{"id":1320,"date":"2026-05-22T14:20:07","date_gmt":"2026-05-22T14:20:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=1320"},"modified":"2026-09-05T10:39:54","modified_gmt":"2026-09-05T10:39:54","slug":"comparatifs","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/comparatifs\/","title":{"rendered":"Sammenligninger af kalorie-apps: Lean over for MyFitnessPal, Yazio og 4 andre"},"content":{"rendered":"<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"CollectionPage\",\n\"mainEntityOfPage\": {\n\"@type\": \"WebPage\",\n\"@id\": \"https:\/\/lean-app.com\/comparatifs\/\"\n},\n\"headline\": \"Tous les comparatifs Lean. Une seule formule qui change tout.\",\n\"description\": \"Hub des comparatifs Lean face aux apps calorie majeures : MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret.\",\n\"inLanguage\": \"fr-FR\",\n\"datePublished\": \"2026-05-22T09:00:00+02:00\",\n\"dateModified\": \"2026-05-22T09:00:00+02:00\",\n\"author\": {\n\"@type\": \"Organization\",\n\"name\": \"L'\u00e9quipe Lean\",\n\"url\": \"https:\/\/lean-app.com\/\"\n},\n\"publisher\": {\n\"@type\": \"Organization\",\n\"name\": \"Lean\",\n\"url\": \"https:\/\/lean-app.com\/\",\n\"logo\": {\n\"@type\": \"ImageObject\",\n\"url\": \"https:\/\/lean-app.com\/comparatifs\/icons\/icon-512.png\",\n\"width\": 512,\n\"height\": 512\n}\n},\n\"about\": [\n{\"@type\": \"Thing\", \"name\": \"TDEE\", \"description\": \"Total Daily Energy Expenditure\"},\n{\"@type\": \"Thing\", \"name\": \"BMR\", \"description\": \"Basal Metabolic Rate\"},\n{\"@type\": \"Thing\", \"name\": \"Adaptation m\u00e9tabolique\"}\n]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"ItemList\",\n\"name\": \"Comparatifs Lean face aux apps calorie\",\n\"itemListElement\": [\n{\"@type\": \"ListItem\", \"position\": 1, \"url\": \"https:\/\/lean-app.com\/lean-vs-myfitnesspal\/\", \"name\": \"Lean vs MyFitnessPal\"},\n{\"@type\": \"ListItem\", \"position\": 2, \"url\": \"https:\/\/lean-app.com\/lean-vs-yazio\/\", \"name\": \"Lean vs Yazio\"},\n{\"@type\": \"ListItem\", \"position\": 3, \"url\": \"https:\/\/lean-app.com\/lean-vs-cronometer\/\", \"name\": \"Lean vs Cronometer\"},\n{\"@type\": \"ListItem\", \"position\": 4, \"url\": \"https:\/\/lean-app.com\/lean-vs-lifesum\/\", \"name\": \"Lean vs Lifesum\"},\n{\"@type\": \"ListItem\", \"position\": 5, \"url\": \"https:\/\/lean-app.com\/lean-vs-fatsecret\/\", \"name\": \"Lean vs FatSecret\"},\n{\"@type\": \"ListItem\", \"position\": 6, \"url\": \"https:\/\/lean-app.com\/lean-vs-noom\/\", \"name\": \"Lean vs Noom\"},\n{\"@type\": \"ListItem\", \"position\": 7, \"url\": \"https:\/\/lean-app.com\/lean-vs-foodvisor\/\", \"name\": \"Lean vs Foodvisor\"}\n]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"FAQPage\",\n\"mainEntity\": [\n{\n\"@type\": \"Question\",\n\"name\": \"Pourquoi un hub comparatifs et pas juste une page ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Parce que chaque app calorie a un d\u00e9faut diff\u00e9rent. MyFitnessPal s'appuie sur Mifflin-St Jeor 1990 sans bodyfat, Cronometer reste fort sur les micronutriments mais ignore l'adaptation, Yazio est ergonomique mais utilise un coefficient d'activit\u00e9 statique. Un hub permet de comparer Lean \u00e0 chaque concurrent sur ses propres armes, sans diluer le propos.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Qu'est-ce que Lean fait diff\u00e9remment de MyFitnessPal et Yazio ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Lean calcule les 5 composants du TDEE : BMR sur bodyfat r\u00e9el via BodyScan IA, NEAT sur les pas r\u00e9els, EAT par sport et MET, TEF par macros ing\u00e9r\u00e9s, adaptation m\u00e9tabolique automatique semaine apr\u00e8s semaine. Les autres apps s'arr\u00eatent \u00e0 un BMR poids-taille-\u00e2ge plus un coefficient d'activit\u00e9 statique.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Quelles apps sont compar\u00e9es dans ce hub ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Cinq apps grand public majeures : MyFitnessPal, Yazio, Cronometer, Lifesum et FatSecret. Chaque comparateur 1v1 regarde la formule TDEE, la base alimentaire, les m\u00e9thodes de tracking et l'honn\u00eatet\u00e9 des forces et faiblesses de chaque c\u00f4t\u00e9.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Y aura-t-il d'autres comparateurs ajout\u00e9s ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Oui. La grille de crit\u00e8res est fig\u00e9e (BMR, NEAT, EAT, TEF, adaptation, scan IA). Tout nouveau tracker grand public sera pass\u00e9 au crible avec la m\u00eame rigueur. Le hub est volontairement extensible sans casser la coh\u00e9rence \u00e9ditoriale.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Comment Lean calcule l'adaptation m\u00e9tabolique sans formule publique ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Lean s'appuie sur un mod\u00e8le propri\u00e9taire brevet\u00e9 qui prolonge les travaux publi\u00e9s par Rosenbaum, Leibel, M\u00fcller et Westerterp. \u00c0 d\u00e9ficit de \u2212500 kcal sur 4 \u00e0 6 semaines, l'app ajuste ton TDEE \u00e0 la baisse de 10 \u00e0 15 % selon tes donn\u00e9es r\u00e9elles. Aucune autre app grand public ne fait ce calcul \u00e0 ce jour.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Lean fonctionne sur Android comme sur iPhone ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Oui, l'app est native iOS et Android. NEAT aliment\u00e9e par HealthKit c\u00f4t\u00e9 iPhone, Google Fit c\u00f4t\u00e9 Android. 