{"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":"2026-08-25T09:07:57","modified_gmt":"2026-08-25T09:07:57","slug":"calculateur-masse-grasse","status":"publish","type":"post","link":"https:\/\/lean-app.com\/en\/calculateur-masse-grasse\/","title":{"rendered":"Calculateur de masse grasse : ton vrai pourcentage de gras"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" 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.k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}\n\n\/* Calculator-specific styles, scoped #lvm-shell *\/\n#lvm-shell .calc-board{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n@media(min-width:780px){#lvm-shell .calc-board{grid-template-columns:1fr 1fr;gap:24px}}\n#lvm-shell .calc-inputs{background:#FAF7F2;border-radius:14px;padding:22px;border:1px solid var(--rule-soft)}\n#lvm-shell .calc-inputs h3{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 16px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .calc-row{margin:0 0 14px}\n#lvm-shell .calc-row label{display:block;font-size:13px;color:var(--muted);margin-bottom:6px;font-weight:500}\n#lvm-shell .calc-row input,#lvm-shell .calc-row select{width:100%;padding:11px 13px;border:1px solid var(--rule);border-radius:9px;font-size:16px;background:#fff;color:var(--ink);font-family:var(--font-text);box-sizing:border-box}\n#lvm-shell .calc-row input:focus,#lvm-shell .calc-row select:focus{outline:2px solid var(--pink);outline-offset:1px;border-color:var(--pink)}\n#lvm-shell .calc-sex{display:flex;gap:8px}\n#lvm-shell .calc-sex label{flex:1;display:flex;align-items:center;justify-content:center;gap:6px;padding:11px 8px;background:#fff;border:1px solid var(--rule);border-radius:9px;cursor:pointer;margin:0;font-size:14px;font-weight:500;color:var(--ink)}\n#lvm-shell .calc-sex input{display:none}\n#lvm-shell .calc-sex input:checked + span{color:var(--pink);font-weight:600}\n#lvm-shell .calc-sex label:has(input:checked){border-color:var(--pink);background:var(--pink-soft)}\n#lvm-shell .calc-bf{display:flex;align-items:center;gap:10px}\n#lvm-shell .calc-bf input[type=range]{flex:1;accent-color:var(--pink);height:6px}\n#lvm-shell .calc-bf .bf-val{font-weight:600;color:var(--pink);min-width:42px;font-family:var(--font-mono);font-size:15px}\n#lvm-shell .calc-results{display:grid;grid-template-columns:1fr;gap:12px}\n#lvm-shell .calc-tdee{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px;text-align:center}\n#lvm-shell .calc-tdee .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-tdee .val{font-family:var(--font-display);font-size:40px;font-weight:600;letter-spacing:-.025em;margin-top:6px;color:var(--ink);line-height:1}\n#lvm-shell .calc-tdee .val .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-tdee .note{font-size:12px;color:var(--dim);margin-top:6px}\n#lvm-shell .scen-grid{display:grid;grid-template-columns:1fr;gap:10px;margin-top:4px}\n#lvm-shell .scen-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:14px 16px}\n#lvm-shell .scen-card.lent{border-left:4px solid #4CAF50}\n#lvm-shell .scen-card.mod{border-left:4px solid var(--pink)}\n#lvm-shell .scen-card.agg{border-left:4px solid #E84D44}\n#lvm-shell .scen-card .scen-h{display:flex;align-items:baseline;justify-content:space-between;gap:10px}\n#lvm-shell .scen-card .scen-name{font-family:var(--font-display);font-weight:600;font-size:15px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .scen-card .scen-pct{font-family:var(--font-mono);font-size:12px;color:var(--muted);font-weight:600}\n#lvm-shell .scen-card .scen-kcal{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .scen-card.mod .scen-kcal{color:var(--pink)}\n#lvm-shell .scen-card .scen-kcal .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .scen-card .scen-rate{font-size:13px;color:var(--ink-2);margin-top:4px}\n#lvm-shell .scen-card .scen-warn{font-size:12px;color:#B23030;margin-top:6px;line-height:1.4}\n#lvm-shell .calc-delta{margin-top:10px;padding:14px 16px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:14px;color:var(--ink);line-height:1.5}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* 3 scenarios detailed cards *\/\n#lvm-shell .sce-detail{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .sce-detail .sd{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .sce-detail .sd.lent{border-left:4px solid #4CAF50}\n#lvm-shell .sce-detail .sd.mod{border-left:4px solid var(--pink)}\n#lvm-shell .sce-detail .sd.agg{border-left:4px solid #E84D44}\n#lvm-shell .sce-detail .sd .head{display:flex;align-items:baseline;justify-content:space-between;gap:10px;margin-bottom:6px;flex-wrap:wrap}\n#lvm-shell .sce-detail .sd h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .sce-detail .sd .pct{font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--muted)}\n#lvm-shell .sce-detail .sd.lent .pct{color:#4CAF50}\n#lvm-shell .sce-detail .sd.mod .pct{color:var(--pink)}\n#lvm-shell .sce-detail .sd.agg .pct{color:#E84D44}\n#lvm-shell .sce-detail .sd .lab{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin:10px 0 2px}\n#lvm-shell .sce-detail .sd p{margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)}\n\n\/* BodyScan illust (defensive inline-equivalent here) *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\\2212 \"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* Body copy *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n\n\n\/* NEAT-specific styles, scoped #lvm-shell *\/\n#lvm-shell .neat-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:14px auto 10px;max-width:340px;overflow:hidden}\n#lvm-shell .neat-meter i{display:block;height:100%;width:30%;border-radius:6px;background:linear-gradient(90deg,#FFB25E,#FF8C00);transition:width .3s ease}\n#lvm-shell .neat-pill{display:inline-block;padding:5px 14px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase;font-family:var(--font-mono);color:#0E0E10}\n#lvm-shell .neat-pill.ok{background:#A8D5A0}\n#lvm-shell .neat-pill.warn{background:#FF8C00;color:#fff}\n#lvm-shell .neat-pill.alert{background:#E84D44;color:#fff}\n#lvm-shell .bmr-duo{display:grid;grid-template-columns:1fr;gap:12px}\n@media(min-width:640px){#lvm-shell .bmr-duo{grid-template-columns:1fr 1fr}}\n#lvm-shell .bd-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:16px 18px;text-align:center}\n\/* modificateur \"pas\" (PAS \"steps\" : #lvm-shell .steps existe deja dans le shell\n   comme stepper grid 5 colonnes, collision detectee au controle visuel desktop) *\/\n#lvm-shell .bd-card.pas{border-left:4px solid #FF8C00}\n#lvm-shell .bd-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .bd-card .v{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .bd-card .v .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .bd-card .s{font-size:12px;color:var(--dim);margin-top:6px;line-height:1.45}\n#lvm-shell .bd-card .s b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px;margin-top:12px}\n#lvm-shell .share-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin-bottom:6px}\n#lvm-shell .share-card p{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .share-card b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:10px 0 4px;overflow:hidden}\n#lvm-shell .share-meter i{display:block;height:100%;width:20%;border-radius:6px;background:#FF8C00;transition:width .3s ease}\n#lvm-shell .reco-card{background:#fff;border:1px solid var(--rule);border-left:4px solid var(--pink);border-radius:12px;padding:18px 20px}\n#lvm-shell .reco-card .rc-title{font-family:var(--font-display);font-weight:600;font-size:16px;color:var(--ink);letter-spacing:-.01em;margin-bottom:6px}\n#lvm-shell .reco-card .rc-body{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .reco-card .rc-disclaimer{margin:12px 0 0;font-size:12px;line-height:1.5;color:var(--dim);border-top:1px solid var(--rule-soft);padding-top:10px}\n#lvm-shell .mvr{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .mvr .mv{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .mvr .mv.myth{border-left:4px solid #E84D44}\n#lvm-shell .mvr .mv.real{border-left:4px solid #4CAF50}\n#lvm-shell .mvr .mv .tag{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;font-family:var(--font-mono);margin-bottom:8px}\n#lvm-shell .mvr .mv.myth .tag{color:#E84D44}\n#lvm-shell .mvr .mv.real .tag{color:#4CAF50}\n#lvm-shell .mvr .mv h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0 0 8px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .mvr .mv p{margin:0 0 10px;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .mvr .mv p:last-child{margin-bottom:0}\n#lvm-shell .steps-out{font-family:var(--font-mono);font-size:13px;font-weight:700;color:#FF8C00;margin-left:8px}\n\/* keycards chiffrees couleur NEAT *\/\n#lvm-shell .key-grid{display:grid;grid-template-columns:1fr;gap:12px;margin:26px 0}\n@media(min-width:640px){#lvm-shell .key-grid{grid-template-columns:repeat(3,1fr)}}\n#lvm-shell .key-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px}\n#lvm-shell .key-card .kv{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:#FF8C00;line-height:1.1}\n#lvm-shell .key-card .kv span{font-size:13px;font-weight:500;color:var(--muted);margin-left:3px;letter-spacing:0}\n#lvm-shell .key-card .kl{font-size:13px;color:var(--dim);margin-top:6px;line-height:1.5}\n\/* aide bodyfat + popup BodyScan (zero lib externe) *\/\n#lvm-shell .bf-help{display:inline-block;background:none;border:0;padding:0;margin-top:8px;font-size:13px;font-weight:600;color:var(--pink);text-decoration:underline;cursor:pointer;font-family:inherit}\n#lvm-shell .bf-modal{position:fixed;inset:0;z-index:9999;display:none;align-items:center;justify-content:center;padding:18px}\n#lvm-shell .bf-modal.open{display:flex}\n#lvm-shell .bf-modal .bf-ovl{position:absolute;inset:0;background:rgba(14,14,16,.55)}\n#lvm-shell .bf-dialog{position:relative;background:#fff;border-radius:16px;max-width:340px;width:100%;padding:24px 22px 20px;text-align:center;box-shadow:0 24px 60px rgba(0,0,0,.25);max-height:88vh;overflow-y:auto}\n#lvm-shell .bf-dialog .bf-close{position:absolute;top:8px;right:10px;background:none;border:0;font-size:26px;line-height:1;color:#6E6E73;cursor:pointer;padding:6px}\n#lvm-shell .bf-dialog .bf-title{font-family:var(--font-display);font-size:19px;font-weight:600;color:var(--ink);letter-spacing:-.01em;margin:0 0 8px}\n#lvm-shell .bf-dialog .bf-text{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 14px}\n#lvm-shell .bf-dialog .bf-sub{font-size:12px;line-height:1.5;color:var(--dim);margin:14px 0}\n#lvm-shell .bf-dialog .bf-stores{display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap}\n#lvm-shell .bf-dialog .bf-stores img{height:40px;width:auto;display:block}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1954 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1954 #lvm-shell .wrap,\nbody.postid-1954 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1954 #lvm-shell .wrap,\n  body.postid-1954 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1954 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1954 #lvm-shell *{max-width:100%}\nbody.postid-1954 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1954 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1954 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1954 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1954 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1954 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1954 