{"id":1352,"date":"2026-05-23T13:43:16","date_gmt":"2026-05-23T13:43:16","guid":{"rendered":"https:\/\/lean-app.com\/?p=1352"},"modified":"2026-09-08T18:18:03","modified_gmt":"2026-09-08T18:18:03","slug":"lean-vs-yazio","status":"publish","type":"post","link":"https:\/\/lean-app.com\/de\/lean-vs-yazio\/","title":{"rendered":"Lean gegen Yazio: wer berechnet 2026 wirklich deinen Kalorienverbrauch?"},"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-1352 #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-1352 #lvm-shell .wrap,\nbody.postid-1352 #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-1352 #lvm-shell .wrap,\n  body.postid-1352 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1352 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1352 #lvm-shell *{max-width:100%}\nbody.postid-1352 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1352 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1352 #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-1352 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1352 #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-1352 #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-1352 #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-1352 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1352 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1352 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1352 #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-1352 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1352 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1352 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1352 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1352 #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-1352 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1352 #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-1352 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1352 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1352 #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-1352 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1352 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1352 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1352 #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-1352 #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-1352 #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-1352 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1352 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1352 #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-1352 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1352 #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-1352 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1352 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1352 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1352 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1352 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1352 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1352 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1352 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1352 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1352 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1352 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1352 #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-1352 #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-1352 #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-1352 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"YAZIO\"!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:#02BB8C!important;\n  }\n  body.postid-1352 #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-1352 #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-1352 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1352 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1352 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1352 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1352 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1352 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1352 #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-1352 #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-1352 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1352 #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-1352 #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-1352 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1352 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1352 #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-yazio\" 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-yazio\" 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 Yazio<\/div>\n  <div class=\"eyebrow\">Vergleich &middot; Ern\u00e4hrung &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean gegen Yazio.