{"id":1803,"date":"2026-08-16T12:39:28","date_gmt":"2026-08-16T12:39:28","guid":{"rendered":"https:\/\/lean-app.com\/calculer-vraie-depense-calorique\/"},"modified":"2026-09-08T18:18:46","modified_gmt":"2026-09-08T18:18:46","slug":"calculer-vraie-depense-calorique","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/calculer-vraie-depense-calorique\/","title":{"rendered":"S\u00e5dan beregner du dit reelle kalorieforbrug: den komplette guide"},"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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.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 .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;gap:10px;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .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\/* 00 : pills des clans dietetiques *\/\n#lvm-shell .clans{display:flex;flex-wrap:wrap;gap:10px;margin:26px 0 6px}\n#lvm-shell .clans .c{font-family:var(--font-mono);font-size:12px;font-weight:500;letter-spacing:.02em;padding:8px 15px;border:1px solid var(--rule);border-radius:999px;color:var(--muted);background:#fff;text-decoration:line-through;text-decoration-color:rgba(208,46,46,.6);text-decoration-thickness:1.5px}\n#lvm-shell .clans .one{background:var(--pink);color:#fff;border-color:var(--pink);text-decoration:none;font-weight:600}\n#lvm-shell .clans-cap{font-size:13px;color:var(--muted);margin:10px 0 0}\n\n\/* 01 : balance energetique 3 etats *\/\n#lvm-shell .balance{display:grid;grid-template-columns:repeat(3,1fr);gap:14px;margin:28px 0 10px}\n#lvm-shell .balance .b-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:22px 20px}\n#lvm-shell .balance .b-it .sign{font-family:var(--font-display);font-size:34px;font-weight:600;line-height:1;letter-spacing:-.03em}\n#lvm-shell .balance .deficit .sign{color:var(--green)}\n#lvm-shell .balance .maint .sign{color:var(--amber)}\n#lvm-shell .balance .surplus .sign{color:var(--red)}\n#lvm-shell .balance .b-it h4{margin:12px 0 6px;font-size:17px}\n#lvm-shell .balance .b-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n\n\/* 02 : les 5 briques du TDEE *\/\n#lvm-shell .comp{display:grid;grid-template-columns:repeat(2,1fr);gap:14px;margin:28px 0 10px}\n#lvm-shell .comp .c-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:20px 22px;position:relative}\n#lvm-shell .comp .c-it .dot{width:12px;height:12px;border-radius:50%;display:inline-block;margin-right:8px;vertical-align:baseline}\n#lvm-shell .comp .c-it .tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);display:flex;align-items:center;margin-bottom:8px}\n#lvm-shell .comp .c-it h4{margin:0 0 6px;font-size:18px}\n#lvm-shell .comp .c-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .comp .c-it.wide{grid-column:1\/-1;background:rgba(168,213,160,.14);border-color:rgba(168,213,160,.7)}\n\n\/* 04 : echelle MET seuil 3 *\/\n#lvm-shell .metscale{margin:30px 0 12px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 24px 22px}\n#lvm-shell .metscale .ms-head{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:58px}\n#lvm-shell .metscale .track{position:relative;height:12px;border-radius:99px;background:linear-gradient(90deg,var(--neat) 0%,var(--neat) 33.3%,var(--eat) 33.3%,var(--eat) 100%);margin:0 8px}\n#lvm-shell .metscale .thresh{position:absolute;left:33.3%;top:-8px;bottom:-8px;width:2px;background:var(--ink);transform:translateX(-50%)}\n#lvm-shell .metscale .thresh-pill{position:absolute;left:33.3%;top:-46px;transform:translateX(-50%);background:var(--ink);color:#fff;font-family:var(--font-mono);font-size:11px;font-weight:600;padding:6px 11px;border-radius:99px;white-space:nowrap}\n#lvm-shell .metscale .zones{display:flex;margin:14px 8px 0}\n#lvm-shell .metscale .zones .zn{font-family:var(--font-display);font-size:14px;font-weight:600}\n#lvm-shell .metscale .zones .zn small{display:block;font-family:var(--font-text);font-size:12px;color:var(--muted);font-weight:400}\n#lvm-shell .metscale .zones .zn.neat{width:33.3%;color:var(--neat)}\n#lvm-shell .metscale .zones .zn.eat{width:66.7%;text-align:right;color:var(--eat)}\n#lvm-shell .metscale .ex{display:flex;flex-wrap:wrap;gap:8px;margin:20px 8px 0}\n#lvm-shell .metscale .ex span{font-size:12px;color:var(--ink-2);background:var(--paper);border:1px solid var(--rule-soft);border-radius:999px;padding:5px 12px}\n#lvm-shell .metscale .ex b{font-weight:600;color:var(--ink)}\n\n\/* 05 : montre connectee vs realite *\/\n#lvm-shell .watch{display:grid;grid-template-columns:1fr 1fr;gap:14px;margin:28px 0 10px}\n#lvm-shell .watch .w-it{background:#fff;border:1px solid var(--rule);border-radius:18px;padding:26px 22px;text-align:center}\n#lvm-shell .watch .w-it .k{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:10px}\n#lvm-shell .watch .w-it .big{font-family:var(--font-display);font-size:46px;font-weight:600;line-height:1;letter-spacing:-.04em}\n#lvm-shell .watch .bad .big{color:var(--red)}\n#lvm-shell .watch .good .big{color:var(--pink)}\n#lvm-shell .watch .w-it p{margin:10px 0 0;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .watch-cap{font-size:13px;color:var(--muted);margin:8px 0 0}\n\n\/* 06 : TEF par macro (ordre verrouille P, G, L) *\/\n#lvm-shell .tefbars{margin:30px 0 12px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 24px 24px}\n#lvm-shell .tefbars .tb-head{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:20px}\n#lvm-shell .tefbars .tb{display:grid;grid-template-columns:98px 1fr 76px;gap:14px;align-items:center;margin:14px 0}\n#lvm-shell .tefbars .tb .lab{font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .tefbars .tb .bar{height:12px;border-radius:99px;background:var(--rule-soft);overflow:hidden}\n#lvm-shell .tefbars .tb .bar > i{display:block;height:100%;border-radius:99px}\n#lvm-shell .tefbars .tb.p .bar > i{background:var(--macro-p);width:83%}\n#lvm-shell .tefbars .tb.g .bar > i{background:var(--macro-g);width:25%}\n#lvm-shell .tefbars .tb.l .bar > i{background:var(--macro-l);width:7%}\n#lvm-shell .tefbars .tb .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);text-align:right}\n#lvm-shell .tefbars .tb-cap{font-size:13px;color:var(--muted);margin:16px 0 0;line-height:1.5}\n\n\/* 09 : checklist recap (feat-stack) *\/\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:42px;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 .keycard{margin:32px 0;padding:24px 20px;border-radius:16px}\n  #lvm-shell .keycard .kc-num{font-size:40px}\n  #lvm-shell .keycard .kc-lbl{font-size:17px}\n  #lvm-shell .eqcard{padding:24px 16px}\n  #lvm-shell .eqcard .eq-line{font-size:18px;gap:7px}\n  #lvm-shell .eqcard .eq-p{font-size:14px;padding:7px 12px}\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 .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:26px 22px;gap:18px;flex-direction:column;align-items:center;text-align:center}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0;width:100%;text-align:center}\n  #lvm-shell .cta-band .stores{width:100%;justify-content:center}\n  #lvm-shell .cta-band .stores img{height:42px}\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 .pyramid .l4{width:64%}\n  #lvm-shell .balance{grid-template-columns:1fr;gap:10px}\n  #lvm-shell .comp{grid-template-columns:1fr;gap:10px}\n  #lvm-shell .metscale{padding:22px 16px 18px}\n  #lvm-shell .metscale .thresh-pill{font-size:10px;padding:5px 9px;top:-42px}\n  #lvm-shell .metscale .ex span{font-size:11px;padding:4px 10px}\n  #lvm-shell .watch{grid-template-columns:1fr 1fr;gap:10px}\n  #lvm-shell .watch .w-it{padding:20px 12px}\n  #lvm-shell .watch .w-it .big{font-size:34px}\n  #lvm-shell .tefbars{padding:22px 16px 18px}\n  #lvm-shell .tefbars .tb{grid-template-columns:82px 1fr 64px;gap:10px}\n  #lvm-shell .tefbars .tb .lab{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}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1803 #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-1803 #lvm-shell .wrap,\nbody.postid-1803 #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-1803 #lvm-shell .wrap,\n  body.postid-1803 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1803 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1803 #lvm-shell *{max-width:100%}\nbody.postid-1803 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1803 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1803 #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-1803 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1803 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === CTA BANDS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1803 #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-1803 #lvm-shell 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.tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST fin de partie BMR (memoire bloquante bodyscan_iphone_after_bmr) === *\/\nbody.postid-1803 #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-1803 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1803 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* === P.1 COMPOSANTS GUIDE (clans \/ balance \/ comp \/ metscale \/ watch \/ tefbars) === *\/\n@media (max-width:760px){\n  body.postid-1803 #lvm-shell .balance{grid-template-columns:1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .comp{grid-template-columns:1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .watch{grid-template-columns:1fr 1fr!