{"id":1641,"date":"2026-05-27T21:55:30","date_gmt":"2026-05-27T21:55:30","guid":{"rendered":"https:\/\/lean-app.com\/?p=1641"},"modified":"2026-09-08T18:17:26","modified_gmt":"2026-09-08T18:17:26","slug":"neat-depense-non-sportive","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/","title":{"rendered":"NEAT (Non-Exercise Activity Thermogenesis)"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --mfp:#A8A192;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  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.phone-stage{position:relative}\n#lvm-shell .tap-hint{position:absolute;z-index:30;pointer-events:none;animation:hintFloat 2.6s ease-in-out infinite}\n#lvm-shell .tap-hint .th-pill{display:inline-block;font-family:var(--font-display);font-size:15px;font-weight:600;color:#fff;line-height:1.25;letter-spacing:-.005em;background:var(--pink);padding:10px 16px;border-radius:14px;box-shadow:0 14px 32px rgba(255,45,110,.32);white-space:nowrap}\n#lvm-shell .tap-hint .th-pill small{display:block;font-size:11px;font-weight:500;color:rgba(255,255,255,.85);text-transform:uppercase;letter-spacing:.08em;margin-bottom:3px}\n#lvm-shell .tap-hint .th-arrow{position:absolute;color:var(--pink)}\n#lvm-shell .tap-hint.desktop{left:-204px;top:4px;text-align:right}\n#lvm-shell .tap-hint.desktop .th-arrow{right:-86px;top:58px;width:104px;height:34px;transform:none}\n#lvm-shell .tap-hint.mobile{display:none}\n#lvm-shell .tap-hint.hidden{opacity:0;transform:translateY(-6px);transition:opacity .35s ease, transform .35s ease;animation:none}\n@keyframes hintFloat{\n  0%, 100%{transform:translateY(0)}\n  50%{transform:translateY(-7px)}\n}\n@media (prefers-reduced-motion:reduce){#lvm-shell .tap-hint{animation:none}}\n#lvm-shell .phone-tabs{display:flex;justify-content:center;gap:8px;margin-top:10px;flex-wrap:nowrap}\n#lvm-shell .phone-tabs button{\n  background:transparent;border:1px solid var(--rule);color:var(--muted);\n  padding:6px 11px;border-radius:999px;font-size:11px;cursor:pointer;\n  font-family:var(--font-text);transition:all .15s;white-space:nowrap;\n}\n#lvm-shell .phone-tabs button:hover{color:var(--ink);border-color:var(--ink)}\n#lvm-shell .phone-tabs button.on{background:var(--ink);color:#fff;border-color:var(--ink)}\n\n#lvm-shell .snippet{background:var(--paper);border-radius:18px;padding:30px 32px;margin:48px 0 0;border:1px solid var(--rule-soft)}\n#lvm-shell .snippet .lbl{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:14px}\n#lvm-shell .snippet p{margin:0;font-family:var(--font-display);font-size:21px;line-height:1.45;color:var(--ink);font-weight:500;letter-spacing:-.012em}\n\n#lvm-shell section{padding:64px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell section:last-of-type{border-bottom:0}\n#lvm-shell .section-label{display:flex;align-items:center;gap:14px;margin-bottom:30px}\n#lvm-shell .section-label .bar{width:24px;height:1px;background:var(--pink)}\n#lvm-shell .section-label .num{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink)}\n#lvm-shell h2{font-family:var(--font-display);font-weight:600;font-size:48px;line-height:1.05;letter-spacing:-.035em;color:var(--ink);margin:0 0 24px}\n#lvm-shell 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.fig-cap strong{color:var(--ink);font-weight:600}\n#lvm-shell .cv-wrap{position:relative;height:360px}\n\n#lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\n#lvm-shell [data-term]:hover{color:var(--ink)}\n#lvm-shell .tt{position:absolute;left:50%;bottom:calc(100% + 12px);transform:translateX(-50%);min-width:200px;max-width:300px;background:#0c0c0c;color:#fff;font-size:13px;line-height:1.45;padding:11px 14px;border-radius:10px;box-shadow:0 12px 36px rgba(0,0,0,.32);opacity:0;visibility:hidden;transition:opacity .15s, visibility .15s;z-index:120;pointer-events:none;font-weight:400;font-family:var(--font-text)}\n#lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\n#lvm-shell [data-term]:hover .tt, #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\n\n#lvm-shell .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\n#lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\n#lvm-shell .table-row:last-child{border-bottom:0}\n#lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\n#lvm-shell .table-row.head > div{padding:18px 18px;display:flex;align-items:center;gap:10px;font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.07em}\n#lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\n#lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\n#lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\n#lvm-shell .table-row > .crit{padding:16px 18px;font-size:14px;color:var(--ink);font-weight:500;display:flex;align-items:center;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell{padding:16px 14px;font-size:13px;line-height:1.45;color:var(--ink-2);display:flex;align-items:center;gap:10px;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell:last-child{border-right:0}\n#lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\n#lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\n#lvm-shell .icn{width:18px;height:18px;border-radius:50%;display:inline-flex;align-items:center;justify-content:center;flex-shrink:0;font-size:13px;font-weight:600;color:#fff}\n#lvm-shell .icn.ok{background:var(--green)}\n#lvm-shell .icn.no{background:var(--red)}\n#lvm-shell .icn.mid{background:var(--amber)}\n#lvm-shell .icn svg{width:11px;height:11px}\n\n#lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\n#lvm-shell .mini-phone{position:relative;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);border-radius:22px;padding:3px;border:1px solid rgba(255,255,255,.05);box-shadow:0 14px 32px rgba(0,0,0,.16);max-width:160px;margin:0 auto;width:100%}\n#lvm-shell .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 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}\n\n\/* Calculator-specific styles, scoped #lvm-shell *\/\n#lvm-shell .calc-board{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n@media(min-width:780px){#lvm-shell .calc-board{grid-template-columns:1fr 1fr;gap:24px}}\n#lvm-shell .calc-inputs{background:#FAF7F2;border-radius:14px;padding:22px;border:1px solid var(--rule-soft)}\n#lvm-shell .calc-inputs h3{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 16px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .calc-row{margin:0 0 14px}\n#lvm-shell .calc-row label{display:block;font-size:13px;color:var(--muted);margin-bottom:6px;font-weight:500}\n#lvm-shell .calc-row input,#lvm-shell .calc-row select{width:100%;padding:11px 13px;border:1px solid var(--rule);border-radius:9px;font-size:16px;background:#fff;color:var(--ink);font-family:var(--font-text);box-sizing:border-box}\n#lvm-shell .calc-row input:focus,#lvm-shell .calc-row select:focus{outline:2px solid var(--pink);outline-offset:1px;border-color:var(--pink)}\n#lvm-shell .calc-sex{display:flex;gap:8px}\n#lvm-shell .calc-sex label{flex:1;display:flex;align-items:center;justify-content:center;gap:6px;padding:11px 8px;background:#fff;border:1px solid var(--rule);border-radius:9px;cursor:pointer;margin:0;font-size:14px;font-weight:500;color:var(--ink)}\n#lvm-shell .calc-sex input{display:none}\n#lvm-shell .calc-sex input:checked + span{color:var(--pink);font-weight:600}\n#lvm-shell .calc-sex label:has(input:checked){border-color:var(--pink);background:var(--pink-soft)}\n#lvm-shell .calc-bf{display:flex;align-items:center;gap:10px}\n#lvm-shell .calc-bf input[type=range]{flex:1;accent-color:var(--pink);height:6px}\n#lvm-shell .calc-bf .bf-val{font-weight:600;color:var(--pink);min-width:42px;font-family:var(--font-mono);font-size:15px}\n#lvm-shell .calc-results{display:grid;grid-template-columns:1fr;gap:12px}\n#lvm-shell .calc-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px}\n#lvm-shell .calc-card.lean{border-left:4px solid var(--pink);background:linear-gradient(90deg,var(--pink-soft),#fff 30%)}\n#lvm-shell .calc-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-card .formula{font-size:13px;color:var(--dim);margin-top:2px}\n#lvm-shell .calc-card .result{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.025em;margin-top:8px;color:var(--ink);line-height:1}\n#lvm-shell .calc-card .result .