{"id":1241,"date":"2026-05-21T18:28:26","date_gmt":"2026-05-21T18:28:26","guid":{"rendered":"https:\/\/lean-app.com\/?p=1241"},"modified":"2026-09-05T10:53:33","modified_gmt":"2026-09-05T10:53:33","slug":"lean-vs-myfitnesspal","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal : la formule TDEE qui change tout"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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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;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\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #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-1241 #lvm-shell .wrap,\nbody.postid-1241 #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-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #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-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #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-1241 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1241 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1241 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1241 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1241 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"MFP\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#5B7FFF!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1241 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1241 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1241 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1241 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1241 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1241 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1241 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1241 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1241 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1241 #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-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!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=\"Accueil Lean\">\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\/tdee-calculator\/\">Calculateur TDEE<\/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=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger sur l'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=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"Disponible sur 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\/\">Accueil<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">Sammenligning &middot; Ern\u00e6ring &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">La formule TDEE qui change tout. 1919 face \u00e0 2025, en science.<\/span>\n  <\/h1>\n  <p class=\"dek\">Hvorfor MyFitnessPal tager fejl af 80&nbsp;% af brugerne, og alternativet, der g\u00f8r det, MFP ikke kan.<\/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>L&rsquo;\u00e9quipe Lean<\/strong> &middot; L\u00e6setid 12&nbsp;min &middot; Opdateret 21. maj 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=vs-mfp\" 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=vs-mfp\" 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\">T\u00e9l\u00e9chargement gratuit<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal beregner din TDEE med en formel fra 1919 (Harris-Benedict) uden fedtprocent, plus en n\u00e6sten tilf\u00e6ldig aktivitetskoefficient, og ignorerer den metaboliske tilpasning. Dit m\u00e5l kan v\u00e6re 500 til 800&nbsp;kcal forkert. Lean genberegner hver komponent pr\u00e6cist, uden koefficient at v\u00e6lge.\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>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran pour explorer l&rsquo;app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran<br>pour explorer l&rsquo;app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Retour\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/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=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Onglet D\u00e9pense\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilan<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calories<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">D\u00e9pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat\u00e9gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">R\u00e9ponse rapide<\/div>\n    <p>MyFitnessPal beregner din TDEE med en formel fra 1919 (Harris-Benedict) uden fedtprocent, plus en n\u00e6sten tilf\u00e6ldig aktivitetskoefficient, og ignorerer den metaboliske tilpasning. Dit kaloriem\u00e5l kan v\u00e6re 500 til 800&nbsp;kcal forkert. Lean genberegner hver komponent (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. \u00c9nergie d\u00e9pens\u00e9e au repos. Chez Lean, calcul\u00e9 sur la masse maigre r\u00e9elle via BodyScan IA.<\/span><\/span> p\u00e5 reel fedtprocent, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Forbrug fra skridt og daglige aktiviteter uden for sport.