{"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\/es\/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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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\/es\/\"><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\/es\/\">Inicio<\/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\/es\/\">Inicio<\/a> &nbsp;\/&nbsp; NEAT<\/div>\n  <div class=\"eyebrow\">Pilar &middot; Ciencia del metabolismo<\/div>\n  <h1 id=\"title\">NEAT (Non-Exercise Activity Thermogenesis).\n    <span class=\"alt\">La gu\u00eda completa para entender y aprovechar tu gasto cal\u00f3rico oculto.<\/span>\n  <\/h1>\n  <p class=\"dek\">El NEAT puede variar en +700&nbsp;kcal al d\u00eda entre dos personas del mismo peso. Todas las apps te piden marcar una casilla \u00ab&nbsp;ligeramente activo&nbsp;\u00bb. Lean lo calcula en tiempo real con tu pod\u00f3metro.<\/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>\u00bfQuieres calcular tu NEAT?<\/b> La calculadora convierte tus pasos reales en kcal\/d\u00eda sobre tu perfil medido, sin ninguna casilla que marcar. <a href=\"https:\/\/lean-app.com\/es\/calculateur-neat\/\" style=\"color:#FF2D6E;font-weight:600;text-decoration:underline\">Abrir la 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>El equipo Lean<\/strong> &middot; Lectura 10&nbsp;min &middot; Actualizado el 27 de mayo de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?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\">Descarga gratuita<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      El NEAT abarca todo el gasto f\u00edsico fuera del deporte estructurado: caminar, tareas dom\u00e9sticas, gestos, estar de pie, escaleras. Es el componente m\u00e1s variable del TDEE, y tambi\u00e9n el m\u00e1s descuidado. Lean lo calcula con tu pod\u00f3metro, actualizado 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 interactiva<\/small>Toca la pantalla para explorar la 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 interactiva<\/small>Toca la pantalla<br>para explorar la aplicaci\u00f3n<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vista previa de la app Lean con desglose del TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Volver\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vista Lean, pesta\u00f1a 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=\"Detalle BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalle TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Pesta\u00f1a Balance\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Pesta\u00f1a Calor\u00edas\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Pesta\u00f1a Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Pesta\u00f1a Estrategia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar en la app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balance<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calor\u00edas<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Respuesta r\u00e1pida<\/div>\n    <p>El NEAT (Non-Exercise Activity Thermogenesis) es el gasto cal\u00f3rico ligado a las actividades f\u00edsicas del d\u00eda a d\u00eda fuera del deporte estructurado. Entra en la ecuaci\u00f3n <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. Es el componente m\u00e1s variable: entre un sedentario y alguien que camina 15&nbsp;000 pasos al d\u00eda, la diferencia alcanza 700&nbsp;kcal al d\u00eda seg\u00fan Levine (2005).<\/p>\n  <\/div>\n<\/section>\n\n<!-- 02. DEFINITION -->\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Definici\u00f3n<\/span>NEAT, el 2.\u00ba ladrillo del TDEE<\/h2>\n<div class=\"body\">\n<p>El <b>NEAT (Non-Exercise Activity Thermogenesis)<\/b> es la energ\u00eda quemada por todas las actividades f\u00edsicas del d\u00eda a d\u00eda que no son deporte estructurado y no forman parte del metabolismo basal. En claro: caminar hasta la cafeter\u00eda, gesticular al hablar, fregar los platos, subir escaleras, cuidar el jard\u00edn, hacer la compra, estar de pie.<\/p>\n<p>Se inserta en la ecuaci\u00f3n fundamental del 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>El <b>BMR<\/b> (Basal Metabolic Rate) es el gasto en reposo. El<b>EAT<\/b> (Exercise Activity Thermogenesis) cubre tus sesiones de deporte. El <b>TEF<\/b> (Thermic Effect of Food) es el calor producido al digerir. El NEAT, por su parte, cubre todo lo dem\u00e1s, y a menudo es el componente m\u00e1s f\u00e1cil de aumentar, sin a\u00f1adir una sola sesi\u00f3n de deporte.<\/p>\n<p>La<b>adaptaci\u00f3n metab\u00f3lica<\/b> viene adem\u00e1s como coeficiente multiplicador del BMR en d\u00e9ficit cal\u00f3rico prolongado. Convenci\u00f3n Lean: 100&nbsp;% = \u00f3ptimo, 90&nbsp;% = 10&nbsp;% de adaptaci\u00f3n. No entra <b>pasos<\/b> en la suma del TDEE.