{"id":1407,"date":"2026-05-24T14:43:07","date_gmt":"2026-05-24T14:43:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=1407"},"modified":"2026-09-08T18:18:15","modified_gmt":"2026-09-08T18:18:15","slug":"lean-vs-lifesum","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/lean-vs-lifesum\/","title":{"rendered":"Lean over for Lifesum: premium di\u00e6tcoaching over for TDEE-pr\u00e6cision"},"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-1407 #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-1407 #lvm-shell .wrap,\nbody.postid-1407 #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-1407 #lvm-shell .wrap,\n  body.postid-1407 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1407 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1407 #lvm-shell *{max-width:100%}\nbody.postid-1407 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1407 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1407 #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-1407 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1407 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1407 #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-1407 #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-1407 #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-1407 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1407 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1407 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1407 #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-1407 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1407 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1407 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1407 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1407 #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-1407 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1407 #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-1407 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1407 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1407 #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-1407 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1407 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1407 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1407 #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-1407 #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-1407 #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-1407 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1407 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1407 #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-1407 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1407 #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-1407 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1407 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1407 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1407 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1407 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1407 #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-1407 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1407 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1407 #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-1407 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1407 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1407 #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-1407 #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-1407 #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-1407 #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-1407 #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-1407 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"LIFESUM\"!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:#27B5A3!important;\n  }\n  body.postid-1407 #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-1407 #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-1407 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1407 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1407 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1407 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1407 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1407 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1407 #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-1407 #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-1407 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1407 #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-1407 #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-1407 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1407 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1407 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/da\/\" aria-label=\"Lean forside\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">TDEE-beregner<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download i App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilg\u00e6ngelig p\u00e5 Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/da\/\">Hjem<\/a> &nbsp;\/&nbsp; Lean vs Lifesum<\/div>\n  <div class=\"eyebrow\">Sammenligning &middot; Ern\u00e6ring &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean over for Lifesum.