{"id":1641,"date":"2026-05-27T21:55:30","date_gmt":"2026-05-27T21:55:30","guid":{"rendered":"https:\/\/lean-app.com\/?p=1641"},"modified":"2026-09-05T10:53:04","modified_gmt":"2026-09-05T10:53:04","slug":"neat-depense-non-sportive","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/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\/da\/\"><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\/da\/\">Accueil<\/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\/da\/\">Accueil<\/a> &nbsp;\/&nbsp; NEAT<\/div>\n  <div class=\"eyebrow\">S\u00f8jle &middot; Stofskiftets videnskab<\/div>\n  <h1 id=\"title\">NEAT (Non-Exercise Activity Thermogenesis).\n    <span class=\"alt\">Den komplette guide til at forst\u00e5 og udnytte dit skjulte kalorieforbrug.<\/span>\n  <\/h1>\n  <p class=\"dek\">NEAT kan variere med +700&nbsp;kcal om dagen mellem to personer med samme v\u00e6gt. Alle apps beder dig s\u00e6tte kryds i en boks \u00ablet aktiv\u00bb. Lean beregner det i realtid via din skridtt\u00e6ller.<\/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>Vil du beregne din NEAT&nbsp;?<\/b> Beregneren omregner dine reelle skridt til kcal\/dag p\u00e5 din m\u00e5lte profil, uden en eneste afkrydsningsboks. <a href=\"https:\/\/lean-app.com\/da\/calculateur-neat\/\" style=\"color:#FF2D6E;font-weight:600;text-decoration:underline\">\u00c5bn NEAT-beregneren &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>L&rsquo;&eacute;quipe Lean<\/strong> &middot; L\u00e6setid 10&nbsp;min &middot; Opdateret 27. maj 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\">T&eacute;l&eacute;chargement gratuit<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      NEAT d\u00e6kker alt fysisk forbrug uden for struktureret sport: gang, reng\u00f8ring, gestik, st\u00e5ende stilling, trapper. Det er den mest variable komponent i TDEE, og ogs\u00e5 den mest oversete. Lean beregner den via din skridtt\u00e6ller, opdateret hver time.\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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen for at udforske appen<\/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>Interaktiv demo<\/small>Tryk p\u00e5 sk\u00e6rmen<br>pour explorer l&rsquo;app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper&ccedil;u de l&rsquo;application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Retour\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper&ccedil;u Lean, onglet D&eacute;pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D&eacute;tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D&eacute;tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D&eacute;tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D&eacute;tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Onglet D&eacute;pense\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat&eacute;gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l&rsquo;app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilan<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calories<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbrug<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">R&eacute;ponse rapide<\/div>\n    <p>NEAT (Non-Exercise Activity Thermogenesis) er kalorieforbruget knyttet til hverdagens fysiske aktiviteter uden for struktureret sport. Det indg\u00e5r i ligningen <b>TDEE = BMR + NEAT + EAT + TEF<\/b>. Det er den mest variable komponent: mellem en stillesiddende og en, der g\u00e5r 15&nbsp;000 skridt om dagen, n\u00e5r forskellen 700&nbsp;kcal om dagen if\u00f8lge Levine (2005).<\/p>\n  <\/div>\n<\/section>\n\n<!-- 02. DEFINITION -->\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Definition<\/span>NEAT, TDEE's 2. byggesten<\/h2>\n<div class=\"body\">\n<p>Le <b>NEAT (Non-Exercise Activity Thermogenesis)<\/b> er den energi, der forbr\u00e6ndes af alle hverdagens fysiske aktiviteter, som ikke er struktureret sport og ikke er en del af basalstofskiftet. Kort sagt: g\u00e5 til caf\u00e9en, gestikulere mens man taler, vaske op, tage trapperne, arbejde i haven, handle ind, st\u00e5 op.<\/p>\n<p>Den indg\u00e5r i stofskiftets grundligning:<\/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>Le <b>BMR<\/b> (Basal Metabolic Rate) er forbruget i hvile.<b>EAT<\/b> (Exercise Activity Thermogenesis) d\u00e6kker dine tr\u00e6ningspas. <b>TEF<\/b> (Thermic Effect of Food) er varmen produceret under ford\u00f8jelsen. NEAT d\u00e6kker alt det andet, og det er ofte den komponent, der er lettest at \u00f8ge, uden at tilf\u00f8je et eneste tr\u00e6ningspas.<\/p>\n<p>Den<b>metaboliske tilpasning<\/b> kommer oveni som multiplikationskoefficient p\u00e5 BMR ved langvarigt kalorieunderskud. Lean-konvention: 100&nbsp;% = optimalt, 90&nbsp;% = 10&nbsp;% tilpasning. Den indg\u00e5r <b>pas<\/b> i TDEE-summen.