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Ver tambi\u00e9n: <a href=\"https:\/\/lean-app.com\/es\/metabolisme-de-base\/\">Pilar BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/depense-energetique-totale-v2\/\">Pilar TDEE<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/effet-thermique-des-aliments\/\">Pilar TEF<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/calcul-metabolisme-de-base\/\">Calculadora BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/calculateur-tdee\/\">Calculadora TDEE<\/a>\n<\/div>\n\n<!-- 03. VARIABILITE -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Variabilidad<\/span>+700&nbsp;kcal de diferencia entre personas del mismo peso<\/h2>\n<div class=\"body\">\n<p>Es el dato que m\u00e1s sorprende: dos personas del mismo peso, misma edad, misma morfolog\u00eda pueden tener un NEAT que difiere en <b>700&nbsp;kcal al d\u00eda<\/b>. No es una estimaci\u00f3n: es la cifra medida por James A. Levine en un estudio publicado en <em>Science<\/em> (2005, PMID&nbsp;15681386).<\/p>\n<p>La raz\u00f3n: los comportamientos motores involuntarios (fidgeting, gestos, postura) son profundamente individuales. Lo que es consciente es tu nivel de actividad de fondo: si subes por las escaleras o en ascensor, si te quedas de pie en la oficina, si caminas entre dos reuniones.<\/p>\n<p>Resultado pr\u00e1ctico: si est\u00e1s en un d\u00e9ficit cal\u00f3rico que se estanca, el NEAT es la primera variable a investigar, antes de aumentar el cardio o bajar las ingestas.<\/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;El NEAT entre individuos puede variar en m\u00e1s de 2&nbsp;000&nbsp;kJ\/d\u00eda (478&nbsp;kcal\/d\u00eda)&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 perfiles<\/span>De sedentario a activo: la diferencia en cifras<\/h2>\n<div class=\"body\">\n<p>Tres perfiles concretos, calculados para un hombre de 80&nbsp;kg, 35 a\u00f1os, 12&nbsp;% de masa grasa. El BMR es id\u00e9ntico en los tres casos. Solo cambia el NEAT.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Sedentario<\/h4>\n    <div class=\"meta\">~3&nbsp;000 pasos \/ d\u00eda &middot; Oficina sentado &middot; coche &middot; sof\u00e1<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">230&nbsp;kcal \/ d\u00eda<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.2 (sedentario)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pod\u00f3metro)<\/span><span class=\"v\">Medido en tiempo real<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La casilla \u00ab&nbsp;sedentario&nbsp;\u00bb en MyFitnessPal o Yazio aplica este PAL durante <b>todo el a\u00f1o<\/b>, incluso los d\u00edas en que caminas m\u00e1s.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Medio<\/h4>\n    <div class=\"meta\">~8&nbsp;000 pasos \/ d\u00eda &middot; Teletrabajo &middot; compras &middot; salidas<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">560&nbsp;kcal \/ d\u00eda<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.55 (ligeramente activo)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pod\u00f3metro)<\/span><span class=\"v\">Actualizado cada hora<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">330&nbsp;kcal de diferencia frente al perfil sedentario. El equivalente a media sesi\u00f3n de deporte, sin ir al gimnasio.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Activo<\/h4>\n    <div class=\"meta\">~15&nbsp;000 pasos \/ d\u00eda &middot; De pie en la oficina &middot; bici &middot; escaleras<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT estimado<\/span><span class=\"v\">900&nbsp;kcal \/ d\u00eda<\/span><\/div>\n      <div class=\"rw\"><span>Coeficiente PAL Mifflin<\/span><span class=\"v\">1.725 (muy activo)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (pod\u00f3metro)<\/span><span class=\"v\">Medido por pasos<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">670&nbsp;kcal de diferencia frente al sedentario. El equivalente a una comida completa quemada sin deporte adicional.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Por qu\u00e9 fallan las apps<\/span>PAL est\u00e1tico frente a c\u00e1lculo din\u00e1mico<\/h2>\n<div class=\"body\">\n<p>Cuando configuras MyFitnessPal o Yazio, te preguntan tu \u00ab&nbsp;nivel de actividad&nbsp;\u00bb. Marcas una casilla: <em>sedentario<\/em>, <em>ligeramente activo<\/em>, <em>moderadamente activo<\/em>. Y esa casilla define un coeficiente PAL (Physical Activity Level) que se aplica a tu BMR para siempre.<\/p>\n<p>El problema: ese coeficiente no cambia el lunes en que haces 15&nbsp;000 pasos frente al domingo en que no sales del sof\u00e1. Si marcaste \u00ab&nbsp;ligeramente activo&nbsp;\u00bb (PAL 1.375), tienes 1.375 para siempre, hagas lo que hagas realmente.