{"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\/da\/calculateur-masse-grasse\/","title":{"rendered":"Fedtprocentberegner: din reelle fedtprocent"},"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\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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.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\/da\/\"><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\/da\/\">Hjem<\/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\/da\/\">Hjem<\/a> &nbsp;\/&nbsp; Fedtprocentberegner<\/div>\n  <div class=\"eyebrow\">Beregner &middot; Fedtmasse &amp; kropssammens\u00e6tning<\/div>\n  <h1 id=\"title\">Fedtprocentberegner&nbsp;: din reelle fedtprocent\n    <span class=\"alt\">et m\u00e5leb\u00e5nd, fire m\u00e5linger: nul afkrydsningsbokse<\/span>\n  <\/h1>\n  <p class=\"dek\">Din fedtprocent er den data, der mangler hos 99&nbsp;% af trackerne: uden den er det umuligt at kende din fedtfri masse, alts\u00e5 dit reelle stofskifte. Denne beregner anvender US Navys omkredsmetode (Hodgdon &amp; Beckett 1984, valideret p\u00e5 titusindvis af fors\u00f8gspersoner): et m\u00e5leb\u00e5nd, fire m\u00e5linger, og du f\u00e5r din fedtprocent, din fedtfri masse og din reelle 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>Lean-teamet<\/strong> &middot; L\u00e6setid 8&nbsp;min &middot; Opdateret 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\">Gratis download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      De klassiske apps beregner dit stofskifte p\u00e5 din v\u00e6gt, h\u00f8jde og alder, som om to m\u00e6nd p\u00e5 80&nbsp;kg forbr\u00e6ndte det samme med 10&nbsp;% og 30&nbsp;% fedt. Det er pr\u00e6cis det, Lean afviser: din BMR beregnes p\u00e5 din fedtfri masse, m\u00e5lt med AI BodyScan fra et enkelt foto, og genberegnet kontinuerligt. Denne side anvender samme logik med verdens mest tilg\u00e6ngelige v\u00e6rkt\u00f8j: et m\u00e5leb\u00e5nd.\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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen for at udforske appen<\/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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen<br>for at udforske appen<\/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=\"Oversigt over Lean-appen med drilldown af TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbage\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversigt, Forbrug-fanen\"><\/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-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversigt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbrug-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversigt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbrug<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Hurtigt svar<\/div>\n    <p>US Navy-metoden estimerer din fedtprocent ud fra omkredse taget med m\u00e5leb\u00e5nd: hals og talje hos m\u00e6nd, hals, talje og hofter hos kvinder, plus din h\u00f8jde. Typisk pr\u00e6cision p\u00e5 <b>&plusmn;3 til 4&nbsp;point<\/b> over for referencem\u00e5lingerne (Friedl 1997), gratis og reproducerbar derhjemme. De almindelige sunde intervaller: cirka <b>10 til 20&nbsp;%<\/b> for en mand, <b>18 til 28&nbsp;%<\/b> for en kvinde, mere med alderen. M\u00e5l din procent med beregneren nedenfor.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Beregner<\/span>M\u00e5l din fedtprocent med m\u00e5leb\u00e5nd<\/h2>\n<p>Tag et bl\u00f8dt m\u00e5leb\u00e5nd og tre m\u00e5linger (fire for kvinder): beregneren anvender US Navys omkredsformel (Hodgdon &amp; Beckett 1984) og udleder derefter din fedtmasse, din fedtfri masse og din BMR p\u00e5 fedtfri masse (370&nbsp;+&nbsp;21,6&nbsp;&times;&nbsp;FFM, samme formel som vores <a href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">TDEE-beregner<\/a>). Transparent formel, reproducerbare m\u00e5linger: m\u00e5l altid p\u00e5 samme tidspunkt, fastende, m\u00e5leb\u00e5ndet vandret og uden at stramme.