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-card.lean .result{color:var(--pink)}\n#lvm-shell .calc-delta{margin-top:10px;padding:12px 14px;background:#fff;border:1px dashed var(--pink);border-radius:10px;font-size:14px;color:var(--ink)}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* Comparator cards (3 formulas pros\/cons) *\/\n#lvm-shell .compar-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:24px 0}\n#lvm-shell .compar-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px}\n#lvm-shell .compar-card.lean{border-left:4px solid var(--pink)}\n#lvm-shell .compar-card h4{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .compar-card .year{font-size:12px;color:var(--muted);font-family:var(--font-mono);margin-bottom:14px;letter-spacing:.04em}\n#lvm-shell .compar-card .desc{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 12px}\n#lvm-shell .compar-card .pros,#lvm-shell .compar-card .cons{margin:6px 0;font-size:13px;line-height:1.5}\n#lvm-shell .compar-card .pros{color:var(--green)}\n#lvm-shell .compar-card .cons{color:var(--red)}\n#lvm-shell .compar-card .pros b,#lvm-shell .compar-card .cons b{display:inline-block;width:18px}\n\n\/* Pyramide section *\/\n#lvm-shell .pyramide-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .pyramide-illust img{width:100%;border-radius:18px;box-shadow:0 12px 32px rgba(20,20,40,.12)}\n#lvm-shell .pyramide-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .pyramide-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\u2212\"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* BodyScan illust *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* Body copy paragraphs *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles *\/\nbody.postid-1641 #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-1641 #lvm-shell .wrap,\nbody.postid-1641 #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-1641 #lvm-shell .wrap,\n  body.postid-1641 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1641 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1641 #lvm-shell *{max-width:100%}\nbody.postid-1641 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1641 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1641 #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-1641 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1641 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === CTA BANDS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1641 #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-1641 #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-1641 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1641 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1641 #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-1641 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1641 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1641 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1641 #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-1641 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1641 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === MINI-PHONES === *\/\n@media (max-width:760px){\n  body.postid-1641 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1641 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1641 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1641 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1641 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1641 #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-1641 #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-1641 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1641 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST === *\/\nbody.postid-1641 #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-1641 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\n@media (max-width:760px){\n  body.postid-1641 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1641 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important}\n}\n\n\/* Fix CompressX picture wrappers *\/\n#lvm-shell picture{display:block;max-width:100%}\n#lvm-shell picture img{display:block;max-width:100%;height:auto}\n#lvm-shell .bodyscan-illust .mini-phone{background:transparent;padding:0;border:none;box-shadow:none;border-radius:0}\n#lvm-shell .bodyscan-illust .mini-phone .notch{display:none}\n<\/style>\n\n<div id=\"lvm-shell\" class=\"force-show\">\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/pt\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/pt\/\">In\u00edcio<\/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=pillar-neat\" target=\"_blank\" rel=\"noopener\" aria-label=\"App Store\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\"><\/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=pillar-neat\" target=\"_blank\" rel=\"noopener\" aria-label=\"Google Play\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\"><\/a>\n  <\/div>\n<\/div><\/nav>\n\n<main class=\"wrap\">\n\n<!-- HERO -->\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; NEAT<\/div>\n  <div class=\"eyebrow\">Pilar &middot; Ci\u00eancia do metabolismo<\/div>\n  <h1 id=\"title\">NEAT (Non-Exercise Activity Thermogenesis).\n    <span class=\"alt\">O guia completo para entender e explorar seu gasto cal\u00f3rico oculto.<\/span>\n  <\/h1>\n  <p class=\"dek\">O NEAT pode variar em +700&nbsp;kcal por dia entre duas pessoas do mesmo peso. Todos os apps pedem para marcar uma caixa \u00ab&nbsp;levemente ativo&nbsp;\u00bb. O Lean o calcula em tempo real pelo seu ped\u00f4metro.<\/p>\n  \n<div class=\"tool-jump\" style=\"margin:18px 0 4px;padding:14px 18px;background:#FFF3F7;border:1px solid #FFD6E4;border-left:4px solid #FF2D6E;border-radius:0 10px 10px 0\"><p style=\"margin:0;font-size:15px;line-height:1.55;color:#1a1a2e\"><b>Quer calcular seu NEAT?<\/b> A calculadora converte seus passos reais em kcal\/dia sobre seu perfil medido, sem nenhuma caixa para marcar. <a href=\"https:\/\/lean-app.com\/pt\/calculateur-neat\/\" style=\"color:#FF2D6E;font-weight:600;text-decoration:underline\">Abrir a calculadora NEAT &rarr;<\/a><\/p><\/div>\n<div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>A equipe Lean<\/strong> &middot; Leitura 10&nbsp;min &middot; Atualizado em 27 de maio de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-neat\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;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=pillar-neat\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Download gratuito<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      O NEAT cobre todo o gasto f\u00edsico fora do esporte estruturado: caminhada, tarefas dom\u00e9sticas, gestos, posi\u00e7\u00e3o em p\u00e9, escadas. \u00c9 o componente mais vari\u00e1vel do TDEE, e tamb\u00e9m o mais negligenciado. O Lean o calcula pelo seu ped\u00f4metro, atualizado a cada hora.