{"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\/es\/comparatifs\/","title":{"rendered":"Comparativas de apps de calor\u00edas: Lean frente a MyFitnessPal, Yazio y 4 m\u00e1s"},"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\/es\/\" aria-label=\"Inicio 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\/es\/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=\"Descargar en el 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 en 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\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; Comparativas<\/div>\n  <div class=\"eyebrow\">Comparativas &middot; Hub<\/div>\n  <h1 id=\"title\">Todas las comparativas de Lean.\n    <span class=\"alt\">Una sola f\u00f3rmula que lo cambia todo frente a las grandes apps de calor\u00edas.<\/span>\n  <\/h1>\n  <p class=\"dek\">Cada tracker tradicional (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcula tu gasto cal\u00f3rico con una f\u00f3rmula de 1919 o 1990, sin grasa corporal ni adaptaci\u00f3n. Aqu\u00ed la comparaci\u00f3n l\u00ednea a l\u00ednea, honesta, sin palabrer\u00eda 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>El equipo Lean<\/strong> &middot; Lectura 9&nbsp;min &middot; Actualizado el 22 de mayo 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\">Descarga gratuita<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      \u00bfComparas Lean con MyFitnessPal, Yazio, Cronometer, Lifesum o FatSecret? Cada comparativa 1v1 mira la misma parrilla de criterios: BMR sobre grasa corporal real, NEAT medido, EAT por deporte, TEF por macros, adaptaci\u00f3n metab\u00f3lica. Cinco componentes. Ni uno 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>Demostraci\u00f3n interactiva<\/small>Toca la pantalla para explorar la aplicaci\u00f3n<\/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>Demostraci\u00f3n interactiva<\/small>Toca la pantalla<br>para explorar la aplicaci\u00f3n<\/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=\"Vista general de la aplicaci\u00f3n Lean con desglose del TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista previa Lean, pesta\u00f1a Gasto cal\u00f3rico con detalle 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=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar por la aplicaci\u00f3n Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Respuesta r\u00e1pida<\/div>\n    <p>Ninguna de las 5 grandes apps de calor\u00edas (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcula los 5 componentes del TDEE. Todas se quedan en una f\u00f3rmula BMR peso-altura-edad, m\u00e1s un coeficiente de actividad est\u00e1tico elegido en el registro. Lean es la \u00fanica que calcula el BMR sobre grasa corporal real mediante BodyScan IA, el NEAT sobre los pasos medidos, el EAT por deporte y MET, el TEF por macros ingeridos, y la adaptaci\u00f3n metab\u00f3lica autom\u00e1tica semana a 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\">Primera constataci\u00f3n<\/h2>\n  <div class=\"statement\">\n    <p class=\"lbl\">TDEE = BMR + NEAT + EAT + TEF. M\u00e1s la adaptaci\u00f3n metab\u00f3lica que modula el BMR. Ninguna otra app calcula los 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 qu\u00e9 el c\u00e1lculo cal\u00f3rico est\u00e1 roto en todas partes<\/h2>\n  <p>Descargas una app de calor\u00edas. Introduces tu peso, tu altura, tu edad, tu sexo. La app te pide marcar una casilla de actividad (sedentario \/ poco activo \/ activo \/ muy activo). Y te saca un gasto cal\u00f3rico diario, tu TDEE. Ese TDEE se convierte en tu referencia para adelgazar, ganar m\u00fasculo, mantener. El problema es que ese TDEE est\u00e1 casi siempre mal en 300 a 800&nbsp;kcal. No por malicia. Por pereza cient\u00edfica.