\n    <span class=\"alt\">Der beliebteste Kalorientracker Europas gegen den einzigen, der deinen TDEE kontinuierlich neu zusammensetzt.<\/span>\n  <\/h1>\n  <p class=\"dek\">Yazio z\u00e4hlt. Lean rechnet. Der Unterschied zeigt sich nach 6 Wochen.<\/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-yazio\" 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-yazio\" 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      Yazio ist riesig und exzellent beim Intervallfasten und den 3.000+ gef\u00fchrten Rezepten. Aber seine TDEE-Formel bleibt Mifflin-St Jeor 1990, plus ein starres Aktivit\u00e4tsniveau, das du bei der Anmeldung ein einziges Mal ankreuzt (eines der 5 K\u00e4stchen sitzend\/gering\/moderat\/aktiv\/sehr aktiv). Ohne K\u00f6rperfett, ohne metabolische Anpassung. \u00dcber 3 Monate ernsthaften Cut w\u00e4chst die L\u00fccke.\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>Yazio berechnet deinen TDEE mit Mifflin-St Jeor 1990 (ohne K\u00f6rperfett) und einem starren Aktivit\u00e4tsniveau, das du bei der Anmeldung einmal ankreuzt, unter 5 K\u00e4stchen (sitzend, gering, moderat, aktiv, sehr aktiv). Die Formel ist moderner als Harris-Benedict 1919, erbt aber denselben Fehler: keine Magermasse, kein \u00fcber Schritte gemessenes NEAT, keine metabolische Anpassung. 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 \u00fcber ein patentiertes propriet\u00e4res Modell, <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) und moduliert den BMR kontinuierlich \u00fcber die metabolische Anpassung, ohne Koeffizienten 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\">Yazio begleitet dich 100 Tage, bis zu dem Moment, in dem sich dein K\u00f6rper anpasst<\/h2>\n  <p>Wenn du das liest, hast du Yazio wahrscheinlich schon installiert. Du hast Gewicht, Gr\u00f6\u00dfe, Alter, Geschlecht eingegeben. Die App hat dich gebeten, dein Aktivit\u00e4tsniveau in einer Liste von 5 K\u00e4stchen anzukreuzen (sitzend, gering, moderat, aktiv, sehr aktiv). Sie hat dir ein Kalorienziel angezeigt, sagen wir 2.250&nbsp;kcal zum Abnehmen. Du hast es religi\u00f6s befolgt. Du hast 16:8 gemacht, die gef\u00fchrten Rezepte gekocht, deine Barcodes gescannt.<\/p>\n  <p>Die ersten 6 Wochen funktioniert es. Du nimmst ab. Du bist zufrieden. Dann, um Woche 8, friert die Waage ein. Du sagst dir: \u201eich muss nachgelassen haben, ich muss schlecht getrackt haben\u201c. Du ziehst die Schraube an. Du gehst auf 2.000&nbsp;kcal runter. Wieder bewegt sich nichts.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 bis &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">gemessener TDEE-R\u00fcckgang nach 4 bis 6 Wochen Defizit bei &minus;500&nbsp;kcal\/Tag. Yazio erkennt das nicht. Dein Kalorienziel bleibt auf deiner Wahl von vor 100&nbsp;Tagen eingefroren.<\/div>\n  <\/div>\n\n  <p>Stellen wir uns vor, Yazio zeigt dir einen TDEE von 2.500&nbsp;kcal. Du isst 2.250 (theoretisches Defizit von 250&nbsp;kcal). Aber in Wirklichkeit ist dein <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">TDEE ist auf 2.200&nbsp;kcal gesunken<\/a> wegen der metabolischen Anpassung. Du bist im \u00dcberschuss von 50&nbsp;kcal, ohne es zu wissen. Keine Chance, weiter abzunehmen.<\/p>\n  <p>Deshalb ist es entscheidend, <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comment-compter-ses-calories\/\">deinen Verbrauch perfekt zu berechnen<\/a>und ihn kontinuierlich neu zu berechnen. Und genau da bleibt Yazio, wie die meisten Verbraucher-Tracker, auf der anf\u00e4nglichen Sch\u00e4tzung stehen.