{"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\/sv\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal: TDEE-formeln som f\u00f6r\u00e4ndrar allt"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1241 #lvm-shell .wrap,\nbody.postid-1241 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1241 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1241 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1241 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1241 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1241 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"MFP\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#5B7FFF!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1241 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1241 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1241 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1241 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1241 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1241 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1241 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1241 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1241 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1241 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/sv\/\" 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\/sv\/tdee-calculator\/\">TDEE-kalkylator<\/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\/sv\/\">Hem<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">J\u00e4mf\u00f6relse &middot; Nutrition &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">TDEE-formeln som f\u00f6r\u00e4ndrar allt. 1919 mot 2025, i vetenskap.<\/span>\n  <\/h1>\n  <p class=\"dek\">Varf\u00f6r MyFitnessPal har fel f\u00f6r 80&nbsp;% av anv\u00e4ndarna, och alternativet som g\u00f6r det MFP inte 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; L\u00e4stid 12&nbsp;min &middot; Uppdaterad 21 maj 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis nedladdning<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal ber\u00e4knar din TDEE med en formel fr\u00e5n 1919 (Harris-Benedict) utan fettprocent, plus en n\u00e4stan slumpm\u00e4ssig aktivitetskoefficient, och ignorerar den metabola anpassningen. Ditt m\u00e5l kan vara 500 till 800&nbsp;kcal fel. Lean r\u00e4knar om varje komponent exakt, utan koefficient att v\u00e4lja.\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>f\u00f6r att utforska 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=\"Tillbaka\">&#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=\"F\u00f6rbruknings-fliken\"><\/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\">\u00d6versikt<\/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\">Snabbt svar<\/div>\n    <p>MyFitnessPal ber\u00e4knar din TDEE med en formel fr\u00e5n 1919 (Harris-Benedict) utan fettprocent, plus en n\u00e4stan slumpm\u00e4ssig aktivitetskoefficient, och ignorerar den metabola anpassningen. Ditt kalorim\u00e5l kan vara 500 till 800&nbsp;kcal fel. Lean r\u00e4knar om varje komponent (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi f\u00f6rbrukad i vila. Hos Lean ber\u00e4knad p\u00e5 den verkliga fettfria massan via AI BodyScan.<\/span><\/span> p\u00e5 verklig fettprocent, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. F\u00f6rbrukning kopplad till steg och vardagsaktiviteter utanf\u00f6r tr\u00e4ning.<\/span><\/span> per steg, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. F\u00f6rbrukning kopplad till dina tr\u00e4ningspass, ber\u00e4knad via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi som g\u00e5r \u00e5t till matsm\u00e4ltningen. Beror p\u00e5 intagna makron.<\/span><\/span> per makron, automatisk metabol anpassning) utan aktivitetskoefficient att v\u00e4lja.<\/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; L\u00e4get<\/span><\/div>\n  <h2 id=\"constat\">Varf\u00f6r 80&nbsp;% av MFP-anv\u00e4ndarna inte g\u00e5r ner i vikt trots ett \u00ab&nbsp;underskott&nbsp;\u00bb<\/h2>\n  <p>L\u00e4ser du det h\u00e4r har du f\u00f6rmodligen varit med om det. Du laddade ner MyFitnessPal, fyllde i din profil, och appen sa \u00ab&nbsp;din <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Formeln BMR + NEAT + EAT + TEF, plus den metabola anpassningen som modulerar BMR.<\/span><\/span> \u00e4r 2&nbsp;500&nbsp;kcal per dag, \u00e4t 2&nbsp;250&nbsp;kcal f\u00f6r att g\u00e5 ner i vikt&nbsp;\u00bb. Du gjorde det. Religi\u00f6st. Du v\u00e4gde din mat. Du gick till och med \u00f6ver till Premium. Och i slutet av m\u00e5naden v\u00e4ger du lika mycket. Eller lite mer.