaci\u00f3n.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Un punto crucial: distinguir las <b>dos bajadas<\/b>. Cuando pierdes peso, tu BMR baja mec\u00e1nicamente (menos masa que mantener): es normal y esperado. La adaptaci\u00f3n metab\u00f3lica es la bajada <b>adicional<\/b>, la que tu composici\u00f3n corporal no explica. Por eso el seguimiento de la grasa corporal es indispensable: sin \u00e9l, confundes las dos y sacas las conclusiones equivocadas.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Para la descomposici\u00f3n completa de tu gasto, mira la <a href=\"https:\/\/lean-app.com\/es\/calculateur-tdee\/\">calculadora TDEE<\/a> y la gu\u00eda <a href=\"https:\/\/lean-app.com\/es\/depense-energetique-totale-v2\/\">gasto energ\u00e9tico total<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Tres perfiles, tres coeficientes<\/span>La adaptaci\u00f3n depende de tu trayectoria, no de una regla fija<\/h2>\n<p>Tres hombres, tres d\u00e9ficits, tres coeficientes. Las cifras de abajo salen de la calculadora de esta p\u00e1gina: puedes reproducirlas introduciendo los mismos par\u00e1metros.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>D\u00e9ficit corto y ligero<\/h4>\n    <div class=\"meta\">26 a\u00f1os &middot; 80&rarr;78&nbsp;kg en 6 semanas &middot; d\u00e9ficit ligero &middot; 20&nbsp;% de grasa<\/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 adaptaci\u00f3n 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>Frenado<\/span><span class=\"v\">&asymp;&nbsp;50 kcal\/d\u00eda<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Adaptaci\u00f3n insignificante: el cuerpo sigue sin rechistar. <b style=\"color:var(--pink)\">Contin\u00faa, recalibra en cada pesada.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Definici\u00f3n cl\u00e1sica de 12 semanas<\/h4>\n    <div class=\"meta\">31 a\u00f1os &middot; 83&rarr;78&nbsp;kg en 12 semanas &middot; d\u00e9ficit moderado &middot; 15&nbsp;% de grasa<\/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 adaptaci\u00f3n 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>Frenado<\/span><span class=\"v\">&asymp;&nbsp;180 kcal\/d\u00eda<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">El frenado se ve: la definici\u00f3n a\u00fan funciona, pero te acercas a la zona de alerta. <b style=\"color:var(--pink)\">Refeeds puntuales, vigila los pasos.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Dieta larga y agresiva<\/h4>\n    <div class=\"meta\">29 a\u00f1os &middot; 86&rarr;76&nbsp;kg en 24 semanas &middot; d\u00e9ficit agresivo &middot; 12&nbsp;% de grasa<\/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 adaptaci\u00f3n 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>Frenado<\/span><span class=\"v\">&asymp;&nbsp;345 kcal\/d\u00eda<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Alerta fuerte: la meseta es fisiol\u00f3gica, no mental. <b style=\"color:var(--pink)\">Diet break estructurado, luego subida progresiva de calor\u00edas.<\/b><\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; La medici\u00f3n en continuo<\/span>C\u00f3mo Lean sigue tu adaptaci\u00f3n, semana tras semana<\/h2>\n\n<div class=\"body\">\n<p>Una calculadora online, incluso honesta, solo puede dar una foto instant\u00e1nea a partir de lo que declaras. El valor real de la adaptaci\u00f3n metab\u00f3lica se mide en el tiempo: hacen falta tu peso real, tu grasa corporal real, tu actividad real y tu historial de d\u00e9ficit. Es exactamente lo que hace Lean:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. Rec\u00e1lculo del BMR en cada pesada<\/h4>\n    <div class=\"meta\">Modelo propietario patentado sobre masa magra<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Tu BMR te\u00f3rico se recalcula sobre tu masa magra en cada pesada. Es la referencia: sin ella, imposible saber cu\u00e1nto te desv\u00edas.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. BodyScan IA recurrente<\/h4>\n    <div class=\"meta\">Foto, 5 segundos, grasa corporal actualizada<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">La grasa corporal medida con regularidad permite separar la bajada mec\u00e1nica del BMR (menos masa) del frenado adaptativo (misma masa, menos gasto).