{"id":1241,"date":"2026-05-21T18:28:26","date_gmt":"2026-05-21T18:28:26","guid":{"rendered":"https:\/\/lean-app.com\/?p=1241"},"modified":"2026-09-05T10:53:33","modified_gmt":"2026-09-05T10:53:33","slug":"lean-vs-myfitnesspal","status":"publish","type":"post","link":"https:\/\/lean-app.com\/no\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal: TDEE-formelen som endrer alt"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1241 #lvm-shell .wrap,\nbody.postid-1241 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1241 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 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grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    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.tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1241 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1241 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1241 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/no\/\" aria-label=\"Accueil Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">TDEE-kalkulator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger sur l'App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"Disponible sur Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/no\/\">Hjem<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">Sammenligning &middot; Ern\u00e6ring &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">TDEE-formelen som endrer alt. 1919 mot 2025, i vitenskap.<\/span>\n  <\/h1>\n  <p class=\"dek\">Hvorfor MyFitnessPal tar feil for 80&nbsp;% av brukerne, og alternativet som gj\u00f8r det MFP ikke kan.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; Lesetid 12&nbsp;min &middot; Oppdatert 21. mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis nedlasting<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal beregner TDEE-en din med en formel fra 1919 (Harris-Benedict) uten fettprosent, pluss en nesten tilfeldig aktivitetskoeffisient, og ignorerer den metabolske tilpasningen. M\u00e5let ditt kan v\u00e6re 500 til 800&nbsp;kcal feil. Lean beregner hver komponent presist p\u00e5 nytt, uten koeffisient \u00e5 velge.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran pour explorer l&rsquo;app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran<br>for \u00e5 utforske 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=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbake\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbruk-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversikt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">D\u00e9pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat\u00e9gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Raskt svar<\/div>\n    <p>MyFitnessPal beregner TDEE-en din med en formel fra 1919 (Harris-Benedict) uten fettprosent, pluss en nesten tilfeldig aktivitetskoeffisient, og ignorerer den metabolske tilpasningen. Kalorim\u00e5let ditt kan v\u00e6re 500 til 800&nbsp;kcal feil. Lean beregner hver komponent p\u00e5 nytt (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi brukt i hvile. Hos Lean beregnet p\u00e5 den reelle fettfrie massen via AI BodyScan.<\/span><\/span> p\u00e5 reell fettprosent, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Forbruk knyttet til skritt og daglige aktiviteter utenom trening.<\/span><\/span> per skritt, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Forbruk knyttet til trenings\u00f8ktene dine, beregnet via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi brukt p\u00e5 ford\u00f8yelsen. Avhenger av inntatte makroer.<\/span><\/span> per makroer, automatisk metabolsk tilpasning) uten aktivitetskoeffisient \u00e5 velge.<\/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; Situasjonen<\/span><\/div>\n  <h2 id=\"constat\">Hvorfor 80&nbsp;% av MFP-brukerne ikke g\u00e5r ned i vekt til tross for et \u00ab&nbsp;underskudd&nbsp;\u00bb<\/h2>\n  <p>Leser du dette, har du trolig v\u00e6rt gjennom det. Du lastet ned MyFitnessPal, fylte ut profilen din, og appen fortalte deg \u00ab&nbsp;din <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Formelen BMR + NEAT + EAT + TEF, pluss den metabolske tilpasningen som modulerer BMR.<\/span><\/span> er 2&nbsp;500&nbsp;kcal per dag, spis 2&nbsp;250&nbsp;kcal for \u00e5 g\u00e5 ned i vekt&nbsp;\u00bb. Du gjorde det. Religi\u00f8st. Du veide maten din. Du gikk til og med over til Premium. Og ved m\u00e5nedens slutt har du samme vekt. Eller litt mer.<\/p>\n  <p>Du tenker&nbsp;: \u00ab&nbsp;jeg m\u00e5 ha logget feil, jeg m\u00e5 ha undervurdert kaloriene mine&nbsp;\u00bb. Du strammer inn. Du g\u00e5r ned til 2&nbsp;000&nbsp;kcal. Igjen, ingenting.