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Se ogs\u00e5: <a href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\">BMR-s\u00f8jle<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">TDEE-s\u00f8jle<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF-s\u00f8jle<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/calcul-metabolisme-de-base\/\">BMR-beregner<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">Calculateur TDEE<\/a>\n<\/div>\n\n<!-- 03. VARIABILITE -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Variabilitet<\/span>+700&nbsp;kcal forskel mellem personer med samme v\u00e6gt<\/h2>\n<div class=\"body\">\n<p>Det er den data, der overrasker mest: to personer med samme v\u00e6gt, samme alder, samme kropsbygning kan have en NEAT, der afviger med <b>700&nbsp;kcal om dagen<\/b>. Det er ikke et sk\u00f8n: det er tallet m\u00e5lt af James A. Levine i et studie publiceret i <em>Videnskab<\/em> (2005, PMID&nbsp;15681386).<\/p>\n<p>\u00c5rsagen: de ufrivillige motoriske adf\u00e6rdsm\u00f8nstre (fidgeting, gestik, kropsholdning) er dybt individuelle. Det bevidste er dit baggrundsaktivitetsniveau: tager du trapperne eller elevatoren, st\u00e5r du op p\u00e5 kontoret, g\u00e5r du mellem to m\u00f8der.<\/p>\n<p>Praktisk resultat: hvis du er i et kalorieunderskud, der stagnerer, er NEAT den f\u00f8rste variabel at unders\u00f8ge, f\u00f8r du \u00f8ger cardio eller s\u00e6nker indtaget.<\/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\">\u00abNEAT mellem individer kan variere med mere end 2&nbsp;000&nbsp;kJ\/dag (478&nbsp;kcal\/dag)\u00bb<\/p>\n  <cite style=\"font-size:13px;color:#6E6E73;margin-top:8px;display:block\">Levine JA et al., <em>Videnskab<\/em> 2005, PMID 15681386<\/cite>\n<\/blockquote>\n\n<!-- 04. 3 PROFILS -->\n<h2 class=\"sect\"><span class=\"num\">04 &middot; 3 profiler<\/span>Fra stillesiddende til aktiv: forskellen i tal<\/h2>\n<div class=\"body\">\n<p>Tre konkrete profiler, beregnet p\u00e5 en mand p\u00e5 80&nbsp;kg, 35 \u00e5r, 12&nbsp;% fedtmasse. BMR er identisk i alle tre tilf\u00e6lde. Kun NEAT \u00e6ndrer sig.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Stillesiddende<\/h4>\n    <div class=\"meta\">~3&nbsp;000 skridt \/ dag &middot; Siddende kontor &middot; bil &middot; sofa<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimeret NEAT<\/span><span class=\"v\">230&nbsp;kcal \/ dag<\/span><\/div>\n      <div class=\"rw\"><span>PAL-koefficient Mifflin<\/span><span class=\"v\">1.2 (stillesiddende)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (skridtt\u00e6ller)<\/span><span class=\"v\">M\u00e5lt i realtid<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Boksen \u00abstillesiddende\u00bb i MyFitnessPal eller Yazio anvender denne PAL <b>hele \u00e5ret<\/b>, selv de dage, hvor du g\u00e5r mere.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Middel<\/h4>\n    <div class=\"meta\">~8&nbsp;000 skridt \/ dag &middot; Hjemmearbejde &middot; indk\u00f8b &middot; udflugter<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimeret NEAT<\/span><span class=\"v\">560&nbsp;kcal \/ dag<\/span><\/div>\n      <div class=\"rw\"><span>PAL-koefficient Mifflin<\/span><span class=\"v\">1.55 (let aktiv)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (skridtt\u00e6ller)<\/span><span class=\"v\">Opdateret hver time<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">330&nbsp;kcal forskel vs den stillesiddende profil. Svarende til et halvt tr\u00e6ningspas, uden at g\u00e5 i fitnesscenteret.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Aktiv<\/h4>\n    <div class=\"meta\">~15&nbsp;000 skridt \/ dag &middot; St\u00e5ende p\u00e5 kontoret &middot; cykel &middot; trapper<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Estimeret NEAT<\/span><span class=\"v\">900&nbsp;kcal \/ dag<\/span><\/div>\n      <div class=\"rw\"><span>PAL-koefficient Mifflin<\/span><span class=\"v\">1.725 (meget aktiv)<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean (skridtt\u00e6ller)<\/span><span class=\"v\">M\u00e5lt per skridt<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">670&nbsp;kcal forskel vs stillesiddende. Svarende til et helt m\u00e5ltid forbr\u00e6ndt uden ekstra sport.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Hvorfor apps fejler<\/span>Statisk PAL mod dynamisk beregning<\/h2>\n<div class=\"body\">\n<p>N\u00e5r du s\u00e6tter MyFitnessPal eller Yazio op, bliver du spurgt om dit \u00abaktivitetsniveau\u00bb. Du s\u00e6tter kryds i en boks: <em>stillesiddende<\/em>, <em>let aktiv<\/em>, <em>moderat aktiv<\/em>. Og den boks definerer en PAL-koefficient (Physical Activity Level), der anvendes p\u00e5 din BMR for altid.<\/p>\n<p>Problemet: koefficienten \u00e6ndrer sig ikke den mandag, hvor du g\u00e5r 15&nbsp;000 skridt, versus den s\u00f8ndag, hvor du ikke forlader sofaen. Har du krydset \u00ablet aktiv\u00bb af (PAL 1.375), har du 1.375 for altid, uanset hvad du reelt g\u00f8r.