<\/span><\/span> per skridt, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Forbrug fra dine tr\u00e6ningspas, beregnet via MET.<\/span><\/span> per MET, <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> fra makroer, automatisk metabolisk tilpasning) uden aktivitetskoefficient at v\u00e6lge.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; Konstateringen<\/span><\/div>\n  <h2 id=\"constat\">Hvorfor 80&nbsp;% af MFP-brugerne ikke taber sig trods et \u00abunderskud\u00bb<\/h2>\n  <p>L\u00e6ser du dette, har du sandsynligvis v\u00e6ret der. Du downloadede MyFitnessPal, du udfyldte din profil, appen fortalte dig \u00abdin <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Formlen BMR + NEAT + EAT + TEF, plus den metaboliske tilpasning, der modulerer BMR.<\/span><\/span> er 2&nbsp;500&nbsp;kcal om dagen, spis 2&nbsp;250&nbsp;kcal for at tabe dig\u00bb. Du gjorde det. Religi\u00f8st. Du vejede din mad. Du opgraderede endda til Premium. Og ved m\u00e5nedens slutning vejer du det samme. M\u00e5ske lidt mere.<\/p>\n  <p>Du t\u00e6nker&nbsp;: \u00abjeg m\u00e5 have tracket d\u00e5rligt, jeg m\u00e5 have undervurderet mine kalorier\u00bb. Du strammer skruen. Du g\u00e5r ned til 2&nbsp;000&nbsp;kcal. Igen sker der ingenting.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">af MFP-brugerne stagnerer trods et teoretisk underskud. Problemet er ikke deres viljestyrke. Det er beregningen af deres TDEE.<\/div>\n  <\/div>\n\n  <p>Lad os sige, at MFP viser dig en TDEE p\u00e5 2&nbsp;500&nbsp;kcal. Du spiser 2&nbsp;250 (teoretisk underskud p\u00e5 250&nbsp;kcal). Men i virkeligheden er din <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">TDEE 2&nbsp;200&nbsp;kcal<\/a>. S\u00e5 er der ingen chance, jeg gentager <strong>ingen chance<\/strong>, for at du taber dig. Du er i overskud p\u00e5 50&nbsp;kcal uden at vide det.<\/p>\n  <p>Derfor er det afg\u00f8rende, hyper-vigtigt, at <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">beregne dit forbrug perfekt<\/a>. Og det er pr\u00e6cis der, MyFitnessPal fejler.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem 1<\/span><\/div>\n  <h2 id=\"p1\">BMR-formlen fra 1919<\/h2>\n  <p>For at beregne dit basalstofskifte (BMR, den energi du forbr\u00e6nder i hvile) bruger MyFitnessPal Harris-Benedict-ligningen. Eller dens direkte afledning, Mifflin-St Jeor. Afh\u00e6ngigt af appens version.<\/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=\"Comparaison BMR Harris-Benedict 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Estimeret BMR.<\/strong> Leans patenterede egenudviklede model tager h\u00f8jde for den fedtfri masse. Harris-Benedict (MFP) g\u00f8r ikke. Forskel p\u00e5 500&nbsp;kcal, svarende til en hel frokost.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict er fra 1919. Vi er lige efter F\u00f8rste Verdenskrig. To forskere tager 239 personer i \u00e9n by (Boston), l\u00e6gger dem i en seng med en maske for at m\u00e5le det forbrugte ilt og udleder en formel, der afh\u00e6nger af v\u00e6gt, h\u00f8jde, alder og k\u00f8n.<\/p>\n  <p>For sin tid var det nyskabende. I 2025 er det ubrugeligt. Tre grunde&nbsp;:<\/p>\n  <ol>\n    <li><strong>Stikpr\u00f8ven er latterlig<\/strong>&nbsp;: 239 personer fra \u00e9n enkelt amerikansk by i 1918. P\u00e5 et tidspunkt, hvor der var langt mindre overv\u00e6gt end i dag, hvor hormonniveauer og gennemsnitlig kropssammens\u00e6tning slet ikke lignede vores.<\/li>\n    <li><strong>M\u00e5leinstrumentet var upr\u00e6cist<\/strong>&nbsp;: datidens indirekte kalorimetri havde en enorm fejlmargin. Mere moderne studier har vist, at Harris-Benedict systematisk overvurderer basalstofskiftet.<\/li>\n    <li><strong>Den konceptuelle fejl<\/strong>&nbsp;: formlen tager kun h\u00f8jde for v\u00e6gten. Ikke fedtprocenten. Ikke den fedtfri masse.<\/li>\n  <\/ol>\n  <p>Men siden 1980'erne har man vidst, at <strong>fedtmassen bruger meget lidt energi<\/strong> sammenlignet med resten af kroppen. Leveren, hjernen, hjertet, nyrerne og is\u00e6r musklerne er de reelle forbrugsposter. Fedtmassen er inaktiv. En person med 30&nbsp;% fedtprocent forbr\u00e6nder slet ikke lige s\u00e5 meget som en person med 10&nbsp;% fedtprocent, selv ved samme v\u00e6gt.<\/p>\n\n  <p>500&nbsp;kcal er ikke ingenting. Siger MFP \u00abdin BMR er 2&nbsp;500\u00bb, og den i virkeligheden er 2&nbsp;000, er alt, hvad der f\u00f8lger, forkert.<\/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\">Bodyfat r\u00e9el<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">forskel mellem to m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fedtprocent (BMR 1&nbsp;900), den anden med 30&nbsp;% (BMR 1&nbsp;500). MFP giver dem samme tal.<\/div>\n  <\/div>\n\n  <p>Delkonklusion&nbsp;: hvis en app beregner din BMR udelukkende ud fra din v\u00e6gt, h\u00f8jde, alder og k\u00f8n, s\u00e5 flygt. Det er matematisk umuligt at f\u00e5 et p\u00e5lideligt resultat.