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">av MFP-brukerne stagnerer til tross for et teoretisk underskudd. Problemet er ikke viljestyrken deres. Det er beregningen av TDEE-en deres.<\/div>\n  <\/div>\n\n  <p>Tenk deg at MFP viser deg en TDEE p\u00e5 2&nbsp;500&nbsp;kcal. Du spiser 2&nbsp;250 (teoretisk underskudd p\u00e5 250&nbsp;kcal). Men i virkeligheten er din <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">TDEE 2&nbsp;200&nbsp;kcal<\/a>. Da finnes det ingen sjanse, jeg sier <strong>ingen sjanse<\/strong>, for at du g\u00e5r ned i vekt. Du er i overskudd p\u00e5 50&nbsp;kcal uten \u00e5 vite det.<\/p>\n  <p>Derfor er det avgj\u00f8rende, ekstremt viktig, \u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/\">beregne forbruket ditt perfekt<\/a>. Og det er n\u00f8yaktig der MyFitnessPal feiler.<\/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-formelen fra 1919<\/h2>\n  <p>For \u00e5 beregne basalmetabolismen din (BMR, energien du forbrenner i hvile) bruker MyFitnessPal Harris-Benedict-ligningen. Eller dens direkte avlegger, Mifflin-St Jeor. Avhengig av appversjon.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1 &middot; Mann 1,80&nbsp;m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Comparaison BMR Harris-Benedict 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Ansl\u00e5tt BMR.<\/strong> Leans patenterte propriet\u00e6re modell tar hensyn til den fettfrie massen. Harris-Benedict (MFP) gj\u00f8r det ikke. Avvik p\u00e5 500&nbsp;kcal, tilsvarende en hel lunsj.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict er fra 1919. Vi er ved slutten av f\u00f8rste verdenskrig. To forskere tar 239 personer, i \u00e9n enkelt by (Boston), legger dem i en seng med en maske for \u00e5 beregne oksygenforbruket, og kommer ut med en formel som avhenger av vekt, h\u00f8yde, alder og kj\u00f8nn.<\/p>\n  <p>For sin tid var det nyskapende. I 2025 er det ubrukelig. Tre grunner&nbsp;:<\/p>\n  <ol>\n    <li><strong>Utvalget er latterlig<\/strong>&nbsp;: 239 personer, fra \u00e9n enkelt amerikansk by, i 1918. I en tid med langt mindre overvekt enn i dag, der hormonniv\u00e5ene og den gjennomsnittlige kroppssammensetningen ikke lignet v\u00e5re i det hele tatt.<\/li>\n    <li><strong>M\u00e5leinstrumentet var upresist<\/strong>&nbsp;: datidens indirekte kalorimetri hadde en enorm feilmargin. Nyere studier har vist at Harris-Benedict systematisk overvurderer basalmetabolismen.<\/li>\n    <li><strong>Den konseptuelle feilen<\/strong>&nbsp;: formelen tar bare hensyn til vekten. Ikke fettprosenten. Ikke den fettfrie massen.<\/li>\n  <\/ol>\n  <p>Men siden 1980-tallet har vi visst at <strong>fettmassen bruker sv\u00e6rt lite energi<\/strong> sammenlignet med resten av kroppen. Leveren, hjernen, hjertet, nyrene og fremfor alt musklene er de reelle forbrukspostene. Fettmassen er inert. En person med 30&nbsp;% fettprosent forbrenner slett ikke like mye som en person med 10&nbsp;% fettprosent, selv ved lik vekt.<\/p>\n\n  <p>500&nbsp;kcal er ikke ingenting. Hvis MFP sier \u00ab&nbsp;BMR-en din er 2&nbsp;500&nbsp;\u00bb og den i virkeligheten er 2&nbsp;000, er alt som f\u00f8lger feil.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Bodyfat r\u00e9el<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">i avvik mellom to menn p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fettprosent (BMR 1&nbsp;900), den andre med 30&nbsp;% (BMR 1&nbsp;500). MFP gir dem samme tall.<\/div>\n  <\/div>\n\n  <p>Delkonklusjon&nbsp;: hvis en app beregner BMR-en din utelukkende fra vekt, h\u00f8yde, alder og kj\u00f8nn, l\u00f8p. Det er matematisk umulig \u00e5 f\u00e5 et p\u00e5litelig resultat.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problem 2<\/span><\/div>\n  <h2 id=\"p2\">Den \u00ab&nbsp;nesten tilfeldige&nbsp;\u00bb aktivitetskoeffisienten<\/h2>\n  <p>Her blir det alvorlig. Og det er trolig punktet ingen har forklart deg.<\/p>\n  <p>N\u00e5r MFP har beregnet BMR-en din (feilaktig), m\u00e5 den ansl\u00e5 den totale TDEE-en din. Den <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">TDEE er BMR + alt det andre<\/a>&nbsp;: forbruket knyttet til skritt, daglige aktiviteter, trening og ford\u00f8yelse. Alt som ikke er basalmetabolisme.<\/p>\n  <p>Hvordan gj\u00f8r MyFitnessPal det&nbsp;? Den ber deg krysse av i en boks&nbsp;:<\/p>\n  <ul><li>Stillesittende<\/li><li>Lite aktiv<\/li><li>Aktiv<\/li><li>Sv\u00e6rt aktiv<\/li><\/ul>\n  <p>Og etter valget ditt multipliserer den BMR-en din med en koeffisient (typisk 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). Det er alt. Det er alt som ligger bak det daglige kalorim\u00e5let ditt. En boks DU krysset av \u00e9n eneste gang ved registreringen. Ofte for seks m\u00e5neder siden. Uendret siden.