<\/p>\n<p>Johannsen &amp; Ravussin (2008, PMID&nbsp;18769211) midieron que los errores de estimaci\u00f3n del NEAT mediante PAL est\u00e1tico pueden alcanzar <b>300 a 500&nbsp;kcal al d\u00eda<\/b>. Es el orden de magnitud que explica un d\u00e9ficit que \u00ab&nbsp;no funciona&nbsp;\u00bb o una ganancia de peso inexplicable habiendo \u00ab&nbsp;comido bien&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 pasos<\/h2>\n<div class=\"body\">\n<p>Un ejemplo concreto: 20&nbsp;000 pasos en el d\u00eda para un hombre de 80&nbsp;kg, 12&nbsp;% de grasa 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 pasos<\/span><span class=\"v\" style=\"color:#FF2D6E\">189&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M\u00e9todo<\/span><span class=\"v\">Pasos &times; constante fija<\/span><\/div>\n      <div class=\"rw\"><span>BMR tenido en cuenta<\/span><span class=\"v\">No<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La mayor\u00eda de las apps simplemente multiplican el n\u00famero de pasos por una constante gen\u00e9rica. El resultado est\u00e1 sistem\u00e1ticamente subestimado porque tu BMR real no entra en el c\u00e1lculo.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">C\u00e1lculo din\u00e1mico indexado a tu 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 pasos<\/span><span class=\"v\" style=\"color:#27AE60\">705&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>M\u00e9todo<\/span><span class=\"v\">Pasos &times; f(BMR, masa magra)<\/span><\/div>\n      <div class=\"rw lean\"><span>BMR tenido en cuenta<\/span><span class=\"v\">S\u00ed, mediante BodyScan IA<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Lean calibra el coste energ\u00e9tico de cada paso sobre tu perfil metab\u00f3lico completo. El mismo n\u00famero de pasos no cuesta las mismas calor\u00edas seg\u00fan tu composici\u00f3n corporal.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">Lean calcula tu NEAT en tiempo real, indexado a tu BMR real. Descarga gratuita, prueba de 7 d\u00edas en el plan 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 qu\u00e9 tu BMR cambia el valor de cada paso<\/h2>\n<div class=\"body\">\n<p>Es el argumento que la mayor\u00eda de los art\u00edculos sobre el NEAT omiten. El coste cal\u00f3rico de un paso no es una constante: depende de tu <b>masa magra real<\/b>, y por tanto de tu BMR.<\/p>\n<p>La raz\u00f3n fisiol\u00f3gica: el gasto en esfuerzo es proporcional a la masa metab\u00f3licamente activa (m\u00fasculos, \u00f3rganos), no al peso total. Dos personas de 80&nbsp;kg con 12&nbsp;% y 22&nbsp;% de grasa corporal tienen respectivamente 70,4&nbsp;kg y 62,4&nbsp;kg de masa magra. Su coste energ\u00e9tico para el mismo n\u00famero de pasos difiere en casi un 12&nbsp;%. Aplicado a 10&nbsp;000 pasos al d\u00eda, la diferencia alcanza varias decenas de kilocalor\u00edas, es decir, cientos de kilocalor\u00edas por semana.<\/p>\n<p>Concretamente: si tu c\u00e1lculo del NEAT no est\u00e1 indexado a tu BMR real, puedes estar en super\u00e1vit cal\u00f3rico creyendo estar en d\u00e9ficit, o al rev\u00e9s. Es exactamente la mec\u00e1nica que explica los estancamientos inexplicables en definici\u00f3n.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Lean calcula tu NEAT sobre tu masa magra real<\/div><p class=\"fd\">Gracias al BodyScan IA, Lean conoce tu grasa corporal. Deduce tu masa magra, calcula tu BMR con su modelo propietario patentado y calibra el coste de cada paso sobre ese perfil \u00fanico.<\/p><\/div><div class=\"fc\">Ultra personalizado<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">El NEAT se recalibra con cada actualizaci\u00f3n del perfil<\/div><p class=\"fd\">\u00bfPierdes 3&nbsp;kg de grasa en un mes? Tu BMR cambia, y el coste de cada paso se recalcula autom\u00e1ticamente en Lean. Las otras apps mantienen su constante definida en el registro.<\/p><\/div><div class=\"fc\">Din\u00e1mico<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Dos personas, misma caminata, gasto diferente<\/div><p class=\"fd\">Alguien con un BMR de 1&nbsp;900&nbsp;kcal y alguien con un BMR de 1&nbsp;500&nbsp;kcal no queman las mismas calor\u00edas caminando 10&nbsp;000 pasos. Aplicar la misma constante gen\u00e9rica a los dos es un error estructural.<\/p><\/div><div class=\"fc\">Fisio<\/div><\/div>\n<div class=\"body\">\n<p>Es la diferencia entre un c\u00e1lculo de NEAT gen\u00e9rico y un c\u00e1lculo de NEAT personalizado. Lean es la \u00fanica app que implementa esta arquitectura completa: BMR consciente de la grasa corporal, NEAT indexado a ese BMR, TDEE din\u00e1mico a la kilocalor\u00eda.<\/p>\n<\/div>\n\n<!