{"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\/nl\/comparatifs\/","title":{"rendered":"Vergelijkingen van calorie-apps: Lean tegenover MyFitnessPal, Yazio en 4 andere"},"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\/nl\/\" 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\/nl\/tdee-calculator\/\">TDEE-calculator<\/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=\"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\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/>\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\/nl\/\">Home<\/a> &nbsp;\/&nbsp; Vergelijkingen<\/div>\n  <div class=\"eyebrow\">Vergelijkingen &middot; Hub<\/div>\n  <h1 id=\"title\">Alle Lean-vergelijkingen.\n    <span class=\"alt\">E\u00e9n formule die alles verandert tegenover de grote calorie-apps.<\/span>\n  <\/h1>\n  <p class=\"dek\">Elke traditionele tracker (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) berekent je calorieverbruik met een formule uit 1919 of 1990, zonder vetpercentage of adaptatie. Dit is de vergelijking regel per regel, eerlijk, zonder marketingpraat.<\/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>Het Lean-team<\/strong> &middot; Leestijd 9&nbsp;min &middot; Bijgewerkt op 22 mei 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      Vergelijk je Lean met MyFitnessPal, Yazio, Cronometer, Lifesum of FatSecret? Elke 1v1-vergelijking kijkt naar hetzelfde raster van criteria: BMR op echt vetpercentage, gemeten NEAT, EAT per sport, TEF per macro&rsquo;s, metabole adaptatie. Vijf componenten. Niet \u00e9\u00e9n minder.\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>Interactieve demo<\/small>Tik op het scherm om de app te verkennen<\/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>Interactieve demo<\/small>Tik op het scherm<br>om de app te verkennen<\/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=\"Terug\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense calorique avec d\u00e9tail 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=\"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=\"Tabblad Verbruik\"><\/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\">Balans<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorie\u00ebn<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbruik<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Snel antwoord<\/div>\n    <p>Geen van de 5 grote calorie-apps (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) berekent de 5 componenten van de TDEE. Ze stoppen allemaal bij een BMR-formule gewicht-lengte-leeftijd, plus een statische activiteitsco\u00ebffici\u00ebnt gekozen bij de inschrijving. Lean is de enige die de BMR berekent op echt vetpercentage via AI BodyScan, de NEAT op gemeten stappen, de EAT per sport en MET, de TEF per ingenomen macro&rsquo;s, en de automatische metabole adaptatie week na week.<\/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\">Eerste vaststelling<\/h2>\n  <div class=\"statement\">\n    <p class=\"lbl\">TDEE = BMR + NEAT + EAT + TEF. Plus de metabole adaptatie die de BMR moduleert. Geen enkele andere app berekent 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; Probleem<\/span><\/div>\n  <h2 id=\"probleme\">Waarom de calorieberekening overal kapot is<\/h2>\n  <p>Je downloadt een calorie-app. Je voert je gewicht, lengte, leeftijd en geslacht in. De app vraagt je een activiteitsvakje aan te vinken (zittend \/ weinig actief \/ actief \/ zeer actief). En geeft je een dagelijks calorieverbruik, je TDEE. Die TDEE wordt je referentie om af te vallen, spier op te bouwen, te onderhouden. Het probleem is dat die TDEE er bijna altijd 300 tot 800&nbsp;kcal naast zit. Niet uit kwade wil. Uit wetenschappelijke luiheid.<\/p>\n  <p>De diepere oorzaak? Al die apps gebruiken een formule uit <strong>1919 (Harris-Benedict)<\/strong> of de opnieuw geschilderde versie ervan uit <strong>1990 (Mifflin-St Jeor)<\/strong> om je basaal metabolisme te schatten. Die formules hangen uitsluitend af van gewicht, lengte, leeftijd en geslacht. <strong>Niet van het vetpercentage<\/strong>. Vetmassa verbruikt echter heel weinig energie vergeleken met vetvrije massa. Twee mannen van 80&nbsp;kg, de ene met 10&nbsp;% vet, de andere met 30&nbsp;%, hebben niet hetzelfde metabolisme. Maar MFP, Yazio, Cronometer, Lifesum en FatSecret geven hun dezelfde waarde.<\/p>\n  <p>Vervolgens vermenigvuldigt de activiteitsco\u00ebffici\u00ebnt die foute BMR met een bijna willekeurig getal. Dan komt de metabole adaptatie, volledig genegeerd. En ten slotte de TEF (vertering), vastgezet op een forfait van 10&nbsp;% in plaats van berekend op de ingenomen macro&rsquo;s. Vier benaderingen in cascade. De uiteindelijke TDEE heeft niets meer met je realiteit te maken.