{"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\/pt\/comparatifs\/","title":{"rendered":"Comparativos de apps de calorias: Lean diante do MyFitnessPal, Yazio e 4 outros"},"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\/pt\/\" aria-label=\"In\u00edcio 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\/pt\/tdee-calculator\/\">Calculadora TDEE<\/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=\"Baixar na 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=\"Dispon\u00edvel no 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\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; Comparativos<\/div>\n  <div class=\"eyebrow\">Comparativos &middot; Hub<\/div>\n  <h1 id=\"title\">Todos os comparativos Lean.\n    <span class=\"alt\">Uma \u00fanica f\u00f3rmula que muda tudo diante dos principais apps de calorias.<\/span>\n  <\/h1>\n  <p class=\"dek\">Cada tracker tradicional (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcula seu gasto cal\u00f3rico com uma f\u00f3rmula de 1919 ou 1990, sem gordura corporal nem adapta\u00e7\u00e3o. Aqui est\u00e1 a compara\u00e7\u00e3o linha por linha, honesta, sem papo de marketing.<\/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>A equipe Lean<\/strong> &middot; Leitura 9&nbsp;min &middot; Atualizado em 22 de maio de 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\">Download gratuito<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Voc\u00ea compara o Lean com MyFitnessPal, Yazio, Cronometer, Lifesum ou FatSecret? Cada comparador 1v1 olha a mesma grade de crit\u00e9rios: BMR sobre gordura corporal real, NEAT medido, EAT por esporte, TEF por macros, adapta\u00e7\u00e3o metab\u00f3lica. Cinco componentes. Nem um a menos.\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>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela para explorar o aplicativo<\/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>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela<br>para explorar o aplicativo<\/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=\"Vis\u00e3o geral do app Lean com detalhamento do TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Voltar\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vis\u00e3o geral Lean, aba Gasto cal\u00f3rico com detalhe 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=\"Detalhe BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Aba Balan\u00e7o\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Aba Calorias\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Aba Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Aba Estrat\u00e9gia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar no app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balan\u00e7o<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorias<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrat\u00e9gia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Resposta r\u00e1pida<\/div>\n    <p>Nenhum dos 5 principais apps de calorias (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcula os 5 componentes do TDEE. Todos param em uma f\u00f3rmula BMR peso-altura-idade, mais um coeficiente de atividade est\u00e1tico escolhido no cadastro. O Lean \u00e9 o \u00fanico a calcular o BMR sobre gordura corporal real via BodyScan IA, o NEAT sobre os passos medidos, o EAT por esporte e MET, o TEF por macros ingeridos, e a adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica semana ap\u00f3s semana.<\/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\">Primeira constata\u00e7\u00e3o<\/h2>\n  <div class=\"statement\">\n    <p class=\"lbl\">TDEE = BMR + NEAT + EAT + TEF. Mais a adapta\u00e7\u00e3o metab\u00f3lica que modula o BMR. Nenhum outro app calcula os 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; Problema<\/span><\/div>\n  <h2 id=\"probleme\">Por que o c\u00e1lculo cal\u00f3rico est\u00e1 quebrado em todo lugar<\/h2>\n  <p>Voc\u00ea baixa um app de calorias. Insere seu peso, sua altura, sua idade, seu sexo. O app pede para marcar uma caixa de atividade (sedent\u00e1rio \/ pouco ativo \/ ativo \/ muito ativo). E te entrega um gasto cal\u00f3rico di\u00e1rio, seu TDEE. Esse TDEE vira sua refer\u00eancia para emagrecer, ganhar m\u00fasculo, manter. O problema \u00e9 que esse TDEE est\u00e1 quase sempre errado em 300 a 800&nbsp;kcal. N\u00e3o por m\u00e1-f\u00e9. Por pregui\u00e7a cient\u00edfica.