{"id":1241,"date":"2026-05-21T18:28:26","date_gmt":"2026-05-21T18:28:26","guid":{"rendered":"https:\/\/lean-app.com\/?p=1241"},"modified":"2026-09-08T18:17:56","modified_gmt":"2026-09-08T18:17:56","slug":"lean-vs-myfitnesspal","status":"publish","type":"post","link":"https:\/\/lean-app.com\/de\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal: Die TDEE-Formel, die alles ver\u00e4ndert"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1241 #lvm-shell .wrap,\nbody.postid-1241 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1241 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 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grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    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\/de\/\" aria-label=\"Lean-Startseite\">\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\/de\/tdee-calculator\/\">TDEE-Rechner<\/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=\"Im App Store laden\">\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=\"Verf\u00fcgbar bei 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\/de\/\">Startseite<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">Vergleich &middot; Ern\u00e4hrung &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">Die TDEE-Formel, die alles \u00e4ndert. 1919 gegen 2025, wissenschaftlich.<\/span>\n  <\/h1>\n  <p class=\"dek\">Warum MyFitnessPal bei 80&nbsp;% der Nutzer danebenliegt, und die Alternative, die kann, was MFP nicht kann.<\/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>Das Lean-Team<\/strong> &middot; 12&nbsp;Min. Lesezeit &middot; Aktualisiert am 21. Mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Kostenloser Download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal berechnet deinen TDEE mit einer Formel von 1919 (Harris-Benedict) ohne K\u00f6rperfett, plus einem fast zuf\u00e4lligen Aktivit\u00e4tskoeffizienten, und ignoriert die metabolische Anpassung. Dein Ziel kann um 500 bis 800&nbsp;kcal falsch sein. Lean berechnet jede Komponente genau neu, ohne Koeffizienten zum Ausw\u00e4hlen.\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>Interaktive Demo<\/small>Tippe auf den Bildschirm und erkunde die 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>Interaktive Demo<\/small>Tippe auf den Bildschirm<br>und erkunde die App<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vorschau der Lean-App mit TDEE-Drilldown\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Zur&uuml;ck\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-Vorschau, Tab Verbrauch\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-Detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Tab Bilanz\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Tab Kalorien\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tab Verbrauch\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Tab Strategie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Durch die Lean-App navigieren\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilanz<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorien<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbrauch<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Schnelle Antwort<\/div>\n    <p>MyFitnessPal berechnet deinen TDEE mit einer Formel von 1919 (Harris-Benedict) ohne K\u00f6rperfett, plus einem fast zuf\u00e4lligen Aktivit\u00e4tskoeffizienten, und ignoriert die metabolische Anpassung. Dein Kalorienziel kann um 500 bis 800&nbsp;kcal falsch sein. Lean berechnet jede Komponente neu (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. In Ruhe verbrauchte Energie. Bei Lean auf der echten Magermasse per KI-BodyScan berechnet.<\/span><\/span> auf echtem K\u00f6rperfett, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Verbrauch durch Schritte und Alltagsaktivit\u00e4ten au\u00dferhalb des Sports.<\/span><\/span> pro Schritt, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Verbrauch durch deine Trainingseinheiten, berechnet \u00fcber MET.<\/span><\/span> \u00fcber MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. F\u00fcr die Verdauung aufgewendete Energie. H\u00e4ngt von den aufgenommenen Makros ab.<\/span><\/span> nach Makros, automatische metabolische Anpassung) ohne Aktivit\u00e4tskoeffizienten zum Ausw\u00e4hlen.<\/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; Der Befund<\/span><\/div>\n  <h2 id=\"constat\">Warum 80&nbsp;% der MFP-Nutzer trotz \u201eDefizit\u201c nicht abnehmen<\/h2>\n  <p>Wenn du das liest, bist du wahrscheinlich da durch. Du hast MyFitnessPal heruntergeladen, dein Profil ausgef\u00fcllt, die App hat dir gesagt \u201edein <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. Die Formel BMR + NEAT + EAT + TEF, plus die metabolische Anpassung, die den BMR moduliert.