<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. Coeficiente de adaptaci\u00f3n en continuo<\/h4>\n    <div class=\"meta\">Convenci\u00f3n 100&rarr;0&nbsp;%, primera app del mundo<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Lean confronta tu p\u00e9rdida real con tu p\u00e9rdida esperada y deduce tu coeficiente. 96&nbsp;%: todo bien. 88&nbsp;%: alerta, el momento de una vuelta a mantenimiento se acerca.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. Balance cal\u00f3rico live<\/h4>\n    <div class=\"meta\">Objetivo kcal del d\u00eda que integra el coeficiente<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Tu objetivo cal\u00f3rico del d\u00eda se calcula sobre tu BMR modulado por el coeficiente, m\u00e1s tu NEAT, tu EAT y tu TEF reales. La meseta ya no te sorprende: la ves venir.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Esta l\u00f3gica vive en la <b>Pir\u00e1mide de Progresi\u00f3n<\/b> de Lean: adherencia &gt; objetivo cal\u00f3rico &gt; pasos. La jerarqu\u00eda que hace durar una definici\u00f3n sin romperla. <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 la Pir\u00e1mide en la app<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Mito vs realidad<\/span>No, tu metabolismo no est\u00e1 &laquo;roto&raquo;<\/h2>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">El mito<\/div>\n    <h4>&laquo;A\u00f1os de dietas han destruido mi metabolismo&raquo;<\/h4>\n    <p>La idea del &laquo;metabolic damage&raquo;: a fuerza de dietas, el metabolismo estar\u00eda da\u00f1ado de forma permanente, a veces &laquo;dividido por dos&raquo;, y ya nada funcionar\u00eda. Circula masivamente en las redes, a menudo para vender protocolos de &laquo;reparaci\u00f3n metab\u00f3lica&raquo;.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">La realidad medida<\/div>\n    <h4>Un frenado del 5 al 25&nbsp;%, reversible<\/h4>\n    <p>Los estudios controlados miden una adaptaci\u00f3n del 5 al 25&nbsp;% del BMR, nunca un desplome a la mitad. Incluso los sujetos del Minnesota Starvation Experiment, en semi-hambruna severa, vieron su metabolismo subir con la realimentaci\u00f3n (M\u00fcller 2015). Trexler 2014 concluye lo mismo en atletas: la adaptaci\u00f3n es real, significativa y reversible.<\/p>\n    <p>Lo que parece un metabolismo &laquo;roto&raquo; es casi siempre la suma de tres cosas: un BMR mec\u00e1nicamente m\u00e1s bajo (pesas menos), un coeficiente de adaptaci\u00f3n degradado (reversible), y un NEAT desplomado sin que te des cuenta. Los tres se corrigen: subida progresiva de calor\u00edas, pasos diarios vigilados, paciencia.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>La consecuencia pr\u00e1ctica: si tu coeficiente estimado es bajo, la respuesta no es <b>nunca<\/b> recortar a\u00fan m\u00e1s las calor\u00edas. Es hacer subir el coeficiente: diet break a mantenimiento, refeeds de carbohidratos, NEAT reconstruido paso a paso. Solo despu\u00e9s retomas el d\u00e9ficit, sobre un TDEE recalculado. Un d\u00e9ficit se calcula siempre sobre tu gasto real del momento, no sobre el del primer d\u00eda.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Para dimensionar la vuelta correctamente: la <a href=\"https:\/\/lean-app.com\/es\/calculateur-deficit-calorique\/\">calculadora de d\u00e9ficit cal\u00f3rico<\/a> y el <a href=\"https:\/\/lean-app.com\/es\/calcul-metabolisme-de-base\/\">c\u00e1lculo del metabolismo basal<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Todo lo que te preguntas sobre la adaptaci\u00f3n metab\u00f3lica<\/h2>\n<details class=\"faq\"><summary>\u00bfQu\u00e9 es la adaptaci\u00f3n metab\u00f3lica?<\/summary><div class=\"faq-body\"><p>Es la bajada de tu gasto energ\u00e9tico m\u00e1s all\u00e1 de lo que tu p\u00e9rdida de peso explica. Cuando adelgazas, tu BMR baja mec\u00e1nicamente (menos masa que mantener). La adaptaci\u00f3n metab\u00f3lica es la bajada adicional: leptina en ca\u00edda, hormonas tiroideas m\u00e1s bajas, m\u00fasculos m\u00e1s eficientes, NEAT reducido. Los estudios la sit\u00faan entre el 5 y el 25 % del BMR seg\u00fan la duraci\u00f3n y la agresividad del d\u00e9ficit.