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .watch .w-it .big{font-size:34px!important}\n  body.postid-1803 #lvm-shell .metscale{padding:22px 16px 18px!important}\n  body.postid-1803 #lvm-shell .metscale .thresh-pill{font-size:10px!important;padding:5px 9px!important;top:-42px!important}\n  body.postid-1803 #lvm-shell .tefbars{padding:22px 16px 18px!important}\n  body.postid-1803 #lvm-shell .tefbars .tb{grid-template-columns:82px 1fr 64px!important;gap:10px!important}\n  body.postid-1803 #lvm-shell .feat-it{grid-template-columns:auto 1fr!important;gap:14px!important;padding:20px 0!important}\n  body.postid-1803 #lvm-shell .feat-it .fn{font-size:36px!important;width:54px!important}\n  body.postid-1803 #lvm-shell .feat-it .fc{display:none!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/da\/\" aria-label=\"Lean forside\">\n      <img 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>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">TDEE-beregner<\/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=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download i App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\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=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilg\u00e6ngelig p\u00e5 Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/da\/\">Hjem<\/a> &nbsp;\/&nbsp; Beregn dit reelle kalorieforbrug<\/div>\n  <div class=\"eyebrow\">Referenceguide &middot; Kalorieforbrug &amp; TDEE<\/div>\n  <h1 id=\"title\">S\u00e5dan beregner du dit reelle kalorieforbrug.\n    <span class=\"alt\">Den komplette guide: BMR, NEAT, EAT, TEF, og den 5. byggesten, som 95&nbsp;% ignorerer.<\/span>\n  <\/h1>\n  <p class=\"dek\">Tracker du dine kalorier uden at tracke dit forbrug med samme stringens, styrer du i blinde. Denne guide l\u00e6rer dig at beregne hver komponent i din TDEE, med kilder, f\u00e6lder og tal.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; L\u00e6setid 25&nbsp;min &middot; Opdateret 16. august 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" 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=pilier-ultime\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Tabe fedt, blive defineret, holde resultatet: alt hviler p\u00e5 energibalancen. Og alligevel beregner n\u00e6sten alle den forkert, fordi n\u00e6sten alle beregner deres forbrug forkert. Formel fra 1919, fastl\u00e5st aktivitetskoefficient, ur, der fordobler sportskalorierne: hvert led tilf\u00f8jer sin fejl. Denne guide tager beregningen fra nul, s\u00f8jle for s\u00f8jle, med de studier, der afg\u00f8r, og forskellene i kcal.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen for at udforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen<br>for at udforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Oversigt over Lean-appen med drilldown af TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbage\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversigt, Forbrug-fanen\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversigt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbrug-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversigt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbrug<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Hurtigt svar<\/div>\n    <p>Dit daglige kalorieforbrug beregnes ved at l\u00e6gge 4 poster sammen: <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Dit samlede energiforbrug over 24 timer.<\/span><\/span> = <span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi brugt i hvile. Beregnes p\u00e5 den fedtfri masse, alts\u00e5 p\u00e5 den reelle fedtprocent.<\/span><\/span> + <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Forbrug fra skridt og daglige aktiviteter uden for sport.<\/span><\/span> + <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Forbrug fra dine tr\u00e6ningspas, beregnet via MET.<\/span><\/span> + <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi brugt p\u00e5 ford\u00f8jelsen. Afh\u00e6nger af de indtagne makroer.<\/span><\/span>. BMR skal beregnes p\u00e5 din fedtfri masse (alts\u00e5 din reelle fedtprocent, ikke din v\u00e6gt), NEAT p\u00e5 dine reelle skridt, EAT p\u00e5 den effektive sportstid, TEF p\u00e5 dine makroer. Den 5. byggesten, den metaboliske tilpasning, modulerer din BMR nedad ved langvarigt underskud: Lean er den eneste app, der beregner alle 5.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"promesse\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; L\u00f8ftet<\/span><\/div>\n  <h2 id=\"promesse\">Du kommer til at forst\u00e5, hvorfor du stagnerer<\/h2>\n  <p>Hvordan taber man fedt, bliver defineret og forbliver det&nbsp;? Vi er i 2026, og du bombarderes stadig med modstridende svar: periodisk faste, keto, carnivore, sukkerfri, 10&nbsp;000 skridt om dagen, nej undskyld, 15&nbsp;000. Normalt at drukne.<\/p>\n  <p>Her er n\u00f8glen, som ingen fremh\u00e6ver: <strong>alle disse di\u00e6ter er kun taktikker<\/strong>. Anvendelser af en teori, der har v\u00e6ret videnskabeligt fastsl\u00e5et i \u00e5rtier: energibalancen. Forst\u00e5r du den, forst\u00e5r du hele bagsiden af kulissen, og du holder op med at deltage i di\u00e6tklanernes krige.<\/p>\n\n  <div class=\"clans\" aria-label=\"Di\u00e6ttaktikkerne over for teorien\">\n    <span class=\"c\">Periodisk faste<\/span>\n    <span class=\"c\">Keto<\/span>\n    <span class=\"c\">Carnivore<\/span>\n    <span class=\"c\">Sukkerfri<\/span>\n    <span class=\"c\">Low carb<\/span>\n    <span class=\"c\">Detox<\/span>\n    <span class=\"c one\">1 teori: energibalancen<\/span>\n  <\/div>\n  <div class=\"clans-cap\">Hver moderne di\u00e6t er blot \u00e9n m\u00e5de blandt andre at skabe et underskud p\u00e5. Ingen er magisk. Teorien nedenunder \u00e6ndrer sig derimod aldrig.<\/div>\n\n  <p>Hos Lean-brugere g\u00e5r m\u00f8nsteret systematisk igen: \u00e5r med klassiske fejl, f\u00f8r de endelig st\u00f8der p\u00e5 den rigtige teori. N\u00e5r den anvendes, er nogle f\u00e5 \u00e5r nok til at forvandle en fysik, uden exceptionel genetik.<\/p>\n  <p>En ufravigelig gylden regel, f\u00f8r vi begynder: <strong>princip nummer 1 er vedholdenhed<\/strong>. Ekstrem di\u00e6t, ultrastiv, der \u00f8del\u00e6gger dit sociale liv eller din mentale sundhed: forbudt. En metode, du ikke kan holde i 12 m\u00e5neder, er en d\u00e5rlig metode, uanset dens teoretiske renhed.<\/p>\n<\/section>\n\n<section aria-labelledby=\"ancrage\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Grundlaget<\/span><\/div>\n  <h2 id=\"ancrage\">Underskud, vedligehold, overskud: energibalancen<\/h2>\n  <p>Din krop bruger energi hver dag: det er <strong>TDEE<\/strong> (Total Daily Energy Expenditure), dit samlede daglige energiforbrug. Den optager ogs\u00e5 energi, via din kost. Sammenligningen af de to giver tre mulige tilstande, og kun tre.<\/p>\n\n  <div class=\"balance\" aria-label=\"Energibalancens tre tilstande\">\n    <div class=\"b-it deficit\">\n      <div class=\"sign\">&minus;<\/div>\n      <h4>Kalorieunderskud<\/h4>\n      <p>Du spiser mindre end dit forbrug. Din krop t\u00e6rer p\u00e5 sine reserver: du taber dig.<\/p>\n    <\/div>\n    <div class=\"b-it maint\">\n      <div class=\"sign\">=<\/div>\n      <h4>Vedligehold<\/h4>\n      <p>Du spiser lige s\u00e5 meget som dit forbrug. Din v\u00e6gt er stabil, dit stofskifte regenererer sig.<\/p>\n    <\/div>\n    <div class=\"b-it surplus\">\n      <div class=\"sign\">+<\/div>\n      <h4>Kalorieoverskud<\/h4>\n      <p>Du spiser mere end dit forbrug. Din krop lagrer overskuddet: du tager p\u00e5.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-poids.webp\" alt=\"Courbe de poids Lean sur un mois de d\u00e9ficit, avec masse maigre et masse grasse\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">V\u00e6gtkurve<strong>Underskuddet kan ses<\/strong><\/div>\n    <\/div>\n    <div>\n      <p>N\u00e5r du er i underskud, t\u00e6rer din krop p\u00e5 sine reserver i en pr\u00e6cis r\u00e6kkef\u00f8lge. F\u00f8rst <strong>glykogenet<\/strong>, en form for glukose lagret i muskler og lever, som hurtigt opbruges. Derefter <strong>fedtreserverne<\/strong>, nedbrudt til fedtsyrer og brugt som br\u00e6ndstof. Kun ved meget alvorligt og langvarigt underskud nedbryder kroppen i v\u00e6sentlig grad muskelprotein.<\/p>\n      <p>Det afliver en sejlivet myte: nej, underskuddet \u00ab\u00e6der ikke dine muskler\u00bb fra den f\u00f8rste dag. Et rimeligt underskud, med nok protein og styrketr\u00e6ning, f\u00e5r dig til at tabe fedt, ikke muskler.<\/p>\n    <\/div>\n  <\/div>\n  <p>Underskud, vedligehold, overskud: intet nyt. <strong>Hele n\u00f8glen til teorien ligger et andet sted<\/strong> : i den pr\u00e6cise beregning af dit forbrug. Tracker du ikke dit forbrug lige s\u00e5 godt som dine kalorier, nytter resten ikke.<\/p>\n<\/section>\n\n<section aria-labelledby=\"probleme\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Det reelle problem<\/span><\/div>\n  <h2 id=\"probleme\">En fejl p\u00e5 300 kcal er nok til at oph\u00e6ve alt<\/h2>\n  <p>Her er scenariet, der blokerer millioner af mennesker. Du vil have et underskud p\u00e5 cirka 250&nbsp;kcal. Du tror, din TDEE er 2&nbsp;500&nbsp;kcal, s\u00e5 du l\u00e6gger dig p\u00e5 2&nbsp;250&nbsp;kcal om dagen, p\u00e6nt, hver dag. Men fordi beregningen var d\u00e5rlig, er din reelle TDEE 2&nbsp;200&nbsp;kcal.