{"id":1954,"date":"2026-08-25T09:07:54","date_gmt":"2026-08-25T09:07:54","guid":{"rendered":"https:\/\/lean-app.com\/calculateur-masse-grasse\/"},"modified":"2026-09-05T10:39:07","modified_gmt":"2026-09-05T10:39:07","slug":"calculateur-masse-grasse","status":"publish","type":"post","link":"https:\/\/lean-app.com\/de\/calculateur-masse-grasse\/","title":{"rendered":"K\u00f6rperfett-Rechner: dein echter K\u00f6rperfettanteil"},"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\/* NEAT-specific styles, scoped #lvm-shell *\/\n#lvm-shell .neat-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:14px auto 10px;max-width:340px;overflow:hidden}\n#lvm-shell .neat-meter i{display:block;height:100%;width:30%;border-radius:6px;background:linear-gradient(90deg,#FFB25E,#FF8C00);transition:width .3s ease}\n#lvm-shell .neat-pill{display:inline-block;padding:5px 14px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase;font-family:var(--font-mono);color:#0E0E10}\n#lvm-shell .neat-pill.ok{background:#A8D5A0}\n#lvm-shell .neat-pill.warn{background:#FF8C00;color:#fff}\n#lvm-shell .neat-pill.alert{background:#E84D44;color:#fff}\n#lvm-shell .bmr-duo{display:grid;grid-template-columns:1fr;gap:12px}\n@media(min-width:640px){#lvm-shell .bmr-duo{grid-template-columns:1fr 1fr}}\n#lvm-shell .bd-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:16px 18px;text-align:center}\n\/* modificateur \"pas\" (PAS \"steps\" : #lvm-shell .steps existe deja dans le shell\n   comme stepper grid 5 colonnes, collision detectee au controle visuel desktop) *\/\n#lvm-shell .bd-card.pas{border-left:4px solid #FF8C00}\n#lvm-shell .bd-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .bd-card .v{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .bd-card .v .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .bd-card .s{font-size:12px;color:var(--dim);margin-top:6px;line-height:1.45}\n#lvm-shell .bd-card .s b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px;margin-top:12px}\n#lvm-shell .share-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin-bottom:6px}\n#lvm-shell .share-card p{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .share-card b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:10px 0 4px;overflow:hidden}\n#lvm-shell .share-meter i{display:block;height:100%;width:20%;border-radius:6px;background:#FF8C00;transition:width .3s ease}\n#lvm-shell .reco-card{background:#fff;border:1px solid var(--rule);border-left:4px solid var(--pink);border-radius:12px;padding:18px 20px}\n#lvm-shell .reco-card .rc-title{font-family:var(--font-display);font-weight:600;font-size:16px;color:var(--ink);letter-spacing:-.01em;margin-bottom:6px}\n#lvm-shell .reco-card .rc-body{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .reco-card .rc-disclaimer{margin:12px 0 0;font-size:12px;line-height:1.5;color:var(--dim);border-top:1px solid var(--rule-soft);padding-top:10px}\n#lvm-shell .mvr{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .mvr .mv{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .mvr .mv.myth{border-left:4px solid #E84D44}\n#lvm-shell .mvr .mv.real{border-left:4px solid #4CAF50}\n#lvm-shell .mvr .mv .tag{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;font-family:var(--font-mono);margin-bottom:8px}\n#lvm-shell .mvr .mv.myth .tag{color:#E84D44}\n#lvm-shell .mvr .mv.real .tag{color:#4CAF50}\n#lvm-shell .mvr .mv h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0 0 8px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .mvr .mv p{margin:0 0 10px;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .mvr .mv p:last-child{margin-bottom:0}\n#lvm-shell .steps-out{font-family:var(--font-mono);font-size:13px;font-weight:700;color:#FF8C00;margin-left:8px}\n\/* keycards chiffrees couleur NEAT *\/\n#lvm-shell .key-grid{display:grid;grid-template-columns:1fr;gap:12px;margin:26px 0}\n@media(min-width:640px){#lvm-shell .key-grid{grid-template-columns:repeat(3,1fr)}}\n#lvm-shell .key-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px}\n#lvm-shell .key-card .kv{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:#FF8C00;line-height:1.1}\n#lvm-shell .key-card .kv span{font-size:13px;font-weight:500;color:var(--muted);margin-left:3px;letter-spacing:0}\n#lvm-shell .key-card .kl{font-size:13px;color:var(--dim);margin-top:6px;line-height:1.5}\n\/* aide bodyfat + popup BodyScan (zero lib externe) *\/\n#lvm-shell .bf-help{display:inline-block;background:none;border:0;padding:0;margin-top:8px;font-size:13px;font-weight:600;color:var(--pink);text-decoration:underline;cursor:pointer;font-family:inherit}\n#lvm-shell .bf-modal{position:fixed;inset:0;z-index:9999;display:none;align-items:center;justify-content:center;padding:18px}\n#lvm-shell .bf-modal.open{display:flex}\n#lvm-shell .bf-modal .bf-ovl{position:absolute;inset:0;background:rgba(14,14,16,.55)}\n#lvm-shell .bf-dialog{position:relative;background:#fff;border-radius:16px;max-width:340px;width:100%;padding:24px 22px 20px;text-align:center;box-shadow:0 24px 60px rgba(0,0,0,.25);max-height:88vh;overflow-y:auto}\n#lvm-shell .bf-dialog .bf-close{position:absolute;top:8px;right:10px;background:none;border:0;font-size:26px;line-height:1;color:#6E6E73;cursor:pointer;padding:6px}\n#lvm-shell .bf-dialog .bf-title{font-family:var(--font-display);font-size:19px;font-weight:600;color:var(--ink);letter-spacing:-.01em;margin:0 0 8px}\n#lvm-shell .bf-dialog .bf-text{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 14px}\n#lvm-shell .bf-dialog .bf-sub{font-size:12px;line-height:1.5;color:var(--dim);margin:14px 0}\n#lvm-shell .bf-dialog .bf-stores{display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap}\n#lvm-shell .bf-dialog .bf-stores img{height:40px;width:auto;display:block}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1954 #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-1954 #lvm-shell .wrap,\nbody.postid-1954 #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-1954 #lvm-shell .wrap,\n  body.postid-1954 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1954 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1954 #lvm-shell *{max-width:100%}\nbody.postid-1954 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1954 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1954 #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-1954 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1954 #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-1954 #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-1954 #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-1954 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1954 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1954 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1954 #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-1954 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1954 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1954 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1954 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1954 #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-1954 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1954 #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-1954 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1954 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1954 #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-1954 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1954 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1954 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1954 #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-1954 #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-1954 #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-1954 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1954 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1954 #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-1954 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1954 #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-1954 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1954 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1954 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1954 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1954 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1954 #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-1954 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1954 