<\/p>\n  <p>Og her er den stille skandalen&nbsp;: denne tiln\u00e6rmingen er <strong>ekstremt uperfekt<\/strong>. Forskjellen mellom en dag der du er klistret til sofaen foran Netflix og en dag der du drar til Disneyland med barna og g\u00e5r 15&nbsp;km, <strong>det er over 1&nbsp;000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 reelle dager<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon MyFitnessPal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reelt forbruk<\/strong> m\u00e5lt over 7&nbsp;dager for en Lean-bruker. Den gr\u00e5 linjen er det MFP viste (2&nbsp;400&nbsp;kcal fast). De rosa merknadene viser hvorfor hver dag beveger seg.<\/p>\n  <\/div>\n\n  <p>Du kan ikke redusere aktivitetsniv\u00e5et ditt til en statisk boks. Du er kanskje aktiv de ukene du har lite hjemmekontor, og stillesittende de ukene du ikke forlater kontoret. Du er kanskje aktiv om sommeren og stillesittende om vinteren. Du er kanskje aktiv fra tirsdag til fredag og stillesittende i helgen.<\/p>\n  <p>Hvilken boks skal du krysse av denne uken&nbsp;? Sannheten er at ingen av de 4 vil v\u00e6re riktig. Og dermed gir MFP deg en TDEE som systematisk er frakoblet virkeligheten.<\/p>\n  <p>Det er nesten tilfeldig. Det er til og med litt bedre enn en loddtrekning, men ikke mye.<\/p>\n  <p>N\u00f8kkelpoenget i denne artikkelen&nbsp;: selv om MyFitnessPal hadde en perfekt BMR-formel (noe den ikke har), ville aktivitetskoeffisienten v\u00e6re nok til \u00e5 \u00f8delegge alt. Du kan ikke ansl\u00e5 en <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT<\/a>, en EAT og en <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF<\/a> med \u00e9n enkelt multiplikator brukt p\u00e5 BMR. Det er konseptuelt absurd.<\/p>\n  <p>Du har skj\u00f8nt det&nbsp;: <strong>en helt feil BMR-formel, pluss en tiln\u00e6rming av de andre forbrukspostene, gir ingen sjanse til \u00e5 n\u00e5 m\u00e5lene dine.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Se din reelle TDEE, delt opp i BMR + NEAT + EAT + TEF. Gratis nedlasting.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Den ignorerte metabolske tilpasningen<\/h2>\n  <p>Dette er sluttbossen. Det fineste begrepet. Og trolig det viktigste.<\/p>\n  <p>N\u00e5r du er i kaloriunderskudd, forst\u00e5r kroppen din at den f\u00e5r mindre energi enn f\u00f8r. For \u00e5 beskytte seg g\u00e5r den i sparemodus. N\u00f8yaktig som str\u00f8msparingsmodusen p\u00e5 iPhonen din&nbsp;: alt fortsetter \u00e5 fungere, men med mindre energi. BMR-en din synker. NEAT-en din synker. EAT-en din synker.<\/p>\n  <p>Det er det som kalles metabolsk tilpasning. Her er tallene&nbsp;:<\/p>\n  <ul>\n    <li>Underskudd p\u00e5 &minus;250&nbsp;kcal per dag, over 2 til 8 uker&nbsp;: metabolsk tilpasning p\u00e5 <strong>5 til 10&nbsp;%<\/strong><\/li>\n    <li>Underskudd p\u00e5 &minus;500&nbsp;kcal per dag&nbsp;: <strong>10 til 15&nbsp;%<\/strong><\/li>\n    <li>Underskudd p\u00e5 &minus;750&nbsp;kcal per dag&nbsp;: <strong>15 til 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>Og siden NEAT, EAT og TEF alle avhenger av BMR, p\u00e5virkes nesten hele TDEE-en din.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 uker i underskudd<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon MFP\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reell TDEE<\/strong> over 8 uker med underskudd p\u00e5 &minus;500&nbsp;kcal\/dag. Den rosa kurven synker. Den gr\u00e5 MFP-linjen forblir flat. I uke 6 er du allerede p\u00e5 vedlikehold. Uten \u00e5 ha endret noe.<\/p>\n  <\/div>\n\n  <p>Konkret&nbsp;: hvis du hadde planlagt et underskudd p\u00e5 10&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;500 (alts\u00e5 spise 2&nbsp;250 per dag), og kroppen din tilpasser seg med 10&nbsp;%, er den reelle TDEE-en din n\u00e5 2&nbsp;250. Du er p\u00e5 vedlikehold. Du g\u00e5r ikke ned lenger.<\/p>\n  <p>Fellen er at det er snikende. I starten g\u00e5r du ned. Du er forn\u00f8yd. Du fortsetter. Men uke etter uke akkumuleres tilpasningen. Og p\u00e5 et tidspunkt, uten \u00e5 ha endret noe i loggingen din, <strong>slutter du \u00e5 g\u00e5 ned<\/strong>.<\/p>\n  <p>95&nbsp;% av folk g\u00e5r gjennom dette uten \u00e5 forst\u00e5 det. De skylder p\u00e5 viljestyrken sin. De skylder p\u00e5 sitt \u00ab&nbsp;\u00f8delagte stoffskifte&nbsp;\u00bb. De g\u00e5r i gang med hardere dietter, noe som forverrer tilpasningen. Spiral.