\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>Demo interativa<\/small>Toque na tela para explorar o app<\/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>Demo 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  <div class=\"snippet rev\">\n    <div class=\"lbl\">Resposta r\u00e1pida<\/div>\n    <p>O NEAT (Non-Exercise Activity Thermogenesis) \u00e9 o gasto cal\u00f3rico ligado \u00e0s atividades f\u00edsicas do dia a dia fora do esporte estruturado. Ele entra na equa\u00e7\u00e3o <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. \u00c9 o componente mais vari\u00e1vel: entre um sedent\u00e1rio e algu\u00e9m que anda 15&nbsp;000 passos por dia, a diferen\u00e7a chega a 700&nbsp;kcal por dia segundo Levine (2005).<\/p>\n  <\/div>\n<\/section>\n\n<!-- 02. DEFINITION -->\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Defini\u00e7\u00e3o<\/span>NEAT, o 2.\u00ba tijolo do TDEE<\/h2>\n<div class=\"body\">\n<p>O <b>NEAT (Non-Exercise Activity Thermogenesis)<\/b> \u00e9 a energia queimada por todas as atividades f\u00edsicas do dia a dia que n\u00e3o s\u00e3o esporte estruturado e n\u00e3o fazem parte do metabolismo basal. Em resumo: andar at\u00e9 o caf\u00e9, gesticular ao falar, lavar a lou\u00e7a, subir escadas, cuidar do jardim, fazer compras, ficar em p\u00e9.<\/p>\n<p>Ele se insere na equa\u00e7\u00e3o fundamental do metabolismo:<\/p>\n<\/div>\n<div class=\"statement\" style=\"margin:28px 0\"><p><b style=\"color:var(--pink);font-variant-numeric:tabular-nums\">TDEE = BMR + NEAT + EAT + TEF<\/b><\/p><\/div>\n<div class=\"body\">\n<p>O <b>BMR<\/b> (Basal Metabolic Rate) \u00e9 o gasto em repouso. O<b>EAT<\/b> (Exercise Activity Thermogenesis) cobre seus treinos. O <b>TEF<\/b> (Thermic Effect of Food) \u00e9 o calor produzido ao digerir. O NEAT, por sua vez, cobre todo o resto, e costuma ser o componente mais f\u00e1cil de aumentar, sem adicionar um \u00fanico treino.<\/p>\n<p>A<b>adapta\u00e7\u00e3o metab\u00f3lica<\/b> vem al\u00e9m como coeficiente multiplicador do BMR em d\u00e9ficit cal\u00f3rico prolongado. Conven\u00e7\u00e3o Lean: 100&nbsp;% = ideal, 90&nbsp;% = 10&nbsp;% de adapta\u00e7\u00e3o. Ela n\u00e3o entra <b>passos<\/b> na soma do TDEE.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Veja tamb\u00e9m: <a href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\">Pilar BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Pilar TDEE<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">Pilar TEF<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/calcul-metabolisme-de-base\/\">Calculadora BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE<\/a>\n<\/div>\n\n<!-- 03. VARIABILITE -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Variabilidade<\/span>+700&nbsp;kcal de diferen\u00e7a entre pessoas do mesmo peso<\/h2>\n<div class=\"body\">\n<p>\u00c9 o dado que mais surpreende: duas pessoas do mesmo peso, mesma idade, mesma morfologia podem ter um NEAT que difere em <b>700&nbsp;kcal por dia<\/b>. N\u00e3o \u00e9 uma estimativa: \u00e9 o n\u00famero medido por James A. Levine em um estudo publicado na <em>Science<\/em> (2005, PMID&nbsp;15681386).<\/p>\n<p>A raz\u00e3o: os comportamentos motores involunt\u00e1rios (fidgeting, gestos, postura) s\u00e3o profundamente individuais. O que \u00e9 consciente \u00e9 seu n\u00edvel de atividade de fundo: se voc\u00ea pega a escada ou o elevador, se fica em p\u00e9 no escrit\u00f3rio, se anda entre duas reuni\u00f5es.<\/p>\n<p>Resultado pr\u00e1tico: se voc\u00ea est\u00e1 em um d\u00e9ficit cal\u00f3rico que estagna, o NEAT \u00e9 a primeira vari\u00e1vel a investigar, antes de aumentar o cardio ou reduzir a ingest\u00e3o.<\/p>\n<\/div>\n<blockquote style=\"border-left:4px solid #FF8C00;margin:32px 0;padding:16px 24px;background:#FFF8F0;border-radius:0 8px 8px 0\">\n  <p style=\"margin:0;font-size:18px;font-weight:700;color:#1D1D1F\">\u00ab&nbsp;O NEAT entre indiv\u00edduos pode variar em mais de 2&nbsp;000&nbsp;kJ\/dia (478&nbsp;kcal\/dia)&nbsp;\u00bb<\/p>\n  <cite style=\"font-size:13px;color:#6E6E73;margin-top:8px;display:block\">Levine JA et al., <em>Science<\/em> 2005, PMID 15681386<\/cite>\n<\/blockquote>\n\n<!-- 04. 3 PROFILS -->\n<h2 class=\"sect\"><span class=\"num\">04 &middot; 3 perfis<\/span>De sedent\u00e1rio a ativo: a diferen\u00e7a em n\u00fameros<\/h2>\n<div class=\"body\">\n<p>Tr\u00eas perfis concretos, calculados para um homem de 80&nbsp;kg, 35 anos, 12&nbsp;% de massa gorda. O BMR \u00e9 id\u00eantico nos tr\u00eas casos. S\u00f3 o NEAT muda.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Sedent\u00e1rio<\/h4>\n    <div class=\"meta\">~3&nbsp;000 passos \/ dia &middot; Escrit\u00f3rio sentado &middot; carro &middot; sof\u00e1<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">230&nbsp;kcal \/ dia<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.2 (sedent\u00e1rio)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (ped\u00f4metro)<\/span><span class=\"v\">Medido em tempo real<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A caixa \u00ab&nbsp;sedent\u00e1rio&nbsp;\u00bb no MyFitnessPal ou no Yazio aplica esse PAL durante <b>o ano inteiro<\/b>, mesmo nos dias em que voc\u00ea anda mais.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>M\u00e9dio<\/h4>\n    <div class=\"meta\">~8&nbsp;000 passos \/ dia &middot; Home office &middot; compras &middot; sa\u00eddas<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">560&nbsp;kcal \/ dia<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.55 (levemente ativo)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (ped\u00f4metro)<\/span><span class=\"v\">Atualizado a cada hora<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">330&nbsp;kcal de diferen\u00e7a vs perfil sedent\u00e1rio. O equivalente a meio treino, sem ir \u00e0 academia.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Ativo<\/h4>\n    <div class=\"meta\">~15&nbsp;000 passos \/ dia &middot; Em p\u00e9 no escrit\u00f3rio &middot; bicicleta &middot; escadas<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">900&nbsp;kcal \/ dia<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.725 (muito ativo)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (ped\u00f4metro)<\/span><span class=\"v\">Medido por passos<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">670&nbsp;kcal de diferen\u00e7a vs sedent\u00e1rio. O equivalente a uma refei\u00e7\u00e3o completa queimada sem esporte adicional.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Por que os apps falham<\/span>PAL est\u00e1tico contra c\u00e1lculo din\u00e2mico<\/h2>\n<div class=\"body\">\n<p>Quando voc\u00ea configura o MyFitnessPal ou o Yazio, perguntam seu \u00ab&nbsp;n\u00edvel de atividade&nbsp;\u00bb. Voc\u00ea marca uma caixa: <em>sedent\u00e1rio<\/em>, <em>levemente ativo<\/em>, <em>moderadamente ativo<\/em>. E essa caixa define um coeficiente PAL (Physical Activity Level) que se aplica ao seu BMR para sempre.<\/p>\n<p>O problema: esse coeficiente n\u00e3o muda na segunda em que voc\u00ea faz 15&nbsp;000 passos versus o domingo em que n\u00e3o sai do sof\u00e1. Se voc\u00ea marcou \u00ab&nbsp;levemente ativo&nbsp;\u00bb (PAL 1.375), tem 1.375 para sempre, n\u00e3o importa o que fa\u00e7a de verdade.<\/p>\n<p>Johannsen &amp; Ravussin (2008, PMID&nbsp;18769211) mediram que os erros de estimativa do NEAT via PAL est\u00e1tico podem chegar a <b>300 a 500&nbsp;kcal por dia<\/b>. \u00c9 a ordem de grandeza que explica um d\u00e9ficit que \u00ab&nbsp;n\u00e3o funciona&nbsp;\u00bb ou um ganho de peso inexplic\u00e1vel tendo \u00ab&nbsp;comido bem&nbsp;\u00bb.