{"id":1352,"date":"2026-05-23T13:43:16","date_gmt":"2026-05-23T13:43:16","guid":{"rendered":"https:\/\/lean-app.com\/?p=1352"},"modified":"2026-09-05T10:53:39","modified_gmt":"2026-09-05T10:53:39","slug":"lean-vs-yazio","status":"publish","type":"post","link":"https:\/\/lean-app.com\/sv\/lean-vs-yazio\/","title":{"rendered":"Lean mot Yazio: vem ber\u00e4knar egentligen din kalorif\u00f6rbrukning 2026?"},"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\/sv\/\" aria-label=\"Accueil Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">TDEE-kalkylator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger sur l'App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"Disponible sur Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/sv\/\">Hem<\/a> &nbsp;\/&nbsp; Lean vs Yazio<\/div>\n  <div class=\"eyebrow\">J\u00e4mf\u00f6relse &middot; Nutrition &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean mot Yazio.\n    <span class=\"alt\">Europas mest \u00e4lskade kaloritracker mot den enda som s\u00e4tter ihop din TDEE p\u00e5 nytt kontinuerligt.<\/span>\n  <\/h1>\n  <p class=\"dek\">Yazio r\u00e4knar. Lean ber\u00e4knar. Skillnaden syns efter 6 veckor.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; L\u00e4stid 12&nbsp;min &middot; Uppdaterad 21 maj 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-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\">Gratis nedladdning<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Yazio \u00e4r massiv och utm\u00e4rkt p\u00e5 periodisk fasta och de 3 000+ guidade recepten. Men dess TDEE-formel f\u00f6rblir Mifflin-St Jeor 1990, plus en fastl\u00e5st aktivitetsniv\u00e5 som du kryssar i en enda g\u00e5ng vid registreringen (en av 5 rutor stillasittande\/l\u00e5g\/m\u00e5ttlig\/aktiv\/mycket aktiv). Utan fettprocent, utan metabol anpassning. \u00d6ver 3 m\u00e5naders seri\u00f6s deff v\u00e4xer gapet.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran pour explorer l&rsquo;app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran<br>f\u00f6r att utforska appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tillbaka\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"F\u00f6rbruknings-fliken\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">\u00d6versikt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">D\u00e9pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat\u00e9gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Snabbt svar<\/div>\n    <p>Yazio ber\u00e4knar din TDEE med Mifflin-St Jeor 1990 (utan fettprocent) och en fastl\u00e5st aktivitetsniv\u00e5 som du kryssar i en g\u00e5ng vid registreringen, bland 5 rutor (stillasittande, l\u00e5g, m\u00e5ttlig, aktiv, mycket aktiv). Formeln \u00e4r modernare \u00e4n Harris-Benedict 1919 men \u00e4rver samma fel: ingen fettfri massa, ingen NEAT m\u00e4tt via steg, ingen metabol anpassning. Lean r\u00e4knar om varje komponent (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi f\u00f6rbrukad i vila. Hos Lean ber\u00e4knad p\u00e5 den verkliga fettfria massan via AI BodyScan.<\/span><\/span> p\u00e5 verklig fettprocent via en patenterad egenutvecklad modell, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. F\u00f6rbrukning kopplad till steg och vardagsaktiviteter utanf\u00f6r tr\u00e4ning.<\/span><\/span> per steg, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. F\u00f6rbrukning kopplad till dina tr\u00e4ningspass, ber\u00e4knad via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi som g\u00e5r \u00e5t till matsm\u00e4ltningen. Beror p\u00e5 intagna makron.<\/span><\/span> per makron) och modulerar BMR med den metabola anpassningen kontinuerligt, utan koefficient att v\u00e4lja.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; L\u00e4get<\/span><\/div>\n  <h2 id=\"constat\">Yazio f\u00f6ljer dig i 100 dagar, tills din kropp anpassar sig<\/h2>\n  <p>L\u00e4ser du det h\u00e4r har du f\u00f6rmodligen redan installerat Yazio. Du har angett din vikt, l\u00e4ngd, \u00e5lder, k\u00f6n. Appen bad dig kryssa i din aktivitetsniv\u00e5 i en lista med 5 rutor (stillasittande, l\u00e5g, m\u00e5ttlig, aktiv, mycket aktiv). Den visade dig ett kalorim\u00e5l, s\u00e4g 2&nbsp;250&nbsp;kcal f\u00f6r att g\u00e5 ner i vikt. Du f\u00f6ljde det religi\u00f6st. Du anv\u00e4nde 16:8, du lagade de guidade recepten, du skannade dina streckkoder.<\/p>\n  <p>De f\u00f6rsta 6 veckorna fungerar det. Du g\u00e5r ner. Du \u00e4r n\u00f6jd. Sedan runt vecka 8 stelnar v\u00e5gen. Du t\u00e4nker: \u00ab&nbsp;jag m\u00e5ste ha slappnat av, jag m\u00e5ste ha loggat fel&nbsp;\u00bb. Du drar \u00e5t. Du g\u00e5r ner till 2&nbsp;000&nbsp;kcal. Igen, ingenting r\u00f6r sig.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 till &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">uppm\u00e4tt s\u00e4nkning av TDEE efter 4 till 6 veckor i underskott p\u00e5 &minus;500&nbsp;kcal\/dag. Yazio uppt\u00e4cker det inte. Ditt kalorim\u00e5l f\u00f6rblir fastl\u00e5st p\u00e5 ditt val fr\u00e5n 100&nbsp;dagar sedan.