\n    <span class=\"alt\">Den premium di\u00e6tindpakning over for den eneste, der l\u00f8bende genopbygger din TDEE.<\/span>\n  <\/h1>\n  <p class=\"dek\">Lifesum s\u00e6lger di\u00e6tcoaching. Lean ser dit reelle forbrug. To l\u00f8fter, der ikke spiller p\u00e5 samme bane.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; L\u00e6setid 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\" 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\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Lifesum er kendt for sit polerede design, sine f\u00e6rdige di\u00e6tprogrammer (keto, middelhav, periodisk faste, low-carb) og sin Life Score, der g\u00f8r opf\u00f8lgningen n\u00e6sten legende. Men dens TDEE-formel er stadig Mifflin-St Jeor 1990, plus en statisk aktivitetsfaktor, du krydser af \u00e9n enkelt gang ved tilmeldingen (sedentary, low active, active, very active). Uden reel fedtprocent m\u00e5lt i appen, uden metabolisk tilpasning. Over 3 m\u00e5neders seri\u00f8st cut vokser forskellen.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen for at udforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen<br>for at udforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Oversigt over Lean-appen med drilldown af TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbage\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversigt, Forbrug-fanen\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversigt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbrug-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversigt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbrug<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Hurtigt svar<\/div>\n    <p>Lifesum beregner din TDEE med Mifflin-St Jeor 1990 (uden fedtprocent m\u00e5lt i appen) og en statisk aktivitetsfaktor valgt ved tilmeldingen blandt 4 bokse (sedentary, low active, active, very active). Lifesums reelle styrke ligger et andet sted: et poleret design, f\u00e6rdige di\u00e6tprogrammer (keto, middelhav, periodisk faste), en Life Score, der g\u00f8r opf\u00f8lgningen engagerende. Lean v\u00e6lger en anden vej: at genberegne hver TDEE-komponent (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi brugt i hvile. Hos Lean beregnet p\u00e5 den reelle fedtfri masse via AI BodyScan.<\/span><\/span> p\u00e5 reel fedtprocent via en patenteret egenudviklet model, <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) og modulere BMR med den metaboliske tilpasning kontinuerligt, uden koefficient 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\">Lifesum s\u00e6lger programmer, ikke din metaboliske tilpasning<\/h2>\n  <p>L\u00e6ser du dette, har du sandsynligvis allerede installeret Lifesum. Du valgte den app pr\u00e6cis for det, den s\u00e6lger bedst: en premium UX, f\u00e6rdige di\u00e6tprogrammer (keto, middelhav, periodisk faste), en Life Score, der samler dine valg for dagen i en opmuntrende karakter. Du indtastede din v\u00e6gt, din h\u00f8jde, din alder, dit k\u00f8n og valgte din aktivitetsfaktor p\u00e5 en statisk liste (sedentary, low active, active, very active). Appen viste dig et kaloriem\u00e5l, lad os sige 2&nbsp;250&nbsp;kcal for at tabe dig.<\/p>\n  <p>Du fulgte opskrifterne foresl\u00e5et i programmet. Du scannede stregkoderne, fotograferede nogle retter, s\u00e5 din Life Score stige, n\u00e5r du spiste gr\u00f8nne gr\u00f8ntsager. De f\u00f8rste 6 uger virker det. Du taber dig. Du er glad. S\u00e5 omkring uge 8 fryser v\u00e6gten. Du strammer skruen. Du g\u00e5r ned til 2&nbsp;000&nbsp;kcal. Igen rykker intet sig.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 til &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">m\u00e5lt fald i TDEE efter 4 til 6 ugers underskud p\u00e5 &minus;500&nbsp;kcal\/dag. Lifesum opdager det ikke. Dit kaloriem\u00e5l forbliver frosset p\u00e5 din aktivitetsfaktor fra 100&nbsp;dage siden.<\/div>\n  <\/div>\n\n  <p>Lad os sige, at Lifesum 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 er faldet til 2&nbsp;200&nbsp;kcal<\/a> p\u00e5 grund af den metaboliske tilpasning. Du er i overskud p\u00e5 50&nbsp;kcal uden at vide det. Ingen chance for at forts\u00e6tte med at tabe dig, selv hvis du f\u00f8lger keto-programmet til punkt og prikke.<\/p>\n  <p>Lifesums l\u00f8fte er klart og holdes: du f\u00f8ler dig fulgt, du f\u00f8lger et program, Life Score opmuntrer dig. Det er v\u00e6rdifuldt for vedholdenheden. Det, Lifesum ikke g\u00f8r, er at <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">genberegne dit forbrug<\/a> i takt med ugerne i underskud. Og det er pr\u00e6cis der, l\u00f8ftet \u00abkalorietracker\u00bb stopper, selv om det er det h\u00e5ndtag, der f\u00e5r dig til at tabe dig.<\/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 1990, uden fedtprocent m\u00e5lt i appen<\/h2>\n  <p>For at beregne dit basalstofskifte (BMR, den energi du forbr\u00e6nder i hvile) bruger Lifesum Mifflin-St Jeor-ligningen. Det er den kanoniske formel i de fleste forbruger-kalorietrackere, og man m\u00e5 v\u00e6re \u00e6rlig: det er bedre end Harris-Benedict 1919, som andre apps stadig bruger.