<\/p>\n<\/div>\n\n<!-- 06. MFP VS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">06 &middot; MFP vs Lean<\/span>189&nbsp;kcal vs 705&nbsp;kcal para 20&nbsp;000 passos<\/h2>\n<div class=\"body\">\n<p>Um exemplo concreto: 20&nbsp;000 passos no dia para um homem de 80&nbsp;kg, 12&nbsp;% de gordura corporal.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>MyFitnessPal<\/h4>\n    <div class=\"meta\">C\u00e1lculo PAL est\u00e1tico sobre peso total<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/calcul-imprecis-calories-myfitnesspal.png\" alt=\"Calcul MFP : 189 kcal pour 20 000 pas\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>20&nbsp;000 passos<\/span><span class=\"v\" style=\"color:#FF2D6E\">189&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M\u00e9todo<\/span><span class=\"v\">Passos &times; constante fixa<\/span><\/div>\n      <div class=\"rw\"><span>BMR levado em conta<\/span><span class=\"v\">N\u00e3o<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A maioria dos apps simplesmente multiplica o n\u00famero de passos por uma constante gen\u00e9rica. O resultado \u00e9 sistematicamente subestimado porque seu BMR real n\u00e3o entra no c\u00e1lculo.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">C\u00e1lculo din\u00e2mico indexado ao seu BMR real<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-journaliere-neat-pas-lean-app.png\" alt=\"Calcul Lean : 705 kcal pour 20 000 pas\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>20&nbsp;000 passos<\/span><span class=\"v\" style=\"color:#27AE60\">705&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M\u00e9todo<\/span><span class=\"v\">Passos &times; f(BMR, massa magra)<\/span><\/div>\n      <div class=\"rw lean\"><span>BMR levado em conta<\/span><span class=\"v\">Sim, via BodyScan IA<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">O Lean calibra o custo energ\u00e9tico de cada passo sobre seu perfil metab\u00f3lico completo. O mesmo n\u00famero de passos n\u00e3o custa as mesmas calorias segundo sua composi\u00e7\u00e3o corporal.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">O Lean calcula seu NEAT em tempo real, indexado ao seu BMR real. Download gratuito, teste de 7 dias no plano anual.<\/div>\n  <div class=\"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=pillar-neat-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" height=\"42\" loading=\"lazy\"><\/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=pillar-neat-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" height=\"42\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<!-- 07. BMR CHANGE TOUT POUR LE NEAT -->\n<h2 class=\"sect\"><span class=\"num\">07 &middot; BMR &amp; NEAT<\/span>Por que seu BMR muda o valor de cada passo<\/h2>\n<div class=\"body\">\n<p>\u00c9 o argumento que a maioria dos artigos sobre o NEAT omite. O custo cal\u00f3rico de um passo n\u00e3o \u00e9 uma constante: ele depende da sua <b>massa magra real<\/b>, portanto do seu BMR.<\/p>\n<p>A raz\u00e3o fisiol\u00f3gica: o gasto no esfor\u00e7o \u00e9 proporcional \u00e0 massa metabolicamente ativa (m\u00fasculos, \u00f3rg\u00e3os), n\u00e3o ao peso total. Dois indiv\u00edduos de 80&nbsp;kg com 12&nbsp;% e 22&nbsp;% de gordura corporal t\u00eam respectivamente 70,4&nbsp;kg e 62,4&nbsp;kg de massa magra. Seu custo energ\u00e9tico para o mesmo n\u00famero de passos difere em quase 12&nbsp;%. Aplicado a 10&nbsp;000 passos por dia, a diferen\u00e7a chega a v\u00e1rias dezenas de quilocalorias, ou seja, centenas de quilocalorias por semana.<\/p>\n<p>Concretamente: se seu c\u00e1lculo de NEAT n\u00e3o est\u00e1 indexado ao seu BMR real, voc\u00ea pode estar em super\u00e1vit cal\u00f3rico achando que est\u00e1 em d\u00e9ficit, ou o inverso. \u00c9 exatamente a mec\u00e2nica que explica os plat\u00f4s inexplic\u00e1veis no cutting.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">O Lean calcula seu NEAT sobre sua massa magra real<\/div><p class=\"fd\">Gra\u00e7as ao BodyScan IA, o Lean conhece sua gordura corporal. Ele deduz sua massa magra, calcula seu BMR pelo seu modelo propriet\u00e1rio patenteado e calibra o custo de cada passo sobre esse perfil \u00fanico.<\/p><\/div><div class=\"fc\">Ultrapersonalizado<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">O NEAT se recalibra a cada atualiza\u00e7\u00e3o do perfil<\/div><p class=\"fd\">Voc\u00ea perde 3&nbsp;kg de gordura em um m\u00eas? Seu BMR muda, e o custo de cada passo \u00e9 recalculado automaticamente no Lean. Os outros apps mant\u00eam a constante definida no cadastro.<\/p><\/div><div class=\"fc\">Din\u00e2mico<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Duas pessoas, mesma caminhada, gasto diferente<\/div><p class=\"fd\">Algu\u00e9m com um BMR de 1&nbsp;900&nbsp;kcal e algu\u00e9m com um BMR de 1&nbsp;500&nbsp;kcal n\u00e3o queimam as mesmas calorias andando 10&nbsp;000 passos. Aplicar a mesma constante gen\u00e9rica aos dois \u00e9 um erro estrutural.<\/p><\/div><div class=\"fc\">Fisio<\/div><\/div>\n<div class=\"body\">\n<p>\u00c9 a diferen\u00e7a entre um c\u00e1lculo de NEAT gen\u00e9rico e um c\u00e1lculo de NEAT personalizado. O Lean \u00e9 o \u00fanico app que implementa essa arquitetura completa: BMR consciente da gordura corporal, NEAT indexado a esse BMR, TDEE din\u00e2mico na quilocaloria.<\/p>\n<\/div>\n\n<!-- 08. APPAREILS CONNECTES -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; Dispositivos conectados<\/span>Por que seu rel\u00f3gio superestima sistematicamente seu NEAT<\/h2>\n<div class=\"body\">\n<p>Apple Watch, Garmin, Fitbit e as esteiras conectadas t\u00eam um ponto em comum: n\u00e3o conhecem seu BMR. Seu algoritmo de c\u00e1lculo de gasto se apoia em uma constante gen\u00e9rica multiplicada pelo seu peso total, sem levar em conta sua composi\u00e7\u00e3o corporal.<\/p>\n<p>Resultado: uma superestimativa sistem\u00e1tica de <b>+30&nbsp;% a +100&nbsp;%<\/b> no gasto ligado \u00e0 caminhada. Em um dia de 10&nbsp;000 passos, um Apple Watch pode mostrar 700&nbsp;kcal onde o valor real est\u00e1 mais perto de 350&nbsp;kcal para esse mesmo perfil.<\/p>\n<\/div>\n<blockquote style=\"border-left:4px solid #FF2D6E;margin:32px 0;padding:16px 24px;background:#FFF0F5;border-radius:0 8px 8px 0\">\n  <p style=\"margin:0;font-size:16px;font-weight:700;color:#1D1D1F\">Exemplo concreto: d\u00e9ficit cal\u00f3rico de &minus;100&nbsp;kcal\/dia como meta<\/p>\n  <p style=\"margin:8px 0 0;font-size:14px;color:#3D3D3F\">Seu rel\u00f3gio mostra 700&nbsp;kcal por 1 h de caminhada (10&nbsp;000 passos). Valor real: ~350&nbsp;kcal. Superestimativa: +350&nbsp;kcal\/dia. Balan\u00e7o da semana: +350&times;7 &minus; 700 = <b>+1&nbsp;750&nbsp;kcal. Voc\u00ea estava em super\u00e1vit.<\/b><\/p>\n<\/blockquote>\n<div class=\"body\">\n<p>Esse erro pode arruinar completamente um d\u00e9ficit cal\u00f3rico. O Lean integra os dados do seu rel\u00f3gio via Apple Sa\u00fade ou Health Connect, mas os <b>recalibra sobre seu BMR real<\/b>. Voc\u00ea aproveita a precis\u00e3o do sensor do seu rel\u00f3gio sem absorver seu vi\u00e9s sistem\u00e1tico de c\u00e1lculo.<\/p>\n<p>Veja tamb\u00e9m: <a href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\" style=\"color:var(--pink)\">Pilar BMR: por que a gordura corporal muda tudo no seu metabolismo basal<\/a>.<\/p>\n<\/div>\n\n<!