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1954 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1954 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1954 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1954 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1954 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1954 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1954 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1954 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1954 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1954 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1954 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1954 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1954 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1954 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1954 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1954 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1954 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1954 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1954 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1954 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1954 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1954 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1954 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1954 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1954 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1954 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1954 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1954 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#E15822!important;\n  }\n  body.postid-1954 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1954 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1954 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1954 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1954 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1954 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1954 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1954 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1954 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1954 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1954 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1954 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1954 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1954 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1954 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers : images ne doivent pas exploser *\/\n#lvm-shell picture{display:block;max-width:100%}\n#lvm-shell picture img{display:block;max-width:100%;height:auto}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture{display:block;width:100%;height:100%}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture img{width:100%!important;height:100%!important;object-fit:cover!important}\n#lvm-shell .pyramide-illust picture{display:block;width:100%}\n#lvm-shell .pyramide-illust picture img{width:100%!important;height:auto!important;border-radius:18px}<\/style>\n<div id=\"lvm-shell\" class=\"force-show\">\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/en\/\"><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\/en\/\">Home<\/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\/en\/\">Home<\/a> &nbsp;\/&nbsp; Body fat calculator<\/div>\n  <div class=\"eyebrow\">Calculator &middot; Body fat &amp; body composition<\/div>\n  <h1 id=\"title\">Body fat calculator&nbsp;: your real body fat percentage\n    <span class=\"alt\">one tape measure, four measurements: zero checkboxes<\/span>\n  <\/h1>\n  <p class=\"dek\">Your body fat percentage is the data point missing from 99&nbsp;% of trackers: without it, there is no way to know your lean mass, hence your real metabolism. This calculator applies the US Navy circumference method (Hodgdon &amp; Beckett 1984, validated on tens of thousands of subjects): one tape measure, four measurements, and you get your body fat&nbsp;%, your lean mass and your real 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>The Lean Team<\/strong> &middot; 8&nbsp;min read &middot; Updated August 25, 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\">Free download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Mainstream apps compute your metabolism from your weight, height and age, as if two 80&nbsp;kg men burned the same at 10&nbsp;% and 30&nbsp;% body fat. That is exactly what Lean refuses: your BMR is computed on your lean mass, measured by BodyScan AI from a single photo, and recalculated continuously. This page applies the same logic with the most accessible tool in the world: a tape measure.\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>Interactive demo<\/small>Tap the screen to explore the app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactive demo<\/small>Tap the screen<br>to explore the app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Preview of the Lean app with TDEE drill-down\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Back\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean preview, Expenditure tab\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Balance tab\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Calories tab\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Expenditure tab\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategy tab\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navigate the Lean app\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calories<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Expenditure<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategy<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Quick answer<\/div>\n    <p>The US Navy method estimates your body fat percentage from tape measurements: neck and waist for men, neck, waist and hips for women, plus your height. Typical precision of <b>&plusmn;3 to 4&nbsp;points<\/b> against reference methods (Friedl 1997), free and repeatable at home. The usual healthy ranges: about <b>10 to 20&nbsp;%<\/b> for a man, <b>18 to 28&nbsp;%<\/b> for a woman, a little more with age. Measure your percentage with the calculator below.