<\/span><\/span> betr\u00e4gt 2.500&nbsp;kcal pro Tag, iss 2.250&nbsp;kcal, um abzunehmen\u201c. Du hast es getan. Religi\u00f6s. Du hast dein Essen gewogen. Du bist sogar auf Premium umgestiegen. Und am Ende des Monats hast du dasselbe Gewicht. Oder sogar etwas mehr.<\/p>\n  <p>Du sagst dir: \u201eich muss schlecht getrackt haben, ich muss meine Kalorien untersch\u00e4tzt haben\u201c. Du ziehst die Schraube an. Du gehst auf 2.000&nbsp;kcal runter. Wieder nichts.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">der MFP-Nutzer stagnieren trotz theoretischem Defizit. Das Problem ist nicht ihre Willenskraft. Es ist die Berechnung ihres TDEE.<\/div>\n  <\/div>\n\n  <p>Stellen wir uns vor, MFP zeigt dir einen TDEE von 2.500&nbsp;kcal. Du isst 2.250 (theoretisches Defizit von 250&nbsp;kcal). Aber in Wirklichkeit liegt dein <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">TDEE bei 2.200&nbsp;kcal<\/a>. Dann gibt es keine Chance, ich sage <strong>keine Chance<\/strong>, dass du abnimmst. Du bist im \u00dcberschuss von 50&nbsp;kcal, ohne es zu wissen.<\/p>\n  <p>Deshalb ist es entscheidend, extrem wichtig, <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comment-compter-ses-calories\/\">deinen Verbrauch perfekt zu berechnen<\/a>. Und genau daran scheitert MyFitnessPal.<\/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\">Die BMR-Formel von 1919<\/h2>\n  <p>Um deinen Grundumsatz zu berechnen (den BMR, die Energie, die du in Ruhe verbrennst), nutzt MyFitnessPal die Harris-Benedict-Gleichung. Oder ihre direkte Ableitung, Mifflin-St Jeor. Je nach App-Version.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Abbildung 1 &middot; Mann 1,80 m, 120&nbsp;kg, 30&nbsp;% KF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"BMR-Vergleich Harris-Benedict 2500 kcal vs patentiertes eigenes Lean-Modell 2000 kcal, Differenz von 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Gesch\u00e4tzter BMR.<\/strong> Das patentierte propriet\u00e4re Lean-Modell ber\u00fccksichtigt die Magermasse. Harris-Benedict (MFP) nicht. Unterschied von 500&nbsp;kcal, das \u00c4quivalent eines ganzen Mittagessens.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict, das ist 1919. Wir sind am Ende des Ersten Weltkriegs. Zwei Forscher nehmen 239 Personen aus einer einzigen Stadt (Boston), legen sie mit einer Maske in ein Bett, um den Sauerstoffverbrauch zu berechnen, und leiten daraus eine Formel ab, die von Gewicht, Gr\u00f6\u00dfe, Alter und Geschlecht abh\u00e4ngt.<\/p>\n  <p>F\u00fcr die damalige Zeit war das innovativ. 2025 ist es unbrauchbar. Drei Gr\u00fcnde:<\/p>\n  <ol>\n    <li><strong>Die Stichprobe ist l\u00e4cherlich<\/strong>&nbsp;: 239 Personen aus einer einzigen amerikanischen Stadt, 1918. In einer Zeit, in der es weit weniger \u00dcbergewicht gab als heute, in der die Hormonspiegel und die durchschnittliche K\u00f6rperzusammensetzung nichts mit unseren zu tun hatten.<\/li>\n    <li><strong>Das Messinstrument war ungenau<\/strong>&nbsp;: die indirekte Kalorimetrie der damaligen Zeit hatte eine enorme Fehlermarge. Modernere Studien haben gezeigt, dass Harris-Benedict den Grundumsatz systematisch \u00fcbersch\u00e4tzt.<\/li>\n    <li><strong>Der konzeptionelle Fehler<\/strong>&nbsp;: die Formel ber\u00fccksichtigt nur das Gewicht. Nicht das K\u00f6rperfett. Nicht die Magermasse.<\/li>\n  <\/ol>\n  <p>Dabei wei\u00df man seit den 1980er Jahren, dass <strong>die Fettmasse sehr wenig Energie verbraucht<\/strong> im Vergleich zum Rest des K\u00f6rpers. Leber, Gehirn, Herz, Nieren und vor allem die Muskeln sind die echten Verbrauchsposten. Die Fettmasse ist inert. Eine Person mit 30&nbsp;% K\u00f6rperfett verbrennt bei weitem nicht so viel wie eine Person mit 10&nbsp;% K\u00f6rperfett, selbst bei gleichem Gewicht.<\/p>\n\n  <p>500&nbsp;kcal, das ist nicht nichts. Wenn MFP dir sagt \u201edein BMR betr\u00e4gt 2.500\u201c und er in Wirklichkeit 2.000 betr\u00e4gt, ist alles Folgende falsch.<\/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\">Echtes K\u00f6rperfett<strong>Foto, 5 Sekunden<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">Unterschied zwischen zwei M\u00e4nnern mit 80&nbsp;kg, einer mit 10&nbsp;% K\u00f6rperfett (BMR 1.900), der andere mit 30&nbsp;% (BMR 1.500). MFP gibt beiden dieselbe Zahl.<\/div>\n  <\/div>\n\n  <p>Zwischenfazit: wenn eine App deinen BMR nur aus Gewicht, Gr\u00f6\u00dfe, Alter und Geschlecht berechnet, lauf weg. Es ist mathematisch unm\u00f6glich, ein zuverl\u00e4ssiges Ergebnis zu bekommen.<\/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\">Der \u201efast zuf\u00e4llige\u201c Aktivit\u00e4tskoeffizient<\/h2>\n  <p>Hier wird es ernst. Und das ist wahrscheinlich der Punkt, den dir niemand erkl\u00e4rt hat.<\/p>\n  <p>Sobald MFP deinen BMR (falsch) berechnet hat, muss es deinen gesamten TDEE sch\u00e4tzen. Der <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">TDEE, das ist der BMR + alles andere<\/a>&nbsp;: der Verbrauch durch Schritte, Alltagsaktivit\u00e4ten, Sport und Verdauung. Alles, was nicht Grundumsatz ist.