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">0 chance<\/div>\n    <div class=\"lbl\">for at tabe dig, hvis du spiser 2&nbsp;250&nbsp;kcal med en reel TDEE p\u00e5 2&nbsp;200. Du tror, du er i 250 underskud. Du er i 50 overskud. Og du kan ikke engang vide det.<\/div>\n  <\/div>\n\n  <p>Det er det reelle problem. Ikke din viljestyrke, ikke dine aftenkulhydrater, ikke din fastende cardio: en simpel, usynlig estimeringsfejl, der forvandler dit teoretiske underskud til reelt overskud. At beregne din TDEE pr\u00e6cist er <strong>det, der l\u00e5ser alle l\u00e5se op<\/strong>. Du kan f\u00e5 et f\u00f8rste estimat med <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">Leans online TDEE-beregner<\/a>og derefter l\u00e6se videre for at forst\u00e5 hver byggesten.<\/p>\n  <p>Hvad best\u00e5r TDEE af&nbsp;? Af fire forbrugsposter, der l\u00e6gges sammen, detaljeret i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">s\u00f8jlen om det samlede energiforbrug<\/a> :<\/p>\n\n  <div class=\"comp\" aria-label=\"De 4 komponenter i TDEE og den 5. byggesten\">\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--bmr)\"><\/span>Post 1 &middot; BMR<\/div>\n      <h4>Basalstofskifte<\/h4>\n      <p>Den energi, din krop forbr\u00e6nder i fuldst\u00e6ndig hvile: organer, hjerne, kredsl\u00f8b. Den st\u00f8rste post, og den, n\u00e6sten alle beregner forkert.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--neat)\"><\/span>Post 2 &middot; NEAT<\/div>\n      <h4>Aktivitet uden for sport<\/h4>\n      <p>G\u00e5, st\u00e5, skrive p\u00e5 tastatur, gestikulere. Domineret af dine skridt. Det mest undervurderede h\u00e5ndtag i hele forbruget.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--eat)\"><\/span>Post 3 &middot; EAT<\/div>\n      <h4>Tr\u00e6ning \/ sport<\/h4>\n      <p>Dine tr\u00e6ningspas, beregnet via deres MET og den effektive anstrengelsestid. Meget mindre end det, dit ur viser dig.<\/p>\n    <\/div>\n    <div class=\"c-it\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--tef)\"><\/span>Post 4 &middot; TEF<\/div>\n      <h4>Madens termiske effekt<\/h4>\n      <p>Energien brugt p\u00e5 at ford\u00f8je. Afh\u00e6nger af makroerne: protein koster langt mere at ford\u00f8je end fedt.<\/p>\n    <\/div>\n    <div class=\"c-it wide\">\n      <div class=\"tag\"><span class=\"dot\" style=\"background:var(--adapt)\"><\/span>5. byggesten &middot; separat<\/div>\n      <h4>Den metaboliske tilpasning<\/h4>\n      <p>Den l\u00e6gges ikke til de 4 poster: den modulerer din BMR nedad, n\u00e5r du bliver i underskud, som en koefficient. Lean-konvention: en score, der starter p\u00e5 100&nbsp;% (optimalt) og falder. Vi bruger hele del 5 p\u00e5 den, det er den endelige boss.<\/p>\n    <\/div>\n  <\/div>\n\n  <p>Ligningen er enkel at skrive: <strong>TDEE = BMR + NEAT + EAT + TEF<\/strong>. Den er langt mindre enkel at beregne korrekt, fordi hver post har sin f\u00e6lde, sin dominerende fejl udbredt i 99&nbsp;% af v\u00e6rkt\u00f8jerne, og sin rigtige metode. Det er programmet for de fem f\u00f8lgende dele: fire poster at l\u00e6gge sammen, \u00e9n multiplikativ byggesten at holde \u00f8je med.<\/p>\n<\/section>\n\n<section aria-labelledby=\"bmr\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; S\u00f8jle 1 &middot; BMR<\/span><\/div>\n  <h2 id=\"bmr\">BMR: dit basalstofskifte, beregnet p\u00e5 din fedtfri masse<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Hvad det pr\u00e6cist er<\/div>\n      <p>Den <strong>BMR<\/strong> (Basal Metabolic Rate) er dit basalstofskifte: energien brugt i fuldst\u00e6ndig hvile. Liggende i 24 timer uden at bev\u00e6ge dig, energien brugt af dine organer, din hjerne, din lever, dit kredsl\u00f8b, det er din BMR: 60 til 75&nbsp;% af det samlede forbrug for de fleste. Er din BMR forkert, er hele din TDEE forkert. Begrebet er beskrevet i detaljer i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\">s\u00f8jlen om basalstofskifte<\/a>.<\/p>\n      <p>I Lean lever din BMR p\u00e5 sk\u00e6rmen: genberegnet kontinuerligt, med din tilpasningsscore vist lige ved siden af.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-bmr.webp\" alt=\"\u00c9cran BMR de Lean : m\u00e9tabolisme de base jour par jour et score d'adaptation\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">BMR-sk\u00e6rm<strong>Genberegnet kontinuerligt<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>Den dominerende fejl: v\u00e6gtbaserede formler, heriblandt \u00e9n fra 1919<\/h3>\n  <p>Guidens f\u00f8rste f\u00e6lde: at bruge den forkerte ligning. Den mest brugte i verden hedder Harris-Benedict: sociale medier, coaches, tracking-apps, visse di\u00e6tistskoler. Men man har vidst i mere end 20 \u00e5r, at den ikke l\u00e6ngere er opdateret.<\/p>\n  <p>Kontekst: <strong>1919<\/strong>. Harris og Benedict l\u00e6gger <strong>239 m\u00e6nd og kvinder, alle fra samme by<\/strong> (Boston, USA), ned med en maske, der m\u00e5ler det forbrugte ilt, og udleder en generel lov efter v\u00e6gt, h\u00f8jde, alder og k\u00f8n. Brillant for sin tid, men: en lillebitte stikpr\u00f8ve, fors\u00f8gspersoner med livsstil og hormonprofiler meget forskellige fra vores, en stadig upr\u00e6cis kalorimetri. Siden har talrige studier vist, at Harris-Benedict <strong>overvurderer basalstofskiftet<\/strong>. Mifflin-St Jeor, publiceret i 1990 p\u00e5 en mere moderne stikpr\u00f8ve (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>), retter en del af sk\u00e6vheden, men beholder hele familiens strukturelle fejl: <strong>den kender kun din v\u00e6gt, din h\u00f8jde, din alder og dit k\u00f8n<\/strong>. Frankenfield 2013 (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>) m\u00e5lte dens pr\u00e6cision over for referencemetoden indirekte kalorimetri: korrekt hos slanke fors\u00f8gspersoner, falder den til 75&nbsp;% acceptable forudsigelser hos overv\u00e6gtige fors\u00f8gspersoner. Hverken 1919 eller 1990 kan tjene som fundament for et pr\u00e6cist underskud.<\/p>\n\n  <h3>Det, videnskaben har afgjort: fedtmassen bruger n\u00e6sten intet<\/h3>\n  <p>Siden arbejderne i 1980'erne har man vidst, at stofskiftet f\u00f8lger den <strong>fedtfri masse<\/strong> : din v\u00e6gt minus din fedtmasse. Lever, hjerne, hjerte og nyrer er enorme forbrugere, <strong>musklerne er den f\u00f8rste justerbare post<\/strong>, og fedtv\u00e6vet vejer n\u00e6sten intet. En formel, der kun ser v\u00e6gten, behandler 1&nbsp;kg fedt som 1&nbsp;kg muskel: det er pr\u00e6cis dens fejl.<\/p>\n  <p>Konkret: tag en mand p\u00e5 1,80 m, 120&nbsp;kg, 30&nbsp;% fedtprocent. En v\u00e6gtbaseret formel af Harris-Benedict-typen giver ham en BMR p\u00e5 cirka 2&nbsp;500&nbsp;kcal. En beregning p\u00e5 hans reelle fedtfri masse giver cirka 2&nbsp;000&nbsp;kcal. <strong>500&nbsp;kcal i forskel<\/strong>, svarende til et helt m\u00e5ltid, alene p\u00e5 TDEE's f\u00f8rste post.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1 &middot; Mand 1,80 m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"BMR-sammenligning: v\u00e6gtbaseret formel fra 1919 giver 2500 kcal, beregning p\u00e5 fedtfri masse giver 2000 kcal, forskel p\u00e5 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Estimeret BMR.<\/strong> Den v\u00e6gtbaserede formel overvurderer med 500&nbsp;kcal, fordi den t\u00e6ller fedtmassen som aktivt v\u00e6v.<\/p>\n  <\/div>\n\n  <h3>Den rigtige metode: v\u00e6gt, fedtprocent, fedtfri masse<\/h3>\n  <p>Din fedtfri masse udledes af din v\u00e6gt og din fedtprocent: <strong>fedtfri masse = v\u00e6gt &times; (1 &minus; fedtprocent)<\/strong>. Ved 15&nbsp;% fedtprocent for 80&nbsp;kg er din fedtfri masse 80 &times; 0,85 = 68&nbsp;kg. Det er p\u00e5 den, din BMR skal beregnes. Der vil stadig v\u00e6re en usikkerhed knyttet til m\u00e5lingen af fedtprocenten, men du reducerer fejlen enormt i forhold til en v\u00e6gtbaseret formel. Du kan lave beregningen online med <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calcul-metabolisme-de-base\/\">Leans beregner for basalstofskifte<\/a>.<\/p>\n  <p>Den nye udfordring bliver alts\u00e5: <strong>at bestemme din fedtprocent pr\u00e6cist og enkelt<\/strong>. Fire teknikker findes, kun \u00e9n kan anbefales til hverdagen:<\/p>\n  <ul>\n    <li><strong>Hudfoldsm\u00e5leren.<\/strong> Meget brugt p\u00e5 YouTube, meget upr\u00e6cis: h\u00e5ndteringsfejl, d\u00e5rlig reproducerbarhed. Glem den til at styre en BMR-beregning.<\/li>\n    <li><strong>Impedansv\u00e6gten.<\/strong> Forholdet modstand-fedtprocent er en gigantisk tiln\u00e6rmelse, og din hydrering f\u00e5r resultatet til at variere flere point fra dag til dag. Lean-brugere fort\u00e6ller alle samme historie: en high-end v\u00e6gt, der viste 6 eller 7&nbsp;% hos personer, der tydeligvis l\u00e5 p\u00e5 15 eller 18. En v\u00e6gt bruges til at veje sig, punktum.<\/li>\n    <li><strong>DEXA-scanningen.<\/strong> Den nuv\u00e6rende reference: r\u00f8ntgenstr\u00e5ler med meget lav intensitet m\u00e5ler din komplette kropssammens\u00e6tning. Men det er dyrt, lidt tilg\u00e6ngeligt, og det skulle gentages hver uge. Urealistisk i rutine.<\/li>\n    <li><strong>AI-scanningen.<\/strong> Den praktisable metode i dag: modeller tr\u00e6net p\u00e5 enorme databanker af personer, der har f\u00e5et lavet DEXA-scanninger. Et foto, din fedtprocent estimeret p\u00e5 f\u00e5 sekunder, hver uge.