{"id":485,"date":"2025-07-13T23:54:29","date_gmt":"2025-07-13T23:54:29","guid":{"rendered":"https:\/\/lean-app.com\/?p=485"},"modified":"2026-09-05T10:40:02","modified_gmt":"2026-09-05T10:40:02","slug":"comment-compter-ses-calories","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/","title":{"rendered":"Como contar suas calorias: os 4 m\u00e9todos comparados"},"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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.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-485 #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-485 #lvm-shell .wrap,\nbody.postid-485 #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-485 #lvm-shell .wrap,\n  body.postid-485 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-485 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-485 #lvm-shell *{max-width:100%}\nbody.postid-485 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-485 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-485 #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-485 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-485 #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-485 #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-485 #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-485 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #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-485 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-485 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #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-485 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-485 #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-485 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-485 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-485 #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-485 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-485 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-485 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-485 #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-485 #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-485 #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-485 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-485 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-485 #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-485 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-485 #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-485 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-485 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-485 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-485 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-485 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-485 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-485 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-485 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-485 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .table{border-radius:14px!important}\n  body.postid-485 #lvm-shell .table-row.head{display:none!important}\n  body.postid-485 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-485 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro 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body.postid-485 #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-485 #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-485 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-485 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-485 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-485 #lvm-shell .bodyscan-illust 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O problema nunca foi a efic\u00e1cia, \u00e9 a ader\u00eancia: a entrada manual alimento por alimento esgota todo mundo, e quase 80&nbsp;% das pessoas abandonam em menos de 3&nbsp;meses. Este guia compara os 4 m\u00e9todos para contar suas calorias, do mais r\u00e1pido (scan IA de foto, 5&nbsp;segundos) ao mais preciso (base de dados + balan\u00e7a), e te diz qual escolher segundo seu perfil.\n    <\/div>\n        <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela<br>para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vis\u00e3o geral do app Lean com detalhamento do TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Voltar\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vis\u00e3o geral Lean, aba Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Aba Balan\u00e7o\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Aba Calorias\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Aba Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Aba Estrat\u00e9gia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar no app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balan\u00e7o<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorias<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrat\u00e9gia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Resposta r\u00e1pida<\/div>\n    <p>Quatro m\u00e9todos para contar suas calorias: o <strong>scan IA de foto<\/strong> (voc\u00ea fotografa seu prato, a IA identifica cada alimento e sua quantidade), o <strong>scan de c\u00f3digo de barras<\/strong> (produtos embalados, dados do fabricante), a <strong>base de dados<\/strong> (busca + pesagem, o modo mais preciso) e a<strong>adi\u00e7\u00e3o r\u00e1pida<\/strong> (um valor global em 10&nbsp;segundos). O m\u00e9todo certo \u00e9 aquele que voc\u00ea vai manter por 6 meses, n\u00e3o o mais preciso no papel. E contar suas entradas s\u00f3 serve se seu gasto, o <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure: seu gasto cal\u00f3rico total em 24&nbsp;h. TDEE = BMR + NEAT + EAT + TEF.