{"id":1379,"date":"2026-05-23T16:30:45","date_gmt":"2026-05-23T16:30:45","guid":{"rendered":"https:\/\/lean-app.com\/?p=1379"},"modified":"2026-08-22T18:01:51","modified_gmt":"2026-08-22T18:01:51","slug":"lean-vs-cronometer","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/lean-vs-cronometer\/","title":{"rendered":"Lean vs Cronometer : la pr\u00e9cision micronutrition contre le TDEE complet"},"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-1379 #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-1379 #lvm-shell .wrap,\nbody.postid-1379 #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-1379 #lvm-shell .wrap,\n  body.postid-1379 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1379 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1379 #lvm-shell *{max-width:100%}\nbody.postid-1379 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1379 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1379 #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-1379 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1379 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1379 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1379 #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-1379 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1379 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1379 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1379 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1379 #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-1379 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1379 #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-1379 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1379 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1379 #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-1379 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1379 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1379 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1379 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1379 #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-1379 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1379 #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-1379 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1379 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1379 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1379 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1379 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1379 #lvm-shell .fig-cap{padding:0 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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-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!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:#E15822!important;\n  }\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1379 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1379 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1379 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1379 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1379 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1379 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1379 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1379 #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-cronometer\" 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-cronometer\" 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 Cronometer<\/div>\n  <div class=\"eyebrow\">Comparatif &middot; Nutrition &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean face \u00e0 Cronometer.\n    <span class=\"alt\">La r\u00e9f\u00e9rence micronutriments face au seul qui recompose ton TDEE en continu.<\/span>\n  <\/h1>\n  <p class=\"dek\">Cronometer voit tes vitamines. Lean voit ta d\u00e9pense r\u00e9elle. Deux profondeurs, deux promesses.<\/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-cronometer\" 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-cronometer\" 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      Cronometer est la r\u00e9f\u00e9rence du march\u00e9 sur les 80+ micronutriments gr\u00e2ce \u00e0 la base NCCDB. Aucune autre app grand public ne va aussi loin sur les vitamines, min\u00e9raux, om\u00e9ga et acides amin\u00e9s. Mais sa formule TDEE reste Mifflin-St Jeor 1990, plus un facteur d&rsquo;activit\u00e9 statique que tu coches une seule fois \u00e0 l&rsquo;inscription (sedentary, light, moderate, heavy, extreme). Sans bodyfat r\u00e9el mesur\u00e9 dans l&rsquo;app, sans adaptation m\u00e9tabolique. Sur 3 mois de cut s\u00e9rieux, l&rsquo;\u00e9cart se creuse.