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1954 #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-1954 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1954 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1954 #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-1954 #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-1954 #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-1954 #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-1954 #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-1954 #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-1954 #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-1954 #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-1954 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1954 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1954 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1954 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1954 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1954 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1954 #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-1954 #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-1954 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1954 #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-1954 #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-1954 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1954 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1954 #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\/de\/\"><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\/de\/\">Startseite<\/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-masse-grasse\" 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-masse-grasse\" 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\/de\/\">Startseite<\/a> &nbsp;\/&nbsp; K\u00f6rperfett-Rechner<\/div>\n  <div class=\"eyebrow\">Rechner &middot; K\u00f6rperfett &amp; K\u00f6rperkomposition<\/div>\n  <h1 id=\"title\">K\u00f6rperfett-Rechner: dein echter K\u00f6rperfettanteil\n    <span class=\"alt\">ein Ma\u00dfband, vier Messungen: null K\u00e4stchen<\/span>\n  <\/h1>\n  <p class=\"dek\">Dein K\u00f6rperfettanteil ist die Angabe, die 99&nbsp;% der Tracker fehlt: Ohne ihn l\u00e4sst sich weder deine Magermasse noch dein echter Stoffwechsel bestimmen. Dieser Rechner nutzt die Umfangsmethode der US Navy (Hodgdon &amp; Beckett 1984, validiert an zehntausenden Personen): ein Ma\u00dfband, vier Messungen, und du erh\u00e4ltst deinen K\u00f6rperfett-%, deine Magermasse und deinen echten BMR.<\/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>Das Lean-Team<\/strong> &middot; 8&nbsp;Min. Lesezeit &middot; Aktualisiert am 25. August 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-masse-grasse\" 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-masse-grasse\" 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\">Kostenloser Download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Klassische Apps berechnen deinen Stoffwechsel aus Gewicht, Gr\u00f6\u00dfe und Alter, als w\u00fcrden zwei 80-kg-M\u00e4nner bei 10&nbsp;% und 30&nbsp;% K\u00f6rperfett gleich viel verbrennen. Genau das lehnt Lean ab: Dein BMR wird auf deiner Magermasse berechnet, gemessen per KI-BodyScan aus einem einzigen Foto, und laufend aktualisiert. Diese Seite folgt derselben Logik mit dem zug\u00e4nglichsten Werkzeug der Welt: einem Ma\u00dfband.\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>Interaktive Demo<\/small>Tippe auf den Bildschirm und erkunde die App<\/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>Interaktive Demo<\/small>Tippe auf den Bildschirm<br>und erkunde die App<\/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=\"Vorschau der Lean-App mit TDEE-Drilldown\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Zur&uuml;ck\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-Vorschau, Tab Verbrauch\"><\/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=\"BMR-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-Detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Tab Bilanz\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Tab Kalorien\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tab Verbrauch\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Tab Strategie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Durch die Lean-App navigieren\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilanz<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorien<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbrauch<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Schnelle Antwort<\/div>\n    <p>Die US-Navy-Methode sch\u00e4tzt deinen K\u00f6rperfettanteil aus Ma\u00dfband-Umf\u00e4ngen: Hals und Taille beim Mann, Hals, Taille und H\u00fcfte bei der Frau, plus deine Gr\u00f6\u00dfe. Typische Genauigkeit von <b>&plusmn;3 bis 4&nbsp;Punkten<\/b> gegen\u00fcber Referenzmethoden (Friedl 1997), kostenlos und zu Hause wiederholbar. Die \u00fcblichen gesunden Bereiche: etwa <b>10 bis 20&nbsp;%<\/b> f\u00fcr M\u00e4nner, <b>18 bis 28&nbsp;%<\/b> f\u00fcr Frauen, etwas mehr mit dem Alter. Miss deinen Anteil mit dem Rechner unten.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Rechner<\/span>Miss deinen K\u00f6rperfettanteil mit dem Ma\u00dfband<\/h2>\n<p>Nimm ein weiches Ma\u00dfband und drei Messungen (vier f\u00fcr Frauen): Der Rechner wendet die US-Navy-Umfangsformel an (Hodgdon &amp; Beckett 1984) und leitet daraus Fettmasse, Magermasse und deinen BMR auf Magermasse ab (370&nbsp;+&nbsp;21,6&nbsp;&times;&nbsp;FFM, dieselbe Formel wie unser <a href=\"https:\/\/lean-app.com\/de\/calculateur-tdee\/\">TDEE-Rechner<\/a>). Transparente Formel, wiederholbare Messungen: Miss immer zur gleichen Zeit, n\u00fcchtern, Band waagerecht und ohne zu schn\u00fcren.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Deine Messungen<\/h3>\n    <div class=\"calc-row\">\n      <label>Geschlecht<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Mann<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Frau<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Alter (Jahre)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Gewicht (kg)<\/label><input id=\"cWeight\" type=\"number\" min=\"35\" max=\"200\" step=\"0.1\" value=\"75\"><\/div>\n    <div class=\"calc-row\"><label for=\"cHeight\">Gr\u00f6\u00dfe (cm)<\/label><input id=\"cHeight\" type=\"number\" min=\"140\" max=\"220\" value=\"178\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cNeck\">Halsumfang (cm)<\/label><input id=\"cNeck\" type=\"number\" min=\"25\" max=\"60\" step=\"0.5\" value=\"38\">\n      <div class=\"calc-note\">Direkt unter dem Adamsapfel, Band leicht nach vorne geneigt, ohne zu schn\u00fcren.<\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cWaist\">Taillenumfang (cm)<\/label><input id=\"cWaist\" type=\"number\" min=\"55\" max=\"170\" step=\"0.5\" value=\"84\">\n      <div class=\"calc-note\" id=\"waistHint\">M\u00e4nner: auf Bauchnabelh\u00f6he, am Ende einer normalen Ausatmung, Bauch entspannt.<\/div>\n    <\/div>\n    <div class=\"calc-row\" id=\"rowHips\" style=\"display:none\">\n      <label for=\"cHips\">H\u00fcftumfang (cm)<\/label><input id=\"cHips\" type=\"number\" min=\"70\" max=\"170\" step=\"0.5\" value=\"97\">\n      <div class=\"calc-note\">An der breitesten Stelle der H\u00fcfte, F\u00fc\u00dfe zusammen, Band waagerecht.<\/div>\n    <\/div>\n    <button type=\"button\" class=\"bf-help\" id=\"bfHelp\">Kein Ma\u00dfband zur Hand?<\/button>\n    <div class=\"calc-note\" id=\"bfHint\">\u00dcbliche Bereiche f\u00fcr M\u00e4nner: 10 bis 25&nbsp;%. Das Geschlecht \u00e4ndert die Formel (andere Fettverteilung); das Alter hilft bei der Einordnung.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Dein K\u00f6rperfettanteil<\/div>\n      <div class=\"val\"><span id=\"rBf\">0<\/span><span class=\"unit\">%<\/span><\/div>\n      <div class=\"neat-meter\" aria-hidden=\"true\"><i id=\"bfBar\"><\/i><\/div>\n      <span class=\"neat-pill warn\" id=\"bfPill\">Im Durchschnitt<\/span>\n      <div class=\"note\">US-Navy-Umfangsmethode: typische Genauigkeit von &plusmn;3 bis 4&nbsp;Punkten gegen\u00fcber Referenzmethoden (Friedl 1997). Genug, um einen Trend zu verfolgen; f\u00fcr Pr\u00e4zision siehe den BodyScan weiter unten.