<\/p>\n  <p>A causa profunda? Todos esses apps usam uma f\u00f3rmula de <strong>1919 (Harris-Benedict)<\/strong> ou sua vers\u00e3o repintada de <strong>1990 (Mifflin-St Jeor)<\/strong> para estimar seu metabolismo basal. Essas f\u00f3rmulas dependem unicamente do peso, da altura, da idade e do sexo. <strong>N\u00e3o da gordura corporal<\/strong>. Ora, a massa gorda gasta muito pouca energia comparada \u00e0 massa magra. Dois homens de 80&nbsp;kg, um com 10&nbsp;% de gordura corporal, o outro com 30&nbsp;%, n\u00e3o t\u00eam o mesmo metabolismo. Mas MFP, Yazio, Cronometer, Lifesum, FatSecret d\u00e3o a eles o mesmo valor.<\/p>\n  <p>Depois o coeficiente de atividade multiplica esse BMR errado por um n\u00famero quase aleat\u00f3rio. Vem em seguida a adapta\u00e7\u00e3o metab\u00f3lica, totalmente ignorada. Vem por fim o TEF (digest\u00e3o), fixado em 10&nbsp;% em vez de calculado sobre os macros ingeridos. Quatro aproxima\u00e7\u00f5es em cascata. O TDEE final n\u00e3o tem mais nada a ver com sua realidade.<\/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>Sobre gordura corporal real<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <p>O Lean partiu do zero com outra obsess\u00e3o: calcular cada componente com precis\u00e3o, n\u00e3o aproxim\u00e1-lo. O BMR \u00e9 calculado via um <strong>modelo propriet\u00e1rio patenteado<\/strong> que depende da massa magra. A massa magra, por sua vez calculada a partir da gordura corporal. A gordura corporal, medida toda semana via uma simples foto (BodyScan IA). O NEAT vem dos passos reais (HealthKit \/ Google Fit), n\u00e3o de uma caixa est\u00e1tica. O EAT vem do MET de cada esporte, ponderado pelo tempo efetivo. O TEF \u00e9 calculado segundo seus macros. A adapta\u00e7\u00e3o \u00e9 ajustada semana ap\u00f3s semana segundo seu d\u00e9ficit acumulado.<\/p>\n<\/section>\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Tabela comparativa<\/span><\/div>\n  <h2 id=\"tab\">Lean diante dos 5 principais apps, crit\u00e9rio por crit\u00e9rio<\/h2>\n  <p>Seis crit\u00e9rios que descrevem realmente a precis\u00e3o de um tracker. Nenhum crit\u00e9rio se refere ao pre\u00e7o.<\/p>\n  <div class=\"htable\" role=\"table\" aria-label=\"Comparativo Lean diante de 5 grandes apps de calorias\">\n    <div class=\"htable-row head\" role=\"row\">\n      <div class=\"crit-head\" role=\"columnheader\">Crit\u00e9rio<\/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 sobre gordura corporal real<\/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\">NEAT autom\u00e1tico (passos + atividade fora do esporte)<\/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 (calorias por treino)<\/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 por macros<\/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\">Adapta\u00e7\u00e3o metab\u00f3lica<\/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\">Scan IA de refei\u00e7\u00e3o (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>Leitura honesta.<\/strong> O Cronometer continua muito s\u00f3lido no c\u00e1lculo do TEF por macros (heran\u00e7a da sua filosofia rigorosa de micronutri\u00e7\u00e3o) e oferece um acompanhamento por treino mais fino do que os outros concorrentes. Mas nenhum dos 5 calcula a adapta\u00e7\u00e3o metab\u00f3lica, e nenhum baseia seu BMR na gordura corporal real. O scan IA de pratos continua sendo um ponto fraco geral: o MFP oferece um modo c\u00e2mera limitado, o FatSecret s\u00f3 oferece o c\u00f3digo de barras.<\/p>\n<\/section>\n<section aria-labelledby=\"methode\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; M\u00e9todo Lean<\/span><\/div>\n  <h2 id=\"methode\">O que o Lean faz de diferente<\/h2>\n  <p>Tr\u00eas pilares de m\u00e9todo. Sem coeficiente m\u00e1gico, sem caixa est\u00e1tica, sem estimativa fixa.