<\/p>\n  <p>MyFitnessPal beregner aldri den metabolske tilpasningen. Den gir deg et fast og statisk m\u00e5l. N\u00e5r du stagnerer etter 6 uker, aner ikke appen hvorfor.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-l\u00f8sningen<\/span><\/div>\n  <h2 id=\"solution\">Hvordan Lean l\u00f8ser hvert av de 3 problemene<\/h2>\n  <p>Lean ble ikke bygget som en forbedret klone av MyFitnessPal. Lean ble bygget som appen vi skulle \u00f8nske vi hadde for \u00e5 f\u00f8lge teorien om den komplette TDEE-en seri\u00f8st. Konkret, her er hvordan Lean behandler hver komponent.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Trinn 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\">Trinn 2<strong>Omberegnet BMR<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; BMR p\u00e5 reell fettprosent<\/div>\n      <h3>Patentert propriet\u00e6r modell, basert p\u00e5 fettfri masse<\/h3>\n      <p>Lean bruker en <strong>patentert propriet\u00e6r modell<\/strong> som avhenger direkte av den fettfrie massen, ikke av r\u00e5vekten. Til det trenger appen fettprosenten din. Og der angriper vi det historisk mest irriterende&nbsp;: hvordan m\u00e5le fettprosenten sin uten \u00e5 betale 100&nbsp;\u20ac i uken for en DEXA-skanning&nbsp;?<\/p>\n      <p>Leans svar&nbsp;: <strong>AI BodyScan<\/strong>. Du tar et bilde, appen sender det gjennom en modell trent p\u00e5 en massiv bank av DEXA-skanninger, og du f\u00e5r den ansl\u00e5tte fettprosenten din p\u00e5 noen sekunder. Du kan gjenta det hver uke. BMR beregnes automatisk p\u00e5 nytt.<\/p>\n      <p>Farvel hudfoldsm\u00e5ler (upresis), farvel impedansvekt (\u00e5rhundrets svindel), farvel DEXA-skanning (perfekt, men utilgjengelig). Ett foto, 5 sekunder.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.02 &middot; Ingen aktivitetskoeffisient<\/div>\n      <h3>NEAT, EAT, TEF beregnet hver for seg<\/h3>\n      <p><strong>NEAT.<\/strong> Lean henter det reelle antallet skritt via HealthKit (iOS) eller Google Fit (Android). Ingen egenerkl\u00e6ring. Ingen \u00ab&nbsp;jeg g\u00e5r nok, tror jeg&nbsp;\u00bb. Skrittene dine, m\u00e5lt av de sv\u00e6rt presise akselerometrene i smarttelefonen din. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT beregnes ved \u00e5 krysse disse skrittene med BMR-en din<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> For hver trenings\u00f8kt velger du idretten fra en liste (styrketrening, l\u00f8ping, tennis, sv\u00f8mming osv.), og Lean bruker MET-verdien (Metabolic Equivalent Task) for denne idretten til \u00e5 beregne det reelle forbruket. Du oppgir den <strong>effektiv<\/strong> treningstiden (ikke totaltiden med pauser&nbsp;: feilen 100&nbsp;% av smartklokkene gj\u00f8r). En styrke\u00f8kt p\u00e5 1&nbsp;050&nbsp;kcal if\u00f8lge Apple Watch&nbsp;? Virkeligheten er snarere 200&nbsp;kcal. Lean nekter denne avdriften.<\/p>\n      <p><strong>TEF.<\/strong> Ford\u00f8yelsen forbrenner energi, og det er ikke en fast sats p\u00e5 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">Proteiner koster 20 til 30&nbsp;%<\/a> av kaloriene sine p\u00e5 ford\u00f8yelse. Karbohydrater 5 til 10&nbsp;%. Fett 1 til 3&nbsp;%. Lean beregner din reelle TEF ut fra makroene dine. P\u00e5 3&nbsp;000&nbsp;kcal\/dag kan det utgj\u00f8re 100&nbsp;kcal i avvik avhengig av kostholdets sammensetning.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.03 &middot; Automatisk metabolsk tilpasning<\/div>\n      <h3>En verdensnyhet i en forbrukerapp<\/h3>\n      <p>Lean er, s\u00e5 vidt vi vet, den f\u00f8rste appen som beregner den metabolske tilpasningen automatisk. Etter hvert som ukene i underskudd g\u00e5r, justerer appen TDEE-en din nedover etter vitenskapelig etablerte tall. Du trenger ikke gj\u00f8re noe. Du ser bare kalorim\u00e5let ditt justere seg forsiktig, uten overraskelser.<\/p>\n      <p>N\u00e5r du n\u00e5r 10 til 15&nbsp;% tilpasning, kan appen anbefale en retur til vedlikehold for \u00e5 nullstille BMR-en din f\u00f8r du g\u00e5r i underskudd igjen. Syklus, plat\u00e5, syklus. Som i de ekte protokollene.<\/p>\n      <p>Ingen aktivitetskoeffisient \u00e5 velge. Ingen statisk boks. Bare hver komponent beregnet presist, uke for uke.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode<strong>Metabolsk tilpasning<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Sammenligningstabell<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, kriterium for kriterium<\/h2>\n  <p>\u00c6rlig lesning av styrkene og svakhetene til hver app. Ingen kriterier gjelder pris.