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Calculator<\/span>Measure your body fat percentage with a tape<\/h2>\n<p>Grab a soft tape measure and take three measurements (four for women): the calculator applies the US Navy circumference formula (Hodgdon &amp; Beckett 1984), then derives your fat mass, your lean mass and your BMR on lean mass (370&nbsp;+&nbsp;21.6&nbsp;&times;&nbsp;FFM, the same formula as our <a href=\"\/en\/calculateur-tdee\/\">TDEE calculator<\/a>). Transparent formula, repeatable measurements: always measure at the same time, fasted, tape horizontal and without squeezing.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Your measurements<\/h3>\n    <div class=\"calc-row\">\n      <label>Sex<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Male<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Female<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Age (years)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Weight (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\">Height (cm)<\/label><input id=\"cHeight\" type=\"number\" min=\"140\" max=\"220\" value=\"178\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cNeck\">Neck circumference (cm)<\/label><input id=\"cNeck\" type=\"number\" min=\"25\" max=\"60\" step=\"0.5\" value=\"38\">\n      <div class=\"calc-note\">Just below the Adam's apple, tape slightly tilted forward, without squeezing.<\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label for=\"cWaist\">Waist circumference (cm)<\/label><input id=\"cWaist\" type=\"number\" min=\"55\" max=\"170\" step=\"0.5\" value=\"84\">\n      <div class=\"calc-note\" id=\"waistHint\">Men: at navel level, at the end of a normal exhale, belly relaxed.<\/div>\n    <\/div>\n    <div class=\"calc-row\" id=\"rowHips\" style=\"display:none\">\n      <label for=\"cHips\">Hip circumference (cm)<\/label><input id=\"cHips\" type=\"number\" min=\"70\" max=\"170\" step=\"0.5\" value=\"97\">\n      <div class=\"calc-note\">At the widest point of the hips, feet together, tape horizontal.<\/div>\n    <\/div>\n    <button type=\"button\" class=\"bf-help\" id=\"bfHelp\">No tape measure at hand&nbsp;?<\/button>\n    <div class=\"calc-note\" id=\"bfHint\">Typical ranges for a man: 10 to 25&nbsp;%. Sex changes the formula (different fat distribution); age helps you read the ranges.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">Your body fat percentage<\/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\">Average range<\/span>\n      <div class=\"note\">US Navy circumference method: typical precision of &plusmn;3 to 4&nbsp;points against reference methods (Friedl 1997). Enough to track a trend; for precision, see the BodyScan below.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card pas\">\n        <div class=\"label\">Fat mass<\/div>\n        <div class=\"v\"><span id=\"rFatKg\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Your weight &times; your measured percentage<\/div>\n      <\/div>\n      <div class=\"bd-card\">\n        <div class=\"label\">Lean mass<\/div>\n        <div class=\"v\"><span id=\"rFfm\">0<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Muscles, bones, organs, water: what burns calories<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"share-card\">\n      <div class=\"label\">Your BMR on lean mass<\/div>\n      <div class=\"share-meter\" aria-hidden=\"true\"><i id=\"shareBar\"><\/i><\/div>\n      <p>With <b id=\"rFfm2\">0<\/b> kg of lean mass, your basal metabolic rate is about <b id=\"rBmr\">0<\/b> kcal\/day (370 + 21.6 &times; lean mass). This is the value weight-only formulas cannot see: they assume your body composition instead of measuring it.<\/p>\n    <\/div>\n\n    <div class=\"calc-delta\" id=\"deltaLine\">\n      A weight-only calculation, assuming you sit at the population average (<b id=\"dAvgBf\">20<\/b>&#8239;% body fat), would credit you <b id=\"dBmrAvg\">0<\/b> kcal\/day of BMR: that is <b id=\"dGap\">0<\/b> kcal\/day of gap with your measured reality.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Recommendation<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">Educational estimate based on published equations (Hodgdon &amp; Beckett 1984; Friedl 1997 validation). This calculator is not a diagnostic tool and does not replace medical advice.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  This calculator gives a snapshot with a transparent formula. <b>Lean goes further:<\/b> BodyScan AI measures your body fat from a single photo, your BMR is recalculated on it continuously, and your daily calorie balance follows your real body composition, not a population average. <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\">Measure your body fat with 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=\"Fermer\">&times;<\/button>\n    <div class=\"bf-title\" id=\"bfModalTitle\">No tape measure at hand&nbsp;?<\/div>\n    <p class=\"bf-text\">Lean's AI BodyScan measures it in 5&nbsp;seconds from a single photo: body fat, lean mass and fat mass, straight from your phone.