{"id":1425,"date":"2026-05-24T15:29:31","date_gmt":"2026-05-24T15:29:31","guid":{"rendered":"https:\/\/lean-app.com\/?p=1425"},"modified":"2026-09-08T18:18:27","modified_gmt":"2026-09-08T18:18:27","slug":"lean-vs-noom","status":"publish","type":"post","link":"https:\/\/lean-app.com\/da\/lean-vs-noom\/","title":{"rendered":"Lean over for Noom: psykologisk coaching over for metabolisk pr\u00e6cision"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" fetchpriority=\"low\">\n\n\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js@4.4.4\/dist\/chart.umd.min.js\"><\/script>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chartjs-plugin-annotation@3.1.0\/dist\/chartjs-plugin-annotation.min.js\"><\/script>\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  --font-text:-apple-system,\"SF Pro Text\",system-ui,sans-serif;\n  --font-mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n}\n#lvm-shell *{box-sizing:border-box;-webkit-text-size-adjust:100%}\n#lvm-shell, #lvm-shell{margin:0;padding:0;background:var(--bg);color:var(--ink-2);font-family:var(--font-text);font-size:17px;line-height:1.7;-webkit-font-smoothing:antialiased}\n#lvm-shell ::selection{background:rgba(255,45,110,0.18);color:var(--ink)}\n#lvm-shell img{max-width:100%;display:block}\n#lvm-shell a{color:inherit}\n\n#lvm-shell .progress{position:fixed;top:0;left:0;right:0;height:2px;background:transparent;z-index:1000}\n#lvm-shell .progress > i{display:block;height:100%;width:100%;background:var(--pink);transform-origin:0 50%;transform:scaleX(0);transition:transform .05s linear}\n\n#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}\n#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px}\n#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}\n#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}\n#lvm-shell .nav-brand span{font-family:var(--font-display);font-weight:600;font-size:18px;letter-spacing:-.01em}\n#lvm-shell .nav-spacer{flex:1}\n#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}\n#lvm-shell .nav-link:hover{color:var(--ink)}\n#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}\n#lvm-shell .nav-stores a{display:block;line-height:0}\n#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}\n#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}\n\n#lvm-shell .wrap{max-width:760px;margin:0 auto;padding:0 28px}\n\n#lvm-shell .hero{padding:54px 0 0}\n#lvm-shell .crumb{font-size:13px;color:var(--muted);margin-bottom:18px}\n#lvm-shell .crumb a{text-decoration:none;color:var(--muted)}\n#lvm-shell .crumb a:hover{color:var(--ink)}\n#lvm-shell .eyebrow{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink);margin-bottom:18px}\n#lvm-shell h1{font-family:var(--font-display);font-weight:600;font-size:72px;line-height:1.0;letter-spacing:-.04em;color:var(--ink);margin:0 0 22px}\n#lvm-shell h1 .alt{display:block;font-weight:500;color:var(--muted);font-size:.66em;line-height:1.15;margin-top:14px;letter-spacing:-.03em}\n#lvm-shell .dek{font-family:var(--font-display);font-size:24px;line-height:1.4;font-weight:400;color:var(--ink-2);letter-spacing:-.015em;margin:0 0 22px;max-width:680px}\n\n#lvm-shell .byline{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .byline .by-logo{width:26px;height:26px;border-radius:6px;object-fit:cover;flex-shrink:0;background:transparent;border:0}\n#lvm-shell .byline strong{color:var(--ink);font-weight:600;font-family:var(--font-display)}\n\n#lvm-shell .hero-stores{display:flex;gap:10px;margin:22px 0 18px;flex-wrap:wrap;align-items:center}\n#lvm-shell .hero-stores a{display:block;line-height:0;transition:transform .15s}\n#lvm-shell .hero-stores a:hover{transform:translateY(-2px)}\n#lvm-shell .hero-stores img{height:46px;width:auto;border-radius:9px}\n#lvm-shell .hero-stores .or{font-size:13px;color:var(--muted)}\n\n#lvm-shell .hero-bottom{display:grid;grid-template-columns:1.3fr 1fr;gap:48px;align-items:center;margin:38px 0 60px;padding-top:28px;border-top:1px solid var(--rule-soft)}\n#lvm-shell .hero-lead{font-family:var(--font-display);font-size:21px;line-height:1.5;color:var(--ink-2);font-weight:400}\n\n#lvm-shell .phone-wrap{display:flex;justify-content:center}\n#lvm-shell .phone{\n  position:relative;\n  width:280px;\n  background:linear-gradient(145deg,#2a2a2a,#0e0e0e);\n  border-radius:42px;\n  padding:5px;\n  border:1.5px solid rgba(255,255,255,.07);\n  box-shadow:0 30px 60px rgba(0,0,0,.18), 0 2px 6px rgba(0,0,0,.08);\n}\n#lvm-shell .phone .notch{\n  position:absolute;top:0;left:50%;transform:translateX(-50%);\n  width:96px;height:24px;background:#0a0a0a;border-radius:0 0 16px 16px;z-index:10;\n}\n#lvm-shell .phone-screen{\n  position:relative;\n  border-radius:34px;overflow:hidden;\n  background:#FAF0E6;\n  aspect-ratio:9\/19.5;\n}\n#lvm-shell .phone-screen img{\n  width:100%;height:100%;object-fit:cover;display:block;\n  transition:opacity .28s ease;\n}\n#lvm-shell .phone-zones{position:absolute;inset:0;z-index:15;pointer-events:none}\n#lvm-shell .phone-zones .z{position:absolute;left:4%;right:4%;cursor:pointer;background:transparent;border:0;padding:0;pointer-events:auto}\n#lvm-shell .phone-zones .z:focus-visible{outline:2px solid var(--pink);outline-offset:-4px;border-radius:6px}\n#lvm-shell .phone-navbar{position:absolute;left:0;right:0;bottom:0;height:9%;z-index:16;display:grid;grid-template-columns:repeat(4,1fr)}\n#lvm-shell .phone-navbar button{background:transparent;border:0;padding:0;cursor:pointer}\n#lvm-shell .phone-navbar button:focus-visible{outline:2px solid var(--pink);outline-offset:-3px;border-radius:6px}\n#lvm-shell .phone-back{\n  position:absolute;top:10px;left:10px;z-index:20;\n  width:30px;height:30px;border-radius:50%;\n  border:0;background:rgba(255,255,255,.78);backdrop-filter:blur(8px);\n  color:var(--ink);font-size:18px;font-weight:600;line-height:1;cursor:pointer;\n  display:none;align-items:center;justify-content:center;\n  box-shadow:0 2px 6px rgba(0,0,0,.12);\n}\n#lvm-shell .phone-back.on{display:flex}\n\n#lvm-shell .phone-cap{margin-top:14px;text-align:center;font-size:12px;color:var(--muted);font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .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 h3{font-family:var(--font-display);font-weight:600;font-size:32px;line-height:1.15;letter-spacing:-.025em;color:var(--ink);margin:36px 0 16px}\n#lvm-shell h4{font-family:var(--font-display);font-weight:500;font-size:20px;line-height:1.3;letter-spacing:-.015em;color:var(--ink);margin:24px 0 10px}\n#lvm-shell p{margin:0 0 22px;color:var(--ink-2)}\n#lvm-shell strong{color:var(--ink);font-weight:600}\n#lvm-shell ul, #lvm-shell ol{margin:0 0 22px;padding-left:22px;color:var(--ink-2)}\n#lvm-shell li{margin-bottom:8px}\n#lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\n#lvm-shell a.inline:hover{text-decoration-thickness:2px}\n\n#lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\n#lvm-shell .statement .num{font-family:var(--font-display);font-size:60px;font-weight:600;line-height:1;letter-spacing:-.04em;color:var(--pink);margin-bottom:14px}\n#lvm-shell .statement .lbl{font-family:var(--font-display);font-size:23px;line-height:1.35;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n\n#lvm-shell .fig{margin:32px 0 18px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 22px 20px;position:relative;overflow:hidden}\n#lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\n#lvm-shell .fig-head .l{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .fig-head .r{font-family:var(--font-mono);font-size:11px;font-weight:600;color:var(--ink);text-transform:uppercase;letter-spacing:.08em}\n#lvm-shell .fig-body{position:relative}\n#lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .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}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1425 #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-1425 #lvm-shell .wrap,\nbody.postid-1425 #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-1425 #lvm-shell .wrap,\n  body.postid-1425 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1425 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1425 #lvm-shell *{max-width:100%}\nbody.postid-1425 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1425 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1425 #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-1425 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1425 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1425 #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-1425 #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-1425 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1425 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1425 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1425 #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-1425 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1425 