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#F5F5F7;border:1.5px solid #D1D1D6;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#0E0E10;letter-spacing:-0.2px\">MyFitnessPal<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Comparatif Lean vs MyFitnessPal\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">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\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>MyFitnessPal<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formel<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Patentert propriet\u00e6r modell (fettfri 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 (bare vekt)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tar hensyn til fettprosent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e5ling av fettprosent 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> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (skritt, aktivitet utenom trening)<\/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 skritt<\/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> Samlet i koeffisienten<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (treningsforbruk)<\/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 idrett via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Lite p\u00e5litelige faste anslag<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (ford\u00f8yelse)<\/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 etter makroer<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ikke beregnet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolsk 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, uke for uke<\/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> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoeffisient \u00e5 velge<\/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> Nei, 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 bokser<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoskanning av en rett<\/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, ubegrenset<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Begrenset<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Strekkodeskanning<\/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\">Matvaredatabase<\/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, kuratert<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Brukergenerert, opptil 10&nbsp;000 varianter av samme matvare<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Anbefaling kaloriunderskudd<\/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-en<\/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 anslag<\/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; Sporing<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder for \u00e5 logge et m\u00e5ltid<\/h2>\n  <p>\u00c5 telle kalorier er bra. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/\">\u00c5 gj\u00f8re det i 12 m\u00e5neder er noe helt annet<\/a>. Prinsipp nr. 1, <strong>f\u00f8r vitenskapen, f\u00f8r makroene, f\u00f8r alt annet<\/strong>, er etterlevelse. Hvis sporingsmetoden g\u00e5r deg p\u00e5 nervene, slutter du etter 3 uker. Lean tilbyr 3 metoder for \u00e5 logge et m\u00e5ltid&nbsp;:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 2<strong>Strekkode<\/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-fotoskanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>S\u00f8k i databasen.<\/strong> Kuratert base, USDA + OpenFoodFacts. Ingen st\u00f8y fra brukere, ingen \u00ab&nbsp;Grillet kylling&nbsp;\u00bb lagt inn 47 ganger av 47 ulike brukere med 47 ulike verdier.<\/li>\n    <li><strong>Strekkodeskanning.<\/strong> Standard. Du skanner pastapakken din, du f\u00e5r makroene.<\/li>\n    <li><strong>AI-fotoskanning av en rett.<\/strong> Du tar bilde av tallerkenen din, AI-en gjenkjenner matvarene, du f\u00e5r kalorier og makroer per matvare.<\/li>\n  <\/ol>\n  <p>AI-fotoskanningen er game changeren for etterlevelse. N\u00e5r du spiser ute, p\u00e5 restaurant, hos venner, er det megapraktisk. Ett bilde, du lukker appen, du nyter kvelden. Ja, det er mindre presist enn \u00e5 veie p\u00e5 grammet med en kj\u00f8kkenvekt. Men over 12 m\u00e5neder er det det som utgj\u00f8r forskjellen mellom \u00e5 holde ut og \u00e5 gi opp. Og \u00e5 holde ut er det som teller.<\/p>\n  <p>Utover logging per m\u00e5ltid viser Lean en <strong>Live-TDEE som oppdateres i l\u00f8pet av dagen<\/strong>. Jo mer du g\u00e5r, jo mer \u00f8ker forbruket ditt, jo mer justeres kalorim\u00e5let ditt for dagen. Du ser kaloribalansen din direkte. Det er mer motiverende enn et tall frosset klokka 8 om morgenen.