<\/p>\n  <p>Du t\u00e4nker&nbsp;: \u00ab&nbsp;jag m\u00e5ste ha loggat fel, jag m\u00e5ste ha underskattat mina kalorier&nbsp;\u00bb. Du drar \u00e5t. Du g\u00e5r ner till 2&nbsp;000&nbsp;kcal. Igen, ingenting.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">av MFP-anv\u00e4ndarna stagnerar trots ett teoretiskt underskott. Problemet \u00e4r inte deras viljestyrka. Det \u00e4r ber\u00e4kningen av deras TDEE.<\/div>\n  <\/div>\n\n  <p>T\u00e4nk dig att MFP visar dig en TDEE p\u00e5 2&nbsp;500&nbsp;kcal. Du \u00e4ter 2&nbsp;250 (teoretiskt underskott p\u00e5 250&nbsp;kcal). Men i verkligheten \u00e4r din <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">TDEE 2&nbsp;200&nbsp;kcal<\/a>. D\u00e5 finns det ingen chans, jag s\u00e4ger <strong>ingen chans<\/strong>, att du g\u00e5r ner i vikt. Du ligger p\u00e5 ett \u00f6verskott p\u00e5 50&nbsp;kcal utan att veta om det.<\/p>\n  <p>D\u00e4rf\u00f6r \u00e4r det avg\u00f6rande, extremt viktigt, att <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/comment-compter-ses-calories\/\">ber\u00e4kna din f\u00f6rbrukning perfekt<\/a>. Och det \u00e4r precis d\u00e4r MyFitnessPal misslyckas.<\/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-formeln fr\u00e5n 1919<\/h2>\n  <p>F\u00f6r att ber\u00e4kna din basalmetabolism (BMR, energin du f\u00f6rbr\u00e4nner i vila) anv\u00e4nder MyFitnessPal Harris-Benedict-ekvationen. Eller dess direkta avkomling, Mifflin-St Jeor. Beroende p\u00e5 appversion.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1 &middot; Man 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>Uppskattad BMR.<\/strong> Leans patenterade egenutvecklade modell tar h\u00e4nsyn till den fettfria massan. Harris-Benedict (MFP) g\u00f6r det inte. Skillnad p\u00e5 500&nbsp;kcal, motsvarande en hel lunch.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict \u00e4r fr\u00e5n 1919. Vi \u00e4r i slutet av f\u00f6rsta v\u00e4rldskriget. Tv\u00e5 forskare tar 239 personer, i en enda stad (Boston), l\u00e4gger dem i en s\u00e4ng med en mask f\u00f6r att ber\u00e4kna syref\u00f6rbrukningen, och f\u00e5r fram en formel som beror p\u00e5 vikt, l\u00e4ngd, \u00e5lder och k\u00f6n.<\/p>\n  <p>F\u00f6r sin tid var det nyskapande. \u00c5r 2025 \u00e4r det oanv\u00e4ndbart. Tre sk\u00e4l&nbsp;:<\/p>\n  <ol>\n    <li><strong>Urvalet \u00e4r l\u00f6jligt<\/strong>&nbsp;: 239 personer, fr\u00e5n en enda amerikansk stad, 1918. I en tid med betydligt mindre \u00f6vervikt \u00e4n idag, d\u00e5 hormonniv\u00e5erna och den genomsnittliga kroppssammans\u00e4ttningen inte hade n\u00e5got gemensamt med v\u00e5ra.<\/li>\n    <li><strong>M\u00e4tinstrumentet var oprecist<\/strong>&nbsp;: d\u00e5tidens indirekta kalorimetri hade en enorm felmarginal. Modernare studier har visat att Harris-Benedict systematiskt \u00f6verskattar basalmetabolismen.<\/li>\n    <li><strong>Det konceptuella felet<\/strong>&nbsp;: formeln tar bara h\u00e4nsyn till vikten. Inte fettprocenten. Inte den fettfria massan.<\/li>\n  <\/ol>\n  <p>Men sedan 1980-talet vet vi att <strong>fettmassan f\u00f6rbrukar v\u00e4ldigt lite energi<\/strong> j\u00e4mf\u00f6rt med resten av kroppen. Levern, hj\u00e4rnan, hj\u00e4rtat, njurarna och framf\u00f6r allt musklerna \u00e4r de verkliga f\u00f6rbrukningsposterna. Fettmassan \u00e4r inert. En person med 30&nbsp;% fettprocent f\u00f6rbr\u00e4nner inte alls lika mycket som en person med 10&nbsp;% fettprocent, ens vid samma vikt.<\/p>\n\n  <p>500&nbsp;kcal \u00e4r inte ingenting. Om MFP s\u00e4ger \u00ab&nbsp;din BMR \u00e4r 2&nbsp;500&nbsp;\u00bb och den i verkligheten \u00e4r 2&nbsp;000, \u00e4r allt som f\u00f6ljer fel.<\/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 skillnad mellan tv\u00e5 m\u00e4n p\u00e5 80&nbsp;kg, den ena med 10&nbsp;% fettprocent (BMR 1&nbsp;900), den andra med 30&nbsp;% (BMR 1&nbsp;500). MFP ger dem samma siffra.<\/div>\n  <\/div>\n\n  <p>Delslutsats&nbsp;: om en app ber\u00e4knar din BMR enbart utifr\u00e5n din vikt, l\u00e4ngd, \u00e5lder och k\u00f6n, fly. Det \u00e4r matematiskt om\u00f6jligt att f\u00e5 ett tillf\u00f6rlitligt 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;n\u00e4stan slumpm\u00e4ssiga&nbsp;\u00bb aktivitetskoefficienten<\/h2>\n  <p>H\u00e4r blir det allvarligt. Och det \u00e4r f\u00f6rmodligen punkten ingen har f\u00f6rklarat f\u00f6r dig.<\/p>\n  <p>N\u00e4r MFP har ber\u00e4knat din BMR (felaktigt) m\u00e5ste den uppskatta din totala TDEE. <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">TDEE \u00e4r BMR + allt det andra<\/a>&nbsp;: f\u00f6rbrukningen kopplad till steg, vardagsaktiviteter, tr\u00e4ning och matsm\u00e4ltning. Allt som inte \u00e4r basalmetabolism.