<\/p>\n<p>Johannsen &amp; Ravussin (2008, PMID&nbsp;18769211) m\u00e5lte, at fejlene ved estimering af NEAT via statisk PAL kan n\u00e5 <b>300 til 500&nbsp;kcal om dagen<\/b>. Det er den st\u00f8rrelsesorden, der forklarer et underskud, der \u00abikke virker\u00bb, eller en uforklarlig v\u00e6gt\u00f8gning, selv om man har \u00abspist rigtigt\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 for 20&nbsp;000 skridt<\/h2>\n<div class=\"body\">\n<p>Et konkret eksempel: 20&nbsp;000 skridt p\u00e5 en dag for en mand p\u00e5 80&nbsp;kg, 12&nbsp;% fedtprocent.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>MyFitnessPal<\/h4>\n    <div class=\"meta\">Statisk PAL-beregning p\u00e5 totalv\u00e6gt<\/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 skridt<\/span><span class=\"v\" style=\"color:#FF2D6E\">189&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Metode<\/span><span class=\"v\">Skridt &times; fast konstant<\/span><\/div>\n      <div class=\"rw\"><span>BMR medregnet<\/span><span class=\"v\">Nej<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">De fleste apps ganger simpelthen antallet af skridt med en generisk konstant. Resultatet er systematisk undervurderet, fordi din reelle BMR ikke indg\u00e5r i beregningen.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">Dynamisk beregning indekseret p\u00e5 din reelle BMR<\/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 skridt<\/span><span class=\"v\" style=\"color:#27AE60\">705&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Metode<\/span><span class=\"v\">Skridt &times; f(BMR, fedtfri masse)<\/span><\/div>\n      <div class=\"rw lean\"><span>BMR medregnet<\/span><span class=\"v\">Ja, via AI BodyScan<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Lean kalibrerer energiomkostningen for hvert skridt p\u00e5 din komplette metaboliske profil. Det samme antal skridt koster ikke de samme kalorier afh\u00e6ngigt af din kropssammens\u00e6tning.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">Lean beregner din NEAT i realtid, indekseret p\u00e5 din reelle BMR. Gratis download, 7 dages pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet.<\/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>Hvorfor din BMR \u00e6ndrer v\u00e6rdien af hvert skridt<\/h2>\n<div class=\"body\">\n<p>Det er argumentet, som de fleste artikler om NEAT udelader. Kalorieomkostningen for et skridt er ikke en konstant: den afh\u00e6nger af din <b>reelle fedtfri masse<\/b>, alts\u00e5 af din BMR.<\/p>\n<p>Den fysiologiske \u00e5rsag: forbruget under anstrengelse er proportionalt med den metabolisk aktive masse (muskler, organer), ikke med totalv\u00e6gten. To personer p\u00e5 80&nbsp;kg med 12&nbsp;% og 22&nbsp;% fedtprocent har henholdsvis 70,4&nbsp;kg og 62,4&nbsp;kg fedtfri masse. Deres energiomkostning for det samme antal skridt afviger med n\u00e6sten 12&nbsp;%. Anvendt p\u00e5 10&nbsp;000 skridt om dagen n\u00e5r forskellen flere titals kilokalorier, alts\u00e5 hundredvis af kilokalorier om ugen.<\/p>\n<p>Konkret: hvis din NEAT-beregning ikke er indekseret p\u00e5 din reelle BMR, kan du v\u00e6re i kalorieoverskud, mens du tror, du er i underskud, eller omvendt. Det er pr\u00e6cis den mekanik, der forklarer uforklarlige plateauer under cut.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Lean beregner din NEAT p\u00e5 din reelle fedtfri masse<\/div><p class=\"fd\">Takket v\u00e6re AI BodyScan kender Lean din fedtprocent. Den udleder din fedtfri masse af det, beregner din BMR via sin patenterede egenudviklede model og kalibrerer omkostningen for hvert skridt p\u00e5 denne unikke profil.<\/p><\/div><div class=\"fc\">Ultra-personlig<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT rekalibreres ved hver profilopdatering<\/div><p class=\"fd\">Taber du 3&nbsp;kg fedt p\u00e5 en m\u00e5ned? Din BMR \u00e6ndrer sig, og omkostningen for hvert skridt genberegnes automatisk i Lean. De andre apps beholder deres konstant defineret ved tilmeldingen.<\/p><\/div><div class=\"fc\">Dynamisk<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">To personer, samme g\u00e5tur, forskelligt forbrug<\/div><p class=\"fd\">En person med en BMR p\u00e5 1&nbsp;900&nbsp;kcal og en person med en BMR p\u00e5 1&nbsp;500&nbsp;kcal forbr\u00e6nder ikke de samme kalorier ved at g\u00e5 10&nbsp;000 skridt. At anvende samme generiske konstant p\u00e5 begge er en strukturel fejl.<\/p><\/div><div class=\"fc\">Fysiologi<\/div><\/div>\n<div class=\"body\">\n<p>Det er forskellen mellem en generisk NEAT-beregning og en personlig NEAT-beregning. Lean er den eneste app, der implementerer denne komplette arkitektur: fedtprocentbevidst BMR, NEAT indekseret p\u00e5 denne BMR, dynamisk TDEE p\u00e5 kilokalorien.