\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>Cronometer calcule ton TDEE avec Mifflin-St Jeor 1990 (sans bodyfat mesur\u00e9 dans l&rsquo;app) et un facteur d&rsquo;activit\u00e9 statique choisi \u00e0 l&rsquo;inscription parmi 5 cases (sedentary, light, moderate, heavy, extreme). La force r\u00e9elle de Cronometer est ailleurs : la base NCCDB et 80+ micronutriments track\u00e9s avec une rigueur que personne d&rsquo;autre n&rsquo;offre dans le grand public. Lean prend un parti diff\u00e9rent : recalculer chaque composant du TDEE (<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 via un mod\u00e8le propri\u00e9taire brevet\u00e9, <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) et moduler le BMR par l&rsquo;adaptation m\u00e9tabolique en continu, sans coefficient \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\">Cronometer voit tes vitamines, pas ton adaptation m\u00e9tabolique<\/h2>\n  <p>Tu utilises probablement d\u00e9j\u00e0 Cronometer, et pour la meilleure des raisons&nbsp;: c&rsquo;est l&rsquo;outil le plus rigoureux du march\u00e9 sur la qualit\u00e9 nutritionnelle.<\/p>\n  <p>Tu suis tes vitamines, tes min\u00e9raux, tes acides amin\u00e9s, avec une base USDA propre plut\u00f4t qu&rsquo;un catalogue aliment\u00e9 par les utilisateurs. Sur les apports, la pr\u00e9cision est r\u00e9elle.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 \u00e0 &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">de baisse mesur\u00e9e du TDEE apr\u00e8s 4 \u00e0 6 semaines de d\u00e9ficit \u00e0 &minus;500&nbsp;kcal\/jour. Cronometer ne le d\u00e9tecte pas. Ton objectif calorique reste fig\u00e9 sur ton facteur d&rsquo;activit\u00e9 d&rsquo;il y a 100&nbsp;jours.<\/div>\n  <\/div>\n\n  <p>Prenons un cas concret. Cronometer annonce un TDEE de 2&nbsp;500&nbsp;kcal, tu manges 2&nbsp;250, tu penses \u00eatre \u00e0 250&nbsp;kcal de d\u00e9ficit. Si ta d\u00e9pense r\u00e9elle est de 2&nbsp;280, il ne reste que 30&nbsp;kcal d&rsquo;\u00e9cart&nbsp;: la stagnation est math\u00e9matique, malgr\u00e9 un journal irr\u00e9prochable.<\/p>\n  <p>La promesse de Cronometer est tenue&nbsp;: une donn\u00e9e nutritionnelle de qualit\u00e9 laboratoire. Elle porte sur ce que tu ing\u00e8res, pas sur ce que tu d\u00e9penses.<\/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 1990, sans bodyfat mesur\u00e9 dans l&rsquo;app<\/h2>\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 Mifflin-St Jeor 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. Mifflin-St Jeor (Cronometer par d\u00e9faut), non. \u00c9cart de 500&nbsp;kcal, l&rsquo;\u00e9quivalent d&rsquo;un d\u00e9jeuner entier.<\/p>\n  <\/div>\n\n  <p>Cronometer, malgr\u00e9 son exigence sur les micronutriments, s&rsquo;appuie par d\u00e9faut sur Mifflin-St Jeor pour estimer ton m\u00e9tabolisme de base.<\/p>\n  <p>Cette \u00e9quation de 1990 repose sur 498 sujets et une calorim\u00e9trie indirecte rigoureuse. Elle constitue le meilleur compromis disponible&#8230; quand on ne dispose que du poids, de la taille, de l&rsquo;\u00e2ge et du sexe.<\/p>\n  <p>\u00c0 son cr\u00e9dit, Cronometer propose l&rsquo;\u00e9quation Katch-McArdle, qui travaille sur la masse maigre, si tu renseignes ton taux de masse grasse. C&rsquo;est plus que la concurrence. Le probl\u00e8me est pratique&nbsp;: cette valeur, il faut l&rsquo;obtenir et la tenir \u00e0 jour, sans quoi l&rsquo;option reste inutilis\u00e9e.<\/p>\n  <p>Sans cette donn\u00e9e, on retombe sur la limite de fond&nbsp;: l&rsquo;\u00e9quation ne voit que ton poids, jamais ta composition corporelle.<\/p>\n  <p>Pourtant la masse grasse d\u00e9pense tr\u00e8s peu au repos. L&rsquo;essentiel vient des organes et des muscles&nbsp;: foie, cerveau, c\u0153ur, reins. Une base alimentaire irr\u00e9prochable ne compense pas un m\u00e9tabolisme mal estim\u00e9.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) a compar\u00e9 Mifflin-St Jeor \u00e0 la calorim\u00e9trie indirecte&nbsp;: 87&nbsp;% de pr\u00e9cision chez les non-ob\u00e8ses, 68&nbsp;% chez les ob\u00e8ses, avec des \u00e9carts allant jusqu&rsquo;\u00e0 330&nbsp;kcal par jour.<\/p>\n\n  <p>Suivre 80 micronutriments au milligramme pr\u00e8s pendant que la d\u00e9pense est fausse de 330&nbsp;kcal, c&rsquo;est optimiser la d\u00e9cimale en se trompant sur l&rsquo;unit\u00e9.<\/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). Cronometer par d\u00e9faut leur donne le m\u00eame chiffre.<\/div>\n  <\/div>\n\n  <p>La conclusion est la m\u00eame pour toutes&nbsp;: sans mesure de la composition corporelle, aucune \u00e9quation ne peut individualiser un m\u00e9tabolisme.<\/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 facteur d&rsquo;activit\u00e9, choisi une fois pour toute<\/h2>\n  <p>C&rsquo;est le contraste le plus frappant chez Cronometer&nbsp;: une rigueur extr\u00eame sur l&rsquo;entr\u00e9e, une approximation sur la sortie.<\/p>\n  <p>Une fois le m\u00e9tabolisme de base pos\u00e9, il faut estimer la d\u00e9pense totale&nbsp;: le BMR plus les pas, l&rsquo;activit\u00e9 quotidienne, les s\u00e9ances et la digestion.