<\/p>\n  <p>Hur g\u00f6r MyFitnessPal det&nbsp;? Den ber dig kryssa i en ruta&nbsp;:<\/p>\n  <ul><li>Stillasittande<\/li><li>L\u00e4tt aktiv<\/li><li>Aktiv<\/li><li>Mycket aktiv<\/li><\/ul>\n  <p>Och beroende p\u00e5 ditt val multiplicerar den din BMR med en koefficient (typiskt 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). Det \u00e4r allt. Det \u00e4r allt som ligger bakom ditt dagliga kalorim\u00e5l. En ruta som DU kryssade i en enda g\u00e5ng vid registreringen. Ofta f\u00f6r sex m\u00e5nader sedan. Of\u00f6r\u00e4ndrad sedan dess.<\/p>\n  <p>Och h\u00e4r \u00e4r den tysta skandalen&nbsp;: den h\u00e4r approximationen \u00e4r <strong>extremt ofullkomlig<\/strong>. Skillnaden mellan en dag d\u00e5 du sitter klistrad i soffan framf\u00f6r Netflix och en dag d\u00e5 du \u00e5ker till Disneyland med barnen och g\u00e5r 15&nbsp;km, <strong>det \u00e4r \u00f6ver 1&nbsp;000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 verkliga dagar<\/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>Verklig f\u00f6rbrukning<\/strong> uppm\u00e4tt under 7&nbsp;dagar f\u00f6r en Lean-anv\u00e4ndare. Den gr\u00e5 linjen \u00e4r det MFP visade (2&nbsp;400&nbsp;kcal fast). De rosa noteringarna visar varf\u00f6r varje dag r\u00f6r sig.<\/p>\n  <\/div>\n\n  <p>Du kan inte reducera din aktivitetsniv\u00e5 till en statisk ruta. Du \u00e4r kanske aktiv de veckor du jobbar lite hemifr\u00e5n, och stillasittande de veckor du inte l\u00e4mnar kontoret. Du \u00e4r kanske aktiv p\u00e5 sommaren och stillasittande p\u00e5 vintern. Du \u00e4r kanske aktiv tisdag till fredag och stillasittande p\u00e5 helgen.<\/p>\n  <p>Vilken ruta ska du kryssa i den h\u00e4r veckan&nbsp;? Sanningen \u00e4r att ingen av de 4 kommer att vara r\u00e4tt. Och d\u00e4rmed ger MFP dig en TDEE som systematiskt \u00e4r frikopplad fr\u00e5n verkligheten.<\/p>\n  <p>Det \u00e4r n\u00e4stan slumpm\u00e4ssigt. Det \u00e4r till och med lite b\u00e4ttre \u00e4n en lottdragning, men inte mycket.<\/p>\n  <p>Nyckelpo\u00e4ngen i den h\u00e4r artikeln&nbsp;: \u00e4ven om MyFitnessPal hade en perfekt BMR-formel (vilket den inte har) skulle aktivitetskoefficienten r\u00e4cka f\u00f6r att f\u00f6rst\u00f6ra allt. Du kan inte uppskatta en <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT<\/a>, en EAT och en <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF<\/a> med en enda multiplikator applicerad p\u00e5 BMR. Det \u00e4r begreppsm\u00e4ssigt absurt.<\/p>\n  <p>Du har f\u00f6rst\u00e5tt&nbsp;: <strong>en helt felaktig BMR-formel, plus en approximation av de andra f\u00f6rbrukningsposterna, ger ingen chans att n\u00e5 dina m\u00e5l.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Se din verkliga TDEE, uppdelad i BMR + NEAT + EAT + TEF. Gratis nedladdning.<\/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 ignorerade metabola anpassningen<\/h2>\n  <p>Det h\u00e4r \u00e4r slutbossen. Det finaste begreppet. Och f\u00f6rmodligen det viktigaste.<\/p>\n  <p>N\u00e4r du \u00e4r i kaloriunderskott f\u00f6rst\u00e5r din kropp att den f\u00e5r mindre energi \u00e4n f\u00f6rut. F\u00f6r att skydda sig g\u00e5r den in i sparl\u00e4ge. Precis som energisparl\u00e4get p\u00e5 din iPhone&nbsp;: allt forts\u00e4tter att fungera, men med mindre energi. Din BMR sjunker. Din NEAT sjunker. Din EAT sjunker.<\/p>\n  <p>Det \u00e4r det som kallas metabol anpassning. H\u00e4r \u00e4r siffrorna&nbsp;:<\/p>\n  <ul>\n    <li>Underskott p\u00e5 &minus;250&nbsp;kcal per dag, under 2 till 8 veckor&nbsp;: metabol anpassning p\u00e5 <strong>5 till 10&nbsp;%<\/strong><\/li>\n    <li>Underskott p\u00e5 &minus;500&nbsp;kcal per dag&nbsp;: <strong>10 till 15&nbsp;%<\/strong><\/li>\n    <li>Underskott p\u00e5 &minus;750&nbsp;kcal per dag&nbsp;: <strong>15 till 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>Och eftersom NEAT, EAT och TEF alla beror p\u00e5 BMR p\u00e5verkas n\u00e4stan hela din TDEE.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 veckor i underskott<\/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>Verklig TDEE<\/strong> under 8 veckor i underskott p\u00e5 &minus;500&nbsp;kcal\/dag. Den rosa kurvan sjunker. Den gr\u00e5 MFP-linjen f\u00f6rblir platt. I vecka 6 \u00e4r du redan p\u00e5 underh\u00e5ll. Utan att ha \u00e4ndrat n\u00e5got.<\/p>\n  <\/div>\n\n  <p>Konkret&nbsp;: om du hade planerat ett underskott p\u00e5 10&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;500 (allts\u00e5 \u00e4ta 2&nbsp;250 per dag), och din kropp anpassar sig med 10&nbsp;%, \u00e4r din verkliga TDEE nu 2&nbsp;250. Du \u00e4r p\u00e5 underh\u00e5ll. Du g\u00e5r inte ner l\u00e4ngre.