<\/p>\n  <p>\u00bfLa causa profunda? Todas estas apps usan una f\u00f3rmula de <strong>1919 (Harris-Benedict)<\/strong> o su versi\u00f3n repintada de <strong>1990 (Mifflin-St Jeor)<\/strong> para estimar tu metabolismo basal. Estas f\u00f3rmulas dependen \u00fanicamente del peso, la altura, la edad y el sexo. <strong>No de la grasa corporal<\/strong>. Y la masa grasa gasta muy poca energ\u00eda comparada con la masa magra. Dos hombres de 80&nbsp;kg, uno al 10&nbsp;% de grasa corporal, el otro al 30&nbsp;%, no tienen el mismo metabolismo. Pero MFP, Yazio, Cronometer, Lifesum, FatSecret les dan el mismo valor.<\/p>\n  <p>Luego el coeficiente de actividad multiplica ese BMR falso por un n\u00famero casi aleatorio. Viene despu\u00e9s la adaptaci\u00f3n metab\u00f3lica, totalmente ignorada. Viene por \u00faltimo el TEF (digesti\u00f3n), congelado en un 10&nbsp;% fijo en lugar de calcularse sobre los macros ingeridos. Cuatro aproximaciones en cascada. El TDEE final ya no tiene nada que ver con tu realidad.<\/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 grasa corporal real<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <p>Lean parti\u00f3 de cero con otra obsesi\u00f3n: calcular cada componente con precisi\u00f3n, no aproximarlo. El BMR se calcula mediante un <strong>modelo propietario patentado<\/strong> que depende de la masa magra. La masa magra, calculada a su vez a partir de la grasa corporal. La grasa corporal, medida cada semana mediante una simple foto (BodyScan IA). El NEAT viene de los pasos reales (HealthKit \/ Google Fit), no de una casilla est\u00e1tica. El EAT viene del MET de cada deporte, ponderado por el tiempo efectivo. El TEF se calcula seg\u00fan tus macros. La adaptaci\u00f3n se ajusta semana a semana seg\u00fan tu 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; Tabla comparativa<\/span><\/div>\n  <h2 id=\"tab\">Lean frente a las 5 grandes apps, criterio por criterio<\/h2>\n  <p>Seis criterios que describen realmente la precisi\u00f3n de un tracker. Ning\u00fan criterio se refiere al precio.<\/p>\n  <div class=\"htable\" role=\"table\" aria-label=\"Comparativa Lean frente a 5 apps de calor\u00edas principales\">\n    <div class=\"htable-row head\" role=\"row\">\n      <div class=\"crit-head\" role=\"columnheader\">Criterio<\/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 grasa 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 (pasos + actividad fuera del deporte)<\/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 (calor\u00edas por sesi\u00f3n)<\/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\">Adaptaci\u00f3n 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\">Escaneo IA de comida (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>Lectura honesta.<\/strong> Cronometer sigue siendo muy s\u00f3lido en el c\u00e1lculo del TEF por macros (herencia de su filosof\u00eda micronutricional rigurosa) y ofrece un seguimiento por sesi\u00f3n m\u00e1s fino que los otros competidores. Pero ninguno de los 5 calcula la adaptaci\u00f3n metab\u00f3lica, y ninguno basa su BMR en la grasa corporal real. El escaneo IA de platos sigue siendo un punto d\u00e9bil general: MFP ofrece un modo c\u00e1mara limitado, FatSecret solo ofrece el 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\">Lo que Lean hace de forma diferente<\/h2>\n  <p>Tres pilares de m\u00e9todo. Sin coeficiente m\u00e1gico, sin casilla est\u00e1tica, sin estimaci\u00f3n a tanto alzado.<\/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 patentado<\/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>Adaptaci\u00f3n auto<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <h2 id=\"methode-bmr\" style=\"margin-top:32px\">BMR sobre masa magra, no sobre tu peso<\/h2>\n  <p class=\"lead-bullet\"><strong>BMR mediante modelo propietario patentado<\/strong>, basado en la masa magra deducida de la grasa corporal real medida cada semana por BodyScan IA. Una foto, 5 segundos.