-- 08. APPAREILS CONNECTES -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; Dispositivos conectados<\/span>Por qu\u00e9 tu reloj sobreestima sistem\u00e1ticamente tu NEAT<\/h2>\n<div class=\"body\">\n<p>Apple Watch, Garmin, Fitbit y las cintas de andar conectadas tienen un punto en com\u00fan: no conocen tu BMR. Su algoritmo de c\u00e1lculo del gasto se apoya en una constante gen\u00e9rica multiplicada por tu peso total, sin tener en cuenta tu composici\u00f3n corporal.<\/p>\n<p>Resultado: una sobreestimaci\u00f3n sistem\u00e1tica del <b>+30&nbsp;% al +100&nbsp;%<\/b> en el gasto ligado a la caminata. En un d\u00eda de 10&nbsp;000 pasos, un Apple Watch puede mostrar 700&nbsp;kcal cuando el valor real est\u00e1 m\u00e1s cerca de 350&nbsp;kcal para ese mismo 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\">Ejemplo concreto: d\u00e9ficit cal\u00f3rico de &minus;100&nbsp;kcal\/d\u00eda como objetivo<\/p>\n  <p style=\"margin:8px 0 0;font-size:14px;color:#3D3D3F\">Tu reloj muestra 700&nbsp;kcal por 1 h de caminata (10&nbsp;000 pasos). Valor real: ~350&nbsp;kcal. Sobreestimaci\u00f3n: +350&nbsp;kcal\/d\u00eda. Balance semanal: +350&times;7 &minus; 700 = <b>+1&nbsp;750&nbsp;kcal. Estabas en super\u00e1vit.<\/b><\/p>\n<\/blockquote>\n<div class=\"body\">\n<p>Este error puede arruinar por completo un d\u00e9ficit cal\u00f3rico. Lean integra los datos de tu reloj mediante Apple Salud o Health Connect, pero los <b>recalibra sobre tu BMR real<\/b>. Te beneficias de la precisi\u00f3n del sensor de tu reloj sin absorber su sesgo sistem\u00e1tico de c\u00e1lculo.<\/p>\n<p>Ver tambi\u00e9n: <a href=\"https:\/\/lean-app.com\/es\/metabolisme-de-base\/\" style=\"color:var(--pink)\">Pilar BMR: por qu\u00e9 la grasa corporal lo cambia todo en tu metabolismo basal<\/a>.<\/p>\n<\/div>\n\n<!-- 09. BODYSCAN IA -->\n<h2 class=\"sect\"><span class=\"num\">09 &middot; BodyScan IA<\/span>La grasa corporal real: la base del c\u00e1lculo del NEAT de Lean<\/h2>\n<div class=\"body\">\n<p>Para que el NEAT se calcule sobre tu BMR real, primero hay que conocer tu BMR real. Y para eso, hace falta tu grasa corporal, no solo tu peso. Aqu\u00ed es donde interviene el BodyScan IA de Lean.<\/p>\n<p>La mayor\u00eda de las apps calculan el BMR en funci\u00f3n del peso total (Harris-Benedict 1919, Mifflin-St Jeor 1990). Lean calcula tu BMR sobre tu <b>masa magra estimada mediante la grasa corporal<\/b>, gracias a un <b>modelo propietario patentado<\/b>. Dos personas de 80&nbsp;kg con 12&nbsp;% y 22&nbsp;% de grasa corporal tienen un BMR que difiere en 200&nbsp;kcal al d\u00eda. Si te equivocas en el BMR, tu NEAT (y todo el TDEE) est\u00e1 mal desde la base.<\/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> : grasa corporal real en 5 segundos, a partir de una foto<\/p>\n<\/div>\n<div class=\"body\">\n<p>Una foto, 5 segundos, y Lean conoce tu grasa corporal con precisi\u00f3n. Esa cifra alimenta directamente el c\u00e1lculo de tu BMR mediante el modelo propietario patentado Lean, que a su vez sirve de base al c\u00e1lculo de tu NEAT. Es la arquitectura en cadena que las otras apps no ofrecen.<\/p>\n<\/div>\n\n<!-- 10. COMMENT LEAN CALCULE -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Lean &amp; NEAT<\/span>C\u00e1lculo en tiempo real con el pod\u00f3metro<\/h2>\n<div class=\"body\">\n<p>Lean calcula tu NEAT a partir de tu pod\u00f3metro (Apple Salud en iOS, Health Connect en Android) y lo indexa a tu perfil metab\u00f3lico completo. Cada paso se contabiliza y se convierte en energ\u00eda seg\u00fan tu composici\u00f3n corporal real.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Pod\u00f3metro continuo en segundo plano<\/div><p class=\"fd\">Lean lee tus pasos mediante Apple Salud (iOS) o Health Connect (Android) en segundo plano. No hace falta abrir la app para que tus pasos se cuenten.<\/p><\/div><div class=\"fc\">Sensor<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT actualizado cada hora<\/div><p class=\"fd\">Tu NEAT en Lean cambia a lo largo del d\u00eda. A mediod\u00eda, ves tu gasto NEAT real de la ma\u00f1ana, indexado a tu BMR del momento.<\/p><\/div><div class=\"fc\">Tiempo real<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">A\u00f1adir pasos manualmente<\/div><p class=\"fd\">\u00bfCaminaste sin tu smartphone? Puedes a\u00f1adir (o quitar) pasos manualmente en la secci\u00f3n NEAT de Lean con el bot\u00f3n \u00ab&nbsp;+&nbsp;\u00bb. Se integran inmediatamente en tu balance 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\">Flexibilidad<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Apple Watch, Garmin, Fitbit<\/div><p class=\"fd\">Si tu reloj est\u00e1 sincronizado con Apple Salud (iOS) o Health Connect (Android), Lean utiliza sus datos de pasos (m\u00e1s precisos que los del smartphone solo), recalibrando el gasto sobre tu BMR real.