{"id":1241,"date":"2026-05-21T18:28:26","date_gmt":"2026-05-21T18:28:26","guid":{"rendered":"https:\/\/lean-app.com\/?p=1241"},"modified":"2026-08-22T17:49:10","modified_gmt":"2026-08-22T17:49:10","slug":"lean-vs-myfitnesspal","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal: a f\u00f3rmula TDEE que muda tudo"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #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-1241 #lvm-shell .wrap,\nbody.postid-1241 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #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-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1241 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1241 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1241 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1241 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1241 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"MFP\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#5B7FFF!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1241 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1241 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1241 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1241 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1241 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1241 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1241 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1241 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1241 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1241 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/pt\/\" aria-label=\"Accueil Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/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?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">Comparatif &middot; Nutrition &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">La formule TDEE qui change tout. 1919 face \u00e0 2025, en science.<\/span>\n  <\/h1>\n  <p class=\"dek\">Pourquoi MyFitnessPal se trompe sur 80&nbsp;% des utilisateurs, et l&rsquo;alternative qui fait ce que MFP ne sait pas faire.<\/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; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 21 mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" 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\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal calcule votre TDEE avec une formule de 1919 (Harris-Benedict) sans bodyfat, plus un coefficient d&rsquo;activit\u00e9 quasiment al\u00e9atoire, et ignore l&rsquo;adaptation m\u00e9tabolique. Votre objectif peut \u00eatre faux de 500 \u00e0 800&nbsp;kcal. Lean recalcule chaque composant pr\u00e9cis\u00e9ment, sans coefficient \u00e0 choisir.\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=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Retour\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Onglet D\u00e9pense\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">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\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">R\u00e9ponse rapide<\/div>\n    <p>MyFitnessPal calcule votre TDEE avec une formule de 1919 (Harris-Benedict) sans bodyfat, plus un coefficient d&rsquo;activit\u00e9 quasiment al\u00e9atoire, et ignore l&rsquo;adaptation m\u00e9tabolique. Votre objectif calorique peut \u00eatre faux de 500 \u00e0 800&nbsp;kcal. Lean recalcule chaque composant (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energia gasta em repouso. Na Lean, calculada sobre a massa magra real via BodyScan IA.<\/span><\/span> sur bodyfat r\u00e9el, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. D\u00e9pense li\u00e9e aux pas et activit\u00e9s quotidiennes hors sport.<\/span><\/span> par pas, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. D\u00e9pense li\u00e9e \u00e0 vos s\u00e9ances de sport, calcul\u00e9e via MET.<\/span><\/span> par MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. \u00c9nergie d\u00e9pens\u00e9e par la digestion. D\u00e9pend des macros ing\u00e9r\u00e9es.<\/span><\/span> par macros, adaptation m\u00e9tabolique automatique) sans coefficient d&rsquo;activit\u00e9 \u00e0 choisir.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; Le constat<\/span><\/div>\n  <h2 id=\"constat\">Pourquoi 80&nbsp;% des utilisateurs MFP ne perdent pas de poids malgr\u00e9 un \u00ab&nbsp;d\u00e9ficit&nbsp;\u00bb<\/h2>\n  <p>Si vous lisez \u00e7a, vous \u00eates probablement pass\u00e9 par l\u00e0. Vous avez t\u00e9l\u00e9charg\u00e9 MyFitnessPal, vous avez rempli votre profil, l&rsquo;app vous a dit \u00ab&nbsp;votre <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. La formule BMR + NEAT + EAT + TEF, plus l&rsquo;adaptation m\u00e9tabolique qui module le BMR.<\/span><\/span> est de 2&nbsp;500&nbsp;kcal par jour, mangez 2&nbsp;250&nbsp;kcal pour perdre du poids&nbsp;\u00bb. Vous l&rsquo;avez fait. Religieusement. Vous avez pes\u00e9 vos aliments. Vous \u00eates m\u00eame pass\u00e9 Premium. Et \u00e0 la fin du mois, vous \u00eates au m\u00eame poids. Voire un peu plus lourd.