<\/p>\n  <p>Cronometer proc\u00e8de comme le reste du march\u00e9&nbsp;: un niveau d&rsquo;activit\u00e9 s\u00e9lectionn\u00e9 dans une liste, appliqu\u00e9 comme coefficient PAL.<\/p>\n  <ul>\n    <li>Sedentary (PAL 1,2) : bureau, peu de marche<\/li>\n    <li>Light Activity (PAL 1,375) : marche occasionnelle<\/li>\n    <li>Moderate Activity (PAL 1,55) : sport 3 \u00e0 5 fois par semaine<\/li>\n    <li>Heavy (PAL 1,725) : sport intense quasi quotidien<\/li>\n    <li>Extreme (PAL 1,9) : sport tr\u00e8s intense ou travail physique<\/li>\n  <\/ul>\n  <p>Ce coefficient multiplie le m\u00e9tabolisme de base, et le produit devient ton objectif calorique.<\/p>\n  <p>L&rsquo;approximation d\u00e9tonne dans une app qui te fait saisir les micronutriments au milligramme. Une journ\u00e9e s\u00e9dentaire et une journ\u00e9e tr\u00e8s active re\u00e7oivent exactement le m\u00eame traitement.<\/p>\n  <p>Cronometer importe pourtant des donn\u00e9es pr\u00e9cises depuis Garmin, Fitbit ou Apple Health. Ces signaux existent, mais le TDEE reste fond\u00e9 sur le coefficient d\u00e9clar\u00e9.<\/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 Cronometer\"><\/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 Cronometer affichait (2&nbsp;400&nbsp;kcal fixe, PAL Moderate \u00d7 BMR). Les annotations roses montrent pourquoi chaque jour bouge.<\/p>\n  <\/div>\n\n  <p>Or l&rsquo;activit\u00e9 varie fortement d&rsquo;une semaine sur l&rsquo;autre. Aucune case ne reste vraie longtemps.<\/p>\n  <p>Le r\u00e9sultat est un TDEE durablement d\u00e9cal\u00e9, alors m\u00eame que le journal alimentaire, lui, est exact.<\/p>\n  <p>C&rsquo;est le point d\u00e9cisif&nbsp;: la qualit\u00e9 de la base alimentaire ne compense pas un PAL statique. Le NEAT, l&rsquo;EAT et le TEF exigent d&rsquo;\u00eatre calcul\u00e9s s\u00e9par\u00e9ment.<\/p>\n  <p>Un m\u00e9tabolisme sans composition corporelle \u00e0 jour, plus une d\u00e9pense d&rsquo;activit\u00e9 estim\u00e9e par coefficient&nbsp;: la pr\u00e9cision du journal ne suffit pas \u00e0 sauver l&rsquo;objectif final.<\/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-cronometer\" 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-cronometer\" 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, jamais mod\u00e9lis\u00e9e<\/h2>\n  <p>C&rsquo;est la donn\u00e9e qu&rsquo;aucune base nutritionnelle, aussi compl\u00e8te soit-elle, ne peut fournir.<\/p>\n  <p>En d\u00e9ficit prolong\u00e9, ton corps r\u00e9duit sa d\u00e9pense pour compenser le manque d&rsquo;apport. Comparable au mode \u00e9conomie d&rsquo;un t\u00e9l\u00e9phone&nbsp;: tout fonctionne encore, mais \u00e0 r\u00e9gime r\u00e9duit.<\/p>\n  <p>Cette adaptation m\u00e9tabolique est solidement document\u00e9e&nbsp;: M\u00fcller 2015 (PubMed 26399868, r\u00e9analyse du Minnesota), Doucet 2001 sur le d\u00e9ficit prolong\u00e9, Nunes 2020 (PMC7484122). Les \u00e9tudes situent l&rsquo;effet entre 5 et 25&nbsp;% du m\u00e9tabolisme de base.<\/p>\n  <ul>\n    <li>D\u00e9ficit de &minus;250&nbsp;kcal par jour, sur 2 \u00e0 8 semaines : adaptation de <strong>5 \u00e0 10&nbsp;%<\/strong> (TDEE descend \u00e0 90-95&nbsp;% du niveau initial)<\/li>\n    <li>D\u00e9ficit de &minus;500&nbsp;kcal par jour : <strong>10 \u00e0 15&nbsp;%<\/strong> d&rsquo;adaptation (TDEE descend \u00e0 85-90&nbsp;%)<\/li>\n    <li>D\u00e9ficit de &minus;750&nbsp;kcal par jour : <strong>15 \u00e0 25&nbsp;%<\/strong> d&rsquo;adaptation (TDEE descend \u00e0 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Convention Lean&nbsp;: 100&nbsp;% pour un m\u00e9tabolisme optimal, 90&nbsp;% pour une adaptation de 10&nbsp;%. Le NEAT, l&rsquo;EAT et le TEF \u00e9tant tous d\u00e9riv\u00e9s du BMR, c&rsquo;est tout le TDEE qui glisse.<\/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 Cronometer\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>TDEE r\u00e9el<\/strong> sur 8 semaines de d\u00e9ficit \u00e0 &minus;500&nbsp;kcal\/jour. La courbe rose descend. La ligne Cronometer reste plate. \u00c0 semaine 6, tu es d\u00e9j\u00e0 \u00e0 la maintenance. Sans rien avoir chang\u00e9.<\/p>\n  <\/div>\n\n  <p>En chiffres&nbsp;: un d\u00e9ficit vis\u00e9 de 25&nbsp;% sur 2&nbsp;000&nbsp;kcal donne un objectif de 1&nbsp;500&nbsp;kcal. Avec 14&nbsp;% d&rsquo;adaptation, le TDEE r\u00e9el descend \u00e0 1&nbsp;720&nbsp;kcal et le d\u00e9ficit r\u00e9el n&rsquo;est plus que de 220&nbsp;kcal.<\/p>\n  <p>Le ph\u00e9nom\u00e8ne est graduel, donc difficile \u00e0 rep\u00e9rer. Tu perds du poids, tu valides ta m\u00e9thode, puis l&rsquo;\u00e9cart s&rsquo;installe semaine apr\u00e8s semaine jusqu&rsquo;\u00e0 l&rsquo;arr\u00eat complet.<\/p>\n  <p>Tu peux alors saisir chaque aliment au gramme pr\u00e8s et suivre 80 micronutriments&nbsp;: aucune de ces donn\u00e9es ne t&rsquo;indiquera que ta d\u00e9pense a baiss\u00e9 de 12&nbsp;%. La pr\u00e9cision porte sur ce que tu ing\u00e8res, pas sur ce que tu d\u00e9penses.