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Dine m\u00e5linger<\/h3>\n    <div class=\"calc-row\">\n      <label>K\u00f8n<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Mand<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Kvinde<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Alder (\u00e5r)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">V\u00e6gt (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\">H\u00f8jde (cm)<\/label><input id=\"cHeight\" type=\"number\" min=\"140\" max=\"220\" value=\"178\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cNeck\">Halsomkreds (cm)<\/label><input id=\"cNeck\" type=\"number\" min=\"25\" max=\"60\" step=\"0.5\" value=\"38\">\n      <div class=\"calc-note\">Lige under adams\u00e6blet, m\u00e5leb\u00e5ndet let skr\u00e5nende fremad, uden at stramme.<\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cWaist\">Taljeomkreds (cm)<\/label><input id=\"cWaist\" type=\"number\" min=\"55\" max=\"170\" step=\"0.5\" value=\"84\">\n      <div class=\"calc-note\" id=\"waistHint\">Mand: i navleh\u00f8jde, ved slutningen af en normal ud\u00e5nding, afslappet mave.<\/div>\n    <\/div>\n    <div class=\"calc-row\" id=\"rowHips\" style=\"display:none\">\n      <label for=\"cHips\">Hofteomkreds (cm)<\/label><input id=\"cHips\" type=\"number\" min=\"70\" max=\"170\" step=\"0.5\" value=\"97\">\n      <div class=\"calc-note\">P\u00e5 hofternes bredeste punkt, f\u00f8dderne samlet, m\u00e5leb\u00e5ndet vandret.<\/div>\n    <\/div>\n    <button type=\"button\" class=\"bf-help\" id=\"bfHelp\">Intet m\u00e5leb\u00e5nd ved h\u00e5nden&nbsp;?<\/button>\n    <div class=\"calc-note\" id=\"bfHint\">Almindelige intervaller for en mand: 10 til 25&nbsp;%. K\u00f8nnet \u00e6ndrer formlen (forskellig fedtfordeling); alderen bruges til at placere dig i intervallerne.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Din fedtprocent<\/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\">I gennemsnittet<\/span>\n      <div class=\"note\">US Navys omkredsmetode: typisk pr\u00e6cision p\u00e5 &plusmn;3 til 4&nbsp;point over for referencem\u00e5lingerne (Friedl 1997). Nok til at f\u00f8lge en tendens; for pr\u00e6cision, se BodyScan l\u00e6ngere nede.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card pas\">\n        <div class=\"label\">Fedtmasse<\/div>\n        <div class=\"v\"><span id=\"rFatKg\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Din v\u00e6gt &times; din m\u00e5lte procent<\/div>\n      <\/div>\n      <div class=\"bd-card\">\n        <div class=\"label\">Fedtfri masse<\/div>\n        <div class=\"v\"><span id=\"rFfm\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Muskler, knogler, organer, vand: det, der forbr\u00e6nder kalorier<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"share-card\">\n      <div class=\"label\">Din BMR p\u00e5 fedtfri masse<\/div>\n      <div class=\"share-meter\" aria-hidden=\"true\"><i id=\"shareBar\"><\/i><\/div>\n      <p>Med <b id=\"rFfm2\">0<\/b> kg fedtfri masse er dit basalstofskifte cirka <b id=\"rBmr\">0<\/b> kcal\/dag (370 + 21,6 &times; fedtfri masse). Det er den v\u00e6rdi, de rent v\u00e6gtbaserede formler ikke kan se: de antager din kropssammens\u00e6tning i stedet for at m\u00e5le den.<\/p>\n    <\/div>\n\n    <div class=\"calc-delta\" id=\"deltaLine\">\n      En rent v\u00e6gtbaseret beregning, der ville antage, at du er i gennemsnittet (<b id=\"dAvgBf\">20<\/b>&#8239;% fedt), ville kreditere dig <b id=\"dBmrAvg\">0<\/b> kcal\/d i BMR: alts\u00e5 <b id=\"dGap\">0<\/b> kcal\/dag i forskel fra din m\u00e5lte virkelighed.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Anbefaling<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">P\u00e6dagogisk estimat baseret p\u00e5 publicerede ligninger (Hodgdon &amp; Beckett 1984; validering Friedl 1997). Denne beregner er ikke et diagnostisk v\u00e6rkt\u00f8j og erstatter ikke medicinsk r\u00e5dgivning.