<\/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\">The tape is a good approximation; the photo is even simpler: no measurements to take, no tape placement error, and automatic trend tracking.<\/p>\n    <div class=\"bf-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\"><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-masse-grasse\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\"><\/a>\n    <\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; The science<\/span>Why your body fat percentage changes your whole metabolism<\/h2>\n\n<div class=\"statement\"><p>Two 80&nbsp;kg bodies can burn 400&nbsp;kcal\/day apart at rest. <span class=\"accent\">The difference is lean mass.<\/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\">of BMR gap between two 80&nbsp;kg men, one at 10&nbsp;% body fat, the other at 30&nbsp;%<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&plusmn;3-4<span>pts<\/span><\/div><div class=\"kl\">typical precision of the circumference method against reference measures (Friedl 1997)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">21,6<span>kcal<\/span><\/div><div class=\"kl\">burned at rest per kilo of lean mass per day, in the calculator's displayed formula<\/div><\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Your basal metabolic rate is not proportional to your weight: it is proportional to your <b>lean mass<\/b>. Muscles, organs, bones, water: that is the tissue burning energy at rest. Fat mass, on the other hand, is almost metabolically inert. Two 80&nbsp;kg men, one at 10&nbsp;% body fat (72&nbsp;kg of lean mass), the other at 30&nbsp;% (56&nbsp;kg), sit about <b>400&nbsp;kcal\/day of BMR apart<\/b>. Yet a formula that only knows your weight, height and age shows them the same number: it is mathematically unable to do better.<\/p>\n<p>Hence the point of measuring your body fat percentage. The circumference method was developed for the US Navy (Hodgdon &amp; Beckett 1984) precisely because it fits in a tape measure: the ratio between your neck, your waist (and your hips for women) and your height predicts your body density, hence your body fat percentage. Friedl's validation (1997) on military cohorts places it at <b>&plusmn;3 to 4&nbsp;points<\/b> of reference methods: imperfect for an absolute number, very solid for tracking a trend, free and repeatable.<\/p>\n<p>Once your percentage is known, everything unlocks: lean mass = weight &times; (1&nbsp;&minus;&nbsp;fat), and BMR = <b>370 + 21.6 &times; lean mass<\/b>, the lean-mass formula displayed in the calculator, the same as our <a href=\"\/en\/calcul-metabolisme-de-base\/\">basal metabolic rate page<\/a>. It is a completely different philosophy from weight-only population formulas: we start from <i>your<\/i> body composition, not from the average of people who look like you on three variables.<\/p>\n<p>Where does it fit in the equation? In Lean, expenditure breaks down as <b>TDEE = BMR + NEAT + EAT + TEF<\/b>, and BMR is its first brick, the foundation. A 300 or 400&nbsp;kcal error at the foundation propagates everywhere: wrong calorie target, phantom deficit, unexplained plateau. Metabolic adaptation, for its part, is the 5th brick: a coefficient that modulates BMR (100&rarr;0&nbsp;% convention), never a term you add up.<\/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\">Body fat, measured<\/b>Lean's BodyScan AI: body fat percentage, lean mass and fat mass from a photo.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>One last note of honesty: no accessible method is perfect. The tape has its margin, impedance scales vary with your hydration, and the reference DEXA is expensive and not a weekly habit. The right strategy is not chasing the perfect number: it is measuring <b>always the same way<\/b> and steering on the trend. That is exactly what the next sections compare.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  For the full theory of basal metabolic rate, read the <a href=\"\/en\/metabolisme-de-base\/\">basal metabolic rate pillar<\/a>, and for the block-by-block breakdown, the guide <a href=\"\/en\/depense-energetique-totale-v2\/\">total daily energy expenditure<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Three tape profiles<\/span>What four measurements reveal that your scale ignores<\/h2>\n<p>Three profiles, one tape measure, and the same math as this page. No labels: measurements only. The numbers come from the calculator above, you can reproduce them by entering the same parameters.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>The false average<\/h4>\n    <div class=\"meta\">Woman &middot; 31 &middot; 64&nbsp;kg &middot; 5ft5 &middot; neck 32 &middot; waist 72 &middot; hips 98<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Measured fat mass<\/span><span class=\"v\">&asymp;&nbsp;27.2&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Lean mass<\/span><span class=\"v\">&asymp;&nbsp;46.6&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR on lean mass<\/span><span class=\"v\">&asymp;&nbsp;1,377 kcal\/day<\/span><\/div>\n      <div class=\"rw\"><span>Weight-only formula<\/span><span class=\"v\">&asymp;&nbsp;1,365 kcal\/day<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">She sits exactly on the population average: the weight-only formula lands almost right, a 12&nbsp;kcal gap. <b style=\"color:var(--pink)\">It is the only case where the approximation costs nothing: you still need to know it, hence measure.