<\/p>\n  <p>Cronometer ne mod\u00e9lise pas l&rsquo;adaptation m\u00e9tabolique. Ton objectif reste stable tant que tu ne modifies pas manuellement tes param\u00e8tres, quelle que soit la finesse de ton journal alimentaire.<\/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>Cronometer et Lean poursuivent deux objectifs diff\u00e9rents. Cronometer vise la pr\u00e9cision <strong>nutritionnelle<\/strong>&nbsp;: base USDA propre, plus de 80 micronutriments suivis, rigueur de laboratoire sur ce que tu ing\u00e8res. Lean vise la pr\u00e9cision <strong>\u00e9nerg\u00e9tique<\/strong>&nbsp;: combien ton corps d\u00e9pense r\u00e9ellement, jour apr\u00e8s jour. Les deux sont l\u00e9gitimes, mais un suivi micronutritionnel irr\u00e9prochable pos\u00e9 sur un TDEE approximatif ne fera pas fondre un gramme de plus. 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\">Le BMR sur bodyfat r\u00e9el<\/div>\n      <h3>Mod\u00e8le propri\u00e9taire brevet\u00e9, bas\u00e9 sur la masse maigre<\/h3>\n      <p>Cronometer propose l&rsquo;\u00e9quation Katch-McArdle si tu saisis ton bodyfat \u00e0 la main, ce qui est d\u00e9j\u00e0 mieux que la moyenne du march\u00e9. Le probl\u00e8me est ailleurs&nbsp;: qui conna\u00eet son taux de masse grasse \u00e0 jour, chaque semaine, sans DEXA&nbsp;? Lean part de la <strong>masse maigre<\/strong> mesur\u00e9e, pas d\u00e9clar\u00e9e.<\/p>\n      <p>C&rsquo;est le r\u00f4le du <strong>BodyScan IA<\/strong>&nbsp;: une photo, un mod\u00e8le entra\u00een\u00e9 sur une banque de scans DEXA, ton bodyfat en quelques secondes. Refait chaque semaine, il alimente automatiquement le calcul du m\u00e9tabolisme. La donn\u00e9e que Cronometer attend de toi, Lean la produit.<\/p>\n      <p>Ni pince \u00e0 pli cutan\u00e9, ni balance \u00e0 imp\u00e9dance sensible \u00e0 l&rsquo;hydratation, ni rendez-vous DEXA. Une photo hebdomadaire.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Pas de coefficient d&rsquo;activit\u00e9<\/div>\n      <h3>NEAT, EAT, TEF calculados separadamente<\/h3>\n      <p><strong>NEAT.<\/strong> Tes pas r\u00e9els remontent via HealthKit (iOS) ou Google Fit (Android), puis sont convertis en calories selon ton m\u00e9tabolisme. Cronometer sait importer des donn\u00e9es d&rsquo;activit\u00e9, mais son TDEE reste b\u00e2ti sur un facteur d&rsquo;activit\u00e9 que tu choisis&nbsp;: le poste le plus variable de ta d\u00e9pense reste une d\u00e9claration.<\/p>\n      <p><strong>EAT.<\/strong> Chaque s\u00e9ance est calcul\u00e9e par MET sur ton temps d&rsquo;effort r\u00e9el. Une heure de musculation entrecoup\u00e9e de repos ne vaut pas une heure de course&nbsp;: l&rsquo;\u00e9cart se chiffre en centaines de kcal sur une semaine d&rsquo;entra\u00eenement.<\/p>\n      <p><strong>TEF.<\/strong> Cronometer conna\u00eet tes macros au gramme pr\u00e8s, c&rsquo;est sa force. Lean s&rsquo;en sert pour calculer le co\u00fbt r\u00e9el de ta digestion&nbsp;: 20 \u00e0 30&nbsp;% pour les prot\u00e9ines, 5 \u00e0 10&nbsp;% pour les glucides, 1 \u00e0 3&nbsp;% pour les lipides, au lieu d&rsquo;un forfait de 10&nbsp;%.<\/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\">Adaptation m\u00e9tabolique automatique<\/div>\n      <h3>Une premi\u00e8re mondiale sur app grand public<\/h3>\n      <p><strong>L&rsquo;adaptation m\u00e9tabolique.<\/strong> Aucune base de donn\u00e9es, aussi propre soit-elle, ne d\u00e9tecte que ton m\u00e9tabolisme a ralenti de 12&nbsp;% apr\u00e8s huit semaines de d\u00e9ficit. Lean l&rsquo;estime semaine apr\u00e8s semaine selon les fourchettes publi\u00e9es (M\u00fcller 2015, Doucet 2001) et corrige ton TDEE en cons\u00e9quence.<\/p>\n      <p>Pass\u00e9 10 \u00e0 15&nbsp;% d&rsquo;adaptation, l&rsquo;app peut recommander un retour \u00e0 la maintenance avant de repartir en d\u00e9ficit. Le protocole des pr\u00e9parateurs, appliqu\u00e9 \u00e0 tes donn\u00e9es.<\/p>\n      <p>Aucun facteur d&rsquo;activit\u00e9 \u00e0 choisir. Chaque composant est mesur\u00e9, 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 face \u00e0 Cronometer, 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:#FDF1EA;border:1.5px solid #E15822;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\/logo-cronometer-real-1.webp\" alt=\"Cronometer\" 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:#E15822;letter-spacing:-0.2px\">Cronometer<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Comparatif Lean face \u00e0 Cronometer\">\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\/logo-cronometer-real-1.