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card pas\">\n        <div class=\"label\">Fettmasse<\/div>\n        <div class=\"v\"><span id=\"rFatKg\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Dein Gewicht &times; dein gemessener Anteil<\/div>\n      <\/div>\n      <div class=\"bd-card\">\n        <div class=\"label\">Magermasse<\/div>\n        <div class=\"v\"><span id=\"rFfm\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Muskeln, Knochen, Organe, Wasser: das, was Kalorien verbrennt<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"share-card\">\n      <div class=\"label\">Dein BMR auf Magermasse<\/div>\n      <div class=\"share-meter\" aria-hidden=\"true\"><i id=\"shareBar\"><\/i><\/div>\n      <p>Mit <b id=\"rFfm2\">0<\/b> kg Magermasse liegt dein Grundumsatz bei etwa <b id=\"rBmr\">0<\/b> kcal\/Tag (370 + 21,6 &times; Magermasse). Das ist der Wert, den Gewichtsformeln nicht sehen k\u00f6nnen: Sie unterstellen deine K\u00f6rperkomposition, statt sie zu messen.<\/p>\n    <\/div>\n\n    <div class=\"calc-delta\" id=\"deltaLine\">\n      Eine reine Gewichtsrechnung, die dich im Bev\u00f6lkerungsdurchschnitt vermutet (<b id=\"dAvgBf\">20<\/b>&#8239;% K\u00f6rperfett), w\u00fcrde dir <b id=\"dBmrAvg\">0<\/b> kcal\/Tag BMR zuschreiben: also <b id=\"dGap\">0<\/b> kcal\/Tag Abstand zu deiner gemessenen Realit\u00e4t.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Empfehlung<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">P\u00e4dagogische Sch\u00e4tzung auf Basis publizierter Gleichungen (Hodgdon &amp; Beckett 1984; Validierung Friedl 1997). Dieser Rechner ist kein Diagnosewerkzeug und ersetzt keinen \u00e4rztlichen Rat.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Dieser Rechner liefert eine Momentaufnahme mit einer transparenten Formel. <b>Lean geht weiter:<\/b> Der KI-BodyScan misst dein K\u00f6rperfett aus einem einzigen Foto, dein BMR wird darauf laufend neu berechnet, und deine t\u00e4gliche Kalorienbilanz folgt deiner echten K\u00f6rperkomposition, nicht einem Bev\u00f6lkerungsdurchschnitt. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\">Miss dein K\u00f6rperfett mit Lean.<\/a>\n<\/div>\n\n<div class=\"bf-modal\" id=\"bfModal\" role=\"dialog\" aria-modal=\"true\" aria-labelledby=\"bfModalTitle\">\n  <div class=\"bf-ovl\" id=\"bfOvl\"><\/div>\n  <div class=\"bf-dialog\">\n    <button class=\"bf-close\" id=\"bfClose\" type=\"button\" aria-label=\"Schlie\u00dfen\">&times;<\/button>\n    <div class=\"bf-title\" id=\"bfModalTitle\">Kein Ma\u00dfband zur Hand?<\/div>\n    <p class=\"bf-text\">Leans KI-BodyScan misst ihn in 5&nbsp;Sekunden mit einem einfachen Foto: K\u00f6rperfett, Magermasse und Fettmasse, direkt von deinem Handy.<\/p>\n    <div class=\"bodyscan-illust\" style=\"margin:0 auto;max-width:200px\">\n      <div class=\"mini-phone\" style=\"max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative;margin:0 auto\">\n        <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n        <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : bodyfat mesur\u00e9 depuis une photo, masse maigre et masse grasse\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n      <\/div>\n    <\/div>\n    <p class=\"bf-sub\">Das Ma\u00dfband ist eine gute N\u00e4herung; das Foto ist noch einfacher: keine Messungen, keine Platzierungsfehler, und automatisches Trend-Tracking.<\/p>\n    <div class=\"bf-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\"><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\"><\/a>\n    <\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Die Wissenschaft<\/span>Warum dein K\u00f6rperfettanteil deinen ganzen Stoffwechsel ver\u00e4ndert<\/h2>\n\n<div class=\"statement\"><p>Zwei 80-kg-K\u00f6rper k\u00f6nnen in Ruhe 400&nbsp;kcal\/Tag auseinanderliegen. <span class=\"accent\">Der Unterschied ist die Magermasse.<\/span><\/p><\/div>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">400<span>kcal\/Tag<\/span><\/div><div class=\"kl\">BMR-Unterschied zwischen zwei 80-kg-M\u00e4nnern, einer bei 10&nbsp;% K\u00f6rperfett, der andere bei 30&nbsp;%<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&plusmn;3-4<span>Pkt.<\/span><\/div><div class=\"kl\">typische Genauigkeit der Umfangsmethode gegen\u00fcber Referenzmessungen (Friedl 1997)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">21,6<span>kcal<\/span><\/div><div class=\"kl\">in Ruhe verbrannt, pro Kilo Magermasse und Tag, in der angezeigten Formel des Rechners<\/div><\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Dein Grundumsatz ist nicht proportional zu deinem Gewicht: Er ist proportional zu deiner <b>Magermasse<\/b>. Muskeln, Organe, Knochen, Wasser: Das ist das Gewebe, das in Ruhe Energie verbrennt. Die Fettmasse ist dagegen metabolisch fast tr\u00e4ge. Zwei 80-kg-M\u00e4nner, einer bei 10&nbsp;% K\u00f6rperfett (72&nbsp;kg Magermasse), der andere bei 30&nbsp;% (56&nbsp;kg), liegen etwa <b>400&nbsp;kcal\/Tag im BMR auseinander<\/b>. Eine Formel, die nur Gewicht, Gr\u00f6\u00dfe und Alter kennt, zeigt beiden trotzdem dieselbe Zahl: Sie kann es mathematisch nicht besser.<\/p>\n<p>Daher der Sinn, deinen K\u00f6rperfettanteil zu messen. Die Umfangsmethode wurde f\u00fcr die US Navy entwickelt (Hodgdon &amp; Beckett 1984), gerade weil sie in ein Ma\u00dfband passt: Das Verh\u00e4ltnis von Hals, Taille (und H\u00fcfte bei Frauen) zu deiner Gr\u00f6\u00dfe sagt deine K\u00f6rperdichte voraus, also deinen K\u00f6rperfettanteil. Die Validierung von Friedl (1997) an Milit\u00e4rkohorten verortet sie bei <b>&plusmn;3 bis 4&nbsp;Punkten<\/b> der Referenzmethoden: unvollkommen f\u00fcr eine absolute Zahl, sehr solide f\u00fcr einen Trend, kostenlos und wiederholbar.<\/p>\n<p>Sobald dein Anteil bekannt ist, entriegelt sich alles: Magermasse = Gewicht &times; (1&nbsp;&minus;&nbsp;Fett), und BMR = <b>370 + 21,6 &times; Magermasse<\/b>, die Magermasse-Formel aus dem Rechner, dieselbe wie auf unserer <a href=\"https:\/\/lean-app.com\/de\/calcul-metabolisme-de-base\/\">Grundumsatz-Seite<\/a>. Das ist eine v\u00f6llig andere Philosophie als reine Gewichtsformeln: Wir starten bei <i>deiner<\/i> K\u00f6rperkomposition, nicht beim Durchschnitt der Menschen, die dir auf drei Variablen \u00e4hneln.<\/p>\n<p>Wo geh\u00f6rt das in die Gleichung? Bei Lean zerlegt sich der Verbrauch in <b>TDEE = BMR + NEAT + EAT + TEF<\/b>, und der BMR ist der erste Baustein, das Fundament. Ein Fehler von 300 oder 400&nbsp;kcal am Fundament pflanzt sich \u00fcberall fort: falsches Kalorienziel, Phantom-Defizit, unerkl\u00e4rliches Plateau. Die metabolische Adaptation ist der 5. Baustein: ein Koeffizient, der den BMR moduliert (Konvention 100&rarr;0&nbsp;%), nie ein Summand.<\/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 de Lean : pourcentage de masse grasse mesur\u00e9 depuis une photo\" 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\">K\u00f6rperfett, gemessen<\/b>Leans KI-BodyScan: K\u00f6rperfettanteil, Magermasse und Fettmasse aus einem Foto.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Eine letzte ehrliche Anmerkung: Keine zug\u00e4ngliche Methode ist perfekt. Das Band hat seine Toleranz, Impedanzwaagen schwanken mit deinem Wasserhaushalt, und das Referenz-DEXA ist teuer und nichts f\u00fcr jede Woche. Die richtige Strategie ist nicht die perfekte Zahl: Es ist, immer <b>auf dieselbe Weise zu messen<\/b> und auf den Trend zu steuern. Genau das vergleichen die n\u00e4chsten Abschnitte.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  F\u00fcr die komplette Theorie des Grundumsatzes lies die <a href=\"https:\/\/lean-app.com\/de\/metabolisme-de-base\/\">Grundumsatz-Seite<\/a>, und f\u00fcr die Aufschl\u00fcsselung Baustein f\u00fcr Baustein der Guide <a href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">Gesamtenergieverbrauch<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Drei Ma\u00dfband-Profile<\/span>Was vier Messungen zeigen, die deine Waage ignoriert<\/h2>\n<p>Drei Profile, ein Ma\u00dfband, dieselbe Rechnung wie diese Seite. Keine Etiketten: nur Messungen. Die Zahlen kommen aus dem Rechner oben, du kannst sie mit denselben Parametern reproduzieren.