<\/p>\n<\/div>\n\n<!-- 08. APPAREILS CONNECTES -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; Wearables<\/span>Hvorfor dit ur systematisk overvurderer din NEAT<\/h2>\n<div class=\"body\">\n<p>Apple Watch, Garmin, Fitbit og smarte gangb\u00e5nd har \u00e9n ting til f\u00e6lles: de kender ikke din BMR. Deres algoritme til beregning af forbrug bygger p\u00e5 en generisk konstant ganget med din totalv\u00e6gt, uden hensyn til din kropssammens\u00e6tning.<\/p>\n<p>Resultat: en systematisk overvurdering p\u00e5 <b>+30&nbsp;% til +100&nbsp;%<\/b> af forbruget knyttet til gang. P\u00e5 en dag med 10&nbsp;000 skridt kan et Apple Watch vise 700&nbsp;kcal, hvor den reelle v\u00e6rdi er t\u00e6ttere p\u00e5 350&nbsp;kcal for samme profil.<\/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\">Konkret eksempel: sigtet kalorieunderskud p\u00e5 &minus;100&nbsp;kcal\/dag<\/p>\n  <p style=\"margin:8px 0 0;font-size:14px;color:#3D3D3F\">Dit ur viser 700&nbsp;kcal for 1 times gang (10&nbsp;000 skridt). Reel v\u00e6rdi: ~350&nbsp;kcal. Overvurdering: +350&nbsp;kcal\/dag. Ugens regnskab: +350&times;7 &minus; 700 = <b>+1&nbsp;750&nbsp;kcal. Du var i overskud.<\/b><\/p>\n<\/blockquote>\n<div class=\"body\">\n<p>Denne fejl kan \u00f8del\u00e6gge et kalorieunderskud fuldst\u00e6ndigt. Lean integrerer data fra dit ur via Apple Sundhed eller Health Connect, men <b>rekalibrerer dem p\u00e5 din reelle BMR<\/b>. Du f\u00e5r pr\u00e6cisionen fra dit urs sensor uden at overtage dets systematiske beregningssk\u00e6vhed.<\/p>\n<p>Se ogs\u00e5: <a href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\" style=\"color:var(--pink)\">BMR-s\u00f8jle: hvorfor fedtprocenten \u00e6ndrer alt for dit basalstofskifte<\/a>.<\/p>\n<\/div>\n\n<!-- 09. BODYSCAN IA -->\n<h2 class=\"sect\"><span class=\"num\">09 &middot; AI BodyScan<\/span>Den reelle fedtprocent: fundamentet for Leans NEAT-beregning<\/h2>\n<div class=\"body\">\n<p>For at NEAT kan beregnes p\u00e5 din reelle BMR, skal man f\u00f8rst kende din reelle BMR. Og til det skal man bruge din fedtprocent, ikke kun din v\u00e6gt. Det er her, Leans AI BodyScan kommer ind.<\/p>\n<p>De fleste apps beregner BMR ud fra totalv\u00e6gten (Harris-Benedict 1919, Mifflin-St Jeor 1990). Lean beregner din BMR p\u00e5 din <b>fedtfri masse estimeret via fedtprocent<\/b>, takket v\u00e6re en <b>mod&egrave;le propri&eacute;taire brevet&eacute;<\/b>. To personer p\u00e5 80&nbsp;kg med 12&nbsp;% og 22&nbsp;% fedtprocent har en BMR, der afviger med 200&nbsp;kcal om dagen. Tager du fejl af BMR, er din NEAT (og hele TDEE) forkert fra fundamentet.<\/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>AI BodyScan<\/b> : reel fedtprocent p\u00e5 5 sekunder, fra et foto<\/p>\n<\/div>\n<div class=\"body\">\n<p>Et foto, 5 sekunder, og Lean kender din fedtprocent pr\u00e6cist. Dette tal f\u00f8der direkte beregningen af din BMR via Leans patenterede egenudviklede model, som igen er grundlaget for beregningen af din NEAT. Det er den k\u00e6dearkitektur, som de andre apps ikke tilbyder.<\/p>\n<\/div>\n\n<!-- 10. COMMENT LEAN CALCULE -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; Lean &amp; NEAT<\/span>Beregning i realtid via skridtt\u00e6lleren<\/h2>\n<div class=\"body\">\n<p>Lean beregner din NEAT ud fra din skridtt\u00e6ller (Apple Sundhed p\u00e5 iOS, Health Connect p\u00e5 Android) og indekserer den p\u00e5 din komplette metaboliske profil. Hvert skridt t\u00e6lles og omregnes til energi ud fra din reelle kropssammens\u00e6tning.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Kontinuerlig skridtt\u00e6ller i baggrunden<\/div><p class=\"fd\">Lean l\u00e6ser dine skridt via Apple Sundhed (iOS) eller Health Connect (Android) i baggrunden. Du beh\u00f8ver ikke \u00e5bne appen, for at dine skridt t\u00e6lles.<\/p><\/div><div class=\"fc\">Sensor<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">NEAT opdateret hver time<\/div><p class=\"fd\">Din NEAT i Lean \u00e6ndrer sig i l\u00f8bet af dagen. Ved middagstid ser du dit reelle NEAT-forbrug fra formiddagen, indekseret p\u00e5 din aktuelle BMR.<\/p><\/div><div class=\"fc\">Realtid<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Manuel tilf\u00f8jelse af skridt<\/div><p class=\"fd\">Har du g\u00e5et uden din smartphone? Du kan tilf\u00f8je (eller fjerne) skridt manuelt i NEAT-sektionen i Lean via knappen \u00ab+\u00bb. De indg\u00e5r straks i din kaloriebalance.<\/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\">Fleksibilitet<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Apple Watch, Garmin, Fitbit<\/div><p class=\"fd\">Hvis dit ur er synkroniseret med Apple Sundhed (iOS) eller Health Connect (Android), bruger Lean dets skridtdata (mere pr\u00e6cise end smartphonen alene), mens forbruget rekalibreres p\u00e5 din reelle BMR.