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strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\nbody.postid-1320 #lvm-shell .solo-mini{display:flex;justify-content:center;margin:30px 0}\nbody.postid-1320 #lvm-shell .solo-mini .mini-phone{max-width:180px}\nbody.postid-1320 #lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\nbody.postid-1320 #lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\nbody.postid-1320 #lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\nbody.postid-1320 #lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1320 #lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\nbody.postid-1320 #lvm-shell .spoke-grid{display:grid;grid-template-columns:1fr;gap:18px;margin:30px 0 10px}\nbody.postid-1320 #lvm-shell .spoke-card{display:grid;grid-template-columns:64px 1fr auto;grid-template-rows:auto auto auto;column-gap:20px;row-gap:6px;align-items:center;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;text-decoration:none;color:var(--ink-2);transition:all .15s}\nbody.postid-1320 #lvm-shell .spoke-card:hover{border-color:var(--ink);transform:translateY(-1px);box-shadow:0 8px 20px rgba(0,0,0,.06)}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-logo{grid-row:1\/3;width:56px;height:56px;border-radius:22.5%;object-fit:cover;background:#fff}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-name{grid-column:2;grid-row:1;margin:0;font-family:var(--font-display);font-size:20px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.2}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-usp{grid-column:2;grid-row:2;margin:0;font-size:14px;color:var(--muted);line-height:1.5}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-edge{grid-column:2\/4;grid-row:3;margin:8px 0 0;font-size:13px;color:var(--pink-deep);font-weight:500;line-height:1.5}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-cta{grid-column:3;grid-row:1;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600;white-space:nowrap;align-self:center}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-pill{grid-column:3;grid-row:1;font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;color:var(--ink);font-weight:600;background:var(--paper);border:1px solid var(--rule);padding:5px 10px;border-radius:99px;white-space:nowrap;align-self:center}\nbody.postid-1320 #lvm-shell .spoke-card.published{border-left:2px solid var(--pink)}\nbody.postid-1320 #lvm-shell .faq{margin:22px 0}\nbody.postid-1320 #lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\nbody.postid-1320 #lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\nbody.postid-1320 #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)}\nbody.postid-1320 #lvm-shell .faq summary::-webkit-details-marker{display:none}\nbody.postid-1320 #lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\nbody.postid-1320 #lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\nbody.postid-1320 #lvm-shell .faq details[open] summary{color:var(--pink)}\nbody.postid-1320 #lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\nbody.postid-1320 #lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\nbody.postid-1320 #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}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\nbody.postid-1320 #lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\nbody.postid-1320 #lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\nbody.postid-1320 #lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1320 #lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\nbody.postid-1320 #lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\nbody.postid-1320 #lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\nbody.postid-1320 #lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\nbody.postid-1320 #lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\nbody.postid-1320 #lvm-shell footer .stores{display:flex;gap:8px}\nbody.postid-1320 #lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\nbody.postid-1320 #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)}\nbody.postid-1320 #lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){body.postid-1320 #lvm-shell .rev{transition:none;opacity:1;transform:none}}\n@media (max-width:760px){\nbody.postid-1320 #lvm-shell .nav-row{padding:8px 18px;gap:8px}\nbody.postid-1320 #lvm-shell .nav-link{display:none}\nbody.postid-1320 #lvm-shell .nav-stores img{height:24px}\nbody.postid-1320 #lvm-shell .wrap{padding:0 22px}\nbody.postid-1320 #lvm-shell .hero{padding:34px 0 0}\nbody.postid-1320 #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\nbody.postid-1320 #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\nbody.postid-1320 #lvm-shell .dek{font-size:20px}\nbody.postid-1320 #lvm-shell .hero-stores img{height:42px}\nbody.postid-1320 #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\nbody.postid-1320 #lvm-shell .phone-wrap{order:-1}\nbody.postid-1320 #lvm-shell .phone{width:240px}\nbody.postid-1320 #lvm-shell .tap-hint.desktop{display:none}\nbody.postid-1320 #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\nbody.postid-1320 #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\nbody.postid-1320 #lvm-shell .snippet{padding:24px 22px}\nbody.postid-1320 #lvm-shell .snippet p{font-size:18px}\nbody.postid-1320 #lvm-shell section{padding:48px 0}\nbody.postid-1320 #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\nbody.postid-1320 #lvm-shell h3{font-size:24px}\nbody.postid-1320 #lvm-shell .section-label{margin-bottom:22px}\nbody.postid-1320 #lvm-shell .statement{padding:14px 0;margin:20px 0}\nbody.postid-1320 #lvm-shell .statement .num{font-size:44px}\nbody.postid-1320 #lvm-shell .statement .lbl{font-size:21px;line-height:1.3}\nbody.postid-1320 #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\nbody.postid-1320 #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\nbody.postid-1320 #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\nbody.postid-1320 #lvm-shell .mini-phone .scr{border-radius:15px}\nbody.postid-1320 #lvm-shell .mini-cap{font-size:10px}\nbody.postid-1320 #lvm-shell .mini-cap strong{font-size:13px}\n\/* HUB table mobile : scroll horizontal *\/\nbody.postid-1320 #lvm-shell .htable{overflow-x:auto;border-radius:14px}\nbody.postid-1320 #lvm-shell .htable-row{grid-template-columns:140px repeat(6,minmax(82px,1fr));min-width:640px}\nbody.postid-1320 #lvm-shell .htable-row > .crit{padding:11px 12px;font-size:12px;line-height:1.35;position:sticky;left:0;background:#fff;border-right:1px solid var(--rule)}\nbody.postid-1320 #lvm-shell .htable-row.head > .crit-head{background:var(--ink);color:#fff;border-right:1px solid rgba(255,255,255,.08);position:sticky;left:0}\nbody.postid-1320 #lvm-shell .htable-row > .cell{padding:11px 6px;font-size:11px;gap:5px}\nbody.postid-1320 #lvm-shell .htable-row.head{min-height:82px}\nbody.postid-1320 #lvm-shell .htable-row.head > div{padding:10px 6px;font-size:9px;gap:4px}\nbody.postid-1320 #lvm-shell .htable-row.head .brand-cell img{width:22px;height:22px}\nbody.postid-1320 #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:28px}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:50px}\nbody.postid-1320 #lvm-shell .cta-band{padding:22px;gap:14px}\nbody.postid-1320 #lvm-shell .cta-band .l{font-size:16px;min-width:0}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:38px}\nbody.postid-1320 #lvm-shell .faq summary{font-size:18px;gap:14px}\nbody.postid-1320 #lvm-shell .spoke-card{grid-template-columns:48px 1fr;column-gap:14px;padding:18px 18px;border-radius:14px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-logo{width:44px;height:44px;grid-row:1\/3}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-name{font-size:17px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-usp{font-size:13px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-edge{grid-column:1\/3;font-size:12px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-cta, body.postid-1320 #lvm-shell .spoke-card .spoke-pill{grid-column:1\/3;grid-row:auto;justify-self:flex-start;margin-top:6px}\n}\n@media (max-width:480px){\nbody.postid-1320 #lvm-shell .phone-tabs{gap:5px}\nbody.postid-1320 #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\nbody.postid-1320 #lvm-shell .nav-stores{gap:4px}\nbody.postid-1320 #lvm-shell .nav-stores img{height:22px}\nbody.postid-1320 #lvm-shell .hero-stores img{height:40px}\nbody.postid-1320 #lvm-shell .crumb{font-size:12px}\n}<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1320 #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-1320 #lvm-shell .wrap,\nbody.postid-1320 #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;box-sizing:border-box!important}\n@media (max-width:820px){\nbody.postid-1320 #lvm-shell .wrap,\nbody.postid-1320 #lvm-shell main.wrap{padding-left:22px!important;padding-right:22px!important}\nbody.postid-1320 #lvm-shell .hero{padding:34px 0 0!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1320 #lvm-shell{overflow-x:hidden;max-width:100vw;display:block}\nbody.postid-1320 #lvm-shell *{max-width:100%;box-sizing:border-box}\nbody.postid-1320 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\n\/* Force all .rev visible: IntersectionObserver-based fade-in fails under autoptimize bundling on production *\/\nbody.postid-1320 #lvm-shell .rev{opacity:1!important;transform:none!important;transition:none!important}\nbody.postid-1320 #lvm-shell a.inline,body.postid-1320 #lvm-shell .eyebrow,body.postid-1320 #lvm-shell .kicker{color:#C7164C!important}\nbody.postid-1320 #lvm-shell .card{text-decoration:none!important}\n\/* CTA bands mobile (badges bigger + centered) *\/\n@media (max-width:760px){\nbody.postid-1320 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\nbody.postid-1320 #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}\nbody.postid-1320 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\nbody.postid-1320 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;border-radius:10px!important}\nbody.postid-1320 #lvm-shell .get-band{padding:38px 22px!important}\nbody.postid-1320 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\nbody.postid-1320 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;border-radius:10px!important}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\nbody.postid-1320 #lvm-shell .get-band p{font-size:15px!important}\n}\nbody.postid-1320 #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-1320 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n<\/style>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/da\/\" aria-label=\"Lean forside\">\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\/da\/tdee-calculator\/\">TDEE-beregner<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download i 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\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilg\u00e6ngelig p\u00e5 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\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n<main class=\"wrap\">\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/da\/\">Hjem<\/a> &nbsp;\/&nbsp; Sammenligninger<\/div>\n  <div class=\"eyebrow\">Sammenligninger &middot; Hub<\/div>\n  <h1 id=\"title\">Alle Lean-sammenligninger.