<\/div>\n  <\/div>\n\n  <p>T\u00e4nk dig att Yazio visar dig en TDEE p\u00e5 2&nbsp;500&nbsp;kcal. Du \u00e4ter 2&nbsp;250 (teoretiskt underskott p\u00e5 250&nbsp;kcal). Men i verkligheten har din <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">TDEE har sjunkit till 2&nbsp;200&nbsp;kcal<\/a> p\u00e5 grund av den metabola anpassningen. Du ligger p\u00e5 ett \u00f6verskott p\u00e5 50&nbsp;kcal utan att veta om det. Ingen chans att forts\u00e4tta g\u00e5 ner.<\/p>\n  <p>D\u00e4rf\u00f6r \u00e4r det avg\u00f6rande att <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/comment-compter-ses-calories\/\">ber\u00e4kna din f\u00f6rbrukning perfekt<\/a>, och r\u00e4kna om den kontinuerligt. Och det \u00e4r precis d\u00e4r Yazio, som de flesta konsumenttrackers, f\u00f6rblir fastl\u00e5st p\u00e5 den ursprungliga uppskattningen.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem 1<\/span><\/div>\n  <h2 id=\"p1\">BMR-formeln fr\u00e5n 1990, utan fettprocent<\/h2>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1 &middot; Man 1,80&nbsp;m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Comparaison BMR Mifflin-St Jeor 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Uppskattad BMR.<\/strong> Leans patenterade egenutvecklade modell tar h\u00e4nsyn till den fettfria massan. Mifflin-St Jeor (Yazio) g\u00f6r det inte. Skillnad p\u00e5 500&nbsp;kcal, motsvarande en hel lunch.<\/p>\n  <\/div>\n\n  <p>F\u00f6r att ber\u00e4kna din basalmetabolism (BMR, energin du f\u00f6rbr\u00e4nner i vila) anv\u00e4nder Yazio Mifflin-St Jeor-ekvationen. Det \u00e4r den kanoniska formeln i de flesta konsumentinriktade kaloritrackers, och vi m\u00e5ste vara \u00e4rliga: den \u00e4r b\u00e4ttre \u00e4n Harris-Benedict 1919 som andra appar fortfarande anv\u00e4nder.<\/p>\n  <p>Mifflin-St Jeor \u00e4r fr\u00e5n 1990. Urvalet \u00e4r st\u00f6rre (498 f\u00f6rs\u00f6kspersoner), metoden med indirekt kalorimetri \u00e4r mer exakt, formeln \u00e4r kalibrerad p\u00e5 en modernare population. Yazio anv\u00e4nder den officiella formeln: 10 \u00d7 vikt (kg) + 6,25 \u00d7 l\u00e4ngd (cm) \u2212 5 \u00d7 \u00e5lder \u2212 161 (kvinnor) eller +5 (m\u00e4n).<\/p>\n  <p>Men uppdateringen stannar d\u00e4r. Mifflin (1990) r\u00e4ttar marginellt Harris-Benedict (1919) p\u00e5 genomsnittlig precision, men \u00e4rver samma konceptuella fel: <strong>formeln tar bara h\u00e4nsyn till vikten. Inte fettprocenten. Inte den fettfria massan.<\/strong><\/p>\n  <p>Men sedan 1980-talet vet vi att <strong>fettmassan f\u00f6rbrukar v\u00e4ldigt lite energi<\/strong> j\u00e4mf\u00f6rt med resten av kroppen. Levern, hj\u00e4rnan, hj\u00e4rtat, njurarna och framf\u00f6r allt musklerna \u00e4r de verkliga f\u00f6rbrukningsposterna. Fettmassan \u00e4r inert. En person med 30&nbsp;% fettprocent f\u00f6rbr\u00e4nner inte alls lika mycket som en person med 10&nbsp;% fettprocent, ens vid samma vikt.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) j\u00e4mf\u00f6rde Mifflin-St Jeor med referensmetoden indirekt kalorimetri p\u00e5 kohorter med och utan fetma. Resultat: 87&nbsp;% precision hos dem utan fetma, och bara <strong>75&nbsp;% hos dem med fetma<\/strong>. En nyare studie (PMC11820646) visar att vid BMI \u00f6ver 35 har Mifflin fel med <strong>250 till 315&nbsp;kcal per dag<\/strong>. Det motsvarar ett helt mellanm\u00e5l i ber\u00e4kningen av ett underskott.<\/p>\n\n  <p>500&nbsp;kcal \u00e4r inte ingenting. Om Yazio s\u00e4ger \u00ab&nbsp;din BMR \u00e4r 2&nbsp;500&nbsp;\u00bb och den i verkligheten \u00e4r 2&nbsp;000, \u00e4r allt som f\u00f6ljer fel.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Bodyfat r\u00e9el<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">i skillnad mellan tv\u00e5 m\u00e4n p\u00e5 80&nbsp;kg, den ena med 10&nbsp;% fettprocent (BMR 1&nbsp;900), den andra med 30&nbsp;% (BMR 1&nbsp;500). Yazio ger dem samma siffra.<\/div>\n  <\/div>\n\n  <p>Delslutsats: om en app ber\u00e4knar din BMR enbart utifr\u00e5n din vikt, l\u00e4ngd, \u00e5lder och k\u00f6n kan resultatet inte individualiseras. Det \u00e4r matematiskt om\u00f6jligt.<\/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\">Aktivitetsniv\u00e5n, vald en g\u00e5ng f\u00f6r alla<\/h2>\n  <p>H\u00e4r blir det allvarligt. Och det \u00e4r f\u00f6rmodligen punkten ingen har f\u00f6rklarat f\u00f6r dig.<\/p>\n  <p>N\u00e4r Yazio har ber\u00e4knat din BMR (utan fettprocent) m\u00e5ste den uppskatta din totala TDEE. <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">TDEE \u00e4r BMR + allt det andra<\/a> : f\u00f6rbrukningen kopplad till steg, vardagsaktiviteter, tr\u00e4ning och matsm\u00e4ltning. Allt som inte \u00e4r basalmetabolism.