<\/p><\/div><div class=\"fc\">Integration<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Adaptivt kaloriem\u00e5l<\/div><p class=\"fd\">Lean justerer dit daglige m\u00e5l efter din reelle NEAT. Har du g\u00e5et 12&nbsp;000 skridt her til morgen, tager dit kaloriem\u00e5l om aftenen h\u00f8jde for dette ekstra forbrug.<\/p><\/div><div class=\"fc\">Live-balance<\/div><\/div>\n\n<!-- 11. TUTORIELS : ACTIVER LE PODOMETRE -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Vejledninger<\/span>Aktiv\u00e9r skridtt\u00e6lleren i Lean<\/h2>\n<div class=\"body\">\n<p>F\u00f8rst og fremmest skal Lean have adgang til dine skridtdata. Vejen er forskellig afh\u00e6ngigt af din smartphone. Officielle Lean-vejledninger: <a href=\"https:\/\/www.youtube.com\/shorts\/7-9Gk_3PTew\" target=\"_blank\" rel=\"noopener\">iPhone<\/a> &middot; <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: aktiv\u00e9r adgang til skridt i Lean<\/div><p class=\"fd\">\u00c5bn <b>Indstillinger<\/b> p\u00e5 din iPhone. Skriv \u00absundhed\u00bb eller \u00abhealth\u00bb i s\u00f8gefeltet \u00f8verst. Tryk p\u00e5 <b>Adgang til data og enheder<\/b>, derefter p\u00e5 <b>Lean<\/b> p\u00e5 listen. Kontroll\u00e9r, at <b>Antal skridt<\/b> er sat til.<\/p><\/div><div class=\"fc\">iOS<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Android: forbind Health Connect og dit m\u00e6rkes fitness-app<\/div><p class=\"fd\"><b>1. Download Health Connect<\/b> fra Play Store, \u00e5bn den, og g\u00e5 til <b>Apptilladelser &gt; Lean<\/b> og s\u00e6t kryds ved <b>Skridt<\/b>. <b>2. Download dit m\u00e6rkes fitness-app<\/b> : Google Fit (Google), Samsung Health (Samsung), Huawei Health (Huawei), Lifelog (Sony) eller dit m\u00e6rkes sundhedsapp. I den app skal du kontrollere, at skridtregistrering er aktiveret. <b>3. I Health Connect<\/b>skal du give denne fitness-app tilladelse til at dele \u00abSkridt\u00bb med l\u00e6se- og skriveadgang. <b>Kontrol<\/b> : Health Connect &gt; Data og adgang &gt; Aktivitet &gt; Skridt &gt; Se alle poster: der skal vises data (g\u00e5 et par skridt, hvis den er tom).<\/p><\/div><div class=\"fc\">Android<\/div><\/div>\n<div class=\"micro-cta\" style=\"margin-top:24px\">\n  Ressourcer: <a href=\"https:\/\/lean-app.com\/da\/calculateur-deficit-calorique\/\">Beregner for kalorieunderskud<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/calculateur-tdee\/\">Calculateur TDEE complet<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/metabolisme-de-base\/\">BMR-s\u00f8jle<\/a> &middot; <a href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">TDEE-s\u00f8jle<\/a>\n<\/div>\n\n<!-- 12. MET : MARCHE = NEAT PAS EAT -->\n<h2 class=\"sect\"><span class=\"num\">12 &middot; MET &amp; klassifikation<\/span>Hvorfor gang klassificeres som NEAT og ikke EAT<\/h2>\n<div class=\"body\">\n<p>Sp\u00f8rgsm\u00e5let dukker ofte op: er gang NEAT eller EAT? Svaret bygger p\u00e5 MET (Metabolic Equivalent of Task), enheden brugt i den videnskabelige litteratur til at klassificere fysiske aktiviteter.<\/p>\n<p>1 MET = energien brugt i siddende hvile. Gr\u00e6nsen NEAT\/EAT er sat ved <b>MET&nbsp;=&nbsp;3<\/b> : under er det NEAT; over er det EAT.<\/p>\n<p>Gang ligger p\u00e5 gr\u00e6nsen: langsom gang (&lt;&nbsp;4&nbsp;km\/t) er p\u00e5 MET&nbsp;&asymp;&nbsp;2,5-3; rask gang (&gt;&nbsp;6&nbsp;km\/t) stiger til MET&nbsp;4-5. I den videnskabelige litteratur klassificeres gang i normalt tempo langt overvejende som NEAT. Lean f\u00f8lger denne konvention.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>NEAT-aktiviteter (MET &lt; 3)<\/h4>\n    <div class=\"meta\">Estimeret dagligt forbrug for 8&nbsp;000 skridt\/dag<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Rolig gang<\/span><span class=\"v\">350&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>St\u00e5ende stilling<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Opvask, reng\u00f8ring<\/span><span class=\"v\">15&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Andre mikrobev\u00e6gelser<\/span><span class=\"v\">60&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>Samlet NEAT<\/span><span class=\"v\">~440&nbsp;kcal \/ dag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Gang udg\u00f8r cirka 80&nbsp;% af den samlede NEAT for en standardperson. Derfor baserer Lean hovedsageligt sin NEAT-m\u00e5ling p\u00e5 antallet af skridt.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>EAT-aktiviteter (MET &gt; 3)<\/h4>\n    <div class=\"meta\">Eksempler p\u00e5 struktureret sport klart over t\u00e6rsklen<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>L\u00f8b (8&nbsp;km\/t)<\/span><span class=\"v\">MET 8<\/span><\/div>\n      <div class=\"rw\"><span>Cykling (moderat)<\/span><span class=\"v\">MET 6<\/span><\/div>\n      <div class=\"rw\"><span>Styrketr\u00e6ning (mod. anstrengelse)<\/span><span class=\"v\">MET 4-5<\/span><\/div>\n      <div class=\"rw lean\"><span>Registreret i Lean<\/span><span class=\"v\">EAT-fanen<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Hvis du l\u00f8ber, og din skridtt\u00e6ller er aktiv, s\u00e5 v\u00e6lg i Lean \u00f8velserne \u00abNEAT inkluderet\u00bb for at undg\u00e5 at t\u00e6lle dine skridt dobbelt.