<\/p>\n  <p>Vous vous dites&nbsp;: \u00ab&nbsp;j&rsquo;ai d\u00fb mal tracker, j&rsquo;ai d\u00fb sous-estimer mes calories&nbsp;\u00bb. Vous serrez la vis. Vous descendez \u00e0 2&nbsp;000&nbsp;kcal. L\u00e0 encore, rien.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">des utilisateurs MFP stagnent malgr\u00e9 un d\u00e9ficit th\u00e9orique. Le probl\u00e8me n&rsquo;est pas leur volont\u00e9. C&rsquo;est le calcul de leur TDEE.<\/div>\n  <\/div>\n\n  <p>Imaginons que MFP vous affiche une TDEE de 2&nbsp;500&nbsp;kcal. Vous mangez 2&nbsp;250 (d\u00e9ficit th\u00e9orique de 250&nbsp;kcal). Mais en r\u00e9alit\u00e9, votre <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">TDEE est de 2&nbsp;200&nbsp;kcal<\/a>. Et bien il n&rsquo;y a aucune chance, je dis bien <strong>aucune chance<\/strong>, que vous perdiez du poids. Vous \u00eates en surplus de 50&nbsp;kcal sans le savoir.<\/p>\n  <p>C&rsquo;est pour \u00e7a qu&rsquo;il est crucial, hyper important, de <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">calculer parfaitement votre d\u00e9pense<\/a>. Et c&rsquo;est exactement l\u00e0 o\u00f9 MyFitnessPal \u00e9choue.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Probl\u00e8me 1<\/span><\/div>\n  <h2 id=\"p1\">La formule BMR de 1919<\/h2>\n  <p>Pour calculer votre m\u00e9tabolisme de base (le BMR, l&rsquo;\u00e9nergie que vous br\u00fblez au repos), MyFitnessPal utilise l&rsquo;\u00e9quation de Harris-Benedict. Ou sa d\u00e9riv\u00e9e directe, Mifflin-St Jeor. Selon les versions de l&rsquo;app.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 1 &middot; Homme 1m80, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Comparaison BMR Harris-Benedict 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>BMR estim\u00e9.<\/strong> Le mod\u00e8le propri\u00e9taire brevet\u00e9 Lean prend en compte la masse maigre. Harris-Benedict (MFP), non. \u00c9cart de 500&nbsp;kcal, l&rsquo;\u00e9quivalent d&rsquo;un d\u00e9jeuner entier.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict, c&rsquo;est 1919. On est \u00e0 la sortie de la Premi\u00e8re Guerre mondiale. Deux chercheurs prennent 239 personnes, dans une seule ville (Boston), les allongent dans un lit avec un masque pour calculer l&rsquo;oxyg\u00e8ne consomm\u00e9, et en sortent une formule qui d\u00e9pend du poids, de la taille, de l&rsquo;\u00e2ge et du sexe.<\/p>\n  <p>Pour l&rsquo;\u00e9poque, c&rsquo;\u00e9tait novateur. En 2025, c&rsquo;est inutilisable. Trois raisons&nbsp;:<\/p>\n  <ol>\n    <li><strong>L&rsquo;\u00e9chantillon est ridicule<\/strong>&nbsp;: 239 personnes, d&rsquo;une seule ville am\u00e9ricaine, en 1918. \u00c0 une \u00e9poque o\u00f9 il y avait largement moins de surpoids qu&rsquo;aujourd&rsquo;hui, o\u00f9 les taux hormonaux et la composition corporelle moyenne n&rsquo;avaient rien \u00e0 voir avec les n\u00f4tres.<\/li>\n    <li><strong>L&rsquo;instrument de mesure \u00e9tait impr\u00e9cis<\/strong>&nbsp;: la calorim\u00e9trie indirecte de l&rsquo;\u00e9poque avait une marge d&rsquo;erreur \u00e9norme. Des \u00e9tudes plus modernes ont montr\u00e9 que Harris-Benedict surestime syst\u00e9matiquement le m\u00e9tabolisme de base.<\/li>\n    <li><strong>Le d\u00e9faut conceptuel<\/strong>&nbsp;: la formule ne prend en compte que le poids. Pas le bodyfat. Pas la masse maigre.<\/li>\n  <\/ol>\n  <p>Or, depuis les ann\u00e9es 1980, on sait que <strong>la masse grasse d\u00e9pense tr\u00e8s peu d&rsquo;\u00e9nergie<\/strong> compar\u00e9e au reste du corps. Le foie, le cerveau, le c\u0153ur, les reins, et surtout les muscles sont les vrais postes de d\u00e9pense. La masse grasse est inerte. Une personne avec 30&nbsp;% de bodyfat ne br\u00fble pas du tout autant qu&rsquo;une personne avec 10&nbsp;% de bodyfat, m\u00eame \u00e0 poids \u00e9gal.<\/p>\n\n  <p>500&nbsp;kcal, ce n&rsquo;est pas rien. Si MFP vous dit \u00ab&nbsp;votre BMR est de 2&nbsp;500&nbsp;\u00bb et qu&rsquo;en r\u00e9alit\u00e9 il est de 2&nbsp;000, tout ce qui suit est faux.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Bodyfat r\u00e9el<strong>Photo, 5 secondes<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">d&rsquo;\u00e9cart entre deux hommes de 80&nbsp;kg, l&rsquo;un \u00e0 10&nbsp;% de bodyfat (BMR 1&nbsp;900), l&rsquo;autre \u00e0 30&nbsp;% (BMR 1&nbsp;500). MFP leur donne le m\u00eame chiffre.<\/div>\n  <\/div>\n\n  <p>Conclusion partielle&nbsp;: si une app calcule votre BMR uniquement \u00e0 partir de votre poids, de votre taille, de votre \u00e2ge et de votre sexe, fuyez. C&rsquo;est math\u00e9matiquement impossible d&rsquo;avoir un r\u00e9sultat fiable.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Probl\u00e8me 2<\/span><\/div>\n  <h2 id=\"p2\">Le coefficient d&rsquo;activit\u00e9 \u00ab&nbsp;quasiment al\u00e9atoire&nbsp;\u00bb<\/h2>\n  <p>C&rsquo;est ici que \u00e7a devient grave. Et c&rsquo;est probablement le point que personne ne vous a expliqu\u00e9.<\/p>\n  <p>Une fois que MFP a calcul\u00e9 votre BMR (faussement), il doit estimer votre TDEE totale. La <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">TDEE, c&rsquo;est le BMR + tout le reste<\/a>&nbsp;: la d\u00e9pense li\u00e9e aux pas, aux activit\u00e9s quotidiennes, au sport, et \u00e0 la digestion. Tout ce qui n&rsquo;est pas du m\u00e9tabolisme de base.