{"id":1543,"date":"2026-05-26T20:50:10","date_gmt":"2026-05-26T20:50:10","guid":{"rendered":"https:\/\/lean-app.com\/?p=1543"},"modified":"2026-09-05T10:39:35","modified_gmt":"2026-09-05T10:39:35","slug":"calcul-metabolisme-de-base","status":"publish","type":"post","link":"https:\/\/lean-app.com\/fi\/calcul-metabolisme-de-base\/","title":{"rendered":"Perusaineenvaihdunnan laskenta: tarkin kaava (Harris-Benedict, Mifflin-St Jeor, Lean)"},"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-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px}\n#lvm-shell .calc-card.lean{border-left:4px solid var(--pink);background:linear-gradient(90deg,var(--pink-soft),#fff 30%)}\n#lvm-shell .calc-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 .calc-card .formula{font-size:13px;color:var(--dim);margin-top:2px}\n#lvm-shell .calc-card .result{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.025em;margin-top:8px;color:var(--ink);line-height:1}\n#lvm-shell .calc-card .result .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-card.lean .result{color:var(--pink)}\n#lvm-shell .calc-delta{margin-top:10px;padding:12px 14px;background:#fff;border:1px dashed var(--pink);border-radius:10px;font-size:14px;color:var(--ink)}\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\/* Comparator cards (3 formulas pros\/cons) *\/\n#lvm-shell .compar-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:24px 0}\n#lvm-shell .compar-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px}\n#lvm-shell .compar-card.lean{border-left:4px solid var(--pink)}\n#lvm-shell .compar-card h4{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .compar-card .year{font-size:12px;color:var(--muted);font-family:var(--font-mono);margin-bottom:14px;letter-spacing:.04em}\n#lvm-shell .compar-card .desc{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 12px}\n#lvm-shell .compar-card .pros,#lvm-shell .compar-card .cons{margin:6px 0;font-size:13px;line-height:1.5}\n#lvm-shell .compar-card .pros{color:var(--green)}\n#lvm-shell .compar-card .cons{color:var(--red)}\n#lvm-shell .compar-card .pros b,#lvm-shell .compar-card .cons b{display:inline-block;width:18px}\n\n\/* Pyramide section *\/\n#lvm-shell .pyramide-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .pyramide-illust img{width:100%;border-radius:18px;box-shadow:0 12px 32px rgba(20,20,40,.12)}\n#lvm-shell .pyramide-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .pyramide-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:\"\u2212\"}\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\/* BodyScan illust *\/\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\/* Body copy paragraphs *\/\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<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1543 #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-1543 #lvm-shell .wrap,\nbody.postid-1543 #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-1543 #lvm-shell .wrap,\n  body.postid-1543 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1543 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1543 #lvm-shell *{max-width:100%}\nbody.postid-1543 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1543 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1543 #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-1543 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1543 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1543 #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-1543 #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-1543 #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-1543 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1543 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1543 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1543 #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-1543 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1543 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1543 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1543 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1543 #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-1543 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1543 #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-1543 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1543 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1543 #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-1543 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1543 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1543 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1543 #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-1543 #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-1543 #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-1543 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1543 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1543 #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-1543 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1543 #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-1543 