<\/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\">BMR Lean<strong>Op echt vetpercentage<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <p>Lean is van nul begonnen met een andere obsessie: elk onderdeel nauwkeurig berekenen, niet benaderen. De BMR wordt berekend via een <strong>gepatenteerd eigen model<\/strong> dat afhangt van de vetvrije massa. De vetvrije massa, zelf berekend op basis van het vetpercentage. Het vetpercentage, wekelijks gemeten via een simpele foto (AI BodyScan). De NEAT komt van echte stappen (HealthKit \/ Google Fit), niet van een statisch vakje. De EAT komt van de MET van elke sport, gewogen op de effectieve tijd. De TEF wordt berekend op je macro&rsquo;s. De adaptatie wordt week na week bijgesteld volgens je gecumuleerde tekort.<\/p>\n<\/section>\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Vergelijkende tabel<\/span><\/div>\n  <h2 id=\"tab\">Lean tegenover de 5 grote apps, criterium per criterium<\/h2>\n  <p>Zes criteria die de precisie van een tracker echt beschrijven. Geen enkel criterium gaat over de prijs.<\/p>\n  <div class=\"htable\" role=\"table\" aria-label=\"Comparatif Lean face \u00e0 5 apps calorie majeures\">\n    <div class=\"htable-row head\" role=\"row\">\n      <div class=\"crit-head\" role=\"columnheader\">Criterium<\/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 op echt vetpercentage<\/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\">Automatische NEAT (stappen + activiteit buiten de 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 (calorie\u00ebn per training)<\/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 op macro&rsquo;s<\/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\">Metabole adaptatie<\/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-maaltijdscan (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>Eerlijke lezing.<\/strong> Cronometer blijft heel solide op de TEF-berekening per macro&rsquo;s (erfenis van zijn rigoureuze micronutri\u00ebntenfilosofie) en biedt een fijnere opvolging per training dan de andere concurrenten. Maar geen van de 5 berekent de metabole adaptatie, en geen enkele baseert zijn BMR op het echte vetpercentage. De AI-scan van gerechten blijft een algemeen zwak punt: MFP biedt een beperkte cameramodus, FatSecret alleen de barcode.<\/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-methode<\/span><\/div>\n  <h2 id=\"methode\">Wat Lean anders doet<\/h2>\n  <p>Drie methodepijlers. Geen magische co\u00ebffici\u00ebnt, geen statisch vakje, geen forfaitaire schatting.<\/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>Gepatenteerde 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>Gemeten 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>Automatische adaptatie<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <h2 id=\"methode-bmr\" style=\"margin-top:32px\">BMR op vetvrije massa, niet op je gewicht<\/h2>\n  <p class=\"lead-bullet\"><strong>BMR via gepatenteerd eigen model<\/strong>, gebaseerd op de vetvrije massa afgeleid van het echte vetpercentage dat wekelijks wordt gemeten via AI BodyScan. E\u00e9n foto, 5 seconden.<\/p>\n  <p>De BMR is de eerste bouwsteen van de TDEE en de eerste fout van de concurrenten. Lean weigert Harris-Benedict, weigert Mifflin-St Jeor, en past een gepatenteerd eigen model toe dat de <strong>masse maigre<\/strong> als hoofdvariabele neemt. Om die vetvrije massa te meten zonder DEXA-scan van 100&nbsp;\u20ac per week, gebruikt de app <strong>AI BodyScan<\/strong>&nbsp;: een foto van jou in ondergoed, een model getraind op een DEXA-bank, je vetpercentage geschat in enkele seconden. Wekelijks herhaald. De BMR wordt automatisch bijgesteld.<\/p>\n  <h2 id=\"methode-neat-eat-tef\" style=\"margin-top:32px\">NEAT, EAT, TEF: gemeten, niet geschat<\/h2>\n  <p class=\"lead-bullet\"><strong>NEAT, EAT, TEF apart berekend<\/strong>, op basis van gemeten gegevens. Geen activiteitsco\u00ebffici\u00ebnt om aan te vinken.<\/p>\n  <p><strong>NEAT.<\/strong> Je echte stappen, opgehaald via HealthKit (iOS) of Google Fit (Android), gekruist met je BMR. Geen verklaring, geen ruwe schatting. <strong>EAT.<\/strong> Voor elke training kies je de sport (krachttraining, hardlopen, tennis, zwemmen, enz.) en Lean past zijn MET (Metabolic Equivalent Task) toe op de effectieve tijd (niet de totale tijd met pauzes, de fout die 100&nbsp;% van de smartwatches maakt). <strong>TEF.<\/strong> Eiwitten kosten 20 tot 30&nbsp;% aan vertering, koolhydraten 5 tot 10&nbsp;%, vetten 1 tot 3&nbsp;%. Lean berekent je TEF op de exacte samenstelling van je macro&rsquo;s, geen forfait van 10&nbsp;%.<\/p>\n  <h2 id=\"methode-adaptation\" style=\"margin-top:32px\">Metabole adaptatie: de bouwsteen die niemand berekent<\/h2>\n  <p class=\"lead-bullet\"><strong>Automatische metabole adaptatie.