<\/p>\n  <p>Og over alt dette finnes <strong>Progresjonspyramide<\/strong>. Det er et skjermbilde i appen som rangerer det som teller&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leans Progresjonspyramide\">\n    <div class=\"level l1\"><span>Etterlevelse<\/span><span class=\"k\">Grunnmur<\/span><\/div>\n    <div class=\"level l2\"><span>Kalorim\u00e5l<\/span><span class=\"k\">Etasje 2<\/span><\/div>\n    <div class=\"level l3\"><span>Skritt \/ NEAT<\/span><span class=\"k\">Etasje 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e6ringsstoffer<\/span><span class=\"k\">Topp<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Ikke hopp over trinn. Hvis du ikke er regelmessig i loggingen, er det nyttel\u00f8st \u00e5 optimalisere makroene p\u00e5 prosenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"mfp-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c6rlighet<\/span><\/div>\n  <h2 id=\"mfp-better\">Det MyFitnessPal gj\u00f8r bedre<\/h2>\n  <p>Lean er ikke perfekt, MFP har noen fordeler man m\u00e5 anerkjenne. \u00c6rlig lesning, kriterium for kriterium, p\u00e5 aksene der MFP fortsatt leder.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard MFP vs Lean sur 4 axes secondaires\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Akse<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> MyFitnessPal<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Kjennskap &amp; veiledninger p\u00e5 nett<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Databasest\u00f8rrelse<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Fellesskap \/ sosial feed<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Integrasjoner med tredjepartsapper<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>\u00c6rlig lesning.<\/strong> P\u00e5 kjennskap og sosial feed ligger MFP fortsatt foran. P\u00e5 r\u00e5 st\u00f8rrelse p\u00e5 matvaredatabasen har MFP flere oppf\u00f8ringer (men de 14 millioner oppf\u00f8ringene er brukergenererte og st\u00f8yende, opptil 10&nbsp;000 varianter av samme matvare). P\u00e5 tredjepartsintegrasjoner har MFP et bredere \u00f8kosystem. Lean integreres med HealthKit og Google Fit, som dekker 95&nbsp;% av tilfellene.<\/p>\n  <p>Kort sagt, hvis alt du vil ha er en grov matdagbok uten presist m\u00e5l, holder MFP i massevis. Hvis du vil miste fett metodisk med en <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">presis TDEE<\/a>, holder ikke MFP, og det er det som nettopp er vist i de 3 foreg\u00e5ende avsnittene.<\/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; For hvem<\/span><\/div>\n  <h2 id=\"forwho\">Hvem Lean er laget for<\/h2>\n  <p>4 profiler. Kjenner du deg igjen i minst \u00e9n, er Lean trolig laget for deg.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har pr\u00f8vd MFP seri\u00f8st og ikke g\u00e5tt ned<\/h4>\n        <p>Du har fulgt et \u00e6rlig underskudd i ukevis, uten resultat. \u00c5rsaken er h\u00f8yst sannsynlig den feilaktige TDEE-en. Lean retter det ved roten via BMR p\u00e5 reell fettprosent.<\/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 etter flere uker med deff<\/h4>\n        <p>Plat\u00e5 som varer etter 4 til 8 uker. Det er den metabolske tilpasningen. Lean beregner den automatisk og justerer m\u00e5let ditt hver uke.<\/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 stoffskiftet ditt<\/h4>\n        <p>Lean viser hver komponent (BMR, NEAT, EAT, TEF, tilpasning) i stedet for \u00e5 skjule alt bak ett enkelt tall. Du ser hvor hver forbrukt 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 ha en logging som varer i 12 m\u00e5neder<\/h4>\n        <p>AI-fotoskanning + kuratert base + strekkode dekker alle bruksomr\u00e5der, fra r\u00e5varen til pizzaen p\u00e5 restaurant. Det er det som utgj\u00f8r forskjellen mellom \u00e5 holde ut og \u00e5 gi opp.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal kan holde for<\/strong>&nbsp;: de som bare vil ha en matdagbok uten spesiell presisjon, eller de som liker det sosiale og fellesskapsaspektet.<\/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; Migrasjon<\/span><\/div>\n  <h2 id=\"migrate\">Bytt fra MyFitnessPal til Lean p\u00e5 5 minutter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Last ned Lean<\/h4><p>App Store eller Play Store. Registrering p\u00e5 30 sekunder.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Ett foto, 5 sekunder. Du f\u00e5r fettprosenten din.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Vekt &amp; h\u00f8yde<\/h4><p>Oppgi vekten og h\u00f8yden din. Det er alt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean beregner<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, tilpasning. Automatisk.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Logg et m\u00e5ltid<\/h4><p>Foto, strekkode eller database. Forst\u00e5 flyten.