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1425 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1425 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1425 #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-1425 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1425 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1425 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1425 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1425 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1425 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1425 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1425 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1425 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1425 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1425 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1425 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1425 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1425 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1425 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1425 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1425 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1425 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1425 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1425 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1425 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1425 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1425 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"NOOM\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF6E5E!important;\n  }\n  body.postid-1425 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1425 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1425 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1425 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1425 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1425 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1425 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1425 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1425 #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-1425 #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-1425 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1425 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1425 #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-1425 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1425 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1425 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1425 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1425 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1425 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1425 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/da\/\" aria-label=\"Lean forside\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">TDEE-beregner<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download i App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilg\u00e6ngelig p\u00e5 Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/da\/\">Hjem<\/a> &nbsp;\/&nbsp; Lean vs Noom<\/div>\n  <div class=\"eyebrow\">Sammenligning &middot; Ern\u00e6ring &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean over for Noom.\n    <span class=\"alt\">Psykologisk coaching over for metabolisk pr\u00e6cision.<\/span>\n  <\/h1>\n  <p class=\"dek\">Noom s\u00e6lger adf\u00e6rdscoaching til at \u00e6ndre dine vaner. Lean ser dit reelle forbrug. To l\u00f8fter, der ikke spiller p\u00e5 samme bane.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; L\u00e6setid 12&nbsp;min &middot; Opdateret 24. maj 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" 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\">Gratis download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Noom er kendt for sin lange og personlige tilmeldingsquiz, sine daglige lektioner i madpsykologi, sin klassifikation af f\u00f8devarer i gr\u00f8n\/gul\/r\u00f8d og adgangen til en menneskelig coach. En reel styrke for vedholdenhed og arbejdet med vaner. Men dens TDEE-formel er stadig Mifflin-St Jeor 1990, plus en statisk aktivitetsfaktor, du krydser af \u00e9n enkelt gang i tilmeldingsquizzen. Uden reel fedtprocent m\u00e5lt i appen, uden metabolisk tilpasning. Over 3 m\u00e5neders seri\u00f8st cut vokser forskellen.