-- 09. BODYSCAN IA -->\n<h2 class=\"sect\"><span class=\"num\">09 &middot; BodyScan IA<\/span>A gordura corporal real: a funda\u00e7\u00e3o do c\u00e1lculo de NEAT do Lean<\/h2>\n<div class=\"body\">\n<p>Para que o NEAT seja calculado sobre seu BMR real, primeiro \u00e9 preciso conhecer seu BMR real. E para isso, \u00e9 preciso sua gordura corporal, n\u00e3o s\u00f3 seu peso. \u00c9 aqui que entra o BodyScan IA do Lean.<\/p>\n<p>A maioria dos apps calcula o BMR em fun\u00e7\u00e3o do peso total (Harris-Benedict 1919, Mifflin-St Jeor 1990). O Lean calcula seu BMR sobre sua <b>massa magra estimada via gordura corporal<\/b>, gra\u00e7as a um <b>modelo propriet\u00e1rio patenteado<\/b>. Dois indiv\u00edduos de 80&nbsp;kg com 12&nbsp;% e 22&nbsp;% de gordura corporal t\u00eam um BMR que difere em 200&nbsp;kcal por dia. Se voc\u00ea erra no BMR, seu NEAT (e todo o TDEE) est\u00e1 errado desde a funda\u00e7\u00e3o.<\/p>\n<\/div>\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/resultat-bodyfat-ia-homme-lean-app-1-514x1024.png\" alt=\"R&eacute;sultat BodyScan IA Lean : bodyfat 11&nbsp;%\" width=\"514\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>BodyScan IA<\/b> : gordura corporal real em 5 segundos, a partir de uma foto<\/p>\n<\/div>\n<div class=\"body\">\n<p>Uma foto, 5 segundos, e o Lean conhece sua gordura corporal com precis\u00e3o. Esse n\u00famero alimenta diretamente o c\u00e1lculo do seu BMR pelo modelo propriet\u00e1rio patenteado Lean, que por sua vez serve de base ao c\u00e1lculo do seu NEAT. \u00c9 a arquitetura em cadeia que os outros apps n\u00e3o oferecem.<\/p>\n<\/div>\n\n<!-- 10. COMMENT LEAN CALCULE -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Lean &amp; NEAT<\/span>C\u00e1lculo em tempo real pelo ped\u00f4metro<\/h2>\n<div class=\"body\">\n<p>O Lean calcula seu NEAT a partir do seu ped\u00f4metro (Apple Sa\u00fade no iOS, Health Connect no Android) e o indexa ao seu perfil metab\u00f3lico completo. Cada passo \u00e9 contabilizado e convertido em energia segundo sua composi\u00e7\u00e3o corporal real.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Ped\u00f4metro cont\u00ednuo em segundo plano<\/div><p class=\"fd\">O Lean l\u00ea seus passos via Apple Sa\u00fade (iOS) ou Health Connect (Android) em segundo plano. N\u00e3o precisa abrir o app para que seus passos sejam contados.<\/p><\/div><div class=\"fc\">Sensor<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT atualizado a cada hora<\/div><p class=\"fd\">Seu NEAT no Lean muda ao longo do dia. Ao meio-dia, voc\u00ea v\u00ea seu gasto NEAT real da manh\u00e3, indexado ao seu BMR do momento.<\/p><\/div><div class=\"fc\">Tempo real<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Adi\u00e7\u00e3o manual de passos<\/div><p class=\"fd\">Andou sem o smartphone? Voc\u00ea pode adicionar (ou retirar) passos manualmente na se\u00e7\u00e3o NEAT do Lean pelo bot\u00e3o \u00ab&nbsp;+&nbsp;\u00bb. Eles s\u00e3o imediatamente integrados ao seu balan\u00e7o cal\u00f3rico.<\/p><div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/ajouter-manuellement-pas-lean-app.png\" alt=\"Interface pour ajouter ou retirer manuellement des pas dans l&rsquo;application Lean\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div><\/div><div class=\"fc\">Flexibilidade<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Apple Watch, Garmin, Fitbit<\/div><p class=\"fd\">Se seu rel\u00f3gio est\u00e1 sincronizado com o Apple Sa\u00fade (iOS) ou o Health Connect (Android), o Lean usa seus dados de passos (mais precisos do que s\u00f3 o smartphone), recalibrando o gasto sobre seu BMR real.<\/p><\/div><div class=\"fc\">Integra\u00e7\u00e3o<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Objetivo cal\u00f3rico adaptativo<\/div><p class=\"fd\">O Lean ajusta seu objetivo di\u00e1rio segundo seu NEAT real. Se voc\u00ea andou 12&nbsp;000 passos de manh\u00e3, seu objetivo cal\u00f3rico da noite leva em conta esse gasto adicional.<\/p><\/div><div class=\"fc\">Balan\u00e7o ao vivo<\/div><\/div>\n\n<!-- 11. TUTORIELS : ACTIVER LE PODOMETRE -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Tutoriais<\/span>Ativar o ped\u00f4metro no Lean<\/h2>\n<div class=\"body\">\n<p>Antes de tudo, o Lean precisa acessar seus dados de passos. O caminho \u00e9 diferente segundo seu smartphone. Tutoriais oficiais Lean: <a href=\"https:\/\/www.youtube.com\/shorts\/7-9Gk_3PTew\" target=\"_blank\" rel=\"noopener\">iPhone<\/a> u00b7 <a href=\"https:\/\/www.youtube.com\/shorts\/USDxamjIfIE\" target=\"_blank\" rel=\"noopener\">Android<\/a>.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">iPhone: ativar o acesso aos passos no Lean<\/div><p class=\"fd\">Abra os <b>Ajustes<\/b> do seu iPhone. Na barra de busca no topo, digite \u00ab&nbsp;sa\u00fade&nbsp;\u00bb ou \u00ab&nbsp;health&nbsp;\u00bb. Toque em <b>Acesso a dados e dispositivos<\/b>, depois em <b>Lean<\/b> na lista. Verifique que <b>N\u00famero de passos<\/b> est\u00e1 marcado.<\/p><\/div><div class=\"fc\">iOS<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Android: conectar o Health Connect e o app fitness da sua marca<\/div><p class=\"fd\"><b>1. Baixe o Health Connect<\/b> na Play Store, abra-o e v\u00e1 em <b>Permiss\u00f5es dos apps &gt; Lean<\/b> e marque <b>Passos<\/b>. <b>2. Baixe o app fitness da sua marca<\/b> : Google Fit (Google), Samsung Health (Samsung), Huawei Health (Huawei), Lifelog (Sony) ou o app de sa\u00fade da sua marca. Nesse app, verifique que o monitoramento de passos est\u00e1 ativado. <b>3. No Health Connect<\/b>, autorize esse app fitness a compartilhar \u00ab&nbsp;Passos&nbsp;\u00bb em leitura e escrita. <b>Verifica\u00e7\u00e3o<\/b> : Health Connect &gt; Dados e acesso &gt; Atividade &gt; Passos &gt; Ver todas as entradas: dados devem aparecer (ande alguns passos se estiver vazio).<\/p><\/div><div class=\"fc\">Android<\/div><\/div>\n<div class=\"micro-cta\" style=\"margin-top:24px\">\n  Recursos: <a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\">Calculadora de d\u00e9ficit cal\u00f3rico<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE completa<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/metabolisme-de-base\/\">Pilar BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Pilar TDEE<\/a>\n<\/div>\n\n<!-- 12. MET : MARCHE = NEAT PAS EAT -->\n<h2 class=\"sect\"><span class=\"num\">12 &middot; MET &amp; classifica\u00e7\u00e3o<\/span>Por que a caminhada \u00e9 classificada como NEAT e n\u00e3o EAT<\/h2>\n<div class=\"body\">\n<p>A pergunta volta com frequ\u00eancia: caminhar \u00e9 NEAT ou EAT? A resposta se baseia nos MET (Metabolic Equivalent of Task), a unidade usada na literatura cient\u00edfica para classificar as atividades f\u00edsicas.<\/p>\n<p>1 MET = a energia gasta em repouso sentado. A fronteira NEAT\/EAT est\u00e1 fixada em <b>MET&nbsp;=&nbsp;3<\/b> : abaixo, \u00e9 NEAT; acima, \u00e9 EAT.<\/p>\n<p>A caminhada fica na fronteira: uma caminhada lenta (&lt;&nbsp;4&nbsp;km\/h) est\u00e1 em MET&nbsp;&asymp;&nbsp;2,5-3; uma caminhada r\u00e1pida (&gt;&nbsp;6&nbsp;km\/h) sobe a MET&nbsp;4-5. Na literatura cient\u00edfica, a caminhada em ritmo normal \u00e9 majoritariamente classificada como NEAT. O Lean segue essa conven\u00e7\u00e3o.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Atividades NEAT (MET &lt; 3)<\/h4>\n    <div class=\"meta\">Gasto di\u00e1rio estimado para 8&nbsp;000 passos\/dia<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Caminhada leve<\/span><span class=\"v\">350&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Posi\u00e7\u00e3o em p\u00e9<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Lou\u00e7a, faxina<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Outros micromovimentos<\/span><span class=\"v\">60&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Total NEAT<\/span><span class=\"v\">~440&nbsp;kcal \/ dia<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A caminhada representa cerca de 80&nbsp;% do NEAT total para um indiv\u00edduo padr\u00e3o. \u00c9 por isso que o Lean baseia principalmente sua medi\u00e7\u00e3o de NEAT no n\u00famero de passos.