<\/span><\/span>, for calculado corretamente.<\/p>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; A constata\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"constat\">Por que 80&nbsp;% das pessoas param de contar em 3 meses<\/h2>\n  <p>Contar calorias funciona. N\u00e3o \u00e9 essa a quest\u00e3o. A quest\u00e3o \u00e9 que quase ningu\u00e9m aguenta: os estudos sobre programas de perda de peso mostram uma evas\u00e3o massiva desde as primeiras semanas, bem antes do primeiro resultado vis\u00edvel na balan\u00e7a.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">dos inscritos em um programa de perda de peso abandonam nos 3 primeiros meses (Alexander et al., 2018). A causa dominante: o atrito do acompanhamento, n\u00e3o a falta de for\u00e7a de vontade.<\/div>\n  <\/div>\n\n  <p>O atrito, concretamente: buscar \u00abpeito de frango\u00bb em uma lista, escolher a entrada certa entre 40 duplicatas, estimar 150&nbsp;g a olho, recome\u00e7ar para o feij\u00e3o, depois para o azeite. Tr\u00eas vezes por dia. 90 vezes por m\u00eas. \u00c9 essa contabilidade que mata o tracking, n\u00e3o a ideia de registrar.<\/p>\n\n  <p>Conclus\u00e3o pr\u00e1tica: a escolha do seu m\u00e9todo de registro n\u00e3o \u00e9 um detalhe de ergonomia. \u00c9 A vari\u00e1vel que decide se seus dados ainda v\u00e3o existir daqui a 3 meses. Aqui est\u00e3o os 4 m\u00e9todos, classificados do mais r\u00e1pido ao mais exigente.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"scan-ia\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; M\u00e9todo 1<\/span><\/div>\n  <h2 id=\"scan-ia\">O scan IA de foto: 5 segundos por refei\u00e7\u00e3o<\/h2>\n  <p>Voc\u00ea fotografa seu prato. A IA do Lean faz uma <strong>dupla identifica\u00e7\u00e3o<\/strong> : primeiro ela reconhece cada alimento presente (frango grelhado, vagem), depois estima a quantidade de cada um. O resultado n\u00e3o \u00e9 um n\u00famero global tirado da cartola: \u00e9 uma decomposi\u00e7\u00e3o alimento por alimento, com calorias e macros para cada linha.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-ia-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/scan-aliments-ia-application-lean.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">O scan IA em condi\u00e7\u00f5es reais: foto, an\u00e1lise, resultado.<\/figcaption><\/figure>\n\n  <p>Em imagens, passo a passo, em uma refei\u00e7\u00e3o de verdade:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/scan-ia-repas-analyse-nutritionnelle-lean-app-511x1024.jpg\" alt=\"Scan IA dans Lean : photo du plat prise, champ de d\u00e9tails optionnel au clavier\" width=\"511\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Voc\u00ea enquadra. Um detalhe no teclado, se quiser.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/analyse-ia-repas-poulet-haricots-verts-lean-app-519x1024.jpg\" alt=\"Analyse IA en cours dans Lean : la photo du plat est trait\u00e9e\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">A IA analisa o prato.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-repas-poulet-lean-app-519x1024.jpg\" alt=\"R\u00e9sultat du scan IA : chaque aliment compt\u00e9 avec calories et macros\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Cada alimento contado.<\/figcaption><\/figure><\/div>\n\n  <p>Em pratos comuns, o erro t\u00edpico \u00e9 de cerca de \u00b110&nbsp;% por refei\u00e7\u00e3o. \u00c9 menos preciso do que uma balan\u00e7a, e amplamente suficiente para pilotar uma perda de gordura (voltamos a isso com a lei dos grandes n\u00fameros mais abaixo). Sobretudo, \u00e9 o \u00fanico m\u00e9todo que cobre as refei\u00e7\u00f5es sem r\u00f3tulo: caseira, restaurante, refeit\u00f3rio.<\/p>\n\n  <h3>Onde o Lean vai mais longe: voc\u00ea mant\u00e9m o controle<\/h3>\n  <p>Um scan IA s\u00f3 \u00e9 \u00fatil se voc\u00ea pode corrigir o que ele prop\u00f5e. O Lean te deixa tr\u00eas alavancas, por alimento:<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Alavanca 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Modificar as quantidades<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Um slider por alimento: aqui, o p\u00e3o estimado em 101,4&nbsp;g pela IA, corrigido para 70&nbsp;g. Calorias e total do prato se recalculam instantaneamente.