<\/p>\n  <p>Wie macht MyFitnessPal das? Es l\u00e4sst dich ein K\u00e4stchen ankreuzen:<\/p>\n  <ul><li>Sitzend<\/li><li>Wenig aktiv<\/li><li>Aktiv<\/li><li>Sehr aktiv<\/li><\/ul>\n  <p>Und je nach deiner Wahl multipliziert es deinen BMR mit einem Koeffizienten (typischerweise 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). Das ist alles. Das ist alles, was hinter deinem t\u00e4glichen Kalorienziel steckt. Ein K\u00e4stchen, das DU ein einziges Mal bei der Anmeldung angekreuzt hast. Oft vor sechs Monaten. Seitdem unver\u00e4ndert.<\/p>\n  <p>Und da ist der stille Skandal: diese N\u00e4herung ist <strong>extrem unvollkommen<\/strong>. Der Unterschied zwischen einem Tag, an dem du vor Netflix auf dem Sofa klebst, und einem Tag, an dem du mit deinen Kindern nach Disneyland gehst und 15&nbsp;km l\u00e4ufst, <strong>das sind mehr als 1.000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Abbildung 2 &middot; 7 echte Tage<\/span><span class=\"r\">kcal\/Tag<\/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=\"T\u00e4gliche Schwankung des Kalorienverbrauchs \u00fcber 7 Tage gegen\u00fcber festen 2400 kcal laut MyFitnessPal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echter Verbrauch<\/strong> gemessen \u00fcber 7&nbsp;Tage bei einem Lean-Nutzer. Die graue Linie ist, was MFP anzeigte (2.400&nbsp;kcal fest). Die rosa Anmerkungen zeigen, warum sich jeder Tag bewegt.<\/p>\n  <\/div>\n\n  <p>Du kannst dein Aktivit\u00e4tsniveau nicht auf ein statisches K\u00e4stchen reduzieren. Vielleicht bist du aktiv in den Wochen, in denen du wenig im Homeoffice bist, und sitzend in denen, in denen du das B\u00fcro nicht verl\u00e4sst. Vielleicht bist du aktiv im Sommer und sitzend im Winter. Vielleicht bist du aktiv von Dienstag bis Freitag und sitzend am Wochenende.<\/p>\n  <p>Welches K\u00e4stchen kreuzt du diese Woche an? Die Wahrheit ist, dass keines der 4 richtig sein wird. Und deshalb gibt dir MFP einen TDEE, der systematisch von der Realit\u00e4t abgekoppelt ist.<\/p>\n  <p>Es ist fast zuf\u00e4llig. Es ist sogar etwas besser als ein Losentscheid, aber nicht viel.<\/p>\n  <p>Der Kernpunkt dieses Artikels: selbst wenn MyFitnessPal eine perfekte BMR-Formel h\u00e4tte (was nicht der Fall ist), w\u00fcrde der Aktivit\u00e4tskoeffizient reichen, um alles zu ruinieren. Du kannst kein <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT<\/a>, ein EAT und ein <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\">TEF<\/a> mit einem einzigen auf den BMR angewendeten Multiplikator. Das ist konzeptionell absurd.<\/p>\n  <p>Du hast es verstanden: <strong>eine v\u00f6llig verf\u00e4lschte BMR-Formel plus eine N\u00e4herung der anderen Verbrauchsposten, das ergibt keine Chance, deine Ziele zu erreichen.<\/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\">Deinen echten TDEE sehen, aufgeschl\u00fcsselt in BMR + NEAT + EAT + TEF. Kostenloser Download.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Die ignorierte metabolische Anpassung<\/h2>\n  <p>Das ist der Endgegner. Der feinste Begriff. Und wahrscheinlich der wichtigste.<\/p>\n  <p>Wenn du im Kaloriendefizit bist, versteht dein K\u00f6rper, dass er weniger Energie bekommt als zuvor. Um sich zu sch\u00fctzen, schaltet er in den Sparmodus. Genau wie der Energiesparmodus deines iPhones: alles funktioniert weiter, aber mit weniger Energie. Dein BMR sinkt. Dein NEAT sinkt. Dein EAT sinkt.<\/p>\n  <p>Das nennt man metabolische Anpassung. Hier die Zahlen:<\/p>\n  <ul>\n    <li>Defizit von &minus;250&nbsp;kcal pro Tag \u00fcber 2 bis 8 Wochen: metabolische Anpassung von <strong>5 bis 10&nbsp;%<\/strong><\/li>\n    <li>Defizit von &minus;500&nbsp;kcal pro Tag: <strong>10 bis 15&nbsp;%<\/strong><\/li>\n    <li>Defizit von &minus;750&nbsp;kcal pro Tag: <strong>15 bis 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>Und da NEAT, EAT und TEF alle vom BMR abh\u00e4ngen, ist fast dein ganzer TDEE betroffen.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Abbildung 3 &middot; 8 Wochen im Defizit<\/span><span class=\"r\">kcal\/Tag<\/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, der \u00fcber 8 Wochen von 2500 auf 2150 kcal f\u00e4llt, gegen\u00fcber festen 2500 laut MFP\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echter TDEE<\/strong> \u00fcber 8 Wochen Defizit bei &minus;500&nbsp;kcal\/Tag. Die rosa Kurve sinkt. Die graue MFP-Linie bleibt flach. In Woche 6 bist du schon bei der Erhaltung. Ohne etwas ge\u00e4ndert zu haben.<\/p>\n  <\/div>\n\n  <p>Konkret: wenn du ein Defizit von 10&nbsp;% auf einen TDEE von 2.500 geplant hattest (also 2.250 pro Tag essen) und dein K\u00f6rper sich um 10&nbsp;% anpasst, ist dein echter TDEE auf 2.250 gesunken. Du bist bei der Erhaltung. Du nimmst nicht mehr ab.<\/p>\n  <p>Die Falle ist, dass es schleichend ist. Am Anfang nimmst du ab. Du bist zufrieden. Du machst weiter. Aber Woche f\u00fcr Woche summiert sich die Anpassung. Und irgendwann, ohne etwas an deinem Tracking ge\u00e4ndert zu haben, <strong>h\u00f6rst du auf abzunehmen<\/strong>.