<\/p>\n  <p>Comment MyFitnessPal fait \u00e7a&nbsp;? Il vous demande de cocher une case&nbsp;:<\/p>\n  <ul><li>S\u00e9dentaire<\/li><li>Peu actif<\/li><li>Actif<\/li><li>Tr\u00e8s actif<\/li><\/ul>\n  <p>Et selon votre choix, il multiplie votre BMR par un coefficient (typiquement 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). C&rsquo;est tout. C&rsquo;est tout ce qu&rsquo;il y a derri\u00e8re votre objectif calorique journalier. Une case que VOUS avez coch\u00e9e une seule fois au moment de l&rsquo;inscription. Souvent il y a six mois. Sans bouger depuis.<\/p>\n  <p>Et l\u00e0, c&rsquo;est le scandale silencieux&nbsp;: cette approximation est <strong>hyper imparfaite<\/strong>. La diff\u00e9rence entre un jour o\u00f9 vous \u00eates scotch\u00e9 au canap\u00e9 devant Netflix et un jour o\u00f9 vous allez \u00e0 Disneyland avec vos enfants et marchez 15&nbsp;km, <strong>c&rsquo;est plus de 1&nbsp;000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 2 &middot; 7 jours r\u00e9els<\/span><span class=\"r\">kcal\/jour<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon MyFitnessPal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>D\u00e9pense r\u00e9elle<\/strong> mesur\u00e9e sur 7&nbsp;jours pour un utilisateur Lean. La ligne grise est ce que MFP affichait (2&nbsp;400&nbsp;kcal fixe). Les annotations roses montrent pourquoi chaque jour bouge.<\/p>\n  <\/div>\n\n  <p>Vous ne pouvez pas r\u00e9duire votre niveau d&rsquo;activit\u00e9 \u00e0 une case statique. Vous \u00eates peut-\u00eatre actif les semaines o\u00f9 vous t\u00e9l\u00e9travaillez peu, et s\u00e9dentaire celles o\u00f9 vous ne sortez pas du bureau. Vous \u00eates peut-\u00eatre actif en \u00e9t\u00e9 et s\u00e9dentaire en hiver. Vous \u00eates peut-\u00eatre actif du mardi au vendredi et s\u00e9dentaire le week-end.<\/p>\n  <p>Quelle case allez-vous cocher cette semaine&nbsp;? La v\u00e9rit\u00e9, c&rsquo;est qu&rsquo;aucune des 4 ne sera correcte. Et donc MFP va vous donner une TDEE qui sera syst\u00e9matiquement d\u00e9corr\u00e9l\u00e9e de la r\u00e9alit\u00e9.<\/p>\n  <p>C&rsquo;est quasiment al\u00e9atoire. C&rsquo;est m\u00eame un peu mieux qu&rsquo;un tirage au sort, mais pas beaucoup.<\/p>\n  <p>Le point cl\u00e9 de cet article&nbsp;: m\u00eame si MyFitnessPal avait une formule BMR parfaite (ce qui n&rsquo;est pas le cas), le coefficient d&rsquo;activit\u00e9 suffirait \u00e0 tout casser. Vous ne pouvez pas estimer une <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT<\/a>, une EAT et une <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF<\/a> avec un multiplicateur unique appliqu\u00e9 au BMR. C&rsquo;est conceptuellement absurde.<\/p>\n  <p>Vous l&rsquo;aurez compris&nbsp;: <strong>une formule BMR compl\u00e8tement fauss\u00e9e, plus une approximation des autres postes de d\u00e9pense, \u00e7a donne aucune chance d&rsquo;atteindre vos objectifs.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Voir votre TDEE r\u00e9elle, d\u00e9compos\u00e9e en BMR + NEAT + EAT + TEF. T\u00e9l\u00e9chargement gratuit.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Probl\u00e8me 3<\/span><\/div>\n  <h2 id=\"p3\">L&rsquo;adaptation m\u00e9tabolique ignor\u00e9e<\/h2>\n  <p>C&rsquo;est le boss final. La notion la plus fine. Et probablement la plus importante.<\/p>\n  <p>Quand vous \u00eates en d\u00e9ficit calorique, votre corps comprend qu&rsquo;il re\u00e7oit moins d&rsquo;\u00e9nergie qu&rsquo;avant. Pour se prot\u00e9ger, il bascule en mode \u00e9conomie. Exactement comme le mode \u00e9conomie d&rsquo;\u00e9nergie de votre iPhone&nbsp;: tout continue de fonctionner, mais en utilisant moins d&rsquo;\u00e9nergie. Votre BMR baisse. Votre NEAT baisse. Votre EAT baisse.<\/p>\n  <p>C&rsquo;est ce qu&rsquo;on appelle l&rsquo;adaptation m\u00e9tabolique. Voici les chiffres&nbsp;:<\/p>\n  <ul>\n    <li>D\u00e9ficit de &minus;250&nbsp;kcal par jour, sur 2 \u00e0 8 semaines&nbsp;: adaptation m\u00e9tabolique de <strong>5 \u00e0 10&nbsp;%<\/strong><\/li>\n    <li>D\u00e9ficit de &minus;500&nbsp;kcal par jour&nbsp;: <strong>10 \u00e0 15&nbsp;%<\/strong><\/li>\n    <li>D\u00e9ficit de &minus;750&nbsp;kcal par jour&nbsp;: <strong>15 \u00e0 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>Et comme la NEAT, l&rsquo;EAT et la TEF d\u00e9pendent toutes du BMR, c&rsquo;est quasiment toute votre TDEE qui est impact\u00e9e.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 3 &middot; 8 semaines en d\u00e9ficit<\/span><span class=\"r\">kcal\/jour<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon MFP\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>TDEE r\u00e9elle<\/strong> sur 8 semaines de d\u00e9ficit \u00e0 &minus;500&nbsp;kcal\/jour. La courbe rose descend. La ligne grise MFP reste plate. \u00c0 semaine 6, vous \u00eates d\u00e9j\u00e0 \u00e0 la maintenance. Sans rien avoir chang\u00e9.