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/mise-a-jour-calories-apres-ajustement-scan-ia-519x1024.jpg\" alt=\"Repas scann\u00e9 dans Lean avant correction : pain estim\u00e9 \u00e0 101,4 g\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">P\u00e3o estimado em 101,4&nbsp;g pela IA.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-quantites-macros-scan-ia-lean-app-514x1024.jpg\" alt=\"Slider de quantit\u00e9 dans Lean : pain corrig\u00e9 \u00e0 70 g, recalcul instantan\u00e9\" width=\"514\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Corrigido para 70&nbsp;g, tudo se recalcula.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Alavanca 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Modificar os macros<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Voc\u00ea conhece sua receita melhor do que a m\u00e9dia? Aqui, as batatas chips: a IA prop\u00f5e 4,1&nbsp;g de gorduras, voc\u00ea corrige para 14&nbsp;g. Donut e total acompanham.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-aliment-scan-ia-lean-app-527x1024.jpg\" alt=\"Macros des chips estim\u00e9es par l'IA dans Lean : 4,1 g de lipides\" width=\"527\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Chips segundo a IA: 4,1&nbsp;g de gorduras.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modification-quantite-chips-scan-ia-lean-app-517x1024.jpg\" alt=\"Macros des chips corrig\u00e9es \u00e0 la main dans Lean : 14 g de lipides\" width=\"517\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Corrigidas \u00e0 m\u00e3o: 14&nbsp;g.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Alavanca 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Re-escanear um \u00fanico alimento<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">A IA confundiu o peru com queijo? Voc\u00ea digita o nome certo, a linha se reanalisa sozinha, sem refazer o prato inteiro.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-chips-scan-ia-lean-app-516x1024.jpg\" alt=\"Re-scan d'un aliment dans Lean : saisie du bon nom au clavier\" width=\"516\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Voc\u00ea especifica: presunto de peru.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-final-apres-correction-scan-ia-lean-app-518x1024.jpg\" alt=\"R\u00e9sultat apr\u00e8s re-scan dans Lean : jambon de dinde identifi\u00e9, total recalcul\u00e9\" width=\"518\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Presunto de peru, 53&nbsp;kcal. Total recalculado.<\/figcaption><\/figure><\/div><\/div><\/div>\n\n  <h3>O teste diante do Cal AI: decomposi\u00e7\u00e3o contra valor global<\/h3>\n  <p>Mesma foto, dois apps. A diferen\u00e7a salta aos olhos:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:190px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/comparatif-analyse-ia-repas-lean-vs-cal-ai-532x1024.jpg\" alt=\"Comparatif scan IA : la m\u00eame photo de repas donn\u00e9e \u00e0 Lean et \u00e0 Cal AI\" width=\"532\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">A mesma foto, dada aos dois apps.<\/figcaption><\/figure><\/div>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:center;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-sandwich-chips-lean-app-533x1024.jpg\" alt=\"R\u00e9sultat Lean : sandwich et chips d\u00e9compos\u00e9s aliment par aliment\" width=\"533\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Lean: cada alimento, total detalhado.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:200px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-scan-repas-ia-application-cal-ai-869x1024.webp\" alt=\"R\u00e9sultat Cal AI : enveloppe globale du plat sans d\u00e9composition\" width=\"869\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Cal AI: um valor global por prato.<\/figcaption><\/figure><\/div>\n\n  <p>\u00c9 a diferen\u00e7a estrutural em rela\u00e7\u00e3o \u00e0 maioria dos apps de scan, Cal AI \u00e0 frente: eles devolvem um <strong>valor global<\/strong> por prato, um total de calorias e macros sem decomposi\u00e7\u00e3o modific\u00e1vel alimento por alimento. Se a estimativa est\u00e1 errada, voc\u00ea a aceita ou a joga fora. Com uma decomposi\u00e7\u00e3o por alimento, o erro se corrige em dois toques.<\/p>\n\n  <p><strong>O bom uso:<\/strong> pratos caseiros, restaurante, refeit\u00f3rio, todas as refei\u00e7\u00f5es sem c\u00f3digo de barras. O m\u00e9todo padr\u00e3o de 90&nbsp;% das refei\u00e7\u00f5es.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"code-barres\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; M\u00e9todo 2<\/span><\/div>\n  <h2 id=\"code-barres\">O scan de c\u00f3digo de barras: a precis\u00e3o do r\u00f3tulo<\/h2>\n  <p>Para tudo o que sai de uma embalagem, o c\u00f3digo de barras \u00e9 imbat\u00edvel: os valores nutricionais v\u00eam diretamente dos dados do fabricante. O Lean se apoia nas bases USDA e OpenFoodFacts, ou seja milh\u00f5es de refer\u00eancias. Voc\u00ea escaneia, ajusta a quantidade, pronto.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-code-barres-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Barcode-Scan-calorie-lean-app.