<\/strong> Eerste consumentenapp die het doet, voor zover wij weten. Gepatenteerd eigen model.<\/p>\n  <p>Als je in een langdurig tekort zit, schakelt je lichaam over op de spaarstand. Je BMR daalt, je NEAT daalt, je TDEE daalt. Bij een tekort van &minus;500&nbsp;kcal\/dag bereikt de adaptatie 10 tot 15&nbsp;% in 4 tot 6 weken. Dat is de hoofdreden van de plateaus die niemand kan verklaren. Lean stelt je TDEE week na week naar beneden bij volgens je gecumuleerde tekort, zonder je iets te vragen. Als de adaptatie 10 tot 15&nbsp;% bereikt, kan de app je een terugkeer naar onderhoud aanraden om je BMR te resetten voordat je opnieuw in tekort gaat.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Bekijk je echte uitgesplitste TDEE, zonder activiteitsco\u00ebffici\u00ebnt om te kiezen. 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; Vergelijkingen<\/span><\/div>\n  <h2 id=\"spokes\">De 5 alternatieven om te bekijken<\/h2>\n  <p>Elke kaart opent een volledige 1v1-vergelijking: eerlijke tabel, scorecard waar de concurrent wint als hij wint, en gedetailleerde lijst van de verschillen.<\/p>\n  <div class=\"spoke-grid\">\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-myfitnesspal\/\" aria-label=\"Comparateur 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\">De historische standaard van calorie\u00ebn tellen. Enorme communitydatabase, Mifflin-St Jeor 1990, activiteitsco\u00ebffici\u00ebnt met 4 vakjes.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: BMR op echt vetpercentage, automatische metabole adaptatie, onbeperkte AI-scan van gerechten tegenover een database met ruis en een BMR op alleen gewicht.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-yazio\/\" aria-label=\"Comparateur 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\">Verzorgde ergonomie, maaltijdplannen, sterk Europees publiek. TEF geschat per voedingscategorie, zonder vetpercentagemodel.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: AI BodyScan, NEAT gemeten op stappen, EAT per sport-MET, metabole adaptatie tegenover een statische activiteitsco\u00ebffici\u00ebnt.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-cronometer\/\" aria-label=\"Comparateur 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\">Referentie voor micronutri\u00ebnten, rigoureuze NCCDB-voedingsdatabase, geprezen door di\u00ebtisten. Blijft bij Mifflin-St Jeor 1990 zonder vetpercentage voor de TDEE.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: BMR op echt vetpercentage via AI BodyScan, automatische metabole adaptatie, NEAT op echte stappen tegenover een activiteitsco\u00ebffici\u00ebnt die bij de inschrijving is bevroren.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-lifesum\/\" aria-label=\"Comparateur Lean vs Lifesum (bient\u00f4t)\">\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\">Scandinavische lifestyle-app, kant-en-klare di\u00ebten (keto, veganistisch, paleo), dagelijkse voedingsscore. Simplistische TDEE-berekening.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: wetenschappelijke precisie vervangt lifestyle-recepten. BMR op vetpercentage, 5 TDEE-componenten apart berekend, automatische adaptatie.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-fatsecret\/\" aria-label=\"Comparateur Lean vs FatSecret (bient\u00f4t)\">\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, brede communitycatalogus, standaard barcodescan. Geen wetenschappelijke ambitie voor de TDEE.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: volledige wetenschappelijke methode op de 5 componenten van de TDEE tegenover een louter declaratief voedingsdagboek.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n  \n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-noom\/\" aria-label=\"Comparateur 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\">Psychologische coaching, dagelijkse lessen, groen\/geel\/rood-classificatie van voedingsmiddelen, menselijke coaches. TDEE-motor op Mifflin-St Jeor 1990, zonder vetpercentage of adaptatie.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: BMR op echt vetpercentage, automatische metabole adaptatie, NEAT op echte stappen tegenover psychologische coaching bovenop een simplistische TDEE-berekening.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/nl\/lean-vs-foodvisor\/\" aria-label=\"Comparateur 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\">Pionier van de AI-fotoscan van een gerecht, solide Franse database, optionele voedingscoaching. TDEE-motor op Mifflin-St Jeor 1990, zonder vetpercentage of adaptatie.<\/p>\n      <p class=\"spoke-edge\">Waar Lean wint: ook AI-fotoscan, maar gekoppeld aan een continu opnieuw samengestelde TDEE (BMR op echt vetpercentage, NEAT op echte stappen, metabole adaptatie) waar Foodvisor bij het bord stopt.