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Cronometer<\/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 mid\">&minus;<\/span> Mifflin-St Jeor 1990 par d\u00e9faut, Katch-McArdle en option (bodyfat manuel)<\/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, mesur\u00e9 dans l&rsquo;app<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Saisie manuelle via Katch-McArdle, optionnel<\/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, DEXA\/pince\/balance externe requis<\/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 chaque jour<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Mode active ajoute des kcal pas, mais hors recompute TDEE<\/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> Saisie manuelle par s\u00e9ance, base d&rsquo;exercices tr\u00e8s riche<\/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, int\u00e9gr\u00e9e au TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Macros affich\u00e9s tr\u00e8s pr\u00e9cis\u00e9ment, TEF non int\u00e9gr\u00e9e au TDEE<\/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, facteur d&rsquo;activit\u00e9 statique (sedentary \u00e0 extreme, PAL 1,2 \u00e0 1,9)<\/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 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, saisie manuelle ou code-barres<\/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 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> NCCDB + USDA, 80+ micronutriments, la plus rigoureuse du march\u00e9<\/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 au TDEE r\u00e9el<\/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> Objectif fixe, recalcul manuel requis<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Profondeur micronutriments (80+ vit\/min\/AA)<\/div>\n      <div class=\"cell lean\"><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> Macros + calories<\/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> 80+ micronutriments, r\u00e9f\u00e9rences NCCDB et DRI\/RDA<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Graphes vitamines, min\u00e9raux, om\u00e9ga, AA<\/div>\n      <div class=\"cell lean\"><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> Hors scope<\/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> R\u00e9f\u00e9rence du march\u00e9<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Couverture EU et localisation<\/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> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Anglais natif, FR\/ES\/PT en option, audience EN-first<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">R\u00e9putation et taille audience<\/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> 4.7\/5, 10&nbsp;000+ users, jeune app FR<\/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> 4.6\/5, 6M+ users, fond\u00e9e 2011, pl\u00e9biscit\u00e9e RDs et biohackers<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Modelo de neg\u00f3cio<\/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> Premium, essai gratuit 7 jours sur l&rsquo;annuel<\/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> Freemium, Gold disponible<\/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>La rigueur de Cronometer a un co\u00fbt&nbsp;: le temps de saisie. Lean propose trois m\u00e9thodes d&rsquo;enregistrement pour que la pr\u00e9cision ne se paie pas en abandon au bout de six semaines.<\/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. Tu scannes ton paquet de p\u00e2tes, tu obtiens les macros.<\/li>\n    <li><strong>Scan photo IA d&rsquo;un plat.<\/strong> Tu prends en photo ton assiette, l&rsquo;IA d\u00e9tecte les aliments, tu obtiens les calories et les macros par aliment.<\/li>\n  <\/ol>\n  <p>Le scan photo IA est le compl\u00e9ment direct d&rsquo;une base propre&nbsp;: au restaurant, sans \u00e9tiquette ni code-barres, tu photographies ton assiette au lieu de reconstituer la recette ingr\u00e9dient par ingr\u00e9dient.<\/p>\n  <p>Au-del\u00e0 du repas, Lean affiche un TDEE qui \u00e9volue pendant la journ\u00e9e avec tes pas. Cronometer te donne une photographie nutritionnelle exacte&nbsp;; Lean y ajoute la d\u00e9pense en mouvement.<\/p>\n  <p>Et pour prioriser, la Pyramide de Progression&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 tu n&rsquo;es 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=\"cronometer-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=\"cronometer-better\">Ce que Cronometer fait mieux<\/h2>\n  <p>Lean n&rsquo;est pas parfait, et Cronometer a plusieurs vraies forces qu&rsquo;il faut reconna\u00eetre. Lecture honn\u00eate, crit\u00e8re par crit\u00e8re, sur les axes o\u00f9 Cronometer reste devant. Aucun de ces axes n&rsquo;est secondaire : ce sont des piliers r\u00e9els de la promesse Cronometer.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Cronometer face \u00e0 Lean sur 4 axes nutrition\">\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\/logo-cronometer-real-1.