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Denne beregner giver et \u00f8jebliksbillede med en transparent formel. <b>Lean g\u00e5r l\u00e6ngere:<\/b> AI BodyScan m\u00e5ler din fedtprocent fra et enkelt foto, din BMR genberegnes kontinuerligt p\u00e5 den, og dagens kaloriebalance f\u00f8lger din reelle kropssammens\u00e6tning, ikke et populationsgennemsnit. <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\">M\u00e5l din fedtprocent med 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=\"Luk\">&times;<\/button>\n    <div class=\"bf-title\" id=\"bfModalTitle\">Intet m\u00e5leb\u00e5nd ved h\u00e5nden&nbsp;?<\/div>\n    <p class=\"bf-text\">Leans AI BodyScan m\u00e5ler den p\u00e5 5&nbsp;sekunder med et enkelt foto: fedtprocent, fedtfri masse og fedtmasse, direkte fra din telefon.<\/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\">M\u00e5leb\u00e5ndet er en god tiln\u00e6rmelse; fotoet er endnu enklere: ingen m\u00e5linger at tage, ingen fejl ved placering af m\u00e5leb\u00e5ndet, og automatisk tendensopf\u00f8lgning.<\/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; Videnskaben<\/span>Hvorfor din fedtprocent \u00e6ndrer hele dit stofskifte<\/h2>\n\n<div class=\"statement\"><p>To kroppe p\u00e5 80&nbsp;kg kan forbr\u00e6nde 400&nbsp;kcal\/dag forskelligt i hvile. <span class=\"accent\">Forskellen er den fedtfri masse.<\/span><\/p><\/div>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">400<span>kcal\/d<\/span><\/div><div class=\"kl\">i BMR-forskel mellem to m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fedt, den anden med 30&nbsp;%<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&plusmn;3-4<span>point<\/span><\/div><div class=\"kl\">typisk pr\u00e6cision for omkredsmetoden over for referencerne (Friedl 1997)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">21,6<span>kcal<\/span><\/div><div class=\"kl\">forbr\u00e6ndt i hvile per kilo fedtfri masse og per dag, i formlen vist i beregneren<\/div><\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Dit basalstofskifte er ikke proportionalt med din v\u00e6gt: det er proportionalt med din <b>fedtfri masse<\/b>. Muskler, organer, knogler, vand: det er det v\u00e6v, der bruger energi i hvile. Fedtmassen er derimod n\u00e6sten metabolisk inaktiv. To m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fedt (72&nbsp;kg fedtfri masse), den anden med 30&nbsp;% (56&nbsp;kg), har cirka <b>400&nbsp;kcal\/dag i BMR-forskel<\/b>. En formel, der kun kender din v\u00e6gt, h\u00f8jde og alder, viser dem alligevel samme tal: den er matematisk ude af stand til at g\u00f8re det bedre.<\/p>\n<p>Deraf interessen i at m\u00e5le din fedtprocent. Omkredsmetoden blev udviklet til US Navy (Hodgdon &amp; Beckett 1984) netop fordi den rummes i et m\u00e5leb\u00e5nd: forholdet mellem din hals, din talje (og dine hofter hos kvinder) og din h\u00f8jde forudsiger din kropsdensitet, alts\u00e5 din fedtprocent. Friedls validering (1997) p\u00e5 milit\u00e6re kohorter placerer den p\u00e5 <b>&plusmn;3 til 4&nbsp;point<\/b> fra referencemetoderne: ufuldkommen til et absolut tal, meget solid til at f\u00f8lge en tendens, gratis og reproducerbar.<\/p>\n<p>N\u00e5r din procent er kendt, l\u00e5ses alt op: fedtfri masse = v\u00e6gt &times; (1&nbsp;&minus;&nbsp;fedt), og BMR = <b>370 + 21,6 &times; fedtfri masse<\/b>, formlen p\u00e5 fedtfri masse vist i beregneren, den samme som vores <a href=\"https:\/\/lean-app.com\/da\/calcul-metabolisme-de-base\/\">side om basalstofskifte<\/a>. Det er en helt anden filosofi end de rent v\u00e6gtbaserede populationsformler: man tager udgangspunkt i <i>din<\/i> kropssammens\u00e6tning, ikke i gennemsnittet af folk, der ligner dig p\u00e5 tre variabler.<\/p>\n<p>Hvor h\u00f8rer det hjemme i ligningen? I Lean deles forbruget op i <b>TDEE = BMR + NEAT + EAT + TEF<\/b>, og BMR er den f\u00f8rste byggesten, fundamentet. En fejl p\u00e5 300 eller 400&nbsp;kcal i fundamentet forplanter sig overalt: forkert kaloriem\u00e5l, fantomunderskud, uforklarligt plateau. Den metaboliske tilpasning er derimod 5. byggesten: en koefficient, der modulerer BMR (konvention 100&rarr;0&nbsp;%), aldrig et led, man l\u00e6gger til.