<\/p><\/div><div class=\"fc\">Integraci\u00f3n<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Objetivo cal\u00f3rico adaptativo<\/div><p class=\"fd\">Lean ajusta tu objetivo diario seg\u00fan tu NEAT real. Si has caminado 12&nbsp;000 pasos esta ma\u00f1ana, tu objetivo cal\u00f3rico de la noche tiene en cuenta ese gasto adicional.<\/p><\/div><div class=\"fc\">Balance en vivo<\/div><\/div>\n\n<!-- 11. TUTORIELS : ACTIVER LE PODOMETRE -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Tutoriales<\/span>Activar el pod\u00f3metro en Lean<\/h2>\n<div class=\"body\">\n<p>Antes de nada, Lean necesita acceder a tus datos de pasos. El camino es diferente seg\u00fan tu smartphone. Tutoriales oficiales 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: activar el acceso a los pasos en Lean<\/div><p class=\"fd\">Abre los <b>Ajustes<\/b> de tu iPhone. En la barra de b\u00fasqueda de arriba, escribe \u00ab&nbsp;salud&nbsp;\u00bb o \u00ab&nbsp;health&nbsp;\u00bb. Pulsa <b>Acceso a datos y dispositivos<\/b>, y luego <b>Lean<\/b> en la lista. Comprueba que <b>N\u00famero de pasos<\/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 Health Connect y la app de fitness de tu marca<\/div><p class=\"fd\"><b>1. Descarga Health Connect<\/b> en Play Store, \u00e1brelo y ve a <b>Permisos de las aplicaciones &gt; Lean<\/b> y marca <b>Pasos<\/b>. <b>2. Descarga la app de fitness de tu marca<\/b> : Google Fit (Google), Samsung Health (Samsung), Huawei Health (Huawei), Lifelog (Sony) o la app de salud de tu marca. En esa app, comprueba que el seguimiento de pasos est\u00e1 activado. <b>3. En Health Connect<\/b>, autoriza a esa app de fitness a compartir \u00ab&nbsp;Pasos&nbsp;\u00bb en lectura y escritura. <b>Verificaci\u00f3n<\/b> : Health Connect &gt; Datos y acceso &gt; Actividad &gt; Pasos &gt; Ver todas las entradas: deben aparecer datos (camina unos pasos si est\u00e1 vac\u00edo).<\/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\/es\/calculateur-deficit-calorique\/\">Calculadora de d\u00e9ficit cal\u00f3rico<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/calculateur-tdee\/\">Calculadora TDEE completa<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/metabolisme-de-base\/\">Pilar BMR<\/a> u00b7 <a href=\"https:\/\/lean-app.com\/es\/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; clasificaci\u00f3n<\/span>Por qu\u00e9 caminar se clasifica como NEAT y no como EAT<\/h2>\n<div class=\"body\">\n<p>La pregunta vuelve a menudo: caminar, \u00bfes NEAT o EAT? La respuesta se basa en los MET (Metabolic Equivalent of Task), la unidad utilizada en la literatura cient\u00edfica para clasificar las actividades f\u00edsicas.<\/p>\n<p>1 MET = la energ\u00eda gastada en reposo sentado. La frontera NEAT\/EAT est\u00e1 fijada en <b>MET&nbsp;=&nbsp;3<\/b> : por debajo, es NEAT; por encima, es EAT.<\/p>\n<p>Caminar est\u00e1 en la frontera: una caminata lenta (&lt;&nbsp;4&nbsp;km\/h) est\u00e1 en MET&nbsp;&asymp;&nbsp;2,5-3; una caminata r\u00e1pida (&gt;&nbsp;6&nbsp;km\/h) sube a MET&nbsp;4-5. En la literatura cient\u00edfica, caminar a ritmo normal se clasifica muy mayoritariamente como NEAT. Lean sigue esta convenci\u00f3n.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Actividades NEAT (MET &lt; 3)<\/h4>\n    <div class=\"meta\">Gasto diario estimado para 8&nbsp;000 pasos\/d\u00eda<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Caminata suave<\/span><span class=\"v\">350&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Estar de pie<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Fregar, tareas dom\u00e9sticas<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Otros micromovimientos<\/span><span class=\"v\">60&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Total NEAT<\/span><span class=\"v\">~440&nbsp;kcal \/ d\u00eda<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Caminar representa alrededor del 80&nbsp;% del NEAT total para una persona est\u00e1ndar. Por eso Lean basa principalmente su medida del NEAT en el n\u00famero de pasos.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Actividades EAT (MET &gt; 3)<\/h4>\n    <div class=\"meta\">Ejemplos de deporte estructurado claramente por encima del umbral<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Carrera (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>Musculaci\u00f3n (esfuerzo mod.)<\/span><span class=\"v\">MET 4-5<\/span><\/div>\n      <div class=\"rw lean\"><span>Contabilizado en Lean<\/span><span class=\"v\">Pesta\u00f1a EAT<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Si practicas la carrera y tu pod\u00f3metro est\u00e1 activo, elige en Lean los ejercicios \u00ab&nbsp;NEAT incluido&nbsp;\u00bb para evitar contar dos veces tus pasos.