<\/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>BMR patenteado<\/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>NEAT medido<\/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>Adapta\u00e7\u00e3o autom\u00e1tica<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <h2 id=\"methode-bmr\" style=\"margin-top:32px\">BMR sobre massa magra, n\u00e3o sobre seu peso<\/h2>\n  <p class=\"lead-bullet\"><strong>BMR via modelo propriet\u00e1rio patenteado<\/strong>, baseado na massa magra deduzida da gordura corporal real medida toda semana por BodyScan IA. Uma foto, 5 segundos.<\/p>\n  <p>O BMR \u00e9 o primeiro tijolo do TDEE e o primeiro erro dos concorrentes. O Lean recusa Harris-Benedict, recusa Mifflin-St Jeor, e aplica um modelo propriet\u00e1rio patenteado que toma a <strong>massa magra<\/strong> como vari\u00e1vel principal. Para medir essa massa magra sem DEXA scan a 100&nbsp;\u20ac por semana, o app usa <strong>BodyScan IA<\/strong>&nbsp;: uma foto sua de roupa \u00edntima, um modelo treinado em banco DEXA, sua gordura corporal estimada em alguns segundos. Refeito toda semana. O BMR se reajusta automaticamente.<\/p>\n  <h2 id=\"methode-neat-eat-tef\" style=\"margin-top:32px\">NEAT, EAT, TEF: medidos, n\u00e3o estimados<\/h2>\n  <p class=\"lead-bullet\"><strong>NEAT, EAT, TEF calculados separadamente<\/strong>, a partir de dados medidos. Sem coeficiente de atividade a marcar.<\/p>\n  <p><strong>NEAT.<\/strong> Seus passos reais, recuperados via HealthKit (iOS) ou Google Fit (Android), cruzados com seu BMR. Sem declara\u00e7\u00e3o, sem estimativa a olho. <strong>EAT.<\/strong> Para cada treino, voc\u00ea escolhe o esporte (muscula\u00e7\u00e3o, corrida, t\u00eanis, nata\u00e7\u00e3o etc.) e o Lean aplica seu MET (Metabolic Equivalent Task) sobre o tempo efetivo (n\u00e3o o tempo total com as pausas, o erro que 100&nbsp;% dos rel\u00f3gios conectados cometem). <strong>TEF.<\/strong> As prote\u00ednas custam de 20 a 30&nbsp;% em digest\u00e3o, os carboidratos de 5 a 10&nbsp;%, as gorduras de 1 a 3&nbsp;%. O Lean calcula seu TEF sobre a composi\u00e7\u00e3o exata dos seus macros, n\u00e3o uma taxa fixa de 10&nbsp;%.<\/p>\n  <h2 id=\"methode-adaptation\" style=\"margin-top:32px\">Adapta\u00e7\u00e3o metab\u00f3lica: o tijolo que ningu\u00e9m calcula<\/h2>\n  <p class=\"lead-bullet\"><strong>Adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica.<\/strong> Primeiro app de consumo a fazer isso, que saibamos. Modelo propriet\u00e1rio patenteado.<\/p>\n  <p>Quando voc\u00ea est\u00e1 em d\u00e9ficit prolongado, seu corpo passa para o modo economia. Seu BMR cai, seu NEAT cai, seu TDEE cai. Para um d\u00e9ficit de &minus;500&nbsp;kcal\/dia, a adapta\u00e7\u00e3o atinge de 10 a 15&nbsp;% em 4 a 6 semanas. \u00c9 a raz\u00e3o principal dos plat\u00f4s que ningu\u00e9m sabe explicar. O Lean ajusta seu TDEE para baixo semana ap\u00f3s semana segundo seu d\u00e9ficit acumulado, sem te pedir nada. Quando a adapta\u00e7\u00e3o atinge de 10 a 15&nbsp;%, o app pode te aconselhar um retorno \u00e0 manuten\u00e7\u00e3o para reiniciar seu BMR antes de voltar ao d\u00e9ficit.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Ver seu TDEE real decomposto, sem coeficiente de atividade a escolher. Download gratuito.<\/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; Compara\u00e7\u00f5es<\/span><\/div>\n  <h2 id=\"spokes\">As 5 alternativas a examinar<\/h2>\n  <p>Cada card abre um comparador 1v1 completo: tabela honesta, scorecard em que o concorrente ganha quando ganha, e lista detalhada das diferen\u00e7as.<\/p>\n  <div class=\"spoke-grid\">\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/\" aria-label=\"Comparador 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\">O padr\u00e3o hist\u00f3rico da contagem de calorias. Base comunit\u00e1ria massiva, Mifflin-St Jeor 1990, coeficiente de atividade com 4 caixas.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: BMR sobre gordura corporal real, adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica, scan IA de pratos ilimitado diante de uma base ruidosa e um BMR s\u00f3 pelo peso.