<\/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 1990, ohne K\u00f6rperfett<\/h2>\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 Mifflin-St Jeor 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. Mifflin-St Jeor (Yazio) nicht. Unterschied von 500&nbsp;kcal, das \u00c4quivalent eines ganzen Mittagessens.<\/p>\n  <\/div>\n\n  <p>Um deinen Grundumsatz zu berechnen (den BMR, die Energie, die du in Ruhe verbrennst), nutzt Yazio die Mifflin-St-Jeor-Gleichung. Das ist die kanonische Formel der meisten Verbraucher-Kalorientracker, und man muss ehrlich sein: das ist besser als Harris-Benedict 1919, das andere Apps noch nutzen.<\/p>\n  <p>Mifflin-St Jeor, das ist 1990. Die Stichprobe ist gr\u00f6\u00dfer (498 Probanden), die Methodik der indirekten Kalorimetrie ist genauer, die Formel ist auf eine modernere Population kalibriert. Yazio wendet die offizielle Formel an: 10 \u00d7 Gewicht (kg) + 6,25 \u00d7 Gr\u00f6\u00dfe (cm) \u2212 5 \u00d7 Alter \u2212 161 (Frauen) oder +5 (M\u00e4nner).<\/p>\n  <p>Aber die Aktualisierung h\u00f6rt hier auf. Mifflin (1990) korrigiert Harris-Benedict (1919) bei der mittleren Genauigkeit marginal, erbt aber denselben konzeptionellen Fehler: <strong>die Formel ber\u00fccksichtigt nur das Gewicht. Nicht das K\u00f6rperfett. Nicht die Magermasse.<\/strong><\/p>\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  <p>Frankenfield 2013 (PubMed 23631843) hat Mifflin-St Jeor mit der indirekten Referenzkalorimetrie an adip\u00f6sen und nicht adip\u00f6sen Kohorten verglichen. Ergebnis: 87&nbsp;% Genauigkeit bei Nicht-Adip\u00f6sen und nur <strong>75&nbsp;% bei Adip\u00f6sen<\/strong>. Eine neuere Studie (PMC11820646) zeigt, dass Mifflin bei einem BMI \u00fcber 35 um <strong>250 bis 315&nbsp;kcal pro Tag<\/strong>danebenliegt. Das ist das \u00c4quivalent eines ganzen Snacks in der Berechnung eines Defizits.<\/p>\n\n  <p>500&nbsp;kcal, das ist nicht nichts. Wenn Yazio 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). Yazio 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, kann das Ergebnis nicht individualisiert sein. Das ist mathematisch unm\u00f6glich.<\/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\">Das Aktivit\u00e4tsniveau, ein f\u00fcr alle Mal gew\u00e4hlt<\/h2>\n  <p>Hier wird es ernst. Und das ist wahrscheinlich der Punkt, den dir niemand erkl\u00e4rt hat.<\/p>\n  <p>Sobald Yazio deinen BMR (ohne K\u00f6rperfett) 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> : der Verbrauch durch Schritte, Alltagsaktivit\u00e4ten, Sport und Verdauung. Alles, was nicht Grundumsatz ist.<\/p>\n  <p>Wie macht Yazio das? Es bittet dich, ein einziges Mal bei der Anmeldung, eines von 5 K\u00e4stchen anzukreuzen, das allein deinen Lebensstil zusammenfasst. Diese 5 K\u00e4stchen hei\u00dfen in der Sportwissenschaft <strong>PAL-Stufen<\/strong> (Physical Activity Level), das ist nur ein Multiplikator, der auf deinen BMR angewendet wird:<\/p>\n  <ul>\n    <li>Sitzend (PAL 1,2): B\u00fcro, wenig Gehen<\/li>\n    <li>Geringe Aktivit\u00e4t (PAL 1,375): gelegentliches Gehen<\/li>\n    <li>Moderate Aktivit\u00e4t (PAL 1,55): Sport 3- bis 5-mal pro Woche<\/li>\n    <li>Aktiv (PAL 1,725): fast t\u00e4glich intensiver Sport<\/li>\n    <li>Sehr aktiv (PAL 1,9): sehr intensiver Sport oder k\u00f6rperliche Arbeit<\/li>\n  <\/ul>\n  <p>Und je nach deiner Wahl multipliziert es deinen BMR mit dem zugeh\u00f6rigen Koeffizienten. 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 die stille Falle: 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>. Keines der 5 K\u00e4stchen erfasst das.<\/p>\n  <p>Yazio synchronisiert gut mit Apple Health und Google Health Connect und erfasst deine Schritte. Aber diese Schritte speisen den Bereich \u201eAktivit\u00e4ten\/Verbrannt\u201c, nicht die Neuberechnung des TDEE. Dein t\u00e4gliches Kalorienziel bleibt auf dem beim Onboarding gew\u00e4hlten PAL-K\u00e4stchen basiert.<\/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 Yazio\"><\/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 Yazio anzeigte (2.400&nbsp;kcal fest, PAL moderat \u00d7 BMR). 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 5 richtig sein wird. Und deshalb gibt dir Yazio einen TDEE, der systematisch von der Realit\u00e4t abgekoppelt ist.