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Cronometer<\/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\">Profondeur micronutriments (80+)<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:97%\"><\/i><\/div><div class=\"v\">9,7<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:35%\"><\/i><\/div><div class=\"v\">3,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Qualit\u00e9 de la base alimentaire<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:78%\"><\/i><\/div><div class=\"v\">7,8<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Suivi exercices par s\u00e9ance<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><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:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Adoption RDs et professionnels sant\u00e9<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/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>\n\n  <p style=\"margin-top:30px\"><strong>Lecture honn\u00eate.<\/strong> Sur les micronutriments, Cronometer est la r\u00e9f\u00e9rence absolue : 80+ vitamines, min\u00e9raux, om\u00e9ga-3\/6, acides amin\u00e9s essentiels et non-essentiels, avec affichage en pourcentage des DRI\/RDA et graphes de tendance. Aucune autre app grand public n&rsquo;approche cette profondeur. Lean affiche les macros et les calories, c&rsquo;est tout. Sur la base alimentaire, Cronometer s&rsquo;appuie sur NCCDB (la base la plus rigoureuse du march\u00e9 grand public, cur\u00e9e \u00e0 la main par leur \u00e9quipe), plus USDA et l&rsquo;IFNDC. Lean s&rsquo;appuie sur USDA et OpenFoodFacts cur\u00e9, ce qui couvre bien les usages quotidiens mais ne va pas aussi loin sur la qualit\u00e9 des entr\u00e9es exotiques ou des produits transform\u00e9s. Sur l&rsquo;adoption professionnelle, Cronometer est utilis\u00e9 par \u00e9norm\u00e9ment de di\u00e9t\u00e9ticiens-nutritionnistes (RDs) et de coachs sportifs comme outil de r\u00e9f\u00e9rence pour le bilan micronutritionnel hebdo de leurs clients.<\/p>\n  <p>Si ton angle principal est l&rsquo;optimisation micronutritionnelle (pr\u00e9-comp\u00e9tition, r\u00e9gime restrictif type vegan ou keto exigeant, pr\u00e9vention de carences fer\/B12\/D), ou si tu as besoin d&rsquo;un outil que ton RD ou ton coach peut auditer en consultation, Cronometer est plus pertinent que Lean. Si ton angle est la pr\u00e9cision du <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">calcul TDEE<\/a>, le bodyfat mesur\u00e9 chaque semaine via BodyScan IA, et l&rsquo;adaptation m\u00e9tabolique automatique, c&rsquo;est exactement ce qui vient d&rsquo;\u00eatre d\u00e9montr\u00e9 dans les 3 sections pr\u00e9c\u00e9dentes. Beaucoup d&rsquo;utilisateurs avanc\u00e9s font tourner les deux apps en parall\u00e8le, et c&rsquo;est tout \u00e0 fait d\u00e9fendable.<\/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>Quatre profils. Si l&rsquo;un d&rsquo;eux te correspond, Lean a des chances de te convenir.<\/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>Tu as utilis\u00e9 Cronometer s\u00e9rieusement et tu n&rsquo;as pas perdu<\/h4>\n        <p>Tu tiens un journal alimentaire rigoureux, tu connais tes micronutriments, et pourtant la perte de gras ne suit pas.<\/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>Tu stagnes apr\u00e8s plusieurs semaines de cut<\/h4>\n        <p>Le plateau appara\u00eet apr\u00e8s quatre \u00e0 huit semaines alors que ta saisie est irr\u00e9prochable. C&rsquo;est l&rsquo;adaptation m\u00e9tabolique&nbsp;: elle concerne la d\u00e9pense, pas les apports.<\/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>Tu veux comprendre ton m\u00e9tabolisme<\/h4>\n        <p>Tu veux la m\u00eame exigence analytique c\u00f4t\u00e9 d\u00e9pense&nbsp;: BMR, NEAT, EAT et TEF d\u00e9compos\u00e9s, adaptation trait\u00e9e \u00e0 part.<\/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>Tu veux un tracking qui dure 12 mois<\/h4>\n        <p>Tu veux r\u00e9duire le temps de saisie sans renoncer \u00e0 la fiabilit\u00e9&nbsp;: photo, base cur\u00e9e ou code-barres selon la situation.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Cronometer reste plus pertinent pour<\/strong>&nbsp;: le suivi micronutritionnel pouss\u00e9 (vitamines, min\u00e9raux, om\u00e9ga, acides amin\u00e9s), les r\u00e9gimes restrictifs (vegan, keto, low-FODMAP) o\u00f9 la pr\u00e9vention de carences est critique, ou le bilan partag\u00e9 avec ton di\u00e9t\u00e9ticien-nutritionniste. La pr\u00e9cision du calcul TDEE et l&rsquo;adaptation m\u00e9tabolique ne font juste pas partie de sa promesse principale.<\/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\">Passer de Cronometer \u00e0 Lean (ou utiliser les deux) en 3 minutes<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>T\u00e9l\u00e9charge Lean<\/h4><p>App Store ou Play Store. Inscription en trente secondes.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>BodyScan IA<\/h4><p>Une photo, cinq secondes&nbsp;: ton taux de masse grasse s&rsquo;affiche, sans DEXA ni saisie manuelle.