\n    <span class=\"alt\">\u00c9n formel, der \u00e6ndrer alt over for de store kalorie-apps.<\/span>\n  <\/h1>\n  <p class=\"dek\">Hver traditionel tracker (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) beregner dit kalorieforbrug med en formel fra 1919 eller 1990, uden fedtprocent eller tilpasning. Her er sammenligningen linje for linje, \u00e6rlig, uden markedsf\u00f8ringssnak.<\/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\u00e6setid 9&nbsp;min &middot; Opdateret 22. maj 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" 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 download<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Sammenligner du Lean med MyFitnessPal, Yazio, Cronometer, Lifesum eller FatSecret&nbsp;? Hver 1v1-sammenligning ser p\u00e5 samme kriterier&nbsp;: BMR p\u00e5 reel fedtprocent, m\u00e5lt NEAT, EAT per sport, TEF fra makroer, metabolisk tilpasning. Fem komponenter. Ikke \u00e9n mindre.\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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen for at udforske appen<\/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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen<br>for at udforske 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=\"Oversigt over Lean-appen med drilldown af TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbage\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversigt, Kalorieforbrug-fanen med detaljer BMR NEAT EAT TEF\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversigt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbrug-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversigt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbrug<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Hurtigt svar<\/div>\n    <p>Ingen af de 5 store kalorie-apps (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) beregner de 5 TDEE-komponenter. Alle stopper ved en BMR-formel p\u00e5 v\u00e6gt-h\u00f8jde-alder, plus en statisk aktivitetskoefficient valgt ved tilmeldingen. Lean er den eneste, der beregner BMR p\u00e5 reel fedtprocent via AI BodyScan, NEAT p\u00e5 m\u00e5lte skridt, EAT per sport og MET, TEF fra indtagne makroer, og den automatiske metaboliske tilpasning uge efter uge.<\/p>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"statement-h\" class=\"rev\">\n  <h2 id=\"statement-h\" style=\"position:absolute;left:-9999px;width:1px;height:1px;overflow:hidden\">F\u00f8rste konstatering<\/h2>\n  <div class=\"statement\">\n    <p class=\"lbl\">TDEE = BMR + NEAT + EAT + TEF. Plus den metaboliske tilpasning, der modulerer BMR. Ingen anden app beregner alle 5.<\/p>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"probleme\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem<\/span><\/div>\n  <h2 id=\"probleme\">Hvorfor kalorieberegningen er i stykker overalt<\/h2>\n  <p>Du downloader en kalorie-app. Du indtaster din v\u00e6gt, din h\u00f8jde, din alder, dit k\u00f8n. Appen beder dig krydse en aktivitetsboks af (stillesiddende \/ let aktiv \/ aktiv \/ meget aktiv). Og giver dig et dagligt kalorieforbrug, din TDEE. Den TDEE bliver dit pejlem\u00e6rke for at tabe dig, tage muskler p\u00e5, vedligeholde. Problemet er, at den TDEE n\u00e6sten altid er 300 til 800&nbsp;kcal forkert. Ikke af ond vilje. Af videnskabelig dovenskab.<\/p>\n  <p>Den dybere \u00e5rsag&nbsp;? Alle disse apps bruger en formel fra <strong>1919 (Harris-Benedict)<\/strong> eller dens ommalede version fra <strong>1990 (Mifflin-St Jeor)<\/strong> til at estimere dit basalstofskifte. Disse formler afh\u00e6nger udelukkende af v\u00e6gt, h\u00f8jde, alder og k\u00f8n. <strong>Ikke af fedtprocenten<\/strong>. Men fedtmassen bruger meget lidt energi sammenlignet med den fedtfri masse. To m\u00e6nd p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fedtprocent, den anden med 30&nbsp;%, har ikke samme stofskifte. Men MFP, Yazio, Cronometer, Lifesum, FatSecret giver dem samme v\u00e6rdi.<\/p>\n  <p>Dern\u00e6st ganger aktivitetskoefficienten den forkerte BMR med et n\u00e6sten tilf\u00e6ldigt tal. S\u00e5 kommer den metaboliske tilpasning, fuldst\u00e6ndig ignoreret. Til sidst kommer TEF (ford\u00f8jelsen), fastl\u00e5st p\u00e5 10&nbsp;% fast sats i stedet for beregnet p\u00e5 de indtagne makroer. Fire tiln\u00e6rmelser i kaskade. Den endelige TDEE har ikke l\u00e6ngere noget med din virkelighed at g\u00f8re.<\/p>\n  <div class=\"solo-mini\">\n    <div>\n      <div class=\"mini-phone\" style=\"max-width:170px\"><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 via mod\u00e8le propri\u00e9taire brevet\u00e9\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Lean BMR<strong>P\u00e5 reel fedtprocent<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <p>Lean startede fra nul med en anden bes\u00e6ttelse&nbsp;: at beregne hver komponent pr\u00e6cist, ikke at tiln\u00e6rme den. BMR beregnes via en <strong>patenteret egenudviklet model<\/strong> som afh\u00e6nger af den fedtfri masse. Den fedtfri masse er selv beregnet ud fra fedtprocenten. Fedtprocenten, m\u00e5lt hver uge via et simpelt foto (AI BodyScan). NEAT kommer fra de reelle skridt (HealthKit \/ Google Fit), ikke fra en statisk boks. EAT kommer fra MET for hver sport, v\u00e6gtet med den effektive tid. TEF beregnes efter dine makroer. Tilpasningen justeres uge efter uge efter dit akkumulerede underskud.