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-yazio\/\" aria-label=\"Comparador 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\">Ergonomia caprichada, planos de refei\u00e7\u00f5es, p\u00fablico europeu forte. TEF estimado por categoria de alimentos, sem modelo de gordura corporal.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: BodyScan IA, NEAT medido sobre os passos, EAT por MET de esporte, adapta\u00e7\u00e3o metab\u00f3lica diante de um coeficiente de atividade est\u00e1tico.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-cronometer\/\" aria-label=\"Comparador 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\">Refer\u00eancia dos micronutrientes, base de alimentos NCCDB rigorosa, aclamado pelos nutricionistas. Fica em Mifflin-St Jeor 1990 sem gordura corporal no TDEE.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: BMR sobre gordura corporal real via BodyScan IA, adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica, NEAT sobre passos reais diante de um coeficiente de atividade congelado no cadastro.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-lifesum\/\" aria-label=\"Comparador Lean vs Lifesum (em breve)\">\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\">App lifestyle escandinavo, dietas pr\u00e9-constru\u00eddas (keto, vegana, paleo), pontua\u00e7\u00e3o nutricional di\u00e1ria. C\u00e1lculo de TDEE simplista.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: a precis\u00e3o cient\u00edfica substitui as receitas lifestyle. BMR sobre gordura corporal, 5 componentes do TDEE calculados separadamente, adapta\u00e7\u00e3o autom\u00e1tica.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-fatsecret\/\" aria-label=\"Comparador Lean vs FatSecret (em breve)\">\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\">App gratuito b\u00e1sico, amplo cat\u00e1logo comunit\u00e1rio, scan de c\u00f3digo de barras padr\u00e3o. Nenhuma ambi\u00e7\u00e3o cient\u00edfica no TDEE.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: m\u00e9todo cient\u00edfico completo sobre os 5 componentes do TDEE diante de um di\u00e1rio alimentar puramente declarativo.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n  \n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-noom\/\" aria-label=\"Comparador 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\">Coaching psicol\u00f3gico, aulas di\u00e1rias, classifica\u00e7\u00e3o de alimentos verde\/amarelo\/vermelho, coaches humanos. Motor de TDEE em Mifflin-St Jeor 1990, sem gordura corporal nem adapta\u00e7\u00e3o.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: BMR sobre gordura corporal real, adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica, NEAT sobre passos reais diante de um coaching psicol\u00f3gico apoiado em um c\u00e1lculo de TDEE simplista.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/pt\/lean-vs-foodvisor\/\" aria-label=\"Comparador 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\">Pioneiro do scan de foto por IA de um prato, base de dados francesa s\u00f3lida, coaching nutricional opcional. Motor de TDEE em Mifflin-St Jeor 1990, sem gordura corporal nem adapta\u00e7\u00e3o.<\/p>\n      <p class=\"spoke-edge\">Onde o Lean ganha: scan de foto por IA tamb\u00e9m, mas apoiado em um TDEE recomposto continuamente (BMR sobre gordura corporal real, NEAT sobre passos reais, adapta\u00e7\u00e3o metab\u00f3lica) onde o Foodvisor para no prato.<\/p>\n      <span class=\"spoke-cta\">Ver o comparativo &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; Perguntas frequentes<\/span><\/div>\n  <h2 id=\"faq-h\">Perguntas frequentes<\/h2>\n  <div class=\"faq\">\n    <details>\n      <summary>Por que um hub de comparativos e n\u00e3o s\u00f3 uma p\u00e1gina?<\/summary>\n      <div class=\"ans\">Porque cada app de calorias tem um defeito diferente. O MyFitnessPal se apoia em Mifflin-St Jeor 1990 sem gordura corporal, o Cronometer continua forte nos micronutrientes mas ignora a adapta\u00e7\u00e3o, o Yazio \u00e9 ergon\u00f4mico mas usa um coeficiente de atividade est\u00e1tico. Um hub permite comparar o Lean com cada concorrente nas pr\u00f3prias armas dele, sem diluir o argumento.