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1543 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1543 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1543 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1543 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1543 #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-1543 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1543 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1543 #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-1543 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1543 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1543 #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-1543 #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-1543 #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-1543 #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-1543 #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-1543 #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-1543 #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-1543 #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-1543 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1543 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1543 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1543 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1543 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1543 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1543 #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-1543 #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-1543 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1543 #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-1543 #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-1543 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1543 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1543 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1543 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1543 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1543 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1543 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers \u2014 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\/fi\/\"><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\/fi\/\">Etusivu<\/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-bmr\" 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-bmr\" 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\/fi\/\">Etusivu<\/a> &nbsp;\/&nbsp; Perusaineenvaihdunnan laskenta<\/div>\n  <div class=\"eyebrow\">Laskuri &middot; Aineenvaihdunnan tiede<\/div>\n  <h1 id=\"title\">Perusaineenvaihdunnan laskenta.\n    <span class=\"alt\">Tarkin kaava: Harris-Benedict 1919, Mifflin-St Jeor 1990 vai Lean rasvaprosentilla?<\/span>\n  <\/h1>\n  <p class=\"dek\">BMR:si on kaloritavoitteesi perusta. Ilman todellista rasvaprosenttia se voi olla 200\u2013500&nbsp;kcal\/p\u00e4iv\u00e4 v\u00e4\u00e4rin. Vertaa 3 kaavaa, n\u00e4e totuus.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-tiimi<\/strong> &middot; Lukuaika 11&nbsp;min &middot; P\u00e4ivitetty 26.5.2026<\/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-bmr\" 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-bmr\" 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\">Ilmainen lataus<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      BMR (perusaineenvaihdunta) on energia, jonka kehosi polttaa levossa. Harris-Benedictin kaava on vuodelta 1919, Mifflin-St Jeorin vuodelta 1990: kumpikaan ei k\u00e4yt\u00e4 rasvaprosenttiasi. Lean nojaa AI BodyScanilla mitattuun todelliseen rasvattomaan massaasi, koska se m\u00e4\u00e4r\u00e4\u00e4 kulutuksesi.\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>Interaktiivinen demo<\/small>Napauta n\u00e4ytt\u00f6\u00e4 tutkiaksesi sovellusta<\/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>Interaktiivinen demo<\/small>Napauta n\u00e4ytt\u00f6\u00e4<br>tutkiaksesi sovellusta<\/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=\"Lean-sovelluksen esikatselu TDEE-erittelyll\u00e4\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Takaisin\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-esikatselu, Kulutus-v\u00e4lilehti\"><\/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-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-tiedot\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Yhteenveto-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorit-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Kulutus-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategia-v\u00e4lilehti\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navigoi Lean-sovelluksessa\">\n          <button data-tab=\"bilan\"     type=\"button\">Yhteenveto<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorit<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Kulutus<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Pikavastaus<\/div>\n    <p>Tarkin kaava perusaineenvaihduntasi laskemiseen on se, joka nojaa <b>todellinen rasvaton massa<\/b>, ei tilastollisiin keskiarvoihin. Harris-Benedict 1919 ja Mifflin-St Jeor 1990 arvioivat BMR:si painosta, pituudesta, i\u00e4st\u00e4 ja sukupuolesta: virhemarginaali 200\u2013500&nbsp;kcal\/p\u00e4iv\u00e4 lihaksikkailla tai v\u00e4h\u00e4n liikkuvilla profiileilla. Lean mittaa rasvaprosenttisi AI BodyScanilla ja soveltaa sitten <b>patentoitu oma malli<\/b> , joka laskee BMR:si todellisesta rasvattomasta massasta ja kalibroituu uudelleen, kun kehonkoostumuksesi muuttuu.