<\/p>\n  <p>El BMR es el primer ladrillo del TDEE y el primer error de los competidores. Lean rechaza Harris-Benedict, rechaza Mifflin-St Jeor y aplica un modelo propietario patentado que toma la <strong>masa magra<\/strong> como variable principal. Para medir esa masa magra sin un DEXA de 100&nbsp;\u20ac por semana, la app usa <strong>BodyScan IA<\/strong>&nbsp;: una foto tuya en ropa interior, un modelo entrenado sobre base DEXA, tu grasa corporal estimada en unos segundos. Repetido cada semana. El BMR se reajusta autom\u00e1ticamente.<\/p>\n  <h2 id=\"methode-neat-eat-tef\" style=\"margin-top:32px\">NEAT, EAT, TEF: medidos, no estimados<\/h2>\n  <p class=\"lead-bullet\"><strong>NEAT, EAT, TEF calculados por separado<\/strong>, a partir de datos medidos. Sin coeficiente de actividad que marcar.<\/p>\n  <p><strong>NEAT.<\/strong> Tus pasos reales, recuperados mediante HealthKit (iOS) o Google Fit (Android), cruzados con tu BMR. Sin declaraci\u00f3n, sin estimaci\u00f3n a ojo. <strong>EAT.<\/strong> Para cada sesi\u00f3n de deporte, eliges el deporte (musculaci\u00f3n, carrera, tenis, nataci\u00f3n, etc.) y Lean aplica su MET (Metabolic Equivalent Task) sobre el tiempo efectivo (no el tiempo total con las pausas, el error que cometen el 100&nbsp;% de los relojes conectados). <strong>TEF.<\/strong> Las prote\u00ednas cuestan del 20 al 30&nbsp;% en digesti\u00f3n, los carbohidratos del 5 al 10&nbsp;%, las grasas del 1 al 3&nbsp;%. Lean calcula tu TEF sobre la composici\u00f3n exacta de tus macros, no una tarifa fija del 10&nbsp;%.<\/p>\n  <h2 id=\"methode-adaptation\" style=\"margin-top:32px\">Adaptaci\u00f3n metab\u00f3lica: el ladrillo que nadie calcula<\/h2>\n  <p class=\"lead-bullet\"><strong>Adaptaci\u00f3n metab\u00f3lica autom\u00e1tica.<\/strong> Primera app de consumo en hacerlo, que sepamos. Modelo propietario patentado.<\/p>\n  <p>Cuando est\u00e1s en d\u00e9ficit prolongado, tu cuerpo pasa a modo ahorro. Tu BMR baja, tu NEAT baja, tu TDEE baja. Para un d\u00e9ficit de &minus;500&nbsp;kcal\/d\u00eda, la adaptaci\u00f3n alcanza del 10 al 15&nbsp;% en 4 a 6 semanas. Es la raz\u00f3n principal de las mesetas que nadie sabe explicar. Lean ajusta tu TDEE a la baja semana a semana seg\u00fan tu d\u00e9ficit acumulado, sin pedirte nada. Cuando la adaptaci\u00f3n alcanza del 10 al 15&nbsp;%, la app puede aconsejarte una vuelta al mantenimiento para reiniciar tu BMR antes de volver al d\u00e9ficit.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Ver tu TDEE real desglosado, sin coeficiente de actividad que elegir. Descarga gratuita.<\/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; Comparaciones<\/span><\/div>\n  <h2 id=\"spokes\">Las 5 alternativas a examinar<\/h2>\n  <p>Cada tarjeta abre una comparativa 1v1 completa: tabla honesta, scorecard donde el competidor gana cuando gana, y lista detallada de las diferencias.<\/p>\n  <div class=\"spoke-grid\">\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/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\">El est\u00e1ndar hist\u00f3rico del calorie counting. Base comunitaria masiva, Mifflin-St Jeor 1990, coeficiente de actividad de 4 casillas.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: BMR sobre grasa corporal real, adaptaci\u00f3n metab\u00f3lica autom\u00e1tica, escaneo IA de platos ilimitado frente a una base ruidosa y un BMR solo por peso.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/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\">Ergonom\u00eda cuidada, planes de comidas, audiencia europea fuerte. TEF estimado por categor\u00eda de alimentos, sin modelo de grasa corporal.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: BodyScan IA, NEAT medido sobre los pasos, EAT por MET de deporte, adaptaci\u00f3n metab\u00f3lica frente a un coeficiente de actividad est\u00e1tico.