<\/p>\n  <p>Hur g\u00f6r Yazio det&nbsp;? Den ber dig, en enda g\u00e5ng vid registreringen, att kryssa i en av 5 rutor som ensam ska sammanfatta din livsstil. Dessa 5 rutor kallas inom idrottsvetenskapen <strong>PAL-niv\u00e5er<\/strong> (Physical Activity Level), det \u00e4r bara en multiplikator applicerad p\u00e5 din BMR:<\/p>\n  <ul>\n    <li>Stillasittande (PAL 1,2): kontor, lite promenad<\/li>\n    <li>L\u00e5g aktivitet (PAL 1,375): sporadisk promenad<\/li>\n    <li>M\u00e5ttlig aktivitet (PAL 1,55): tr\u00e4ning 3 till 5 g\u00e5nger i veckan<\/li>\n    <li>Aktiv (PAL 1,725): intensiv tr\u00e4ning n\u00e4stan dagligen<\/li>\n    <li>Mycket aktiv (PAL 1,9): mycket intensiv tr\u00e4ning eller fysiskt arbete<\/li>\n  <\/ul>\n  <p>Och beroende p\u00e5 ditt val multiplicerar den din BMR med den tillh\u00f6rande koefficienten. Det \u00e4r allt. Det \u00e4r allt som ligger bakom ditt dagliga kalorim\u00e5l. En ruta som DU kryssade i en enda g\u00e5ng vid registreringen. Ofta f\u00f6r sex m\u00e5nader sedan. Of\u00f6r\u00e4ndrad sedan dess.<\/p>\n  <p>Och h\u00e4r \u00e4r den tysta f\u00e4llan: den h\u00e4r approximationen \u00e4r <strong>extremt ofullkomlig<\/strong>. Skillnaden mellan en dag d\u00e5 du sitter klistrad i soffan framf\u00f6r Netflix och en dag d\u00e5 du \u00e5ker till Disneyland med barnen och g\u00e5r 15&nbsp;km, <strong>det \u00e4r \u00f6ver 1&nbsp;000&nbsp;kcal<\/strong>. Ingen av de 5 rutorna f\u00e5ngar det.<\/p>\n  <p>Yazio synkar bra med Apple H\u00e4lsa och Google Health Connect, och f\u00e5ngar dina steg. Men dessa steg matar sektionen \u00ab&nbsp;Activities\/Burned&nbsp;\u00bb, inte omr\u00e4kningen av TDEE. Ditt dagliga kalorim\u00e5l baseras fortfarande p\u00e5 PAL-rutan du valde vid onboardingen.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 verkliga dagar<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon Yazio\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Verklig f\u00f6rbrukning<\/strong> uppm\u00e4tt under 7&nbsp;dagar f\u00f6r en Lean-anv\u00e4ndare. Den gr\u00e5 linjen \u00e4r det Yazio visade (2&nbsp;400&nbsp;kcal fast, m\u00e5ttlig PAL \u00d7 BMR). De rosa noteringarna visar varf\u00f6r varje dag r\u00f6r sig.<\/p>\n  <\/div>\n\n  <p>Du kan inte reducera din aktivitetsniv\u00e5 till en statisk ruta. Du \u00e4r kanske aktiv de veckor du jobbar lite hemifr\u00e5n, och stillasittande de veckor du inte l\u00e4mnar kontoret. Du \u00e4r kanske aktiv p\u00e5 sommaren och stillasittande p\u00e5 vintern. Du \u00e4r kanske aktiv tisdag till fredag och stillasittande p\u00e5 helgen.<\/p>\n  <p>Vilken ruta ska du kryssa i den h\u00e4r veckan? Sanningen \u00e4r att ingen av de 5 kommer att vara r\u00e4tt. Och d\u00e4rmed ger Yazio dig en TDEE som systematiskt \u00e4r frikopplad fr\u00e5n verkligheten.<\/p>\n  <p>Nyckelpo\u00e4ngen i den h\u00e4r artikeln: \u00e4ven om Yazio hade en perfekt BMR-formel (vilket den inte har) skulle den statiska PAL:en r\u00e4cka f\u00f6r att f\u00f6rst\u00f6ra allt. Du kan inte uppskatta en <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT<\/a>, en EAT och en <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF<\/a> med en enda multiplikator applicerad p\u00e5 BMR. Det \u00e4r begreppsm\u00e4ssigt absurt.<\/p>\n  <p>Du har f\u00f6rst\u00e5tt: <strong>en BMR-formel utan fettprocent, plus en statisk PAL-approximation av de andra f\u00f6rbrukningsposterna, ger mycket sm\u00e5 chanser att n\u00e5 dina m\u00e5l \u00f6ver 3 till 6 m\u00e5nader.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Se din verkliga TDEE, uppdelad i BMR + NEAT + EAT + TEF. Gratis nedladdning.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-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\">Den metabola anpassningen, aldrig modellerad<\/h2>\n  <p>Det h\u00e4r \u00e4r slutbossen. Det finaste begreppet. Och f\u00f6rmodligen det viktigaste.<\/p>\n  <p>N\u00e4r du \u00e4r i kaloriunderskott f\u00f6rst\u00e5r din kropp att den f\u00e5r mindre energi \u00e4n f\u00f6rut. F\u00f6r att skydda sig g\u00e5r den in i sparl\u00e4ge. Precis som energisparl\u00e4get p\u00e5 din iPhone: allt forts\u00e4tter att fungera, men med mindre energi. Din BMR sjunker. Din NEAT sjunker. Din EAT sjunker.<\/p>\n  <p>Det \u00e4r det som kallas metabol anpassning. Den vetenskapliga litteraturen \u00e4r tydlig och reproducerbar: M\u00fcller 2015 (PubMed 26399868, ny genomg\u00e5ng av Minnesota), Doucet 2001 (PubMed 11430776), Nunes 2020 (PMC7484122) \u00f6ver 6 veckor i underskott. H\u00e4r \u00e4r siffrorna:<\/p>\n  <ul>\n    <li>Underskott p\u00e5 &minus;250&nbsp;kcal per dag, under 2 till 8 veckor: anpassning p\u00e5 <strong>5 till 10&nbsp;%<\/strong> (TDEE sjunker till 90-95&nbsp;% av utg\u00e5ngsniv\u00e5n)<\/li>\n    <li>Underskott p\u00e5 &minus;500&nbsp;kcal per dag: <strong>10 till 15&nbsp;%<\/strong> anpassning (TDEE sjunker till 85-90&nbsp;%)<\/li>\n    <li>Underskott p\u00e5 &minus;750&nbsp;kcal per dag: <strong>15 till 25&nbsp;%<\/strong> anpassning (TDEE sjunker till 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-konvention: 100&nbsp;% = optimalt, 90&nbsp;% = 10&nbsp;% anpassning. Och eftersom NEAT, EAT och TEF alla beror direkt p\u00e5 BMR p\u00e5verkas n\u00e4stan hela TDEE:n.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 veckor i underskott<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon Yazio\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Verklig TDEE<\/strong> under 8 veckor i underskott p\u00e5 &minus;500&nbsp;kcal\/dag. Den rosa kurvan sjunker. Yazio-linjen f\u00f6rblir platt. I vecka 6 \u00e4r du redan p\u00e5 underh\u00e5ll. Utan att ha \u00e4ndrat n\u00e5got.