<\/p>\n<\/section>\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Sammenligningstabel<\/span><\/div>\n  <h2 id=\"tab\">Lean over for de 5 store apps, kriterium for kriterium<\/h2>\n  <p>Seks kriterier, der reelt beskriver en trackers pr\u00e6cision. Intet kriterium handler om prisen.<\/p>\n  <div class=\"htable\" role=\"table\" aria-label=\"Sammenligning af Lean over for 5 store kalorie-apps\">\n    <div class=\"htable-row head\" role=\"row\">\n      <div class=\"crit-head\" role=\"columnheader\">Kriterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Lean<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>MyFitness<br>Pal<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-square.webp\" alt=\"Yazio\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Yazio<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-square.webp\" alt=\"Cronometer\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Cronometer<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-square.webp\" alt=\"Lifesum\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Lifesum<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-square.webp\" alt=\"FatSecret\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>FatSecret<\/span>\n      <\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">BMR p\u00e5 reel fedtprocent<\/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><\/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><\/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><\/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><\/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><\/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><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">Auto-NEAT (skridt + aktivitet uden for sport)<\/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><\/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><\/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><\/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><\/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><\/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><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">EAT (kalorier per pas)<\/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><\/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><\/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><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/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><\/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><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">TEF fra makroer<\/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><\/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><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/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><\/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><\/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><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">Metabolisk tilpasning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/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><\/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><\/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><\/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><\/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><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">AI-m\u00e5ltidsscanning (foto)<\/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><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/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><\/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><\/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><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/div>\n    <\/div>\n  <\/div>\n  <p style=\"margin-top:24px\"><strong>\u00c6rlig gennemgang.<\/strong> Cronometer er stadig meget solid p\u00e5 TEF-beregning fra makroer (arv fra dens stringente mikron\u00e6ringsfilosofi) og tilbyder en finere opf\u00f8lgning per pas end de andre konkurrenter. Men ingen af de 5 beregner den metaboliske tilpasning, og ingen baserer sin BMR p\u00e5 den reelle fedtprocent. AI-scanning af retter er stadig et generelt svagt punkt&nbsp;: MFP tilbyder en begr\u00e6nset kameratilstand, FatSecret tilbyder kun stregkoden.<\/p>\n<\/section>\n<section aria-labelledby=\"methode\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Lean-metoden<\/span><\/div>\n  <h2 id=\"methode\">Det Lean g\u00f8r anderledes<\/h2>\n  <p>Tre metodes\u00f8jler. Ingen magisk koefficient, ingen statisk boks, intet fast estimat.