<\/p>\n  <p>Der Kernpunkt dieses Artikels: selbst wenn Yazio eine perfekte BMR-Formel h\u00e4tte (was nicht der Fall ist), w\u00fcrde der statische PAL 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 BMR-Formel ohne K\u00f6rperfett plus eine statische PAL-N\u00e4herung der anderen Verbrauchsposten, das ergibt sehr geringe Chancen, deine Ziele \u00fcber 3 bis 6 Monate 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-yazio\" 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-yazio\" 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 metabolische Anpassung, nie modelliert<\/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. Die wissenschaftliche Literatur ist eindeutig und reproduzierbar: M\u00fcller 2015 (PubMed 26399868, Minnesota-Reanalyse), Doucet 2001 (PubMed 11430776), Nunes 2020 (PMC7484122) \u00fcber 6 Wochen Defizit. Hier die Zahlen:<\/p>\n  <ul>\n    <li>Defizit von &minus;250&nbsp;kcal pro Tag \u00fcber 2 bis 8 Wochen: Anpassung von <strong>5 bis 10&nbsp;%<\/strong> (TDEE sinkt auf 90-95&nbsp;% des Ausgangsniveaus)<\/li>\n    <li>Defizit von &minus;500&nbsp;kcal pro Tag: <strong>10 bis 15&nbsp;%<\/strong> Anpassung (TDEE sinkt auf 85-90&nbsp;%)<\/li>\n    <li>Defizit von &minus;750&nbsp;kcal pro Tag: <strong>15 bis 25&nbsp;%<\/strong> Anpassung (TDEE sinkt auf 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-Konvention: 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% Anpassung. Und da NEAT, EAT und TEF alle direkt vom BMR abh\u00e4ngen, ist fast der ganze 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 Yazio\"><\/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 Yazio-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>Yazio 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>Yazio hat geschafft, was MyFitnessPal verpasst hat: eine klare Oberfl\u00e4che, ohne Werbel\u00e4rm, und eine wirklich nutzbare Gratisversion. Das Design hat sich bewegt, die Wissenschaft nicht: unter der Haube findet man Harris-Benedict und ein bei der Anmeldung gew\u00e4hltes Aktivit\u00e4tsniveau. Lean hat genau dort investiert, wo Yazio sich nicht bewegt hat: in die Berechnung jeder TDEE-Komponente (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) plus die metabolische Anpassung. So geht das.<\/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\">Der BMR auf echtem K\u00f6rperfett<\/div>\n      <h3>Patentiertes propriet\u00e4res Modell, auf Basis der Magermasse<\/h3>\n      <p>Yazio berechnet deinen Stoffwechsel aus deinem Gewicht, deiner Gr\u00f6\u00dfe und deinem Alter. Lean geht von deiner <strong>Magermasse<\/strong>aus, weil sie es ist, die in Ruhe verbrennt: zwei Personen mit 80&nbsp;kg, eine mit 12&nbsp;% K\u00f6rperfett und die andere mit 30&nbsp;%, haben nicht denselben Stoffwechsel. Blieb, dieses K\u00f6rperfett ohne DEXA zu messen.<\/p>\n      <p>Der <strong>KI-BodyScan<\/strong> macht das mit einem Foto, \u00fcber ein Modell, das auf einer Bank von DEXA-Scans trainiert wurde. Ergebnis in wenigen Sekunden, jede Woche zu wiederholen, mit automatischer Neuberechnung des Stoffwechsels dahinter.<\/p>\n      <p>Keine Hautfaltenzange, keine hydratationsempfindliche Impedanzwaage, kein DEXA in der Klinik. Ein w\u00f6chentliches Foto.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Kein Aktivit\u00e4tskoeffizient<\/div>\n      <h3>NEAT, EAT, TEF getrennt berechnet<\/h3>\n      <p><strong>NEAT.<\/strong> Deine echten Schritte kommen von HealthKit (iOS) oder Google Fit (Android). Das \u201eAktivit\u00e4tsniveau\u201c, das Yazio bei der Anmeldung abfragt, \u00e4ndert sich nicht am Montag, an dem du 15.000 Schritte machst, und am Sonntag, an dem du das Sofa nicht verl\u00e4sst. Lean liest die Daten, statt sie anzunehmen.<\/p>\n      <p><strong>EAT.<\/strong> Jede Einheit wird \u00fcber MET auf deiner echten Belastungszeit berechnet. Eine Stunde Krafttraining, Pausen eingeschlossen, ist nicht eine Stunde Dauerlauf wert: der Unterschied z\u00e4hlt in Hunderten kcal pro Woche.<\/p>\n      <p><strong>TEF.<\/strong> Die Verdauungskosten h\u00e4ngen von deinen Makros ab: 20 bis 30&nbsp;% bei Proteinen, 5 bis 10&nbsp;% bei Kohlenhydraten, 1 bis 3&nbsp;% bei Fetten. Lean berechnet sie auf dem, was du wirklich gegessen hast, statt eine Pauschale von 10&nbsp;% anzuwenden.