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Atividades EAT (MET &gt; 3)<\/h4>\n    <div class=\"meta\">Exemplos de esporte estruturado claramente acima do limiar<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Corrida (8&nbsp;km\/h)<\/span><span class=\"v\">MET 8<\/span><\/div>\n      <div class=\"rw\"><span>Bicicleta (moderada)<\/span><span class=\"v\">MET 6<\/span><\/div>\n      <div class=\"rw\"><span>Muscula\u00e7\u00e3o (esfor\u00e7o mod.)<\/span><span class=\"v\">MET 4-5<\/span><\/div>\n      <div class=\"rw lean\"><span>Contabilizado no Lean<\/span><span class=\"v\">Aba EAT<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Se voc\u00ea pratica corrida e seu ped\u00f4metro est\u00e1 ativo, escolha no Lean os exerc\u00edcios \u00ab&nbsp;NEAT inclu\u00eddo&nbsp;\u00bb para evitar contar seus passos duas vezes.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. STRATEGIES NEAT -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Estrat\u00e9gias NEAT<\/span>Ando mais, como mais<\/h2>\n<div class=\"body\">\n<p>O princ\u00edpio fundamental do NEAT: cada passo adicional aumenta seu gasto, o que aumenta seu objetivo cal\u00f3rico. <b>Ando mais = como mais.<\/b> \u00c9 a troca justa que os esportistas em cutting entendem r\u00e1pido: em vez de reduzir a ingest\u00e3o, aumente primeiro o gasto.<\/p>\n<p>A vantagem do NEAT sobre o EAT: sem recupera\u00e7\u00e3o necess\u00e1ria, sem risco de les\u00e3o, sem estresse hormonal do cardio intensivo. Estas s\u00e3o as alavancas mais eficazes.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+2&nbsp;000 passos = +70&nbsp;kcal (o m\u00ednimo \u00fatil)<\/div><p class=\"fd\">Integre 2 blocos de caminhada de 10 minutos no seu dia. De manh\u00e3 entre duas tarefas, \u00e0 tarde antes da pr\u00f3xima reuni\u00e3o. 20 minutos, +2&nbsp;000 passos, +70&nbsp;kcal sem mexer no seu programa de esporte.<\/p><\/div><div class=\"fc\">Di\u00e1rio<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Mesa em p\u00e9 3 h\/dia (+100 a 200&nbsp;kcal)<\/div><p class=\"fd\">Ficar em p\u00e9 3 horas em vez de sentado queima ~150&nbsp;kcal adicionais. Alternar sentado\/em p\u00e9 a cada 30 minutos \u00e9 mais eficaz do que um \u00fanico bloco em p\u00e9.<\/p><\/div><div class=\"fc\">Escrit\u00f3rio<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Bicicleta casa-trabalho (+300 a 500&nbsp;kcal\/dia)<\/div><p class=\"fd\">Um trajeto de bicicleta de 20 minutos ida e volta em ritmo moderado conta como NEAT se o esfor\u00e7o fica abaixo de MET&nbsp;3. Acima (bicicleta esportiva, frequ\u00eancia card\u00edaca alta), \u00e9 EAT: a registrar separadamente no Lean.<\/p><\/div><div class=\"fc\">Transporte<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Escadas sistematicamente (+50 a 100&nbsp;kcal\/dia)<\/div><p class=\"fd\">Subir 10 andares queima ~8&nbsp;kcal. 4 trajetos\/dia em um pr\u00e9dio de 5 andares = 32&nbsp;kcal. Em 22 dias \u00fateis = 700&nbsp;kcal no m\u00eas, sem um \u00fanico treino adicional.<\/p><\/div><div class=\"fc\">Pr\u00e9dio<\/div><\/div>\n<div class=\"body\">\n<p>Aten\u00e7\u00e3o ao efeito de compensa\u00e7\u00e3o (Pontzer et al., 2021, PMID&nbsp;34385400): se voc\u00ea aumenta seu NEAT r\u00e1pido demais, seu corpo pode reduzir parcialmente outros gastos espont\u00e2neos. O aumento real costuma ser de 60 a 70&nbsp;% do gasto te\u00f3rico. O Lean modela esse efeito no seu c\u00e1lculo de TDEE adaptado.<\/p>\n<\/div>\n\n<!-- 14. NEAT LIVE DANS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">14 &middot; NEAT ao vivo<\/span>O acompanhamento passo a passo no Lean<\/h2>\n<div class=\"body\">\n<p>A aba Gasto do Lean detalha em tempo real cada componente do TDEE: BMR, NEAT, EAT, TEF. O NEAT mostrado corresponde aos seus passos reais do dia, convertidos em quilocalorias sobre seu perfil metab\u00f3lico completo.<\/p>\n<\/div>\n<div style=\"max-width:130px;margin:24px auto\">\n  <div class=\"mini-phone\" style=\"max-width:130px\"><div class=\"notch\"><\/div><div class=\"scr\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"NEAT et pas dans Lean\" loading=\"lazy\"><\/div><\/div>\n<\/div>\n<div class=\"mini-cap\"><strong>Lean<\/strong> &middot; NEAT em tempo real, indexado ao seu BMR real<\/div>\n\n<!-- 15. STRATEGIES PAR OBJECTIF -->\n<h2 class=\"sect\"><span class=\"num\">15 &middot; Objetivos<\/span>NEAT e estrat\u00e9gia segundo cutting, bulk ou recomposi\u00e7\u00e3o<\/h2>\n<p>Uma vez conhecido seu NEAT preciso, a aplica\u00e7\u00e3o pr\u00e1tica \u00e9 direta. Tr\u00eas objetivos, tr\u00eas alavancas.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Cutting (perda de gordura)<\/h4>\n    <div class=\"meta\">Objetivo: maximizar o NEAT sem supercompensa\u00e7\u00e3o<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Alavanca NEAT<\/span><span class=\"v\">+3&nbsp;000 passos \/ dia<\/span><\/div>\n      <div class=\"rw\"><span>Vantagem<\/span><span class=\"v\">Sem estresse hormonal do cardio<\/span><\/div>\n      <div class=\"rw lean\"><span>O Lean calcula<\/span><span class=\"v\">Impacto exato no d\u00e9ficit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Maximizar o NEAT \u00e9 a estrat\u00e9gia rainha no cutting. Ferramenta: <a href=\"https:\/\/lean-app.com\/pt\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">calculadora de d\u00e9ficit cal\u00f3rico<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Bulk (ganho de m\u00fasculo)<\/h4>\n    <div class=\"meta\">Objetivo: super\u00e1vit controlado, m\u00ednimo de ganho de gordura<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Alavanca NEAT<\/span><span class=\"v\">Moderado (n\u00e3o erodir o super\u00e1vit)<\/span><\/div>\n      <div class=\"rw\"><span>Risco<\/span><span class=\"v\">NEAT alto demais reduz o super\u00e1vit l\u00edquido<\/span><\/div>\n      <div class=\"rw lean\"><span>O Lean mostra<\/span><span class=\"v\">Super\u00e1vit l\u00edquido ap\u00f3s NEAT real<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">No bulk, o Lean mostra o super\u00e1vit real em tempo real para ajustar a ingest\u00e3o com precis\u00e3o.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomposi\u00e7\u00e3o (manuten\u00e7\u00e3o + constru\u00e7\u00e3o)<\/h4>\n    <div class=\"meta\">Objetivo: precis\u00e3o m\u00e1xima em ingest\u00e3o e gasto<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Alavanca NEAT<\/span><span class=\"v\">Ferramenta de precis\u00e3o na kcal<\/span><\/div>\n      <div class=\"rw\"><span>Vantagem<\/span><span class=\"v\">Equil\u00edbrio sem aproxima\u00e7\u00e3o<\/span><\/div>\n      <div class=\"rw lean\"><span>O Lean calcula<\/span><span class=\"v\">Balan\u00e7o cal\u00f3rico ao vivo<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">A recomposi\u00e7\u00e3o exige precis\u00e3o m\u00e1xima. Um NEAT calibrado sobre seu BMR real \u00e9 uma vantagem decisiva.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 16. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; A Pir\u00e2mide<\/span>Pir\u00e2mide de Progress\u00e3o Lean<\/h2>\n<div class=\"body\">\n<p>A Pir\u00e2mide de Progress\u00e3o Lean hierarquiza as prioridades para atingir seu objetivo corporal. O NEAT ocupa o 3.