<\/li>\n  <\/ul>\n  <p>Det er pr\u00e6cis det, Leans <strong>AI BodyScan<\/strong> g\u00f8r: et foto, 5 sekunder, din fedtprocent estimeret, og din BMR genberegnet automatisk bagved via en <strong>patenteret egenudviklet model<\/strong> bygget p\u00e5 den reelle fedtfri masse. Det er det f\u00f8rste kriterium, der adskiller Lean fra de klassiske trackere i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/\">sammenligningen Lean over for MyFitnessPal<\/a>.<\/p>\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=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Reel fedtprocent<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"keycard bmr\">\n    <div class=\"kc-tag\">S\u00f8jle 1 &middot; BMR &middot; tallet at huske<\/div>\n    <div class=\"kc-num\">400&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">BMR-forskel mellem to m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fedtprocent (BMR &asymp; 1&nbsp;900), den anden med 30&nbsp;% (BMR &asymp; 1&nbsp;500). En v\u00e6gtbaseret formel viser dem pr\u00e6cis samme tal.<\/div>\n  <\/div>\n\n  <p>To f\u00e6lder lukker denne s\u00f8jle: apps, der beregner din BMR uden nogensinde at sp\u00f8rge om din fedtprocent, og dem, der simulerer alt det andet med en koefficient anvendt p\u00e5 denne allerede forkerte BMR. Den anden f\u00e6lde fortjener sin egen del: NEAT.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\">Din BMR p\u00e5 din reelle fedtprocent, genberegnet hver uge med AI BodyScan. Gratis download.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"neat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; S\u00f8jle 2 &middot; NEAT<\/span><\/div>\n  <h2 id=\"neat\">NEAT: dit forbrug uden for sport, domineret af dine skridt<\/h2>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-neat.webp\" alt=\"\u00c9cran NEAT de Lean : pas quotidiens et calories de marche sur la semaine\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">NEAT-sk\u00e6rm<strong>Dine skridt, hver dag<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Hvad det pr\u00e6cist er<\/div>\n      <p>Den <strong>NEAT<\/strong> (Non-Exercise Activity Thermogenesis) samler alt forbrug uden for tr\u00e6ning: g\u00e5, st\u00e5, skrive p\u00e5 tastatur. Begrebet blev formaliseret af Levine (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a>): ved samme kropsbygning kan NEAT variere flere hundrede kcal om dagen fra person til person. Hans studie fra 2005 i Science (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15640470\/\" target=\"_blank\" rel=\"noopener\">PubMed 15640470<\/a>) viser, at kropsholdning og tid tilbragt st\u00e5ende strukturelt adskiller slanke personer fra overv\u00e6gtige personer. Det er TDEE's anden post for de fleste, alle detaljerne er i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT-s\u00f8jlen<\/a>.<\/p>\n    <\/div>\n  <\/div>\n\n  <h3>Gr\u00e6nsen NEAT \/ EAT: MET og t\u00e6rsklen p\u00e5 3<\/h3>\n  <p>For at adskille ikke-tr\u00e6ning fra tr\u00e6ning skal man bruge <span data-term=\"MET\">MET<span class=\"tt\">Metabolic Equivalent of Task. M\u00e5ler intensiteten af en aktivitet som et multiplum af hvileforbruget. 1 MET = hvile.<\/span><\/span> (Metabolic Equivalent of Task): intensiteten af en aktivitet, som et multiplum af dit hvileforbrug. Compendium of Physical Activities (Ainsworth 2011, <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>) opregner MET for hundredvis af aktiviteter. Den videnskabelige konvention s\u00e6tter gr\u00e6nsen ved <strong>MET = 3<\/strong> : under eller lig med, NEAT; over, EAT.<\/p>\n\n  <div class=\"metscale\" aria-label=\"MET-skala med t\u00e6rsklen p\u00e5 3, der adskiller NEAT og EAT\">\n    <div class=\"ms-head\">MET-skalaen &middot; den videnskabelige gr\u00e6nse mellem ikke-tr\u00e6ning og tr\u00e6ning<\/div>\n    <div class=\"track\">\n      <div class=\"thresh\"><\/div>\n      <div class=\"thresh-pill\">MET 3 &middot; gang &asymp; 5 km\/t<\/div>\n    <\/div>\n    <div class=\"zones\">\n      <div class=\"zn neat\">NEAT<small>ikke-tr\u00e6ning<\/small><\/div>\n      <div class=\"zn eat\">EAT<small>tr\u00e6ning<\/small><\/div>\n    <\/div>\n    <div class=\"ex\">\n      <span>Tastatur <b>1,3<\/b><\/span>\n      <span>St\u00e5ende <b>1,8<\/b><\/span>\n      <span>Langsom gang <b>2,8<\/b><\/span>\n      <span>Rask gang <b>4,3<\/b><\/span>\n      <span>Styrketr\u00e6ning <b>5,0<\/b><\/span>\n      <span>L\u00f8b 10 km\/t <b>9,8<\/b><\/span>\n    <\/div>\n  <\/div>\n\n  <p>Morsom detalje: gang falder lige p\u00e5 gr\u00e6nsen. Under 5&nbsp;km\/t h\u00f8rer den til NEAT; over, til EAT. Da man n\u00e6sten altid g\u00e5r under 5&nbsp;km\/t i hverdagen, er tiln\u00e6rmelsen meget solid: <strong>NEAT er forbruget knyttet til dit antal skridt<\/strong>. Og den bliver desto sandere, jo mere du g\u00e5r.<\/p>\n\n  <h3>Den dominerende fejl: aktivitetskoefficienten krydset af \u00e9n gang for alle<\/h3>\n  <p>Hvordan behandler n\u00e6sten alle apps din NEAT&nbsp;? De beregner den ikke. Ved tilmeldingen \u00e9t sp\u00f8rgsm\u00e5l: \u00abstillesiddende, let aktiv, aktiv, meget aktiv?\u00bb, derefter en multiplikationskoefficient anvendt p\u00e5 din BMR, \u00e9n gang, for altid. Hvilken boks skal man krydse af, n\u00e5r man er aktiv tirsdag til fredag og ubev\u00e6gelig i weekenden&nbsp;? Ingen er korrekt. En allerede forvredet BMR, ganget med en fastl\u00e5st koefficient, der h\u00e6vder at opsummere NEAT, EAT og TEF: derfor havde du ingen chance med en klassisk app.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 reelle dage, samme person<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Daglig variation i kalorieforbruget over 7 dage, mod et fast m\u00e5l p\u00e5 2400 kcal beregnet med aktivitetskoefficient\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reelt forbrug<\/strong> over 7 dage m\u00e5lt for en Lean-bruger. Den gr\u00e5 linje er det fastl\u00e5ste m\u00e5l fra en koefficient-app.<\/p>\n  <\/div>\n\n  <div class=\"keycard neat\">\n    <div class=\"kc-tag\">S\u00f8jle 2 &middot; NEAT &middot; tallet at huske<\/div>\n    <div class=\"kc-num\">+&nbsp;1&nbsp;000&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">forskel mellem en sofas\u00f8ndag foran Netflix og en dag i Disneyland med 15&nbsp;km gang. Ingen boks \u00abaktiv \/ stillesiddende\u00bb fanger det.<\/div>\n  <\/div>\n\n  <h3>Den anden f\u00e6lde: kalorierne vist af wearables<\/h3>\n  <p>Gode nyheder: din smartphone har en fremragende skridtt\u00e6ller, iOS s\u00e5vel som Android, og dens skridtt\u00e6lling er p\u00e5lidelig. Men <strong>stol aldrig p\u00e5 kalorierne vist af et ur eller et smart armb\u00e5nd<\/strong>. Valideringsstudiet af Lee og Welk om forbrugersensorer (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>) m\u00e5ler betydelige fejl i kalorieestimering, hvor visse modeller n\u00e6rmer sig det dobbelte af den reelle v\u00e6rdi. Et ur, der viser 500&nbsp;kcal forbrugt, kan meget vel svare til 250&nbsp;kcal reelt. Behold den r\u00e5 og p\u00e5lidelige data, antallet af skridt; smid den afledte og forkerte data v\u00e6k, kalorierne.<\/p>\n\n  <h3>Den rigtige metode: dine reelle skridt, krydset med din BMR<\/h3>\n  <p>Sidste finesse: NEAT afh\u00e6nger af dit stofskifte. To personer, der g\u00e5r 10&nbsp;000 skridt, forbruger ikke det samme, hvis deres fedtfri masse afviger. Lean krydser dine skridt (HealthKit p\u00e5 iPhone, Google Fit p\u00e5 Android) med din BMR beregnet p\u00e5 din fedtfri masse: din NEAT genberegnes hver dag, uden koefficient, uden boks at krydse af. Gang er den enkleste m\u00e5de at \u00f8ge dit forbrug p\u00e5, og dermed uddybe dit underskud uden at r\u00f8re din tallerken.<\/p>\n<\/section>\n\n<section aria-labelledby=\"eat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; S\u00f8jle 3 &middot; EAT<\/span><\/div>\n  <h2 id=\"eat\">EAT: din sport forbruger mindre, end du tror<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Hvad det pr\u00e6cist er<\/div>\n      <p>Den <strong>EAT<\/strong> (Exercise Activity Thermogenesis) er energien brugt under dine sportsaktiviteter: alle aktiviteter med MET over 3. Som NEAT afh\u00e6nger den af din BMR. Principformlen: <strong>EAT = sportens MET &times; BMR &times; effektiv tr\u00e6ningstid<\/strong>. MET for hver sport er i Compendium-tabellerne, og webstedets s\u00f8jle <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/eat\/\">EAT<\/a> beskriver de almindelige v\u00e6rdier i detaljer.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-eat.webp\" alt=\"\u00c9cran EAT de Lean : calories de sport par s\u00e9ance, 222 kcal par jour en moyenne\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">EAT-sk\u00e6rm<strong>Pas med effektiv tid<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>Ordet, der \u00e6ndrer alt: \u00abeffektiv\u00bb tid<\/h3>\n  <p>EAT's store f\u00e6lde ligger i \u00e9t enkelt ord: <strong>effektiv<\/strong>. Den tid, der skal medregnes, er den tid, hvor du reelt ud\u00f8ver anstrengelsen, ikke den samlede varighed af dit pas. I styrketr\u00e6ning t\u00e6ller pauserne mellem s\u00e6ttene ikke: p\u00e5 et pas p\u00e5 en time bruger du m\u00e5ske 15 til 20 minutter p\u00e5 at skubbe v\u00e6gte. I hobbytennis ligger den reelle spilletid p\u00e5 en times spil mellem 15 og 25 minutter. Resultat: et seri\u00f8st styrketr\u00e6ningspas udg\u00f8r <strong>200 til 250&nbsp;kcal<\/strong>, ikke mere.