<\/p>\n  <p>F\u00e4llan \u00e4r att det \u00e4r smygande. I b\u00f6rjan g\u00e5r du ner. Du \u00e4r n\u00f6jd. Du forts\u00e4tter. Men vecka efter vecka ackumuleras anpassningen. Och vid n\u00e5got tillf\u00e4lle, utan att ha \u00e4ndrat n\u00e5got i din loggning, <strong>slutar du g\u00e5 ner<\/strong>.<\/p>\n  <p>95&nbsp;% av alla g\u00e5r igenom det h\u00e4r utan att f\u00f6rst\u00e5 det. De skyller p\u00e5 sin viljestyrka. De skyller p\u00e5 sin \u00ab&nbsp;trasiga \u00e4mnesoms\u00e4ttning&nbsp;\u00bb. De ger sig p\u00e5 h\u00e5rdare dieter, vilket f\u00f6rv\u00e4rrar anpassningen. Spiral.<\/p>\n  <p>MyFitnessPal ber\u00e4knar aldrig den metabola anpassningen. Den ger dig ett fast och statiskt m\u00e5l. N\u00e4r du stagnerar efter 6 veckor har appen ingen aning om varf\u00f6r.<\/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\u00f6sningen<\/span><\/div>\n  <h2 id=\"solution\">Hur Lean l\u00f6ser vart och ett av de 3 problemen<\/h2>\n  <p>Lean byggdes inte som en f\u00f6rb\u00e4ttrad klon av MyFitnessPal. Lean byggdes som appen vi hade velat ha f\u00f6r att seri\u00f6st f\u00f6lja teorin om den kompletta TDEE:n. Konkret, s\u00e5 h\u00e4r behandlar Lean varje 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\">Steg 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\">Steg 2<strong>Omr\u00e4knad BMR<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; BMR p\u00e5 verklig fettprocent<\/div>\n      <h3>Patenterad egenutvecklad modell, baserad p\u00e5 fettfri massa<\/h3>\n      <p>Lean anv\u00e4nder en <strong>patenterad egenutvecklad modell<\/strong> som beror direkt p\u00e5 den fettfria massan, inte p\u00e5 r\u00e5vikten. F\u00f6r det beh\u00f6ver appen din fettprocent. Och d\u00e4r angriper vi det historiskt jobbigaste&nbsp;: hur m\u00e4ter man sin fettprocent utan att betala 100&nbsp;\u20ac i veckan f\u00f6r en DEXA-skanning&nbsp;?<\/p>\n      <p>Leans svar&nbsp;: <strong>AI BodyScan<\/strong>. Du tar ett foto, appen k\u00f6r det genom en modell tr\u00e4nad p\u00e5 en massiv bank av DEXA-skanningar, och du f\u00e5r din uppskattade fettprocent p\u00e5 n\u00e5gra sekunder. Du kan g\u00f6ra om det varje vecka. BMR r\u00e4knas om automatiskt.<\/p>\n      <p>Adj\u00f6 kaliper (oprecis), adj\u00f6 impedansv\u00e5g (\u00e5rhundradets bluff), adj\u00f6 DEXA-skanning (perfekt men otillg\u00e4nglig). 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 aktivitetskoefficient<\/div>\n      <h3>NEAT, EAT, TEF ber\u00e4knade separat<\/h3>\n      <p><strong>NEAT.<\/strong> Lean h\u00e4mtar ditt verkliga antal steg via HealthKit (iOS) eller Google Fit (Android). Ingen egenrapportering. Inget \u00ab&nbsp;jag g\u00e5r nog tillr\u00e4ckligt tror jag&nbsp;\u00bb. Dina steg, uppm\u00e4tta av de mycket exakta accelerometrarna i din smartphone. <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT ber\u00e4knas genom att korsa dessa steg med din BMR<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> F\u00f6r varje tr\u00e4ningspass v\u00e4ljer du sporten i en lista (styrketr\u00e4ning, l\u00f6pning, tennis, simning osv.), och Lean anv\u00e4nder MET-v\u00e4rdet (Metabolic Equivalent Task) f\u00f6r den sporten f\u00f6r att ber\u00e4kna den verkliga f\u00f6rbrukningen. Du anger den <strong>effektiv<\/strong> tr\u00e4ningstiden (inte den totala tiden med pauser&nbsp;: felet som 100&nbsp;% av smartklockorna g\u00f6r). Ett styrkepass p\u00e5 1&nbsp;050&nbsp;kcal enligt din Apple Watch&nbsp;? Verkligheten \u00e4r snarare 200&nbsp;kcal. Lean v\u00e4grar den avdriften.<\/p>\n      <p><strong>TEF.<\/strong> Matsm\u00e4ltningen f\u00f6rbr\u00e4nner energi, och det \u00e4r inte ett fast schablonbelopp p\u00e5 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">Proteiner kostar 20 till 30&nbsp;%<\/a> av sina kalorier i matsm\u00e4ltningen. Kolhydrater 5 till 10&nbsp;%. Fett 1 till 3&nbsp;%. Lean ber\u00e4knar din verkliga TEF utifr\u00e5n dina makron. P\u00e5 3&nbsp;000&nbsp;kcal\/dag kan det utg\u00f6ra 100&nbsp;kcal i skillnad beroende p\u00e5 kostens sammans\u00e4ttning.<\/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 metabol anpassning<\/div>\n      <h3>En v\u00e4rldsnyhet i en konsumentapp<\/h3>\n      <p>Lean \u00e4r, s\u00e5vitt vi vet, den f\u00f6rsta appen som ber\u00e4knar den metabola anpassningen automatiskt. Allteftersom dina veckor i underskott g\u00e5r justerar appen din TDEE ned\u00e5t enligt vetenskapligt fastst\u00e4llda siffror. Du beh\u00f6ver inte g\u00f6ra n\u00e5got. Du ser bara ditt kalorim\u00e5l justeras f\u00f6rsiktigt, utan \u00f6verraskningar.