<\/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\">Automatische metabolische Anpassung<\/div>\n      <h3>Eine Weltpremiere in einer Verbraucher-App<\/h3>\n      <p><strong>Die metabolische Anpassung.<\/strong> Nach einigen Wochen Defizit verlangsamt sich dein Stoffwechsel. Yazio zeigt in Woche 8 dasselbe Kalorienziel wie am ersten Tag: Lean senkt den TDEE nach den ver\u00f6ffentlichten Spannen (M\u00fcller 2015, Doucet 2001).<\/p>\n      <p>Ab 10 bis 15&nbsp;% Anpassung kann die App eine R\u00fcckkehr zur Erhaltung empfehlen, um den Stoffwechsel wieder anzukurbeln, bevor es zur\u00fcck ins Defizit geht.<\/p>\n      <p>Kein Aktivit\u00e4tsniveau zum Ankreuzen. Jede Komponente wird gemessen, 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 gegen Yazio, 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:#FFF1ED;border:1.5px solid #FF5252;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\/logo-yazio-real.webp\" alt=\"Yazio\" 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:#FF5252;letter-spacing:-0.2px\">Yazio<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Vergleich Lean gegen\u00fcber Yazio\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Kriterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Yazio<\/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 1990, kein K\u00f6rperfett<\/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> Jeden Tag 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 statischen PAL 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> Mit NEAT in \u201eAktivit\u00e4ten\/Verbrannt\u201c vermischt<\/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, starres Aktivit\u00e4tsniveau (5 K\u00e4stchen, 1,2 bis 1,9)<\/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 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, seit Juni 2025 verf\u00fcgbar<\/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 ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4 Mio.+ Eintr\u00e4ge, starke EU\/DE-Abdeckung<\/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 class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Intervallfasten<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Au\u00dferhalb des Umfangs<\/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> 20 Tracker, 16:8 kostenlos, PRO-Programme<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Gef\u00fchrte Rezepte<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Au\u00dferhalb des Umfangs<\/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> 3.000+ Rezepte<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-Abdeckung und Lokalisierung<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> EU-Marktf\u00fchrer, 20 Sprachen, stark in DE\/AT\/CH<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Reputation und Gr\u00f6\u00dfe des Publikums<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,7\/5, 10.000+ Nutzer, junge franz\u00f6sische App<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,6\/5, 100 Mio. Nutzer, gegr\u00fcndet 2014<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Gesch\u00e4ftsmodell<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, 7 Tage kostenlos testen beim Jahresabo<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Freemium, PRO im Test<\/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>Yazio hat vor vielen verstanden, dass Bedienkomfort Adh\u00e4renz schafft. Lean treibt dieselbe Logik beim Tracking voran: drei Erfassungsmethoden, damit kein Kontext zum Grund f\u00fcrs Aufgeben wird.<\/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 \u00fcbernimmt, wenn weder Datenbank noch Barcode reichen: ein hausgemachtes Gericht, ein Teller im Restaurant. Ein Foto, und es ist erfasst.<\/p>\n  <p>\u00dcber die Mahlzeit hinaus zeigt Lean einen TDEE, der sich im Laufe des Tages bewegt: deine Schritte lassen dein Kalorienziel live steigen, wo ein bei der Anmeldung gew\u00e4hlter Aktivit\u00e4tskoeffizient jeden Tag gleich bleibt.<\/p>\n  <p>Und um Priorit\u00e4ten zu setzen, die Fortschrittspyramide:<\/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=\"yazio-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Ehrlichkeit<\/span><\/div>\n  <h2 id=\"yazio-better\">Was Yazio besser macht<\/h2>\n  <p>Lean ist nicht perfekt, und Yazio hat mehrere echte St\u00e4rken, die man anerkennen muss. Ehrliche Lekt\u00fcre, Kriterium f\u00fcr Kriterium, auf den Achsen, wo Yazio vorn bleibt.