<\/p>\n  <p>Mifflin-St Jeor er fra 1990. Stikpr\u00f8ven er st\u00f8rre (498 fors\u00f8gspersoner), metoden med indirekte kalorimetri er mere pr\u00e6cis, formlen er kalibreret p\u00e5 en mere moderne population. Lifesum anvender den officielle formel: 10 \u00d7 v\u00e6gt (kg) + 6,25 \u00d7 h\u00f8jde (cm) \u2212 5 \u00d7 alder \u2212 161 (kvinder) eller +5 (m\u00e6nd).<\/p>\n  <p>I mods\u00e6tning til visse konkurrenter, der som avanceret tilvalg tilbyder en ligning af typen Katch-McArdle (baseret p\u00e5 fedtfri masse), <strong>Lifesum tilbyder ingen fallback p\u00e5 fedtfri masse<\/strong>. Ingen manuel indtastning af fedtprocent, ingen Katch-McArdle-beregning, ingen DEXA som input. Du er l\u00e5st til Mifflin som standard, punktum. Konsekvensen er mekanisk: to brugere med samme v\u00e6gt, men med 10 og 30 procent fedtprocent f\u00e5r <strong>den samme Lifesum-BMR<\/strong>, selv om deres reelle forbrug kan afvige med 400 til 500 kcal om dagen.<\/p>\n  <p>Mifflin (1990) retter marginalt Harris-Benedict (1919) p\u00e5 den gennemsnitlige pr\u00e6cision, men arver samme konceptuelle fejl: <strong>formlen tager kun h\u00f8jde for v\u00e6gten. Ikke fedtprocenten. Ikke den fedtfri masse.<\/strong><\/p>\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  <p>Frankenfield 2013 (PubMed 23631843) sammenlignede Mifflin-St Jeor med referencemetoden indirekte kalorimetri p\u00e5 overv\u00e6gtige og ikke-overv\u00e6gtige kohorter. Resultat: 87&nbsp;% pr\u00e6cision hos ikke-overv\u00e6gtige, og kun <strong>75&nbsp;% hos overv\u00e6gtige<\/strong>. Et nyere studie (PMC11820646) viser, at ved BMI over 35 tager Mifflin fejl med <strong>250 til 315&nbsp;kcal om dagen<\/strong>. Det svarer til en hel snack i beregningen af et underskud.<\/p>\n\n  <p style=\"margin-bottom:8px\"><strong>Eksempel i tal.<\/strong> Mand p\u00e5 1,80 m, 120&nbsp;kg, 30&nbsp;% fedtprocent&nbsp;:<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartBMR\" aria-label=\"BMR-sammenligning Mifflin-St Jeor 2500 kcal vs Leans patenterede egenudviklede model 2000 kcal, forskel p\u00e5 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Estimeret BMR<\/strong> for en mand p\u00e5 1,80 m, 120&nbsp;kg, 30&nbsp;% fedtprocent. Leans patenterede egenudviklede model tager h\u00f8jde for den fedtfri masse. Mifflin-St Jeor (Lifesum som standard, uden fedtfri masse-tilvalg) g\u00f8r ikke. Forskel p\u00e5 500&nbsp;kcal, svarende til en hel frokost.<\/p>\n  <\/div>\n\n  <p>500&nbsp;kcal er ikke ingenting. Siger Lifesum \u00abdin BMR er 2&nbsp;500\u00bb, og den i virkeligheden er 2&nbsp;000, er alt, hvad der f\u00f8lger, forkert: dit underskudsm\u00e5l, din prognose for ugentligt tab, din makrofordeling beregnet i procent af TDEE.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Reel fedtprocent<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"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). Lifesum giver dem samme tal, uden fedtfri masse-tilvalg.<\/div>\n  <\/div>\n\n  <p>Delkonklusion: hvis en app beregner din BMR udelukkende ud fra din v\u00e6gt, h\u00f8jde, alder og k\u00f8n, kan resultatet ikke v\u00e6re individualiseret. Det er matematisk umuligt.<\/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\">Aktivitetsfaktoren, valgt \u00e9n gang for alle<\/h2>\n  <p>Det er her, det bliver alvorligt. Og det er sandsynligvis den pointe, ingen har forklaret dig.<\/p>\n  <p>N\u00e5r Lifesum har beregnet din BMR (uden fedtprocent m\u00e5lt i appen), 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> : forbruget fra skridt, daglige aktiviteter, sport og ford\u00f8jelse. Alt, der ikke er basalstofskifte.<\/p>\n  <p>Hvordan g\u00f8r Lifesum det&nbsp;? Den beder dig, \u00e9n enkelt gang ved tilmeldingen, v\u00e6lge din aktivitetsfaktor p\u00e5 en statisk liste med 4 bokse. Disse faktorer kaldes i idr\u00e6tsvidenskaben <strong>PAL-niveauer<\/strong> (Physical Activity Level), det er bare en multiplikator anvendt p\u00e5 din BMR:<\/p>\n  <ul>\n    <li>Sedentary (PAL 1,25): kontor, lidt gang<\/li>\n    <li>Low Active (PAL 1,4): lejlighedsvis gang, lidt sport<\/li>\n    <li>Active (PAL 1,6): regelm\u00e6ssig gang, sport 3 til 5 gange om ugen<\/li>\n    <li>Very Active (PAL 1,8): intens sport n\u00e6sten dagligt eller fysisk arbejde<\/li>\n  <\/ul>\n  <p>Og afh\u00e6ngigt af dit valg ganger appen din BMR med den tilh\u00f8rende koefficient. 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 f\u00e6lde: 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>. Ingen af de 4 bokse fanger det.<\/p>\n  <p>Lifesum synkroniserer fint med Apple Health og Google Fit og fanger dine skridt. Et kalorie-till\u00e6g for tr\u00e6ning kan l\u00e6gges til det daglige kaloriem\u00e5l, n\u00e5r appen opdager et pas. Men de skridt fodrer ikke en genberegning af den komplette TDEE: dit kaloriem\u00e5l er stadig baseret p\u00e5 aktivitetsfaktoren valgt ved onboarding, plus et tr\u00e6ningstill\u00e6g, der blandes sammen med NEAT og EAT uden at adskille dem ordentligt.<\/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\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartNEAT\" aria-label=\"Daglig variation i kalorieforbruget over 7 dage, mod 2400 kcal fast if\u00f8lge Lifesum\"><\/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, Lifesum viste (2&nbsp;400&nbsp;kcal fast, PAL Active \u00d7 BMR). 