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Scan do c\u00f3digo de barras: ficha exata, adi\u00e7\u00e3o direta.<\/figcaption><\/figure>\n\n  <p>O limite \u00e9 evidente: seu prato de macarr\u00e3o caseiro n\u00e3o tem c\u00f3digo de barras. \u00c9 por isso que esse m\u00e9todo se combina naturalmente com o scan IA de foto, ele n\u00e3o o substitui.<\/p>\n\n  <p><strong>O bom uso:<\/strong> compras, snacks, produtos processados, shakes. Precis\u00e3o m\u00e1xima no industrializado, zero esfor\u00e7o.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"base-donnees\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; M\u00e9todo 3<\/span><\/div>\n  <h2 id=\"base-donnees\">A base de dados + balan\u00e7a: o modo precis\u00e3o<\/h2>\n  <p>O m\u00e9todo hist\u00f3rico: voc\u00ea pesa seu alimento, busca na base, insere as gramas. Com uma balan\u00e7a de cozinha, \u00e9 o m\u00e9todo mais preciso que existe, o das prepara\u00e7\u00f5es de competi\u00e7\u00e3o e dos protocolos cl\u00ednicos.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/fonctionnalites-ajout-aliment-recherche-scan-lean-app-502x1024.jpg\" alt=\"Recherche d'un aliment dans la base de donn\u00e9es Lean avec historique et ajout rapide\" width=\"502\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Busca, hist\u00f3rico, adi\u00e7\u00e3o em dois toques.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-thon-conserve-lean-app-501x1024.jpg\" alt=\"Fiche nutritionnelle exacte d'un produit dans Lean avec impact sur les budgets du jour\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Ficha exata do produto, impacto ao vivo.<\/figcaption><\/figure><\/div>\n\n  <p>O painel \u00abRestantes \/ Impacto\u00bb te mostra, antes mesmo de validar, o que o alimento muda nos seus or\u00e7amentos do dia: calorias, prote\u00ednas, carboidratos, gorduras, fibras. Voc\u00ea decide com conhecimento de causa, n\u00e3o depois.<\/p>\n\n  <p>O Lean reduz o atrito ao m\u00ednimo: hist\u00f3rico dos seus alimentos frequentes, busca em USDA + OpenFoodFacts, adi\u00e7\u00e3o em dois toques a partir da lista. Mas sejamos honestos sobre o custo real: 2 a 3 minutos por refei\u00e7\u00e3o, e a disciplina de pesar. \u00c9 precisamente esse atrito que produz os 80&nbsp;% de abandono do m\u00e9todo cl\u00e1ssico.<\/p>\n\n  <p><strong>O bom uso:<\/strong> cutting estrito, recomposi\u00e7\u00e3o avan\u00e7ada, esportes com categoria de peso. E seus 5 a 10 alimentos recorrentes do dia a dia, que o hist\u00f3rico torna quase instant\u00e2neos.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"ajout-rapide\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; M\u00e9todo 4<\/span><\/div>\n  <h2 id=\"ajout-rapide\">A adi\u00e7\u00e3o r\u00e1pida: o valor global que salva o dia<\/h2>\n  <p>Buffet de anivers\u00e1rio, dia sobrecarregado, refei\u00e7\u00e3o em p\u00e9 entre duas reuni\u00f5es: algumas refei\u00e7\u00f5es nunca ser\u00e3o registradas com precis\u00e3o. A adi\u00e7\u00e3o r\u00e1pida te deixa inserir um valor global, calorias e macros estimados, em 10 segundos. Menos preciso, infinitamente melhor do que um buraco nos dados.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/ajout-rapide-calories-macros-lean-app-501x1024.jpg\" alt=\"Formulaire d'ajout rapide dans Lean : nom, calories et macros saisis \u00e0 la main\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Nome, calorias, macros: 10 segundos.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-ajout-rapide-repas-journal-alimentaire-lean-app-501x1024.jpg\" alt=\"Ajout rapide enregistr\u00e9 dans le journal alimentaire Lean\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Um valor global, dia salvo.<\/figcaption><\/figure><\/div>\n\n  <p>O balan\u00e7o cal\u00f3rico ao vivo faz o resto: na captura, 2&nbsp;143&nbsp;kcal de objetivo, 1&nbsp;000 consumidas, 1&nbsp;143 restantes, recalculadas continuamente ao longo do dia. Um dia aproximado mas registrado vale mais do que um dia perfeito abandonado: \u00e9 a m\u00e9dia semanal que pilota o resultado, n\u00e3o a pureza de um dia isolado.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-repas-ajout-rapide-lean-app-504x1024.jpg\" alt=\"D\u00e9tails nutritionnels d'un repas en ajout rapide dans Lean : restants et impact\" width=\"504\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Restantes e impacto, recalculados ao vivo.<\/figcaption><\/figure><\/div>\n\n  <p><strong>O bom uso:<\/strong> dias cheios, refei\u00e7\u00f5es sociais, socorro antiabandono. O m\u00e9todo que impede o \u00abperdi uma refei\u00e7\u00e3o, azar para a semana\u00bb.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" 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=guide-compter-calories\" 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<\/section>\n\n\n<section aria-labelledby=\"profils\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Escolher<\/span><\/div>\n  <h2 id=\"profils\">Qual m\u00e9todo para qual perfil<\/h2>\n  <p>Primeiro, o confronto dos 4 m\u00e9todos nos 4 crit\u00e9rios que contam: a facilidade por refei\u00e7\u00e3o, a disponibilidade (funciona em todo lugar, o tempo todo?), a manuten\u00e7\u00e3o no longo prazo e a precis\u00e3o.