<\/p>\n  <p>95&nbsp;% der Menschen gehen da durch, ohne es zu verstehen. Sie geben ihrer Willenskraft die Schuld. Sie machen ihren \u201ekaputten Stoffwechsel\u201c verantwortlich. Sie starten h\u00e4rtere Di\u00e4ten, was die Anpassung verschlimmert. Spirale.<\/p>\n  <p>MyFitnessPal berechnet nie die metabolische Anpassung. Es gibt dir ein festes, statisches Ziel. Wenn du nach 6 Wochen stagnierst, hat die App keine Ahnung, warum.<\/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\u00f6sung<\/span><\/div>\n  <h2 id=\"solution\">Wie Lean jedes der 3 Probleme l\u00f6st<\/h2>\n  <p>Lean wurde nicht als verbesserter Klon von MyFitnessPal gebaut. Lean wurde als die App gebaut, die man sich gew\u00fcnscht h\u00e4tte, um die Theorie des vollst\u00e4ndigen TDEE ernsthaft umzusetzen. Konkret: so behandelt Lean jede Komponente.<\/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\">Schritt 1<strong>KI-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\">Schritt 2<strong>Neu berechneter BMR<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; Der BMR auf echtem K\u00f6rperfett<\/div>\n      <h3>Patentiertes propriet\u00e4res Modell, auf Basis der Magermasse<\/h3>\n      <p>Lean nutzt ein <strong>patentiertes propriet\u00e4res Modell<\/strong> , das direkt von der Magermasse abh\u00e4ngt, nicht vom Rohgewicht. Daf\u00fcr braucht die App dein K\u00f6rperfett. Und da kommen wir zur historisch nervigsten Sache: wie misst man sein K\u00f6rperfett, ohne jede Woche 100&nbsp;\u20ac f\u00fcr einen DEXA-Scan zu zahlen?<\/p>\n      <p>Antwort von Lean: der <strong>KI-BodyScan<\/strong>. Du machst ein Foto, die App gibt es an ein Modell weiter, das auf einer riesigen Bank von DEXA-Scans trainiert wurde, und du bekommst dein gesch\u00e4tztes K\u00f6rperfett in wenigen Sekunden. Du kannst es jede Woche wiederholen. Der BMR wird automatisch neu berechnet.<\/p>\n      <p>Tsch\u00fcss Hautfaltenzange (ungenau), tsch\u00fcss Impedanzwaage (der Betrug des Jahrhunderts), tsch\u00fcss DEXA-Scan (perfekt, aber unzug\u00e4nglich). Ein Foto, 5 Sekunden.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.02 &middot; Kein Aktivit\u00e4tskoeffizient<\/div>\n      <h3>NEAT, EAT, TEF getrennt berechnet<\/h3>\n      <p><strong>NEAT.<\/strong> Lean holt deine echte Schrittzahl \u00fcber HealthKit (iOS) oder Google Fit (Android). Keine Angabe. Kein \u201eich glaube, ich gehe genug\u201c. Deine Schritte, gemessen von den sehr pr\u00e4zisen Beschleunigungssensoren deines Smartphones. Das <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT wird berechnet, indem diese Schritte mit deinem BMR verkn\u00fcpft werden<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> F\u00fcr jede Trainingseinheit w\u00e4hlst du den Sport aus einer Liste (Krafttraining, Laufen, Tennis, Schwimmen usw.), und Lean nutzt das MET (Metabolic Equivalent Task) dieses Sports, um den echten Verbrauch zu berechnen. Du gibst die <strong>effektiv<\/strong> Sportzeit ein (nicht die Gesamtzeit mit Pausen: der Fehler, den 100&nbsp;% der Smartwatches machen). Eine Krafttrainingseinheit mit 1.050&nbsp;kcal laut deiner Apple Watch? Die Realit\u00e4t liegt eher bei 200&nbsp;kcal. Lean lehnt diese Abweichung ab.<\/p>\n      <p><strong>TEF.<\/strong> Die Verdauung verbrennt Energie, und das ist keine feste Pauschale von 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\">Proteine kosten 20 bis 30&nbsp;%<\/a> ihrer Kalorien bei der Verdauung. Kohlenhydrate 5 bis 10&nbsp;%. Fette 1 bis 3&nbsp;%. Lean berechnet deinen echten TEF aus deinen Makros. Bei 3.000&nbsp;kcal\/Tag kann das je nach Zusammensetzung deiner Ern\u00e4hrung 100&nbsp;kcal Unterschied ausmachen.<\/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; Automatische metabolische Anpassung<\/div>\n      <h3>Eine Weltpremiere in einer Verbraucher-App<\/h3>\n      <p>Lean ist unseres Wissens die erste App, die die metabolische Anpassung automatisch berechnet. Mit jeder Woche im Defizit senkt die App deinen TDEE nach den wissenschaftlich belegten Zahlen. Du musst nichts tun. Du siehst nur, wie sich dein Kalorienziel sanft anpasst, ohne \u00dcberraschung.<\/p>\n      <p>Wenn du 10 bis 15&nbsp;% Anpassung erreichst, kann die App dir eine R\u00fcckkehr zur Erhaltung empfehlen, um deinen BMR zur\u00fcckzusetzen, bevor du wieder ins Defizit gehst. Zyklus, Plateau, Zyklus. Wie in echten Protokollen.<\/p>\n      <p>Kein Aktivit\u00e4tskoeffizient zum Ausw\u00e4hlen. Kein statisches K\u00e4stchen. Nur jede Komponente genau berechnet, Woche f\u00fcr Woche.<\/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\">Methode<strong>Metabolische Anpassung<\/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; Vergleichstabelle<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, Kriterium f\u00fcr Kriterium<\/h2>\n  <p>Ehrliche Lekt\u00fcre der St\u00e4rken und Schw\u00e4chen jeder App. Kein Kriterium betrifft den Preis.