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? Sandheden er, at ingen af de 4 vil v\u00e6re korrekt. Og derfor giver Lifesum dig en TDEE, der systematisk er afkoblet fra virkeligheden.<\/p>\n  <p>Artiklens n\u00f8glepointe: selv med en mere moderne BMR-formel ville den statiske PAL 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: <strong>en BMR-formel uden fedtprocent m\u00e5lt i appen, plus en statisk PAL-tiln\u00e6rmelse af de andre forbrugsposter, giver meget f\u00e5 chancer for at n\u00e5 dine m\u00e5l over 3 til 6 m\u00e5neder.<\/strong><\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Se din reelle TDEE, opdelt i BMR + NEAT + EAT + TEF. Gratis download.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/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 metaboliske tilpasning, aldrig modelleret<\/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: alt fungerer stadig, men med mindre energi. Din BMR falder. Din NEAT falder. Din EAT falder.<\/p>\n  <p>Det kaldes metabolisk tilpasning. Den videnskabelige litteratur er klar og reproducerbar: M\u00fcller 2015 (PubMed 26399868, genbes\u00f8g af Minnesota), Stenholm 2015 om vedholdenhed i tracking-apps (PubMed 26302366), Nunes 2020 (PMC7484122) over 6 ugers underskud. Her er tallene:<\/p>\n  <ul>\n    <li>Underskud p\u00e5 &minus;250&nbsp;kcal om dagen i 2 til 8 uger: tilpasning p\u00e5 <strong>5 til 10&nbsp;%<\/strong> (TDEE falder til 90-95&nbsp;% af udgangsniveauet)<\/li>\n    <li>Underskud p\u00e5 &minus;500&nbsp;kcal om dagen: <strong>10 til 15&nbsp;%<\/strong> tilpasning (TDEE falder til 85-90&nbsp;%)<\/li>\n    <li>Underskud p\u00e5 &minus;750&nbsp;kcal om dagen: <strong>15 til 25&nbsp;%<\/strong> tilpasning (TDEE falder til 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-konvention: 100&nbsp;% = optimalt, 90&nbsp;% = 10&nbsp;% tilpasning. Og da NEAT, EAT og TEF alle afh\u00e6nger direkte af BMR, er det n\u00e6sten hele 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\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartAdapt\" aria-label=\"TDEE, der falder fra 2500 til 2150 kcal over 8 uger, mod 2500 fast if\u00f8lge Lifesum\"><\/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. Lifesum-linjen forbliver flad. I uge 6 er du allerede p\u00e5 vedligehold. Uden at have \u00e6ndret noget.<\/p>\n  <\/div>\n\n  <p>Konkret: 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>Lifesum beregner aldrig den metaboliske tilpasning. Den giver dig et fast og statisk kaloriem\u00e5l, s\u00e5 l\u00e6nge du ikke manuelt opdaterer din v\u00e6gt og din aktivitetsfaktor. Du kan f\u00f8lge dit keto-program til punkt og prikke uge efter uge, men n\u00e5r du stagnerer efter 6 ugers cut, aner appen ikke hvorfor. Life Score bliver ved med at stige, TDEE forbliver frosset.<\/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>Lifesum plejer oplevelsen bedre end nogen anden&nbsp;: gr\u00e6nseflade, tematiske programmer, madfotos. Ingen bestrider det her. Men bag en premium gr\u00e6nseflade er beregningen af forbruget den samme som p\u00e5 hele markedet&nbsp;: en populationsformel ganget med et erkl\u00e6ret aktivitetsniveau. Lean har investeret et andet sted, i motoren&nbsp;: at m\u00e5le hver TDEE-komponent (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) plus den metaboliske tilpasning. Her er detaljerne.<\/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\">Trin 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\">Trin 2<strong>BMR genberegnet<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR p\u00e5 reel fedtprocent<\/div>\n      <h3>Patenteret egenudviklet model, baseret p\u00e5 fedtfri masse<\/h3>\n      <p>En perfekt pr\u00e6senteret keto- eller middelhavsplan er stadig kalibreret p\u00e5 et kaloriem\u00e5l. Er det tal 300&nbsp;kcal forkert, er programmet det ogs\u00e5. Lean beregner stofskiftet p\u00e5 den <strong>fedtfri masse<\/strong>, den eneste, der reelt forbruger i hvile.<\/p>\n      <p>Den <strong>AI BodyScan<\/strong> l\u00f8ser m\u00e5lingen&nbsp;: et foto analyseret af en model tr\u00e6net p\u00e5 en bank af DEXA-scanninger, din fedtprocent p\u00e5 f\u00e5 sekunder, gentaget hver uge. Stofskiftet genberegnes af sig selv bagved.<\/p>\n      <p>Ingen hudfoldsm\u00e5ler, ingen impedansv\u00e6gt afh\u00e6ngig af din hydrering, ingen DEXA. Et foto om ugen.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Ingen aktivitetskoefficient<\/div>\n      <h3>NEAT, EAT, TEF beregnet hver for sig<\/h3>\n      <p><strong>NEAT.<\/strong> Dine reelle skridt kommer fra HealthKit (iOS) eller Google Fit (Android). Et tematisk program skelner ikke mellem din uge med hjemmearbejde og din ferieuge&nbsp;: det g\u00f8r Lean, fordi den l\u00e6ser dine skridt i stedet for at sp\u00f8rge om dit aktivitetsniveau.<\/p>\n      <p><strong>EAT.<\/strong> Hvert pas s\u00e6ttes i tal med MET p\u00e5 din effektive anstrengelsestid. En times styrketr\u00e6ning med sine pauser er ikke det samme som en times kontinuerligt l\u00f8b, og at t\u00e6lle begge ens forvrider dit ugentlige regnskab.<\/p>\n      <p><strong>TEF.