<\/p>\n      <p>N\u00e4r du n\u00e5r 10 till 15&nbsp;% anpassning kan appen r\u00e5da dig att \u00e5terg\u00e5 till underh\u00e5ll f\u00f6r att nollst\u00e4lla din BMR innan du g\u00e5r in i underskott igen. Cykel, plat\u00e5, cykel. Som i de riktiga protokollen.<\/p>\n      <p>Ingen aktivitetskoefficient att v\u00e4lja. Ingen statisk ruta. Bara varje komponent ber\u00e4knad exakt, vecka f\u00f6r vecka.<\/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\">Metod<strong>Metabol anpassning<\/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; J\u00e4mf\u00f6relsetabell<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, kriterium f\u00f6r kriterium<\/h2>\n  <p>\u00c4rlig l\u00e4sning av styrkor och svagheter hos varje app. Inget kriterium g\u00e4ller 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> Patenterad egenutvecklad modell (fettfri massa)<\/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 (bara vikt)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tar h\u00e4nsyn till fettprocent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e4tning av fettprocent i appen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (steg, aktivitet utanf\u00f6r tr\u00e4ning)<\/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> Ber\u00e4knad p\u00e5 verkliga steg<\/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> Samlad i koefficienten<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (tr\u00e4ningsf\u00f6rbrukning)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Op\u00e5litliga schablonuppskattningar<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (matsm\u00e4ltning)<\/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> Ber\u00e4knad utifr\u00e5n makron<\/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> Ej ber\u00e4knad<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabol anpassning<\/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, vecka f\u00f6r vecka<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoefficient att v\u00e4lja<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nej, ber\u00e4knad p\u00e5 verkliga 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 statiska rutor<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoskanning av en matr\u00e4tt<\/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, obegr\u00e4nsat<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Begr\u00e4nsad<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Streckkodsskanning<\/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\">Livsmedelsdatabas<\/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, kurerad<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Anv\u00e4ndargenererad, upp till 10&nbsp;000 varianter av samma livsmedel<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Rekommendation kaloriunderskott<\/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> Anpassad till den verkliga TDEE:n<\/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 uppskattning<\/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; Loggning<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder f\u00f6r att logga en m\u00e5ltid<\/h2>\n  <p>Att r\u00e4kna kalorier \u00e4r bra. <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/comment-compter-ses-calories\/\">Att g\u00f6ra det i 12 m\u00e5nader \u00e4r n\u00e5got helt annat<\/a>. Princip nr 1, <strong>f\u00f6re vetenskapen, f\u00f6re makrona, f\u00f6re allt annat<\/strong>, \u00e4r f\u00f6ljsamhet. Om loggningsmetoden g\u00e5r dig p\u00e5 nerverna slutar du efter 3 veckor. Lean erbjuder 3 metoder f\u00f6r att logga en 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\">Metod 1<strong>Databas<\/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\">Metod 2<strong>Streckkod<\/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\">Metod 3<strong>AI-fotoskanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>S\u00f6kning i databasen.<\/strong> Kurerad bas, USDA + OpenFoodFacts. Inget brus fr\u00e5n anv\u00e4ndare, ingen \u00ab&nbsp;Grillad kyckling&nbsp;\u00bb inlagd 47 g\u00e5nger av 47 olika anv\u00e4ndare med 47 olika v\u00e4rden.<\/li>\n    <li><strong>Streckkodsskanning.<\/strong> Standard. Du skannar ditt pastapaket, du f\u00e5r makrona.<\/li>\n    <li><strong>AI-fotoskanning av en matr\u00e4tt.<\/strong> Du fotograferar din tallrik, AI:n k\u00e4nner igen livsmedlen, du f\u00e5r kalorier och makron per livsmedel.