<\/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=\"Vergleich 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> Patentiertes propriet\u00e4res Modell (Magermasse)<\/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 (nur Gewicht)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Ber\u00fccksichtigt das K\u00f6rperfett<\/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> Nein<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">K\u00f6rperfettmessung in der App<\/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> KI-BodyScan per 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> Nein<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (Schritte, Aktivit\u00e4t au\u00dferhalb des Sports)<\/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> Auf echten Schritten berechnet<\/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> Im Koeffizienten zusammengefasst<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (Trainingsverbrauch)<\/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> Pro Sportart \u00fcber MET, effektive Zeit<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Wenig zuverl\u00e4ssige Pauschalsch\u00e4tzungen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (Verdauung)<\/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> Nach Makros berechnet<\/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> Nicht berechnet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolische Anpassung<\/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> Automatisch, Woche f\u00fcr Woche<\/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> Nein<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivit\u00e4tskoeffizient zum Ausw\u00e4hlen<\/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> Nein, auf echten Daten berechnet<\/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 statische K\u00e4stchen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">KI-Fotoscan eines Gerichts<\/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, unbegrenzt<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Begrenzt<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Barcode-Scan<\/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\">Lebensmitteldatenbank<\/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, kuratiert<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Community-basiert, bis zu 10.000 Varianten desselben Lebensmittels<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Empfehlung Kaloriendefizit<\/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> An den echten TDEE angepasst<\/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> Feste Sch\u00e4tzung<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 Methoden, um eine Mahlzeit zu tracken<\/h2>\n  <p>Kalorien zu tracken ist gut. <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comment-compter-ses-calories\/\">Es 12 Monate lang zu tun, ist etwas anderes<\/a>. Das Prinzip Nr. 1, <strong>vor der Wissenschaft, vor den Makros, vor allem anderen<\/strong>, ist die Adh\u00e4renz. Wenn die Tracking-Methode dich nervt, h\u00f6rst du nach 3 Wochen auf. Lean bietet 3 Methoden, um eine Mahlzeit zu tracken:<\/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\">Methode 1<strong>Datenbank<\/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\">Methode 2<strong>Barcode<\/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\">Methode 3<strong>KI-Fotoscan<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Suche in der Datenbank.<\/strong> Kuratierte Datenbank, USDA + OpenFoodFacts. Kein Community-Rauschen, kein \u201eBrath\u00e4hnchen\u201c, das 47-mal von 47 verschiedenen Nutzern mit 47 verschiedenen Werten eingetragen wurde.<\/li>\n    <li><strong>Barcode-Scan.<\/strong> Standard. Du scannst deine Nudelpackung, du bekommst die Makros.<\/li>\n    <li><strong>KI-Fotoscan eines Gerichts.<\/strong> Du fotografierst deinen Teller, die KI erkennt die Lebensmittel, du bekommst Kalorien und Makros pro Lebensmittel.<\/li>\n  <\/ol>\n  <p>Der KI-Fotoscan ist der Adh\u00e4renz-Gamechanger. Wenn du ausw\u00e4rts isst, im Restaurant, bei Freunden, ist er mega praktisch. Ein Foto, du schlie\u00dft die App, du genie\u00dft deinen Abend. Ja, das ist weniger genau als grammgenaues Wiegen mit einer K\u00fcchenwaage. Aber \u00fcber 12 Monate macht das den Unterschied zwischen Durchhalten und Aufgeben. Und Durchhalten ist, was z\u00e4hlt.<\/p>\n  <p>\u00dcber das Tracking pro Mahlzeit hinaus zeigt Lean einen <strong>Live-TDEE, der sich im Laufe des Tages aktualisiert<\/strong>. Je mehr du gehst, desto mehr steigt dein Verbrauch, desto mehr passt sich dein Kalorienziel f\u00fcr den Tag an. Du siehst deine Kalorienbilanz live. Das ist motivierender als eine um 8 Uhr morgens eingefrorene Zahl.