<\/strong> At ford\u00f8je koster energi, med meget forskellige satser afh\u00e6ngigt af makroerne&nbsp;: 20 til 30&nbsp;% for protein, 5 til 10&nbsp;% for kulhydrater, 1 til 3&nbsp;% for fedt. En proteinrig kost \u00e6ndrer alts\u00e5 dit forbrug, hvilket en fast sats p\u00e5 10&nbsp;% ikke afspejler.<\/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\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><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>Auto-tilpasning<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Automatisk metabolisk tilpasning<\/div>\n      <h3>En verdensnyhed i en forbruger-app<\/h3>\n      <p><strong>Den metaboliske tilpasning.<\/strong> Det er det, der forklarer, at et program fulgt til punkt og prikke holder op med at virke efter to m\u00e5neder. Lean justerer din TDEE nedad efter de publicerede intervaller (M\u00fcller 2015, Doucet 2001) i stedet for at holde samme m\u00e5l fra f\u00f8rste til sidste dag.<\/p>\n      <p>Ud over 10 til 15&nbsp;% tilpasning kan appen r\u00e5de til en tilbagevenden til vedligehold for at s\u00e6tte gang i stofskiftet igen. Cyklus, plateau, cyklus, som i de rigtige protokoller.<\/p>\n      <p>Intet aktivitetsniveau at v\u00e6lge ved tilmeldingen. Hver komponent m\u00e5les, uge efter uge.<\/p>\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 over for Lifesum, kriterium for kriterium<\/h2>\n  <p>\u00c6rlig gennemgang af hver apps styrker og svagheder. Intet kriterium handler om prisen.<\/p>\n\n  <div class=\"table\" role=\"table\" aria-label=\"Sammenligning Lean over for Lifesum\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Kriterium<\/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\/logo-lifesum-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lifesum<\/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 1990, uden fedtfri masse-tilvalg<\/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, m\u00e5lt i appen<\/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, ingen indtastning af fedtprocent mulig<\/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 hver dag<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> HealthKit-synk, kalorie-till\u00e6g for tr\u00e6ning, men uden TDEE-genberegning<\/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> Enkelt sportsvalg, standard \u00f8velsesbase<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (ford\u00f8jelse)<\/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, integreret i 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> Nej, makroer vist uden TEF-beregning<\/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 (sedentary til very active, PAL 1,25 til 1,8)<\/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 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, manuel indtastning eller stregkode<\/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> F\u00f8devaredatabase p\u00e5 tv\u00e6rs af lande, delvist community-drevet<\/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 m\u00e5l, manuel genberegning p\u00e5kr\u00e6vet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">F\u00e6rdige di\u00e6tprogrammer<\/div>\n      <div class=\"cell lean\"><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> Uden for scope, fokus p\u00e5 TDEE-beregning<\/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> Keto, middelhav, periodisk faste, low-carb<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Life Score \/ ern\u00e6ringsgamification<\/div>\n      <div class=\"cell lean\"><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> Uden for scope<\/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> UX-reference inden for velv\u00e6re<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-d\u00e6kning og lokalisering<\/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> FR, EN, ES, PT, IT, DE, PL, HU<\/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> 25+ sprog, grundlagt i Sverige 2008<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Omd\u00f8mme og publikumsst\u00f8rrelse<\/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> 4.7\/5, 10&nbsp;000+ brugere, ung fransk app<\/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> 4.6\/5, 50M+ downloads, kvindeligt velv\u00e6republikum<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Forretningsmodel<\/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> Premium, 7 dages gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet<\/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> Freemium, Premium tilg\u00e6ngelig<\/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>En smuk gr\u00e6nseflade er ikke nok, hvis registreringen af et m\u00e5ltid tager for lang tid. Lean satser p\u00e5 tre komplement\u00e6re metoder, s\u00e5 handlingen forbliver hurtig p\u00e5 sigt.<\/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 bruges f\u00f8rst og fremmest til m\u00e5ltider uden for hjemmet, dem, som ingen forudskrevet plan forudser. Et foto, og din improviserede frokost er registreret.<\/p>\n  <p>Ud over m\u00e5ltidet viser Lean en TDEE, der genberegnes i l\u00f8bet af dagen efter dine skridt. Et tematisk program s\u00e6tter samme m\u00e5l mandag til s\u00f8ndag, uanset din reelle aktivitet.