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. STRATEGIES NEAT -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Estrategias NEAT<\/span>Camino m\u00e1s, como m\u00e1s<\/h2>\n<div class=\"body\">\n<p>El principio fundamental del NEAT: cada paso adicional aumenta tu gasto, lo que aumenta tu objetivo cal\u00f3rico. <b>Camino m\u00e1s = como m\u00e1s.<\/b> Es el intercambio justo que los deportistas en definici\u00f3n entienden r\u00e1pido: en lugar de bajar las ingestas, aumenta primero el gasto.<\/p>\n<p>La ventaja del NEAT sobre el EAT: sin recuperaci\u00f3n necesaria, sin riesgo de lesi\u00f3n, sin estr\u00e9s hormonal del cardio intensivo. Estas son las palancas m\u00e1s eficaces.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+2&nbsp;000 pasos = +70&nbsp;kcal (el m\u00ednimo \u00fatil)<\/div><p class=\"fd\">Integra 2 bloques de caminata de 10 minutos en tu d\u00eda. Por la ma\u00f1ana entre dos tareas, por la tarde antes de la siguiente reuni\u00f3n. 20 minutos, +2&nbsp;000 pasos, +70&nbsp;kcal sin tocar tu programa de deporte.<\/p><\/div><div class=\"fc\">Diario<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Escritorio de pie 3 h\/d\u00eda (+100 a 200&nbsp;kcal)<\/div><p class=\"fd\">Estar de pie 3 horas en lugar de sentado quema ~150&nbsp;kcal adicionales. Alternar sentado\/de pie cada 30 minutos es m\u00e1s eficaz que un \u00fanico bloque de pie.<\/p><\/div><div class=\"fc\">Oficina<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Bici casa-trabajo (+300 a 500&nbsp;kcal\/d\u00eda)<\/div><p class=\"fd\">Un trayecto en bici de 20 minutos ida y vuelta a ritmo moderado cuenta como NEAT si el esfuerzo se mantiene por debajo de MET&nbsp;3. Por encima (bici deportiva, pulsaciones altas), es EAT: a registrar por separado en Lean.<\/p><\/div><div class=\"fc\">Transporte<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Escaleras sistem\u00e1ticamente (+50 a 100&nbsp;kcal\/d\u00eda)<\/div><p class=\"fd\">Subir 10 pisos quema ~8&nbsp;kcal. 4 trayectos\/d\u00eda en un edificio de 5 pisos = 32&nbsp;kcal. En 22 d\u00edas laborables = 700&nbsp;kcal este mes, sin una sola sesi\u00f3n de deporte adicional.<\/p><\/div><div class=\"fc\">Edificio<\/div><\/div>\n<div class=\"body\">\n<p>Cuidado con el efecto de compensaci\u00f3n (Pontzer et al., 2021, PMID&nbsp;34385400): si aumentas tu NEAT demasiado r\u00e1pido, tu cuerpo puede reducir parcialmente otros gastos espont\u00e1neos. El aumento real suele ser del 60 al 70&nbsp;% del gasto te\u00f3rico. Lean modeliza este efecto en su 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 en vivo<\/span>El seguimiento paso a paso en Lean<\/h2>\n<div class=\"body\">\n<p>La pesta\u00f1a Gasto de Lean detalla en tiempo real cada componente del TDEE: BMR, NEAT, EAT, TEF. El NEAT mostrado corresponde a tus pasos reales del d\u00eda, convertidos en kilocalor\u00edas sobre tu 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 en tiempo real, indexado a tu BMR real<\/div>\n\n<!-- 15. STRATEGIES PAR OBJECTIF -->\n<h2 class=\"sect\"><span class=\"num\">15 &middot; Objetivos<\/span>NEAT y estrategia seg\u00fan definici\u00f3n, volumen o recomposici\u00f3n<\/h2>\n<p>Una vez conocido tu NEAT preciso, la aplicaci\u00f3n pr\u00e1ctica es directa. Tres objetivos, tres palancas.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Definici\u00f3n (p\u00e9rdida de grasa)<\/h4>\n    <div class=\"meta\">Objetivo: maximizar el NEAT sin sobrecompensaci\u00f3n<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Palanca NEAT<\/span><span class=\"v\">+3&nbsp;000 pasos \/ d\u00eda<\/span><\/div>\n      <div class=\"rw\"><span>Ventaja<\/span><span class=\"v\">Sin estr\u00e9s hormonal del cardio<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calcula<\/span><span class=\"v\">Impacto exacto en el d\u00e9ficit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Maximizar el NEAT es la estrategia reina en definici\u00f3n. Herramienta: <a href=\"https:\/\/lean-app.com\/es\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">calculadora de d\u00e9ficit cal\u00f3rico<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Volumen (ganancia de m\u00fasculo)<\/h4>\n    <div class=\"meta\">Objetivo: super\u00e1vit controlado, m\u00ednima ganancia de grasa<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Palanca NEAT<\/span><span class=\"v\">Moderado (no erosionar el super\u00e1vit)<\/span><\/div>\n      <div class=\"rw\"><span>Riesgo<\/span><span class=\"v\">Un NEAT demasiado alto reduce el super\u00e1vit neto<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean muestra<\/span><span class=\"v\">Super\u00e1vit neto tras el NEAT real<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">En volumen, Lean muestra el super\u00e1vit real en tiempo real para ajustar la ingesta con precisi\u00f3n.