<\/p>\n  <p>Und \u00fcber all dem steht die <strong>Progressions-Pyramide<\/strong>. Das ist ein Bildschirm der App, der ordnet, was z\u00e4hlt:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Lean-Fortschrittspyramide\">\n    <div class=\"level l1\"><span>Adh\u00e4renz<\/span><span class=\"k\">Basis<\/span><\/div>\n    <div class=\"level l2\"><span>Kalorienziel<\/span><span class=\"k\">Stufe 2<\/span><\/div>\n    <div class=\"level l3\"><span>Schritte \/ NEAT<\/span><span class=\"k\">Stufe 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e4hrstoffe<\/span><span class=\"k\">Spitze<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Keine Stufen \u00fcberspringen. Wenn du beim Tracking nicht regelm\u00e4\u00dfig bist, bringt es nichts, die Makros aufs Prozent genau zu optimieren.<\/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; Ehrlichkeit<\/span><\/div>\n  <h2 id=\"mfp-better\">Was MyFitnessPal besser macht<\/h2>\n  <p>Lean ist nicht perfekt, MFP hat ein paar Vorteile, die man anerkennen muss. Ehrliche Lekt\u00fcre, Kriterium f\u00fcr Kriterium, auf den Achsen, wo MFP vorn bleibt.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard MFP vs Lean auf 4 Nebenachsen\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Achse<\/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\">Bekanntheit &amp; Online-Tutorials<\/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\">Gr\u00f6\u00dfe der Datenbank<\/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 \/ Social Feed<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Integrationen von Drittanbieter-Apps<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Ehrliche Lekt\u00fcre.<\/strong> Bei Bekanntheit und Social Feed bleibt MFP vorn. Bei der rohen Gr\u00f6\u00dfe der Lebensmitteldatenbank hat MFP mehr Eintr\u00e4ge (aber die 14 Millionen Eintr\u00e4ge sind community-basiert und verrauscht, bis zu 10.000 Varianten desselben Lebensmittels). Bei Drittintegrationen hat MFP ein breiteres \u00d6kosystem. Lean integriert HealthKit und Google Fit, was 95&nbsp;% der F\u00e4lle abdeckt.<\/p>\n  <p>Kurz: wenn alles, was du willst, ein grobes Ern\u00e4hrungstagebuch ohne genaues Ziel ist, reicht MFP v\u00f6llig. Wenn du methodisch Fett verlieren willst, mit einem <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/tdee-calculator\/\">genauen TDEE<\/a>, reicht MFP nicht, und genau das wurde in den 3 vorherigen Abschnitten gezeigt.<\/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\u00fcr wen<\/span><\/div>\n  <h2 id=\"forwho\">F\u00fcr wen Lean gemacht ist<\/h2>\n  <p>4 Profile. Wenn du dich in mindestens einem wiedererkennst, ist Lean wahrscheinlich f\u00fcr dich gemacht.<\/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 hast MFP ernsthaft ausprobiert und nicht abgenommen<\/h4>\n        <p>Du hast wochenlang ein ehrliches Defizit angewendet, ohne Ergebnis. Die Ursache ist sehr wahrscheinlich der verf\u00e4lschte TDEE. Lean korrigiert das an der Wurzel \u00fcber den BMR auf echtem K\u00f6rperfett.<\/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 stagnierst nach mehreren Wochen Cut<\/h4>\n        <p>Plateau, das sich nach 4 bis 8 Wochen hinzieht. Das ist die metabolische Anpassung. Lean berechnet sie automatisch und passt dein Ziel jede Woche an.<\/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 willst deinen Stoffwechsel verstehen<\/h4>\n        <p>Lean zeigt jede Komponente (BMR, NEAT, EAT, TEF, Anpassung), statt alles hinter einer einzigen Zahl zu verstecken. Du siehst, woher jede verbrauchte kcal kommt.<\/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 willst ein Tracking, das 12 Monate h\u00e4lt<\/h4>\n        <p>KI-Fotoscan + kuratierte Datenbank + Barcode decken alle Anwendungsf\u00e4lle ab, vom rohen Lebensmittel bis zur Pizza im Restaurant. Das macht den Unterschied zwischen Durchhalten und Aufgeben.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal kann reichen f\u00fcr<\/strong>&nbsp;: die, die nur ein Ern\u00e4hrungstagebuch ohne besondere Genauigkeit wollen, oder die, die den sozialen Community-Aspekt m\u00f6gen.<\/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; Umstieg<\/span><\/div>\n  <h2 id=\"migrate\">In 5 Minuten von MyFitnessPal zu Lean wechseln<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Lade Lean herunter<\/h4><p>App Store oder Play Store. Anmeldung in 30 Sekunden.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>KI-BodyScan<\/h4><p>Ein Foto, 5 Sekunden. Du bekommst dein K\u00f6rperfett.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Gewicht &amp; Gr\u00f6\u00dfe<\/h4><p>Gib dein Gewicht und deine Gr\u00f6\u00dfe ein. Das ist alles.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean berechnet<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, Anpassung. Automatisch.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Tracke eine Mahlzeit<\/h4><p>Foto, Barcode oder Datenbank. Versteh den Ablauf.