<\/p>\n  <\/div>\n\n  <p>Concr\u00e8tement&nbsp;: si vous aviez pr\u00e9vu un d\u00e9ficit de 10&nbsp;% sur une TDEE de 2&nbsp;500 (soit manger 2&nbsp;250 par jour), et que votre corps s&rsquo;adapte de 10&nbsp;%, votre TDEE r\u00e9elle est pass\u00e9e \u00e0 2&nbsp;250. Vous \u00eates \u00e0 la maintenance. Vous ne perdez plus.<\/p>\n  <p>Le pi\u00e8ge, c&rsquo;est que c&rsquo;est insidieux. Au d\u00e9but, vous perdez. Vous \u00eates content. Vous continuez. Mais semaine apr\u00e8s semaine, l&rsquo;adaptation se cumule. Et \u00e0 un moment, sans rien avoir chang\u00e9 \u00e0 votre tracking, <strong>vous arr\u00eatez de perdre<\/strong>.<\/p>\n  <p>95&nbsp;% des gens passent par l\u00e0 sans le comprendre. Ils accusent leur volont\u00e9. Ils bl\u00e2ment leur \u00ab&nbsp;m\u00e9tabolisme cass\u00e9&nbsp;\u00bb. Ils repartent dans des di\u00e8tes plus dures, ce qui aggrave l&rsquo;adaptation. Spirale.<\/p>\n  <p>MyFitnessPal ne calcule jamais l&rsquo;adaptation m\u00e9tabolique. Il vous donne un objectif fixe et statique. Quand vous stagnez apr\u00e8s 6 semaines, l&rsquo;app n&rsquo;a aucune id\u00e9e du pourquoi.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Solution Lean<\/span><\/div>\n  <h2 id=\"solution\">Comment Lean r\u00e9sout chacun des 3 probl\u00e8mes<\/h2>\n  <p>Lean n&rsquo;a pas \u00e9t\u00e9 construit comme un clone am\u00e9lior\u00e9 de MyFitnessPal. Lean a \u00e9t\u00e9 construit comme l&rsquo;app qu&rsquo;on aurait voulu pour suivre s\u00e9rieusement la th\u00e9orie de la TDEE compl\u00e8te. Concr\u00e8tement, voici comment Lean traite chaque composant.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Etapa 1<strong>BodyScan IA<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Etapa 2<strong>BMR recalcul\u00e9<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; Le BMR sur bodyfat r\u00e9el<\/div>\n      <h3>Mod\u00e8le propri\u00e9taire brevet\u00e9, bas\u00e9 sur la masse maigre<\/h3>\n      <p>Lean utilise un <strong>mod\u00e8le propri\u00e9taire brevet\u00e9<\/strong> qui d\u00e9pend directement de la masse maigre, pas du poids brut. Pour \u00e7a, l&rsquo;app a besoin de votre bodyfat. Et l\u00e0, on attaque le truc le plus chiant historiquement&nbsp;: comment mesurer son bodyfat sans aller payer 100&nbsp;\u20ac par semaine pour un DEXA scan&nbsp;?<\/p>\n      <p>R\u00e9ponse Lean&nbsp;: le <strong>BodyScan IA<\/strong>. Vous prenez une photo, l&rsquo;app la passe \u00e0 un mod\u00e8le entra\u00een\u00e9 sur une banque massive de scans DEXA, et vous obtenez votre bodyfat estim\u00e9 en quelques secondes. Vous pouvez le refaire chaque semaine. Le BMR se recalcule automatiquement.<\/p>\n      <p>Adieu la pince \u00e0 pli cutan\u00e9 (impr\u00e9cise), adieu la balance \u00e0 imp\u00e9dancem\u00e9trie (le scam du si\u00e8cle), adieu le DEXA scan (parfait mais inaccessible). Une photo, 5 secondes.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.02 &middot; Pas de coefficient d&rsquo;activit\u00e9<\/div>\n      <h3>NEAT, EAT, TEF calculados separadamente<\/h3>\n      <p><strong>NEAT.<\/strong> Lean r\u00e9cup\u00e8re votre nombre de pas r\u00e9els via HealthKit (iOS) ou Google Fit (Android). Pas de d\u00e9claration. Pas de \u00ab&nbsp;moi je marche assez je pense&nbsp;\u00bb. Vos pas, mesur\u00e9s par les acc\u00e9l\u00e9rom\u00e8tres tr\u00e8s pr\u00e9cis de votre smartphone. La <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT est calcul\u00e9e en croisant ces pas avec votre BMR<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> Pour chaque s\u00e9ance de sport, vous s\u00e9lectionnez le sport dans une liste (musculation, course, tennis, natation, etc.), et Lean utilise le MET (Metabolic Equivalent Task) de ce sport pour calculer la d\u00e9pense r\u00e9elle. Vous renseignez le temps <strong>effectif<\/strong> de sport (pas le temps total avec les pauses&nbsp;: l&rsquo;erreur que font 100&nbsp;% des montres connect\u00e9es). Une s\u00e9ance de musculation \u00e0 1&nbsp;050&nbsp;kcal selon votre Apple Watch&nbsp;? La r\u00e9alit\u00e9 est plut\u00f4t 200&nbsp;kcal. Lean refuse cette d\u00e9rive.<\/p>\n      <p><strong>TEF.<\/strong> La digestion br\u00fble de l&rsquo;\u00e9nergie, et ce n&rsquo;est pas un forfait fixe de 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">Les prot\u00e9ines co\u00fbtent 20 \u00e0 30&nbsp;%<\/a> de leurs calories en digestion. Les glucides 5 \u00e0 10&nbsp;%. Les lipides 1 \u00e0 3&nbsp;%. Lean calcule votre TEF r\u00e9elle \u00e0 partir de vos macros. Sur 3&nbsp;000&nbsp;kcal\/jour, \u00e7a peut repr\u00e9senter 100&nbsp;kcal d&rsquo;\u00e9cart selon la composition de votre r\u00e9gime.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.03 &middot; Adaptation m\u00e9tabolique automatique<\/div>\n      <h3>Une premi\u00e8re mondiale sur app grand public<\/h3>\n      <p>Lean est, \u00e0 notre connaissance, la premi\u00e8re app \u00e0 calculer automatiquement l&rsquo;adaptation m\u00e9tabolique. Au fur et \u00e0 mesure de vos semaines en d\u00e9ficit, l&rsquo;app ajuste votre TDEE \u00e0 la baisse selon les chiffres scientifiquement \u00e9tablis. Vous n&rsquo;avez rien \u00e0 faire. Vous voyez juste votre objectif calorique se r\u00e9ajuster doucement, sans surprise.