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Laskuri<\/span>Vertaa 3 kaavaa omilla luvuillasi<\/h2>\n<p>Sy\u00f6t\u00e4 tietosi alla. Kolme laskentaa p\u00e4ivittyv\u00e4t suorana. Ero Mifflin-St Jeorin ja Lean-l\u00e4hestymistavan (BMR rasvattomasta massasta) v\u00e4lill\u00e4 n\u00e4ytt\u00e4\u00e4 virheen, jonka kerryt\u00e4t joka p\u00e4iv\u00e4, jos k\u00e4yt\u00e4t klassista laskuria.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>Parametrisi<\/h3>\n    <div class=\"calc-row\">\n      <label>Sukupuoli<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Mies<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Nainen<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Ik\u00e4 (vuotta)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"32\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Paino (kg)<\/label><input id=\"cWeight\" type=\"number\" min=\"35\" max=\"200\" step=\"0.1\" value=\"78\"><\/div>\n    <div class=\"calc-row\"><label for=\"cHeight\">Pituus (cm)<\/label><input id=\"cHeight\" type=\"number\" min=\"130\" max=\"220\" value=\"180\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cBf\">Rasvaprosentti <span class=\"bf-val\" id=\"bfVal\">15&thinsp;%<\/span><\/label>\n      <div class=\"calc-bf\"><input id=\"cBf\" type=\"range\" min=\"5\" max=\"40\" step=\"1\" value=\"15\"><\/div>\n    <\/div>\n    <div class=\"calc-note\">Etk\u00f6 tied\u00e4 rasvaprosenttiasi? Lean laskee sen kuvasta (AI BodyScan, 5 sekuntia) DEXA-tason tarkkuudella.<\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-card\">\n      <div class=\"label\">Harris-Benedict<\/div>\n      <div class=\"formula\">Vuoden 1919 kaava, ilman rasvaprosenttia<\/div>\n      <div class=\"result\"><span id=\"rHB\">0<\/span><span class=\"unit\">kcal\/p\u00e4iv\u00e4<\/span><\/div>\n    <\/div>\n    <div class=\"calc-card\">\n      <div class=\"label\">Mifflin-St Jeor<\/div>\n      <div class=\"formula\">Vuoden 1990 kaava, ilman rasvaprosenttia<\/div>\n      <div class=\"result\"><span id=\"rMSJ\">0<\/span><span class=\"unit\">kcal\/p\u00e4iv\u00e4<\/span><\/div>\n    <\/div>\n    <div class=\"calc-card lean\">\n      <div class=\"label\">Lean-l\u00e4hestymistapa<\/div>\n      <div class=\"formula\">BMR todellisesta rasvattomasta massastasi<\/div>\n      <div class=\"result\"><span id=\"rLEAN\">0<\/span><span class=\"unit\">kcal\/p\u00e4iv\u00e4<\/span><\/div>\n    <\/div>\n    <div class=\"calc-delta\" id=\"calcDelta\">\n      Ero Lean vs Mifflin-St Jeor: <b id=\"deltaVal\">0 kcal\/p\u00e4iv\u00e4<\/b>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Yll\u00e4 oleva laskuri k\u00e4ytt\u00e4\u00e4 julkista l\u00e4hestymistapaa BMR:n arvioimiseen rasvattomasta massasta. <b>Leanin patentoitu oma malli menee pidemm\u00e4lle:<\/b> se sis\u00e4llytt\u00e4\u00e4 metabolisen adaptaation vajeessa, hienojakoisen koostumuksen rasvaton massa \/ vesi \/ glykogeeni, ja kalibroituu uudelleen viikko viikolta. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-bmr\">Testaa profiilillasi Leanissa.<\/a>\n\n  <div class=\"stores-inline\" style=\"display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap;margin-top:14px\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podom%C3%A8tre\/id6738668646?utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=calc-bmr\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" width=\"413\" height=\"122\" style=\"height:44px;width:auto;display:block\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=calc-bmr\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" style=\"height:44px;width:auto;display:block\"><\/a><\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Puute<\/span>Ilman rasvaprosenttia BMR:si nojaa 35 vuotta vanhoihin keskiarvoihin<\/h2>\n\n<div class=\"statement\"><p>Harris-Benedict laittaa kaikki miehet <b>80&nbsp;kg \/ 180&nbsp;cm \/ 32&nbsp;v<\/b> samaan laatikkoon. Kiinte\u00e4 10&nbsp;%:n rasvaprosentilla ja v\u00e4h\u00e4n liikkuva 28&nbsp;%:lla saavat <span class=\"accent\">saman luvun<\/span>.<\/p><\/div>\n\n<div class=\"body\">\n<p>BMR mittaa energian, jonka kehosi polttaa levossa py\u00f6ritt\u00e4\u00e4kseen syd\u00e4nt\u00e4si, aivojasi, munuaisiasi ja yll\u00e4pit\u00e4\u00e4kseen l\u00e4mp\u00f6tilaasi. M\u00e4\u00e4r\u00e4 riippuu l\u00e4hes kokonaan <b>rasvaton massa<\/b> (elimet + lihakset). Rasvamassa taas on metabolisesti l\u00e4hes inertti: 1 kg rasvaa polttaa noin 4 kcal\/p\u00e4iv\u00e4, vastaan 13 kcal\/p\u00e4iv\u00e4 1 kg:lle lihasta.