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><h3 style=\"margin:0 0 2px;font-size:17px\">Scan IA de foto<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">A foto, 5 segundos<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Facilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Disponibilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Longo prazo<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precis\u00e3o<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><h3 style=\"margin:0 0 2px;font-size:17px\">C\u00f3digo de barras<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">O r\u00f3tulo exato<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Facilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Disponibilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Longo prazo<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precis\u00e3o<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><h3 style=\"margin:0 0 2px;font-size:17px\">Base de dados + balan\u00e7a<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">O modo precis\u00e3o<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Facilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Disponibilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Longo prazo<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precis\u00e3o<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #6E6E73\"><h3 style=\"margin:0 0 2px;font-size:17px\">Adi\u00e7\u00e3o r\u00e1pida<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">O valor global de socorro<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Facilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Disponibilidade<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Longo prazo<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precis\u00e3o<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><\/div><\/div><\/div>\n\n  <p style=\"font-size:13px;color:#6E6E73;margin-top:-6px\"><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span> excelente &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span> bom &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span> ponto fraco. \u00abLongo prazo\u00bb = a probabilidade de voc\u00ea ainda usar o m\u00e9todo daqui a 6 meses.<\/p>\n\n  <p>Leitura do confronto: nenhum m\u00e9todo ganha em tudo. O scan IA domina na ader\u00eancia, a base + balan\u00e7a na precis\u00e3o, e a adi\u00e7\u00e3o r\u00e1pida s\u00f3 existe para tapar os buracos. Da\u00ed os perfis: os 4 m\u00e9todos n\u00e3o se excluem, a boa estrat\u00e9gia \u00e9 um mix, dosado segundo sua exig\u00eancia do momento e sua agenda. Tr\u00eas perfis cobrem a quase totalidade dos casos.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Perfil 1 \u00b7 Iniciante<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Zero atrito, aprender fazendo<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Scan IA de foto em todo lugar, c\u00f3digo de barras no embalado, nenhuma pesagem. Objetivo \u00fanico: aguentar 3 meses e educar seu olho nas por\u00e7\u00f5es. A precis\u00e3o vir\u00e1 depois, o h\u00e1bito primeiro.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><div class=\"kicker\" style=\"color:#0F8F5C;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Perfil 2 \u00b7 Rigor m\u00e1ximo<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Cada por cento conta<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Balan\u00e7a + base de dados nas refei\u00e7\u00f5es caseiras, c\u00f3digo de barras no embalado, scan IA no restaurante. Para as fases curtas em que a precis\u00e3o realmente compensa: fim de cutting, pesagem oficial.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><div class=\"kicker\" style=\"color:#C8A019;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Perfil 3 \u00b7 Apressado ou avan\u00e7ado<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Dados confi\u00e1veis sem pensar nisso<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">C\u00f3digo de barras e scan IA no dia a dia, adi\u00e7\u00e3o r\u00e1pida de socorro nos dias imposs\u00edveis. Voc\u00ea j\u00e1 conhece suas por\u00e7\u00f5es, s\u00f3 quer que os dados existam.<\/p><\/div><\/div>\n\n  <p>Regra de decis\u00e3o, v\u00e1lida para todo mundo: em caso de d\u00favida, escolha o m\u00e9todo mais leve que voc\u00ea tem certeza de manter. Um dado perfeito que voc\u00ea para de inserir ap\u00f3s 3 semanas vale zero.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"precision\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Precis\u00e3o<\/span><\/div>\n  <h2 id=\"precision\">O erro de \u00b110&nbsp;% que desaparece em um m\u00eas<\/h2>\n  <p>A obje\u00e7\u00e3o cl\u00e1ssica diante do scan IA: \u00ab\u00b110&nbsp;% de erro \u00e9 demais\u00bb. \u00c9 raciocinar sobre uma refei\u00e7\u00e3o isolada. Ora, voc\u00ea n\u00e3o registra uma refei\u00e7\u00e3o: registra cerca de 90 por m\u00eas.