<\/p>\n      <p>Quand vous atteignez 10 \u00e0 15&nbsp;% d&rsquo;adaptation, l&rsquo;app peut vous conseiller un retour \u00e0 la maintenance pour r\u00e9initialiser votre BMR avant de repartir en d\u00e9ficit. Cycle, plateau, cycle. Comme dans les vrais protocoles.<\/p>\n      <p>Aucun coefficient d&rsquo;activit\u00e9 \u00e0 choisir. Aucune case statique. Juste chaque composant calcul\u00e9 pr\u00e9cis\u00e9ment, semaine apr\u00e8s semaine.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9thode<strong>Adapta\u00e7\u00e3o metab\u00f3lica<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Tableau comparatif<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, crit\u00e8re par crit\u00e8re<\/h2>\n  <p>Lecture honn\u00eate des forces et faiblesses de chaque app. Aucun crit\u00e8re ne porte sur le prix.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#F5F5F7;border:1.5px solid #D1D1D6;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#0E0E10;letter-spacing:-0.2px\">MyFitnessPal<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Comparatif Lean vs MyFitnessPal\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Crit\u00e9rio<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>MyFitnessPal<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Formule BMR<\/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> Mod\u00e8le propri\u00e9taire brevet\u00e9 (masse maigre)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor (poids seul)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Prend en compte le bodyfat<\/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> Oui<\/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> Non<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Mesure du bodyfat dans l&rsquo;app<\/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> BodyScan IA via photo<\/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> Non<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (pas, activit\u00e9 hors sport)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calcul\u00e9e sur les pas r\u00e9els<\/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> Agr\u00e9g\u00e9e dans le coefficient<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (d\u00e9pense exercice)<\/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> Par sport via MET, temps effectif<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Estimations forfaitaires peu fiables<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (digestion)<\/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> Calcul\u00e9e selon macros<\/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> Non calcul\u00e9e<\/div>\n    <\/div>\n    <div class=\"table-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> Automatique, semaine par semaine<\/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> Non<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Coefficient d&rsquo;activit\u00e9 \u00e0 choisir<\/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> Non, calcul\u00e9 sur donn\u00e9es r\u00e9elles<\/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> Oui, 4 cases statiques<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan photo IA d&rsquo;un plat<\/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> Oui, illimit\u00e9<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Limit\u00e9<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan code-barres<\/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> Oui<\/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> Oui<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Base de donn\u00e9es alimentaire<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, cur\u00e9e<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Communautaire, jusqu&rsquo;\u00e0 10&nbsp;000 variantes du m\u00eame aliment<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Recommandation d\u00e9ficit calorique<\/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> Adapt\u00e9e \u00e0 la TDEE r\u00e9elle<\/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> Estimation fixe<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 m\u00e9thodes pour tracker un repas<\/h2>\n  <p>Tracker ses calories, c&rsquo;est bien. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">Le faire sur 12 mois, c&rsquo;est autre chose<\/a>. Le principe n\u00b01, <strong>avant la science, avant les macros, avant tout<\/strong>, c&rsquo;est l&rsquo;adh\u00e9rence. Si la m\u00e9thode de tracking vous saoule, vous arr\u00eatez au bout de 3 semaines. Lean propose 3 m\u00e9thodes pour tracker un repas&nbsp;:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9thode 1<strong>Base de donn\u00e9es<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9thode 2<strong>Code-barres<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9thode 3<strong>Scan photo IA<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Recherche dans la base de donn\u00e9es.<\/strong> Base cur\u00e9e, USDA + OpenFoodFacts. Pas de bruit communautaire, pas de \u00ab&nbsp;Poulet r\u00f4ti&nbsp;\u00bb rentr\u00e9 47 fois par 47 utilisateurs diff\u00e9rents avec 47 valeurs diff\u00e9rentes.