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problem 2<\/span><\/div>\n  <h2 id=\"p2\">Den \u00abn\u00e6sten tilf\u00e6ldige\u00bb aktivitetskoefficient<\/h2>\n  <p>Det er her, det bliver alvorligt. Og det er sandsynligvis den pointe, ingen har forklaret dig.<\/p>\n  <p>N\u00e5r MFP har beregnet din BMR (forkert), skal den estimere din samlede TDEE. <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">TDEE er BMR + alt det andet<\/a>&nbsp;: forbruget fra skridt, daglige aktiviteter, sport og ford\u00f8jelse. Alt, der ikke er basalstofskifte.<\/p>\n  <p>Hvordan g\u00f8r MyFitnessPal det&nbsp;? Den beder dig s\u00e6tte kryds i en boks&nbsp;:<\/p>\n  <ul><li>Stillesiddende<\/li><li>Let aktiv<\/li><li>Aktiv<\/li><li>Meget aktiv<\/li><\/ul>\n  <p>Og afh\u00e6ngigt af dit valg ganger den din BMR med en koefficient (typisk 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). Det er alt. Det er alt, hvad der ligger bag dit daglige kaloriem\u00e5l. En boks, DU har krydset af \u00e9n enkelt gang ved tilmeldingen. Ofte for seks m\u00e5neder siden. U\u00e6ndret siden.<\/p>\n  <p>Og her er den tavse skandale&nbsp;: denne tiln\u00e6rmelse er <strong>hyper-ufuldkommen<\/strong>. Forskellen mellem en dag, hvor du er klistret til sofaen foran Netflix, og en dag, hvor du tager i Disneyland med dine b\u00f8rn og g\u00e5r 15&nbsp;km, <strong>det er mere end 1&nbsp;000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 reelle dage<\/span><span class=\"r\">kcal\/jour<\/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=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon MyFitnessPal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reelt forbrug<\/strong> m\u00e5lt over 7&nbsp;dage for en Lean-bruger. Den gr\u00e5 linje er det, MFP viste (2&nbsp;400&nbsp;kcal fast). De lyser\u00f8de annotationer viser, hvorfor hver dag bev\u00e6ger sig.<\/p>\n  <\/div>\n\n  <p>Du kan ikke reducere dit aktivitetsniveau til en statisk boks. Du er m\u00e5ske aktiv de uger, hvor du arbejder lidt hjemmefra, og stillesiddende dem, hvor du ikke forlader kontoret. Du er m\u00e5ske aktiv om sommeren og stillesiddende om vinteren. Du er m\u00e5ske aktiv tirsdag til fredag og stillesiddende i weekenden.<\/p>\n  <p>Hvilken boks vil du krydse af i denne uge&nbsp;? Sandheden er, at ingen af de 4 vil v\u00e6re korrekt. Og derfor giver MFP dig en TDEE, der systematisk er afkoblet fra virkeligheden.<\/p>\n  <p>Det er n\u00e6sten tilf\u00e6ldigt. Det er endda lidt bedre end en lodtr\u00e6kning, men ikke meget.<\/p>\n  <p>Artiklens n\u00f8glepointe&nbsp;: selv hvis MyFitnessPal havde en perfekt BMR-formel (hvilket den ikke har), ville aktivitetskoefficienten v\u00e6re nok til at \u00f8del\u00e6gge alt. Du kan ikke estimere en <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT<\/a>, en EAT og en <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF<\/a> med \u00e9n enkelt multiplikator anvendt p\u00e5 BMR. Det er konceptuelt absurd.<\/p>\n  <p>Du har forst\u00e5et det&nbsp;: <strong>en fuldst\u00e6ndig forvredet BMR-formel plus en tiln\u00e6rmelse af de andre forbrugsposter giver ingen chance for at n\u00e5 dine m\u00e5l.<\/strong><\/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\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Se din reelle TDEE, opdelt i BMR + NEAT + EAT + TEF. 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=vs-mfp\" 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=vs-mfp\" 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=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Den ignorerede metaboliske tilpasning<\/h2>\n  <p>Det er den endelige boss. Det fineste begreb. Og sandsynligvis det vigtigste.<\/p>\n  <p>N\u00e5r du er i kalorieunderskud, forst\u00e5r din krop, at den f\u00e5r mindre energi end f\u00f8r. For at beskytte sig skifter den til sparetilstand. Pr\u00e6cis som str\u00f8msparetilstand p\u00e5 din iPhone&nbsp;: alt fungerer stadig, men med mindre energi. Din BMR falder. Din NEAT falder. Din EAT falder.<\/p>\n  <p>Det kaldes metabolisk tilpasning. Her er tallene&nbsp;:<\/p>\n  <ul>\n    <li>Underskud p\u00e5 &minus;250&nbsp;kcal om dagen i 2 til 8 uger&nbsp;: metabolisk tilpasning p\u00e5 <strong>5 til 10&nbsp;%<\/strong><\/li>\n    <li>Underskud p\u00e5 &minus;500&nbsp;kcal om dagen&nbsp;: <strong>10 til 15&nbsp;%<\/strong><\/li>\n    <li>Underskud p\u00e5 &minus;750&nbsp;kcal om dagen&nbsp;: <strong>15 til 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>Og da NEAT, EAT og TEF alle afh\u00e6nger af BMR, er det n\u00e6sten hele din TDEE, der p\u00e5virkes.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 uger i underskud<\/span><span class=\"r\">kcal\/jour<\/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=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon MFP\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reel TDEE<\/strong> over 8 ugers underskud p\u00e5 &minus;500&nbsp;kcal\/dag. Den lyser\u00f8de kurve falder. Den gr\u00e5 MFP-linje forbliver flad. I uge 6 er du allerede p\u00e5 vedligehold. Uden at have \u00e6ndret noget.