<\/p>\n\n  <h3>Den dominerende fejl: uret, der viser 1&nbsp;050&nbsp;kcal<\/h3>\n  <p>Smarture kombinerer her deres to fejl: en BMR beregnet p\u00e5 v\u00e6gt, uden fedtprocent, alts\u00e5 allerede overvurderet, og den samlede varighed af passet talt med, opvarmning, pauser og Instagram-scroll inklusive. Absurd resultat: styrketr\u00e6ningspas vist til mere end 1&nbsp;000&nbsp;kcal for et reelt forbrug p\u00e5 200 til 250. En fejlfaktor p\u00e5 4 til 5, i overensstemmelse med valideringsstudierne af forbrugersensorer (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>).<\/p>\n\n  <div class=\"watch\" aria-label=\"Kalorier vist af et smartur over for det reelle forbrug\">\n    <div class=\"w-it bad\">\n      <div class=\"k\">Smartur &middot; styrketr\u00e6ningspas 1 t<\/div>\n      <div class=\"big\">1&nbsp;050<\/div>\n      <p>kcal vist: overvurderet v\u00e6gtbaseret BMR &times; samlet varighed af passet, pauser inklusive.<\/p>\n    <\/div>\n    <div class=\"w-it good\">\n      <div class=\"k\">Korrekt beregning &middot; samme pas<\/div>\n      <div class=\"big\">&asymp;&nbsp;220<\/div>\n      <p>reelle kcal: styrketr\u00e6nings-MET &times; BMR p\u00e5 fedtfri masse &times; 15 til 20 min effektiv tid.<\/p>\n    <\/div>\n  <\/div>\n  <div class=\"watch-cap\">En faktor 4 til 5 i forskel p\u00e5 et enkelt pas. Overf\u00f8rt til en uge forsvinder hele dit underskud.<\/div>\n\n  <p>Regn p\u00e5, hvad denne fejl \u00f8del\u00e6gger. Sigtet underskud: 100&nbsp;kcal om dagen, 700 om ugen. Dit ur t\u00e6ller et pas til 1&nbsp;000&nbsp;kcal i stedet for 200: 800&nbsp;kcal fejl, hele dit ugentlige underskud slettet af et enkelt d\u00e5rligt talt pas. Hos Lean-brugere g\u00e5r denne fejl igen i n\u00e6sten alle beretninger om stagnation: \u00e5r med at overvurdere sportens forbrug p\u00e5 grund af et tal vist p\u00e5 et h\u00e5ndled.<\/p>\n\n  <div class=\"keycard eat\">\n    <div class=\"kc-tag\">S\u00f8jle 3 &middot; EAT &middot; tallet at huske<\/div>\n    <div class=\"kc-num\">5&nbsp;%<\/div>\n    <div class=\"kc-lbl\">af TDEE: det er den reelle v\u00e6gt af 5 styrketr\u00e6ningspas om ugen (&asymp;&nbsp;130&nbsp;kcal\/dag udj\u00e6vnet). Din gang kan derimod overstige 25&nbsp;% af dit daglige forbrug.<\/div>\n  <\/div>\n\n  <h3>Sportens reelle plads i dit forbrug<\/h3>\n  <p>\u00abJeg knokler i centeret og spr\u00e6nger mit forbrug\u00bb: st\u00f8rrelsesordenerne siger det modsatte. Centeret forbruger lidt, og den reelle margin for fremskridt ligger i skridtene. I Lean v\u00e6lger du din sport i EAT-sektionen, du indtaster den reelt ud\u00f8vede tid eller intensiteten, og appen laver beregningen MET &times; BMR &times; effektiv tid med dit rigtige stofskifte. Ingen fantasifuld bonus, intet pas p\u00e5 1&nbsp;000&nbsp;kcal.<\/p>\n<\/section>\n\n<section aria-labelledby=\"tef\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; S\u00f8jle 4 &middot; TEF<\/span><\/div>\n  <h2 id=\"tef\">TEF: at ford\u00f8je forbr\u00e6nder kalorier, og ikke til fast sats<\/h2>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-tef.webp\" alt=\"\u00c9cran calories de Lean : macros de la semaine et TEF calcul\u00e9e, 245 kcal\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Kalorier-sk\u00e6rm<strong>TEF udledt af makroerne<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Hvad det pr\u00e6cist er<\/div>\n      <p>Den <strong>TEF<\/strong> (Thermic Effect of Food) er madens termiske effekt: den energi, din krop bruger p\u00e5 at ford\u00f8je, optage og oms\u00e6tte det, du spiser. Ja, at spise f\u00e5r dig til at forbruge kalorier. Det er TDEE's mest glemte post: de fleste trackere beregner den simpelthen ikke eller maser den ind i den ber\u00f8mte aktivitetskoefficient. <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">S\u00f8jlen om madens termiske effekt<\/a> er helt viet til den.<\/p>\n    <\/div>\n  <\/div>\n\n  <h3>Den dominerende fejl: den faste sats p\u00e5 10&nbsp;%<\/h3>\n  <p>N\u00e5r TEF medregnes, er det n\u00e6sten altid til fast sats: \u00abcirka 10&nbsp;% af de indtagne kalorier\u00bb. Men TEF afh\u00e6nger massivt af <strong>makron\u00e6ringsstofferne<\/strong>, som fastsl\u00e5et i Westerterps referenceoversigt (2004, <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a>) :<\/p>\n\n  <div class=\"tefbars\" aria-label=\"Ford\u00f8jelsesomkostning per makron\u00e6ringsstof: protein 20 til 30 %, kulhydrater 5 til 10 %, fedt 1 til 3 %\">\n    <div class=\"tb-head\">Ford\u00f8jelsesomkostning &middot; i % af makroens indtagne kalorier<\/div>\n    <div class=\"tb p\"><div class=\"lab\">Protein<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">20 til 30&nbsp;%<\/div><\/div>\n    <div class=\"tb g\"><div class=\"lab\">Kulhydrater<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">5 til 10&nbsp;%<\/div><\/div>\n    <div class=\"tb l\"><div class=\"lab\">Fedt<\/div><div class=\"bar\"><i><\/i><\/div><div class=\"v\">1 til 3&nbsp;%<\/div><\/div>\n    <div class=\"tb-cap\">Spis 100&nbsp;kcal protein: 20 til 30&nbsp;kcal g\u00e5r til ford\u00f8jelsen. Spis 100&nbsp;kcal fedt: 1 til 3&nbsp;kcal. \u00abFast sats 10&nbsp;%\u00bb kan ikke fange det.<\/div>\n  <\/div>\n\n  <h3>Eksemplet i tal: 7&nbsp;% reelt mod 10&nbsp;% antaget<\/h3>\n  <p>Tag den gennemsnitlige kostfordeling for en fransk voksen if\u00f8lge folkesundhedsdata: cirka 45&nbsp;% kulhydrater, 42&nbsp;% fedt, 13&nbsp;% protein. Regn makro for makro: du f\u00e5r en reel TEF t\u00e6ttere p\u00e5 <strong>7&nbsp;% af det samlede kalorieindtag end p\u00e5 10&nbsp;%<\/strong>.<\/p>\n\n  <div class=\"keycard tef\">\n    <div class=\"kc-tag\">S\u00f8jle 4 &middot; TEF &middot; tallet at huske<\/div>\n    <div class=\"kc-num\">100&nbsp;kcal<\/div>\n    <div class=\"kc-lbl\">daglig fejl mellem \u00abfast sats 10&nbsp;%\u00bb og den reelle TEF (&asymp;&nbsp;7&nbsp;%) p\u00e5 en kost med 3&nbsp;000&nbsp;kcal. Halvdelen af et let underskud, tabt hver dag.<\/div>\n  <\/div>\n\n  <p>R\u00e6sonnementet virker ogs\u00e5 til din fordel: \u00f8g din proteinandel, og din TEF stiger mekanisk. Det er en af grundene (sammen med beskyttelsen af muskler) til, at \u00abspis mere protein i cut\u00bb er et af de f\u00e5 universelt gode r\u00e5d.<\/p>\n\n  <h3>Den rigtige metode: beregn TEF p\u00e5 dine reelle makroer<\/h3>\n  <p>Den eneste rene m\u00e5de at beregne TEF p\u00e5 er at udlede den af de makroer, du reelt har spist i l\u00f8bet af dagen. Det er det, Lean g\u00f8r: hver tracket f\u00f8devare fodrer beregningen, og din pr\u00e6cise TEF l\u00e6gges til dit forbrug i takt med m\u00e5ltiderne. Tracker du dine m\u00e5ltider, er din TEF allerede beregnet, uden ekstra arbejde.<\/p>\n<\/section>\n\n<section aria-labelledby=\"adaptation\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; 5. byggesten &middot; Tilpasning<\/span><\/div>\n  <h2 id=\"adaptation\">Den metaboliske tilpasning: den endelige boss<\/h2>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Hvad det pr\u00e6cist er<\/div>\n      <p>Du kan l\u00e6gge dine 4 poster sammen. Der er \u00e9t trin tilbage, det fineste og m\u00e5ske det vigtigste i guiden. I kalorieunderskud forst\u00e5r din krop, at den f\u00e5r mindre energi, og i en overlevelseslogik <strong>tilpasser den sit stofskifte<\/strong> : den sparer overalt, mens den forbliver fuldt funktionel. Som str\u00f8msparetilstand p\u00e5 din iPhone: du ser n\u00e6sten ikke forskellen i brug, men forbruget styrtdykker.<\/p>\n      <p>Afg\u00f8rende pointe: den metaboliske tilpasning <strong>l\u00e6gges ikke til<\/strong> de 4 poster. Det er en koefficient, der kommer og <strong>modulerer din BMR<\/strong> nedad. Og da din NEAT og din EAT selv afh\u00e6nger af BMR, er det n\u00e6sten hele din TDEE, der tr\u00e6kkes nedad. Lean viser den efter en klar konvention: en score, der starter p\u00e5 <strong>100&nbsp;% (optimalt stofskifte, ingen tilpasning)<\/strong> og falder i takt med underskuddet. En score p\u00e5 90&nbsp;% betyder, at dit stofskifte k\u00f8rer p\u00e5 90&nbsp;% af sit optimale niveau.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:190px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/pu-app-depense.webp\" alt=\"\u00c9cran D\u00e9pense de Lean : les 4 postes du TDEE et le score d'adaptation m\u00e9tabolique \u00e0 96 %\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Forbrug-sk\u00e6rm<strong>Tilpasningsscore 96&nbsp;%<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <h3>Det, studierne siger: fra 5 til 25&nbsp;% efter underskuddet<\/h3>\n  <p>F\u00e6nomenet er solidt dokumenteret: Doucet 2001 m\u00e5lte en reel adaptiv termogenese under v\u00e6gttab (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/a>), M\u00fcller og Bosy-Westphal kvantificerede tilpasningen ved at genbes\u00f8ge de historiske Minnesota-data (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>), og Hall modellerede det reelt n\u00f8dvendige underskud per tabt v\u00e6gtenhed (<a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>). St\u00f8rrelsesordenerne at huske, efter 2 til 8 ugers underskud:<\/p>\n  <ul>\n    <li>Underskud p\u00e5 cirka <strong>&minus;250&nbsp;kcal\/dag<\/strong> : tilpasning p\u00e5 5 til 10&nbsp;%, din score falder mod 90 til 95&nbsp;%.<\/li>\n    <li>Underskud p\u00e5 cirka <strong>&minus;500&nbsp;kcal\/dag<\/strong> : tilpasning p\u00e5 10 til 15&nbsp;%, score mod 85 til 90&nbsp;%.