<\/p>\n  <p>Og \u00f8verst, Progressionspyramiden&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=\"lifesum-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c6rlighed<\/span><\/div>\n  <h2 id=\"lifesum-better\">Det Lifesum g\u00f8r bedre<\/h2>\n  <p>Lean er ikke perfekt, og Lifesum har flere reelle styrker, man m\u00e5 anerkende. \u00c6rlig gennemgang, kriterium for kriterium, p\u00e5 de akser, hvor Lifesum stadig er foran. Ingen af disse akser er sekund\u00e6re: det er reelle s\u00f8jler i Lifesums l\u00f8fte, og det, der forklarer dens massive adoption blandt m\u00e5lgruppen kvinder 25-45 med fokus p\u00e5 velv\u00e6re.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Lifesum over for Lean p\u00e5 4 akser UX og vedholdenhed\">\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\/logo-lifesum-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lifesum<\/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\">F\u00e6rdige di\u00e6tprogrammer<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:94%\"><\/i><\/div><div class=\"v\">9,4<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Premium UX-design og ergonomi<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:78%\"><\/i><\/div><div class=\"v\">7,8<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Life Score og daglig gamification<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:88%\"><\/i><\/div><div class=\"v\">8,8<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:30%\"><\/i><\/div><div class=\"v\">3,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Bredt velv\u00e6republikum<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:55%\"><\/i><\/div><div class=\"v\">5,5<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>\u00c6rlig gennemgang.<\/strong> P\u00e5 f\u00e6rdige di\u00e6tprogrammer er Lifesum forbrugerreferencen: keto, middelhav, periodisk faste 16:8, low-carb, pal\u00e6o, hver med indbyggede opskrifter, sin adoptionskurve, sine daglige p\u00e5mindelser. Ingen anden forbruger-app har investeret s\u00e5 meget i den slags f\u00e6rdigt indhold. Lean har intet f\u00e6rdigt di\u00e6tprogram: du v\u00e6lger dine m\u00e5l og tracker, punktum. P\u00e5 UX er Lifesum sandsynligvis markedets mest polerede ern\u00e6ringsapp: bl\u00f8d palet, polerede mikrointeraktioner, onboarding, der tager dig i h\u00e5nden. Lean er ren, men mere nyttebetonet, rettet mod pr\u00e6cision frem for komfort. P\u00e5 gamification er Life Score (et dagligt tal ud af 100, der opsummerer \u00abdin sunde dag\u00bb) en effektiv vedholdenhedsmekanisme for dem, der har brug for et legende visuelt feedback hver aften.<\/p>\n  <p>Er din hovedvinkel at f\u00f8lge et struktureret di\u00e6tprogram (streng keto, middelhav, IF 16:8), vil du have en meget poleret appoplevelse frem for et pr\u00e6cisionsv\u00e6rkt\u00f8j, eller hj\u00e6lper den daglige gamification dig med at holde ved, er Lifesum mere relevant end Lean. Er din vinkel pr\u00e6cisionen i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">TDEE-beregning<\/a>, fedtprocenten m\u00e5lt hver uge via AI BodyScan og den automatiske metaboliske tilpasning, er det pr\u00e6cis det, der lige er blevet p\u00e5vist i de 3 foreg\u00e5ende afsnit. Mange brugere k\u00f8rer Lean til m\u00e5lingen og Lifesum parallelt til programstrukturen, det er fuldt forsvarligt.<\/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 fulgt et Lifesum-program seri\u00f8st og har ikke tabt dig<\/h4>\n        <p>Du har fulgt keto, middelhav eller 16:8 ordentligt, respekteret dine m\u00e5ltider, holdt ved i flere uger, og du stagnerer. Det er ikke programmet, der er skyld, det er den TDEE frosset af Mifflin 1990 uden fedtprocent, som dine kaloriem\u00e5l bygger p\u00e5. 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) og forklarer derefter tilpasningen separat, 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>Lifesum er stadig mere relevant til<\/strong>&nbsp;: at f\u00f8lge et struktureret di\u00e6tprogram (keto, middelhav, periodisk faste 16:8, low-carb), nyde en meget poleret appoplevelse t\u00e6nkt til velv\u00e6re, eller l\u00e6ne sig op ad Life Scores gamification for at holde ved i hverdagen. Pr\u00e6cisionen i TDEE-beregningen og den metaboliske tilpasning er bare ikke en del af dens hovedl\u00f8fte.<\/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\">Skift fra Lifesum til Lean (eller brug begge) p\u00e5 3 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>Du indtaster 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 p\u00e5 reel fedtprocent, NEAT via HealthKit \/ Google Fit (reelle skridt), EAT per MET, TEF fra makroer, plus den metaboliske tilpasning, der modulerer BMR. Automatisk.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Track et m\u00e5ltid<\/h4><p>Foto, stregkode eller database. Du forst\u00e5r flowet.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Vigtig note.<\/strong> Lean importerer ikke din Lifesum-historik automatisk, heller ikke dine brugerdefinerede opskrifter. F\u00f8lger du et di\u00e6tprogram hos Lifesum, som du vil beholde (keto, middelhav, 16:8), forts\u00e6tter mange brugere med at konsultere Lifesum-planen til strukturen af deres m\u00e5ltider og opskriftsid\u00e9er, mens de bruger Lean dagligt til TDEE-beregning og pr\u00e6cis tracking. HealthKit \/ Google Health Connect-synkroniseringen tager derimod straks over for dine skridt og din aktivitetshistorik.