<\/p>\n  <\/div>\n\n  <p>Konkret&nbsp;: havde du planlagt et underskud p\u00e5 10&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;500 (alts\u00e5 spise 2&nbsp;250 om dagen), og din krop tilpasser sig med 10&nbsp;%, er din reelle TDEE faldet til 2&nbsp;250. Du er p\u00e5 vedligehold. Du taber dig ikke l\u00e6ngere.<\/p>\n  <p>F\u00e6lden er, at det er snigende. I starten taber du dig. Du er glad. Du forts\u00e6tter. Men uge efter uge akkumuleres tilpasningen. Og p\u00e5 et tidspunkt, uden at have \u00e6ndret noget i din tracking, <strong>holder du op med at tabe dig<\/strong>.<\/p>\n  <p>95&nbsp;% af folk g\u00e5r igennem det uden at forst\u00e5 det. De bebrejder deres viljestyrke. De skyder skylden p\u00e5 deres \u00ab\u00f8delagte stofskifte\u00bb. De kaster sig ud i h\u00e5rdere di\u00e6ter, hvilket forv\u00e6rrer tilpasningen. Spiral.<\/p>\n  <p>MyFitnessPal beregner aldrig den metaboliske tilpasning. Den giver dig et fast og statisk m\u00e5l. N\u00e5r du stagnerer efter 6 uger, aner appen ikke hvorfor.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-l\u00f8sningen<\/span><\/div>\n  <h2 id=\"solution\">S\u00e5dan l\u00f8ser Lean hvert af de 3 problemer<\/h2>\n  <p>Lean er ikke bygget som en forbedret klon af MyFitnessPal. Lean er bygget som den app, man ville have \u00f8nsket sig for seri\u00f8st at f\u00f8lge teorien om den komplette TDEE. Konkret, her er hvordan Lean behandler hver komponent.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-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-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">\u00c9tape 1<strong>AI BodyScan<\/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-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">\u00c9tape 2<strong>BMR genberegnet<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; BMR p\u00e5 reel fedtprocent<\/div>\n      <h3>Patenteret egenudviklet model, baseret p\u00e5 fedtfri masse<\/h3>\n      <p>Lean bruger en <strong>mod\u00e8le propri\u00e9taire brevet\u00e9<\/strong> som afh\u00e6nger direkte af den fedtfri masse, ikke af den r\u00e5 v\u00e6gt. Til det skal appen bruge din fedtprocent. Og her rammer vi det historisk mest irriterende&nbsp;: hvordan m\u00e5ler man sin fedtprocent uden at betale 100&nbsp;\u20ac om ugen for en DEXA-scanning&nbsp;?<\/p>\n      <p>Leans svar&nbsp;: <strong>AI BodyScan<\/strong>. Du tager et foto, appen k\u00f8rer det gennem en model tr\u00e6net p\u00e5 en massiv bank af DEXA-scanninger, og du f\u00e5r din estimerede fedtprocent p\u00e5 f\u00e5 sekunder. Du kan gentage det hver uge. BMR genberegnes automatisk.<\/p>\n      <p>Farvel til hudfoldsm\u00e5leren (upr\u00e6cis), farvel til impedansv\u00e6gten (\u00e5rhundredets scam), farvel til DEXA-scanningen (perfekt, men utilg\u00e6ngelig). Et foto, 5 sekunder.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.02 &middot; Ingen aktivitetskoefficient<\/div>\n      <h3>NEAT, EAT, TEF calcul\u00e9s s\u00e9par\u00e9ment<\/h3>\n      <p><strong>NEAT.<\/strong> Lean henter dit reelle antal skridt via HealthKit (iOS) eller Google Fit (Android). Ingen erkl\u00e6ring. Intet \u00abjeg g\u00e5r vist nok\u00bb. Dine skridt, m\u00e5lt af din smartphones meget pr\u00e6cise accelerometre. <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT beregnes ved at krydse disse skridt med din BMR<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> For hvert tr\u00e6ningspas v\u00e6lger du sporten p\u00e5 en liste (styrketr\u00e6ning, l\u00f8b, tennis, sv\u00f8mning osv.), og Lean bruger MET (Metabolic Equivalent Task) for den sport til at beregne det reelle forbrug. Du indtaster den <strong>effektiv<\/strong> sportstid (ikke den samlede tid med pauser&nbsp;: fejlen, som 100&nbsp;% af smarture beg\u00e5r). Et styrketr\u00e6ningspas p\u00e5 1&nbsp;050&nbsp;kcal if\u00f8lge dit Apple Watch&nbsp;? Virkeligheden er snarere 200&nbsp;kcal. Lean afviser den afdrift.<\/p>\n      <p><strong>TEF.<\/strong> Ford\u00f8jelsen forbr\u00e6nder energi, og det er ikke en fast sats p\u00e5 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">Protein koster 20 til 30&nbsp;%<\/a> af deres kalorier p\u00e5 ford\u00f8jelsen. Kulhydrater 5 til 10&nbsp;%. Fedt 1 til 3&nbsp;%. Lean beregner din reelle TEF ud fra dine makroer. P\u00e5 3&nbsp;000&nbsp;kcal\/dag kan det udg\u00f8re 100&nbsp;kcal i forskel afh\u00e6ngigt af din kosts sammens\u00e6tning.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.03 &middot; Automatisk metabolisk tilpasning<\/div>\n      <h3>En verdensnyhed i en forbruger-app<\/h3>\n      <p>Lean er, s\u00e5 vidt vi ved, den f\u00f8rste app, der automatisk beregner den metaboliske tilpasning. Efterh\u00e5nden som dine uger i underskud g\u00e5r, justerer appen din TDEE nedad efter de videnskabeligt fastlagte tal. Du skal ikke g\u00f8re noget. Du ser bare dit kaloriem\u00e5l justere sig stille og roligt, uden overraskelser.