<\/li>\n  <\/ol>\n  <p>AI-fotoskanningen \u00e4r game changern f\u00f6r f\u00f6ljsamhet. N\u00e4r du \u00e4ter ute, p\u00e5 restaurang, hos v\u00e4nner, \u00e4r det megapraktiskt. Ett foto, du st\u00e4nger appen, du njuter av kv\u00e4llen. Ja, det \u00e4r mindre exakt \u00e4n att v\u00e4ga p\u00e5 grammet med en k\u00f6ksv\u00e5g. Men \u00f6ver 12 m\u00e5nader \u00e4r det det som g\u00f6r skillnaden mellan att h\u00e5lla ut och att ge upp. Och att h\u00e5lla ut \u00e4r det som r\u00e4knas.<\/p>\n  <p>Ut\u00f6ver loggning per m\u00e5ltid visar Lean en <strong>Live-TDEE som uppdateras under dagen<\/strong>. Ju mer du g\u00e5r, desto mer \u00f6kar din f\u00f6rbrukning, desto mer justeras ditt kalorim\u00e5l f\u00f6r dagen. Du ser din kaloribalans direkt. Det \u00e4r mer motiverande \u00e4n en siffra fryst klockan 8 p\u00e5 morgonen.<\/p>\n  <p>Och ovanp\u00e5 allt detta finns <strong>Progressionspyramid<\/strong>. Det \u00e4r en sk\u00e4rm i appen som rangordnar det som r\u00e4knas&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leans Progressionspyramid\">\n    <div class=\"level l1\"><span>F\u00f6ljsamhet<\/span><span class=\"k\">Grund<\/span><\/div>\n    <div class=\"level l2\"><span>Kalorim\u00e5l<\/span><span class=\"k\">V\u00e5ning 2<\/span><\/div>\n    <div class=\"level l3\"><span>Steg \/ NEAT<\/span><span class=\"k\">V\u00e5ning 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e4rings\u00e4mnen<\/span><span class=\"k\">Topp<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Hoppa inte \u00f6ver steg. Om du inte \u00e4r regelbunden i loggningen \u00e4r det meningsl\u00f6st att optimera makrona p\u00e5 procenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"mfp-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c4rlighet<\/span><\/div>\n  <h2 id=\"mfp-better\">Det MyFitnessPal g\u00f6r b\u00e4ttre<\/h2>\n  <p>Lean \u00e4r inte perfekt, MFP har n\u00e5gra f\u00f6rdelar man m\u00e5ste erk\u00e4nna. \u00c4rlig l\u00e4sning, kriterium f\u00f6r kriterium, p\u00e5 de axlar d\u00e4r MFP fortfarande 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\">Axel<\/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\">K\u00e4nnedom &amp; guider online<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Databasens storlek<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Community \/ socialt fl\u00f6de<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Integrationer med tredjepartsappar<\/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>\u00c4rlig l\u00e4sning.<\/strong> P\u00e5 k\u00e4nnedom och socialt fl\u00f6de ligger MFP fortfarande f\u00f6re. P\u00e5 livsmedelsdatabasens r\u00e5a storlek har MFP fler poster (men de 14 miljoner posterna \u00e4r anv\u00e4ndargenererade och brusiga, upp till 10&nbsp;000 varianter av samma livsmedel). P\u00e5 tredjepartsintegrationer har MFP ett bredare ekosystem. Lean integreras med HealthKit och Google Fit, vilket t\u00e4cker 95&nbsp;% av fallen.<\/p>\n  <p>Kort sagt, om allt du vill ha \u00e4r en grov matdagbok utan exakt m\u00e5l r\u00e4cker MFP gott och v\u00e4l. Om du vill f\u00f6rlora fett metodiskt med en <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">exakt TDEE<\/a>, r\u00e4cker MFP inte, och det \u00e4r det som just visats i de 3 f\u00f6reg\u00e5ende avsnitten.<\/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; F\u00f6r vem<\/span><\/div>\n  <h2 id=\"forwho\">Vem Lean \u00e4r gjord f\u00f6r<\/h2>\n  <p>4 profiler. K\u00e4nner du igen dig i minst en \u00e4r Lean f\u00f6rmodligen gjord f\u00f6r dig.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har provat MFP seri\u00f6st och inte g\u00e5tt ner<\/h4>\n        <p>Du har f\u00f6ljt ett \u00e4rligt underskott i veckor, utan resultat. Orsaken \u00e4r med st\u00f6rsta sannolikhet den felaktiga TDEE:n. Lean r\u00e4ttar det vid roten via BMR p\u00e5 verklig fettprocent.<\/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 stagnerar efter flera veckors deff<\/h4>\n        <p>Plat\u00e5 som drar ut p\u00e5 tiden efter 4 till 8 veckor. Det \u00e4r den metabola anpassningen. Lean ber\u00e4knar den automatiskt och justerar ditt m\u00e5l varje vecka.<\/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 vill f\u00f6rst\u00e5 din \u00e4mnesoms\u00e4ttning<\/h4>\n        <p>Lean visar varje komponent (BMR, NEAT, EAT, TEF, anpassning) i st\u00e4llet f\u00f6r att g\u00f6mma allt bakom en enda siffra. Du ser var varje f\u00f6rbrukad kcal kommer ifr\u00e5n.<\/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 vill ha en loggning som h\u00e5ller i 12 m\u00e5nader<\/h4>\n        <p>AI-fotoskanning + kurerad bas + streckkod t\u00e4cker alla anv\u00e4ndningsfall, fr\u00e5n r\u00e5varan till pizzan p\u00e5 restaurang. Det \u00e4r det som g\u00f6r skillnaden mellan att h\u00e5lla ut och att ge upp.