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Der falsche Durchschnitt<\/h4>\n    <div class=\"meta\">Frau &middot; 31 &middot; 64&nbsp;kg &middot; 1,66&nbsp;m &middot; Hals 32 &middot; Taille 72 &middot; H\u00fcfte 98<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Gemessene Fettmasse<\/span><span class=\"v\">&asymp;&nbsp;27,2&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Magermasse<\/span><span class=\"v\">&asymp;&nbsp;46,6&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR auf Magermasse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;377 kcal\/Tag<\/span><\/div>\n      <div class=\"rw\"><span>Reine Gewichtsformel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;365 kcal\/Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Sie liegt genau im Bev\u00f6lkerungsdurchschnitt: Die Gewichtsformel trifft fast, 12&nbsp;kcal Abstand. <b style=\"color:var(--pink)\">Der einzige Fall, in dem die N\u00e4herung nichts kostet: Man muss es aber wissen, also messen.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Der untersch\u00e4tzte Athlet<\/h4>\n    <div class=\"meta\">Mann &middot; 29 &middot; 75&nbsp;kg &middot; 1,78&nbsp;m &middot; Hals 38 &middot; Taille 80<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Gemessene Fettmasse<\/span><span class=\"v\">&asymp;&nbsp;12,4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Magermasse<\/span><span class=\"v\">&asymp;&nbsp;65,7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR auf Magermasse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;790 kcal\/Tag<\/span><\/div>\n      <div class=\"rw\"><span>Reine Gewichtsformel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;666 kcal\/Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Muskul\u00f6s verbrennt er <b style=\"color:var(--pink)\">124&nbsp;kcal\/Tag mehr<\/b> , als ihm eine Gewichtsformel zugesteht: Sein theoretisches &bdquo;Halten&ldquo; l\u00e4sst ihn unbemerkt definieren und dann beim Muskelaufbau stagnieren.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Das erkl\u00e4rte Plateau<\/h4>\n    <div class=\"meta\">Mann &middot; 42 &middot; 92&nbsp;kg &middot; 1,80&nbsp;m &middot; Hals 42 &middot; Taille 104<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Gemessene Fettmasse<\/span><span class=\"v\">&asymp;&nbsp;26,4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Magermasse<\/span><span class=\"v\">&asymp;&nbsp;67,7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR auf Magermasse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;833 kcal\/Tag<\/span><\/div>\n      <div class=\"rw\"><span>Reine Gewichtsformel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;960 kcal\/Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Die Gewichtsformel \u00fcbersch\u00e4tzt ihn um <b style=\"color:var(--pink)\">127&nbsp;kcal\/Tag:<\/b> Sein &bdquo;300er-Defizit&ldquo; ist real nur 170. Das unerkl\u00e4rliche Plateau seiner letzten Di\u00e4t stand in dieser Zeile.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Methoden im Vergleich<\/span>Vom Ma\u00dfband zum DEXA: Was jede K\u00f6rperfett-Messung taugt<\/h2>\n\n<div class=\"body\">\n<p>Nicht alle Methoden haben denselben Preis, dieselbe Genauigkeit oder Wiederholbarkeit. Die richtige Wahl h\u00e4ngt davon ab, was du steuerst: eine absolute Zahl einmal im Leben, oder einen Trend jede Woche:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. Ma\u00dfband (US Navy)<\/h4>\n    <div class=\"meta\">Kostenlos &middot; &plusmn;3-4 Punkte &middot; zu Hause<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Die Methode dieser Seite. Ihre St\u00e4rke: endlos wiederholbar, null Ausr\u00fcstung. Ihre Grenze: empfindlich f\u00fcr Bandposition und Tageszeit. Perfekt f\u00fcr den Monatstrend.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. Impedanzwaage<\/h4>\n    <div class=\"meta\">Zug\u00e4nglich &middot; variable Genauigkeit &middot; zu Hause<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Schickt einen Mikrostrom und leitet das Fett aus dem Widerstand ab. Problem: Dein Wasserhaushalt \u00e4ndert das Ergebnis von Tag zu Tag, manchmal um 5 Punkte zwischen morgens und abends (Moon 2008). Trend ja, Zahl nein.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. DEXA \/ hydrostatisches Wiegen<\/h4>\n    <div class=\"meta\">Mit Termin &middot; die Referenz &middot; im Zentrum<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Die Referenzmethoden der Literatur (Siri 1961 f\u00fcr Dichtemodelle). Pr\u00e4zise, aber punktuell und aufwendig: Niemand macht ein w\u00f6chentliches DEXA. N\u00fctzlich, um deine Heimmessung ab und zu zu kalibrieren.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. KI-BodyScan (Lean)<\/h4>\n    <div class=\"meta\">Ein Foto &middot; 5 Sekunden &middot; in der App<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Die KI sch\u00e4tzt deine Komposition aus einem Foto: kein Band zu platzieren, kein Wasserhaushalt, der verf\u00e4lscht, und die Messung speist direkt deinen BMR in der App, laufend neu berechnet. Messen wird ein Reflex, keine Pflicht.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative\">\n    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR de Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre mesur\u00e9e\" 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\">Vom K\u00f6rperfett zum BMR<\/b>In Lean speist deine Messung deinen BMR: die komplette Kette, ohne Neueingabe.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Egal welche Methode, die Regel ist dieselbe: <b>gleiche Bedingungen, gleiche Uhrzeit, und auf den Trend steuern<\/b>. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\">Der BodyScan macht es automatisch<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Mythos vs. Realit\u00e4t<\/span>Der BMI misst deine K\u00f6rperkomposition nicht<\/h2>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">1832<\/div><div class=\"kl\">der Ursprung des BMI: eine Statistiker-Formel (Quetelet) zur Beschreibung von Populationen, nicht von Individuen<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">gleicher<span>BMI<\/span><\/div><div class=\"kl\">ein drahtiger Rugbyspieler und ein Bewegungsmuffel k\u00f6nnen denselben BMI mit 15 Punkten K\u00f6rperfett-Unterschied teilen<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&asymp;&plusmn;4<span>Pkt.<\/span><\/div><div class=\"kl\">der typische Fehler von BMI&rarr;K\u00f6rperfett-Formeln wie Deurenberg (1991): n\u00fctzlich f\u00fcr Populationen, grob f\u00fcr dich<\/div><\/div>\n<\/div>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">Der Mythos<\/div>\n    <h4>&bdquo;Mein BMI ist normal, also stimmt meine Komposition&ldquo;<\/h4>\n    <p>Der BMI (Gewicht \/ Gr\u00f6\u00dfe&sup2;) wurde von einem Statistiker des 19. Jahrhunderts erfunden, um ganze Populationen zu beschreiben. Er sieht weder Muskel noch Fett noch deren Verteilung: Ein muskul\u00f6ser Athlet gilt als &bdquo;\u00fcbergewichtig&ldquo;, ein schlanker Bewegungsmuffel als &bdquo;normal&ldquo; mit hohem K\u00f6rperfett, das ber\u00fchmte &bdquo;skinny fat&ldquo;-Profil. Formeln, die K\u00f6rperfett aus dem BMI ableiten (Deurenberg 1991), erben das Problem: im Mittel korrekt, falsch f\u00fcr Individuen abseits des Durchschnitts, also genau f\u00fcr Sportler.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">Die gemessene Realit\u00e4t<\/div>\n    <h4>Komposition wird gemessen, nicht aus dem Gewicht abgeleitet<\/h4>\n    <p>Das Ma\u00dfband dieser Seite misst dort, wo Fett sichtbar wird: das Verh\u00e4ltnis von Hals, Taille und H\u00fcfte. Das ist der ganze Unterschied: Zwei Menschen mit gleichem BMI bekommen verschiedene Ergebnisse, weil ihre K\u00f6rper verschieden SIND. Friedls Milit\u00e4r-Validierung (1997) dreht sich genau darum: Individuen korrekt einordnen, nicht Populationen.<\/p>\n    <p>Die praktische Konsequenz: Steuere weder eine Di\u00e4t noch einen Muskelaufbau je nach BMI oder Gewicht allein. Das Gewicht vermischt Muskel, Fett, Wasser und Glykogen; das K\u00f6rperfett trennt sie. Es sagt dir, ob deine verlorenen Kilos Fett oder Muskel waren, und deine Magermasse setzt dein echtes Kalorienbudget.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Die praktische Konsequenz: Miss dein K\u00f6rperfett alle 3 bis 4 Wochen unter gleichen Bedingungen, folge dem Trend, und lass deinen BMR bei jeder Messung auf deiner Magermasse neu berechnen. Das ist der Unterschied zwischen einem theoretischen Kalorienziel und einem, das wirklich zu dir passt.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Um deinen BMR in deinen Gesamtverbrauch einzuordnen: der <a href=\"https:\/\/lean-app.com\/de\/calculateur-tdee\/\">TDEE-Rechner<\/a> und der Guide <a href=\"https:\/\/lean-app.com\/de\/calculer-vraie-depense-calorique\/\">deinen echten Kalorienverbrauch berechnen<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Alles, was du dich \u00fcber K\u00f6rperfett fragst<\/h2>\n<details class=\"faq\"><summary>Wie berechnet man seinen K\u00f6rperfettanteil?