<\/p>\n      <p>N\u00e5r du n\u00e5r 10 til 15&nbsp;% tilpasning, kan appen r\u00e5de dig til at vende tilbage til vedligehold for at nulstille din BMR, f\u00f8r du g\u00e5r i underskud igen. Cyklus, plateau, cyklus. Som i de rigtige protokoller.<\/p>\n      <p>Ingen aktivitetskoefficient at v\u00e6lge. Ingen statisk boks. Bare hver komponent beregnet pr\u00e6cist, uge efter uge.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode<strong>Metabolisk tilpasning<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Sammenligningstabel<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, kriterium for kriterium<\/h2>\n  <p>\u00c6rlig gennemgang af hver apps styrker og svagheder. Intet kriterium handler om prisen.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#F5F5F7;border:1.5px solid #D1D1D6;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#0E0E10;letter-spacing:-0.2px\">MyFitnessPal<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Comparatif Lean vs MyFitnessPal\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Crit\u00e8re<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><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\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>MyFitnessPal<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formel<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Patenteret egenudviklet model (fedtfri masse)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor (kun v\u00e6gt)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tager h\u00f8jde for fedtprocent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e5ling af fedtprocent i appen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (skridt, aktivitet uden for sport)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet p\u00e5 reelle skridt<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Aggregeret i koefficienten<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (tr\u00e6ningsforbrug)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Up\u00e5lidelige faste estimater<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (digestion)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet efter makroer<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ikke beregnet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolisk tilpasning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatisk, uge for uge<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoefficient at v\u00e6lge<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nej, beregnet p\u00e5 reelle data<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ja, 4 statiske bokse<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoscanning af en ret<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, ubegr\u00e6nset<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Begr\u00e6nset<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Stregkodescanning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">F\u00f8devaredatabase<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, kurateret<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Community-drevet, op til 10&nbsp;000 varianter af samme f\u00f8devare<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Anbefaling af kalorieunderskud<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Tilpasset den reelle TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fast estimat<\/div>\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\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder til at tracke et m\u00e5ltid<\/h2>\n  <p>At tracke sine kalorier er godt. <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">At g\u00f8re det i 12 m\u00e5neder er noget andet<\/a>. Princip nr. 1, <strong>f\u00f8r videnskaben, f\u00f8r makroerne, f\u00f8r alt<\/strong>, er vedholdenhed. Hvis tracking-metoden irriterer dig, stopper du efter 3 uger. Lean tilbyder 3 metoder til at tracke et m\u00e5ltid&nbsp;:<\/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 USDA + OpenFoodFacts\" 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 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\" 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  <ol>\n    <li><strong>S\u00f8gning i databasen.<\/strong> Kurateret base, USDA + OpenFoodFacts. Ingen community-st\u00f8j, ingen \u00abStegt kylling\u00bb indtastet 47 gange af 47 forskellige brugere med 47 forskellige v\u00e6rdier.<\/li>\n    <li><strong>Stregkodescanning.<\/strong> Standard. Du scanner din pastapakke, du f\u00e5r makroerne.<\/li>\n    <li><strong>AI-fotoscanning af en ret.<\/strong> Du tager et foto af din tallerken, AI'en genkender f\u00f8devarerne, du f\u00e5r kalorier og makroer per f\u00f8devare.