<\/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\">Fedtprocenten, m\u00e5lt<\/b>Leans AI BodyScan: fedtprocent, fedtfri masse og fedtmasse fra et foto.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Sidste \u00e6rlige pointe: ingen tilg\u00e6ngelig metode er perfekt. M\u00e5leb\u00e5ndet har sin margin, impedansv\u00e6gte varierer med din hydrering, og reference-DEXA er dyr og laves ikke hver uge. Den rette strategi er ikke at lede efter det perfekte tal: det er at m\u00e5le <b>altid p\u00e5 samme m\u00e5de<\/b> og styre p\u00e5 tendensen. Det er pr\u00e6cis det, de f\u00f8lgende afsnit sammenligner.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  For den komplette teori om basalstofskiftet, l\u00e6s <a href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\">s\u00f8jlen om basalstofskifte<\/a>, og for opdelingen byggesten for byggesten, guiden <a href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">samlet energiforbrug<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Tre profiler med m\u00e5leb\u00e5nd<\/span>Det, fire m\u00e5linger afsl\u00f8rer, som din v\u00e6gt ignorerer<\/h2>\n<p>Tre profiler, et m\u00e5leb\u00e5nd, og samme beregning som siden. Ingen etiketter: kun m\u00e5linger. Tallene kommer fra beregneren ovenfor, du kan genskabe dem ved at indtaste de samme parametre.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Det falske gennemsnit<\/h4>\n    <div class=\"meta\">Kvinde &middot; 31 \u00e5r &middot; 64&nbsp;kg &middot; 1,66&nbsp;m &middot; hals 32 &middot; talje 72 &middot; hofter 98<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>M\u00e5lt fedtmasse<\/span><span class=\"v\">&asymp;&nbsp;27,2&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;46,6&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR p\u00e5 fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;377 kcal\/d<\/span><\/div>\n      <div class=\"rw\"><span>Rent v\u00e6gtbaseret formel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;365 kcal\/d<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Hun er pr\u00e6cis i populationsgennemsnittet: den v\u00e6gtbaserede formel rammer n\u00e6sten rigtigt, 12&nbsp;kcal i forskel. <b style=\"color:var(--pink)\">Det er det eneste tilf\u00e6lde, hvor tiln\u00e6rmelsen ikke koster noget: men det skal man vide, alts\u00e5 m\u00e5le.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Den undervurderede sportsud\u00f8ver<\/h4>\n    <div class=\"meta\">Mand &middot; 29 \u00e5r &middot; 75&nbsp;kg &middot; 1,78&nbsp;m &middot; hals 38 &middot; talje 80<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>M\u00e5lt fedtmasse<\/span><span class=\"v\">&asymp;&nbsp;12,4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;65,7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR p\u00e5 fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;790 kcal\/d<\/span><\/div>\n      <div class=\"rw\"><span>Rent v\u00e6gtbaseret formel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;666 kcal\/d<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Muskul\u00f8s forbr\u00e6nder han <b style=\"color:var(--pink)\">124&nbsp;kcal\/dag mere<\/b> end det, en v\u00e6gtbaseret formel giver ham: hans teoretiske \u00abvedligehold\u00bb f\u00e5r ham til at cutte uden at vide det, og derefter stagnere i muskelopbygning.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Plateauet forklaret<\/h4>\n    <div class=\"meta\">Mand &middot; 42 \u00e5r &middot; 92&nbsp;kg &middot; 1,80&nbsp;m &middot; hals 42 &middot; talje 104<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>M\u00e5lt fedtmasse<\/span><span class=\"v\">&asymp;&nbsp;26,4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;67,7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR p\u00e5 fedtfri masse<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;833 kcal\/d<\/span><\/div>\n      <div class=\"rw\"><span>Rent v\u00e6gtbaseret formel<\/span><span class=\"v\">&asymp;&nbsp;1&#8239;960 kcal\/d<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Den v\u00e6gtbaserede formel overvurderer ham med <b style=\"color:var(--pink)\">127&nbsp;kcal\/dag<\/b> : hans \u00abunderskud p\u00e5 300\u00bb er i virkeligheden kun 170. Det uforklarlige plateau i hans seneste di\u00e6t stod skrevet p\u00e5 den linje.