<\/li>\n    <li><strong>Scan de code-barres.<\/strong> Standard. Vous scannez votre paquet de p\u00e2tes, vous obtenez les macros.<\/li>\n    <li><strong>Scan photo IA d&rsquo;un plat.<\/strong> Vous prenez en photo votre assiette, l&rsquo;IA d\u00e9tecte les aliments, vous obtenez les calories et les macros par aliment.<\/li>\n  <\/ol>\n  <p>Le scan photo IA, c&rsquo;est le game changer adh\u00e9rence. Quand vous mangez dehors, au restaurant, chez des amis, c&rsquo;est m\u00e9ga pratique. Une photo, vous fermez l&rsquo;app, vous profitez de votre soir\u00e9e. Oui, c&rsquo;est moins pr\u00e9cis qu&rsquo;une pes\u00e9e au gramme pr\u00e8s avec une balance de cuisine. Mais sur 12 mois, c&rsquo;est ce qui fait la diff\u00e9rence entre tenir et abandonner. Et tenir, c&rsquo;est ce qui compte.<\/p>\n  <p>Au-del\u00e0 du tracking par repas, Lean affiche une <strong>TDEE live qui se met \u00e0 jour pendant la journ\u00e9e<\/strong>. Plus vous marchez, plus votre d\u00e9pense augmente, plus votre objectif calorique pour la journ\u00e9e s&rsquo;ajuste. Vous voyez votre balance calorique en direct. C&rsquo;est plus motivant qu&rsquo;un chiffre fig\u00e9 \u00e0 8h du matin.<\/p>\n  <p>Et au-dessus de tout \u00e7a, il y a la <strong>Pir\u00e2mide de Progress\u00e3o<\/strong>. C&rsquo;est un \u00e9cran de l&rsquo;app qui hi\u00e9rarchise ce qui compte&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Pyramide de Progression Lean\">\n    <div class=\"level l1\"><span>Adh\u00e9rence<\/span><span class=\"k\">Base<\/span><\/div>\n    <div class=\"level l2\"><span>Objectif calorique<\/span><span class=\"k\">\u00c9tage 2<\/span><\/div>\n    <div class=\"level l3\"><span>Pas \/ NEAT<\/span><span class=\"k\">\u00c9tage 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutriments<\/span><span class=\"k\">Sommet<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Ne pas br\u00fbler les \u00e9tapes. Si vous n&rsquo;\u00eates pas r\u00e9gulier dans le tracking, optimiser les macros au pourcent pr\u00e8s ne sert \u00e0 rien.<\/div>\n<\/section>\n\n<section aria-labelledby=\"mfp-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Honn\u00eatet\u00e9<\/span><\/div>\n  <h2 id=\"mfp-better\">Ce que MyFitnessPal fait mieux<\/h2>\n  <p>Lean n&rsquo;est pas parfait, MFP a quelques avantages qu&rsquo;il faut reconna\u00eetre. Lecture honn\u00eate, crit\u00e8re par crit\u00e8re, sur les axes o\u00f9 MFP reste en avance.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard MFP vs Lean sur 4 axes secondaires\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Axe<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> MyFitnessPal<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Notori\u00e9t\u00e9 &amp; tutos en ligne<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Taille de base de donn\u00e9es<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Communaut\u00e9 \/ feed social<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Int\u00e9grations apps tierces<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Lecture honn\u00eate.<\/strong> Sur la notori\u00e9t\u00e9 et le feed social, MFP reste devant. Sur la taille brute de base de donn\u00e9es alimentaire, MFP a plus d&rsquo;entr\u00e9es (mais les 14 millions d&rsquo;entr\u00e9es sont communautaires et bruit\u00e9es, jusqu&rsquo;\u00e0 10&nbsp;000 variantes du m\u00eame aliment). Sur les int\u00e9grations tierces, MFP a un \u00e9cosyst\u00e8me plus large. Lean s&rsquo;int\u00e8gre avec HealthKit et Google Fit, ce qui couvre 95&nbsp;% des cas.<\/p>\n  <p>Bref, si tout ce que vous voulez c&rsquo;est un journal alimentaire grossier sans objectif pr\u00e9cis, MFP suffit largement. Si vous cherchez \u00e0 perdre du gras m\u00e9thodiquement avec une <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">TDEE pr\u00e9cise<\/a>, MFP ne suffit pas, et c&rsquo;est ce qui vient d&rsquo;\u00eatre d\u00e9montr\u00e9 dans les 3 sections pr\u00e9c\u00e9dentes.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Pour qui<\/span><\/div>\n  <h2 id=\"forwho\">Pour qui Lean est-il fait<\/h2>\n  <p>4 profils. Si vous vous reconnaissez dans au moins un, Lean est probablement fait pour vous.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Vous avez essay\u00e9 MFP s\u00e9rieusement et n&rsquo;avez pas perdu<\/h4>\n        <p>Vous avez appliqu\u00e9 un d\u00e9ficit honn\u00eate pendant des semaines, sans r\u00e9sultat. La cause est tr\u00e8s probablement la TDEE fauss\u00e9e. Lean corrige \u00e0 la racine via le BMR sur bodyfat r\u00e9el.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Vous stagnez apr\u00e8s plusieurs semaines de cut<\/h4>\n        <p>Plateau qui s&rsquo;\u00e9ternise apr\u00e8s 4 \u00e0 8 semaines. C&rsquo;est l&rsquo;adaptation m\u00e9tabolique. Lean la calcule automatiquement et r\u00e9ajuste votre objectif chaque semaine.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Vous voulez comprendre votre m\u00e9tabolisme<\/h4>\n        <p>Lean affiche chaque composant (BMR, NEAT, EAT, TEF, adaptation) au lieu de tout cacher derri\u00e8re un chiffre unique. Vous voyez d&rsquo;o\u00f9 vient chaque kcal de d\u00e9pense.