<\/p>\n<p>Harris-Benedict (1919) ja Mifflin-St Jeor (1990) eiv\u00e4t tied\u00e4, miss\u00e4 rasvaton massasi p\u00e4\u00e4ttyy ja rasvasi alkaa. Ne arvioivat kokonaispainosta, pituudesta, i\u00e4st\u00e4 ja sukupuolesta, ensimm\u00e4isen kohdalla vuosisadan takaisella referenssiv\u00e4est\u00f6ll\u00e4, toisen kohdalla 35 vuoden takaisella. Tulos: lihaksikas profiili 12&nbsp;%:n rasvaprosentilla saa saman BMR:n kuin v\u00e4h\u00e4n liikkuva profiili 28&nbsp;%:lla, vaikka h\u00e4nen rasvaton massansa polttaa 200\u2013400&nbsp;kcal enemm\u00e4n joka p\u00e4iv\u00e4.<\/p>\n<p>Painonpudotustavoitteessa t\u00e4m\u00e4 ero kumuloituu. MyFitnessPalin n\u00e4ytt\u00e4m\u00e4 \u00ab500&nbsp;kcal\/p\u00e4iv\u00e4n kalorivajeesi\u00bb voi muuttua todelliseksi 200&nbsp;kcal\/p\u00e4iv\u00e4n vajeeksi (paikallaan polkeminen) tai 800&nbsp;kcal\/p\u00e4iv\u00e4n vajeeksi (lihaskato). Et tied\u00e4, kummassa tapauksessa olet, koska l\u00e4ht\u00f6-BMR:si oli v\u00e4\u00e4rin.<\/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:200px\">\n  <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\"><\/div><\/div>\n  <div class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>Todellinen rasvaprosentti<\/b>Kuva, 5 sekuntia. Lean laskee BMR:si uudelleen rasvattomasta massastasi, ei keskiarvoista.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Tieteellinen l\u00e4hestymistapa tarkemman BMR:n laskemiseen, kun rasvaprosentti on tiedossa, perustuu <b>rasvaton massa (FFM)<\/b>. T\u00e4m\u00e4n yht\u00e4l\u00f6n julkinen muoto, siteerattu 1980-luvulta l\u00e4htien fysiologisessa kirjallisuudessa, antaa noin 370 + 21,6 &times; rasvaton massa (kg). Sit\u00e4 yll\u00e4 oleva laskurimme tekee. <b>Leanin patentoitu oma malli<\/b> menee pidemm\u00e4lle: se sis\u00e4llytt\u00e4\u00e4 metabolisen adaptaation funktion, kehon veden, glykogeenin ja kalibroituu uudelleen AI BodyScanin kautta jokaisessa punnituksessa.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  Haluatko todellisen BMR:si todellisesta rasvaprosentistasi, ilman paperikaavaa? <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-bmr\">Asenna Lean<\/a> ja tee ensimm\u00e4inen BodyScanisi 5 sekunnissa.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Kolme profiilia, kolme totuutta<\/span>Mifflin vastaan Lean -ero kasvaa koostumuksesi my\u00f6t\u00e4<\/h2>\n<p>Kolme eri kehotyypin miest\u00e4, vertaillut laskennat. Luvut tulevat kolmesta kaavasta 80&nbsp;kg \/ 180&nbsp;cm \/ 32&nbsp;v, s\u00e4\u00e4t\u00e4en vain rasvaprosenttia. N\u00e4et heti, miss\u00e4 Harris-Benedict ja Mifflin-St Jeor erehtyv\u00e4t.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Urheilijaprofiili<\/h4>\n    <div class=\"meta\">32 v &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 12&nbsp;% rasvaprosentti &middot; rasvaton massa 70,4&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-l\u00e4hestymistapa (rasvaton massa)<\/span><span class=\"v\">1&thinsp;873 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Ero Lean vs Mifflin: <b style=\"color:var(--pink)\">+93 kcal\/p\u00e4iv\u00e4<\/b>. 90 p\u00e4iv\u00e4ss\u00e4 se on l\u00e4hes 10&thinsp;000 kcal klassisten kaavojen \u00abunohtamana\u00bb.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Keskivertoprofiili<\/h4>\n    <div class=\"meta\">32 v &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 20&nbsp;% rasvaprosentti &middot; rasvaton massa 64&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-l\u00e4hestymistapa (rasvaton massa)<\/span><span class=\"v\">1&thinsp;735 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Ero Lean vs Mifflin: <b style=\"color:var(--pink)\">&minus;45 kcal\/p\u00e4iv\u00e4<\/b>. T\u00e4ll\u00e4 keskivertoprofiililla Mifflin osuu hyvin (se on profiili, jolla kaava kalibroitiin 1990). Jokainen poikkeama t\u00e4st\u00e4 profiilista kasvattaa virhett\u00e4.<\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>V\u00e4h\u00e4n liikkuva profiili<\/h4>\n    <div class=\"meta\">32 v &middot; 80&nbsp;kg &middot; 180&nbsp;cm &middot; 28&nbsp;% rasvaprosentti &middot; rasvaton massa 57,6&nbsp;kg<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Harris-Benedict 1919<\/span><span class=\"v\">1&thinsp;855 kcal<\/span><\/div>\n      <div class=\"rw\"><span>Mifflin-St Jeor 1990<\/span><span class=\"v\">1&thinsp;780 kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-l\u00e4hestymistapa (rasvaton massa)<\/span><span class=\"v\">1&thinsp;597 kcal<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Ero Lean vs Mifflin: <b style=\"color:var(--pink)\">&minus;183 kcal\/p\u00e4iv\u00e4<\/b>. Mifflin yliarvioi h\u00e4nen BMR:ns\u00e4 166 kcal. Juuri siksi niin monet ylipainoiset profiilit \u00abeiv\u00e4t laihdu lasketusta vajeesta huolimatta\u00bb.<\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Rehellinen vertailu<\/span>Kunkin kaavan vahvuudet ja rajoitukset<\/h2>\n<p>Mik\u00e4\u00e4n kaava ei ole hy\u00f6dyt\u00f6n. Jokainen vastaa k\u00e4ytt\u00f6tapaukseen. Todellinen kysymys: osaatko mitata rasvaprosenttisi? Jos kyll\u00e4, et en\u00e4\u00e4 tarvitse Mifflini\u00e4 tai Harris-Benedicti\u00e4.