<\/p>\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-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : mod\u00e8le propri\u00e9taire brevet\u00e9 bas\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\"><strong>Patenteret BMR<\/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_NEAT.webp\" alt=\"\u00c9cran NEAT Lean : calcul\u00e9 sur les pas r\u00e9els mesur\u00e9s par smartphone\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\"><strong>M\u00e5lt NEAT<\/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_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\"><strong>Auto-tilpasning<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <h2 id=\"methode-bmr\" style=\"margin-top:32px\">BMR p\u00e5 fedtfri masse, ikke p\u00e5 din v\u00e6gt<\/h2>\n  <p class=\"lead-bullet\"><strong>BMR via patenteret egenudviklet model<\/strong>, baseret p\u00e5 den fedtfri masse udledt af den reelle fedtprocent m\u00e5lt hver uge med AI BodyScan. Et foto, 5 sekunder.<\/p>\n  <p>BMR er TDEE's f\u00f8rste byggesten og konkurrenternes f\u00f8rste fejl. Lean afviser Harris-Benedict, afviser Mifflin-St Jeor og anvender en patenteret egenudviklet model, der tager den <strong>fedtfri masse<\/strong> som hovedvariabel. For at m\u00e5le denne fedtfri masse uden DEXA-scanning til 100&nbsp;\u20ac om ugen bruger appen <strong>AI BodyScan<\/strong>&nbsp;: et foto af dig i undert\u00f8j, en model tr\u00e6net p\u00e5 en DEXA-bank, din estimerede fedtprocent p\u00e5 f\u00e5 sekunder. Gentaget hver uge. BMR justeres automatisk.<\/p>\n  <h2 id=\"methode-neat-eat-tef\" style=\"margin-top:32px\">NEAT, EAT, TEF&nbsp;: m\u00e5lt, ikke estimeret<\/h2>\n  <p class=\"lead-bullet\"><strong>NEAT, EAT, TEF beregnet hver for sig<\/strong>, ud fra m\u00e5lte data. Ingen aktivitetskoefficient at krydse af.<\/p>\n  <p><strong>NEAT.<\/strong> Dine reelle skridt, hentet via HealthKit (iOS) eller Google Fit (Android), krydset med din BMR. Ingen erkl\u00e6ring, intet groft estimat. <strong>EAT.<\/strong> For hvert tr\u00e6ningspas v\u00e6lger du sporten (styrketr\u00e6ning, l\u00f8b, tennis, sv\u00f8mning osv.), og Lean anvender dens MET (Metabolic Equivalent Task) p\u00e5 den effektive tid (ikke den samlede tid med pauser, fejlen, som 100&nbsp;% af smarture beg\u00e5r). <strong>TEF.<\/strong> Protein koster 20 til 30&nbsp;% i ford\u00f8jelsen, kulhydrater 5 til 10&nbsp;%, fedt 1 til 3&nbsp;%. Lean beregner din TEF p\u00e5 den pr\u00e6cise sammens\u00e6tning af dine makroer, ikke en fast sats p\u00e5 10&nbsp;%.<\/p>\n  <h2 id=\"methode-adaptation\" style=\"margin-top:32px\">Metabolisk tilpasning&nbsp;: den byggesten, ingen beregner<\/h2>\n  <p class=\"lead-bullet\"><strong>Automatisk metabolisk tilpasning.<\/strong> F\u00f8rste forbruger-app til at g\u00f8re det, s\u00e5 vidt vi ved. Patenteret egenudviklet model.<\/p>\n  <p>N\u00e5r du er i langvarigt underskud, skifter din krop til sparetilstand. Din BMR falder, din NEAT falder, din TDEE falder. Ved et underskud p\u00e5 &minus;500&nbsp;kcal\/dag n\u00e5r tilpasningen 10 til 15&nbsp;% p\u00e5 4 til 6 uger. Det er hoved\u00e5rsagen til de plateauer, ingen kan forklare. Lean justerer din TDEE nedad uge efter uge efter dit akkumulerede underskud, uden at bede dig om noget. N\u00e5r tilpasningen n\u00e5r 10 til 15&nbsp;%, kan appen r\u00e5de dig til at vende tilbage til vedligehold for at nulstille din BMR, f\u00f8r du g\u00e5r i underskud igen.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Se din reelle TDEE opdelt, uden aktivitetskoefficient at v\u00e6lge. Gratis download.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"spokes\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Sammenligninger<\/span><\/div>\n  <h2 id=\"spokes\">De 5 alternativer at unders\u00f8ge<\/h2>\n  <p>Hvert kort \u00e5bner en komplet 1v1-sammenligning&nbsp;: \u00e6rlig tabel, scorecard, hvor konkurrenten vinder, n\u00e5r den vinder, og detaljeret liste over forskellene.<\/p>\n  <div class=\"spoke-grid\">\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/\" aria-label=\"Sammenligning Lean vs MyFitnessPal\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs MyFitnessPal<\/h3>\n      <p class=\"spoke-usp\">Den historiske standard inden for kaloriet\u00e6lling. Massiv community-base, Mifflin-St Jeor 1990, aktivitetskoefficient med 4 bokse.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: BMR p\u00e5 reel fedtprocent, automatisk metabolisk tilpasning, ubegr\u00e6nset AI-scanning af retter over for en st\u00f8jende base og en BMR kun p\u00e5 v\u00e6gt.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-yazio\/\" aria-label=\"Sammenligning Lean vs Yazio\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-square.webp\" alt=\"Yazio\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Yazio<\/h3>\n      <p class=\"spoke-usp\">Poleret ergonomi, madplaner, st\u00e6rkt europ\u00e6isk publikum. TEF estimeret per f\u00f8devarekategori, uden fedtprocentmodel.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: AI BodyScan, NEAT m\u00e5lt p\u00e5 skridt, EAT per sports-MET, metabolisk tilpasning over for en statisk aktivitetskoefficient.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-cronometer\/\" aria-label=\"Sammenligning Lean vs Cronometer\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-square.webp\" alt=\"Cronometer\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Cronometer<\/h3>\n      <p class=\"spoke-usp\">Mikron\u00e6ringsstof-reference, stringent NCCDB-f\u00f8devarebase, foretrukket af di\u00e6tister. Bliver p\u00e5 Mifflin-St Jeor 1990 uden fedtprocent p\u00e5 TDEE.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: BMR p\u00e5 reel fedtprocent via AI BodyScan, automatisk metabolisk tilpasning, NEAT p\u00e5 reelle skridt over for en aktivitetskoefficient fastl\u00e5st ved tilmeldingen.