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Viktig merknad.<\/strong> Lean tilbyr ingen automatisk import av MyFitnessPal-dataene dine. Det er bevisst. MFP-basen er lagt inn manuelt av brukerne, alts\u00e5 st\u00f8yende. Vi foretrekker \u00e5 starte rent, med en kuratert base USDA + OpenFoodFacts, fremfor \u00e5 arve st\u00f8yen.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Last ned Lean og start AI BodyScan n\u00e5. Gratis registrering.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Det Lean l\u00e5ser opp<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean gj\u00f8r, og som MFP aldri vil gj\u00f8re<\/h2>\n  <p>Seks funksjoner som ikke finnes i noen annen forbrukertracker. Alle f\u00f8lger av samme prinsipp&nbsp;: beregne hver TDEE-komponent presist, ikke tiln\u00e6rme den.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Ubegrenset AI BodyScan<\/div><p class=\"fd\">Din reelle fettprosent, m\u00e5lt fra ett enkelt foto, gjentatt hver uke. Det er dataen som endrer hele BMR-beregningen. Ingen annen forbrukerapp tilbyr det.<\/p><\/div><div class=\"fc\">Fettprosent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Ubegrenset AI-fotoskanning av en rett<\/div><p class=\"fd\">Logg restaurantm\u00e5ltidet ditt p\u00e5 2 sekunder. Ingen vekt, ingen manuell inntasting. Game changeren for etterlevelse over 12 m\u00e5neder.<\/p><\/div><div class=\"fc\">Etterlevelse<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabolsk tilpasning<\/div><p class=\"fd\">TDEE-en din justeres uke for uke etter vitenskapelig etablerte tall. Du unng\u00e5r plat\u00e5ene ingen klarer \u00e5 forklare.<\/p><\/div><div class=\"fc\">Tilpasning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Oppdelt TDEE live<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF vist hver for seg, oppdatert i l\u00f8pet av dagen. Ikke lenger et tall frosset klokka 8 om morgenen. Du ser kaloribalansen din direkte.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplett historikk og trender<\/div><p class=\"fd\">F\u00f8lg trendene dine for vekt, fettprosent og fettfri masse over m\u00e5neder. Forst\u00e5 syklusene dine. Se fasene der du gj\u00f8r fremgang og de der du stagnerer.<\/p><\/div><div class=\"fc\">Historikk<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlede sporingsmetoder<\/div><p class=\"fd\">Foto, strekkode, kuratert base. Ingen annen app tilbyr alle tre med en slik presisjon. Du velger metode etter situasjonen.<\/p><\/div><div class=\"fc\">Sporing<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerer appen gratis, tester uten forpliktelse, og bestemmer deretter om verkt\u00f8yet passer m\u00e5let ditt.<\/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 stilte sp\u00f8rsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details><summary>Er Mifflin-St Jeor bedre enn Harris-Benedict&nbsp;?<\/summary><div class=\"ans\">Marginalt. Mifflin-St Jeor (1990) er en oppdatering av Harris-Benedict med et litt mer moderne utvalg. Men den arver samme konseptuelle feil&nbsp;: ingen fettprosent som inndata. Det er bare en ommalt versjon av samme feil. MFP har brukt Mifflin-St Jeor i noen \u00e5r, som er bedre enn Harris-Benedict, men ikke retter det grunnleggende problemet.<\/div><\/details>\n    <details><summary>M\u00e5 man virkelig kjenne fettprosenten sin&nbsp;?<\/summary><div class=\"ans\">Ja. Uten fettprosent kan BMR-en din v\u00e6re 400&nbsp;kcal feil (jf. eksempelet med de to mennene p\u00e5 80&nbsp;kg, den ene med 10&nbsp;%, den andre med 30&nbsp;%). Du vil aldri g\u00e5 seri\u00f8st ned i vekt uten denne dataen. \u00c5 m\u00e5le den hver uke med AI BodyScan tar 5 sekunder.<\/div><\/details>\n    <details><summary>Fungerer aktivitetskoeffisienten ikke i det hele tatt&nbsp;?<\/summary><div class=\"ans\">For et ultragrovt anslag over 6 m\u00e5neder kan den gi en vag tendens. For \u00e5 n\u00e5 et presist m\u00e5l (fettap, ren muskel\u00f8kning) er den utilstrekkelig. Den daglige variasjonen i forbruket er for stor til \u00e5 fanges av en statisk boks.<\/div><\/details>\n    <details><summary>Hva er egentlig metabolsk tilpasning&nbsp;?<\/summary><div class=\"ans\">Det er den spontane nedgangen i kaloriforbruket ditt n\u00e5r du er i langvarig underskudd. Str\u00f8msparingsmodus. For et underskudd p\u00e5 &minus;500&nbsp;kcal\/dag kan TDEE-en din synke 10 til 15&nbsp;% p\u00e5 4 til 6 uker. Hvis en app ikke vet det, stagnerer du uten \u00e5 forst\u00e5 hvorfor.<\/div><\/details>\n    <details><summary>Hvor lang tid tar det \u00e5 se resultater med Lean&nbsp;?