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. STRATEGIES NEAT -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; NEAT-strategier<\/span>Jeg g\u00e5r mere, jeg spiser mere<\/h2>\n<div class=\"body\">\n<p>NEAT's grundprincip: hvert ekstra skridt \u00f8ger dit forbrug, hvilket \u00f8ger dit kaloriem\u00e5l. <b>Jeg g\u00e5r mere = jeg spiser mere.<\/b> Det er den gode byttehandel, som sportsud\u00f8vere i cut hurtigt forst\u00e5r: i stedet for at s\u00e6nke indtaget, s\u00e5 \u00f8g f\u00f8rst forbruget.<\/p>\n<p>NEAT's fordel frem for EAT: ingen restitution p\u00e5kr\u00e6vet, ingen skadesrisiko, ingen hormonel stress fra intensiv cardio. Her er de mest effektive h\u00e5ndtag.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+2&nbsp;000 skridt = +70&nbsp;kcal (det nyttige minimum)<\/div><p class=\"fd\">Indbyg 2 g\u00e5blokke p\u00e5 10 minutter i din dag. Om morgenen mellem to opgaver, om eftermiddagen f\u00f8r det n\u00e6ste m\u00f8de. 20 minutter, +2&nbsp;000 skridt, +70&nbsp;kcal uden at r\u00f8re dit tr\u00e6ningsprogram.<\/p><\/div><div class=\"fc\">Dagligt<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">St\u00e5ende skrivebord 3 t\/dag (+100 til 200&nbsp;kcal)<\/div><p class=\"fd\">At st\u00e5 op i 3 timer i stedet for at sidde forbr\u00e6nder ~150&nbsp;kcal ekstra. Skift mellem siddende\/st\u00e5ende hvert 30. minut er mere effektivt end \u00e9n lang st\u00e5ende blok.<\/p><\/div><div class=\"fc\">Kontor<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Cykel til og fra arbejde (+300 til 500&nbsp;kcal\/dag)<\/div><p class=\"fd\">En cykeltur p\u00e5 20 minutter tur-retur i moderat tempo t\u00e6ller som NEAT, hvis anstrengelsen holder sig under MET&nbsp;3. Over (sportscykling, h\u00f8j puls) er det EAT: logges separat i Lean.<\/p><\/div><div class=\"fc\">Transport<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Altid trapperne (+50 til 100&nbsp;kcal\/dag)<\/div><p class=\"fd\">At g\u00e5 10 etager op forbr\u00e6nder ~8&nbsp;kcal. 4 ture\/dag i en bygning p\u00e5 5 etager = 32&nbsp;kcal. Over 22 arbejdsdage = 700&nbsp;kcal den m\u00e5ned, uden et eneste ekstra tr\u00e6ningspas.<\/p><\/div><div class=\"fc\">Bygning<\/div><\/div>\n<div class=\"body\">\n<p>Pas p\u00e5 kompensationseffekten (Pontzer et al., 2021, PMID&nbsp;34385400): hvis du \u00f8ger din NEAT for hurtigt, kan din krop delvist reducere andre spontane forbrug. Den reelle stigning er ofte 60 til 70&nbsp;% af det teoretiske forbrug. Lean modellerer denne effekt i sin beregning af tilpasset TDEE.<\/p>\n<\/div>\n\n<!-- 14. NEAT LIVE DANS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">14 &middot; Live-NEAT<\/span>Skridt for skridt-opf\u00f8lgningen i Lean<\/h2>\n<div class=\"body\">\n<p>Forbrug-fanen i Lean detaljerer i realtid hver TDEE-komponent: BMR, NEAT, EAT, TEF. Den viste NEAT svarer til dine reelle skridt den dag, omregnet til kilokalorier p\u00e5 din komplette metaboliske profil.<\/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 i realtid, indekseret p\u00e5 din reelle BMR<\/div>\n\n<!-- 15. STRATEGIES PAR OBJECTIF -->\n<h2 class=\"sect\"><span class=\"num\">15 &middot; M\u00e5l<\/span>NEAT og strategi ved cut, bulk eller recomp<\/h2>\n<p>N\u00e5r din pr\u00e6cise NEAT er kendt, er den praktiske anvendelse direkte. Tre m\u00e5l, tre h\u00e5ndtag.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Cut (fedttab)<\/h4>\n    <div class=\"meta\">M\u00e5l: maksim\u00e9r NEAT uden overkompensation<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT-h\u00e5ndtag<\/span><span class=\"v\">+3&nbsp;000 skridt \/ dag<\/span><\/div>\n      <div class=\"rw\"><span>Fordel<\/span><span class=\"v\">Uden hormonel stress fra cardio<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean beregner<\/span><span class=\"v\">Pr\u00e6cis effekt p\u00e5 underskuddet<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">At maksimere NEAT er kongestrategien i cut. V\u00e6rkt\u00f8j: <a href=\"https:\/\/lean-app.com\/da\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">beregner for kalorieunderskud<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Bulk (muskelopbygning)<\/h4>\n    <div class=\"meta\">M\u00e5l: kontrolleret overskud, minimalt fedtoptag<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT-h\u00e5ndtag<\/span><span class=\"v\">Moderat (undermin\u00e9r ikke overskuddet)<\/span><\/div>\n      <div class=\"rw\"><span>Risiko<\/span><span class=\"v\">For h\u00f8j NEAT reducerer nettooverskuddet<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean viser<\/span><span class=\"v\">Nettooverskud efter reel NEAT<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">I bulk viser Lean det reelle overskud i realtid for at justere indtaget pr\u00e6cist.