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Yazio gegen\u00fcber 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\/logo-yazio-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Yazio<\/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\">Integriertes Intervallfasten<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><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:45%\"><\/i><\/div><div class=\"v\">4,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Gef\u00fchrte Rezepte<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><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:15%\"><\/i><\/div><div class=\"v\">1,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">EU-Abdeckung und Lokalisierung<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><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:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Gr\u00f6\u00dfe des Publikums und Bewertungen<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><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:30%\"><\/i><\/div><div class=\"v\">3,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Ehrliche Lekt\u00fcre.<\/strong> Beim Intervallfasten ist Yazio die Referenz des Massenmarkts: 20 Tracker, 16:8 kostenlos, gef\u00fchrte Programme in PRO. Lean hindert dich absolut nicht daran, 16:8 oder jedes andere Essensfenster-Protokoll zu praktizieren, die App dreht sich nur nicht darum. Bei Rezepten sind 3.000+ intern erstellte Eintr\u00e4ge mit Wochenplanung ein Standard, den Yazio dominiert. Bei EU-Abdeckung und Lokalisierung ist Lean auch solide (Franz\u00f6sisch, Englisch, Spanisch, Portugiesisch, Italienisch, Deutsch, Polnisch, Ungarisch), Yazio bleibt st\u00e4rker in DE\/AT\/CH und hat 12 Jahre Vorsprung bei der europ\u00e4ischen Bekanntheit.<\/p>\n  <p>Wenn dein Hauptthema strukturiertes Fasten oder die Vermittlung von Essensfenstern ist, ist Yazio relevanter als Lean. Wenn dein Thema die Genauigkeit der <a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/tdee-calculator\/\">TDEE-Berechnung<\/a>, das jede Woche gemessene K\u00f6rperfett und die automatische metabolische Anpassung sind, ist das genau das, was in den 3 vorherigen Abschnitten gezeigt wurde.<\/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 Yazio ernsthaft genutzt 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) und erkl\u00e4rt die Anpassung separat, 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>Yazio kann reichen f\u00fcr<\/strong>&nbsp;: strukturiertes Intervallfasten, gef\u00fchrte Rezepte oder ein einfaches Tracking, ohne in die TDEE-Wissenschaft einzutauchen. Die genaue Kalorienberechnung geh\u00f6rt einfach nicht zu seinem Versprechen.<\/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 3 Minuten von Yazio 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>Du gibst 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 auf echtem K\u00f6rperfett, NEAT \u00fcber HealthKit \/ Google Fit (echte Schritte), EAT \u00fcber MET, TEF nach Makros, plus die metabolische Anpassung, die den BMR moduliert. Automatisch.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Tracke eine Mahlzeit<\/h4><p>Foto, Barcode oder Datenbank. Du verstehst den Ablauf.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Wichtiger Hinweis.<\/strong> Lean importiert deine Yazio-Rezepte nicht automatisch. Wenn du deine Lieblingsgerichte \u00fcbernehmen willst, kannst du sie manuell als Lean-Favorit neu anlegen. Die Synchronisation HealthKit \/ Google Health Connect \u00fcbernimmt dagegen sofort deine Schritte und deinen Aktivit\u00e4tsverlauf.<\/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-yazio\" 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-yazio\" 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 Yazio 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>Yazio nutzt Mifflin-St Jeor, das ist modern, warum kritisierst du das?