<\/p>\n  <\/div>\n\n  <p>Konkret: om du hade planerat ett underskott p\u00e5 10&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;500 (allts\u00e5 \u00e4ta 2&nbsp;250 per dag), och din kropp anpassar sig med 10&nbsp;%, \u00e4r din verkliga TDEE nu 2&nbsp;250. Du \u00e4r p\u00e5 underh\u00e5ll. Du g\u00e5r inte ner l\u00e4ngre.<\/p>\n  <p>F\u00e4llan \u00e4r att det \u00e4r smygande. I b\u00f6rjan g\u00e5r du ner. Du \u00e4r n\u00f6jd. Du forts\u00e4tter. Men vecka efter vecka ackumuleras anpassningen. Och vid n\u00e5got tillf\u00e4lle, utan att ha \u00e4ndrat n\u00e5got i din loggning, <strong>slutar du g\u00e5 ner<\/strong>.<\/p>\n  <p>95&nbsp;% av alla g\u00e5r igenom det h\u00e4r utan att f\u00f6rst\u00e5 det. De skyller p\u00e5 sin viljestyrka. De skyller p\u00e5 sin \u00ab&nbsp;trasiga \u00e4mnesoms\u00e4ttning&nbsp;\u00bb. De ger sig p\u00e5 h\u00e5rdare dieter, vilket f\u00f6rv\u00e4rrar anpassningen. Spiral.<\/p>\n  <p>Yazio ber\u00e4knar aldrig den metabola anpassningen. Den ger dig ett fast och statiskt m\u00e5l. N\u00e4r du stagnerar efter 6 veckor har appen ingen aning om varf\u00f6r.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-l\u00f6sningen<\/span><\/div>\n  <h2 id=\"solution\">Hur Lean l\u00f6ser vart och ett av de 3 problemen<\/h2>\n  <p>Yazio har lyckats med det MyFitnessPal misslyckades med&nbsp;: ett tydligt gr\u00e4nssnitt, utan reklambrus, och en gratisversion som faktiskt \u00e4r anv\u00e4ndbar. Designen har utvecklats, vetenskapen inte&nbsp;: under huven hittar vi Harris-Benedict och en aktivitetsniv\u00e5 vald vid registreringen. Lean har investerat precis d\u00e4r Yazio inte har r\u00f6rt sig&nbsp;: ber\u00e4kningen av varje TDEE-komponent (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) plus den metabola anpassningen. S\u00e5 h\u00e4r g\u00f6r vi.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Steg 1<strong>AI BodyScan<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Steg 2<strong>Omr\u00e4knad BMR<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR p\u00e5 verklig fettprocent<\/div>\n      <h3>Patenterad egenutvecklad modell, baserad p\u00e5 fettfri massa<\/h3>\n      <p>Yazio ber\u00e4knar din \u00e4mnesoms\u00e4ttning utifr\u00e5n vikt, l\u00e4ngd och \u00e5lder. Lean utg\u00e5r fr\u00e5n din <strong>masse maigre<\/strong>, eftersom det \u00e4r den som f\u00f6rbr\u00e4nner i vila&nbsp;: tv\u00e5 personer p\u00e5 80&nbsp;kg, den ena med 12&nbsp;% fettprocent och den andra med 30&nbsp;%, har inte samma \u00e4mnesoms\u00e4ttning. \u00c5terstod att m\u00e4ta den fettprocenten utan DEXA.<\/p>\n      <p>Le <strong>AI BodyScan<\/strong> g\u00f6r det med ett foto, via en modell tr\u00e4nad p\u00e5 en bank av DEXA-skanningar. Resultat p\u00e5 n\u00e5gra sekunder, upprepas varje vecka, med automatisk omr\u00e4kning av \u00e4mnesoms\u00e4ttningen bakom.<\/p>\n      <p>Varken kaliper, impedansv\u00e5g som \u00e4r k\u00e4nslig f\u00f6r v\u00e4tskebalans, eller DEXA p\u00e5 klinik. Ett foto i veckan.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Ingen aktivitetskoefficient<\/div>\n      <h3>NEAT, EAT, TEF ber\u00e4knade separat<\/h3>\n      <p><strong>NEAT.<\/strong> Dina verkliga steg h\u00e4mtas fr\u00e5n HealthKit (iOS) eller Google Fit (Android). \u00ab&nbsp;Aktivitetsniv\u00e5n&nbsp;\u00bb Yazio ber dig om vid registreringen \u00e4ndras inte m\u00e5ndagen d\u00e5 du g\u00e5r 15&nbsp;000 steg och s\u00f6ndagen d\u00e5 du inte l\u00e4mnar soffan. Lean l\u00e4ser datan i st\u00e4llet f\u00f6r att anta den.<\/p>\n      <p><strong>EAT.<\/strong> Varje pass ber\u00e4knas per MET p\u00e5 din verkliga anstr\u00e4ngningstid. En timme styrketr\u00e4ning, vilotid inr\u00e4knad, \u00e4r inte detsamma som en timme kontinuerlig l\u00f6pning&nbsp;: skillnaden r\u00e4knas i hundratals kcal per vecka.<\/p>\n      <p><strong>TEF.<\/strong> Matsm\u00e4ltningens kostnad beror p\u00e5 dina makron&nbsp;: 20 till 30&nbsp;% f\u00f6r proteiner, 5 till 10&nbsp;% f\u00f6r kolhydrater, 1 till 3&nbsp;% f\u00f6r fett. Lean ber\u00e4knar det p\u00e5 det du faktiskt har \u00e4tit, i st\u00e4llet f\u00f6r att anv\u00e4nda en schablon p\u00e5 10&nbsp;%.<\/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\">Automatisk metabol anpassning<\/div>\n      <h3>En v\u00e4rldsnyhet i en konsumentapp<\/h3>\n      <p><strong>Den metabola anpassningen.<\/strong> Efter n\u00e5gra veckor i underskott saktar din \u00e4mnesoms\u00e4ttning ner. Yazio visar samma kalorim\u00e5l i vecka 8 som p\u00e5 dag ett&nbsp;: Lean justerar TDEE ned\u00e5t enligt de publicerade intervallen (M\u00fcller 2015, Doucet 2001).<\/p>\n      <p>Efter 10 till 15&nbsp;% anpassning kan appen rekommendera en \u00e5terg\u00e5ng till underh\u00e5ll f\u00f6r att f\u00e5 fart p\u00e5 \u00e4mnesoms\u00e4ttningen igen innan du g\u00e5r in i underskott p\u00e5 nytt.<\/p>\n      <p>Ingen aktivitetsniv\u00e5 att kryssa i. Varje komponent m\u00e4ts, vecka f\u00f6r vecka.