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>The underestimated athlete<\/h4>\n    <div class=\"meta\">Man &middot; 29 &middot; 75&nbsp;kg &middot; 5ft10 &middot; neck 38 &middot; waist 80<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Measured fat mass<\/span><span class=\"v\">&asymp;&nbsp;12.4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Lean mass<\/span><span class=\"v\">&asymp;&nbsp;65.7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR on lean mass<\/span><span class=\"v\">&asymp;&nbsp;1,790 kcal\/day<\/span><\/div>\n      <div class=\"rw\"><span>Weight-only formula<\/span><span class=\"v\">&asymp;&nbsp;1,666 kcal\/day<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Muscular, he burns <b style=\"color:var(--pink)\">124&nbsp;kcal\/day more<\/b> than a weight-only formula grants him: his theoretical &laquo;&nbsp;maintenance&nbsp;&raquo; makes him cut without knowing it, then stall when building muscle.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>The plateau explained<\/h4>\n    <div class=\"meta\">Man &middot; 42 &middot; 92&nbsp;kg &middot; 5ft11 &middot; neck 42 &middot; waist 104<\/div>\n    <div class=\"rows\">\n      <div class=\"rw lean\"><span>Measured fat mass<\/span><span class=\"v\">&asymp;&nbsp;26.4&nbsp;%<\/span><\/div>\n      <div class=\"rw\"><span>Lean mass<\/span><span class=\"v\">&asymp;&nbsp;67.7&nbsp;kg<\/span><\/div>\n      <div class=\"rw\"><span>BMR on lean mass<\/span><span class=\"v\">&asymp;&nbsp;1,833 kcal\/day<\/span><\/div>\n      <div class=\"rw\"><span>Weight-only formula<\/span><span class=\"v\">&asymp;&nbsp;1,960 kcal\/day<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">The weight-only formula overestimates him by <b style=\"color:var(--pink)\">127&nbsp;kcal\/day<\/b> : his &laquo;&nbsp;300 deficit&nbsp;&raquo; is really only 170. The unexplained plateau of his last diet was written in this line.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Methods compared<\/span>From tape to DEXA: what every body fat measurement is worth<\/h2>\n\n<div class=\"body\">\n<p>Not all methods share the same cost, precision or repeatability. The right choice depends on what you are steering: one absolute number once in your life, or a trend every week:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. Tape measure (US Navy)<\/h4>\n    <div class=\"meta\">Free &middot; &plusmn;3-4 points &middot; at home<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">This page's method. Its strength: infinitely repeatable, zero equipment. Its limit: sensitive to tape placement and time of day. Perfect for the monthly trend.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. Impedance scale<\/h4>\n    <div class=\"meta\">Accessible &middot; variable precision &middot; at home<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Sends a micro-current and derives fat from resistance. Problem: your hydration changes the result from one day to the next, sometimes by 5 points between morning and evening (Moon 2008). Trend yes, number no.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. DEXA \/ hydrostatic weighing<\/h4>\n    <div class=\"meta\">By appointment &middot; the reference &middot; in a center<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">The reference methods of the literature (Siri 1961 for density models). Precise, but occasional and constraining: nobody gets a weekly DEXA. Useful to recalibrate your home measurement once in a while.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. BodyScan AI (Lean)<\/h4>\n    <div class=\"meta\">One photo &middot; 5 seconds &middot; in the app<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">The AI estimates your composition from a photo: no tape to place, no hydration to skew it, and the measurement feeds your BMR in the app directly, recalculated continuously. Measuring becomes a reflex, not a chore.<\/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\">From body fat to BMR<\/b>In Lean, your measurement feeds your BMR: the complete chain, no re-entry.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Whatever your method, the rule is the same: <b>same conditions, same time, and steer on the trend<\/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\">The BodyScan makes it automatic<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Myth vs reality<\/span>BMI does not measure your body composition<\/h2>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">1832<\/div><div class=\"kl\">the origin of BMI: a statistician's formula (Quetelet) to describe populations, not individuals<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">same<span>BMI<\/span><\/div><div class=\"kl\">a lean rugby player and a sedentary person can share the same BMI with 15 points of body fat between them<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">&asymp;&plusmn;4<span>pts<\/span><\/div><div class=\"kl\">the typical error of BMI&rarr;body fat formulas like Deurenberg (1991): useful for populations, crude for you<\/div><\/div>\n<\/div>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">The myth<\/div>\n    <h4>&laquo;&nbsp;My BMI is normal, so my composition is fine&nbsp;&raquo;<\/h4>\n    <p>BMI (weight \/ height&sup2;) was invented by a 19th-century statistician to describe whole populations. It sees neither muscle, nor fat, nor their distribution: a muscular athlete lands &laquo;&nbsp;overweight&nbsp;&raquo;, a slim sedentary person lands &laquo;&nbsp;normal&nbsp;&raquo; with high body fat, the famous &laquo;&nbsp;skinny fat&nbsp;&raquo; profile. Formulas deriving body fat from BMI (Deurenberg 1991) inherit the problem: correct on average, wrong for individuals who deviate from the average, which is precisely athletes.