<\/li>\n  <\/ol>\n  <p>AI-fotoscanning er game-changeren for vedholdenhed. N\u00e5r du spiser ude, p\u00e5 restaurant, hos venner, er det mega praktisk. Et foto, du lukker appen, du nyder din aften. Ja, det er mindre pr\u00e6cist end en vejning p\u00e5 grammet med en k\u00f8kkenv\u00e6gt. Men over 12 m\u00e5neder er det det, der g\u00f8r forskellen mellem at holde ved og give op. Og at holde ved er det, der t\u00e6ller.<\/p>\n  <p>Ud over tracking per m\u00e5ltid viser Lean en <strong>Live-TDEE, der opdateres i l\u00f8bet af dagen<\/strong>. Jo mere du g\u00e5r, jo mere stiger dit forbrug, jo mere justeres dit kaloriem\u00e5l for dagen. Du ser din kaloriebalance live. Det er mere motiverende end et tal frosset kl. 8 om morgenen.<\/p>\n  <p>Og over alt det er der <strong>Pyramide de Progression<\/strong>. Det er en sk\u00e6rm i appen, der rangordner det, der t\u00e6ller&nbsp;:<\/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\">Spring ikke trin over. Hvis du ikke er regelm\u00e6ssig i din tracking, nytter det ikke at optimere makroerne p\u00e5 procenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"mfp-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c6rlighed<\/span><\/div>\n  <h2 id=\"mfp-better\">Det MyFitnessPal g\u00f8r bedre<\/h2>\n  <p>Lean er ikke perfekt, MFP har nogle fordele, man m\u00e5 anerkende. \u00c6rlig gennemgang, kriterium for kriterium, p\u00e5 de akser, hvor MFP stadig er foran.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard MFP vs Lean sur 4 axes secondaires\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Akse<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> MyFitnessPal<\/div>\n      <div class=\"h-brand\"><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\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Kendskab &amp; online-vejledninger<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Databasens st\u00f8rrelse<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Community \/ socialt feed<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Integrationer med tredjeparts-apps<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>\u00c6rlig gennemgang.<\/strong> P\u00e5 kendskab og socialt feed er MFP stadig foran. P\u00e5 f\u00f8devaredatabasens r\u00e5 st\u00f8rrelse har MFP flere poster (men de 14 millioner poster er community-drevne og st\u00f8jende, op til 10&nbsp;000 varianter af samme f\u00f8devare). P\u00e5 tredjepartsintegrationer har MFP et bredere \u00f8kosystem. Lean integreres med HealthKit og Google Fit, hvilket d\u00e6kker 95&nbsp;% af tilf\u00e6ldene.<\/p>\n  <p>Kort sagt, hvis alt, du vil have, er en grov madlogbog uden pr\u00e6cist m\u00e5l, er MFP rigeligt. Hvis du vil tabe fedt metodisk med en <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">pr\u00e6cis TDEE<\/a>, er MFP ikke nok, og det er det, der lige er blevet p\u00e5vist i de 3 foreg\u00e5ende afsnit.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Til hvem<\/span><\/div>\n  <h2 id=\"forwho\">Hvem Lean er lavet til<\/h2>\n  <p>4 profiler. Kan du genkende dig selv i mindst \u00e9n, er Lean sandsynligvis lavet til dig.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har pr\u00f8vet MFP seri\u00f8st og har ikke tabt dig<\/h4>\n        <p>Du har holdt et \u00e6rligt underskud i uger, uden resultat. \u00c5rsagen er h\u00f8jst sandsynligt den forvredne TDEE. Lean retter ved roden via BMR p\u00e5 reel fedtprocent.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du stagnerer efter flere ugers cut<\/h4>\n        <p>Plateau, der tr\u00e6kker ud efter 4 til 8 uger. Det er den metaboliske tilpasning. Lean beregner den automatisk og justerer dit m\u00e5l hver uge.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil forst\u00e5 dit stofskifte<\/h4>\n        <p>Lean viser hver komponent (BMR, NEAT, EAT, TEF, tilpasning) i stedet for at gemme alt bag et enkelt tal. Du ser, hvor hver forbrugt kcal kommer fra.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil have en tracking, der holder 12 m\u00e5neder<\/h4>\n        <p>AI-fotoscanning + kurateret base + stregkode d\u00e6kker alle brugssituationer, fra den r\u00e5 f\u00f8devare til pizzaen p\u00e5 restauranten. Det er det, der g\u00f8r forskellen mellem at holde ved og give op.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal kan v\u00e6re nok til<\/strong>&nbsp;: dem, der bare vil have en madlogbog uden s\u00e6rlig pr\u00e6cision, eller dem, der kan lide det sociale og community-siden.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migration<\/span><\/div>\n  <h2 id=\"migrate\">Migr\u00e9r fra MyFitnessPal til Lean p\u00e5 5 minutter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Download Lean<\/h4><p>App Store eller Play Store. Tilmelding p\u00e5 30 sekunder.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Et foto, 5 sekunder. Du f\u00e5r din fedtprocent.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>V\u00e6gt &amp; h\u00f8jde<\/h4><p>Indtast din v\u00e6gt og din h\u00f8jde. Det er alt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean beregner<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, tilpasning. Automatisk.