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Metoderne sammenlignet<\/span>Fra m\u00e5leb\u00e5nd til DEXA: hvad hver fedtprocentm\u00e5ling er v\u00e6rd<\/h2>\n\n<div class=\"body\">\n<p>Alle metoder har hverken samme pris, samme pr\u00e6cision eller samme reproducerbarhed. Det rette valg afh\u00e6nger af det, du styrer: et absolut tal \u00e9n gang i livet, eller en tendens hver uge:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. M\u00e5leb\u00e5nd (US Navy)<\/h4>\n    <div class=\"meta\">Gratis &middot; &plusmn;3-4 point &middot; derhjemme<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Metoden p\u00e5 denne side. Dens styrke: reproducerbar i det uendelige, nul udstyr. Dens begr\u00e6nsning: f\u00f8lsom over for placeringen af m\u00e5leb\u00e5ndet og tidspunktet for m\u00e5lingen. Perfekt til den m\u00e5nedlige tendens.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. Impedansv\u00e6gt<\/h4>\n    <div class=\"meta\">Tilg\u00e6ngelig &middot; variabel pr\u00e6cision &middot; derhjemme<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Sender en mikrostr\u00f8m og udleder fedtet af modstanden. Problem: din hydrering \u00e6ndrer resultatet fra dag til dag, nogle gange med 5 point mellem morgen og aften (Moon 2008). Tendens ja, tal nej.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. DEXA \/ hydrostatisk vejning<\/h4>\n    <div class=\"meta\">Efter aftale &middot; referencen &middot; p\u00e5 center<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Referencemetoderne i studierne (Siri 1961 for densitetsmodellerne). Pr\u00e6cise, men punktvise og kr\u00e6vende: ingen laver en DEXA hver uge. Nyttige til at rekalibrere din hjemmem\u00e5ling nu og da.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. AI BodyScan (Lean)<\/h4>\n    <div class=\"meta\">Et foto &middot; 5 sekunder &middot; i appen<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">AI'en estimerer din sammens\u00e6tning fra et foto: intet m\u00e5leb\u00e5nd at placere, ingen hydrering, der forvrider, og m\u00e5lingen fodrer direkte din BMR i appen, genberegnet kontinuerligt. M\u00e5lingen bliver en refleks, ikke en byrde.<\/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\">Fra fedtprocent til BMR<\/b>I Lean fodrer din m\u00e5ling din BMR: hele k\u00e6den, uden ny indtastning.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Uanset din metode er reglen den samme: <b>samme betingelser, samme tidspunkt, og styr p\u00e5 tendensen<\/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\">BodyScan g\u00f8r den automatisk<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Myte vs virkelighed<\/span>BMI m\u00e5ler ikke din kropssammens\u00e6tning<\/h2>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">1832<\/div><div class=\"kl\">BMI's oprindelse: en statistikers formel (Quetelet) til at beskrive populationer, ikke individer<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">samme<span>BMI<\/span><\/div><div class=\"kl\">en defineret rugbyspiller og en stillesiddende kan dele samme BMI med 15 point fedtprocent i forskel<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&asymp;&plusmn;4<span>point<\/span><\/div><div class=\"kl\">den typiske fejl i formler BMI&rarr;fedtprocent af Deurenberg-typen (1991): nyttige i population, grove for dig<\/div><\/div>\n<\/div>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">Myten<\/div>\n    <h4>\u00abMit BMI er normalt, s\u00e5 min sammens\u00e6tning er god\u00bb<\/h4>\n    <p>BMI (v\u00e6gt \/ h\u00f8jde&sup2;) blev opfundet af en statistiker i 1800-tallet til at beskrive hele populationer. Det ser hverken muskel, fedt eller deres fordeling: en muskul\u00f8s sportsud\u00f8ver bliver \u00aboverv\u00e6gtig\u00bb, en slank stillesiddende bliver \u00abnormal\u00bb med h\u00f8j fedtprocent, den ber\u00f8mte \u00abskinny fat\u00bb-profil. Formlerne, der udleder fedtprocent af BMI (Deurenberg 1991), arver problemet: korrekte i gennemsnit, forkerte for individer, der afviger fra gennemsnittet, det vil sige netop sportsud\u00f8vere.