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfC\u00f3mo saber si mi metabolismo se ha ralentizado?<\/summary><div class=\"faq-body\"><p>La se\u00f1al m\u00e1s fiable: tu p\u00e9rdida real se vuelve claramente m\u00e1s lenta que tu p\u00e9rdida esperada, a ingesta y actividad constantes. Si pierdes 0,2 kg\/semana cuando tu d\u00e9ficit te\u00f3rico deber\u00eda dar 0,5, parte de la diferencia viene de la adaptaci\u00f3n. La calculadora de esta p\u00e1gina te da una estimaci\u00f3n; Lean la mide en continuo confrontando tus pesadas con tu trayectoria esperada.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfMi metabolismo est\u00e1 roto tras a\u00f1os de dietas?<\/summary><div class=\"faq-body\"><p>No. El &laquo;metabolic damage&raquo; permanente no est\u00e1 respaldado por la literatura. Los estudios controlados miden un frenado del 5 al 25 % del BMR, reversible al subir las calor\u00edas, incluso tras restricciones severas (M\u00fcller 2015 sobre los datos del Minnesota Starvation Experiment). Lo que a veces persiste es un NEAT que sigue bajo y unas ingestas subestimadas, no un metabolismo destruido.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfCu\u00e1nto dura la adaptaci\u00f3n metab\u00f3lica?<\/summary><div class=\"faq-body\"><p>Se instala tras 2 a 3 semanas de d\u00e9ficit, se refuerza con la duraci\u00f3n, y retrocede cuando subes las calor\u00edas. La recuperaci\u00f3n es progresiva: unas semanas a mantenimiento bastan a menudo para recuperar lo esencial del coeficiente, pero tras una dieta muy larga y agresiva, la normalizaci\u00f3n completa puede llevar varios meses. La masa magra conservada y el NEAT reconstruido aceleran la vuelta.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfC\u00f3mo relanzar un metabolismo ralentizado?<\/summary><div class=\"faq-body\"><p>En orden: subir las calor\u00edas a mantenimiento (diet break de 1 a 2 semanas, o subida progresiva de 100 a 150 kcal por escal\u00f3n semanal), reconstruir el NEAT (pasos diarios, objetivo visible), mantener las prote\u00ednas altas y el entrenamiento de fuerza para proteger la masa magra, dormir de 7 a 9 h. Recortar a\u00fan m\u00e1s las calor\u00edas es la peor respuesta: el coeficiente sigue bajando.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfQu\u00e9 es un diet break y cu\u00e1ndo hacerlo?<\/summary><div class=\"faq-body\"><p>Un diet break es una vuelta voluntaria a mantenimiento (tu TDEE del momento) durante 1 a 2 semanas, en medio de una fase de p\u00e9rdida. Se activa cuando la definici\u00f3n supera las 8 a 12 semanas, o cuando tu coeficiente de adaptaci\u00f3n entra en zona de alerta (alrededor del 85 % en la convenci\u00f3n Lean). Objetivo: hacer subir leptina, T3 y NEAT, y retomar el d\u00e9ficit sobre un TDEE recalculado.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfFunciona la reverse diet?<\/summary><div class=\"faq-body\"><p>La subida progresiva de calor\u00edas (100 a 150 kcal m\u00e1s por semana) es una estrategia razonable para salir de una dieta larga sin recuperaci\u00f3n brutal de grasa: deja subir el coeficiente de adaptaci\u00f3n mientras las ingestas aumentan. No es magia, no &laquo;acelera&raquo; el metabolismo m\u00e1s all\u00e1 de su valor normal, pero evita el efecto rebote cl\u00e1sico del final de definici\u00f3n.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfLa adaptaci\u00f3n metab\u00f3lica es m\u00e1s fuerte en la mujer?<\/summary><div class=\"faq-body\"><p>La fisiolog\u00eda es la misma, pero las mujeres alcanzan antes los umbrales cr\u00edticos: la leptina reacciona fuertemente cuando la grasa baja de alrededor del 22 al 25 %, y la respuesta hormonal (ciclo, amenorrea hipotal\u00e1mica) puede sumarse al frenado. En la pr\u00e1ctica, a d\u00e9ficit igual y grasa baja, la alerta llega antes. La calculadora de esta p\u00e1gina usa un umbral de grasa m\u00e1s alto para las mujeres por esta raz\u00f3n.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfPor qu\u00e9 Lean muestra la adaptaci\u00f3n de 100 hacia 0 %?