<\/summary><div class=\"faq-body\"><p>Die zug\u00e4nglichste Methode ist die Umfangsmethode (US Navy): Miss mit einem Ma\u00dfband Hals und Taille (plus H\u00fcfte bei Frauen), gib deine Gr\u00f6\u00dfe ein, und die Formel sch\u00e4tzt deinen K\u00f6rperfettanteil. Das ist der Rechner dieser Seite. Die Alternativen: Impedanzwaage (wasserempfindlich), Hautfaltenmessung (\u00fcbungsabh\u00e4ngig), DEXA (Referenz, im Zentrum) und Leans KI-BodyScan aus einem Foto.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Was ist ein guter K\u00f6rperfettanteil?<\/summary><div class=\"faq-body\"><p>Die \u00fcblichen Bereiche: etwa 10 bis 20&nbsp;% f\u00fcr M\u00e4nner und 18 bis 28&nbsp;% f\u00fcr Frauen in guter Form, etwas mehr mit dem Alter. Unter 6&nbsp;% (M\u00e4nner) bzw. 14&nbsp;% (Frauen) n\u00e4hert man sich dem essenziellen Fett: keine Zone f\u00fcr die Dauer. Merke vor allem: Der Trend z\u00e4hlt mehr als die Zahl.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Ist die US-Navy-Methode zuverl\u00e4ssig?<\/summary><div class=\"faq-body\"><p>Sie wurde an gro\u00dfen Milit\u00e4rkohorten validiert: typische Genauigkeit von &plusmn;3 bis 4 Punkten gegen\u00fcber Referenzmethoden (Friedl 1997), mit m\u00f6glicher Verzerrung an den Extremen. Das reicht, um deine Zone zu bestimmen und einen Monatstrend zu verfolgen, nicht f\u00fcr Vergleiche auf 1 Punkt genau. Miss immer unter gleichen Bedingungen: n\u00fcchtern, Band waagerecht, ohne zu schn\u00fcren.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Warum \u00e4ndert sich mein Anteil auf der Waage von Tag zu Tag?<\/summary><div class=\"faq-body\"><p>Impedanzwaagen leiten deine Komposition aus dem elektrischen Widerstand deines K\u00f6rpers ab, der mit Wasserhaushalt, Mahlzeiten und dem Training vom Vortag schwankt. Von einem Morgen zum n\u00e4chsten kann derselbe K\u00f6rper mehrere Punkte Unterschied zeigen (Moon 2008). Nicht dein Fett hat sich ge\u00e4ndert, sondern dein Wasser. Miss immer zur gleichen Zeit und lies den Wochendurchschnitt.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Was ist der Unterschied zwischen BMI und K\u00f6rperfett?<\/summary><div class=\"faq-body\"><p>Der BMI teilt dein Gewicht durch das Quadrat deiner Gr\u00f6\u00dfe: Er kann ein Kilo Muskel nicht von einem Kilo Fett unterscheiden. Zwei Menschen mit gleichem BMI k\u00f6nnen 15 Punkte K\u00f6rperfett auseinanderliegen. Der K\u00f6rperfettanteil misst die echte Komposition: Er z\u00e4hlt f\u00fcr deinen Stoffwechsel, deine metabolische Gesundheit und dein Aussehen.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Warum \u00e4ndert das K\u00f6rperfett meinen Grundumsatz?<\/summary><div class=\"faq-body\"><p>Weil der Stoffwechsel von der Magermasse getragen wird: Muskeln, Organe, Knochen. Bei 80&nbsp;kg hat ein K\u00f6rper mit 10&nbsp;% Fett 72&nbsp;kg aktives Gewebe; bei 30&nbsp;% nur 56&nbsp;kg. Ergebnis: rund 400&nbsp;kcal\/Tag BMR-Unterschied, unsichtbar f\u00fcr jede reine Gewichtsformel. Genau daf\u00fcr gibt es diese Seite: Fett messen, um die Magermasse zu kennen, also dein echtes Kalorienbudget.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Wie oft sollte man sein K\u00f6rperfett messen?<\/summary><div class=\"faq-body\"><p>Alle 3 bis 4 Wochen reichen mit dem Band: Fett ver\u00e4ndert sich langsam, h\u00e4ufigeres Messen misst vor allem Rauschen. Die Ausnahme: eine automatische, m\u00fchelose Messung wie der BodyScan per Foto, die engeres Trend-Tracking ohne Zahlenfixierung erlaubt. In jedem Fall: gleiche Bedingungen, gleiche Uhrzeit, Entscheidungen auf Basis von 2 bis 3 Messungen.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Kann man Fett verlieren, ohne Muskeln zu verlieren?<\/summary><div class=\"faq-body\"><p>Ja, das ist der ganze Sinn einer gelungenen Di\u00e4t: moderates Defizit, ausreichend Protein und Krafttraining. Der einzige Weg, es zu \u00fcberpr\u00fcfen, ist genau das Tracking deines K\u00f6rperfetts zus\u00e4tzlich zum Gewicht: Sinkt das Gewicht und h\u00e4lt die Magermasse, verlierst du Fett; st\u00fcrzen beide ab, ist dein Defizit zu aggressiv. Das Gewicht allein kann das nicht unterscheiden.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Verwandelt Sport Fett in Muskeln?<\/summary><div class=\"faq-body\"><p>Nein: Das sind zwei verschiedene Gewebe, keins wird je zum anderen. Du kannst aber im selben Zeitraum Fett verlieren und Muskeln aufbauen (Rekomposition), besonders am Anfang. Auf der Waage kann dein Gewicht dann stagnieren, w\u00e4hrend sich dein K\u00f6rper v\u00f6llig ver\u00e4ndert: wieder eine Situation, in der nur das K\u00f6rperfett-Tracking den echten Fortschritt zeigt.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Liefert dieser Rechner eine exakte Messung meines K\u00f6rperfetts?<\/summary><div class=\"faq-body\"><p>Nein. Er wendet eine validierte Gleichung (US Navy) auf deine Umf\u00e4nge an, mit typischer Genauigkeit von &plusmn;3 bis 4 Punkten: eine solide Sch\u00e4tzung zur Einordnung und f\u00fcr deinen Trend, keine Wahrheit auf die Nachkommastelle. Keine zug\u00e4ngliche Methode ist absolut besser; was z\u00e4hlt, sind konstante Messbedingungen. Und wie immer: Weder diese Seite noch die App ersetzen \u00e4rztlichen Rat.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Wissenschaftliche Quellen<\/h4>\n  <ol>\n    <li>Hodgdon JA, Beckett MB. Prediction of percent body fat for U.S. Navy men and women from body circumferences and height. Naval Health Research Center, Reports No. 84-11 &amp; 84-29, 1984.<\/li>\n    <li>Friedl KE, DeLuca JP, Marchitelli LJ, Vogel JA. Validity of percent body fat predicted from circumferences: classification of men for weight control regulations. Mil Med. 1997;162(3):194-200. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/9121667\/\" target=\"_blank\" rel=\"noopener\">PubMed 9121667<\/a>.<\/li>\n    <li>Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991;65(2):105-14. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2043597\/\" target=\"_blank\" rel=\"noopener\">PubMed 2043597<\/a>.<\/li>\n    <li>Moon JR, Tobkin SE, Smith AE, et al. Percent body fat estimations in college men using field and laboratory methods: a three-compartment model approach. Dyn Med. 2008;7:7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18426582\/\" target=\"_blank\" rel=\"noopener\">PubMed 18426582<\/a>.<\/li>\n    <li>Siri WE. Body composition from fluid spaces and density: analysis of methods. In: Techniques for Measuring Body Composition. Washington DC: National Academy of Sciences; 1961:223-244.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Dein K\u00f6rperfett, gemessen mit einem Foto<\/h3>\n  <p>KI-BodyScan aus einem einzigen Foto, BMR laufend auf deiner Magermasse neu berechnet, Kalorienbilanz, die deiner echten Komposition folgt. Die Angabe, die deine Waage ignoriert, endlich gemessen. Kostenloser Download, 7 Tage Testphase im Jahresabo.<\/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-masse-grasse\" 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-masse-grasse\" 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 data-wpmeteor-nooptimize=\"true\" type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Article\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/#article\",\n      \"headline\": \"Calculateur de masse grasse : ton vrai pourcentage de gras au ruban (m\u00e9thode US Navy)\",\n      \"description\": \"Calcule ton pourcentage de masse grasse avec la m\u00e9thode des circonf\u00e9rences de l'US Navy, puis ta masse maigre et ton m\u00e9tabolisme de base r\u00e9el. Des mesures, z\u00e9ro case \u00e0 cocher.\",\n      \"inLanguage\": \"fr-FR\",\n      \"author\": {\n        \"@type\": \"Organization\",\n        \"name\": \"L'\u00e9quipe Lean\",\n        \"url\": \"https:\/\/lean-app.com\/\"\n      },\n      \"publisher\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Lean\",\n        \"url\": \"https:\/\/lean-app.com\/\"\n      },\n      \"datePublished\": \"2026-08-25\",\n      \"dateModified\": \"2026-08-25\",\n      \"mainEntityOfPage\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/\"\n    },\n    {\n      \"@type\": \"WebApplication\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/#calculator\",\n      \"name\": \"Calculateur de masse grasse (m\u00e9thode US Navy)\",\n      \"applicationCategory\": \"HealthApplication\",\n      \"operatingSystem\": \"Web\",\n      \"url\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/\",\n      \"description\": \"Estime ton pourcentage de masse grasse \u00e0 partir de circonf\u00e9rences au m\u00e8tre ruban (cou, taille, hanches), puis ta masse maigre et ton BMR sur masse maigre.