<\/summary><div class=\"ans\">Mifflin-St Jeor (1990) korrigiert Harris-Benedict (1919) marginal, erbt aber denselben konzeptionellen Fehler: kein K\u00f6rperfett als Eingabe. Frankenfield 2013 (PubMed 23631843) misst 75&nbsp;% Genauigkeit bei Adip\u00f6sen gegen\u00fcber 87&nbsp;% bei Nicht-Adip\u00f6sen. Ist dein K\u00f6rperfett hoch, kann der Fehler bei deinem BMR 250 bis 315&nbsp;kcal pro Tag \u00fcbersteigen.<\/div><\/details>\n    <details><summary>Yazio ist sehr gut bewertet (4,6) und hat 100&nbsp;Mio. Nutzer, wie kann es schlecht sein?<\/summary><div class=\"ans\">Yazio ist exzellent bei der Nutzererfahrung, beim Intervallfasten und bei der Bibliothek gef\u00fchrter Rezepte. Was wir hier infrage stellen, ist allein die Genauigkeit der TDEE-Berechnung, die der Kern des Versprechens \u201eKalorientracker\u201c ist. Ein gro\u00dfes Publikum best\u00e4tigt die Qualit\u00e4t des Massenprodukts, es best\u00e4tigt nicht die wissenschaftliche Genauigkeit der Formel.<\/div><\/details>\n    <details><summary>Und Intervallfasten in Lean?<\/summary><div class=\"ans\">Nicht nativ. Lean bietet weder einen 16:8-Timer noch ein gef\u00fchrtes Fastenprogramm. Wenn das dein Hauptthema ist, ist Yazio relevanter. Lean ist f\u00fcr die TDEE-Berechnung und die K\u00f6rperrekomposition gemacht, nicht um Essensfenster zu strukturieren.<\/div><\/details>\n    <details><summary>Yazio synchronisiert mit Apple Health und Google Fit, reicht das nicht f\u00fcr das NEAT?<\/summary><div class=\"ans\">Yazio erfasst Schritte und Aktivit\u00e4t \u00fcber HealthKit \/ Google Fit, nutzt sie aber f\u00fcr den Bereich \u201eAktivit\u00e4ten\u201c und die Sch\u00e4tzung der beim Sport verbrannten Kalorien, nicht um deinen TDEE kontinuierlich neu zu berechnen. Der bei der Anmeldung gew\u00e4hlte PAL (1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9) bleibt die Basis der Berechnung. Lean dagegen setzt dein NEAT jeden Tag aus echten Schritten neu zusammen.<\/div><\/details>\n    <details><summary>Ist Lean Freemium oder kostenpflichtig?<\/summary><div class=\"ans\">Lean ist Premium, mit 7 Tagen kostenloser Testphase beim Jahresabo. Du l\u00e4dst herunter, testest KI-BodyScan, KI-Fotoscan eines Gerichts, TDEE-Rekomposition, unverbindlich. Passt das Tool zu deinem Ziel, machst du weiter. Sonst deaktivierst du die Verl\u00e4ngerung vor Ende der Testphase.<\/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\">1990 gegen 2026<\/h2>\n  <p>Das ist nicht Yazio gegen Lean im Marketing. Das ist 1990 gegen 2026 in der Wissenschaft.<\/p>\n  <p>Yazio nutzt Mifflin-St Jeor, eine 1990 ver\u00f6ffentlichte Formel, plus ein starres Aktivit\u00e4tsniveau, das du bei der Anmeldung ein einziges Mal ankreuzt (eines der 5 PAL-K\u00e4stchen: 1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9), und ignoriert die metabolische Anpassung. Die Kombination der drei macht jedes genaue Tracking \u00fcber ein paar Wochen hinaus 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>, plus die metabolische Anpassung, die den BMR Woche f\u00fcr Woche moduliert. Jede Komponente genau berechnet, ohne magischen Koeffizienten.<\/p>\n  <p>Yazio bleibt sehr solide beim Intervallfasten und bei der Rezeptbibliothek. Wenn du Yazio ernsthaft ausprobiert hast und bei deinem Cut 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-yazio\" 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-yazio\" 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 23. Mai 2026. Regelm\u00e4\u00dfig aktualisiert mit Nutzerfeedback und neuen relevanten Studien. 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Lean berechnet deinen TDEE laufend neu.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Yazio Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Yazio. Le tracker calorique le plus aim\u00e9 d&rsquo;Europe face au seul qui recompose ton TDEE en continu. Yazio compte. Lean calcule. La diff\u00e9rence se voit apr\u00e8s 6 semaines. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 21 mai [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1364,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs Yazio: Wer berechnet deinen Verbrauch wirklich? - Lean<\/title>\n<meta name=\"description\" content=\"Yazio nutzt Mifflin-St Jeor 1990 + 5 statische PAL-K\u00e4stchen. Lean berechnet BMR + NEAT + EAT + TEF + Anpassung auf deinem echten K\u00f6rperfett neu. 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