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal kan r\u00e4cka f\u00f6r<\/strong>&nbsp;: de som bara vill ha en matdagbok utan s\u00e4rskild precision, eller de som gillar det sociala och communityn.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migration<\/span><\/div>\n  <h2 id=\"migrate\">Byt fr\u00e5n MyFitnessPal till Lean p\u00e5 5 minuter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Ladda ner 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 din fettprocent.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Vikt &amp; l\u00e4ngd<\/h4><p>Ange din vikt och din l\u00e4ngd. Det \u00e4r allt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean ber\u00e4knar<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, anpassning. Automatiskt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Logga en m\u00e5ltid<\/h4><p>Foto, streckkod eller databas. F\u00f6rst\u00e5 fl\u00f6det.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Viktig notering.<\/strong> Lean erbjuder ingen automatisk import av dina MyFitnessPal-data. Det \u00e4r avsiktligt. MFP-basen \u00e4r inlagd f\u00f6r hand av anv\u00e4ndarna, allts\u00e5 brusig. Vi f\u00f6redrar att b\u00f6rja om rent, med en kurerad bas USDA + OpenFoodFacts, framf\u00f6r att \u00e4rva bruset.<\/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\">Ladda ner Lean och b\u00f6rja med AI BodyScan nu. 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 upp<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean g\u00f6r, och som MFP aldrig kommer att g\u00f6ra<\/h2>\n  <p>Sex funktioner som inte finns i n\u00e5gon annan konsumenttracker. Alla f\u00f6ljer av samma princip&nbsp;: ber\u00e4kna varje TDEE-komponent exakt, inte approximera den.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Obegr\u00e4nsad AI BodyScan<\/div><p class=\"fd\">Din verkliga fettprocent, m\u00e4tt fr\u00e5n ett enda foto, upprepad varje vecka. Det \u00e4r datan som f\u00f6r\u00e4ndrar hela BMR-ber\u00e4kningen. Ingen annan konsumentapp erbjuder det.<\/p><\/div><div class=\"fc\">Fettprocent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Obegr\u00e4nsad AI-fotoskanning av en matr\u00e4tt<\/div><p class=\"fd\">Logga din restaurangm\u00e5ltid p\u00e5 2 sekunder. Ingen v\u00e5g, ingen manuell inmatning. Game changern f\u00f6r f\u00f6ljsamhet \u00f6ver 12 m\u00e5nader.<\/p><\/div><div class=\"fc\">F\u00f6ljsamhet<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabol anpassning<\/div><p class=\"fd\">Din TDEE justeras vecka f\u00f6r vecka enligt vetenskapligt fastst\u00e4llda siffror. Du undviker plat\u00e5erna som ingen kan f\u00f6rklara.<\/p><\/div><div class=\"fc\">Anpassning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Uppdelad TDEE live<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF visade var f\u00f6r sig, uppdaterade under dagen. Inte l\u00e4ngre en siffra fryst klockan 8 p\u00e5 morgonen. Du ser din kaloribalans direkt.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplett historik och trender<\/div><p class=\"fd\">F\u00f6lj dina trender f\u00f6r vikt, fettprocent och fettfri massa \u00f6ver m\u00e5nader. F\u00f6rst\u00e5 dina cykler. Se faserna d\u00e4r du g\u00f6r framsteg och de d\u00e4r du stagnerar.<\/p><\/div><div class=\"fc\">Historik<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlade loggningsmetoder<\/div><p class=\"fd\">Foto, streckkod, kurerad bas. Ingen annan app erbjuder alla tre med s\u00e5dan precision. Du v\u00e4ljer metod efter situationen.<\/p><\/div><div class=\"fc\">Loggning<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerar appen gratis, testar utan f\u00f6rbindelse och best\u00e4mmer sedan om verktyget passar ditt m\u00e5l.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Vanliga fr\u00e5gor<\/h2>\n  <div class=\"faq\">\n    <details><summary>\u00c4r Mifflin-St Jeor b\u00e4ttre \u00e4n Harris-Benedict&nbsp;?<\/summary><div class=\"ans\">Marginellt. Mifflin-St Jeor (1990) \u00e4r en uppdatering av Harris-Benedict med ett n\u00e5got modernare urval. Men den \u00e4rver samma konceptuella fel&nbsp;: ingen fettprocent som indata. Det \u00e4r bara en omm\u00e5lad version av samma fel. MFP har anv\u00e4nt Mifflin-St Jeor i n\u00e5gra \u00e5r, vilket \u00e4r b\u00e4ttre \u00e4n Harris-Benedict, men inte r\u00e4ttar det grundl\u00e4ggande problemet.<\/div><\/details>\n    <details><summary>M\u00e5ste man verkligen k\u00e4nna till sin fettprocent&nbsp;?