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">The measured reality<\/div>\n    <h4>Composition is measured, not derived from weight<\/h4>\n    <p>This page's tape measures where fat actually shows: the ratio between your neck, your waist and your hips. That is the whole difference: two people with the same BMI get different results because their bodies ARE different. Friedl's military validation (1997) is exactly about that: classifying individuals correctly, not populations.<\/p>\n    <p>The practical consequence: never steer a cut or a muscle gain phase on BMI or weight alone. Weight mixes muscle, fat, water and glycogen; body fat separates them. It is what tells you whether the kilos you lost were fat or muscle, and your lean mass is what sets your real calorie budget.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>The practical consequence: measure your body fat every 3 to 4 weeks in the same conditions, follow the trend, and let your BMR recalculate on your lean mass at every measurement. That is the whole difference between a theoretical calorie target and one that actually matches you.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  To place your BMR within your full expenditure: the <a href=\"\/en\/calculateur-tdee\/\">TDEE calculator<\/a> and the guide on <a href=\"\/en\/calculer-vraie-depense-calorique\/\">calculate your real calorie expenditure<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Everything you wonder about body fat<\/h2>\n<details class=\"faq\"><summary>How do you calculate your body fat percentage&nbsp;?<\/summary><div class=\"faq-body\"><p>The most accessible method is the circumference method (US Navy): with a tape measure, measure your neck and waist (plus hips for women), enter your height, and the formula estimates your body fat percentage. That is this page's calculator. The alternatives: impedance scale (hydration-sensitive), skinfold calipers (operator-dependent), DEXA (reference, in a center) and Lean's BodyScan AI from a photo.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>What is a good body fat percentage&nbsp;?<\/summary><div class=\"faq-body\"><p>The usual ranges: about 10 to 20&nbsp;% for a man and 18 to 28&nbsp;% for a woman in good shape, a little more with age. Below 6&nbsp;% (men) or 14&nbsp;% (women), you approach essential fat: not a zone to target long term. Above all, remember the trend matters more than the number: the error margin of accessible methods exceeds the difference between &laquo;&nbsp;good&nbsp;&raquo; and &laquo;&nbsp;very good&nbsp;&raquo;.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Is the US Navy method reliable&nbsp;?<\/summary><div class=\"faq-body\"><p>It was validated on large military cohorts: typical precision of &plusmn;3 to 4 points against reference methods (Friedl 1997), with possible bias at the extremes (very muscular, very high percentages). That is enough to locate your zone and follow a monthly trend, not to compare two measurements within 1 point. Always measure in the same conditions: fasted, tape horizontal, without squeezing.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Why does my percentage change from day to day on my scale&nbsp;?<\/summary><div class=\"faq-body\"><p>Impedance scales derive your composition from your body's electrical resistance, which varies with hydration, meals, and yesterday's training. From one morning to the next, the same body can show several points of difference (Moon 2008). It is not your fat that changed, it is your water. Weigh and measure yourself at the same time of day, and read the weekly average, never the daily number.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>What is the difference between BMI and body fat&nbsp;?<\/summary><div class=\"faq-body\"><p>BMI divides your weight by your height squared: it cannot tell a kilo of muscle from a kilo of fat. Two people with the same BMI can be 15 points of body fat apart. Body fat percentage measures actual composition: it is what matters for your metabolism, your metabolic health and your physique. BMI remains a population statistics tool, not an individual steering tool.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Why does body fat change my basal metabolic rate&nbsp;?<\/summary><div class=\"faq-body\"><p>Because metabolism is carried by lean mass: muscles, organs, bones. At 80&nbsp;kg, a body at 10&nbsp;% fat has 72&nbsp;kg of active tissue; at 30&nbsp;%, only 56&nbsp;kg. Result: about 400&nbsp;kcal\/day of BMR gap between the two, invisible to a weight-only formula. That is this page's whole point: measure your fat to know your lean mass, hence your real calorie budget.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>How often should you measure body fat&nbsp;?<\/summary><div class=\"faq-body\"><p>Every 3 to 4 weeks is enough with a tape: fat evolves slowly, and measuring more often mostly measures noise. The exception: an automatic, effortless measurement like the BodyScan photo, which allows closer trend tracking without obsessing over the number. In any case: same conditions, same time, and decisions made on the trend of 2 to 3 measurements.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Can you lose fat without losing muscle&nbsp;?<\/summary><div class=\"faq-body\"><p>Yes, that is the whole point of a successful cut: moderate deficit, sufficient protein intake and strength training. The only way to verify it works is precisely to track your body fat on top of your weight: if weight drops and lean mass holds, you are losing fat; if both plunge, your deficit is too aggressive. Weight alone cannot tell the difference.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Does exercise turn fat into muscle&nbsp;?