\"\n    },\n    {\n      \"@type\": \"BreadcrumbList\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/#breadcrumb\",\n      \"itemListElement\": [\n        {\n          \"@type\": \"ListItem\",\n          \"position\": 1,\n          \"name\": \"Accueil\",\n          \"item\": \"https:\/\/lean-app.com\/\"\n        },\n        {\n          \"@type\": \"ListItem\",\n          \"position\": 2,\n          \"name\": \"Calculateur masse grasse\",\n          \"item\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/\"\n        }\n      ]\n    },\n    {\n      \"@type\": \"FAQPage\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-masse-grasse\/#faq\",\n      \"mainEntity\": [\n        {\n          \"@type\": \"Question\",\n          \"name\": \"Comment calculer son pourcentage de masse grasse ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"La m\u00e9thode la plus accessible est celle des circonf\u00e9rences (US Navy) : avec un m\u00e8tre ruban, mesure ton cou et ta taille (plus les hanches chez la femme), entre ta hauteur, et la formule estime ton pourcentage de gras. 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Le pourcentage de masse grasse mesure la composition r\u00e9elle, celle qui compte pour le m\u00e9tabolisme.\"\n          }\n        },\n        {\n          \"@type\": \"Question\",\n          \"name\": \"Pourquoi le bodyfat change-t-il mon m\u00e9tabolisme de base ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"Le m\u00e9tabolisme est port\u00e9 par la masse maigre. \u00c0 80 kg, un corps \u00e0 10 % de gras a 72 kg de tissu actif ; \u00e0 30 %, 56 kg : environ 400 kcal\/jour d'\u00e9cart de BMR, invisibles pour une formule au poids seul.\"\n          }\n        },\n        {\n          \"@type\": \"Question\",\n          \"name\": \"\u00c0 quelle fr\u00e9quence mesurer sa masse grasse ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"Toutes les 3 \u00e0 4 semaines au ruban, dans les m\u00eames conditions, en pilotant sur la tendance de 2 \u00e0 3 mesures. 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Pars de ta masse maigre mesur\u00e9e, vise un d\u00e9ficit raisonnable, marche davantage, et re-mesure chaque mois. La tendance compte plus que le chiffre du jour.\": {\"de\": \"Gute Nachricht: Auf diesem Niveau ist dein Fortschrittspotenzial am gr\u00f6\u00dften, und dein echter BMR wird von Gewichtsformeln vermutlich \u00fcbersch\u00e4tzt, was viele fr\u00fchere Plateaus erkl\u00e4rt. Starte von deiner gemessenen Magermasse, w\u00e4hle ein vern\u00fcnftiges Defizit, geh mehr und miss monatlich nach. Der Trend z\u00e4hlt mehr als die Tageszahl.\", \"es\": \"Buena noticia: en este nivel, tu potencial de progreso es el m\u00e1s alto, y tu BMR real probablemente est\u00e1 sobreestimado por las f\u00f3rmulas de peso, lo que explica muchas mesetas pasadas. Parte de tu masa magra medida, apunta a un d\u00e9ficit razonable, camina m\u00e1s, y vuelve a medir cada mes. La tendencia importa m\u00e1s que la cifra del d\u00eda.\", \"pt\": \"Boa not\u00edcia: neste n\u00edvel, seu potencial de progresso \u00e9 o mais alto, e seu BMR real provavelmente est\u00e1 superestimado pelas f\u00f3rmulas de peso, o que explica muitos plat\u00f4s passados. Parta da sua massa magra medida, mire um d\u00e9ficit razo\u00e1vel, caminhe mais, e me\u00e7a de novo a cada m\u00eas. A tend\u00eancia importa mais que o n\u00famero do dia.\"}, \"C\u2019est la zone o\u00f9 un d\u00e9ficit mod\u00e9r\u00e9 donne les r\u00e9sultats les plus visibles. Point cl\u00e9 : ton BMR calcul\u00e9 sur ta masse maigre est ta vraie base, pas celle d\u2019une formule au poids. Fixe ton d\u00e9ficit dessus, garde tes prot\u00e9ines hautes, et re-mesure toutes les 3 \u00e0 4 semaines pour voir la masse grasse baisser pendant que la masse maigre tient.\": {\"de\": \"In dieser Zone liefert ein moderates Defizit die sichtbarsten Ergebnisse. Entscheidend: Dein auf Magermasse berechneter BMR ist deine echte Basis, nicht die einer Gewichtsformel. Setze dein Defizit darauf, halte das Protein hoch und miss alle 3 bis 4 Wochen nach, um Fettabbau bei stabiler Magermasse zu sehen.\", \"es\": \"Es la zona donde un d\u00e9ficit moderado da los resultados m\u00e1s visibles. Punto clave: tu BMR calculado sobre tu masa magra es tu base real, no la de una f\u00f3rmula de peso. Fija tu d\u00e9ficit sobre ella, mant\u00e9n las prote\u00ednas altas, y vuelve a medir cada 3 o 4 semanas para ver bajar la grasa mientras la masa magra se mantiene.\", \"pt\": \"\u00c9 a zona onde um d\u00e9ficit moderado d\u00e1 os resultados mais vis\u00edveis. Ponto-chave: seu BMR calculado sobre sua massa magra \u00e9 sua base real, n\u00e3o a de uma f\u00f3rmula de peso. Fixe seu d\u00e9ficit sobre ela, mantenha as prote\u00ednas altas, e me\u00e7a de novo a cada 3 ou 4 semanas para ver a gordura cair enquanto a massa magra se mant\u00e9m.\"}, \"Dans la moyenne\": {\"de\": \"Im Durchschnitt\", \"es\": \"En la media\", \"pt\": \"Na m\u00e9dia\"}, \"Dans la moyenne : le bon moment\": {\"de\": \"Im Durchschnitt: der richtige Moment\", \"es\": \"En la media: el buen momento\", \"pt\": \"Na m\u00e9dia: o bom momento\"}, \"Femme : au point le plus \u00e9troit de la taille, en fin d\u2019expiration normale.\": {\"de\": \"Frauen: an der schmalsten Stelle der Taille, am Ende einer normalen Ausatmung.\", \"es\": \"Mujer: en el punto m\u00e1s estrecho de la cintura, al final de una espiraci\u00f3n normal.\", \"pt\": \"Mulher: no ponto mais estreito da cintura, no fim de uma expira\u00e7\u00e3o normal.\"}, \"Fourchettes usuelles pour un homme : 10 \u00e0 25\u202f%. Le sexe change la formule (r\u00e9partition du gras diff\u00e9rente) ; l\u2019\u00e2ge sert \u00e0 te situer dans les fourchettes.\": {\"de\": \"\u00dcbliche Bereiche f\u00fcr M\u00e4nner: 10 bis 25 %. Das Geschlecht \u00e4ndert die Formel (andere Fettverteilung); das Alter hilft bei der Einordnung.\", \"es\": \"Rangos habituales para un hombre: 10 a 25 %. El sexo cambia la f\u00f3rmula (distinta distribuci\u00f3n de la grasa); la edad sirve para situarte en los rangos.\", \"pt\": \"Faixas habituais para um homem: 10 a 25 %. O sexo muda a f\u00f3rmula (distribui\u00e7\u00e3o de gordura diferente); a idade serve para voc\u00ea se situar nas faixas.\"}, \"Fourchettes usuelles pour une femme : 18 \u00e0 32\u202f%. Le sexe change la formule (r\u00e9partition du gras diff\u00e9rente) ; l\u2019\u00e2ge sert \u00e0 te situer dans les fourchettes.\": {\"de\": \"\u00dcbliche Bereiche f\u00fcr Frauen: 18 bis 32 %. Das Geschlecht \u00e4ndert die Formel (andere Fettverteilung); das Alter hilft bei der Einordnung.\", \"es\": \"Rangos habituales para una mujer: 18 a 32 %. El sexo cambia la f\u00f3rmula (distinta distribuci\u00f3n de la grasa); la edad sirve para situarte en los rangos.\", \"pt\": \"Faixas habituais para uma mulher: 18 a 32 %. O sexo muda a f\u00f3rmula (distribui\u00e7\u00e3o de gordura diferente); a idade serve para voc\u00ea se situar nas faixas.\"}, \"Gras essentiel : tr\u00e8s bas\": {\"de\": \"Essenzielles Fett: sehr niedrig\", \"es\": \"Grasa esencial: muy baja\", \"pt\": \"Gordura essencial: muito baixa\"}, \"Homme : au niveau du nombril, en fin d\u2019expiration normale, ventre rel\u00e2ch\u00e9.\": {\"de\": \"M\u00e4nner: auf Bauchnabelh\u00f6he, am Ende einer normalen Ausatmung, Bauch entspannt.\", \"es\": \"Hombre: a la altura del ombligo, al final de una espiraci\u00f3n normal, abdomen relajado.\", \"pt\": \"Homem: na altura do umbigo, no fim de uma expira\u00e7\u00e3o normal, abd\u00f4men relaxado.\"}, \"Tr\u00e8s bas : vigilance\": {\"de\": \"Sehr niedrig: Vorsicht\", \"es\": \"Muy bajo: vigilancia\", \"pt\": \"Muito baixo: vigil\u00e2ncia\"}, \"Tu es dans la zone forme. Deux options rentables : une recomposition lente (l\u00e9ger d\u00e9ficit + prot\u00e9ines + force) pour gagner du muscle \u00e0 poids stable, ou un maintien propre. Dans les deux cas, suis la tendance de ton bodyfat, pas une pes\u00e9e isol\u00e9e : le poids seul ne distingue pas muscle et gras.