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Vous voulez un tracking qui dure 12 mois<\/h4>\n        <p>Scan photo IA + base cur\u00e9e + code-barres couvrent tous les usages, de l&rsquo;aliment brut \u00e0 la pizza au restaurant. C&rsquo;est ce qui fait la diff\u00e9rence entre tenir et l\u00e2cher.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal peut suffire pour<\/strong>&nbsp;: ceux qui veulent juste un journal alimentaire sans pr\u00e9cision particuli\u00e8re, ou ceux qui aiment le c\u00f4t\u00e9 social et communautaire.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migra\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"migrate\">Migrer de MyFitnessPal \u00e0 Lean en 5 minutes<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>T\u00e9l\u00e9chargez Lean<\/h4><p>App Store ou Play Store. Inscription en 30 secondes.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>BodyScan IA<\/h4><p>Une photo, 5 secondes. Vous obtenez votre bodyfat.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Poids &amp; taille<\/h4><p>Renseignez votre poids et votre taille. C&rsquo;est tout.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean calcule<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, adaptation. Automatique.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Trackez un repas<\/h4><p>Photo, code-barres ou base de donn\u00e9es. Comprenez le flow.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Note importante.<\/strong> Lean ne propose pas d&rsquo;import automatique de vos donn\u00e9es MyFitnessPal. C&rsquo;est volontaire. La base MFP est saisie \u00e0 la main par les utilisateurs, donc bruit\u00e9e. On pr\u00e9f\u00e8re repartir propre, avec une base cur\u00e9e USDA + OpenFoodFacts, plut\u00f4t que d&rsquo;h\u00e9riter du bruit.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">T\u00e9l\u00e9charger Lean et commencer le BodyScan IA d\u00e8s maintenant. Inscription gratuite.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Ce que Lean d\u00e9bloque<\/span><\/div>\n  <h2 id=\"deblock-h\">Ce que Lean fait, et que MFP ne fera jamais<\/h2>\n  <p>Six fonctionnalit\u00e9s qui n&rsquo;existent dans aucun autre tracker grand public. Elles d\u00e9coulent toutes du m\u00eame principe&nbsp;: calculer chaque composant du TDEE pr\u00e9cis\u00e9ment, pas l&rsquo;approximer.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">BodyScan IA illimit\u00e9<\/div><p class=\"fd\">Votre bodyfat r\u00e9el, mesur\u00e9 depuis une simple photo, refait chaque semaine. C&rsquo;est la donn\u00e9e qui change tout le calcul du BMR. Aucune autre app grand public ne propose \u00e7a.<\/p><\/div><div class=\"fc\">Bodyfat<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Scan photo IA d&rsquo;un plat illimit\u00e9<\/div><p class=\"fd\">Trackez votre repas au restaurant en 2 secondes. Pas de balance, pas de saisie manuelle. Le game changer adh\u00e9rence sur 12 mois.<\/p><\/div><div class=\"fc\">Adh\u00e9rence<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Adaptation m\u00e9tabolique automatique<\/div><p class=\"fd\">Votre TDEE se r\u00e9ajuste semaine apr\u00e8s semaine selon les chiffres scientifiquement \u00e9tablis. Vous \u00e9vitez les plateaux que personne ne sait expliquer.<\/p><\/div><div class=\"fc\">Adapta\u00e7\u00e3o<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">TDEE d\u00e9compos\u00e9e live<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF affich\u00e9s chacun, mis \u00e0 jour pendant la journ\u00e9e. Plus de chiffre fig\u00e9 \u00e0 8h du matin. Vous voyez votre balance calorique en direct.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Historique complet et tendances<\/div><p class=\"fd\">Suivez vos tendances poids, bodyfat, masse maigre sur des mois. Comprenez vos cycles. Rep\u00e9rez les phases o\u00f9 vous progressez et celles o\u00f9 vous stagnez.<\/p><\/div><div class=\"fc\">Historique<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 m\u00e9thodes de tracking unifi\u00e9es<\/div><p class=\"fd\">Photo, code-barres, base cur\u00e9e. Aucune autre app ne propose les trois avec une telle pr\u00e9cision. Vous choisissez la m\u00e9thode selon le contexte.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Vous installez l&rsquo;app gratuitement, vous testez sans engagement, vous d\u00e9cidez ensuite si l&rsquo;outil colle \u00e0 votre objectif.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Perguntas frequentes<\/h2>\n  <div class=\"faq\">\n    <details><summary>Mifflin-St Jeor c&rsquo;est mieux que Harris-Benedict&nbsp;?<\/summary><div class=\"ans\">Marginalement. Mifflin-St Jeor (1990) est une mise \u00e0 jour d&rsquo;Harris-Benedict avec un \u00e9chantillon l\u00e9g\u00e8rement plus moderne. Mais elle h\u00e9rite du m\u00eame d\u00e9faut conceptuel&nbsp;: pas de bodyfat en entr\u00e9e. C&rsquo;est juste une version repeinte de la m\u00eame erreur. MFP utilise Mifflin-St Jeor depuis quelques ann\u00e9es, ce qui est mieux qu&rsquo;Harris-Benedict, mais ne corrige pas le probl\u00e8me fondamental.