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Track et m\u00e5ltid<\/h4><p>Foto, stregkode eller database. Forst\u00e5 flowet.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Vigtig note.<\/strong> Lean tilbyder ikke automatisk import af dine MyFitnessPal-data. Det er bevidst. MFP-basen er indtastet manuelt af brugerne, alts\u00e5 st\u00f8jende. Vi foretr\u00e6kker at starte rent, med en kurateret base USDA + OpenFoodFacts, frem for at arve st\u00f8jen.<\/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\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Download Lean og start AI BodyScan nu. Gratis tilmelding.<\/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=vs-mfp\" 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=vs-mfp\" 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=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Det Lean l\u00e5ser op<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean g\u00f8r, og som MFP aldrig vil g\u00f8re<\/h2>\n  <p>Seks funktioner, der ikke findes i nogen anden forbruger-tracker. De udspringer alle af samme princip&nbsp;: at beregne hver TDEE-komponent pr\u00e6cist, ikke at tiln\u00e6rme den.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Ubegr\u00e6nset AI BodyScan<\/div><p class=\"fd\">Din reelle fedtprocent, m\u00e5lt fra et simpelt foto, gentaget hver uge. Det er den data, der \u00e6ndrer hele BMR-beregningen. Ingen anden forbruger-app tilbyder det.<\/p><\/div><div class=\"fc\">Bodyfat<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Ubegr\u00e6nset AI-fotoscanning af en ret<\/div><p class=\"fd\">Track dit restaurantm\u00e5ltid p\u00e5 2 sekunder. Ingen v\u00e6gt, ingen manuel indtastning. Game-changeren for vedholdenhed over 12 m\u00e5neder.<\/p><\/div><div class=\"fc\">Vedholdenhed<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabolisk tilpasning<\/div><p class=\"fd\">Din TDEE justeres uge efter uge efter de videnskabeligt fastlagte tal. Du undg\u00e5r de plateauer, ingen kan forklare.<\/p><\/div><div class=\"fc\">Adaptation<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live opdelt TDEE<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF vist hver for sig, opdateret i l\u00f8bet af dagen. Ikke flere tal frosset kl. 8 om morgenen. Du ser din kaloriebalance live.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplet historik og tendenser<\/div><p class=\"fd\">F\u00f8lg dine tendenser for v\u00e6gt, fedtprocent og fedtfri masse over m\u00e5neder. Forst\u00e5 dine cyklusser. Find faserne, hvor du g\u00f8r fremskridt, og dem, hvor du stagnerer.<\/p><\/div><div class=\"fc\">Historik<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlede tracking-metoder<\/div><p class=\"fd\">Foto, stregkode, kurateret base. Ingen anden app tilbyder alle tre med s\u00e5 h\u00f8j pr\u00e6cision. Du v\u00e6lger metoden efter situationen.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerer appen gratis, du tester uden binding, og du beslutter derefter, om v\u00e6rkt\u00f8jet passer til dit m\u00e5l.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Foire aux questions<\/h2>\n  <div class=\"faq\">\n    <details><summary>Er Mifflin-St Jeor bedre end Harris-Benedict&nbsp;?<\/summary><div class=\"ans\">Marginalt. Mifflin-St Jeor (1990) er en opdatering af Harris-Benedict med en lidt mere moderne stikpr\u00f8ve. Men den arver den samme konceptuelle fejl&nbsp;: ingen fedtprocent som input. Det er bare en ommalet version af samme fejl. MFP har brugt Mifflin-St Jeor i nogle \u00e5r, hvilket er bedre end Harris-Benedict, men ikke retter det grundl\u00e6ggende problem.<\/div><\/details>\n    <details><summary>Er det virkelig n\u00f8dvendigt at kende sin fedtprocent&nbsp;?<\/summary><div class=\"ans\">Ja. Uden fedtprocent kan din BMR v\u00e6re 400&nbsp;kcal forkert (jf. eksemplet med de to m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;%, den anden med 30&nbsp;%). Du vil aldrig tabe dig seri\u00f8st uden den data. At m\u00e5le den hver uge med AI BodyScan tager 5 sekunder.<\/div><\/details>\n    <details><summary>Virker aktivitetskoefficienten slet ikke&nbsp;?<\/summary><div class=\"ans\">Til et ultragroft estimat over 6 m\u00e5neder kan den give en vag tendens. Til at n\u00e5 et pr\u00e6cist m\u00e5l (fedttab, opbygning af fedtfri masse) er den utilstr\u00e6kkelig. Den daglige variation i forbruget er for stor til at kunne fanges af en statisk boks.<\/div><\/details>\n    <details><summary>Hvad er metabolisk tilpasning helt pr\u00e6cist&nbsp;?<\/summary><div class=\"ans\">Det er det spontane fald i dit kalorieforbrug, n\u00e5r du er i langvarigt underskud. Str\u00f8msparetilstand. Ved et underskud p\u00e5 &minus;500&nbsp;kcal\/dag kan din TDEE falde 10 til 15&nbsp;% p\u00e5 4 til 6 uger. Hvis en app ikke ved det, stagnerer du uden at forst\u00e5 hvorfor.