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metod<strong>Metabol anpassning<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; J\u00e4mf\u00f6relsetabell<\/span><\/div>\n  <h2 id=\"tab\">Lean mot Yazio, kriterium f\u00f6r kriterium<\/h2>\n  <p>\u00c4rlig l\u00e4sning av styrkor och svagheter hos varje app. Inget kriterium g\u00e4ller pris.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#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=\"J\u00e4mf\u00f6relse Lean mot 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> Patenterad egenutvecklad modell (fettfri massa)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, ingen fettprocent<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tar h\u00e4nsyn till fettprocent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e4tning av fettprocent i appen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (steg, aktivitet utanf\u00f6r tr\u00e4ning)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ber\u00e4knad p\u00e5 verkliga steg varje dag<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Samlad i den statiska PAL:en<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (tr\u00e4ningsf\u00f6rbrukning)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Blandad med NEAT i \u00ab&nbsp;Activities\/Burned&nbsp;\u00bb<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (matsm\u00e4ltning)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ber\u00e4knad utifr\u00e5n makron<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ej ber\u00e4knad<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabol anpassning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatisk, vecka f\u00f6r vecka<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoefficient att v\u00e4lja<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nej, ber\u00e4knad p\u00e5 verkliga data<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ja, fastl\u00e5st aktivitetsniv\u00e5 (5 rutor, 1,2 till 1,9)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoskanning av en matr\u00e4tt<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, obegr\u00e4nsat<\/div>\n      <div class=\"cell\"><span class=\"icn 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, tillg\u00e4nglig sedan juni 2025<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Streckkodsskanning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Livsmedelsdatabas<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, kurerad<\/div>\n      <div class=\"cell\"><span class=\"icn 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> 4M+ poster, stark EU\/DE-t\u00e4ckning<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Rekommendation kaloriunderskott<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Anpassad till den verkliga TDEE:n<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fast uppskattning<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Periodisk fasta<\/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> Utanf\u00f6r omfattning<\/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 trackers, 16:8 gratis, PRO-program<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Guidade recept<\/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> Utanf\u00f6r omfattning<\/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+ recept<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-t\u00e4ckning och lokalisering<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> EU-ledare, 20 spr\u00e5k, stark i DE\/AT\/CH<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Rykte och publikstorlek<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,7\/5, 10&nbsp;000+ anv\u00e4ndare, ung fransk app<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,6\/5, 100M anv\u00e4ndare, grundad 2014<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aff\u00e4rsmodell<\/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 dagars gratis provperiod p\u00e5 \u00e5rsabonnemanget<\/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 p\u00e5 prov<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Loggning<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder f\u00f6r att logga en m\u00e5ltid<\/h2>\n  <p>Yazio f\u00f6rstod f\u00f6re m\u00e5nga andra att ergonomi skapar f\u00f6ljsamhet. Lean driver samma logik vidare p\u00e5 loggningen&nbsp;: tre registreringsmetoder, s\u00e5 att ingen situation blir ett sk\u00e4l att ge upp.<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metod 1<strong>Databas<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metod 2<strong>Streckkod<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metod 3<strong>AI-fotoskanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>S\u00f6kning i databasen.<\/strong> Kurerad bas, USDA + OpenFoodFacts. Inget brus fr\u00e5n anv\u00e4ndare, ingen \u00ab&nbsp;Grillad kyckling&nbsp;\u00bb inlagd 47 g\u00e5nger av 47 olika anv\u00e4ndare med 47 olika v\u00e4rden.<\/li>\n    <li><strong>Streckkodsskanning.<\/strong> Standard. Du skannar ditt pastapaket, du f\u00e5r makrona.