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Download Lean og start AI BodyScan nu. Gratis tilmelding.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/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 Lifesum ikke g\u00f8r (p\u00e5 TDEE)<\/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\">Fedtprocent<\/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\">Tilpasning<\/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\">Ofte stillede sp\u00f8rgsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details><summary>Lifesum er kendt for sine di\u00e6tplaner, hvorfor sammenligne den med Lean p\u00e5 TDEE&nbsp;?<\/summary><div class=\"ans\">Lifesum er kendt for sine premium di\u00e6tplaner (keto, periodisk faste, middelhav, skandinavisk), sin polerede UX og sit opskriftsbibliotek. Det er en reel styrke til kulinarisk inspiration og variation af protokoller. Men den underliggende kaloriemotor er stadig Mifflin-St Jeor 1990 uden fedtprocent, plus en statisk aktivitetsfaktor valgt i tilmeldingsquizzen. P\u00e5 TDEE er motoren basal. Lean genberegner hver dag din BMR p\u00e5 din reelle fedtprocent m\u00e5lt med AI BodyScan og modulerer med den metaboliske tilpasning. De to apps spiller ikke p\u00e5 samme bane.<\/div><\/details>\n    <details><summary>Hvorfor beregner Lifesum ikke BMR p\u00e5 reel fedtprocent&nbsp;?<\/summary><div class=\"ans\">Lifesum anvender Mifflin-St Jeor 1990 som standard uden fedtfri masse-tilvalg. Ingen fedtprocentm\u00e5ling er indbygget i appen, og ingen ligning af typen Katch-McArdle tilbydes, selv ikke i avancerede indstillinger. Konsekvensen er mekanisk&nbsp;: to brugere med samme v\u00e6gt, men med 12 og 30 procent fedtprocent f\u00e5r samme Lifesum-BMR, selv om deres reelle forbrug kan afvige med 400 til 500 kcal om dagen. Lean integrerer AI BodyScan til at m\u00e5le din fedtprocent fra et simpelt foto, gentaget hver uge.<\/div><\/details>\n    <details><summary>Er Lifesums Life Score og food ratings et reelt metabolisk m\u00e5l&nbsp;?<\/summary><div class=\"ans\">Nej. Life Score og f\u00f8devareratings (A, B, C, D, E) klassificerer f\u00f8devarer efter deres n\u00e6ringst\u00e6thed og di\u00e6tetiske interesse. Det er et p\u00e6dagogisk v\u00e6rkt\u00f8j for madkvalitet, ikke et m\u00e5l for energiforbrug. Det er effektivt til at styre de daglige valg, men det p\u00e5virker ikke TDEE-beregningen. P\u00e5 dit reelle stofskifte bliver Lifesum p\u00e5 Mifflin 1990 plus en statisk aktivitetsfaktor. Life Score \u00e6ndrer ikke det beregnede kaloriem\u00e5l.<\/div><\/details>\n    <details><summary>Lifesum importerer skridt via HealthKit, er det nok til NEAT&nbsp;?<\/summary><div class=\"ans\">Lifesum synkroniserer Apple Health og Google Fit for skridt og visse pas og kan tilf\u00f8je et kalorie-till\u00e6g for opdagede \u00f8velser. Men den grundl\u00e6ggende TDEE-beregning er stadig baseret p\u00e5 aktivitetsfaktoren valgt ved tilmeldingen blandt fem bokse (sedentary, low active, regular, active, very active). NEAT m\u00e5lt dag for dag genopbygger ikke det samlede forbrug. Lean beregner NEAT direkte ud fra de reelle skridt m\u00e5lt hver dag, uden koefficient at v\u00e6lge.<\/div><\/details>\n    <details><summary>Er Lean freemium eller betalt&nbsp;?<\/summary><div class=\"ans\">Lean er Premium med 7 dages gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet. Du downloader, du tester AI BodyScan, AI-fotoscanning af en ret, TDEE-rekomposition, uden binding. Passer v\u00e6rkt\u00f8jet til dit m\u00e5l, forts\u00e6tter du. Ellers sl\u00e5r du fornyelsen fra, f\u00f8r pr\u00f8veperioden udl\u00f8ber.<\/div><\/details>\n    <details><summary>Kan man bruge Lean og Lifesum parallelt&nbsp;?<\/summary><div class=\"ans\">Ja, det er forsvarligt, hvis du s\u00e6tter pris p\u00e5 Lifesums opskrifter og di\u00e6tplaner til at strukturere din uge, eller hvis du vil variere protokollerne (keto, faste, middelhav). Lean tager sig af den metaboliske motor (BMR p\u00e5 reel fedtprocent, NEAT, EAT, TEF, tilpasning), Lifesum giver dig kulinarisk variation og di\u00e6tetisk vejledning. Databaserne er forskellige (USDA + OpenFoodFacts hos Lean, egen base hos Lifesum), s\u00e5 indsatsen med dobbelt indtastning er reel&nbsp;: det er en afvejning efter dine prioriteter.<\/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\">1990 over for 2026<\/h2>\n  <p>Det er ikke Lifesum over for Lean i markedsf\u00f8ring. Det er den premium di\u00e6tindpakning over for TDEE-pr\u00e6cision, to forskellige l\u00f8fter.<\/p>\n  <p>Lifesum er stadig en af de bedste forbruger-apps til di\u00e6tplaner, opskrifter og kvaliteten af sin UX. Men til din TDEE bruger Lifesum Mifflin-St Jeor 1990 uden fedtprocent m\u00e5lt i appen, plus en fastl\u00e5st aktivitetsfaktor, du krydser af \u00e9n enkelt gang ved tilmeldingen (sedentary, low active, regular, active, very active), og ignorerer den metaboliske tilpasning. Kombinationen af de tre g\u00f8r enhver pr\u00e6cis kalorieopf\u00f8lgning umulig ud over nogle f\u00e5 ugers cut. 