<\/p>\n\n  <div role=\"img\" aria-label=\"Doze refei\u00e7\u00f5es escaneadas: superestimativas e subestimativas se compensam em torno do consumo real\" style=\"margin:24px 0;padding:24px 20px 14px;background:#F7F6F2;border-radius:12px\"><div style=\"position:relative;height:150px;display:flex;align-items:flex-start;gap:6px\"><div style=\"position:absolute;left:0;right:0;top:74px;height:2px;background:#0E0E10;z-index:2\"><\/div><div style=\"flex:1;height:58px;margin-top:17px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:30px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:22px;margin-top:53px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:48px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:40px;margin-top:35px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:12px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:30px;margin-top:45px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:55px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:18px;margin-top:57px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:35px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:45px;margin-top:30px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:20px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><\/div><div style=\"display:flex;justify-content:space-between;margin-top:10px;font-size:12px;color:#6E6E73\"><span>Refei\u00e7\u00e3o 1<\/span><span>Refei\u00e7\u00e3o 12<\/span><\/div><p style=\"margin:10px 0 0;font-size:13px;color:#3A3A3C;line-height:1.5;text-transform:none\">Rosa: refei\u00e7\u00f5es superestimadas. Verde: refei\u00e7\u00f5es subestimadas. Linha preta: seu consumo real. Em um m\u00eas, os desvios se compensam.<\/p><\/div>\n\n  <p>\u00c9 a lei dos grandes n\u00fameros (Kolmogorov): erros aleat\u00f3rios independentes se compensam quando o n\u00famero de observa\u00e7\u00f5es aumenta. Os +12&nbsp;% de segunda anulam os 8&nbsp;% faltantes de ter\u00e7a. O que resta em um m\u00eas \u00e9 o vi\u00e9s m\u00e9dio do modelo, pr\u00f3ximo de zero em um scan bem calibrado, n\u00e3o o ru\u00eddo de uma refei\u00e7\u00e3o.<\/p>\n\n  <p>A entrada manual, por sua vez, sofre de um problema de natureza totalmente diferente: um <strong>vi\u00e9s sistem\u00e1tico<\/strong>. Os humanos subdeclaram o que comem, sempre no mesmo sentido, e um vi\u00e9s nunca se suaviza.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">47&nbsp;%<\/div>\n    <div class=\"lbl\">de diferen\u00e7a entre as calorias declaradas \u00e0 m\u00e3o e as calorias realmente consumidas, medida com \u00e1gua duplamente marcada em sujeitos em fracasso de dieta (Lichtman, NEJM 1992). O vi\u00e9s humano n\u00e3o se compensa, o ru\u00eddo aleat\u00f3rio do scan, sim.<\/div>\n  <\/div>\n\n  <p>Moral da hist\u00f3ria: a pergunta n\u00e3o \u00e9 \u00abo scan IA \u00e9 perfeito?\u00bb mas \u00abqual m\u00e9todo produz os dados mais corretos em 90 refei\u00e7\u00f5es?\u00bb. E a\u00ed, a automa\u00e7\u00e3o ganha, porque ela substitui um vi\u00e9s direcional por um ru\u00eddo que se anula.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"depense\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; O gasto<\/span><\/div>\n  <h2 id=\"depense\">Contar n\u00e3o basta: falta a outra metade da equa\u00e7\u00e3o<\/h2>\n  <p>Um di\u00e1rio alimentar perfeito n\u00e3o diz nada sozinho. Perder gordura \u00e9 um balan\u00e7o energ\u00e9tico negativo: entradas abaixo das sa\u00eddas. Se seu gasto est\u00e1 mal calculado, seu d\u00e9ficit \u00e9 uma fic\u00e7\u00e3o cont\u00e1bil, e voc\u00ea pode contar suas calorias na grama sem nunca avan\u00e7ar.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">TDEE = BMR + NEAT + EAT + TEF<\/div>\n    <div class=\"lbl\">A equa\u00e7\u00e3o can\u00f4nica do gasto. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\">BMR<\/a> = metabolismo basal. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT<\/a> = atividade fora do esporte. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/eat\/\">EAT<\/a> = treinos. <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF<\/a> = digest\u00e3o.<\/div>\n  <\/div>\n\n  <p>O problema: a quase totalidade dos apps estima seu gasto com Harris-Benedict (1919) ou Mifflin-St Jeor (1990), f\u00f3rmulas pelo peso bruto que ignoram sua composi\u00e7\u00e3o corporal. Com peso igual, um corpo com 15&nbsp;% de gordura corporal e um corpo com 30&nbsp;% n\u00e3o queimam nada parecido. O Lean calcula o gasto de outra forma, em quatro etapas:<\/p>\n\n  <div class=\"bodyscan-illust\">\n    <div class=\"mini-phone\">\n      <div class=\"notch\"><\/div>\n      <div class=\"scr\" style=\"background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp);background-size:cover;background-position:center top;background-repeat:no-repeat\"><\/div>\n    <\/div>\n    <div class=\"mini-cap\" style=\"text-align:center;font-size:13px;color:#6E6E73;max-width:200px\">Gordura corporal real. Foto, 5 segundos.