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-lifesum\/\" aria-label=\"Sammenligning Lean vs Lifesum (snart)\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-square.webp\" alt=\"Lifesum\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Lifesum<\/h3>\n      <p class=\"spoke-usp\">Skandinavisk livsstilsapp, f\u00e6rdige di\u00e6ter (keto, vegansk, pal\u00e6o), daglig ern\u00e6ringsscore. Simplistisk TDEE-beregning.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: videnskabelig pr\u00e6cision erstatter livsstilsopskrifter. BMR p\u00e5 fedtprocent, 5 TDEE-komponenter beregnet hver for sig, auto-tilpasning.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-fatsecret\/\" aria-label=\"Sammenligning Lean vs FatSecret (snart)\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-square.webp\" alt=\"FatSecret\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs FatSecret<\/h3>\n      <p class=\"spoke-usp\">Gratis basisapp, stort community-katalog, standard stregkodescanning. Ingen videnskabelig ambition p\u00e5 TDEE.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: komplet videnskabelig metode p\u00e5 de 5 TDEE-komponenter over for en rent deklarativ madlogbog.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n  \n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-noom\/\" aria-label=\"Sammenligning Lean vs Noom\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-noom-real.webp\" alt=\"Noom\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Noom<\/h3>\n      <p class=\"spoke-usp\">Psykologisk coaching, daglige lektioner, klassifikation af f\u00f8devarer i gr\u00f8n\/gul\/r\u00f8d, menneskelige coaches. TDEE-motor p\u00e5 Mifflin-St Jeor 1990, uden fedtprocent eller tilpasning.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: BMR p\u00e5 reel fedtprocent, automatisk metabolisk tilpasning, NEAT p\u00e5 reelle skridt over for psykologisk coaching lagt oven p\u00e5 en simplistisk TDEE-beregning.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/da\/lean-vs-foodvisor\/\" aria-label=\"Sammenligning Lean vs Foodvisor\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/fv-logo-foodvisor.jpg\" alt=\"Foodvisor\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Foodvisor<\/h3>\n      <p class=\"spoke-usp\">Pioner inden for AI-fotoscanning af en ret, solid fransk database, ern\u00e6ringscoaching som tilvalg. TDEE-motor p\u00e5 Mifflin-St Jeor 1990, uden fedtprocent eller tilpasning.<\/p>\n      <p class=\"spoke-edge\">Hvor Lean vinder&nbsp;: ogs\u00e5 AI-fotoscanning, men underst\u00f8ttet af en l\u00f8bende genopbygget TDEE (BMR p\u00e5 reel fedtprocent, NEAT p\u00e5 reelle skridt, metabolisk tilpasning), hvor Foodvisor stopper ved tallerkenen.<\/p>\n      <span class=\"spoke-cta\">Se sammenligningen &rarr;<\/span>\n    <\/a>\n<\/div>\n<\/section>\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Ofte stillede sp\u00f8rgsm\u00e5l<\/span><\/div>\n  <h2 id=\"faq-h\">Ofte stillede sp\u00f8rgsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details>\n      <summary>Hvorfor en sammenligningshub og ikke bare \u00e9n side&nbsp;?<\/summary>\n      <div class=\"ans\">Fordi hver kalorie-app har en forskellig fejl. MyFitnessPal bygger p\u00e5 Mifflin-St Jeor 1990 uden fedtprocent, Cronometer er stadig st\u00e6rk p\u00e5 mikron\u00e6ringsstoffer, men ignorerer tilpasningen, Yazio er ergonomisk, men bruger en statisk aktivitetskoefficient. En hub g\u00f8r det muligt at sammenligne Lean med hver konkurrent p\u00e5 dens egne v\u00e5ben uden at udvande budskabet.<\/div>\n    <\/details>\n    <details>\n      <summary>Hvad g\u00f8r Lean anderledes end MyFitnessPal og Yazio&nbsp;?<\/summary>\n      <div class=\"ans\">Lean beregner de 5 TDEE-komponenter&nbsp;: BMR p\u00e5 reel fedtprocent via AI BodyScan, NEAT p\u00e5 reelle skridt, EAT per sport og MET, TEF fra indtagne makroer, automatisk metabolisk tilpasning uge efter uge. De andre apps stopper ved en BMR p\u00e5 v\u00e6gt-h\u00f8jde-alder plus en statisk aktivitetskoefficient.<\/div>\n    <\/details>\n    <details>\n      <summary>Hvilke apps sammenlignes i denne hub&nbsp;?<\/summary>\n      <div class=\"ans\">Fem store forbruger-apps&nbsp;: MyFitnessPal, Yazio, Cronometer, Lifesum og FatSecret. Hver 1v1-sammenligning ser p\u00e5 TDEE-formlen, f\u00f8devarebasen, tracking-metoderne og \u00e6rligheden om styrker og svagheder p\u00e5 hver side.<\/div>\n    <\/details>\n    <details>\n      <summary>Bliver der tilf\u00f8jet flere sammenligninger&nbsp;?<\/summary>\n      <div class=\"ans\">Ja. Kriterierne er fastlagt (BMR, NEAT, EAT, TEF, tilpasning, AI-scanning). Enhver ny forbruger-tracker vil blive gennemg\u00e5et med samme stringens. Hubben er bevidst udvidelig uden at bryde den redaktionelle sammenh\u00e6ng.<\/div>\n    <\/details>\n    <details>\n      <summary>Hvordan beregner Lean den metaboliske tilpasning uden offentlig formel&nbsp;?<\/summary>\n      <div class=\"ans\">Lean bygger p\u00e5 en patenteret egenudviklet model, der videref\u00f8rer de publicerede arbejder af Rosenbaum, Leibel, M\u00fcller og Westerterp. Ved et underskud p\u00e5 &minus;500&nbsp;kcal over 4 til 6 uger justerer appen din TDEE nedad med 10 til 15&nbsp;% efter dine reelle data. Ingen anden forbruger-app laver den beregning i dag.<\/div>\n    <\/details>\n    <details>\n      <summary>Fungerer Lean p\u00e5 Android s\u00e5vel som p\u00e5 iPhone&nbsp;?