<\/li>\n    <li>Underskud p\u00e5 cirka <strong>&minus;750&nbsp;kcal\/dag<\/strong> : tilpasning p\u00e5 15 til 25&nbsp;%, score mod 75 til 85&nbsp;%.<\/li>\n  <\/ul>\n  <p>Sammenhold med din egen plan: planlagt underskud p\u00e5 10&nbsp;%, tilpasning p\u00e5 10&nbsp;%, reelt underskud nul. Du er p\u00e5 vedligehold, med f\u00f8lelsen af at g\u00f8re alverdens anstrengelser. Uanset kvaliteten af din udgangsberegning: din reelle TDEE er gledet under din beregnede TDEE, uge efter uge, i stilhed.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 ugers underskud p\u00e5 &minus;500 kcal\/d<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"Reel TDEE, der falder fra 2500 til 2150 kcal over 8 ugers underskud, mens den beregnede TDEE forbliver frosset p\u00e5 2500\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reel TDEE mod beregnet TDEE.<\/strong> Uden opf\u00f8lgning af tilpasningen smelter dit underskud uge efter uge, uden at du ser det.<\/p>\n  <\/div>\n\n  <div class=\"keycard adapt\">\n    <div class=\"kc-tag\">5. byggesten &middot; Tilpasning &middot; tallet at huske<\/div>\n    <div class=\"kc-num\">95&nbsp;%<\/div>\n    <div class=\"kc-lbl\">tager aldrig den metaboliske tilpasning i betragtning. Det er forklaring nummer 1 p\u00e5 de \u00abuforst\u00e5elige\u00bb plateauer efter 4 til 8 ugers seri\u00f8s di\u00e6t.<\/div>\n  <\/div>\n\n  <h3>S\u00e5dan h\u00e5ndterer du den: frivillige plateauer og tilbagevenden til 100&nbsp;%<\/h3>\n  <p>Et vellykket v\u00e6gttab er ikke en altid faldende kurve. God praksis: skift mellem underskud og <strong>frivillige plateauer p\u00e5 vedligehold<\/strong> , som nulstiller dit stofskifte. N\u00e5r din tilpasningsscore n\u00e5r zonen 85 til 90&nbsp;%, s\u00e5 g\u00e5 tilbage til vedligehold i nogle uger: din BMR stiger igen, din score vender tilbage mod 100&nbsp;%, og du forts\u00e6tter med en effektiv tabsfase. Ved kontinuerligt underskud vokser tilpasningen, indtil den blokerer: du taber n\u00e6sten ikke l\u00e6ngere, mens du spiser meget lidt. Det er den klassiske spiral ved for h\u00e5rde di\u00e6ter.<\/p>\n  <p>Det praktiske problem: ingen klassisk tracker fort\u00e6ller dig, hvor du st\u00e5r. Lean er den <strong>f\u00f8rste app i verden til at beregne den metaboliske tilpasning automatisk<\/strong> : den estimerer din tilpasning i takt med dine uger i underskud, modulerer din BMR og viser din score i procent. Dit kaloriem\u00e5l er fastsat p\u00e5 din reelle TDEE, ikke p\u00e5 din teoretiske start-TDEE. Til underskuddets omfang hj\u00e6lper <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calculateur-deficit-calorique\/\">beregner for kalorieunderskud<\/a> dig med at starte p\u00e5 et sundt grundlag: markant de f\u00f8rste uger, n\u00e5r motivationen er h\u00f8j, derefter aftagende.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\">Din metaboliske tilpasning beregnet automatisk, dit m\u00e5l fastsat p\u00e5 din reelle TDEE. 7 dages gratis pr\u00f8veperiode.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Indtaget<\/span><\/div>\n  <h2 id=\"tracking\">Og nu, de kalorier du spiser<\/h2>\n  <p>Dit forbrug er beregnet, den anden v\u00e6gtsk\u00e5l mangler: indtaget. Denne guide har n\u00e6sten ikke talt om mad indtil nu, og det er bevidst: du kan ikke styre et underskud, hvis udgangspunkt du ikke kender. Nu hvor dit forbrug er solidt, bliver det enkelt at tracke dine kalorier. Tre metoder d\u00e6kker alle brugssituationer:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es alimentaire USDA et OpenFoodFacts de Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres d'un produit dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 2<strong>Stregkode<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 3<strong>AI-fotoscanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <p><strong>Databasen<\/strong> (USDA + OpenFoodFacts i Lean) til de r\u00e5 f\u00f8devarer, du vejer. <strong>Stregkodescanning<\/strong> til supermarkedsprodukter. Og <strong>AI-fotoscanning<\/strong> til alt det andet: AI'en identificerer f\u00f8devarerne p\u00e5 din tallerken og beregner kalorier og makroer per f\u00f8devare. P\u00e5 restaurant, hos venner, p\u00e5 ferie: et foto, s\u00e5 er det klaret. Mindre pr\u00e6cist end en vejning p\u00e5 grammet, men en metode, der holder 12 m\u00e5neder, sl\u00e5r altid en perfekt metode opgivet efter 3 uger. Guiden til <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/meilleures-applications-calories-2026\/\">de bedste kalorie-apps<\/a> sammenligner markedets tilgange.<\/p>\n  <p>Bonus, der \u00e6ndrer hverdagen: i Lean opdateres dit forbrug <strong>live i l\u00f8bet af dagen<\/strong>. Jo mere du g\u00e5r, jo mere stiger din TDEE for dagen, og din kaloriebalance opdateres i realtid. Du ved hvert \u00f8jeblik, hvor du st\u00e5r med dit underskud.<\/p>\n\n  <h3>Et ord om makroer, bevidst gemt til sidst<\/h3>\n  <p>N\u00e5r dit underskud er sikret, er den eneste virkelig vigtige makrojustering enkel: <strong>\u00f8g dit protein<\/strong>. Cirka 2,2&nbsp;g per kg fedtfri masse i protein, cirka 1&nbsp;g per kg fedtfri masse i fedt, resten i kulhydrater. Protein beskytter dine muskler i underskud og \u00f8ger din TEF, som du s\u00e5 i s\u00f8jle 4. Resten (fin fordeling, low carb eller ej, faste eller ej) er et sp\u00f8rgsm\u00e5l om personlig pr\u00e6ference: v\u00e6lg det, du kan holde ved.<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leans Progressionspyramide\">\n    <div class=\"level l1\"><span>Vedholdenhed<\/span><span class=\"k\">Bund<\/span><\/div>\n    <div class=\"level l2\"><span>Kaloriem\u00e5l<\/span><span class=\"k\">Etage 2<\/span><\/div>\n    <div class=\"level l3\"><span>Skridt \/ NEAT<\/span><span class=\"k\">Etage 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e6ringsstoffer<\/span><span class=\"k\">Top<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Progressionspyramiden, som vist i Lean: hver etage giver kun mening, hvis den nedenunder er solid.<\/div>\n<\/section>\n\n<section aria-labelledby=\"checklist\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Tjekliste<\/span><\/div>\n  <h2 id=\"checklist\">Tjeklisten til at beregne dit reelle forbrug<\/h2>\n  <p>Hele guiden, kondenseret i 8 handlingspunkter. Krydser du alle 8 af, ved du pr\u00e6cis, om du er i underskud, vedligehold eller overskud, og hvor meget.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Drop de v\u00e6gtbaserede formler<\/div><p class=\"fd\">Harris-Benedict 1919 og populationsformlerne overvurderer din BMR. Dit stofskifte f\u00f8lger din fedtfri masse: v\u00e6gt &times; (1 &minus; fedtprocent).<\/p><\/div><div class=\"fc\">BMR<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">M\u00e5l din fedtprocent hver uge<\/div><p class=\"fd\">Hudfoldsm\u00e5ler og impedansv\u00e6gt: for upr\u00e6cise. DEXA: utilg\u00e6ngelig i rutine. AI BodyScan: et foto, 5 sekunder, hver uge.<\/p><\/div><div class=\"fc\">Fedtprocent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Vej dig ofte, under samme betingelser<\/div><p class=\"fd\">Om morgenen, fastende. Det er tendensen over flere uger, der t\u00e6ller, aldrig tallet fra en enkelt dag.<\/p><\/div><div class=\"fc\">Opf\u00f8lgning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Udled din NEAT af dine reelle skridt<\/div><p class=\"fd\">Din smartphones skridtt\u00e6ller er p\u00e5lidelig, dit urs kalorier er det ikke. NEAT = reelle skridt krydset med din rigtige BMR, hver dag.<\/p><\/div><div class=\"fc\">NEAT<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Beregn din EAT p\u00e5 effektiv tid<\/div><p class=\"fd\">Sportens MET &times; BMR &times; reelt ud\u00f8vet tid. En times styrketr\u00e6ning er 200 til 250 kcal. Aldrig 1 000.<\/p><\/div><div class=\"fc\">EAT<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">Beregn din TEF p\u00e5 dine makroer<\/div><p class=\"fd\">Protein 20 til 30 %, kulhydrater 5 til 10 %, fedt 1 til 3 %. Ingen fast sats p\u00e5 10 %. Ved 3 000 kcal\/dag n\u00e6rmer forskellen sig 100 kcal.<\/p><\/div><div class=\"fc\">TEF<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">07<\/div><div><div class=\"ft\">Hold \u00f8je med din metaboliske tilpasning<\/div><p class=\"fd\">Score p\u00e5 100 % (optimalt), der falder i underskud. Omkring 85-90 %, g\u00e5 tilbage til vedligehold for at nulstille dit stofskifte, og forts\u00e6t s\u00e5.<\/p><\/div><div class=\"fc\">Tilpasning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">08<\/div><div><div class=\"ft\">Fasts\u00e6t dit underskud p\u00e5 din reelle TDEE<\/div><p class=\"fd\">Markant underskud i starten, hvis du vil, derefter aftagende. Og track dine m\u00e5ltider med den metode, du kan holde i 12 m\u00e5neder: base, stregkode eller foto.<\/p><\/div><div class=\"fc\">Underskud<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">G\u00f8re alt manuelt, med regneark og MET-tabeller, eller lade Lean k\u00f8re de 5 beregninger i baggrunden. Hos brugere, der kommer fra Excel-regneark, er konstateringen enstemmig: pr\u00e6cisionen er den samme, vedholdenheden er noget helt andet.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Ofte stillede sp\u00f8rgsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details><summary>Hvordan beregner man sit daglige kalorieforbrug&nbsp;?