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomp (vedligehold + opbygning)<\/h4>\n    <div class=\"meta\">M\u00e5l: maksimal pr\u00e6cision p\u00e5 indtag og forbrug<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>NEAT-h\u00e5ndtag<\/span><span class=\"v\">Pr\u00e6cisionsv\u00e6rkt\u00f8j p\u00e5 kalorien<\/span><\/div>\n      <div class=\"rw\"><span>Fordel<\/span><span class=\"v\">Balance uden tiln\u00e6rmelse<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean beregner<\/span><span class=\"v\">Live-kaloriebalance<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Rekomposition kr\u00e6ver maksimal pr\u00e6cision. En NEAT kalibreret p\u00e5 din reelle BMR er en afg\u00f8rende fordel.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 16. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; Pyramiden<\/span>Leans Progressionspyramide<\/h2>\n<div class=\"body\">\n<p>Leans Progressionspyramide rangordner prioriteterne for at n\u00e5 dit kropsm\u00e5l. NEAT st\u00e5r p\u00e5 3. trin, efter vedholdenhed i kosten og det pr\u00e6cise kaloriem\u00e5l.<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Leans Progressionspyramide\">\n  <div class=\"level l1\"><span>Vedholdenhed<\/span><span class=\"k\">Bund<\/span><\/div>\n  <div class=\"level l2\"><span>Kaloriem\u00e5l (pr\u00e6cis TDEE)<\/span><span class=\"k\">Etage 2<\/span><\/div>\n  <div class=\"level l3\"><span>Skridt \/ daglig NEAT<\/span><span class=\"k\">Etage 3<\/span><\/div>\n  <div class=\"level l4\"><span>Makron\u00e6ringsstoffer<\/span><span class=\"k\">Top<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">Spring ikke trin over. En pr\u00e6cis TDEE p\u00e5 reel fedtprocent er etage 2. Men hvis du ikke logger din NEAT regelm\u00e6ssigt, \u00e6ndrer makroerne ingenting.<\/div>\n\n<!-- 17. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">17 &middot; FAQ<\/span>Alt du sp\u00f8rger dig selv om NEAT<\/h2>\n\n<details class=\"faq\"><summary>Hvad er forskellen mellem NEAT og EAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Den<b>EAT (Exercise Activity Thermogenesis)<\/b> d\u00e6kker dine strukturerede tr\u00e6ningspas (styrketr\u00e6ning, l\u00f8b, cykling). <b>NEAT<\/b> d\u00e6kker alle hverdagens \u00f8vrige aktiviteter: gang, reng\u00f8ring, gestik, trapper. Gr\u00e6nsen er ved MET&nbsp;=&nbsp;3: under er det NEAT, over er det EAT. Begge beregnes hver for sig i ligningen TDEE = BMR + NEAT + EAT + TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Hvorfor overvurderer mit Apple Watch mine kalorier&nbsp;?<\/summary><div class=\"faq-body\"><p>Apple Watch beregner dit forbrug ved gang uden adgang til din reelle BMR. Det anvender en generisk konstant ganget med din v\u00e6gt, uden hensyn til din kropssammens\u00e6tning. Resultat: en overvurdering p\u00e5 +30 til +100&nbsp;% afh\u00e6ngigt af profil. Lean rekalibrerer data fra dit ur p\u00e5 din fedtprocentbevidste BMR for at fjerne denne sk\u00e6vhed.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Hvordan p\u00e5virker NEAT mit kalorieunderskud&nbsp;?<\/summary><div class=\"faq-body\"><p>Direkte: reelt underskud = indtag &minus; (BMR + NEAT + EAT + TEF). Stiger din NEAT med 300&nbsp;kcal den dag, stiger din TDEE med 300&nbsp;kcal, og dit underskud bliver dybere. I Lean justeres det daglige kaloriem\u00e5l i realtid, efterh\u00e5nden som din NEAT vokser i l\u00f8bet af dagen.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Falder NEAT i kalorieunderskud&nbsp;?<\/summary><div class=\"faq-body\"><p>Ja, det er den metaboliske tilpasning. Ved langvarigt underskud reducerer kroppen ufrivilligt NEAT (mindre gestik, mindre lyst til at bev\u00e6ge sig). Rosenbaum et al. (2010) m\u00e5lte en reduktion p\u00e5 op til 150&nbsp;kcal\/dag ved alvorligt underskud. Lean modellerer den metaboliske tilpasning separat, som multiplikationskoefficient p\u00e5 BMR.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Hvor mange skridt om dagen for en optimal NEAT i cut&nbsp;?<\/summary><div class=\"faq-body\"><p>Data fra Levine og Healy peger p\u00e5 8&nbsp;000 til 12&nbsp;000 skridt\/dag som zonen for h\u00f8j NEAT uden overkompensation. I praksis skal du sigte efter et m\u00e5l, du kan holde 6 dage ud af 7. En base p\u00e5 10&nbsp;000 skridt er et klart og opn\u00e5eligt f\u00f8rste m\u00e5l. Lean viser det ugentlige gennemsnit af din NEAT for at hj\u00e6lpe dig med at kalibrere dette m\u00e5l.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Kan jeg spise mere, hvis jeg g\u00e5r mere&nbsp;?