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/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\">Referencia en micronutrientes, base de alimentos NCCDB rigurosa, aclamada por los dietistas. Se queda en Mifflin-St Jeor 1990 sin grasa corporal en el TDEE.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: BMR sobre grasa corporal real mediante BodyScan IA, adaptaci\u00f3n metab\u00f3lica autom\u00e1tica, NEAT sobre pasos reales frente a un coeficiente de actividad congelado en el registro.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/lean-vs-lifesum\/\" aria-label=\"Comparador Lean vs Lifesum (pr\u00f3ximamente)\">\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 escandinava, dietas preconstruidas (keto, vegana, paleo), puntuaci\u00f3n nutricional diaria. C\u00e1lculo del TDEE simplista.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: la precisi\u00f3n cient\u00edfica sustituye a las recetas lifestyle. BMR sobre grasa corporal, 5 componentes del TDEE calculados por separado, adaptaci\u00f3n autom\u00e1tica.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/lean-vs-fatsecret\/\" aria-label=\"Comparador Lean vs FatSecret (pr\u00f3ximamente)\">\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 gratuita b\u00e1sica, amplio cat\u00e1logo comunitario, escaneo de c\u00f3digo de barras est\u00e1ndar. Ninguna ambici\u00f3n cient\u00edfica en el TDEE.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: m\u00e9todo cient\u00edfico completo sobre los 5 componentes del TDEE frente a un diario alimentario puramente declarativo.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n  \n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/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, cursos diarios, clasificaci\u00f3n de alimentos verde\/amarillo\/rojo, coaches humanos. Motor del TDEE sobre Mifflin-St Jeor 1990, sin grasa corporal ni adaptaci\u00f3n.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: BMR sobre grasa corporal real, adaptaci\u00f3n metab\u00f3lica autom\u00e1tica, NEAT sobre pasos reales frente a un coaching psicol\u00f3gico apoyado en un c\u00e1lculo del TDEE simplista.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/es\/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\">Pionero del escaneo fotogr\u00e1fico con IA de un plato, base de datos francesa s\u00f3lida, coaching nutricional opcional. Motor del TDEE sobre Mifflin-St Jeor 1990, sin grasa corporal ni adaptaci\u00f3n.<\/p>\n      <p class=\"spoke-edge\">Donde Lean gana: escaneo fotogr\u00e1fico con IA tambi\u00e9n, pero respaldado por un TDEE recompuesto de forma continua (BMR sobre grasa corporal real, NEAT sobre pasos reales, adaptaci\u00f3n metab\u00f3lica) donde Foodvisor se detiene en el plato.<\/p>\n      <span class=\"spoke-cta\">Ver la comparativa &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; Preguntas frecuentes<\/span><\/div>\n  <h2 id=\"faq-h\">Preguntas frecuentes<\/h2>\n  <div class=\"faq\">\n    <details>\n      <summary>\u00bfPor qu\u00e9 un hub de comparativas y no solo una p\u00e1gina?<\/summary>\n      <div class=\"ans\">Porque cada app de calor\u00edas tiene un defecto diferente. MyFitnessPal se apoya en Mifflin-St Jeor 1990 sin grasa corporal, Cronometer sigue fuerte en micronutrientes pero ignora la adaptaci\u00f3n, Yazio es ergon\u00f3mico pero usa un coeficiente de actividad est\u00e1tico. Un hub permite comparar Lean con cada competidor en su propio terreno, sin diluir el mensaje.<\/div>\n    <\/details>\n    <details>\n      <summary>\u00bfQu\u00e9 hace Lean de forma diferente a MyFitnessPal y Yazio?<\/summary>\n      <div class=\"ans\">Lean calcula los 5 componentes del TDEE: BMR sobre grasa corporal real mediante BodyScan IA, NEAT sobre los pasos reales, EAT por deporte y MET, TEF por macros ingeridos, adaptaci\u00f3n metab\u00f3lica autom\u00e1tica semana a semana. Las otras apps se quedan en un BMR peso-altura-edad m\u00e1s un coeficiente de actividad est\u00e1tico.