<\/summary><div class=\"ans\">Ved at l\u00e6gge de 4 forbrugsposter sammen: TDEE = BMR + NEAT + EAT + TEF. BMR beregnes p\u00e5 din fedtfri masse (alts\u00e5 din reelle fedtprocent), NEAT p\u00e5 dine reelle skridt, EAT p\u00e5 dine tr\u00e6ningspas med effektiv tid, TEF p\u00e5 de makroer, du spiser. Den 5. byggesten, den metaboliske tilpasning, modulerer din BMR nedad ved langvarigt underskud: den l\u00e6gges ikke til, den ganger.<\/div><\/details>\n    <details><summary>Hvad er forskellen mellem BMR og TDEE&nbsp;?<\/summary><div class=\"ans\">BMR (basalstofskiftet) er den energi, din krop forbr\u00e6nder i fuldst\u00e6ndig hvile, liggende i 24 timer: organer, hjerne, kredsl\u00f8b. TDEE er dit samlede daglige forbrug: BMR, plus dine skridt og daglige aktiviteter (NEAT), plus din sport (EAT), plus ford\u00f8jelsen (TEF). BMR er den st\u00f8rste post, men den er kun en del af TDEE.<\/div><\/details>\n    <details><summary>Hvorfor taber jeg mig ikke, selv om jeg er i kalorieunderskud&nbsp;?<\/summary><div class=\"ans\">I langt de fleste tilf\u00e6lde fordi du ikke reelt er i underskud: din TDEE er blevet overvurderet (v\u00e6gtbaseret formel uden fedtprocent, fastl\u00e5st aktivitetskoefficient, ur, der puster sportskalorierne op), eller din reelle TDEE er faldet p\u00e5 grund af den metaboliske tilpasning. Tror du, du forbruger 2&nbsp;500&nbsp;kcal, men forbruger 2&nbsp;200, findes et teoretisk underskud p\u00e5 250&nbsp;kcal ikke.<\/div><\/details>\n    <details><summary>Er smarture p\u00e5lidelige til forbr\u00e6ndte kalorier&nbsp;?<\/summary><div class=\"ans\">Nej til kalorier, ja til skridt. Studier af forbrugersensorer m\u00e5ler fejl, der kan n\u00e6rme sig det dobbelte af det reelle forbrug p\u00e5 kalorier, fordi de tager udgangspunkt i en v\u00e6gtbaseret BMR og t\u00e6ller den samlede tid for passet. Antallet af skridt er derimod en meget pr\u00e6cis r\u00e5 data p\u00e5 nutidens smartphones og ure: brug det, og overlad kalorieberegningen til et v\u00e6rkt\u00f8j, der kender din fedtprocent.<\/div><\/details>\n    <details><summary>Hvor mange kalorier forbr\u00e6nder et styrketr\u00e6ningspas egentlig&nbsp;?<\/summary><div class=\"ans\">Omkring 200 til 250&nbsp;kcal for et klassisk pas, fordi kun den effektive tid under stangen t\u00e6ller, ikke pauserne mellem s\u00e6ttene. Et ur, der viser 1&nbsp;000&nbsp;kcal for samme pas, tager fejl med en faktor 4 til 5: det t\u00e6ller hele timen i stedet for de 15 til 20 minutters reelle anstrengelse, p\u00e5 en allerede overvurderet BMR.<\/div><\/details>\n    <details><summary>T\u00e6ller gang som sport i beregningen&nbsp;?<\/summary><div class=\"ans\">Den videnskabelige gr\u00e6nse mellem ikke-tr\u00e6ning (NEAT) og tr\u00e6ning (EAT) er en MET p\u00e5 3, og gang ligger lige p\u00e5 den. I praksis: under 5&nbsp;km\/t h\u00f8rer din gang til NEAT; over, til EAT. Da man n\u00e6sten altid g\u00e5r under 5&nbsp;km\/t i hverdagen, er tiln\u00e6rmelsen NEAT = forbrug knyttet til skridt fremragende, og desto sandere, jo mere du g\u00e5r.<\/div><\/details>\n    <details><summary>Hvad er metabolisk tilpasning, og hvordan h\u00e5ndterer man den&nbsp;?<\/summary><div class=\"ans\">Ved langvarigt underskud g\u00e5r din krop i str\u00f8msparetilstand og reducerer sit stofskifte: det er den metaboliske tilpasning, m\u00e5lt mellem 5 og 25&nbsp;% efter underskuddets omfang og varighed. Lean viser den som en score, der starter p\u00e5 100&nbsp;% (optimalt) og falder. N\u00e5r du n\u00e5r zonen 85-90&nbsp;%, s\u00e5 vend tilbage til vedligehold i nogle uger for at nulstille dit stofskifte, og g\u00e5 derefter i underskud igen.<\/div><\/details>\n    <details><summary>Hvordan kender man sin fedtprocent uden DEXA-scanning&nbsp;?<\/summary><div class=\"ans\">DEXA er stadig referencen, men den er dyr og lidt tilg\u00e6ngelig i rutine. Hudfoldsm\u00e5leren og impedansv\u00e6gten er for upr\u00e6cise til at styre en BMR-beregning. Den mest praktisable metode i dag: en AI BodyScan, tr\u00e6net p\u00e5 banker af DEXA-scanninger. Du tager et foto af dig selv, du f\u00e5r din estimerede fedtprocent p\u00e5 f\u00e5 sekunder, og du kan gentage det hver uge.<\/div><\/details>\n    <details><summary>\u00c6ndrer min TDEE sig fra dag til dag&nbsp;?<\/summary><div class=\"ans\">Ja, og nogle gange med mere end 1&nbsp;000&nbsp;kcal. Din BMR er stabil p\u00e5 kort sigt, men din NEAT afh\u00e6nger af dagens skridt, din EAT af dine pas, og din TEF af det, du spiser. En sofas\u00f8ndag og en l\u00f8rdag p\u00e5 g\u00e5ben har ikke samme forbrug. Derfor kan et fastl\u00e5st kaloriem\u00e5l beregnet \u00e9n gang ved tilmeldingen ikke styre et pr\u00e6cist underskud.<\/div><\/details>\n    <details><summary>Er Lean gratis eller betalt&nbsp;?<\/summary><div class=\"ans\">Lean er Premium med 7 dages gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet. Gratis download i App Store og Google Play: du tester AI BodyScan, den live opdelte TDEE og fotoscanningen af m\u00e5ltider, og s\u00e5 beslutter du.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; Konklusion<\/span><\/div>\n  <h2 id=\"conclu\">Du har nu alle v\u00e5bnene<\/h2>\n  <p>Alle moderne di\u00e6ter er blot taktikker i tjeneste for \u00e9n enkelt teori: energibalancen. Den fungerer kun, hvis du kender dit forbrug, og dit forbrug g\u00e6ttes ikke: det beregnes.<\/p>\n\n  <div class=\"eqcard\" aria-label=\"TDEE-ligningen: BMR plus NEAT plus EAT plus TEF, med den metaboliske tilpasning separat, der modulerer BMR\">\n    <div class=\"eq-line\"><span class=\"eq-p k-tdee\">TDEE<\/span> = <span class=\"eq-p k-bmr\">BMR<\/span> + <span class=\"eq-p k-neat\">NEAT<\/span> + <span class=\"eq-p k-eat\">EAT<\/span> + <span class=\"eq-p k-tef\">TEF<\/span><\/div>\n    <div class=\"eq-note\"><span class=\"eq-p\">Metabolisk tilpasning<\/span> separat: den modulerer BMR (score 100&nbsp;% optimalt, der falder i underskud), aldrig i summen.<\/div>\n  <\/div>\n\n  <p>Hver fejl i denne guide beg\u00e5r millioner af mennesker lige nu: formlen fra 1919, boksen \u00abaktiv\u00bb krydset af for seks m\u00e5neder siden, styrketr\u00e6ningspasset talt til 1&nbsp;000&nbsp;kcal, TEF ignoreret, tilpasningen aldrig fulgt. Ingen af dem kan ses, alle betales med uger af stagnation. Nu ved du, hvordan du undg\u00e5r dem: manuelt, hvis du elsker regneark, eller med Lean, som k\u00f8rer de 5 beregninger kontinuerligt, mens du lever, g\u00e5r og fotograferer dine m\u00e5ltider.<\/p>\n  <p>M\u00e5let er det samme for alle: at blive defineret, og forblive det, uden at ofre dit sociale liv eller din mentale sundhed. Teorien er der, v\u00e6rkt\u00f8jerne ogs\u00e5. Resten er vedholdenhed.<\/p>\n  <p><strong>Lean-teamet<\/strong><\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean kan downloades gratis<\/h3>\n  <p>iOS og Android. BMR p\u00e5 reel fedtprocent, NEAT p\u00e5 reelle skridt, EAT per pas, TEF fra makroer, automatisk metabolisk tilpasning. Den eneste app, der beregner alle 5.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean i App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\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=pilier-ultime\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean p\u00e5 Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Intern linkning<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">Gratis TDEE-beregner online<\/a> &middot; din estimerede TDEE p\u00e5 30 sekunder, samme logik som appen.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calcul-metabolisme-de-base\/\">Beregner for basalstofskifte<\/a> &middot; din BMR p\u00e5 din fedtfri masse.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/calculateur-deficit-calorique\/\">Kalorieunderskudsberegner<\/a> &middot; v\u00e6lg omfanget af dit underskud uden at br\u00e6nde ud.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">Det samlede energiforbrug (TDEE) i detaljer<\/a> &middot; den komplette videnskabelige s\u00f8jle.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\">Basalstofskiftet (BMR)<\/a> &middot; den f\u00f8rste post i dit forbrug.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT, forbruget uden for sport<\/a> &middot; hvorfor dine skridt vejer mere end dit fitnesscenter.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/eat\/\">EAT, forbruget knyttet til sport<\/a> &middot; MET, effektiv tid og reelle v\u00e6rdier per pas.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">Madens termiske effekt (TEF)<\/a> &middot; ford\u00f8jelsen, TDEE's glemte post.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/\">Lean over for MyFitnessPal<\/a> &middot; det, en l\u00f8bende genberegnet TDEE \u00e6ndrer.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/meilleures-applications-calories-2026\/\">De bedste kalorie-apps 2026<\/a> &middot; den komplette markedssammenligning.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Kilder<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington. Den historiske v\u00e6gtbaserede ligning, pillet fra hinanden i denne guide.<\/li>\n    <li>Mifflin M.D., St Jeor S.T. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Frankenfield D.C. (2013). Bias and accuracy of resting metabolic rate equations in non-obese and obese adults. Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>Levine J.A. (2002). Non-exercise activity thermogenesis (NEAT). Best Practice &amp; Research Clinical Endocrinology &amp; Metabolism. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a>.<\/li>\n    <li>Levine J.A. et al. (2005). Interindividual variation in posture allocation: possible role in human obesity. Science. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15640470\/\" target=\"_blank\" rel=\"noopener\">PubMed 15640470<\/a>.<\/li>\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. Medicine &amp; Science in Sports &amp; Exercise. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/li>\n    <li>Lee J.M., Kim Y., Welk G.J. (2014). Validity of consumer-based physical activity monitors. Medicine &amp; Science in Sports &amp; Exercise. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24777201\/\" target=\"_blank\" rel=\"noopener\">PubMed 24777201<\/a>.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition &amp; Metabolism. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a>.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/a>.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2015). Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n    <li>Hall K.D. (2008). What is the required energy deficit per unit weight loss? International Journal of Obesity. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17848938\/\" target=\"_blank\" rel=\"noopener\">PubMed 17848938<\/a>.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Guide publiceret 16. august 2026 af Lean-teamet. Opdateres regelm\u00e6ssigt med brugerfeedback og nye relevante studier. Lean f\u00e5s til iOS og Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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=pilier-ultime\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(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:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var subMap = {BMR:1, NEAT:1, EAT:1, TEF:1};\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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}\n})();\n<\/script><\/div>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Comment calculer sa d\u00e9pense calorique journali\u00e8re ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"En additionnant les 4 postes de d\u00e9pense : TDEE = BMR + NEAT + EAT + TEF. Le BMR se calcule sur ta masse maigre (donc ton bodyfat r\u00e9el), la NEAT sur tes pas r\u00e9els, la EAT sur tes s\u00e9ances de sport au temps effectif, la TEF sur les macros que tu manges. La 5\u00e8me brique, l'adaptation m\u00e9tabolique, module ton BMR \u00e0 la baisse en d\u00e9ficit prolong\u00e9 : elle ne s'additionne pas, elle multiplie.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Quelle est la diff\u00e9rence entre BMR et TDEE ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Le BMR (m\u00e9tabolisme de base) est l'\u00e9nergie que ton corps br\u00fble au repos complet, allong\u00e9 24 heures : organes, cerveau, circulation. Le TDEE est ta d\u00e9pense totale journali\u00e8re : le BMR, plus tes pas et activit\u00e9s quotidiennes (NEAT), plus ton sport (EAT), plus la digestion (TEF). 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Une montre qui affiche 1 000 kcal pour cette m\u00eame s\u00e9ance se trompe d'un facteur 4 \u00e0 5 : elle compte l'heure enti\u00e8re au lieu des 15 \u00e0 20 minutes d'effort r\u00e9el, sur un BMR d\u00e9j\u00e0 surestim\u00e9.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"La marche compte-t-elle comme du sport dans le calcul ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"La fronti\u00e8re scientifique entre non-exercice (NEAT) et exercice (EAT) est un MET de 3, et la marche se trouve pile dessus. En pratique : en dessous de 5 km\/h, ta marche rel\u00e8ve de la NEAT ; au-dessus, de la EAT. Comme on marche presque toujours sous les 5 km\/h au quotidien, l'approximation NEAT = d\u00e9pense li\u00e9e aux pas est excellente, et d'autant plus vraie que tu marches beaucoup.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Qu'est-ce que l'adaptation m\u00e9tabolique et comment la g\u00e9rer ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"En d\u00e9ficit prolong\u00e9, ton corps passe en mode \u00e9conomie d'\u00e9nergie et r\u00e9duit son m\u00e9tabolisme : c'est l'adaptation m\u00e9tabolique, mesur\u00e9e entre 5 et 25 % selon l'ampleur et la dur\u00e9e du d\u00e9ficit. Lean l'affiche comme un score qui part de 100 % (optimal) et descend. 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Tu te prends en photo, tu obtiens ton bodyfat estim\u00e9 en quelques secondes, et tu peux le refaire chaque semaine.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Mon TDEE change-t-il d'un jour \u00e0 l'autre ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Oui, et parfois de plus de 1 000 kcal. Ton BMR est stable \u00e0 court terme, mais ta NEAT d\u00e9pend de tes pas du jour, ta EAT de tes s\u00e9ances, et ta TEF de ce que tu manges. Un dimanche canap\u00e9 et un samedi de visite \u00e0 pied n'ont pas la m\u00eame d\u00e9pense. C'est pour \u00e7a qu'un objectif calorique fig\u00e9 calcul\u00e9 une fois \u00e0 l'inscription ne peut pas piloter un d\u00e9ficit pr\u00e9cis.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Lean est-il gratuit ou payant ?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Lean est Premium, avec un essai gratuit de 7 jours sur l'abonnement annuel. T\u00e9l\u00e9chargement gratuit sur App Store et Google Play : tu testes le BodyScan IA, le TDEE d\u00e9compos\u00e9 en direct et le scan photo de repas, puis tu d\u00e9cides.\"\n      }\n    }\n  ]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"MobileApplication\",\n  \"name\": \"Lean\",\n  \"operatingSystem\": \"iOS, Android\",\n  \"applicationCategory\": \"HealthApplication\",\n  \"url\": \"https:\/\/lean-app.com\/\",\n  \"downloadUrl\": [\n    \"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&utm_medium=blog&utm_campaign=pilier-ultime\",\n    \"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&utm_source=seo&utm_medium=blog&utm_campaign=pilier-ultime\"\n  ]\n}\n<\/script>\n\n\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">L\u00e6s ogs\u00e5<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TDEE-beregner: den kanoniske formel BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Fedtprocentbevidst beregner med opdeling af de 4 metaboliske byggesten.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Beregning af basalstofskifte: den mest pr\u00e6cise formel (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Harris-Benedict 1919 vs Mifflin 1990 vs Lean fedtprocentbevidst.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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;\">Beregner for kalorieunderskud: den rette tilgang til et cut <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Underskud p\u00e5 din reelle fedtprocentbevidste TDEE. 3 tempi langsomt\/moderat\/aggressivt.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/calculateur-adaptation-metabolique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Beregner for metabolisk tilpasning: er dit stofskifte bremset? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Koefficient 100 til 0 %, tilpasset BMR i kcal\/dag, og hvorn\u00e5r du skal tage en diet break.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/perdre-du-poids-avec-chatgpt\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">At tabe sig med ChatGPT, virker det? Vi stillede sp\u00f8rgsm\u00e5let 291 gange til 5 AI'er <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">291 svar, 5 AI'er, 6 identiske profiler: op til 1.260 kcal forskel for den samme person, og ingen opf\u00f8lgning dagen efter.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/10000-pas-calories\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">10.000 skridt om dagen: hvor mange kalorier det virkelig forbr\u00e6nder <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Mellem 300 og 550 kcal efter v\u00e6gt. Tabel pr. profil, offentlig formel, beregner.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Samlet energiforbrug (TDEE): den kanoniske formel BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Forst\u00e5 de 4 byggesten + den metaboliske tilpasning, videnskabelige kilder 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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;\">Basalstofskifte (BMR): alt du skal vide for at beregne det <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definition, TDEE-ligning, 4 historiske formler, hvorfor fedtprocenten \u00e6ndrer alt.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Calculer sa vraie d\u00e9pense calorique Guide de r\u00e9f\u00e9rence &middot; D\u00e9pense calorique &amp; TDEE Comment calculer ta vraie d\u00e9pense calorique. Le guide complet : BMR, NEAT, EAT, TEF, et la 5\u00e8me brique que 95&nbsp;% des gens ignorent. Si tu tracks tes calories sans tracker ta d\u00e9pense avec la m\u00eame rigueur, tu [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1806,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>S\u00e5dan beregner du dit kalorieforbrug (TDEE): guiden<\/title>\n<meta name=\"description\" content=\"Den komplette guide til at beregne dit reelle kalorieforbrug: BMR p\u00e5 reel fedtprocent, NEAT per skridt, EAT per pas, TEF per makroer, metabolisk tilpasning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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