<\/summary><div class=\"ans\">Alt avhenger av underskuddet. For et rimelig underskudd p\u00e5 &minus;250 til &minus;500&nbsp;kcal\/dag b\u00f8r du se et tap p\u00e5 0,3 til 0,6&nbsp;kg per uke. Den store forskjellen fra MFP&nbsp;: med Lean er TDEE-en din kjent presist, s\u00e5 underskuddet ditt er reelt, uten statistiske overraskelser.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Konklusjon<\/span><\/div>\n  <h2 id=\"conclu\">1919 mot 2025<\/h2>\n  <p>Det er ikke MyFitnessPal mot Lean i markedsf\u00f8ring. Det er 1919 mot 2025 i vitenskap.<\/p>\n  <p>MFP bruker en formel fra slutten av f\u00f8rste verdenskrig, pluss en nesten tilfeldig aktivitetskoeffisient, og ignorerer den metabolske tilpasningen. Kombinasjonen av de tre gj\u00f8r ethvert presist anslag umulig. Det er matematikk.<\/p>\n  <p>Lean ble bygget for \u00e5 gj\u00f8re n\u00f8yaktig det motsatte&nbsp;: BMR basert p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">reelle fettprosent<\/a> (m\u00e5lt med AI BodyScan) via en patentert propriet\u00e6r modell, <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT per reelle skritt<\/a>, EAT per idrett og MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF per makroer<\/a>, automatisk metabolsk tilpasning. Hver komponent beregnet presist, uten magisk koeffisient.<\/p>\n  <p>Hvis du har pr\u00f8vd MFP seri\u00f8st og ikke fikk resultatene du h\u00e5pet p\u00e5, er problemet ikke deg. Problemet ligger under panseret. Bytt app.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Nedlasting<\/div>\n  <h3>Lean kan lastes ned gratis<\/h3>\n  <p>iOS og Android. AI BodyScan fungerer med ett enkelt foto. Ingen hudfoldsm\u00e5ler, ingen impedansvekt, ingen DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne lenker<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">Gratis TDEE-kalkulator p\u00e5 nett<\/a> &middot; nettversjon, uten registrering, samme logikk som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">Forst\u00e5 TDEE i detalj (BMR, NEAT, EAT, TEF, tilpasning)<\/a> &middot; dyptg\u00e5ende vitenskapelig artikkel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/\">Slik teller du kaloriene dine riktig<\/a> &middot; praktisk guide for nybegynnere.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT&nbsp;: forbruk per skritt og aktivitet utenom trening<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF&nbsp;: ford\u00f8yelsen forbrenner 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>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikkel publisert 21. mai 2026. Oppdateres jevnlig med tilbakemeldinger fra brukere og nye relevante studier. Lean er tilgjengelig p\u00e5 iOS og Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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}\n})();\n<\/script><\/div>\n<script data-wpmeteor-nooptimize=\"true\">\n(function shrinkAnnotationsOnMobile(){\n  if (typeof window.Chart === 'undefined') { return setTimeout(shrinkAnnotationsOnMobile, 100); }\n  var isMobile = window.matchMedia && window.matchMedia('(max-width:540px)').matches;\n  if (!isMobile) return;\n  function apply(){\n    ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n      var c = window.Chart.getChart(id);\n      if (!c) return;\n      var anns = c.options && c.options.plugins && c.options.plugins.annotation && c.options.plugins.annotation.annotations;\n      if (!anns) return;\n      Object.keys(anns).forEach(function(k){\n        var a = anns[k];\n        if (a.type !== 'label' || !a.font) return;\n        \/\/ Numeric labels are small text. 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Lean setter TDEE-en din sammen p\u00e5 nytt kontinuerlig.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>MyFitnessPal calcule votre TDEE avec une formule de 1919, sans bodyfat ni adaptation m\u00e9tabolique. Lean fait tout ce que MFP ne sait pas faire. Comparatif honn\u00eate.<\/p>","protected":false},"author":1,"featured_media":1242,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs MyFitnessPal: hvorfor MFP beregner forbruket ditt feil<\/title>\n<meta name=\"description\" content=\"Hvorfor MyFitnessPal beregner kaloriforbruket ditt feil: BMR p\u00e5 formel fra 1919, ingen metabolsk tilpasning, faste NEAT\/EAT. Detaljert sammenligning Lean vs MFP.\" \/>\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\/no\/lean-vs-myfitnesspal\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs MyFitnessPal: hvorfor MFP beregner forbruket ditt feil\" \/>\n<meta property=\"og:description\" content=\"Hvorfor MyFitnessPal beregner kaloriforbruket ditt feil: BMR p\u00e5 formel fra 1919, ingen metabolsk tilpasning, faste NEAT\/EAT. 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