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\/\">reelle fedtprocent<\/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>, plus den metaboliske tilpasning, der modulerer BMR uge efter uge. Hver komponent beregnet pr\u00e6cist, uden magisk koefficient.<\/p>\n  <p>Lifesum er stadig meget solid p\u00e5 di\u00e6tplaner, opskrifter og ern\u00e6ringsp\u00e6dagogik. Har du pr\u00f8vet Lifesum seri\u00f8st og ikke f\u00e5et de resultater, du h\u00e5bede p\u00e5 i dit cut, er problemet ikke dig, og heller ikke Lifesum p\u00e5 dens di\u00e6tetiske l\u00f8fte. Problemet er den frosne TDEE under motorhjelmen. Skift motoren, behold den kulinariske inspiration parallelt, hvis du har brug for den.<\/p>\n<\/section>\n\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean kan downloades gratis<\/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\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean i App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean p\u00e5 Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Intern linkning<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">Gratis TDEE-beregner online<\/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\/\">S\u00e5dan t\u00e6ller du dine kalorier korrekt<\/a> &middot; praktisk guide for begyndere.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT&nbsp;: forbrug per skridt og aktivitet uden for sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF&nbsp;: ford\u00f8jelsen forbr\u00e6nder kalorier<\/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\">Kilder<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/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>Katch V.L., McArdle W.D. (1973). Prediction of body density from simple anthropometric measurements in college-age men and women. Human Biology.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n    <li>Schakel S.F., Sievert Y.A., Buzzard I.M. (1988). Sources of data for developing and maintaining a nutrient database (NCCDB). Journal of the American Dietetic Association.<\/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 23. 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\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script>\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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lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">L\u00e6s ogs\u00e5<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Basalstofskifte (BMR): alt du skal vide for at beregne det <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definition, TDEE-ligning, 4 historiske formler, hvorfor fedtprocenten \u00e6ndrer alt.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Samlet energiforbrug (TDEE): den kanoniske formel BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Forst\u00e5 de 4 byggesten + den metaboliske tilpasning, videnskabelige kilder 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/comparatifs-croises\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">MyFitnessPal eller Yazio? 12 dueller mellem kalorie-apps sammenlignet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Dommen i hver duel med \u00e9t blik&nbsp;: hvem vinder p\u00e5 hvad, og det, ingen af de to beregner.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">De bedste apps til at t\u00e6lle kalorier i 2026: 8 apps testet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Hvilket alternativ til MyFitnessPal i 2026? 5 apps testet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">\u00c6rlig sammenligning, TDEE-pr\u00e6cision, ergonomi.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Alle Lean-sammenligninger over for de store kalorie-apps <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean over for MyFitnessPal: TDEE-formlen, der \u00e6ndrer alt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor MFP tager fejl af dit reelle kalorieforbrug.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean over for Foodvisor: fotoscanningens pioner vs reelt forbrug <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Foodvisor ser din tallerken. Lean genopbygger din TDEE kontinuerligt.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Lifesum Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Lifesum. Le wrapping di\u00e9t\u00e9tique premium face au seul qui recompose ton TDEE en continu. Lifesum vend du coaching di\u00e8te. Lean voit ta d\u00e9pense r\u00e9elle. Deux promesses qui ne jouent pas sur le m\u00eame terrain. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1407","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs Lifesum: design eller beregningspr\u00e6cision? - Lean<\/title>\n<meta name=\"description\" content=\"Lifesum vinder p\u00e5 interface og m\u00e5ltidsplaner, Lean p\u00e5 TDEE-pr\u00e6cision ud fra reelt kropsfedt. \u00c6rlig sammenligning af styrker og svagheder.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/da\/lean-vs-lifesum\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs Lifesum: design eller beregningspr\u00e6cision? - Lean\" \/>\n<meta property=\"og:description\" content=\"Lifesum plejer oplevelsen og opskrifterne, Lean den metaboliske pr\u00e6cision. 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