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Wichtiger Hinweis.<\/strong> Lean bietet keinen automatischen Import deiner MyFitnessPal-Daten. Das ist Absicht. Die MFP-Datenbank wird von den Nutzern von Hand eingegeben, also verrauscht. Wir starten lieber sauber, mit einer kuratierten Datenbank USDA + OpenFoodFacts, statt das Rauschen zu erben.<\/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\">Lean herunterladen und den KI-BodyScan sofort starten. Kostenlose Anmeldung.<\/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; Was Lean freischaltet<\/span><\/div>\n  <h2 id=\"deblock-h\">Was Lean tut und MFP nie tun wird<\/h2>\n  <p>Sechs Funktionen, die es in keinem anderen Verbraucher-Tracker gibt. Sie folgen alle demselben Prinzip: jede TDEE-Komponente genau berechnen, nicht ann\u00e4hern.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Unbegrenzter KI-BodyScan<\/div><p class=\"fd\">Dein echtes K\u00f6rperfett, gemessen aus einem einfachen Foto, jede Woche wiederholt. Das ist die Zahl, die die ganze BMR-Berechnung ver\u00e4ndert. Keine andere Verbraucher-App bietet das.<\/p><\/div><div class=\"fc\">K\u00f6rperfett<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Unbegrenzter KI-Fotoscan eines Gerichts<\/div><p class=\"fd\">Tracke deine Mahlzeit im Restaurant in 2 Sekunden. Keine Waage, keine manuelle Eingabe. Der Adh\u00e4renz-Gamechanger \u00fcber 12 Monate.<\/p><\/div><div class=\"fc\">Adh\u00e4renz<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatische metabolische Anpassung<\/div><p class=\"fd\">Dein TDEE passt sich Woche f\u00fcr Woche nach den wissenschaftlich belegten Zahlen an. Du vermeidest die Plateaus, die niemand erkl\u00e4ren kann.<\/p><\/div><div class=\"fc\">Anpassung<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live aufgeschl\u00fcsselter TDEE<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF einzeln angezeigt, im Laufe des Tages aktualisiert. Keine um 8 Uhr morgens eingefrorene Zahl mehr. Du siehst deine Kalorienbilanz live.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Vollst\u00e4ndiger Verlauf und Trends<\/div><p class=\"fd\">Verfolge deine Trends bei Gewicht, K\u00f6rperfett und Magermasse \u00fcber Monate. Verstehe deine Zyklen. Erkenne die Phasen, in denen du vorankommst, und die, in denen du stagnierst.<\/p><\/div><div class=\"fc\">Verlauf<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 vereinte Tracking-Methoden<\/div><p class=\"fd\">Foto, Barcode, kuratierte Datenbank. Keine andere App bietet alle drei mit dieser Genauigkeit. Du w\u00e4hlst die Methode je nach Kontext.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installierst die App kostenlos, testest unverbindlich und entscheidest dann, ob das Tool zu deinem Ziel passt.<\/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\">H\u00e4ufige Fragen<\/h2>\n  <div class=\"faq\">\n    <details><summary>Ist Mifflin-St Jeor besser als Harris-Benedict?<\/summary><div class=\"ans\">Marginal. Mifflin-St Jeor (1990) ist eine Aktualisierung von Harris-Benedict mit einer etwas moderneren Stichprobe. Aber sie erbt denselben konzeptionellen Fehler: kein K\u00f6rperfett als Eingabe. Es ist nur eine neu gestrichene Version desselben Fehlers. MFP nutzt Mifflin-St Jeor seit einigen Jahren, was besser ist als Harris-Benedict, aber das Grundproblem nicht behebt.<\/div><\/details>\n    <details><summary>Muss man sein K\u00f6rperfett wirklich kennen?<\/summary><div class=\"ans\">Ja. Ohne K\u00f6rperfett kann dein BMR um 400&nbsp;kcal falsch sein (siehe das Beispiel der zwei M\u00e4nner mit 80&nbsp;kg, einer mit 10&nbsp;%, der andere mit 30&nbsp;%). Ohne diese Zahl wirst du nie ernsthaft abnehmen. Sie jede Woche mit dem KI-BodyScan zu messen, dauert 5 Sekunden.<\/div><\/details>\n    <details><summary>Funktioniert der Aktivit\u00e4tskoeffizient gar nicht?<\/summary><div class=\"ans\">F\u00fcr eine ultragrobe Sch\u00e4tzung \u00fcber 6 Monate kann er eine vage Tendenz liefern. Um ein genaues Ziel zu erreichen (Fettabbau, sauberer Muskelaufbau), ist er unzureichend. Die t\u00e4gliche Schwankung des Verbrauchs ist zu gro\u00df, um von einem statischen K\u00e4stchen erfasst zu werden.<\/div><\/details>\n    <details><summary>Was genau ist die metabolische Anpassung?<\/summary><div class=\"ans\">Das ist der spontane R\u00fcckgang deines Kalorienverbrauchs im anhaltenden Defizit. Energiesparmodus. Bei einem Defizit von &minus;500&nbsp;kcal\/Tag kann dein TDEE in 4 bis 6 Wochen um 10 bis 15&nbsp;% sinken. Wenn eine App das nicht wei\u00df, stagnierst du, ohne zu verstehen, warum.<\/div><\/details>\n    <details><summary>Wie lange dauert es, bis man mit Lean ein Ergebnis sieht?<\/summary><div class=\"ans\">Das h\u00e4ngt vom angewendeten Defizit ab. Bei einem vern\u00fcnftigen Defizit von &minus;250 bis &minus;500&nbsp;kcal\/Tag solltest du einen Verlust von 0,3 bis 0,6&nbsp;kg pro Woche sehen. Der gro\u00dfe Unterschied zu MFP: mit Lean ist dein TDEE genau bekannt, also wird dein Defizit wirklich angewendet, ohne statistische \u00dcberraschung.