\": {\"de\": \"Du bist im Fit-Bereich. Zwei lohnende Optionen: eine langsame Rekomposition (leichtes Defizit + Protein + Krafttraining), um bei stabilem Gewicht Muskeln aufzubauen, oder sauberes Halten. In beiden F\u00e4llen: Verfolge den Trend deines K\u00f6rperfetts, nicht eine einzelne Messung: Das Gewicht allein unterscheidet Muskel nicht von Fett.\", \"es\": \"Est\u00e1s en la zona de buena forma. Dos opciones rentables: una recomposici\u00f3n lenta (d\u00e9ficit ligero + prote\u00ednas + fuerza) para ganar m\u00fasculo a peso estable, o un mantenimiento limpio. En ambos casos, sigue la tendencia de tu grasa corporal, no una pesada aislada: el peso solo no distingue m\u00fasculo y grasa.\", \"pt\": \"Voc\u00ea est\u00e1 na zona de boa forma. Duas op\u00e7\u00f5es rent\u00e1veis: uma recomposi\u00e7\u00e3o lenta (d\u00e9ficit leve + prote\u00ednas + muscula\u00e7\u00e3o) para ganhar m\u00fasculo com peso est\u00e1vel, ou uma manuten\u00e7\u00e3o limpa. Nos dois casos, siga a tend\u00eancia da sua gordura corporal, n\u00e3o uma pesagem isolada: o peso sozinho n\u00e3o distingue m\u00fasculo e gordura.\"}, \"Tu es proche du gras essentiel, le minimum dont ton corps a besoin pour fonctionner (hormones, organes, syst\u00e8me nerveux). Rester durablement \u00e0 ce niveau se paie en \u00e9nergie, en r\u00e9cup\u00e9ration et en sant\u00e9 hormonale. Si tu es en fin de s\u00e8che, planifie la remont\u00e9e ; sinon, fais le point avec un professionnel de sant\u00e9.\": {\"de\": \"Du bist nah am essenziellen Fett, dem Minimum, das dein K\u00f6rper zum Funktionieren braucht (Hormone, Organe, Nervensystem). Dauerhaft auf diesem Niveau zu bleiben kostet Energie, Regeneration und hormonelle Gesundheit. Wenn du am Ende einer Di\u00e4t bist, plane den Aufbau; sonst sprich mit medizinischem Fachpersonal.\", \"es\": \"Est\u00e1s cerca de la grasa esencial, el m\u00ednimo que tu cuerpo necesita para funcionar (hormonas, \u00f3rganos, sistema nervioso). Quedarse mucho tiempo en este nivel se paga en energ\u00eda, recuperaci\u00f3n y salud hormonal. Si est\u00e1s al final de una definici\u00f3n, planifica la subida; si no, consulta con un profesional de la salud.\", \"pt\": \"Voc\u00ea est\u00e1 perto da gordura essencial, o m\u00ednimo de que seu corpo precisa para funcionar (horm\u00f4nios, \u00f3rg\u00e3os, sistema nervoso). Ficar muito tempo neste n\u00edvel se paga em energia, recupera\u00e7\u00e3o e sa\u00fade hormonal. Se voc\u00ea est\u00e1 no fim de um cutting, planeje a subida; sen\u00e3o, converse com um profissional de sa\u00fade.\"}, \"Zone athl\u00e9tique\": {\"de\": \"Athletischer Bereich\", \"es\": \"Zona atl\u00e9tica\", \"pt\": \"Zona atl\u00e9tica\"}, \"Zone athl\u00e9tique : la pr\u00e9cision devient critique\": {\"de\": \"Athletischer Bereich: Pr\u00e4zision wird entscheidend\", \"es\": \"Zona atl\u00e9tica: la precisi\u00f3n se vuelve cr\u00edtica\", \"pt\": \"Zona atl\u00e9tica: a precis\u00e3o se torna cr\u00edtica\"}, \"\u00c0 ce niveau, chaque point de bodyfat p\u00e8se sur ton BMR et tes d\u00e9cisions (s\u00e9cher encore, maintenir, remonter). Le ruban a une marge de 3 \u00e0 4 points : trop pour piloter finement. C\u2019est exactement la zone o\u00f9 mesurer r\u00e9guli\u00e8rement, au m\u00eame moment et dans les m\u00eames conditions, fait la diff\u00e9rence.\": {\"de\": \"Auf diesem Niveau z\u00e4hlt jeder Punkt K\u00f6rperfett f\u00fcr deinen BMR und deine Entscheidungen (weiter definieren, halten, aufbauen). Das Ma\u00dfband hat 3 bis 4 Punkte Toleranz: zu viel f\u00fcr Feinsteuerung. Genau hier macht regelm\u00e4\u00dfiges Messen unter gleichen Bedingungen den Unterschied.\", \"es\": \"En este nivel, cada punto de grasa corporal pesa en tu BMR y en tus decisiones (seguir definiendo, mantener, subir). La cinta tiene un margen de 3 a 4 puntos: demasiado para un pilotaje fino. Es exactamente la zona donde medir con regularidad, en el mismo momento y en las mismas condiciones, marca la diferencia.\", \"pt\": \"Neste n\u00edvel, cada ponto de gordura corporal pesa no seu BMR e nas suas decis\u00f5es (continuar o cutting, manter, subir). A fita tem uma margem de 3 a 4 pontos: demais para um controle fino. \u00c9 exatamente a zona onde medir com regularidade, no mesmo momento e nas mesmas condi\u00e7\u00f5es, faz a diferen\u00e7a.\"}};<\/script>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/\/ ============================================================\n  \/\/ Estimation du bodyfat par circonferences : ESTIMATION PEDAGOGIQUE,\n  \/\/ pas une mesure medicale. Formule transparente, sourcee :\n  \/\/ Hodgdon & Beckett 1984 (US Navy, rapports 84-11 et 84-29),\n  \/\/ Friedl 1997 (PubMed 9121667, validation, +\/-3-4 pts),\n  \/\/ BMR sur masse maigre 370 + 21.6 x FFM (formule affichee du site).\n  \/\/ ============================================================\n  var LEAN_L = (location.pathname.match(\/^\\\/(en|es|pt|de)\\\/\/) || [0,'fr'])[1];\n  var LEAN_LANG = LEAN_L === 'en' ? 'en' : 'fr';\n  function T(fr,en){\n    if (LEAN_L === 'en') return en;\n    if (LEAN_L === 'fr') return fr;\n    var m = window.__LEAN_T && window.__LEAN_T[fr];\n    return (m && m[LEAN_L]) || fr;\n  }\n  function byId(id){ return document.getElementById(id); }\n  function getSex(){\n    var r = document.querySelector('input[name=sex]:checked');\n    return r ? r.value : 'M';\n  }\n  function fmt(n){ return LEAN_LANG==='en' ? Math.round(n).toLocaleString('en-US') : Math.round(n).toLocaleString('fr-FR'); }\n  function fmt3(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:3, maximumFractionDigits:3}); }\n  function fmt1(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:1, maximumFractionDigits:1}); }\n  function clamp(v, lo, hi){ return Math.max(lo, Math.min(hi, v)); }\n  function compute(){\n    var sex = getSex();\n    var age = parseFloat(byId('cAge').value) || 0;\n    var w = parseFloat(byId('cWeight').value) || 0;\n    var h = parseFloat(byId('cHeight').value) || 0;\n    var neck = parseFloat(byId('cNeck').value) || 0;\n    var waist = parseFloat(byId('cWaist').value) || 0;\n    var hips = parseFloat(byId('cHips').value) || 0;\n    byId('rowHips').style.display = (sex === 'F') ? '' : 'none';\n    byId('waistHint').textContent = (sex === 'F')\n      ? 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Sex changes the formula (different fat distribution); age helps you read the ranges.');\n    if (!w || !h || !neck || !waist) return;\n    if (sex === 'F' && !hips) return;\n    var log10 = function(x){ return Math.log(x) \/ Math.LN10; };\n    var bf;\n    if (sex === 'M') {\n      if (waist - neck <= 0) return;\n      bf = 495 \/ (1.0324 - 0.19077 * log10(waist - neck) + 0.15456 * log10(h)) - 450;\n    } else {\n      if (waist + hips - neck <= 0) return;\n      bf = 495 \/ (1.29579 - 0.35004 * log10(waist + hips - neck) + 0.22100 * log10(h)) - 450;\n    }\n    bf = clamp(bf, 3, 60);\n    var fatKg = w * bf \/ 100;\n    var ffm = w - fatKg;\n    var bmr = 370 + 21.6 * ffm;\n    var avgBf = (sex === 'F') ? 28 : 20;\n    var bmrAvg = 370 + 21.6 * (w * (1 - avgBf \/ 100));\n    var gap = Math.abs(bmr - bmrAvg);\n    byId('rBf').textContent = fmt1(bf);\n    byId('bfBar').style.width = clamp(bf \/ 45 * 100, 4, 100) + '%';\n    var pill = byId('bfPill');\n    var cat;\n    if (sex === 'M') {\n      cat = (bf < 6) ? 'ess' : (bf < 14) ? 'ath' : (bf < 18) ? 'fit' : (bf < 25) ? 'moy' : 'ele';\n    } else {\n      cat = (bf < 14) ? 'ess' : (bf < 21) ? 'ath' : (bf < 25) ? 'fit' : (bf < 32) ? 