<\/div>\n    <\/details>\n    <details>\n      <summary>O que o Lean faz de diferente do MyFitnessPal e do Yazio?<\/summary>\n      <div class=\"ans\">O Lean calcula os 5 componentes do TDEE: BMR sobre gordura corporal real via BodyScan IA, NEAT sobre os passos reais, EAT por esporte e MET, TEF por macros ingeridos, adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica semana ap\u00f3s semana. Os outros apps param em um BMR peso-altura-idade mais um coeficiente de atividade est\u00e1tico.<\/div>\n    <\/details>\n    <details>\n      <summary>Quais apps s\u00e3o comparados neste hub?<\/summary>\n      <div class=\"ans\">Cinco grandes apps de consumo: MyFitnessPal, Yazio, Cronometer, Lifesum e FatSecret. Cada comparador 1v1 olha a f\u00f3rmula de TDEE, a base de alimentos, os m\u00e9todos de tracking e a honestidade dos pontos fortes e fracos de cada lado.<\/div>\n    <\/details>\n    <details>\n      <summary>Outros comparadores ser\u00e3o adicionados?<\/summary>\n      <div class=\"ans\">Sim. A grade de crit\u00e9rios est\u00e1 fixada (BMR, NEAT, EAT, TEF, adapta\u00e7\u00e3o, scan IA). Todo novo tracker de consumo ser\u00e1 passado pelo crivo com o mesmo rigor. O hub \u00e9 deliberadamente extens\u00edvel sem quebrar a coer\u00eancia editorial.<\/div>\n    <\/details>\n    <details>\n      <summary>Como o Lean calcula a adapta\u00e7\u00e3o metab\u00f3lica sem f\u00f3rmula p\u00fablica?<\/summary>\n      <div class=\"ans\">O Lean se apoia em um modelo propriet\u00e1rio patenteado que prolonga os trabalhos publicados por Rosenbaum, Leibel, M\u00fcller e Westerterp. Com d\u00e9ficit de &minus;500&nbsp;kcal em 4 a 6 semanas, o app ajusta seu TDEE para baixo de 10 a 15&nbsp;% segundo seus dados reais. Nenhum outro app de consumo faz esse c\u00e1lculo at\u00e9 hoje.<\/div>\n    <\/details>\n    <details>\n      <summary>O Lean funciona no Android como no iPhone?<\/summary>\n      <div class=\"ans\">Sim, o app \u00e9 nativo iOS e Android. NEAT alimentado pelo HealthKit no iPhone, Google Fit no Android. O BodyScan IA, o scan de c\u00f3digo de barras, o scan de foto por IA de um prato funcionam de forma id\u00eantica nas duas plataformas.<\/div>\n    <\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Fique Lean, continue Lean<\/h3>\n  <p>iOS e Android. O BodyScan IA funciona com uma simples foto. Sem adip\u00f4metro, sem balan\u00e7a de bioimped\u00e2ncia, sem 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=\"Baixar o Lean na 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=\"Baixar o Lean no 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\">Para ir al\u00e9m<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Links internos<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comparatifs-croises\/\">Comparativos cruzados: MyFitnessPal ou Yazio, Foodvisor ou Lifesum<\/a> &middot; 12 duelos entre concorrentes.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">Calculadora TDEE gratuita online<\/a> &middot; mesma l\u00f3gica do app, sem cadastro.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Entender o TDEE em detalhe (BMR, NEAT, EAT, TEF, adapta\u00e7\u00e3o)<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">Como contar suas calorias corretamente<\/a> &middot; guia pr\u00e1tico.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT&nbsp;: gasto por passos e atividade fora do esporte<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF&nbsp;: a digest\u00e3o queima calorias<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/alternative-myfitnesspal\/\">Alternativa ao MyFitnessPal: 5 apps comparados<\/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>Hub de comparativos publicado em 22 de maio de 2026 pela equipe Lean. Atualizado a cada adi\u00e7\u00e3o de um novo comparador 1v1. O Lean est\u00e1 dispon\u00edvel para iOS e 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>Apps de calorias: Cronometer, Yazio, FatSecret - Lean<\/title>\n<meta name=\"description\" content=\"Comparativo do Lean diante dos 6 grandes trackers de calorias. 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