<\/p>\n      <span class=\"spoke-cta\">Bekijk de vergelijking &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; Veelgestelde vragen<\/span><\/div>\n  <h2 id=\"faq-h\">Veelgestelde vragen<\/h2>\n  <div class=\"faq\">\n    <details>\n      <summary>Waarom een vergelijkingshub en niet gewoon \u00e9\u00e9n pagina?<\/summary>\n      <div class=\"ans\">Omdat elke calorie-app een ander gebrek heeft. MyFitnessPal steunt op Mifflin-St Jeor 1990 zonder vetpercentage, Cronometer blijft sterk op micronutri\u00ebnten maar negeert de adaptatie, Yazio is ergonomisch maar gebruikt een statische activiteitsco\u00ebffici\u00ebnt. Een hub maakt het mogelijk Lean met elke concurrent te vergelijken op diens eigen wapens, zonder het betoog te verwateren.<\/div>\n    <\/details>\n    <details>\n      <summary>Wat doet Lean anders dan MyFitnessPal en Yazio?<\/summary>\n      <div class=\"ans\">Lean berekent de 5 componenten van de TDEE: BMR op echt vetpercentage via AI BodyScan, NEAT op echte stappen, EAT per sport en MET, TEF per ingenomen macro&rsquo;s, automatische metabole adaptatie week na week. De andere apps stoppen bij een BMR gewicht-lengte-leeftijd plus een statische activiteitsco\u00ebffici\u00ebnt.<\/div>\n    <\/details>\n    <details>\n      <summary>Welke apps worden in deze hub vergeleken?<\/summary>\n      <div class=\"ans\">Vijf grote consumentenapps: MyFitnessPal, Yazio, Cronometer, Lifesum en FatSecret. Elke 1v1-vergelijking bekijkt de TDEE-formule, de voedingsdatabase, de trackingmethodes en de eerlijkheid over de sterke en zwakke punten aan beide kanten.<\/div>\n    <\/details>\n    <details>\n      <summary>Komen er nog vergelijkingen bij?<\/summary>\n      <div class=\"ans\">Ja. Het raster van criteria ligt vast (BMR, NEAT, EAT, TEF, adaptatie, AI-scan). Elke nieuwe consumententracker wordt met dezelfde strengheid doorgelicht. De hub is bewust uitbreidbaar zonder de redactionele samenhang te breken.<\/div>\n    <\/details>\n    <details>\n      <summary>Hoe berekent Lean de metabole adaptatie zonder publieke formule?<\/summary>\n      <div class=\"ans\">Lean steunt op een gepatenteerd eigen model dat het gepubliceerde werk van Rosenbaum, Leibel, M\u00fcller en Westerterp voortzet. Bij een tekort van &minus;500&nbsp;kcal over 4 tot 6 weken stelt de app je TDEE 10 tot 15&nbsp;% naar beneden bij volgens je echte gegevens. Geen enkele andere consumentenapp maakt die berekening vandaag.<\/div>\n    <\/details>\n    <details>\n      <summary>Werkt Lean op Android zoals op iPhone?<\/summary>\n      <div class=\"ans\">Ja, de app is native op iOS en Android. NEAT gevoed door HealthKit op iPhone, Google Fit op Android. De AI BodyScan, de barcodescan en de AI-fotoscan van een gerecht werken identiek op beide platformen.<\/div>\n    <\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Word Lean, blijf Lean<\/h3>\n  <p>iOS en Android. De AI BodyScan werkt met een simpele foto. Geen huidplooimeter, geen impedantieweegschaal, geen 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=\"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\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Verder lezen<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne links<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comparatifs-croises\/\">Gekruiste vergelijkingen: MyFitnessPal of Yazio, Foodvisor of Lifesum<\/a> &middot; 12 duels tussen concurrenten.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">Gratis online TDEE-calculator<\/a> &middot; dezelfde logica als de app, zonder inschrijving.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">De TDEE in detail begrijpen (BMR, NEAT, EAT, TEF, adaptatie)<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/\">Hoe je je calorie\u00ebn correct telt<\/a> &middot; praktische gids.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT: verbruik per stap en activiteit buiten de sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF: de vertering verbrandt calorie\u00ebn<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/alternative-myfitnesspal\/\">Alternatief voor MyFitnessPal: 5 apps vergeleken<\/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>Vergelijkingshub gepubliceerd op 22 mei 2026 door het Lean-team. Bijgewerkt bij elke toevoeging van een nieuwe 1v1-vergelijking. Lean is beschikbaar op iOS en 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>Vergelijkingen van calorie-apps: Lean tegenover MyFitnessPal, Yazio en 4 andere<\/title>\n<meta name=\"description\" content=\"Vergelijking van Lean tegenover de 6 grote calorietrackers. TDEE-formule, AI BodyScan, metabole adaptatie. 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