<\/p>\n\n<div class=\"compar-grid\">\n  <div class=\"compar-card\">\n    <h4>Harris-Benedict<\/h4>\n    <div class=\"year\">Tarkistettu 1919 &middot; perustuu 136 koehenkil\u00f6\u00f6n<\/div>\n    <p class=\"desc\">Suuri esi\u00e4iti. Yh\u00e4 oletuksena k\u00e4yt\u00f6ss\u00e4 monissa online-laskureissa, mukaan lukien kuluttajasovellukset. Yliarvioi systemaattisesti BMR:n 5\u201310&nbsp;% nykyv\u00e4est\u00f6ill\u00e4.<\/p>\n    <p class=\"pros\"><b>+<\/b> Siteerattu kaikkialla, vertailukelpoinen laskurista toiseen.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Vuosisadan takainen referenssiv\u00e4est\u00f6. Yliarvioi 100\u2013200 kcal\/p\u00e4iv\u00e4 useimmat profiilit.<\/p>\n  <\/div>\n\n  <div class=\"compar-card\">\n    <h4>Mifflin-St Jeor<\/h4>\n    <div class=\"year\">1990 &middot; perustuu 498 koehenkil\u00f6\u00f6n<\/div>\n    <p class=\"desc\">Kalibroitu uudelleen amerikkalaisella v\u00e4est\u00f6ll\u00e4 80-luvun lopussa. Kliinisten ravitsemusterapeuttien pit\u00e4m\u00e4 \u00abmodernina referenssin\u00e4 ilman rasvaprosenttia\u00bb. Tarkka <b>&plusmn;10&nbsp;%<\/b> keskivertoprofiililla, paljon v\u00e4hemm\u00e4n \u00e4\u00e4rip\u00e4iss\u00e4.<\/p>\n    <p class=\"pros\"><b>+<\/b> Tarkempi kuin Harris-Benedict 70&nbsp;%:lla profiileista.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Ei ota rasvaprosenttia huomioon. Virhemarginaali 200\u2013400 kcal lihaksikkailla tai v\u00e4h\u00e4n liikkuvilla profiileilla.<\/p>\n  <\/div>\n\n  <div class=\"compar-card lean\">\n    <h4>Leanin patentoitu oma malli<\/h4>\n    <div class=\"year\">2024 &middot; kalibroitu 10&thinsp;000+ k\u00e4ytt\u00e4j\u00e4ll\u00e4 AI BodyScanilla<\/div>\n    <p class=\"desc\">Perustuu <b>todellinen rasvaton massa<\/b> mitattuna AI BodyScanilla, sis\u00e4llytt\u00e4\u00e4 metabolisen adaptaation vajeessa (Lean-k\u00e4yt\u00e4nt\u00f6 100&rarr;0&nbsp;%), kalibroitu uudelleen viikko viikolta punnituksesi ja koostumuksesi muutoksen kautta. Ei paperikaava: malli, joka oppii datastasi.<\/p>\n    <p class=\"pros\"><b>+<\/b> Tarkkuus &plusmn;3&nbsp;% lihaksikkailla, v\u00e4h\u00e4n liikkuvilla, vaihdevuosi-ik\u00e4isill\u00e4 ja synnytyksen j\u00e4lkeisill\u00e4 profiileilla. Jatkuva uudelleenkalibrointi.<\/p>\n    <p class=\"cons\"><b>&minus;<\/b> Vaatii alustavan AI BodyScanin (5 sekuntia, ilmainen Leanissa) ja s\u00e4\u00e4nn\u00f6llisen painotiedon.<\/p>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Perusta<\/span>Miksi tarkka BMR on kaiken muun perusta<\/h2>\n\n<div class=\"body\">\n<p>BMR ei ole erillinen luku. Se on aineenvaihdunnan kanonisen yht\u00e4l\u00f6n <b>ensimm\u00e4inen rakennuspalikka<\/b> : <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. Metabolinen adaptaatio tulee sitten BMR:n kertoimena vajeessa (Lean-k\u00e4yt\u00e4nt\u00f6: 100&nbsp;% = optimaalinen, 90&nbsp;% = 10&nbsp;% kertynytt\u00e4 adaptaatiota).<\/p>\n<p>Jos l\u00e4ht\u00f6-BMR:si on 150&nbsp;kcal v\u00e4\u00e4rin, TDEE:si on 150&nbsp;kcal v\u00e4\u00e4rin. Painonpudotustavoitteesi on 150&nbsp;kcal v\u00e4\u00e4rin. Saantisuunnitelmasi on 150&nbsp;kcal v\u00e4\u00e4rin. Siksi Lean kielt\u00e4ytyy antamasta sinulle tavoitetta ennen kuin BodyScanisi on tehty. Ei oikusta: johdonmukaisuudesta.<\/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:140px\">\n  <div class=\"mini-phone\" style=\"max-width:140px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR dans l'application Lean affichant la d\u00e9pense au repos calcul\u00e9e sur la masse maigre r\u00e9elle\" width=\"512\" height=\"1024\" style=\"width:100%;height:100%;object-fit:cover;display:block\" loading=\"lazy\" decoding=\"async\"><\/div><\/div>\n  <div class=\"bodyscan-cap\" style=\"max-width:160px;font-size:13px;line-height:1.5;text-align:center\"><b>BMR &middot; Perusaineenvaihdunta<\/b>Laskettu rasvattomasta massastasi AI BodyScanilla. Kalibroitu uudelleen jokaisessa punnituksessa.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Ymm\u00e4rr\u00e4 TDEE:n 4 rakennuspalikkaa yksityiskohtaisesti: <a href=\"https:\/\/lean-app.com\/fi\/calculateur-tdee\/\">t\u00e4ydellinen TDEE-laskuri<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/fi\/eat\/\">EAT (urheilu)<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/fi\/neat-depense-non-sportive\/\">NEAT (askeleet)<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/fi\/effet-thermique-des-aliments\/\">TEF (ruoansulatus)<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; UKK<\/span>Kaikki, mit\u00e4 mietit perusaineenvaihdunnan laskennasta<\/h2>\n<details class=\"faq\"><summary>Mik\u00e4 on tarkin kaava perusaineenvaihdunnan laskemiseen?<\/summary><div class=\"faq-body\"><p>Tarkin kaava on se, joka nojaa todelliseen rasvattomaan massaan, ei arvioihin painosta, pituudesta, i\u00e4st\u00e4 ja sukupuolesta. Ilman rasvaprosenttia Mifflin-St Jeor 1990 on yh\u00e4 paras likiarvo (\u00b110 % 70 %:lla profiileista). Rasvaprosentilla rasvattomaan massaan perustuva yht\u00e4l\u00f6 tyyliin 370 + 21,6 \u00d7 FFM on tarkempi. Leanin patentoitu oma malli tarkentaa viel\u00e4 sis\u00e4llytt\u00e4m\u00e4ll\u00e4 metabolisen adaptaation ja jatkuvan uudelleenkalibroinnin.