<\/li>\n    <li><strong>AI-fotoskanning av en matr\u00e4tt.<\/strong> Du fotograferar din tallrik, AI:n k\u00e4nner igen livsmedlen, du f\u00e5r kalorier och makron per livsmedel.<\/li>\n  <\/ol>\n  <p>AI-fotoskanningen tar \u00f6ver n\u00e4r varken basen eller streckkoden r\u00e4cker&nbsp;: en hemlagad r\u00e4tt, en tallrik p\u00e5 restaurang. Ett foto, och det \u00e4r loggat.<\/p>\n  <p>Ut\u00f6ver m\u00e5ltiden visar Lean en TDEE som r\u00f6r sig under dagen&nbsp;: dina steg f\u00e5r ditt kalorim\u00e5l att stiga direkt, d\u00e4r en aktivitetskoefficient vald vid registreringen f\u00f6rblir identisk varje dag.<\/p>\n  <p>Och f\u00f6r att prioritera, Progressionspyramiden&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leans Progressionspyramid\">\n    <div class=\"level l1\"><span>F\u00f6ljsamhet<\/span><span class=\"k\">Grund<\/span><\/div>\n    <div class=\"level l2\"><span>Kalorim\u00e5l<\/span><span class=\"k\">V\u00e5ning 2<\/span><\/div>\n    <div class=\"level l3\"><span>Steg \/ NEAT<\/span><span class=\"k\">V\u00e5ning 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e4rings\u00e4mnen<\/span><span class=\"k\">Topp<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Hoppa inte \u00f6ver steg. Om du inte \u00e4r regelbunden i loggningen \u00e4r det meningsl\u00f6st att optimera makrona p\u00e5 procenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"yazio-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c4rlighet<\/span><\/div>\n  <h2 id=\"yazio-better\">Det Yazio g\u00f6r b\u00e4ttre<\/h2>\n  <p>Lean \u00e4r inte perfekt, och Yazio har flera verkliga styrkor man m\u00e5ste erk\u00e4nna. \u00c4rlig l\u00e4sning, kriterium f\u00f6r kriterium, p\u00e5 de axlar d\u00e4r Yazio fortfarande leder.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Yazio face \u00e0 Lean sur 4 axes secondaires\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Axel<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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\">Inbyggd periodisk fasta<\/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\">Guidade recept<\/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-t\u00e4ckning och lokalisering<\/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\">Publikstorlek och recensioner<\/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>\u00c4rlig l\u00e4sning.<\/strong> P\u00e5 periodisk fasta \u00e4r Yazio referensen p\u00e5 konsumentmarknaden: 20 trackers, 16:8 gratis, guidade program i PRO. Lean hindrar dig absolut inte fr\u00e5n att praktisera 16:8 eller n\u00e5got annat \u00e4tf\u00f6nsterprotokoll, appen kretsar bara inte kring det. P\u00e5 recept \u00e4r 3 000+ internt skapade poster med veckoplanering en standard Yazio dominerar. P\u00e5 EU-t\u00e4ckning och lokalisering \u00e4r Lean ocks\u00e5 solid (franska, engelska, spanska, portugisiska, italienska, tyska, polska, ungerska), Yazio \u00e4r fortfarande starkare i DE\/AT\/CH och har 12 \u00e5rs f\u00f6rspr\u00e5ng i europeisk k\u00e4nnedom.<\/p>\n  <p>Om din huvudvinkel \u00e4r strukturerad fasta eller pedagogik kring \u00e4tf\u00f6nster \u00e4r Yazio mer relevant \u00e4n Lean. Om din vinkel \u00e4r precisionen i <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">TDEE-ber\u00e4kning<\/a>, fettprocenten m\u00e4tt varje vecka, och den automatiska metabola anpassningen, \u00e4r det precis det som just visats i de 3 f\u00f6reg\u00e5ende avsnitten.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; F\u00f6r vem<\/span><\/div>\n  <h2 id=\"forwho\">Vem Lean \u00e4r gjord f\u00f6r<\/h2>\n  <p>4 profiler. K\u00e4nner du igen dig i minst en \u00e4r Lean f\u00f6rmodligen gjord f\u00f6r dig.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har anv\u00e4nt Yazio seri\u00f6st och inte g\u00e5tt ner<\/h4>\n        <p>Du har f\u00f6ljt ett \u00e4rligt underskott i veckor, utan resultat. Orsaken \u00e4r med st\u00f6rsta sannolikhet den felaktiga TDEE:n. Lean r\u00e4ttar det vid roten via BMR p\u00e5 verklig fettprocent.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du stagnerar efter flera veckors deff<\/h4>\n        <p>Plat\u00e5 som drar ut p\u00e5 tiden efter 4 till 8 veckor. Det \u00e4r den metabola anpassningen. Lean ber\u00e4knar den automatiskt och justerar ditt m\u00e5l varje vecka.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vill f\u00f6rst\u00e5 din \u00e4mnesoms\u00e4ttning<\/h4>\n        <p>Lean visar varje komponent (BMR, NEAT, EAT, TEF) och f\u00f6rklarar sedan anpassningen separat, i st\u00e4llet f\u00f6r att g\u00f6mma allt bakom en enda siffra. Du ser var varje f\u00f6rbrukad kcal kommer ifr\u00e5n.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vill ha en loggning som h\u00e5ller i 12 m\u00e5nader<\/h4>\n        <p>AI-fotoskanning + kurerad bas + streckkod t\u00e4cker alla anv\u00e4ndningsfall, fr\u00e5n r\u00e5varan till pizzan p\u00e5 restaurang. Det \u00e4r det som g\u00f6r skillnaden mellan att h\u00e5lla ut och att ge upp.