'moy' : 'ele';\n    }\n    if (cat === 'ess') { pill.className = 'neat-pill alert'; pill.textContent = T('Gras essentiel : tr\u00e8s bas','Essential fat: very low'); }\n    else if (cat === 'ath') { pill.className = 'neat-pill ok'; pill.textContent = T('Zone athl\u00e9tique','Athletic range'); }\n    else if (cat === 'fit') { pill.className = 'neat-pill ok'; pill.textContent = T('Bonne forme','Fit range'); }\n    else if (cat === 'moy') { pill.className = 'neat-pill warn'; pill.textContent = T('Dans la moyenne','Average range'); }\n    else { pill.className = 'neat-pill alert'; pill.textContent = T('Au-dessus des fourchettes usuelles','Above the usual ranges'); }\n    byId('rFatKg').textContent = fmt1(fatKg);\n    byId('rFfm').textContent = fmt1(ffm);\n    byId('rFfm2').textContent = fmt1(ffm);\n    byId('rBmr').textContent = fmt(bmr);\n    byId('shareBar').style.width = clamp(ffm \/ w * 100, 4, 100) + '%';\n    byId('dAvgBf').textContent = fmt(avgBf);\n    byId('dBmrAvg').textContent = fmt(bmrAvg);\n    byId('dGap').textContent = fmt(gap);\n    var title = byId('recoTitle');\n    var body = byId('recoBody');\n    if (cat === 'ess') {\n      title.textContent = T('Tr\u00e8s bas : vigilance','Very low: caution');\n      body.textContent = T('Tu es proche du gras essentiel, le minimum dont ton corps a besoin pour fonctionner (hormones, organes, syst\u00e8me nerveux). Rester durablement \u00e0 ce niveau se paie en \u00e9nergie, en r\u00e9cup\u00e9ration et en sant\u00e9 hormonale. Si tu es en fin de s\u00e8che, planifie la remont\u00e9e ; sinon, fais le point avec un professionnel de sant\u00e9.','You are close to essential fat, the minimum your body needs to function (hormones, organs, nervous system). Staying there long term costs energy, recovery and hormonal health. If you are finishing a cut, plan the reverse; otherwise, check in with a health professional.');\n    } else if (cat === 'ath') {\n      title.textContent = T('Zone athl\u00e9tique : la pr\u00e9cision devient critique','Athletic range: precision becomes critical');\n      body.textContent = T('\u00c0 ce niveau, chaque point de bodyfat p\u00e8se sur ton BMR et tes d\u00e9cisions (s\u00e9cher encore, maintenir, remonter). Le ruban a une marge de 3 \u00e0 4 points : trop pour piloter finement. C\\u2019est exactement la zone o\u00f9 mesurer r\u00e9guli\u00e8rement, au m\u00eame moment et dans les m\u00eames conditions, fait la diff\u00e9rence.','At this level, every point of body fat weighs on your BMR and your decisions (keep cutting, maintain, reverse). The tape has a 3 to 4 point margin: too much for fine steering. This is exactly the zone where measuring regularly, at the same time and in the same conditions, makes the difference.');\n    } else if (cat === 'fit') {\n      title.textContent = T('Bonne forme : consolide','Fit range: consolidate');\n      body.textContent = T('Tu es dans la zone forme. Deux options rentables : une recomposition lente (l\u00e9ger d\u00e9ficit + prot\u00e9ines + force) pour gagner du muscle \u00e0 poids stable, ou un maintien propre. Dans les deux cas, suis la tendance de ton bodyfat, pas une pes\u00e9e isol\u00e9e : le poids seul ne distingue pas muscle et gras.','You are in the fit zone. Two profitable options: a slow recomposition (slight deficit + protein + strength work) to gain muscle at a stable weight, or a clean maintenance. Either way, track your body fat trend, not a single weigh-in: weight alone cannot tell muscle from fat.');\n    } else if (cat === 'moy') {\n      title.textContent = T('Dans la moyenne : le bon moment','Average range: the right moment');\n      body.textContent = T('C\\u2019est la zone o\u00f9 un d\u00e9ficit mod\u00e9r\u00e9 donne les r\u00e9sultats les plus visibles. Point cl\u00e9 : ton BMR calcul\u00e9 sur ta masse maigre est ta vraie base, pas celle d\\u2019une formule au poids. Fixe ton d\u00e9ficit dessus, garde tes prot\u00e9ines hautes, et re-mesure toutes les 3 \u00e0 4 semaines pour voir la masse grasse baisser pendant que la masse maigre tient.','This is the zone where a moderate deficit shows the most visible results. Key point: your BMR computed on lean mass is your true base, not a weight-only formula\\u2019s. Set your deficit on it, keep protein high, and re-measure every 3 to 4 weeks to watch fat mass drop while lean mass holds.');\n    } else {\n      title.textContent = T('Au-dessus des fourchettes : commence par mesurer','Above the ranges: start by measuring');\n      body.textContent = T('Bonne nouvelle : \u00e0 ce niveau, ton potentiel de progression est le plus \u00e9lev\u00e9, et ton BMR r\u00e9el est probablement surestim\u00e9 par les formules au poids, ce qui explique bien des plateaux pass\u00e9s. Pars de ta masse maigre mesur\u00e9e, vise un d\u00e9ficit raisonnable, marche davantage, et re-mesure chaque mois. La tendance compte plus que le chiffre du jour.','Good news: at this level your progress potential is highest, and your real BMR is probably overestimated by weight-only formulas, which explains many past plateaus. Start from your measured lean mass, aim for a reasonable deficit, walk more, and re-measure monthly. The trend matters more than today\\u2019s number.');\n    }\n    if (age >= 50) {\n      body.textContent = body.textContent + T(' Apr\u00e8s 50 ans, pr\u00e9server la masse maigre (prot\u00e9ines + renforcement) devient la priorit\u00e9 n\u00b01 : c\\u2019est elle qui soutient ton m\u00e9tabolisme.',' After 50, preserving lean mass (protein + strength work) becomes priority one: it is what sustains your metabolism.');\n    }\n  }\n  ['cAge','cWeight','cHeight','cNeck','cWaist','cHips'].forEach(function(id){\n    var el = byId(id);\n    if (el) { el.addEventListener('input', compute); el.addEventListener('change', compute); }\n  });\n  document.querySelectorAll('input[name=sex]').forEach(function(el){ el.addEventListener('change', compute); });\n  compute();\n  \/\/ ---- popup BodyScan (aide bodyfat), zero lib externe ----\n  var modal = byId('bfModal');\n  function bfOpen(){ modal.classList.add('open'); document.body.style.overflow = 'hidden'; }\n  function bfShut(){ modal.classList.remove('open'); document.body.style.overflow = ''; }\n  if (modal) {\n    byId('bfHelp').addEventListener('click', bfOpen);\n    byId('bfClose').addEventListener('click', bfShut);\n    byId('bfOvl').addEventListener('click', bfShut);\n    document.addEventListener('keydown', function(e){ if (e.key === 'Escape') bfShut(); });\n  }\n})();\n<\/script>\n\n<script data-wpmeteor-nooptimize=\"true\">\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<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;\">\n<p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Auch lesenswert<\/p>\n<ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\">\n<li><a href=\"https:\/\/lean-app.com\/de\/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;\">Grundumsatz-Berechnung: die pr\u00e4ziseste Formel <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Warum dein BMR auf deiner Magermasse berechnet wird, nicht auf deinem Gewicht.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/de\/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;\">Kompletter TDEE-Rechner: BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Dein Verbrauch, Baustein f\u00fcr Baustein, auf deinem echten K\u00f6rperfett.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/de\/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;\">So berechnest du deinen echten Kalorienverbrauch <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Der komplette Guide, vom BMR bis zur metabolischen Anpassung, mit den Fallen des Marktes.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/de\/calculateur-adaptation-metabolique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Rechner f\u00fcr metabolische Adaptation <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hat sich dein BMR verlangsamt, und um wie viel: Koeffizient 100 bis 0&nbsp;%.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/de\/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;\">Gesamtenergieverbrauch: der komplette Guide <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Alles, was deine kcal\/Tag ausmacht, vom BMR bis zum thermischen Effekt der Nahrung.<\/span><\/a><\/li>\n<\/ul>\n<\/aside>","protected":false},"excerpt":{"rendered":"<p>Berechne deinen K\u00f6rperfettanteil mit dem Ma\u00dfband (validierte US-Navy-Methode), dann deine Magermasse und deinen echten BMR. Nur Messungen, null K\u00e4stchen.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1954","post","type-post","status-publish","format-standard","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>K\u00f6rperfett-Rechner: dein genauer Prozentsatz - Lean<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/de\/calculateur-masse-grasse\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"K\u00f6rperfett-Rechner: dein genauer Prozentsatz - Lean\" \/>\n<meta property=\"og:description\" content=\"Berechne deinen K\u00f6rperfettanteil mit dem Ma\u00dfband (validierte US-Navy-Methode), dann deine Magermasse und deinen echten BMR. 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