<\/summary><div class=\"faq-body\"><p>Ja, det er det centrale princip. Hvert ekstra skridt \u00f8ger din TDEE, hvilket \u00f8ger kaloriem\u00e5let beregnet af Lean. Formlen: <b>jeg g\u00e5r mere = jeg spiser mere<\/b>, mens du holder dig inden for dit m\u00e5l. I cut er det ofte at foretr\u00e6kke frem for at s\u00e6nke indtaget, fordi det begr\u00e6nser frustrationen omkring maden.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Hvilken sensor bruger Lean til NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Lean l\u00e6ser skridtene fra <b>Apple Sundhed<\/b> (iOS) eller <b>Health Connect<\/b> (Android, tjenesten, der erstatter Google Fit siden 2024). Accelerometeret i din smartphone eller dit smartur (Apple Watch, Garmin, Fitbit, Samsung Galaxy Watch) f\u00f8der disse platforme. Er dit ur synkroniseret, bruger Lean dets data, mens forbruget rekalibreres p\u00e5 din reelle BMR, ikke p\u00e5 urets interne konstant.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Hvad er fidgeting, og hvordan p\u00e5virker det NEAT&nbsp;?<\/summary><div class=\"faq-body\"><p>Le <em>fidgeting<\/em> betegner de ufrivillige mikrobev\u00e6gelser (vippe, gestikulere, trommme med fingrene). Levine (2005) viste, at meget \u00abfidgety\u00bb personer forbr\u00e6nder op til 350&nbsp;kcal mere om dagen ved identisk aktivitet. Adf\u00e6rden er stort set ubevidst, deraf vigtigheden af en NEAT m\u00e5lt via skridtt\u00e6ller frem for estimeret via statisk PAL.<\/p><\/div><\/details>\n\n<!-- 18. SOURCES -->\n<div class=\"sources\">\n  <h4>Sources scientifiques<\/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>Videnskab<\/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>Videnskab<\/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>Beregn din NEAT p\u00e5 din reelle fedtprocent<\/h3>\n  <p>Indbygget skridtt\u00e6ller. NEAT genberegnet hver time, indekseret p\u00e5 din reelle BMR. Patenteret egenudviklet model. Uden Apple Watch's generiske konstant eller MFP's fastl\u00e5ste PAL. 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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-v16 -->\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;\">\u00c0 lire aussi<\/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\/da\/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;\">M\u00e9tabolisme de base (BMR) : tout ce qu&rsquo;il faut savoir pour le calculer <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">D\u00e9finition, \u00e9quation TDEE, 4 formules historiques, pourquoi le bodyfat change tout.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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;\">D\u00e9pense \u00e9nerg\u00e9tique totale (TDEE) : la formule canonique BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comprends les 4 briques + l&rsquo;adaptation m\u00e9tabolique, sources scientifiques 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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: madens termiske effekt ud fra dine makroer <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">10% de TDEE en moyenne, 25% si haute prot. M\u00e9thode de calcul Lean.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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 : ta d\u00e9pense sportive vraie, s\u00e9ance par s\u00e9ance <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Les MET corrects, le pi\u00e8ge du double comptage, ce que Garmin et MyFitnessPal ratent.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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;\">Meilleures applications pour compter les calories en 2026 : 8 apps test\u00e9es <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\/da\/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;\">Calculateur NEAT : combien de calories br\u00fblent tes pas ? <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Tes pas r\u00e9els convertis en kcal sur ton profil mesur\u00e9. Z\u00e9ro case \u00e0 cocher.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Quelle alternative \u00e0 MyFitnessPal en 2026 ? 5 apps test\u00e9es <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comparatif honn\u00eate, pr\u00e9cision TDEE, ergonomie.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/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;\">Comment calculer ta vraie d\u00e9pense calorique : le guide complet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR sur bodyfat r\u00e9el, NEAT par pas, EAT par s\u00e9ance, TEF par macros, adaptation.<\/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 (Non-Exercise Activity Thermogenesis) - Lean<\/title>\n<meta name=\"description\" content=\"Le NEAT, c&#039;est tout ce que tu br\u00fbles hors sport : marche, posture, gestes. 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