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Yazio kan r\u00e4cka f\u00f6r<\/strong>&nbsp;: strukturerad periodisk fasta, guidade recept, eller en enkel uppf\u00f6ljning utan att dyka ner i TDEE-vetenskapen. Exakt kaloriber\u00e4kning ing\u00e5r helt enkelt inte i dess l\u00f6fte.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migration<\/span><\/div>\n  <h2 id=\"migrate\">Byt fr\u00e5n Yazio till Lean p\u00e5 3 minuter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Ladda ner Lean<\/h4><p>App Store eller Play Store. Registrering p\u00e5 30 sekunder.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Ett foto, 5 sekunder. Du f\u00e5r din fettprocent.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Vikt &amp; l\u00e4ngd<\/h4><p>Du anger din vikt och din l\u00e4ngd. Det \u00e4r allt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean ber\u00e4knar<\/h4><p>BMR p\u00e5 verklig fettprocent, NEAT via HealthKit \/ Google Fit (verkliga steg), EAT per MET, TEF per makron, plus den metabola anpassningen som modulerar BMR. Automatiskt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Logga en m\u00e5ltid<\/h4><p>Foto, streckkod eller databas. Du f\u00f6rst\u00e5r fl\u00f6det.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Viktig notering.<\/strong> Lean importerar inte dina Yazio-recept automatiskt. Vill du beh\u00e5lla dina favoritr\u00e4tter kan du \u00e5terskapa dem manuellt som Lean-favoriter. Synkningen HealthKit \/ Google Health Connect tar d\u00e4remot \u00f6ver omedelbart f\u00f6r dina steg och din aktivitetshistorik.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Ladda ner Lean och b\u00f6rja med AI BodyScan nu. Gratis registrering.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-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; Det Lean l\u00e5ser upp<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean g\u00f6r, och som Yazio aldrig kommer att g\u00f6ra<\/h2>\n  <p>Sex funktioner som inte finns i n\u00e5gon annan konsumenttracker. Alla f\u00f6ljer av samma princip&nbsp;: ber\u00e4kna varje TDEE-komponent exakt, inte approximera den.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Obegr\u00e4nsad AI BodyScan<\/div><p class=\"fd\">Din verkliga fettprocent, m\u00e4tt fr\u00e5n ett enda foto, upprepad varje vecka. Det \u00e4r datan som f\u00f6r\u00e4ndrar hela BMR-ber\u00e4kningen. Ingen annan konsumentapp erbjuder det.<\/p><\/div><div class=\"fc\">Fettprocent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Obegr\u00e4nsad AI-fotoskanning av en matr\u00e4tt<\/div><p class=\"fd\">Logga din restaurangm\u00e5ltid p\u00e5 2 sekunder. Ingen v\u00e5g, ingen manuell inmatning. Game changern f\u00f6r f\u00f6ljsamhet \u00f6ver 12 m\u00e5nader.<\/p><\/div><div class=\"fc\">F\u00f6ljsamhet<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabol anpassning<\/div><p class=\"fd\">Din TDEE justeras vecka f\u00f6r vecka enligt vetenskapligt fastst\u00e4llda siffror. Du undviker plat\u00e5erna som ingen kan f\u00f6rklara.<\/p><\/div><div class=\"fc\">Anpassning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Uppdelad TDEE live<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF visade var f\u00f6r sig, uppdaterade under dagen. Inte l\u00e4ngre en siffra fryst klockan 8 p\u00e5 morgonen. Du ser din kaloribalans direkt.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplett historik och trender<\/div><p class=\"fd\">F\u00f6lj dina trender f\u00f6r vikt, fettprocent och fettfri massa \u00f6ver m\u00e5nader. F\u00f6rst\u00e5 dina cykler. Se faserna d\u00e4r du g\u00f6r framsteg och de d\u00e4r du stagnerar.<\/p><\/div><div class=\"fc\">Historik<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlade loggningsmetoder<\/div><p class=\"fd\">Foto, streckkod, kurerad bas. Ingen annan app erbjuder alla tre med s\u00e5dan precision. Du v\u00e4ljer metod efter situationen.<\/p><\/div><div class=\"fc\">Loggning<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerar appen gratis, testar utan f\u00f6rbindelse och best\u00e4mmer sedan om verktyget passar ditt m\u00e5l.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Vanliga fr\u00e5gor<\/h2>\n  <div class=\"faq\">\n    <details><summary>Yazio anv\u00e4nder Mifflin-St Jeor, det \u00e4r modernt, varf\u00f6r kritiserar du det&nbsp;?<\/summary><div class=\"ans\">Mifflin-St Jeor (1990) r\u00e4ttar marginellt Harris-Benedict (1919) men \u00e4rver samma konceptuella fel&nbsp;: ingen fettprocent som indata. Frankenfield 2013 (PubMed 23631843) m\u00e4ter 75&nbsp;% noggrannhet hos personer med fetma mot 87&nbsp;% hos dem utan. \u00c4r din fettprocent h\u00f6g kan felet p\u00e5 din BMR \u00f6verstiga 250 till 315&nbsp;kcal per dag.<\/div><\/details>\n    <details><summary>Yazio har mycket bra betyg (4,6) och 100&nbsp;M anv\u00e4ndare, hur kan den vara d\u00e5lig&nbsp;?<\/summary><div class=\"ans\">Yazio \u00e4r utm\u00e4rkt p\u00e5 anv\u00e4ndarupplevelse, periodisk fasta och biblioteket med guidade recept. Det vi ifr\u00e5gas\u00e4tter h\u00e4r \u00e4r enbart precisionen i TDEE-ber\u00e4kningen, som \u00e4r k\u00e4rnan i l\u00f6ftet \u00abcalorie tracker\u00bb. En stor publik bekr\u00e4ftar konsumentproduktens kvalitet, den bekr\u00e4ftar inte formelns vetenskapliga precision.