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Miksi Harris-Benedict on vanhentunut?<\/summary><div class=\"faq-body\"><p>Alkuper\u00e4inen kaava on vuodelta 1919, tarkistettu 1984. Se kalibroitiin 136 koehenkil\u00f6ll\u00e4, ravitsemusymp\u00e4rist\u00f6ss\u00e4 ja el\u00e4m\u00e4ntavassa, jotka olivat hyvin erilaiset kuin meid\u00e4n. Nykyv\u00e4est\u00f6ill\u00e4 se yliarvioi BMR:n 5\u201310 %. Kliiniset ravitsemusterapeutit pit\u00e4v\u00e4t sit\u00e4 vanhentuneena Mifflin-St Jeorin tulosta 1990 l\u00e4htien.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Mifflin-St Jeor vs Harris-Benedict: mik\u00e4 konkreettinen ero?<\/summary><div class=\"faq-body\"><p>80 kg painavalle, 180 cm pitk\u00e4lle, 32-vuotiaalle miehelle Harris-Benedict antaa noin 1 855 kcal, Mifflin-St Jeor noin 1 780 kcal. Mifflin aliarvioi hieman Harris-Benedicti\u00e4 75 kcal:lla. Mifflin on yleisesti oikeampi, mutta kumpikaan ei erota lihaksikasta profiilia v\u00e4h\u00e4n liikkuvasta.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Miksi rasvaprosentti muuttaa kaiken BMR:n laskennassa?<\/summary><div class=\"faq-body\"><p>Koska rasvaton massa, ei kokonaismassa, m\u00e4\u00e4r\u00e4\u00e4 kulutuksen levossa. 1 kg lihasta polttaa noin 13 kcal\/p\u00e4iv\u00e4, 1 kg rasvaa noin 4 kcal\/p\u00e4iv\u00e4. Kahdella samanpainoisella henkil\u00f6ll\u00e4, joilla on 10 pisteen ero rasvaprosentissa, BMR:t voivat erota 200\u2013400 kcal\/p\u00e4iv\u00e4. Mik\u00e4\u00e4n kaava ilman rasvaprosenttia ei voi tavoittaa sit\u00e4.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Miten Lean laskee perusaineenvaihduntani?<\/summary><div class=\"faq-body\"><p>Lean k\u00e4ytt\u00e4\u00e4 patentoitua omaa mallia. P\u00e4\u00e4sy\u00f6te on AI BodyScanilla mitattu rasvaprosenttisi (kuva, 5 sekuntia, DEXA-tason tarkkuus). Lean johtaa siit\u00e4 todellisen rasvattoman massasi, laskee BMR:n t\u00e4st\u00e4 rasvattomasta massasta ja sis\u00e4llytt\u00e4\u00e4 sitten metabolisen adaptaation funktion, joka kalibroituu uudelleen joka viikko painosi ja koostumuksesi muutoksen mukaan. Rasvaton massa on hallitseva tekij\u00e4; ik\u00e4 moduloi hienovaraisesti tulosta (kulutus levossa laskee hieman vakio rasvattomalla massalla vuosien my\u00f6t\u00e4).<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Kuinka usein BMR pit\u00e4\u00e4 laskea uudelleen?<\/summary><div class=\"faq-body\"><p>Niin kauan kuin kehonkoostumuksesi ei muutu (vakaa paino, vakaa rasvaprosentti), BMR:si ei muutu my\u00f6sk\u00e4\u00e4n. Heti kun pudotat tai lis\u00e4\u00e4t 2 kg, tai rasvaprosenttisi vaihtelee 2 pistett\u00e4, on laskettava uudelleen. Lean tekee sen automaattisesti jokaisessa BodyScanissa ja punnituksessa.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Laskeeko BMR:ni, kun laihdun?<\/summary><div class=\"faq-body\"><p>Kyll\u00e4, kahdesta syyst\u00e4. Ensimm\u00e4inen fyysinen syy: painat v\u00e4hemm\u00e4n, joten sinulla on v\u00e4hemm\u00e4n rasvatonta massaa yll\u00e4pidett\u00e4v\u00e4n\u00e4, joten mekaaninen BMR laskee. Toinen fysiologinen syy: kehosi aktivoi metabolisen adaptaation pitkittyneess\u00e4 kalorivajeessa, joka hidastaa BMR:\u00e4\u00e4si 5\u201320 % odotetun arvonsa alle. Lean mallintaa molemmat ilmi\u00f6t.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Perusaineenvaihdunnan laskenta mies vs nainen: mik\u00e4 ero?<\/summary><div class=\"faq-body\"><p>Samalla painolla, pituudella ja i\u00e4ll\u00e4 naisilla on keskim\u00e4\u00e4rin 8\u201312 % v\u00e4hemm\u00e4n rasvatonta massaa kuin miehill\u00e4 (hormonaalinen ja morfologinen ero). Heid\u00e4n BMR:ns\u00e4 on siis rakenteellisesti matalampi, noin 150\u2013250 kcal\/p\u00e4iv\u00e4. Molemmat klassiset kaavat sis\u00e4llytt\u00e4v\u00e4t eri sukupuolivakion. Leanilla mitattu rasvaton massa puhuu, sukupuolesta riippumatta.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Perusaineenvaihdunta levossa vs rasituksessa: mik\u00e4 on ero?<\/summary><div class=\"faq-body\"><p>BMR on tarkasti kulutus levossa (makuulla, tyhj\u00e4\u00e4n vatsaan, l\u00e4mp\u00f6neutraalissa). Kun k\u00e4velet, lis\u00e4\u00e4t siihen NEAT:n (Non-Exercise Activity Thermogenesis). Kun urheilet, lis\u00e4\u00e4t siihen EAT:n (Exercise Activity Thermogenesis). Kun sy\u00f6t, lis\u00e4\u00e4t siihen TEF:n (Thermic Effect of Food). Summa on TDEE:si.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Mit\u00e4 kaavaa yll\u00e4 oleva laskuri k\u00e4ytt\u00e4\u00e4 \u00abLean-l\u00e4hestymistavalle\u00bb?<\/summary><div class=\"faq-body\"><p>Julkista rasvattomaan massaan perustuvaa yht\u00e4l\u00f6\u00e4, siteerattu fysiologisessa kirjallisuudessa: BMR \u2248 370 + 21,6 \u00d7 rasvaton massa (kg). Rasvaton massa johdetaan painostasi ja rasvaprosentistasi. Se on hy\u00f6dyllinen likiarvo rasvaprosentin vaikutuksen ymm\u00e4rt\u00e4miseen. Leanin patentoitu oma malli sovelluksessa menee pidemm\u00e4lle (metabolinen adaptaatio, vesi, glykogeeni, jatkuva uudelleenkalibrointi).