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomposici\u00f3n (mantenimiento + construcci\u00f3n)<\/h4>\n    <div class=\"meta\">Objetivo: precisi\u00f3n m\u00e1xima en ingestas y gasto<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Palanca NEAT<\/span><span class=\"v\">Herramienta de precisi\u00f3n a la kcal<\/span><\/div>\n      <div class=\"rw\"><span>Ventaja<\/span><span class=\"v\">Equilibrio sin aproximaci\u00f3n<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean calcula<\/span><span class=\"v\">Balance cal\u00f3rico en vivo<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">La recomposici\u00f3n exige una precisi\u00f3n m\u00e1xima. Un NEAT calibrado sobre tu BMR real es una ventaja decisiva.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 16. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; La Pir\u00e1mide<\/span>Pir\u00e1mide de Progresi\u00f3n Lean<\/h2>\n<div class=\"body\">\n<p>La Pir\u00e1mide de Progresi\u00f3n Lean jerarquiza las prioridades para alcanzar tu objetivo corporal. El NEAT ocupa el 3.er escal\u00f3n, despu\u00e9s de la adherencia alimentaria y del objetivo cal\u00f3rico preciso.<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Pir\u00e1mide de Progresi\u00f3n Lean\">\n  <div class=\"level l1\"><span>Adherencia<\/span><span class=\"k\">Base<\/span><\/div>\n  <div class=\"level l2\"><span>Objetivo cal\u00f3rico (TDEE preciso)<\/span><span class=\"k\">Nivel 2<\/span><\/div>\n  <div class=\"level l3\"><span>Pasos \/ NEAT diario<\/span><span class=\"k\">Nivel 3<\/span><\/div>\n  <div class=\"level l4\"><span>Macronutrientes<\/span><span class=\"k\">Cima<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">No quemar etapas. Un TDEE preciso sobre grasa corporal real es el nivel 2. Pero si no registras tu NEAT con regularidad, los macros no cambian nada.<\/div>\n\n<!-- 17. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">17 &middot; FAQ<\/span>Todo lo que te preguntas sobre el NEAT<\/h2>\n\n<details class=\"faq\"><summary>\u00bfCu\u00e1l es la diferencia entre NEAT y EAT?<\/summary><div class=\"faq-body\"><p>La<b>EAT (Exercise Activity Thermogenesis)<\/b> cubre tus sesiones de deporte estructuradas (musculaci\u00f3n, running, bici). El <b>NEAT<\/b> cubre todo el resto de actividades del d\u00eda a d\u00eda: caminar, tareas dom\u00e9sticas, gestos, escaleras. La frontera est\u00e1 en MET&nbsp;=&nbsp;3: por debajo es NEAT, por encima es EAT. Los dos se calculan por separado en la ecuaci\u00f3n TDEE = BMR + NEAT + EAT + TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfPor qu\u00e9 mi Apple Watch sobreestima mis calor\u00edas?<\/summary><div class=\"faq-body\"><p>El Apple Watch calcula tu gasto al caminar sin acceso a tu BMR real. Aplica una constante gen\u00e9rica multiplicada por tu peso, sin tener en cuenta tu composici\u00f3n corporal. Resultado: una sobreestimaci\u00f3n del +30 al +100&nbsp;% seg\u00fan el perfil. Lean recalibra los datos de tu reloj sobre tu BMR consciente de la grasa corporal para eliminar ese sesgo.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfC\u00f3mo afecta el NEAT a mi d\u00e9ficit cal\u00f3rico?<\/summary><div class=\"faq-body\"><p>Directamente: d\u00e9ficit real = ingestas &minus; (BMR + NEAT + EAT + TEF). Si tu NEAT aumenta en 300&nbsp;kcal ese d\u00eda, tu TDEE aumenta en 300&nbsp;kcal y tu d\u00e9ficit se profundiza. En Lean, el objetivo cal\u00f3rico diario se ajusta en tiempo real a medida que tu NEAT progresa durante el d\u00eda.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfEl NEAT disminuye en d\u00e9ficit cal\u00f3rico?<\/summary><div class=\"faq-body\"><p>S\u00ed, es la adaptaci\u00f3n metab\u00f3lica. En d\u00e9ficit prolongado, el cuerpo reduce involuntariamente el NEAT (menos gestos, menos motivaci\u00f3n para moverse). Rosenbaum et al. (2010) midieron una reducci\u00f3n que puede alcanzar 150&nbsp;kcal\/d\u00eda en d\u00e9ficit severo. Lean modeliza la adaptaci\u00f3n metab\u00f3lica por separado, como coeficiente multiplicador del BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfCu\u00e1ntos pasos al d\u00eda para un NEAT \u00f3ptimo en definici\u00f3n?<\/summary><div class=\"faq-body\"><p>Los datos de Levine y Healy apuntan a 8&nbsp;000 a 12&nbsp;000 pasos\/d\u00eda como zona de NEAT elevado sin sobrecompensaci\u00f3n. En la pr\u00e1ctica, apunta a un objetivo que puedas mantener 6 d\u00edas de 7. Una base de 10&nbsp;000 pasos es un primer objetivo claro y alcanzable. Lean muestra la media semanal de tu NEAT para ayudarte a calibrar ese objetivo.