<\/div><\/details>\n    <details><summary>Och periodisk fasta i Lean&nbsp;?<\/summary><div class=\"ans\">Inte inbyggt. Lean erbjuder varken 16:8-timer eller guidat fasteprogram. \u00c4r det din huvudvinkel \u00e4r Yazio mer relevant. Lean \u00e4r utformad f\u00f6r TDEE-ber\u00e4kning och kroppsrekomposition, inte f\u00f6r att strukturera \u00e4tf\u00f6nster.<\/div><\/details>\n    <details><summary>Yazio synkar med Apple H\u00e4lsa och Google Fit, r\u00e4cker inte det f\u00f6r NEAT&nbsp;?<\/summary><div class=\"ans\">Yazio f\u00e5ngar steg och aktivitet via HealthKit \/ Google Fit, men anv\u00e4nder dem f\u00f6r sektionen \u00abAktiviteter\u00bb och uppskattningen av kalorier f\u00f6rbr\u00e4nda vid tr\u00e4ning, inte f\u00f6r att r\u00e4kna om din TDEE kontinuerligt. PAL:en vald vid registreringen (1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9) f\u00f6rblir grunden f\u00f6r ber\u00e4kningen. Lean s\u00e4tter d\u00e4remot ihop din NEAT av verkliga steg varje dag.<\/div><\/details>\n    <details><summary>\u00c4r Lean freemium eller betald&nbsp;?<\/summary><div class=\"ans\">Lean \u00e4r Premium, med 7 dagars gratis provperiod p\u00e5 \u00e5rsabonnemanget. Du laddar ner, testar AI BodyScan, AI-fotoskanning av en matr\u00e4tt, TDEE-rekomposition, utan f\u00f6rbindelse. Passar verktyget ditt m\u00e5l forts\u00e4tter du. Annars st\u00e4nger du av f\u00f6rnyelsen innan provperioden \u00e4r slut.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Slutsats<\/span><\/div>\n  <h2 id=\"conclu\">1990 mot 2026<\/h2>\n  <p>Det \u00e4r inte Yazio mot Lean i marknadsf\u00f6ring. Det \u00e4r 1990 mot 2026 i vetenskap.<\/p>\n  <p>Yazio anv\u00e4nder Mifflin-St Jeor, en formel publicerad 1990, plus en fastl\u00e5st aktivitetsniv\u00e5 som du kryssar i en enda g\u00e5ng vid registreringen (en av 5 PAL-rutor: 1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9), och ignorerar den metabola anpassningen. Kombinationen av de tre g\u00f6r varje exakt uppf\u00f6ljning om\u00f6jlig bortom n\u00e5gra veckor. Det \u00e4r matematik.<\/p>\n  <p>Lean byggdes f\u00f6r att g\u00f6ra precis tv\u00e4rtom&nbsp;: BMR baserad p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">verkliga fettprocent<\/a> (m\u00e4tt med AI BodyScan) via en patenterad egenutvecklad modell, <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT per verkliga steg<\/a>, EAT per sport och MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF per makron<\/a>, plus den metabola anpassningen som modulerar BMR vecka f\u00f6r vecka. Varje komponent ber\u00e4knad exakt, utan magisk koefficient.<\/p>\n  <p>Yazio \u00e4r fortfarande mycket solid p\u00e5 periodisk fasta och receptbiblioteket. Om du har provat Yazio seri\u00f6st och inte fick de resultat du hoppades p\u00e5 i din deff, \u00e4r problemet inte du. Problemet sitter under huven. Byt app.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Nedladdning<\/div>\n  <h3>Lean kan laddas ner gratis<\/h3>\n  <p>iOS och Android. AI BodyScan fungerar med ett enda foto. Ingen kaliper, ingen impedansv\u00e5g, ingen DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 vidare<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interna l\u00e4nkar<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">Gratis TDEE-kalkylator online<\/a> &middot; webbversion, utan registrering, samma logik som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">F\u00f6rst\u00e5 TDEE i detalj (BMR, NEAT, EAT, TEF, anpassning)<\/a> &middot; djupg\u00e5ende vetenskaplig artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/comment-compter-ses-calories\/\">S\u00e5 r\u00e4knar du dina kalorier r\u00e4tt<\/a> &middot; praktisk guide f\u00f6r nyb\u00f6rjare.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/neat-depense-non-sportive\/\">NEAT&nbsp;: f\u00f6rbrukning per steg och aktivitet utanf\u00f6r tr\u00e4ning<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/sv\/effet-thermique-des-aliments\/\">TEF&nbsp;: matsm\u00e4ltningen f\u00f6rbr\u00e4nner kalorier<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">K\u00e4llor<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikel publicerad 23 maj 2026. Uppdateras regelbundet med anv\u00e4ndarfeedback och nya relevanta studier. Lean finns p\u00e5 iOS och Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-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  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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Lean s\u00e4tter ihop din TDEE p\u00e5 nytt kontinuerligt.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>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 mot Yazio: varf\u00f6r Yazio lurar dig om din f\u00f6rbrukning (2026)<\/title>\n<meta name=\"description\" content=\"Yazio till\u00e4mpar Mifflin-St Jeor 1990 + 5 statiska PAL-rutor. Lean r\u00e4knar om BMR + NEAT + EAT + TEF + anpassning p\u00e5 din verkliga fettprocent. 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