<\/summary><div class=\"faq-body\"><p>Porque es una puntuaci\u00f3n de salud metab\u00f3lica, no una penalizaci\u00f3n. 100 % = metabolismo \u00f3ptimo, ninguna adaptaci\u00f3n. 96 % = zona sana. 90 % = alerta ligera. 85 % y por debajo = alerta fuerte, el momento de subir las calor\u00edas. Leer &laquo;me queda el 90 % de mi BMR&raquo; es m\u00e1s claro y motivador que apilar porcentajes de p\u00e9rdida. Y matem\u00e1ticamente, es un coeficiente que modula el BMR en el c\u00e1lculo del TDEE, nunca un t\u00e9rmino que se suma.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>\u00bfEsta calculadora da una medida m\u00e9dica?<\/summary><div class=\"faq-body\"><p>No. Es una estimaci\u00f3n pedag\u00f3gica construida sobre los rangos publicados (Doucet 2001, Rosenbaum y Leibel 2010, Trexler 2014, M\u00fcller 2015), a partir de lo que declaras. La medici\u00f3n individual requiere un seguimiento longitudinal: pesadas repetidas, composici\u00f3n corporal, ingestas reales. Es lo que hace Lean en continuo. Y en cualquier caso, ni esta p\u00e1gina ni la app sustituyen el consejo m\u00e9dico.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Fuentes 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>Tu adaptaci\u00f3n metab\u00f3lica, medida en continuo<\/h3>\n  <p>BodyScan IA, coeficiente 100&rarr;0&nbsp;% actualizado en cada pesada, balance cal\u00f3rico live. La primera app del mundo en calcularla. Descarga gratis, 7&nbsp;d\u00edas de prueba en el plan 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. 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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' ? 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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;\">Lecturas relacionadas<\/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\/es\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora TDEE: la f\u00f3rmula can\u00f3nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculadora bodyfat-aware con desglose de los 4 bloques metab\u00f3licos.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">C\u00e1lculo del metabolismo basal: la f\u00f3rmula m\u00e1s 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 con grasa corporal.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de d\u00e9ficit cal\u00f3rico: el enfoque correcto para una definici\u00f3n <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sobre tu TDEE real bodyfat-aware. 3 ritmos: lento\/moderado\/agresivo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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;\">\u00bfPerder peso con ChatGPT funciona? Le hicimos la pregunta 291 veces a 5 IA <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">291 respuestas, 5 IA, 6 perfiles id\u00e9nticos: hasta 1 260 kcal de diferencia para la misma persona, y ning\u00fan seguimiento al d\u00eda siguiente.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE): la f\u00f3rmula can\u00f3nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entiende los 4 bloques + la adaptaci\u00f3n metab\u00f3lica, fuentes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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): todo lo que hay que saber para calcularlo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definici\u00f3n, ecuaci\u00f3n TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por qu\u00e9 la grasa corporal lo cambia todo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Mejores aplicaciones para contar calor\u00edas en 2026: 8 apps probadas <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">C\u00f3mo calcular tu gasto cal\u00f3rico real: la gu\u00eda completa <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sobre grasa corporal real, NEAT por pasos, EAT por sesi\u00f3n, TEF por macros, adaptaci\u00f3n.<\/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 adaptaci\u00f3n metab\u00f3lica: mide tu BMR real<\/title>\n<meta name=\"description\" content=\"Primera calculadora de adaptaci\u00f3n metab\u00f3lica online: coeficiente sobre tu BMR (convenci\u00f3n 100 a 0 %), BMR adaptado en kcal\/d\u00eda, y cu\u00e1ndo hacer un diet break.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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