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfPuedo comer m\u00e1s si camino m\u00e1s?<\/summary><div class=\"faq-body\"><p>S\u00ed, es el principio central. Cada paso adicional aumenta tu TDEE, lo que aumenta el objetivo cal\u00f3rico calculado por Lean. La f\u00f3rmula: <b>camino m\u00e1s = como m\u00e1s<\/b>, manteni\u00e9ndote en tu objetivo. En definici\u00f3n, suele ser preferible a bajar las ingestas, porque limita la frustraci\u00f3n alimentaria.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfQu\u00e9 sensor utiliza Lean para el NEAT?<\/summary><div class=\"faq-body\"><p>Lean lee los pasos desde <b>Apple Salud<\/b> (iOS) o <b>Health Connect<\/b> (Android, el servicio que sustituye a Google Fit desde 2024). El aceler\u00f3metro de tu smartphone o de tu reloj conectado (Apple Watch, Garmin, Fitbit, Samsung Galaxy Watch) alimenta estas plataformas. Si tu reloj est\u00e1 sincronizado, Lean utiliza sus datos recalibrando el gasto sobre tu BMR real, no sobre la constante interna del reloj.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>\u00bfQu\u00e9 es el fidgeting y c\u00f3mo afecta al NEAT?<\/summary><div class=\"faq-body\"><p>El <em>fidgeting<\/em> designa los micromovimientos involuntarios (balancearse, gesticular, tamborilear con los dedos). Levine (2005) mostr\u00f3 que las personas muy \u00ab&nbsp;inquietas&nbsp;\u00bb queman hasta 350&nbsp;kcal m\u00e1s al d\u00eda a igual actividad. Este comportamiento es en gran parte inconsciente, de ah\u00ed la importancia de un NEAT medido con pod\u00f3metro en lugar de estimado con un PAL est\u00e1tico.<\/p><\/div><\/details>\n\n<!-- 18. SOURCES -->\n<div class=\"sources\">\n  <h4>Fuentes 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>Calcula tu NEAT sobre tu grasa corporal real<\/h3>\n  <p>Pod\u00f3metro integrado. NEAT recalculado cada hora, indexado a tu BMR real. Modelo propietario patentado. Sin la constante gen\u00e9rica de un Apple Watch ni el PAL fijo de MFP. 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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;\">Lecturas relacionadas<\/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\/es\/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): todo lo que hay que saber para calcularlo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definici\u00f3n, ecuaci\u00f3n TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por qu\u00e9 la grasa corporal lo cambia todo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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): la f\u00f3rmula can\u00f3nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entiende los 4 bloques + la adaptaci\u00f3n metab\u00f3lica, fuentes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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: el efecto t\u00e9rmico de los alimentos seg\u00fan tus macros <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10 % del TDEE de media, 25 % con alta prote\u00edna. M\u00e9todo de c\u00e1lculo de Lean.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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&nbsp;: tu gasto deportivo real, sesi\u00f3n por sesi\u00f3n <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Los MET correctos, la trampa del doble conteo, lo que Garmin y MyFitnessPal pasan por alto.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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;\">Mejores aplicaciones para contar calor\u00edas en 2026: 8 apps probadas <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\/es\/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: \u00bfcu\u00e1ntas calor\u00edas queman tus pasos? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Tus pasos reales convertidos en kcal sobre tu perfil medido. Cero casillas.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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 pasos al d\u00eda: cu\u00e1ntas calor\u00edas quema realmente <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entre 300 y 550 kcal seg\u00fan tu peso. Tabla por perfil, f\u00f3rmula p\u00fablica, calculadora.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/es\/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;\">C\u00f3mo calcular tu gasto cal\u00f3rico real: la gu\u00eda completa <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sobre grasa corporal real, NEAT por pasos, EAT por sesi\u00f3n, TEF por macros, adaptaci\u00f3n.<\/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: definici\u00f3n, c\u00e1lculo y ejemplos - Lean<\/title>\n<meta name=\"description\" content=\"El NEAT es todo lo que quemas fuera del deporte: caminar, postura, gestos. 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