<\/div><\/details>\n    <details><summary>Faut-il vraiment conna\u00eetre son bodyfat&nbsp;?<\/summary><div class=\"ans\">Oui. Sans bodyfat, votre BMR peut \u00eatre faux de 400&nbsp;kcal (cf l&rsquo;exemple des deux hommes de 80&nbsp;kg, l&rsquo;un \u00e0 10&nbsp;%, l&rsquo;autre \u00e0 30&nbsp;%). Vous ne perdrez jamais de poids s\u00e9rieusement sans cette donn\u00e9e. La mesurer chaque semaine avec le BodyScan IA prend 5 secondes.<\/div><\/details>\n    <details><summary>Le coefficient d&rsquo;activit\u00e9 \u00e7a ne marche pas du tout&nbsp;?<\/summary><div class=\"ans\">Pour une estimation ultra grossi\u00e8re sur 6 mois, \u00e7a peut donner une vague tendance. Pour atteindre un objectif pr\u00e9cis (perte de gras, prise de masse s\u00e8che), c&rsquo;est insuffisant. La variabilit\u00e9 quotidienne de la d\u00e9pense est trop grande pour \u00eatre capt\u00e9e par une case statique.<\/div><\/details>\n    <details><summary>C&rsquo;est quoi exactement l&rsquo;adaptation m\u00e9tabolique&nbsp;?<\/summary><div class=\"ans\">C&rsquo;est la baisse spontan\u00e9e de votre d\u00e9pense calorique quand vous \u00eates en d\u00e9ficit prolong\u00e9. Mode \u00e9conomie d&rsquo;\u00e9nergie. Pour un d\u00e9ficit de &minus;500&nbsp;kcal\/jour, votre TDEE peut baisser de 10 \u00e0 15&nbsp;% en 4 \u00e0 6 semaines. Si une app ne le sait pas, vous stagnez sans comprendre pourquoi.<\/div><\/details>\n    <details><summary>Combien de temps pour voir un r\u00e9sultat avec Lean&nbsp;?<\/summary><div class=\"ans\">Tout d\u00e9pend du d\u00e9ficit appliqu\u00e9. Pour un d\u00e9ficit raisonnable de &minus;250 \u00e0 &minus;500&nbsp;kcal\/jour, vous devriez voir une perte de 0,3 \u00e0 0,6&nbsp;kg par semaine. La grosse diff\u00e9rence avec MFP&nbsp;: avec Lean votre TDEE est connue pr\u00e9cis\u00e9ment, donc votre d\u00e9ficit est r\u00e9ellement appliqu\u00e9, sans surprise statistique.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Conclusion<\/span><\/div>\n  <h2 id=\"conclu\">1919 face \u00e0 2025<\/h2>\n  <p>Ce n&rsquo;est pas MyFitnessPal contre Lean en marketing. C&rsquo;est 1919 face \u00e0 2025 en science.<\/p>\n  <p>MFP utilise une formule de la sortie de la Premi\u00e8re Guerre mondiale, plus un coefficient d&rsquo;activit\u00e9 quasiment al\u00e9atoire, et ignore l&rsquo;adaptation m\u00e9tabolique. Le combo des trois rend toute estimation pr\u00e9cise impossible. C&rsquo;est math\u00e9matique.<\/p>\n  <p>Lean a \u00e9t\u00e9 construit pour faire exactement l&rsquo;inverse&nbsp;: BMR bas\u00e9 sur le <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">gordura corporal real<\/a> (mesur\u00e9 par BodyScan IA) via un mod\u00e8le propri\u00e9taire brevet\u00e9, <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT par pas r\u00e9els<\/a>, EAT par sport et MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF par macros<\/a>, adaptation m\u00e9tabolique automatique. Chaque composant calcul\u00e9 pr\u00e9cis\u00e9ment, sans coefficient magique.<\/p>\n  <p>Si vous avez essay\u00e9 MFP s\u00e9rieusement et que vous n&rsquo;avez pas eu les r\u00e9sultats que vous esp\u00e9riez, le probl\u00e8me n&rsquo;est pas vous. Le probl\u00e8me est sous le capot. Changez d&rsquo;app.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>A Lean pode ser baixada gratuitamente<\/h3>\n  <p>iOS et Android. Le BodyScan IA fonctionne avec une simple photo. Pas de pince \u00e0 pli cutan\u00e9, pas de balance imp\u00e9dance, pas de DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Para ir al\u00e9m<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Maillage interne<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">Calculadora TDEE gratuita online<\/a> &middot; version web, sans inscription, m\u00eame logique que l&rsquo;app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Comprendre la TDEE en d\u00e9tail (BMR, NEAT, EAT, TEF, adaptation)<\/a> &middot; article scientifique de fond.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">Como contar suas calorias corretamente<\/a> &middot; guide pratique pour d\u00e9butants.<\/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  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Fontes<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliographie<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Article publi\u00e9 le 21 mai 2026. Mis \u00e0 jour r\u00e9guli\u00e8rement avec les retours d&rsquo;utilisateurs et les nouvelles \u00e9tudes pertinentes. 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Lean fait tout ce que MFP ne sait pas faire. Comparatif honn\u00eate.<\/p>","protected":false},"author":1,"featured_media":1242,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1241","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>Lean vs MyFitnessPal : pourquoi MFP calcule mal ta d\u00e9pense<\/title>\n<meta name=\"description\" content=\"Pourquoi MyFitnessPal calcule mal ta d\u00e9pense calorique : BMR sur formule de 1919, pas d&#039;adaptation m\u00e9tabolique, NEAT\/EAT fixes. 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