<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Tieteelliset l\u00e4hteet<\/h4>\n  <ol>\n    <li>Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990 Feb;51(2):241-7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris JA, Benedict FG. A Biometric Study of Human Basal Metabolism. Proc Natl Acad Sci USA. 1918 Dec;4(12):370-3.<\/li>\n    <li>Frankenfield DC. Bias and accuracy of resting metabolic rate equations in non-obese and obese adults. Clin Nutr. 2013;32(6):976-82. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>M\u00fcller MJ, Bosy-Westphal A. Adaptive thermogenesis with weight loss in humans. Obesity. 2013 Feb;21(2):218-28. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n    <li>Sabounchi NS, Rahmandad H, Ammerman A. Best-fitting prediction equations for basal metabolic rate. Int J Obes. 2013;37(10):1364-70. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23318721\/\" target=\"_blank\" rel=\"noopener\">PubMed 23318721<\/a>.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Saa BMR:si todellisesta rasvaprosentistasi<\/h3>\n  <p>AI BodyScan 5 sekunnissa. Jatkuva uudelleenkalibrointi. Ilman vuoden 1919 tai 1990 kaavaa. Ilmainen lataus, 7 p\u00e4iv\u00e4n kokeilu vuositilauksessa.<\/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-bmr\" 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-bmr\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n<\/main>\n<\/div>\n\n<script type=\"application\/ld+json\">\n{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebApplication\",\"@id\":\"https:\/\/lean-app.com\/calcul-metabolisme-de-base\/#calculator\",\"name\":\"Calculateur du m\u00e9tabolisme de base (BMR)\",\"applicationCategory\":\"HealthApplication\",\"operatingSystem\":\"Web\",\"url\":\"https:\/\/lean-app.com\/calcul-metabolisme-de-base\/\",\"description\":\"Calculateur du BMR comparant Harris-Benedict 1919, Mifflin-St Jeor 1990 et approche sur masse maigre (avec bodyfat).\",\"inLanguage\":\"fr-FR\",\"offers\":{\"@type\":\"Offer\",\"price\":\"0\",\"priceCurrency\":\"EUR\"}},{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/lean-app.com\/calcul-metabolisme-de-base\/#faq\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Quelle est la formule la plus pr\u00e9cise pour calculer le m\u00e9tabolisme de base ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"La formule la plus pr\u00e9cise est celle qui s'appuie sur la masse maigre r\u00e9elle, pas sur des estimations depuis poids, taille, \u00e2ge et sexe. Sans bodyfat, Mifflin-St Jeor 1990 reste la meilleure approximation (\u00b110 % sur 70 % des profils). Avec bodyfat, une \u00e9quation sur masse maigre type 370 + 21,6 \u00d7 FFM est plus pr\u00e9cise. Le mod\u00e8le propri\u00e9taire brevet\u00e9 Lean affine encore en int\u00e9grant l'adaptation m\u00e9tabolique et la recalibration continue.\"}},{\"@type\":\"Question\",\"name\":\"Pourquoi Harris-Benedict est-elle d\u00e9pass\u00e9e ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"La formule originale date de 1919, r\u00e9vis\u00e9e en 1984. Elle a \u00e9t\u00e9 calibr\u00e9e sur 136 sujets, dans un environnement nutritionnel et un mode de vie tr\u00e8s diff\u00e9rents du n\u00f4tre. Sur des populations modernes, elle surestime le BMR de 5 \u00e0 10 %. Les di\u00e9t\u00e9ticiens cliniciens la consid\u00e8rent comme obsol\u00e8te depuis l'arriv\u00e9e de Mifflin-St Jeor en 1990.\"}},{\"@type\":\"Question\",\"name\":\"Mifflin-St Jeor vs Harris-Benedict : quelle diff\u00e9rence concr\u00e8te ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Sur un homme de 80 kg, 180 cm, 32 ans, Harris-Benedict donne environ 1 855 kcal, Mifflin-St Jeor environ 1 780 kcal. Mifflin sous-estime l\u00e9g\u00e8rement Harris-Benedict de 75 kcal. Mifflin est globalement plus juste, mais aucune des deux ne distingue un profil muscl\u00e9 d'un profil s\u00e9dentaire.\"}},{\"@type\":\"Question\",\"name\":\"Pourquoi le bodyfat change tout sur le calcul du BMR ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Parce que c'est la masse maigre, pas la masse totale, qui d\u00e9termine la d\u00e9pense au repos. 1 kg de muscle br\u00fble environ 13 kcal\/jour, 1 kg de gras environ 4 kcal\/jour. Deux personnes au m\u00eame poids mais avec 10 points de bodyfat d'\u00e9cart ont des BMR qui peuvent diverger de 200 \u00e0 400 kcal\/jour. Aucune formule sans bodyfat ne peut capter \u00e7a.\"}},{\"@type\":\"Question\",\"name\":\"Comment Lean calcule mon m\u00e9tabolisme de base ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Lean utilise un mod\u00e8le propri\u00e9taire brevet\u00e9. La donn\u00e9e d'entr\u00e9e principale est ton bodyfat mesur\u00e9 par BodyScan IA (photo, 5 secondes, pr\u00e9cision DEXA-grade). Lean en d\u00e9duit ta masse maigre r\u00e9elle, calcule un BMR sur cette masse maigre, puis int\u00e8gre une fonction d'adaptation m\u00e9tabolique qui se recalibre chaque semaine selon ta variation de poids et de composition. La masse maigre est le facteur dominant ; l'\u00e2ge module finement le r\u00e9sultat (la d\u00e9pense au repos diminue l\u00e9g\u00e8rement \u00e0 masse maigre constante au fil des ann\u00e9es).