<\/div>\n    <\/details>\n    <details>\n      <summary>\u00bfQu\u00e9 apps se comparan en este hub?<\/summary>\n      <div class=\"ans\">Cinco grandes apps de consumo: MyFitnessPal, Yazio, Cronometer, Lifesum y FatSecret. Cada comparativa 1v1 mira la f\u00f3rmula del TDEE, la base de alimentos, los m\u00e9todos de tracking y la honestidad de las fortalezas y debilidades de cada lado.<\/div>\n    <\/details>\n    <details>\n      <summary>\u00bfSe a\u00f1adir\u00e1n otras comparativas?<\/summary>\n      <div class=\"ans\">S\u00ed. La parrilla de criterios est\u00e1 fijada (BMR, NEAT, EAT, TEF, adaptaci\u00f3n, escaneo IA). Todo nuevo tracker de consumo pasar\u00e1 por el mismo filtro con el mismo rigor. El hub es voluntariamente extensible sin romper la coherencia editorial.<\/div>\n    <\/details>\n    <details>\n      <summary>\u00bfC\u00f3mo calcula Lean la adaptaci\u00f3n metab\u00f3lica sin f\u00f3rmula p\u00fablica?<\/summary>\n      <div class=\"ans\">Lean se apoya en un modelo propietario patentado que prolonga los trabajos publicados por Rosenbaum, Leibel, M\u00fcller y Westerterp. Con un d\u00e9ficit de &minus;500&nbsp;kcal durante 4 a 6 semanas, la app ajusta tu TDEE a la baja entre un 10 y un 15&nbsp;% seg\u00fan tus datos reales. Ninguna otra app de consumo hace este c\u00e1lculo a d\u00eda de hoy.<\/div>\n    <\/details>\n    <details>\n      <summary>\u00bfLean funciona en Android como en iPhone?<\/summary>\n      <div class=\"ans\">S\u00ed, la app es nativa en iOS y Android. NEAT alimentado por HealthKit en iPhone, Google Fit en Android. El BodyScan IA, el escaneo de c\u00f3digo de barras, el escaneo fotogr\u00e1fico con IA de un plato funcionan de forma id\u00e9ntica en las dos plataformas.<\/div>\n    <\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Descarga<\/div>\n  <h3>Hazte Lean, mantente Lean<\/h3>\n  <p>iOS y Android. El BodyScan IA funciona con una simple foto. Sin plic\u00f3metro, sin b\u00e1scula de impedancia, sin 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=\"Descargar Lean en la 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=\"Descargar Lean en 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 m\u00e1s lejos<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Enlaces internos<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/comparatifs-croises\/\">Comparativas cruzadas: MyFitnessPal o Yazio, Foodvisor o Lifesum<\/a> &middot; 12 duelos entre competidores.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/tdee-calculator\/\">Calculadora TDEE gratuita en l\u00ednea<\/a> &middot; misma l\u00f3gica que la app, sin registro.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/depense-energetique-totale-v2\/\">Entender el TDEE en detalle (BMR, NEAT, EAT, TEF, adaptaci\u00f3n)<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/comment-compter-ses-calories\/\">C\u00f3mo contar tus calor\u00edas correctamente<\/a> &middot; gu\u00eda pr\u00e1ctica.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/neat-depense-non-sportive\/\">NEAT&nbsp;: gasto por pasos y actividad fuera del deporte<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/effet-thermique-des-aliments\/\">TEF&nbsp;: la digesti\u00f3n quema calor\u00edas<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/es\/alternative-myfitnesspal\/\">Alternativa a MyFitnessPal: 5 apps comparadas<\/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 comparativas publicado el 22 de mayo de 2026 por el equipo Lean. Actualizado con cada nueva comparativa 1v1. Lean est\u00e1 disponible en iOS y 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 calor\u00edas: Cronometer, Yazio, FatSecret - Lean<\/title>\n<meta name=\"description\" content=\"Comparativa de Lean frente a los 6 grandes trackers de calor\u00edas. 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