\u00ba degrau, depois da ader\u00eancia alimentar e do objetivo cal\u00f3rico preciso.<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Pir\u00e2mide de Progress\u00e3o Lean\">\n  <div class=\"level l1\"><span>Ader\u00eancia<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Objetivo cal\u00f3rico (TDEE preciso)<\/span><span class=\"k\">N\u00edvel 2<\/span><\/div>\n  <div class=\"level l3\"><span>Passos \/ NEAT di\u00e1rio<\/span><span class=\"k\">N\u00edvel 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutrientes<\/span><span class=\"k\">Topo<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">N\u00e3o queimar etapas. Um TDEE preciso sobre gordura corporal real \u00e9 o n\u00edvel 2. Mas se voc\u00ea n\u00e3o registra seu NEAT regularmente, os macros n\u00e3o mudam nada.<\/div>\n\n<!-- 17. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">17 &middot; FAQ<\/span>Tudo o que voc\u00ea se pergunta sobre o NEAT<\/h2>\n\n<details class=\"faq\"><summary>Qual \u00e9 a diferen\u00e7a entre NEAT e EAT?<\/summary><div class=\"faq-body\"><p>A<b>EAT (Exercise Activity Thermogenesis)<\/b> cobre seus treinos estruturados (muscula\u00e7\u00e3o, corrida, bicicleta). O <b>NEAT<\/b> cobre todo o resto das atividades do dia a dia: caminhada, faxina, gestos, escadas. A fronteira est\u00e1 em MET&nbsp;=&nbsp;3: abaixo \u00e9 NEAT, acima \u00e9 EAT. Os dois s\u00e3o calculados separadamente na equa\u00e7\u00e3o TDEE = BMR + NEAT + EAT + TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Por que meu Apple Watch superestima minhas calorias?<\/summary><div class=\"faq-body\"><p>O Apple Watch calcula seu gasto na caminhada sem acesso ao seu BMR real. Ele aplica uma constante gen\u00e9rica multiplicada pelo seu peso, sem levar em conta sua composi\u00e7\u00e3o corporal. Resultado: uma superestimativa de +30 a +100&nbsp;% segundo o perfil. O Lean recalibra os dados do seu rel\u00f3gio sobre seu BMR consciente da gordura corporal para eliminar esse vi\u00e9s.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Como o NEAT afeta meu d\u00e9ficit cal\u00f3rico?<\/summary><div class=\"faq-body\"><p>Diretamente: d\u00e9ficit real = ingest\u00e3o &minus; (BMR + NEAT + EAT + TEF). Se seu NEAT aumenta em 300&nbsp;kcal nesse dia, seu TDEE aumenta em 300&nbsp;kcal e seu d\u00e9ficit se aprofunda. No Lean, o objetivo cal\u00f3rico di\u00e1rio se ajusta em tempo real \u00e0 medida que seu NEAT progride durante o dia.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>O NEAT diminui em d\u00e9ficit cal\u00f3rico?<\/summary><div class=\"faq-body\"><p>Sim, \u00e9 a adapta\u00e7\u00e3o metab\u00f3lica. Em d\u00e9ficit prolongado, o corpo reduz involuntariamente o NEAT (menos gestos, menos motiva\u00e7\u00e3o para se mexer). Rosenbaum et al. (2010) mediram uma redu\u00e7\u00e3o que pode chegar a 150&nbsp;kcal\/dia em d\u00e9ficit severo. O Lean modela a adapta\u00e7\u00e3o metab\u00f3lica separadamente, como coeficiente multiplicador do BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Quantos passos por dia para um NEAT ideal no cutting?<\/summary><div class=\"faq-body\"><p>Os dados de Levine e Healy apontam para 8&nbsp;000 a 12&nbsp;000 passos\/dia como zona de NEAT elevado sem supercompensa\u00e7\u00e3o. Na pr\u00e1tica, mire um objetivo que voc\u00ea consiga manter 6 dias em 7. Uma base de 10&nbsp;000 passos \u00e9 um primeiro objetivo claro e alcan\u00e7\u00e1vel. O Lean mostra a m\u00e9dia semanal do seu NEAT para te ajudar a calibrar esse objetivo.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Posso comer mais se andar mais?<\/summary><div class=\"faq-body\"><p>Sim, \u00e9 o princ\u00edpio central. Cada passo adicional aumenta seu TDEE, o que aumenta o objetivo cal\u00f3rico calculado pelo Lean. A f\u00f3rmula: <b>ando mais = como mais<\/b>, mantendo-se no seu objetivo. No cutting, costuma ser prefer\u00edvel a reduzir a ingest\u00e3o, porque limita a frustra\u00e7\u00e3o alimentar.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Qual sensor o Lean usa para o NEAT?<\/summary><div class=\"faq-body\"><p>O Lean l\u00ea os passos a partir do <b>Apple Sa\u00fade<\/b> (iOS) ou do <b>Health Connect<\/b> (Android, o servi\u00e7o que substitui o Google Fit desde 2024). O aceler\u00f4metro do seu smartphone ou do seu rel\u00f3gio conectado (Apple Watch, Garmin, Fitbit, Samsung Galaxy Watch) alimenta essas plataformas. Se seu rel\u00f3gio est\u00e1 sincronizado, o Lean usa seus dados recalibrando o gasto sobre seu BMR real, n\u00e3o sobre a constante interna do rel\u00f3gio.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>O que \u00e9 o fidgeting e como ele afeta o NEAT?<\/summary><div class=\"faq-body\"><p>O <em>fidgeting<\/em> designa os micromovimentos involunt\u00e1rios (balan\u00e7ar, gesticular, tamborilar os dedos). Levine (2005) mostrou que indiv\u00edduos muito \u00ab&nbsp;inquietos&nbsp;\u00bb queimam at\u00e9 350&nbsp;kcal a mais por dia com atividade id\u00eantica. Esse comportamento \u00e9 em grande parte inconsciente, da\u00ed a import\u00e2ncia de um NEAT medido pelo ped\u00f4metro em vez de estimado por um PAL est\u00e1tico.<\/p><\/div><\/details>\n\n<!-- 18. SOURCES -->\n<div class=\"sources\">\n  <h4>Fontes cient\u00edficas<\/h4>\n  <ol>\n    <li>Levine JA, Lanningham-Foster LM, McCrady SK, et al. Interindividual variation in posture allocation: possible role in human obesity. <em>Science<\/em>. 2005;307(5709):584-586. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15681386\/\" target=\"_blank\" rel=\"noopener\">PubMed 15681386<\/a><\/li>\n    <li>Healy GN, Dunstan DW, Salmon J, et al. Breaks in sedentary time: beneficial associations with metabolic risk. <em>Diabetes Care<\/em>. 2008;31(4):661-666. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18252901\/\" target=\"_blank\" rel=\"noopener\">PubMed 18252901<\/a><\/li>\n    <li>Johannsen DL, Ravussin E. Spontaneous physical activity: relationship to diet, obesity, and time spent in the physical activity. <em>Curr Opin Endocrinol Diabetes Obes<\/em>. 2008. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18769211\/\" target=\"_blank\" rel=\"noopener\">PubMed 18769211<\/a><\/li>\n    <li>Pontzer H, Yamada Y, Sagayama H, et al. Daily energy expenditure through the human life course. <em>Science<\/em>. 2021;373(6556):808-812. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34385400\/\" target=\"_blank\" rel=\"noopener\">PubMed 34385400<\/a><\/li>\n    <li>Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. <em>Int J Obes<\/em>. 2010;34 Suppl 1:S47-55. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20935667\/\" target=\"_blank\" rel=\"noopener\">PubMed 20935667<\/a><\/li>\n    <li>Tudor-Locke C, Craig CL, Brown WJ, et al. How many steps\/day are enough? For adults. <em>Int J Behav Nutr Phys Act<\/em>. 2011;8:79. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21798015\/\" target=\"_blank\" rel=\"noopener\">PubMed 21798015<\/a><\/li>\n  <\/ol>\n<\/div>\n\n<!-- GET-BAND -->\n<div class=\"get-band\">\n  <h3>Calcule seu NEAT sobre sua gordura corporal real<\/h3>\n  <p>Ped\u00f4metro integrado. NEAT recalculado a cada hora, indexado ao seu BMR real. Modelo propriet\u00e1rio patenteado. Sem a constante gen\u00e9rica de um Apple Watch nem o PAL fixo do MFP. Download gratuito, teste de 7 dias no plano anual.