\"}},{\"@type\":\"Question\",\"name\":\"Combien de fois faut-il recalculer son BMR ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Tant que ta composition corporelle ne bouge pas (poids stable, bodyfat stable), ton BMR ne bouge pas non plus. D\u00e8s que tu perds ou prends 2 kg, ou que ton bodyfat varie de 2 points, il faut recalculer. Lean le fait automatiquement \u00e0 chaque BodyScan et chaque pes\u00e9e.\"}},{\"@type\":\"Question\",\"name\":\"Mon BMR baisse-t-il quand je perds du poids ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Oui, pour deux raisons. Premi\u00e8re raison physique : tu p\u00e8ses moins lourd, donc tu as moins de masse maigre \u00e0 entretenir, donc le BMR m\u00e9canique baisse. Deuxi\u00e8me raison physiologique : ton corps active une adaptation m\u00e9tabolique en d\u00e9ficit calorique prolong\u00e9, qui ralentit ton BMR de 5 \u00e0 20 % sous sa valeur attendue. Lean mod\u00e9lise ces deux ph\u00e9nom\u00e8nes.\"}},{\"@type\":\"Question\",\"name\":\"Calcul m\u00e9tabolisme de base homme vs femme : quelle diff\u00e9rence ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"\u00c0 poids, taille et \u00e2ge \u00e9quivalents, les femmes ont en moyenne 8 \u00e0 12 % moins de masse maigre que les hommes (diff\u00e9rence hormonale et morphologique). Leur BMR est donc structurellement plus bas, de l'ordre de 150 \u00e0 250 kcal\/jour. Les deux formules classiques int\u00e8grent une constante de sexe diff\u00e9rente. Sur Lean, c'est la masse maigre mesur\u00e9e qui parle, ind\u00e9pendamment du sexe.\"}},{\"@type\":\"Question\",\"name\":\"M\u00e9tabolisme de base au repos vs \u00e0 l'effort : c'est quoi la diff\u00e9rence ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Le BMR est strictement la d\u00e9pense au repos (allong\u00e9, \u00e0 jeun, neutralit\u00e9 thermique). Quand tu marches, tu y ajoutes le NEAT (Non-Exercise Activity Thermogenesis). Quand tu fais du sport, tu y ajoutes l'EAT (Exercise Activity Thermogenesis). Quand tu manges, tu y ajoutes le TEF (Thermic Effect of Food). La somme est ton TDEE.\"}},{\"@type\":\"Question\",\"name\":\"Le calculateur ci-dessus utilise quelle formule pour 'approche Lean' ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Une \u00e9quation publique sur masse maigre, cit\u00e9e dans la litt\u00e9rature physiologique : BMR \u2248 370 + 21,6 \u00d7 masse maigre (kg). La masse maigre est d\u00e9riv\u00e9e de ton poids et de ton bodyfat. C'est une approximation utile pour comprendre l'effet du bodyfat. Le mod\u00e8le propri\u00e9taire brevet\u00e9 Lean dans l'app va plus loin (adaptation m\u00e9tabolique, eau, glycog\u00e8ne, recalibration continue).\"}}]},{\"@type\":\"MobileApplication\",\"@id\":\"https:\/\/lean-app.com\/#app\",\"name\":\"Lean\",\"applicationCategory\":\"HealthApplication\",\"operatingSystem\":\"iOS, Android\",\"description\":\"Tracker calories et m\u00e9tabolisme avec BodyScan IA pour calculer le BMR sur masse maigre r\u00e9elle.\",\"aggregateRating\":{\"@type\":\"AggregateRating\",\"ratingValue\":\"4.7\",\"ratingCount\":\"1000\"},\"offers\":{\"@type\":\"Offer\",\"price\":\"0\",\"priceCurrency\":\"EUR\"}}]}\n<\/script>\n\n<script>(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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Muut sovellukset eiv\u00e4t.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/neat-depense-non-sportive\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT: miten arki polttaa enemm\u00e4n kuin urheilu <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Miksi askeleesi ja ei-urheilulliset aktiviteettisi edustavat 15\u201330 % kokonaiskulutuksestasi.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Kalorivajelaskuri: oikea l\u00e4hestymistapa dieettiin <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Laske vajeesi todellisesta rasvaprosenttitietoisesta TDEE:st\u00e4si. 3 vauhtia hidas\/kohtalainen\/aggressiivinen.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/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;\">T\u00e4ydellinen TDEE-laskuri: kanoninen kaava BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Rasvaprosenttitietoinen TDEE-laskuri 4 metabolisen rakennuspalikan erittelyll\u00e4.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Parhaat sovellukset kalorien laskemiseen vuonna 2026: 8 testattua sovellusta <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Rehellinen vertailu: Lean, MFP, Cronometer, Yazio, Foodvisor, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Compare les 3 formules de calcul du BMR. Pourquoi Harris-Benedict 1919 et Mifflin-St Jeor 1990 se trompent sans bodyfat. L&rsquo;approche Lean sur masse maigre via BodyScan IA.<\/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-1543","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>Perusaineenvaihdunnan laskenta: Harris-Benedict ja BMR - Lean<\/title>\n<meta name=\"description\" content=\"Vertaa Harris-Benedicti\u00e4, Mifflin-St Jeoria ja Lean-l\u00e4hestymistapaa rasvattomasta massasta AI BodyScanilla. 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