<\/summary><div class=\"faq-body\"><p>No: they are two different tissues, one never becomes the other. However, you can lose fat and gain muscle over the same period (body recomposition), especially early on. On the scale, your weight can then stall while your body changes completely: yet another situation where only body fat tracking shows the real progress.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Does this calculator give an exact measurement of my body fat&nbsp;?<\/summary><div class=\"faq-body\"><p>No. It applies a validated equation (US Navy) to your circumferences, with a typical precision of &plusmn;3 to 4 points: a solid estimate to locate yourself and follow your trend, not a truth to the decimal. No accessible method does better in absolute terms; what matters is consistent measurement conditions. And in any case, neither this page nor the app replaces medical advice.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Scientific sources<\/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>Your body fat, measured in one photo<\/h3>\n  <p>BodyScan AI from a single photo, BMR continuously recalculated on your lean mass, calorie balance that follows your real composition. The data your scale ignores, finally measured. Free download, 7-day trial on the annual plan.<\/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. 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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_LANG = (((document.documentElement && document.documentElement.lang)||'').toLowerCase().indexOf('en')===0 || location.pathname.indexOf('\/en\/')===0) ? 'en' : 'fr';\n  function T(fr,en){return LEAN_LANG==='en'?en:fr;}\n  function byId(id){ return document.getElementById(id); }\n  function getSex(){\n    var r = document.querySelector('input[name=sex]:checked');\n    return r ? r.value : 'M';\n  }\n  function fmt(n){ return LEAN_LANG==='en' ? Math.round(n).toLocaleString('en-US') : Math.round(n).toLocaleString('fr-FR'); }\n  function fmt3(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:3, maximumFractionDigits:3}); }\n  function fmt1(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:1, maximumFractionDigits:1}); }\n  function clamp(v, lo, hi){ return Math.max(lo, Math.min(hi, v)); }\n  function compute(){\n    var sex = getSex();\n    var age = parseFloat(byId('cAge').value) || 0;\n    var w = parseFloat(byId('cWeight').value) || 0;\n    var h = parseFloat(byId('cHeight').value) || 0;\n    var neck = parseFloat(byId('cNeck').value) || 0;\n    var waist = parseFloat(byId('cWaist').value) || 0;\n    var hips = parseFloat(byId('cHips').value) || 0;\n    byId('rowHips').style.display = (sex === 'F') ? '' : 'none';\n    byId('waistHint').textContent = (sex === 'F')\n      ? T('Femme : au point le plus \u00e9troit de la taille, en fin d\\u2019expiration normale.','Women: at the narrowest point of the waist, at the end of a normal exhale.')\n      : T('Homme : au niveau du nombril, en fin d\\u2019expiration normale, ventre rel\u00e2ch\u00e9.','Men: at navel level, at the end of a normal exhale, belly relaxed.');\n    byId('bfHint').textContent = (sex === 'F')\n      ? T('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.','Typical ranges for a woman: 18 to 32%. Sex changes the formula (different fat distribution); age helps you read the ranges.')\n      : T('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.','Typical ranges for a man: 10 to 25%. 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;\">Read also<\/p>\n<ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\">\n<li><a href=\"\/en\/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;\">Basal metabolic rate: the most precise formula <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Why your BMR is computed on your lean mass, not your weight.<\/span><\/a><\/li>\n<li><a href=\"\/en\/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;\">Full TDEE calculator: BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Your expenditure broken down, brick by brick, on your real body fat.<\/span><\/a><\/li>\n<li><a href=\"\/en\/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;\">How to calculate your real calorie expenditure <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">The complete guide, from BMR to metabolic adaptation, with the traps of the market.<\/span><\/a><\/li>\n<li><a href=\"\/en\/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;\">Metabolic adaptation calculator <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Has your BMR slowed down, and by how much: coefficient 100 to 0 %.<\/span><\/a><\/li>\n<li><a href=\"\/en\/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;\">Total daily energy expenditure: the complete guide <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Everything that makes up your kcal\/day, from BMR to the thermic effect of food.<\/span><\/a><\/li>\n<\/ul>\n<\/aside>","protected":false},"excerpt":{"rendered":"<p>Calcule ton pourcentage de masse grasse au ruban (m\u00e9thode US Navy valid\u00e9e), puis ta masse maigre et ton BMR r\u00e9el. Des mesures, z\u00e9ro case \u00e0 cocher.<\/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>Calculateur de masse grasse : ton vrai pourcentage de gras - 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\/en\/calculateur-masse-grasse\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Calculateur de masse grasse : ton vrai pourcentage de gras - Lean\" \/>\n<meta property=\"og:description\" content=\"Calcule ton pourcentage de masse grasse au ruban (m\u00e9thode US Navy valid\u00e9e), puis ta masse maigre et ton BMR r\u00e9el. 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