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">Den m\u00e5lte virkelighed<\/div>\n    <h4>Sammens\u00e6tningen m\u00e5les, den udledes ikke af v\u00e6gten<\/h4>\n    <p>M\u00e5leb\u00e5ndet p\u00e5 denne side m\u00e5ler der, hvor fedtet kan ses: forholdet mellem din hals, din talje og dine hofter. Det er hele forskellen: to personer med samme BMI f\u00e5r forskellige resultater, fordi deres kroppe ER forskellige. Friedls milit\u00e6re validering (1997) handler pr\u00e6cis om det: at klassificere individer korrekt, ikke populationer.<\/p>\n    <p>Den praktiske konsekvens: styr aldrig et cut eller en muskelopbygning efter BMI eller v\u00e6gt alene. V\u00e6gten blander muskel, fedt, vand og glykogen; fedtprocenten adskiller dem. Det er den, der fort\u00e6ller, om dine tabte kilo var fedt eller muskel, og det er din fedtfri masse, der fasts\u00e6tter dit reelle kaloriebudget.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Den praktiske konsekvens: m\u00e5l din fedtprocent hver 3. til 4. uge under samme betingelser, f\u00f8lg tendensen, og lad din BMR genberegne sig p\u00e5 din fedtfri masse ved hver m\u00e5ling. Det er hele forskellen mellem et teoretisk kaloriem\u00e5l og et m\u00e5l, der virkelig passer til dig.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  For at placere din BMR i dit komplette forbrug: <a href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">TDEE-beregner<\/a> og guiden <a href=\"https:\/\/lean-app.com\/da\/calculer-vraie-depense-calorique\/\">beregn dit reelle kalorieforbrug<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Alt du sp\u00f8rger dig selv om fedtmasse<\/h2>\n<details class=\"faq\"><summary>Hvordan beregner man sin fedtprocent&nbsp;?<\/summary><div class=\"faq-body\"><p>Den mest tilg\u00e6ngelige metode er omkredsmetoden (US Navy): med et m\u00e5leb\u00e5nd, m\u00e5l din hals og din talje (plus hofterne hos kvinder), indtast din h\u00f8jde, og formlen estimerer din fedtprocent. Det er beregneren p\u00e5 denne side. Alternativerne: impedansv\u00e6gt (f\u00f8lsom over for hydrering), hudfolder (afh\u00e6nger af operat\u00f8ren), DEXA (reference, p\u00e5 center) og Leans AI BodyScan fra et foto.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvad er en god fedtprocent&nbsp;?<\/summary><div class=\"faq-body\"><p>De almindelige intervaller: cirka 10 til 20&nbsp;% for en mand og 18 til 28&nbsp;% for en kvinde i god form, lidt mere med alderen. Under 6&nbsp;% (mand) eller 14&nbsp;% (kvinde) n\u00e6rmer man sig det essentielle fedt: det er ikke en zone at sigte efter varigt. Husk frem for alt, at tendensen t\u00e6ller mere end tallet: fejlmarginen i de tilg\u00e6ngelige metoder overstiger forskellen mellem \u00abgod\u00bb og \u00abmeget god\u00bb.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Er US Navy-metoden p\u00e5lidelig&nbsp;?<\/summary><div class=\"faq-body\"><p>Den er valideret p\u00e5 store milit\u00e6re kohorter: typisk pr\u00e6cision p\u00e5 &plusmn;3 til 4 point over for referencemetoderne (Friedl 1997), med mulig sk\u00e6vhed i yderpunkterne (meget muskul\u00f8se, meget h\u00f8je procenter). Det er nok til at placere din zone og f\u00f8lge en m\u00e5nedlig tendens, ikke til at sammenligne to m\u00e5linger p\u00e5 1 point n\u00e6r. M\u00e5l altid under samme betingelser: fastende, m\u00e5leb\u00e5ndet vandret, uden at stramme.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvorfor \u00e6ndrer min procent sig fra dag til dag p\u00e5 min v\u00e6gt&nbsp;?