<\/summary><div class=\"ans\">Ja. Utan fettprocent kan din BMR vara 400&nbsp;kcal fel (jfr exemplet med de tv\u00e5 m\u00e4nnen p\u00e5 80&nbsp;kg, den ena med 10&nbsp;%, den andra med 30&nbsp;%). Du kommer aldrig att g\u00e5 ner i vikt p\u00e5 allvar utan den datan. Att m\u00e4ta den varje vecka med AI BodyScan tar 5 sekunder.<\/div><\/details>\n    <details><summary>Fungerar aktivitetskoefficienten inte alls&nbsp;?<\/summary><div class=\"ans\">F\u00f6r en ultragrov uppskattning \u00f6ver 6 m\u00e5nader kan den ge en vag tendens. F\u00f6r att n\u00e5 ett exakt m\u00e5l (fettf\u00f6rlust, ren muskel\u00f6kning) \u00e4r den otillr\u00e4cklig. Den dagliga variationen i f\u00f6rbrukningen \u00e4r f\u00f6r stor f\u00f6r att f\u00e5ngas av en statisk ruta.<\/div><\/details>\n    <details><summary>Vad \u00e4r metabol anpassning egentligen&nbsp;?<\/summary><div class=\"ans\">Det \u00e4r den spontana s\u00e4nkningen av din kalorif\u00f6rbrukning n\u00e4r du \u00e4r i l\u00e5ngvarigt underskott. Energisparl\u00e4ge. Vid ett underskott p\u00e5 &minus;500&nbsp;kcal\/dag kan din TDEE sjunka 10 till 15&nbsp;% p\u00e5 4 till 6 veckor. Om en app inte vet det stagnerar du utan att f\u00f6rst\u00e5 varf\u00f6r.<\/div><\/details>\n    <details><summary>Hur l\u00e5ng tid tar det att se resultat med Lean&nbsp;?<\/summary><div class=\"ans\">Allt beror p\u00e5 underskottet. F\u00f6r ett rimligt underskott p\u00e5 &minus;250 till &minus;500&nbsp;kcal\/dag b\u00f6r du se en f\u00f6rlust p\u00e5 0,3 till 0,6&nbsp;kg per vecka. Den stora skillnaden mot MFP&nbsp;: med Lean \u00e4r din TDEE k\u00e4nd exakt, s\u00e5 ditt underskott till\u00e4mpas verkligen, utan statistiska \u00f6verraskningar.<\/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; Slutsats<\/span><\/div>\n  <h2 id=\"conclu\">1919 mot 2025<\/h2>\n  <p>Det \u00e4r inte MyFitnessPal mot Lean i marknadsf\u00f6ring. Det \u00e4r 1919 mot 2025 i vetenskap.<\/p>\n  <p>MFP anv\u00e4nder en formel fr\u00e5n slutet av f\u00f6rsta v\u00e4rldskriget, plus en n\u00e4stan slumpm\u00e4ssig aktivitetskoefficient, och ignorerar den metabola anpassningen. Kombinationen av de tre g\u00f6r varje exakt uppskattning om\u00f6jlig. Det \u00e4r matematik.<\/p>\n  <p>Lean byggdes f\u00f6r att g\u00f6ra precis tv\u00e4rtom&nbsp;: BMR baserad p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">verkliga fettprocent<\/a> (m\u00e4tt med AI BodyScan) via en patenterad egenutvecklad modell, <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT per verkliga steg<\/a>, EAT per sport och MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF per makron<\/a>, automatisk metabol anpassning. Varje komponent ber\u00e4knad exakt, utan magisk koefficient.<\/p>\n  <p>Om du har provat MFP seri\u00f6st och inte fick de resultat du hoppades p\u00e5, \u00e4r problemet inte du. Problemet sitter under huven. Byt 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\">Nedladdning<\/div>\n  <h3>Lean kan laddas ner gratis<\/h3>\n  <p>iOS och Android. AI BodyScan fungerar med ett enda foto. Ingen kaliper, ingen impedansv\u00e5g, 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 vidare<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interna l\u00e4nkar<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">Gratis TDEE-kalkylator online<\/a> &middot; webbversion, utan registrering, samma logik som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">F\u00f6rst\u00e5 TDEE i detalj (BMR, NEAT, EAT, TEF, anpassning)<\/a> &middot; djupg\u00e5ende vetenskaplig artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/comment-compter-ses-calories\/\">S\u00e5 r\u00e4knar du dina kalorier r\u00e4tt<\/a> &middot; praktisk guide f\u00f6r nyb\u00f6rjare.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT&nbsp;: f\u00f6rbrukning per steg och aktivitet utanf\u00f6r tr\u00e4ning<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF&nbsp;: matsm\u00e4ltningen f\u00f6rbr\u00e4nner 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\">K\u00e4llor<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikel publicerad 21 maj 2026. Uppdateras regelbundet med anv\u00e4ndarfeedback och nya relevanta studier. Lean finns p\u00e5 iOS och 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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Lean s\u00e4tter ihop din TDEE p\u00e5 nytt kontinuerligt.<\/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: varf\u00f6r MFP ber\u00e4knar din f\u00f6rbrukning fel<\/title>\n<meta name=\"description\" content=\"Varf\u00f6r MyFitnessPal ber\u00e4knar din kalorif\u00f6rbrukning fel: BMR p\u00e5 formel fr\u00e5n 1919, ingen metabol anpassning, fasta NEAT\/EAT. 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