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Poids &amp; taille<\/h4><p>Tu saisis ton poids et ta taille, et le calcul d\u00e9marre.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean calcule<\/h4><p>BMR sur masse maigre mesur\u00e9e, NEAT depuis tes pas via HealthKit ou Google Fit, EAT par MET, TEF sur tes macros, et l&rsquo;adaptation m\u00e9tabolique suivie semaine apr\u00e8s semaine.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Tracke un repas<\/h4><p>Photo, code-barres ou base cur\u00e9e&nbsp;: la saisie s&rsquo;adapte au contexte.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Note importante.<\/strong> Lean n&rsquo;importe pas ton historique Cronometer automatiquement, ni tes aliments custom. Si tu veux conserver un suivi micronutritionnel hebdomadaire en parall\u00e8le, beaucoup d&rsquo;utilisateurs avanc\u00e9s continuent \u00e0 logger 1 ou 2 journ\u00e9es par semaine dans Cronometer pour le check vitamines, tout en utilisant Lean au quotidien pour le TDEE et le tracking principal. La sync HealthKit \/ Google Health Connect, elle, prend le relais imm\u00e9diatement pour tes pas et ton historique d&rsquo;activit\u00e9.<\/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-cronometer\" 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-cronometer\" 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 Cronometer ne fait pas (sur le TDEE)<\/h2>\n  <p>Six fonctionnalit\u00e9s orient\u00e9es d\u00e9pense, l\u00e0 o\u00f9 la plupart des outils concentrent leur pr\u00e9cision sur les apports.<\/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\">Ton taux de masse grasse mesur\u00e9 depuis une photo chaque semaine. La donn\u00e9e que l&rsquo;\u00e9quation Katch-McArdle r\u00e9clame, produite automatiquement au lieu d&rsquo;\u00eatre saisie \u00e0 la main.<\/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\">Un repas enregistr\u00e9 en deux secondes par photo, quand reconstituer une recette ingr\u00e9dient par ingr\u00e9dient prendrait plusieurs minutes.<\/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\">Ton TDEE se corrige semaine apr\u00e8s semaine selon les fourchettes publi\u00e9es. Aucun journal alimentaire, aussi pr\u00e9cis soit-il, ne d\u00e9tecte cette d\u00e9rive.<\/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 et TEF affich\u00e9s s\u00e9par\u00e9ment et mis \u00e0 jour dans la journ\u00e9e&nbsp;: la m\u00eame exigence analytique appliqu\u00e9e \u00e0 la d\u00e9pense.<\/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\">Tes tendances de poids, de masse grasse et de masse maigre sur plusieurs mois, pour lire tes cycles au-del\u00e0 de la variation quotidienne.<\/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\">Une hi\u00e9rarchie de priorit\u00e9s&nbsp;: adh\u00e9rence, objectif calorique, pas. Utile quand la donn\u00e9e abonde et qu&rsquo;il faut savoir par o\u00f9 commencer.<\/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>Cronometer est la r\u00e9f\u00e9rence micronutriments, pourquoi le comparer \u00e0 Lean sur le TDEE&nbsp;?<\/summary><div class=\"ans\">Cronometer est la r\u00e9f\u00e9rence du march\u00e9 sur les 80+ micronutriments gr\u00e2ce \u00e0 la base NCCDB. Mais sa promesse principale reste le suivi calorique et l&rsquo;objectif TDEE. Sur ce point pr\u00e9cis, Cronometer utilise Mifflin-St Jeor 1990 sans bodyfat (option Katch-McArdle existe mais exige un bodyfat saisi manuellement) et un facteur d&rsquo;activit\u00e9 statique choisi \u00e0 l&rsquo;inscription. Ce sont deux outils compl\u00e9mentaires&nbsp;: Cronometer pour la profondeur micronutritionnelle, Lean pour la pr\u00e9cision du calcul TDEE.<\/div><\/details>\n    <details><summary>Pourquoi Cronometer ne calcule pas le BMR sur le bodyfat r\u00e9el par d\u00e9faut&nbsp;?<\/summary><div class=\"ans\">Cronometer propose une option Katch-McArdle qui prend en compte la masse maigre, mais cette option exige que tu rentres ton bodyfat manuellement (DEXA, pince \u00e0 pli, ou estimation). Aucune mesure int\u00e9gr\u00e9e dans l&rsquo;app. La grande majorit\u00e9 des utilisateurs reste donc sur le calcul Mifflin-St Jeor par d\u00e9faut. Lean int\u00e8gre le BodyScan IA pour mesurer ton bodyfat depuis une simple photo, \u00e0 refaire chaque semaine, ce qui rend le calcul masse-maigre vraiment exploitable au quotidien.<\/div><\/details>\n    <details><summary>Lean track-il les micronutriments comme Cronometer&nbsp;?<\/summary><div class=\"ans\">Pas \u00e0 la m\u00eame profondeur. Cronometer affiche 80+ micronutriments (vitamines A \u00e0 K, min\u00e9raux, om\u00e9ga-3\/6, acides amin\u00e9s essentiels) gr\u00e2ce \u00e0 la base NCCDB. Lean affiche les macros (prot\u00e9ines, glucides, lipides) et les calories, bas\u00e9 sur USDA + OpenFoodFacts. Si ton angle principal est l&rsquo;optimisation micronutritionnelle ou la pr\u00e9vention de carences, Cronometer est plus pertinent. Si ton angle est la pr\u00e9cision du calcul TDEE et de la recomposition corporelle, Lean est plus pertinent.