<\/div><\/details>\n    <details><summary>Hvor lang tid f\u00f8r man ser et resultat med Lean&nbsp;?<\/summary><div class=\"ans\">Det afh\u00e6nger helt af det anvendte underskud. Ved et fornuftigt underskud p\u00e5 &minus;250 til &minus;500&nbsp;kcal\/dag b\u00f8r du se et tab p\u00e5 0,3 til 0,6&nbsp;kg om ugen. Den store forskel fra MFP&nbsp;: med Lean er din TDEE kendt pr\u00e6cist, s\u00e5 dit underskud er reelt anvendt, uden statistiske overraskelser.<\/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\">12 &middot; Konklusion<\/span><\/div>\n  <h2 id=\"conclu\">1919 over for 2025<\/h2>\n  <p>Det er ikke MyFitnessPal mod Lean i markedsf\u00f8ring. Det er 1919 over for 2025 i videnskab.<\/p>\n  <p>MFP bruger en formel fra tiden lige efter F\u00f8rste Verdenskrig, plus en n\u00e6sten tilf\u00e6ldig aktivitetskoefficient, og ignorerer den metaboliske tilpasning. Kombinationen af de tre g\u00f8r ethvert pr\u00e6cist estimat umuligt. Det er matematik.<\/p>\n  <p>Lean er bygget til at g\u00f8re pr\u00e6cis det modsatte&nbsp;: BMR baseret p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">bodyfat r\u00e9el<\/a> (m\u00e5lt med AI BodyScan) via en patenteret egenudviklet model, <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT fra reelle skridt<\/a>, EAT per sport og MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF fra makroer<\/a>, automatisk metabolisk tilpasning. Hver komponent beregnet pr\u00e6cist, uden magisk koefficient.<\/p>\n  <p>Har du pr\u00f8vet MFP seri\u00f8st og ikke f\u00e5et de resultater, du h\u00e5bede p\u00e5, er problemet ikke dig. Problemet ligger under motorhjelmen. Skift app.<\/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\">T\u00e9l\u00e9chargement<\/div>\n  <h3>Lean est t\u00e9l\u00e9chargeable gratuitement<\/h3>\n  <p>iOS og Android. AI BodyScan fungerer med et simpelt foto. Ingen hudfoldsm\u00e5ler, ingen impedansv\u00e6gt, ingen DEXA.<\/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=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'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=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur 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\">Pour aller plus loin<\/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\/tdee-calculator\/\">Calculateur TDEE gratuit en ligne<\/a> &middot; webversion, uden tilmelding, samme logik som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">Forst\u00e5 TDEE i detaljer (BMR, NEAT, EAT, TEF, tilpasning)<\/a> &middot; dybdeg\u00e5ende videnskabelig artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">Comment compter ses calories correctement<\/a> &middot; praktisk guide for begyndere.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT&nbsp;: d\u00e9pense par pas et activit\u00e9 hors sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF&nbsp;: la digestion br\u00fble des calories<\/a>.<\/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\">Sources<\/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.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/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>Artikel publiceret 21. maj 2026. 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=vs-mfp\" 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=vs-mfp\" 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:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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}\n})();\n<\/script><\/div>\n<script data-wpmeteor-nooptimize=\"true\">\n(function shrinkAnnotationsOnMobile(){\n  if (typeof window.Chart === 'undefined') { return setTimeout(shrinkAnnotationsOnMobile, 100); }\n  var isMobile = window.matchMedia && window.matchMedia('(max-width:540px)').matches;\n  if (!isMobile) return;\n  function apply(){\n    ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n      var c = window.Chart.getChart(id);\n      if (!c) return;\n      var anns = c.options && c.options.plugins && c.options.plugins.annotation && c.options.plugins.annotation.annotations;\n      if (!anns) return;\n      Object.keys(anns).forEach(function(k){\n        var a = anns[k];\n        if (a.type !== 'label' || !a.font) return;\n        \/\/ Numeric labels are small text. 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Lean recompose ton TDEE en continu.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>MyFitnessPal calcule votre TDEE avec une formule de 1919, sans bodyfat ni adaptation m\u00e9tabolique. Lean fait tout ce que MFP ne sait pas faire. Comparatif honn\u00eate.<\/p>","protected":false},"author":1,"featured_media":1242,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs MyFitnessPal : pourquoi MFP calcule mal ta d\u00e9pense<\/title>\n<meta name=\"description\" content=\"Pourquoi MyFitnessPal calcule mal ta d\u00e9pense calorique : BMR sur formule de 1919, pas d&#039;adaptation m\u00e9tabolique, NEAT\/EAT fixes. 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