<\/div>\n  <\/div>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Passo 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">BodyScan IA<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Voc\u00ea tira uma foto no app. A IA estima sua gordura corporal a partir da sua morfologia vis\u00edvel, refeita toda semana. \u00c9 essa medi\u00e7\u00e3o que ancora todo o c\u00e1lculo na sua massa magra, n\u00e3o no seu peso bruto.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Passo 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">BMR via modelo propriet\u00e1rio patenteado<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">O algoritmo patenteado Lean calcula seu metabolismo basal a partir da sua massa magra real. Mais preciso do que Harris-Benedict 1919 ou Mifflin-St Jeor 1990, que s\u00f3 conhecem seu peso.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Passo 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">NEAT, EAT e TEF medidos, n\u00e3o fixados<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Seus passos contam no NEAT, seus treinos no EAT via as tabelas MET de refer\u00eancia, e o TEF se calcula sobre os macros que voc\u00ea realmente comeu, justamente gra\u00e7as ao seu tracking.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Passo 4<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Adapta\u00e7\u00e3o metab\u00f3lica recalculada<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Em d\u00e9ficit prolongado, o BMR cai. O Lean \u00e9 o primeiro app a modelar esse coeficiente e a aplic\u00e1-lo multiplicativamente ao BMR. Conven\u00e7\u00e3o 100&nbsp;% = ideal, 90&nbsp;% = adapta\u00e7\u00e3o de 10 pontos.<\/p><\/div><\/div>\n\n  <p>Resultado: o balan\u00e7o ao vivo compara o que voc\u00ea come (contado com os 4 m\u00e9todos deste guia) com o que voc\u00ea realmente gasta, recalculado continuamente. \u00c9 a combina\u00e7\u00e3o das duas metades, entradas certas e sa\u00eddas certas, que torna uma perda de gordura previs\u00edvel. Uma sem a outra \u00e9 contabilidade no vazio.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" 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=guide-compter-calories\" 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<\/section>\n\n\n<section aria-labelledby=\"faq\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq\">Perguntas frequentes sobre a contagem de calorias<\/h2>\n  <div class=\"faq\">\n    <details><summary>Quantas calorias por dia para perder peso?<\/summary><div class=\"ans\">N\u00e3o existe nenhum n\u00famero universal: tudo depende do seu gasto total (TDEE), que varia segundo seu metabolismo basal, sua atividade di\u00e1ria, seu esporte e sua composi\u00e7\u00e3o corporal. A regra confi\u00e1vel: um d\u00e9ficit de 300 a 500&nbsp;kcal abaixo do seu TDEE real, nunca um n\u00famero gen\u00e9rico tipo \u00ab1&nbsp;500&nbsp;kcal\u00bb tirado do nada. Voc\u00ea pode estimar o seu com a <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\">calculadora de d\u00e9ficit cal\u00f3rico<\/a>.<\/div><\/details>\n    <details><summary>O scan de foto por IA \u00e9 confi\u00e1vel para contar calorias?<\/summary><div class=\"ans\">Sim, desde que se entenda o que se mede. Em pratos comuns, o erro t\u00edpico \u00e9 de cerca de \u00b110&nbsp;% por refei\u00e7\u00e3o, com uma identifica\u00e7\u00e3o alimento por alimento que voc\u00ea pode corrigir (quantidades, macros, re-scan). Em um m\u00eas, cerca de 90 refei\u00e7\u00f5es, os erros aleat\u00f3rios se compensam pela lei dos grandes n\u00fameros: o que conta \u00e9 o vi\u00e9s m\u00e9dio, n\u00e3o o desvio de uma refei\u00e7\u00e3o isolada.<\/div><\/details>\n    <details><summary>\u00c9 preciso pesar os alimentos para contar calorias?<\/summary><div class=\"ans\">S\u00f3 se voc\u00ea est\u00e1 em uma fase em que cada por cento conta: cutting estrito, recomposi\u00e7\u00e3o avan\u00e7ada, esporte com categoria de peso. Para a grande maioria das pessoas, scan IA de foto e c\u00f3digo de barras bastam de sobra. A ader\u00eancia em 6 meses pesa muito mais no resultado final do que a precis\u00e3o te\u00f3rica de uma pesagem que voc\u00ea vai abandonar.<\/div><\/details>\n    <details><summary>\u00c9 preciso contar calorias todos os dias?<\/summary><div class=\"ans\">\u00c9 a m\u00e9dia semanal que pilota o resultado, n\u00e3o a perfei\u00e7\u00e3o di\u00e1ria. Nos dias cheios, uma adi\u00e7\u00e3o r\u00e1pida de 10 segundos vale infinitamente mais do que um buraco nos dados. Uma refei\u00e7\u00e3o aproximada n\u00e3o quebra nada; uma semana sem nenhum dado, sim, porque ela mascara a tend\u00eancia.<\/div><\/details>\n    <details><summary>Por que n\u00e3o perco peso mesmo contando minhas calorias?<\/summary><div class=\"ans\">Duas causas dominam. Um, a subdeclara\u00e7\u00e3o: at\u00e9 47&nbsp;% de diferen\u00e7a medida entre calorias declaradas \u00e0 m\u00e3o e calorias realmente consumidas (Lichtman, 1992); o scan IA reduz esse vi\u00e9s medindo o prato em vez da sua mem\u00f3ria. Dois, um gasto superestimado: a maioria dos apps calcula seu TDEE com f\u00f3rmulas pelo peso bruto que ignoram sua gordura corporal e a adapta\u00e7\u00e3o metab\u00f3lica. Se as sa\u00eddas est\u00e3o erradas, o d\u00e9ficit mostrado n\u00e3o existe.