<\/div><\/details>\n    <details><summary>Cronometer importe les pas via HealthKit, \u00e7a suffit pour la NEAT&nbsp;?<\/summary><div class=\"ans\">Cronometer importe les pas et l&rsquo;activit\u00e9 via Apple Health et Google Fit, mais les utilise pour estimer une d\u00e9pense exercice ajout\u00e9e \u00e0 l&rsquo;objectif calorique journalier. Le facteur d&rsquo;activit\u00e9 statique choisi \u00e0 l&rsquo;inscription (sedentary, light, moderate, heavy, extreme) reste la base du calcul TDEE. Lean, \u00e0 l&rsquo;inverse, calcule la NEAT directement \u00e0 partir des pas r\u00e9els mesur\u00e9s chaque jour, sans coefficient \u00e0 choisir.<\/div><\/details>\n    <details><summary>Lean est freemium ou payant&nbsp;?<\/summary><div class=\"ans\">Lean est Premium, avec un essai gratuit de 7 jours sur l&rsquo;abonnement annuel. Tu t\u00e9l\u00e9charges, tu testes BodyScan IA, scan photo IA d&rsquo;un plat, recomposition TDEE, sans engagement. Si l&rsquo;outil colle \u00e0 ton objectif, tu continues. Sinon tu d\u00e9sactives le renouvellement avant la fin de la p\u00e9riode d&rsquo;essai.<\/div><\/details>\n    <details><summary>Peut-on utiliser Lean et Cronometer en parall\u00e8le&nbsp;?<\/summary><div class=\"ans\">Oui, les deux outils sont compl\u00e9mentaires sur l&rsquo;angle nutrition. Beaucoup d&rsquo;utilisateurs avanc\u00e9s (RDs, biohackers, athl\u00e8tes) g\u00e8rent leur TDEE et leur recomposition dans Lean, et font un check micronutritionnel hebdomadaire dans Cronometer pour rep\u00e9rer les carences. Les bases de donn\u00e9es sont diff\u00e9rentes (USDA + OpenFoodFacts c\u00f4t\u00e9 Lean, NCCDB + USDA c\u00f4t\u00e9 Cronometer) donc l&rsquo;effort de double saisie est r\u00e9el&nbsp;: c&rsquo;est un trade-off \u00e0 arbitrer selon tes priorit\u00e9s.<\/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\">1990 face \u00e0 2026<\/h2>\n  <p>Ce n&rsquo;est pas un duel marketing. C&rsquo;est la pr\u00e9cision des apports face \u00e0 la pr\u00e9cision de la d\u00e9pense&nbsp;: deux exigences compl\u00e9mentaires.<\/p>\n  <p>Cronometer reste imbattable pour qui veut suivre ses micronutriments avec une base USDA rigoureuse et une communaut\u00e9 scientifique active.<\/p>\n  <p>Lean traite l&rsquo;autre moiti\u00e9 du calcul&nbsp;: un m\u00e9tabolisme calcul\u00e9 sur la masse maigre mesur\u00e9e par BodyScan IA via un mod\u00e8le propri\u00e9taire brevet\u00e9, un NEAT tir\u00e9 de tes pas r\u00e9els, un EAT par MET, un TEF sur tes macros, et l&rsquo;adaptation m\u00e9tabolique suivie semaine apr\u00e8s semaine.<\/p>\n  <p>La qualit\u00e9 de la base alimentaire et la profondeur analytique restent les points forts de Cronometer. Si ton journal est irr\u00e9prochable et que la progression s&rsquo;est arr\u00eat\u00e9e, c&rsquo;est du c\u00f4t\u00e9 de la d\u00e9pense qu&rsquo;il faut chercher.<\/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&nbsp;: ni pince \u00e0 pli cutan\u00e9, ni balance \u00e0 imp\u00e9dance, ni 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-cronometer\" 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-cronometer\" 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>Katch V.L., McArdle W.D. (1973). Prediction of body density from simple anthropometric measurements in college-age men and women. Human Biology.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n    <li>Schakel S.F., Sievert Y.A., Buzzard I.M. (1988). Sources of data for developing and maintaining a nutrient database (NCCDB). Journal of the American Dietetic Association.<\/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 en 2026, mis \u00e0 jour r\u00e9guli\u00e8rement avec les retours d&rsquo;utilisateurs et les nouvelles \u00e9tudes pertinentes. Lean est disponible sur iOS et Android.<\/p>\n      <\/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-cronometer\" 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-cronometer\" 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  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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La r\u00e9f\u00e9rence micronutriments face au seul qui recompose ton TDEE en continu. Cronometer voit tes vitamines. Lean voit ta d\u00e9pense r\u00e9elle. Deux profondeurs, deux promesses. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 21 mai 2026 T\u00e9l\u00e9chargement [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1384,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1379","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 face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE (2026)<\/title>\n<meta name=\"description\" content=\"Cronometer voit 80+ micronutriments. 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