<\/summary>\n      <div class=\"ans\">Ja, appen er native til iOS og Android. NEAT fodres af HealthKit p\u00e5 iPhone, Google Fit p\u00e5 Android. AI BodyScan, stregkodescanning og AI-fotoscanning af en ret fungerer identisk p\u00e5 begge platforme.<\/div>\n    <\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Bliv Lean, forbliv Lean<\/h3>\n  <p>iOS og Android. AI BodyScan fungerer med et simpelt foto. Ingen hudfoldsm\u00e5ler, ingen impedansv\u00e6gt, ingen DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean i 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\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean p\u00e5 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\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Intern linkning<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comparatifs-croises\/\">Krydssammenligninger&nbsp;: MyFitnessPal eller Yazio, Foodvisor eller Lifesum<\/a> &middot; 12 dueller mellem konkurrenter.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">Gratis TDEE-beregner online<\/a> &middot; samme logik som appen, uden tilmelding.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">Forst\u00e5 TDEE i detaljer (BMR, NEAT, EAT, TEF, tilpasning)<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">S\u00e5dan t\u00e6ller du dine kalorier korrekt<\/a> &middot; praktisk guide.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT&nbsp;: forbrug per skridt og aktivitet uden for sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF&nbsp;: ford\u00f8jelsen forbr\u00e6nder kalorier<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/alternative-myfitnesspal\/\">Alternativ til MyFitnessPal&nbsp;: 5 apps sammenlignet<\/a>.<\/li>\n  <\/ul>\n<\/section>\n<\/main>\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Sammenligningshub publiceret 22. maj 2026 af Lean-teamet. Opdateres ved hver tilf\u00f8jelse af en ny 1v1-sammenligning. Lean f\u00e5s til iOS og Android.<\/p>\n      <\/div>\n      <div class=\"stores\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" 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\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\nvar bar = document.getElementById('progBar');\nfunction up(){\nvar h = document.documentElement;\nvar sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\nbar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n}\ndocument.addEventListener('scroll', up, {passive:true});\nup();\n})();\n(function(){\nif (!('IntersectionObserver' in window)) {\ndocument.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\nreturn;\n}\nvar obs = new IntersectionObserver(function(entries){\nentries.forEach(function(e){\nif (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n});\n}, {threshold:0.12});\ndocument.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n(function(){\nvar phoneImg = document.getElementById('phoneImg');\nvar phoneBack = document.getElementById('phoneBack');\nvar zones = document.getElementById('phoneZones');\nvar topTabs = document.querySelectorAll('.phone-tabs button');\nvar navTaps = document.querySelectorAll('.phone-navbar button');\nvar tabMap = {\nbilan:    {drill:false},\nkcal:     {drill:false},\ndepense:  {drill:true},\nstrategie:{drill:false}\n};\nvar subSet = {BMR:1, NEAT:1, EAT:1, TEF:1};\nvar currentTab = 'depense';\nfunction setActive(tab){\ntopTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n}\nfunction showTab(tab){\nvar t = tabMap[tab]; if(!t) return;\ncurrentTab = tab;\nphoneImg.style.opacity = 0;\nsetTimeout(function(){\nphoneImg.className = 'phone-bg tab-' + tab;\nphoneImg.style.opacity = 1;\nzones.style.display = t.drill ? 'block' : 'none';\nphoneBack.classList.remove('on');\n}, 150);\nsetActive(tab);\n}\nfunction showSub(sub){\nif(!subSet[sub]) return;\nphoneImg.style.opacity = 0;\nsetTimeout(function(){\nphoneImg.className = 'phone-bg sub-' + sub;\nphoneImg.style.opacity = 1;\nzones.style.display = 'none';\nphoneBack.classList.add('on');\n}, 150);\n}\nvar hintD = document.getElementById('tapHintDesktop');\nvar hintM = document.getElementById('tapHintMobile');\nfunction hideHints(){\nif (hintD) hintD.classList.add('hidden');\nif (hintM) hintM.classList.add('hidden');\n}\ntopTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\nnavTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\nzones.querySelectorAll('.z').forEach(function(z){\nz.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\nz.addEventListener('keydown', function(e){\nif (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n});\n});\nphoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n<\/script><\/div>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Comparatifs Comparatifs &middot; Hub Tous les comparatifs Lean. Une seule formule qui change tout face aux apps calorie majeures. Chaque tracker traditionnel (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcule ta d\u00e9pense calorique avec une formule de 1919 ou 1990, sans bodyfat ni adaptation. Voici la comparaison line-by-line, honn\u00eate, sans baratin marketing. [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1382,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Sammenligninger af kalorieapps: Cronometer, Yazio, FatSecret - Lean<\/title>\n<meta name=\"description\" content=\"Sammenligning af Lean over for de 6 store kalorietrackere. 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