<\/div><\/details>\n    <details><summary>Contar calorias torna a pessoa obsessiva?<\/summary><div class=\"ans\">O objetivo \u00e9 exatamente o inverso: reduzir o acompanhamento a alguns segundos por refei\u00e7\u00e3o para que ele n\u00e3o ocupe nenhum espa\u00e7o mental, enquanto a contabilidade manual, essa sim, pode se tornar invasiva. Alguns meses de tracking educam seu olho nas por\u00e7\u00f5es; depois voc\u00ea pode aliviar, ou at\u00e9 passar para a adi\u00e7\u00e3o r\u00e1pida. Em caso de transtorno alimentar diagnosticado, converse com um profissional de sa\u00fade antes de registrar.<\/div><\/details>\n    <details><summary>Qual a diferen\u00e7a entre o Lean e o MyFitnessPal para contar calorias?<\/summary><div class=\"ans\">O MyFitnessPal repousa em uma base colaborativa gigante mas uma entrada essencialmente manual, e um TDEE estimado pelo peso bruto. O Lean decomp\u00f5e cada prato por alimento via o scan IA, e sobretudo calcula seu gasto sobre sua gordura corporal real medida por BodyScan, com adapta\u00e7\u00e3o metab\u00f3lica. Contar as entradas s\u00f3 faz sentido se as sa\u00eddas est\u00e3o certas. O detalhe app por app est\u00e1 no nosso <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\">comparativo dos melhores aplicativos de calorias<\/a>.<\/div><\/details>\n  <\/div>\n<\/section>\n\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)\">Bibliografia<\/h3>\n  <ol class=\"src-list\">\n    <li>Burke L.E., Wang J., Sevick M.A. (2011). Self-monitoring in weight loss: a systematic review of the literature. <em>J Am Diet Assoc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21185970\/\" target=\"_blank\" rel=\"noopener\">PubMed 21185970<\/a>.<\/li>\n    <li>Alexander E., Tseng E., Durkin N. et al. (2018). Factors associated with early dropout in an employer-based commercial weight-loss program. <em>Obes Sci Pract<\/em>. <a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC6298204\/\" target=\"_blank\" rel=\"noopener\">PMC6298204<\/a>.<\/li>\n    <li>Lichtman S.W. et al. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. <em>N Engl J Med<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/1454084\/\" target=\"_blank\" rel=\"noopener\">PubMed 1454084<\/a>.<\/li>\n    <li>Martin C.K. et al. (2009). A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. <em>Br J Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18616837\/\" target=\"_blank\" rel=\"noopener\">PubMed 18616837<\/a>.<\/li>\n    <li>USDA FoodData Central. Base de dados nutricional de refer\u00eancia. <a href=\"https:\/\/fdc.nal.usda.gov\/\" target=\"_blank\" rel=\"noopener\">fdc.nal.usda.gov<\/a>.<\/li>\n    <li>Open Food Facts. Base colaborativa mundial dos produtos alimentares embalados. <a href=\"https:\/\/world.openfoodfacts.org\/\" target=\"_blank\" rel=\"noopener\">world.openfoodfacts.org<\/a>.<\/li>\n    <li>Hall K.D. et al. (2011). Quantification of the effect of energy imbalance on bodyweight. <em>Lancet<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21872751\/\" target=\"_blank\" rel=\"noopener\">PubMed 21872751<\/a>.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/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>Guia publicado em 13 de julho de 2025 pela equipe Lean. Atualizado em 11 de junho de 2026: reformula\u00e7\u00e3o completa, novas capturas do scan IA e fontes cient\u00edficas. 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16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE): a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">A outra metade da equa\u00e7\u00e3o: entender seu gasto tijolo por tijolo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Metabolismo basal (BMR): tudo o que \u00e9 preciso saber para calcul\u00e1-lo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Por que sua gordura corporal muda tudo, e por que as f\u00f3rmulas de 1919 erram.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Melhores aplicativos para contar calorias em 2026: 8 apps testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora de d\u00e9ficit cal\u00f3rico: a abordagem certa para o cutting <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9ficit sobre seu TDEE real bodyfat-aware. 3 ritmos: lento\/moderado\/agressivo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: o gasto cal\u00f3rico dos seus treinos <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Por que seu rel\u00f3gio superestima, e como o Lean calcula seus treinos.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TEF: o efeito t\u00e9rmico dos alimentos segundo seus macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">O tijolo de gasto que seu tracking alimenta diretamente.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Scan IA photo, code-barres, base de donn\u00e9es, ajout rapide : la pr\u00e9cision r\u00e9elle de chaque m\u00e9thode pour compter ses calories, et 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