<\/summary><div class=\"faq-body\"><p>Impedansv\u00e6gte udleder din sammens\u00e6tning af kroppens elektriske modstand, som varierer med din hydrering, dine m\u00e5ltider, din tr\u00e6ning dagen f\u00f8r. Fra den ene morgen til den n\u00e6ste kan samme krop vise flere point i forskel (Moon 2008). Det er ikke dit fedt, der har \u00e6ndret sig, det er dit vand. Vej dig og m\u00e5l dig altid p\u00e5 samme tidspunkt, og l\u00e6s ugegennemsnittet, aldrig dagens tal.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvad er forskellen mellem BMI og fedtmasse&nbsp;?<\/summary><div class=\"faq-body\"><p>BMI dividerer din v\u00e6gt med din h\u00f8jde i anden: det kan ikke skelne et kilo muskel fra et kilo fedt. To personer med samme BMI kan have 15 point fedtprocent i forskel. Fedtprocenten m\u00e5ler den reelle sammens\u00e6tning: det er den, der t\u00e6ller for dit stofskifte, din metaboliske sundhed og din fysik. BMI er stadig et statistikv\u00e6rkt\u00f8j for populationer, ikke til individuel styring.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvorfor \u00e6ndrer fedtprocenten mit basalstofskifte&nbsp;?<\/summary><div class=\"faq-body\"><p>Fordi stofskiftet b\u00e6res af den fedtfri masse: muskler, organer, knogler. Ved 80&nbsp;kg har en krop med 10&nbsp;% fedt 72&nbsp;kg aktivt v\u00e6v; med 30&nbsp;%, kun 56&nbsp;kg. Resultat: cirka 400&nbsp;kcal\/dag i BMR-forskel mellem de to, usynlig for en rent v\u00e6gtbaseret formel. Det er grunden til, at denne side findes: at m\u00e5le dit fedt for at kende din fedtfri masse, alts\u00e5 dit reelle kaloriebudget.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvor ofte b\u00f8r man m\u00e5le sin fedtmasse&nbsp;?<\/summary><div class=\"faq-body\"><p>Hver 3. til 4. uge er nok med m\u00e5leb\u00e5nd: fedtet udvikler sig langsomt, og at m\u00e5le oftere m\u00e5ler mest st\u00f8j. Undtagelsen: en automatisk m\u00e5ling uden anstrengelse, som foto-BodyScan, der muligg\u00f8r en t\u00e6ttere opf\u00f8lgning af tendensen uden bes\u00e6ttelse af tallet. I alle tilf\u00e6lde: samme betingelser, samme tidspunkt, og beslutninger taget p\u00e5 tendensen af 2 til 3 m\u00e5linger.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Kan man tabe fedt uden at tabe muskler&nbsp;?<\/summary><div class=\"faq-body\"><p>Ja, det er hele pointen med et vellykket cut: moderat underskud, tilstr\u00e6kkeligt proteinindtag og styrketr\u00e6ning. Den eneste m\u00e5de at kontrollere, at det virker, er netop at f\u00f8lge din fedtprocent ud over din v\u00e6gt: falder v\u00e6gten, og den fedtfri masse holder, taber du fedt; styrtdykker begge, er dit underskud for aggressivt. V\u00e6gten alene kan ikke se den forskel.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Forvandler tr\u00e6ning fedt til muskel&nbsp;?<\/summary><div class=\"faq-body\"><p>Nej: det er to forskellige v\u00e6v, det ene bliver aldrig det andet. Til geng\u00e6ld kan du tabe fedt og opbygge muskler i samme periode (kropsrekomposition), is\u00e6r i starten. P\u00e5 v\u00e6gten kan din v\u00e6gt s\u00e5 stagnere, mens din krop \u00e6ndrer sig fuldst\u00e6ndigt: endnu en situation, hvor kun opf\u00f8lgning af fedtprocenten viser det reelle fremskridt.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Giver denne beregner en pr\u00e6cis m\u00e5ling af min fedtprocent&nbsp;?<\/summary><div class=\"faq-body\"><p>Nej. Den anvender en valideret ligning (US Navy) p\u00e5 dine omkredse, med typisk pr\u00e6cision p\u00e5 &plusmn;3 til 4 point: det er et solidt estimat til at placere dig og f\u00f8lge din tendens, ikke en sandhed p\u00e5 tiendedelen. Ingen tilg\u00e6ngelig metode g\u00f8r det bedre i absolutte tal; det, der t\u00e6ller, er konstansen i m\u00e5lebetingelserne. Og i alle tilf\u00e6lde erstatter hverken denne side eller appen medicinsk r\u00e5dgivning.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Videnskabelige kilder<\/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>Din fedtprocent, m\u00e5lt med et foto<\/h3>\n  <p>AI BodyScan fra et enkelt foto, BMR genberegnet kontinuerligt p\u00e5 din fedtfri masse, kaloriebalance, der f\u00f8lger din reelle sammens\u00e6tning. Den data, din v\u00e6gt ignorerer, endelig m\u00e5lt. Gratis download, 7&nbsp;dages pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet.<\/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. Les alternatives : balance \u00e0 imp\u00e9dance, plis cutan\u00e9s, DEXA et le BodyScan IA de Lean depuis une photo.\"\n          }\n        },\n        {\n          \"@type\": \"Question\",\n          \"name\": \"Quel est un bon pourcentage de masse grasse ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"Les fourchettes usuelles : environ 10 \u00e0 20 % pour un homme et 18 \u00e0 28 % pour une femme en bonne forme, un peu plus avec l'\u00e2ge. Sous 6 % (homme) ou 14 % (femme), on approche du gras essentiel : ce n'est pas une zone \u00e0 viser durablement.\"\n          }\n        },\n        {\n          \"@type\": \"Question\",\n          \"name\": \"La m\u00e9thode US Navy est-elle fiable ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"Valid\u00e9e sur de grandes cohortes militaires : pr\u00e9cision typique de plus ou moins 3 \u00e0 4 points face aux m\u00e9thodes de r\u00e9f\u00e9rence (Friedl 1997). Suffisant pour situer ta zone et suivre une tendance mensuelle, en mesurant toujours dans les m\u00eames conditions.\"\n          }\n        },\n        {\n          \"@type\": \"Question\",\n          \"name\": \"Quelle diff\u00e9rence entre IMC et masse grasse ?\",\n          \"acceptedAnswer\": {\n            \"@type\": \"Answer\",\n            \"text\": \"L'IMC divise le poids par la taille au carr\u00e9 et ne distingue pas le muscle du gras : deux personnes de m\u00eame IMC peuvent avoir 15 points de bodyfat d'\u00e9cart. 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' ? 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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;\">L\u00e6s ogs\u00e5<\/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\/da\/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;\">Beregning af basalstofskifte: den mest pr\u00e6cise formel <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor din BMR beregnes p\u00e5 din fedtfri masse, ikke p\u00e5 din v\u00e6gt.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/da\/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;\">Komplet TDEE-beregner: BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Opdelingen af dit forbrug, byggesten for byggesten, p\u00e5 din reelle fedtprocent.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/da\/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;\">S\u00e5dan beregner du dit reelle kalorieforbrug <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Den komplette guide, fra BMR til metabolisk tilpasning, med markedets f\u00e6lder.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/da\/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;\">Beregner for metabolisk tilpasning <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Er din BMR bremset, og hvor meget: koefficient 100 til 0 %.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/da\/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;\">Samlet energiforbrug: den komplette guide <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Alt det, der udg\u00f8r dine kcal\/dag, fra BMR til madens termiske effekt.<\/span><\/a><\/li>\n<\/ul>\n<\/aside>","protected":false},"excerpt":{"rendered":"<p>Beregn din fedtprocent med m\u00e5leb\u00e5nd (valideret US Navy-metode), derefter din fedtfri masse og din reelle BMR. M\u00e5linger, nul afkrydsningsbokse.<\/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>Beregner for kropsfedt: din pr\u00e6cise procent - 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\/da\/calculateur-masse-grasse\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Beregner for kropsfedt: din pr\u00e6cise procent - Lean\" \/>\n<meta property=\"og:description\" content=\"Beregn din fedtprocent med m\u00e5leb\u00e5nd (valideret US Navy-metode), derefter din fedtfri masse og din reelle BMR. 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