<\/p>\n  <div class=\"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=pillar-neat-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" loading=\"lazy\"><\/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=pillar-neat-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<\/main>\n\n<script>(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  var tabMap = {\n    bilan:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var currentTab = 'depense';\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 ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    var subMap = {BMR:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',NEAT:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',EAT:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',TEF:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'};\n    if(!subMap[sub]) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' '){ e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();<\/script>\n\n<script>\n(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n  var bar = document.querySelector('#lvm-shell .progress > i');\n  if (bar) {\n    function update(){\n      var h = document.documentElement;\n      var prog = h.scrollTop \/ (h.scrollHeight - h.clientHeight);\n      bar.style.transform = 'scaleX(' + Math.min(1, Math.max(0, prog)) + ')';\n    }\n    window.addEventListener('scroll', update, {passive:true});\n  }\n  var els = document.querySelectorAll('#lvm-shell .rev');\n  if (!('IntersectionObserver' in window)){els.forEach(function(e){e.classList.add('on')}); return;}\n  var io = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){if(e.isIntersecting) e.target.classList.add('on')});\n  },{threshold:0.1});\n  els.forEach(function(e){io.observe(e)});\n})();\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Quelle est la diff\u00e9rence entre NEAT et EAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"L'EAT couvre les s\u00e9ances de sport structur\u00e9es. Le NEAT couvre toutes les activit\u00e9s physiques du quotidien hors sport. Les deux entrent dans TDEE = BMR + NEAT + EAT + TEF.\"}},{\"@type\":\"Question\",\"name\":\"Comment le NEAT affecte-t-il mon d\u00e9ficit calorique ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"D\u00e9ficit r\u00e9el = apports - (BMR + NEAT + EAT + TEF). Si ton NEAT augmente de 300 kcal, ton d\u00e9ficit s'approfondit de 300 kcal. Lean ajuste l'objectif calorique en temps r\u00e9el.\"}},{\"@type\":\"Question\",\"name\":\"Le NEAT diminue-t-il en d\u00e9ficit calorique ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Oui, c'est l'adaptation m\u00e9tabolique. En d\u00e9ficit prolong\u00e9, le corps r\u00e9duit involontairement le NEAT. Lean mod\u00e9lise cet effet s\u00e9par\u00e9ment comme coefficient multiplicateur du BMR.\"}},{\"@type\":\"Question\",\"name\":\"Combien de pas par jour pour un NEAT optimal en s\u00e8che ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"8 000 \u00e0 12 000 pas par jour correspond \u00e0 une zone de NEAT \u00e9lev\u00e9 sans sur-compensation. Vise un objectif que tu peux tenir 6 jours sur 7.\"}},{\"@type\":\"Question\",\"name\":\"Lean utilise quel capteur pour le NEAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Lean lit les donn\u00e9es de pas depuis Apple Sant\u00e9 (iOS) ou Sant\u00e9 Connect (Android, le service officiel qui remplace Google Fit depuis 2024). Si ta montre est synchronis\u00e9e, Lean utilise ses donn\u00e9es, plus pr\u00e9cises que le seul smartphone.\"}},{\"@type\":\"Question\",\"name\":\"Qu'est-ce que le fidgeting et comment impacte-t-il le NEAT ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Le fidgeting d\u00e9signe les micro-mouvements involontaires. Levine (2005) a montr\u00e9 que des individus tr\u00e8s fidgety br\u00fblent jusqu'\u00e0 350 kcal de plus par jour \u00e0 activit\u00e9 identique.\"}},{\"@type\":\"Question\",\"name\":\"Est-ce que le NEAT compense la s\u00e9dentarit\u00e9 d'une journ\u00e9e de bureau ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Non, pas seul. 8h assis r\u00e9duisent le NEAT \u00e0 ~200 kcal. Des micro-marches aident mais ne compensent pas totalement une journ\u00e9e tr\u00e8s s\u00e9dentaire.\"}},{\"@type\":\"Question\",\"name\":\"Le NEAT est-il diff\u00e9rent entre hommes et femmes ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"La variabilit\u00e9 inter-individuelle est plus forte que la diff\u00e9rence homme\/femme. Lean calibre la conversion pas vers kcal selon ton profil complet : poids, bodyfat, taille.\"}}]},{\"@type\":\"MobileApplication\",\"name\":\"Lean\",\"operatingSystem\":\"iOS, Android\",\"applicationCategory\":\"HealthApplication\",\"description\":\"Lean calcule ton NEAT en temps r\u00e9el via podom\u00e8tre int\u00e9gr\u00e9. TDEE complet sur bodyfat r\u00e9el.\",\"aggregateRating\":{\"@type\":\"AggregateRating\",\"ratingValue\":\"4.7\",\"ratingCount\":\"1000\",\"bestRating\":\"5\"},\"offers\":{\"@type\":\"Offer\",\"price\":\"0\",\"priceCurrency\":\"EUR\"},\"downloadUrl\":\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\"}]}\n<\/script>\n\n<\/div>\n\n\n\n<!-- lean-mesh-v2-pillar-neat-OUTGOING-ONLY --><!-- \/lean-mesh-v2-pillar-neat-OUTGOING-ONLY -->\n\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Leia tamb\u00e9m<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><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;\">Defini\u00e7\u00e3o, equa\u00e7\u00e3o TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por que a gordura corporal muda tudo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 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;\">Entenda os 4 blocos + a adapta\u00e7\u00e3o metab\u00f3lica, fontes cient\u00edficas 2025.<\/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;\">10 % do TDEE em m\u00e9dia, 25 % com alta prote\u00edna. M\u00e9todo de c\u00e1lculo do Lean.<\/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: seu gasto esportivo real, sess\u00e3o por sess\u00e3o <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Os MET corretos, a armadilha da contagem dupla, o que Garmin e MyFitnessPal deixam passar.<\/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-neat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calculadora NEAT: quantas calorias seus passos queimam? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Seus passos reais convertidos em kcal sobre seu perfil medido. Zero caixinhas.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/10000-pas-calories\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">10 000 passos por dia: quantas calorias isso queima de verdade <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entre 300 e 550 kcal conforme o seu peso. Tabela por perfil, f\u00f3rmula p\u00fablica, calculadora.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Como calcular seu gasto cal\u00f3rico real: o guia completo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Accueil Accueil &nbsp;\/&nbsp; NEAT Pilier &middot; Science du m&eacute;tabolisme NEAT (Non-Exercise Activity Thermogenesis). Le guide complet pour comprendre et exploiter ta d&eacute;pense calorique cach&eacute;e. Le NEAT peut varier de +700&nbsp;kcal par jour entre deux individus de m&ecirc;me poids. Toutes les apps te demandent de cocher une case &laquo;&nbsp;l&eacute;g&egrave;rement actif&nbsp;&raquo;. Lean le calcule en temps [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1641","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NEAT: defini\u00e7\u00e3o, c\u00e1lculo e exemplos - Lean<\/title>\n<meta name=\"description\" content=\"O NEAT \u00e9 tudo o que tu gastas fora do esporte: caminhada, postura, gestos. 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