<\/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; Fazit<\/span><\/div>\n  <h2 id=\"conclu\">1919 gegen 2025<\/h2>\n  <p>Das ist nicht MyFitnessPal gegen Lean im Marketing. Das ist 1919 gegen 2025 in der Wissenschaft.<\/p>\n  <p>MFP nutzt eine Formel vom Ende des Ersten Weltkriegs, plus einen fast zuf\u00e4lligen Aktivit\u00e4tskoeffizienten, und ignoriert die metabolische Anpassung. Die Kombination der drei macht jede genaue Sch\u00e4tzung unm\u00f6glich. Das ist Mathematik.<\/p>\n  <p>Lean wurde gebaut, um genau das Gegenteil zu tun: BMR basierend auf der <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">echten K\u00f6rperfett<\/a> (gemessen per KI-BodyScan) \u00fcber ein patentiertes propriet\u00e4res Modell, <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT aus echten Schritten<\/a>, EAT nach Sportart und MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\">TEF nach Makros<\/a>, automatische metabolische Anpassung. Jede Komponente genau berechnet, ohne magischen Koeffizienten.<\/p>\n  <p>Wenn du MFP ernsthaft ausprobiert hast und nicht die erhofften Ergebnisse bekommen hast, liegt das Problem nicht bei dir. Das Problem liegt unter der Haube. Wechsle die 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\">Download<\/div>\n  <h3>Lean ist kostenlos herunterladbar<\/h3>\n  <p>iOS und Android. Der KI-BodyScan funktioniert mit einem einfachen Foto. Keine Hautfaltenzange, keine Impedanzwaage, kein 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=\"Lean im App Store laden\">\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=\"Lean bei Google Play laden\">\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\">Zum Weiterlesen<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne Verlinkung<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/tdee-calculator\/\">Kostenloser TDEE-Rechner online<\/a> &middot; Web-Version, ohne Anmeldung, gleiche Logik wie die App (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">Den TDEE im Detail verstehen (BMR, NEAT, EAT, TEF, Anpassung)<\/a> &middot; wissenschaftlicher Grundlagenartikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comment-compter-ses-calories\/\">Wie du deine Kalorien richtig z\u00e4hlst<\/a> &middot; praktischer Leitfaden f\u00fcr Einsteiger.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT: Verbrauch pro Schritt und Aktivit\u00e4t au\u00dferhalb des Sports<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\">TEF: die Verdauung verbrennt Kalorien<\/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\">Quellen<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Literatur<\/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 ver\u00f6ffentlicht am 21. Mai 2026. Regelm\u00e4\u00dfig aktualisiert mit Nutzerfeedback und neuen relevanten Studien. Lean ist f\u00fcr iOS und Android verf\u00fcgbar.<\/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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Wir haben 5 KI 291 Mal die Frage gestellt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">291 Antworten, 5 KI, 6 identische Profile: bis zu 1.260 kcal Unterschied f\u00fcr dieselbe Person, und keine Nachverfolgung am n\u00e4chsten Tag.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Welche MyFitnessPal-Alternative 2026? 5 Apps getestet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Ehrlicher Vergleich, TDEE-Genauigkeit, Bedienung.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Alle Lean-Vergleiche mit den gro\u00dfen Kalorien-Apps <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/lean-vs-yazio\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean gegen Yazio: wissenschaftliche Pr\u00e4zision vs. europ\u00e4ische Bedienung <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Vergleich BMR, NEAT, EAT, TEF, Anpassung.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean gegen Foodvisor: Foto-Scan-Pionier vs. echter Verbrauch <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Foodvisor sieht deinen Teller. Lean berechnet deinen TDEE laufend neu.<\/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: Die TDEE-Formel, die alles ver\u00e4ndert - Lean<\/title>\n<meta name=\"description\" content=\"Warum MyFitnessPal deinen Kalorienverbrauch falsch berechnet: BMR nach einer Formel von 1919, keine metabolische Anpassung, feste NEAT\/EAT. Detaillierter Vergleich Lean vs MFP.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/de\/lean-vs-myfitnesspal\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs MyFitnessPal: Die TDEE-Formel, die alles ver\u00e4ndert - Lean\" \/>\n<meta property=\"og:description\" content=\"Warum MyFitnessPal deinen Kalorienverbrauch falsch berechnet: BMR nach einer Formel von 1919, keine metabolische Anpassung, feste NEAT\/EAT. 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