\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>for at udforske appen<\/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=\"Oversigt over Lean-appen med drilldown af TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbage\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversigt, Forbrug-fanen\"><\/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=\"BMR-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversigt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbrug-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversigt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/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\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Hurtigt svar<\/div>\n    <p>Noom beregner din TDEE med Mifflin-St Jeor 1990 (uden fedtprocent m\u00e5lt i appen) og en statisk aktivitetsfaktor valgt under tilmeldingsquizzen. Nooms reelle styrke ligger et andet sted: en personlig quiz, der skaber et st\u00e6rkt indledende engagement, daglige lektioner i madpsykologi, en gr\u00f8n\/gul\/r\u00f8d-klassifikation af f\u00f8devarer og adgang til en menneskelig coach, der arbejder med vedholdenheden. Lean v\u00e6lger en anden vej: at genberegne hver TDEE-komponent (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi brugt i hvile. Hos Lean beregnet p\u00e5 den reelle fedtfri masse via AI BodyScan.<\/span><\/span> p\u00e5 reel fedtprocent via en patenteret egenudviklet model, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Forbrug fra skridt og daglige aktiviteter uden for sport.<\/span><\/span> per skridt, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Forbrug fra tr\u00e6ningspas, beregnet via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi brugt p\u00e5 ford\u00f8jelsen. Afh\u00e6nger af de indtagne makroer.<\/span><\/span> fra makroer) og modulere BMR med den metaboliske tilpasning kontinuerligt, uden koefficient at v\u00e6lge.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; Konstateringen<\/span><\/div>\n  <h2 id=\"constat\">Noom s\u00e6lger coaching, ikke din metaboliske tilpasning<\/h2>\n  <p>L\u00e6ser du dette, har du sandsynligvis allerede installeret Noom. Du har taget den lange tilmeldingsquiz, de 20 minutters meget personlige sp\u00f8rgsm\u00e5l om din historie med v\u00e6gten, dine blokeringer, dine f\u00f8lelser, dine vaner. Du f\u00f8lte dig forst\u00e5et. Du indtastede din v\u00e6gt, din h\u00f8jde, din alder, dit k\u00f8n og valgte dit aktivitetsniveau p\u00e5 en statisk liste. Appen viste dig et kaloriem\u00e5l, lad os sige 1&nbsp;500&nbsp;kcal for at tabe dig.<\/p>\n  <p>Du fulgte de daglige lektioner p\u00e5 5 til 10 minutter om madpsykologi. Du klassificerede dine m\u00e5ltider i gr\u00f8n, gul, r\u00f8d. Du skrev med din menneskelige coach p\u00e5 de sv\u00e6re dage. De f\u00f8rste 6 uger virker det. Du taber dig. Du er glad. S\u00e5 omkring uge 8 fryser v\u00e6gten. Du strammer skruen. Du g\u00e5r ned til 1&nbsp;350&nbsp;kcal. Igen rykker intet sig.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 til &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">m\u00e5lt fald i TDEE efter 4 til 6 ugers underskud p\u00e5 &minus;500&nbsp;kcal\/dag. Noom opdager det ikke. Dit kaloriem\u00e5l forbliver frosset p\u00e5 den aktivitetsfaktor, du krydsede af i tilmeldingsquizzen for 100&nbsp;dage siden.<\/div>\n  <\/div>\n\n  <p>Lad os sige, at Noom viser dig en TDEE p\u00e5 2&nbsp;000&nbsp;kcal. Du spiser 1&nbsp;500 (teoretisk underskud p\u00e5 500&nbsp;kcal). Men i virkeligheden er din <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">TDEE faldet til 1&nbsp;700&nbsp;kcal<\/a> p\u00e5 grund af den metaboliske tilpasning. Du er kun i 200&nbsp;kcal reelt underskud, ikke 500. Tabet bremser drastisk. Ingen daglig Noom-lektion kan rette det, fordi problemet ikke sidder i dit hoved, det sidder i ligningen.<\/p>\n  <p>Nooms l\u00f8fte er klart og holdes p\u00e5 adf\u00e6rdsdelen: du f\u00f8ler dig fulgt, du arbejder med dine f\u00f8lelsesm\u00e6ssige triggere, du l\u00e6rer at klassificere kvaliteten af dine valg. Det er v\u00e6rdifuldt for vedholdenheden. Det, Noom ikke g\u00f8r, er at <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">genberegne dit forbrug<\/a> i takt med ugerne i underskud. Og det er pr\u00e6cis der, l\u00f8ftet \u00abkalorietracker\u00bb stopper, selv om det er det h\u00e5ndtag, der f\u00e5r dig til at tabe dig.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem 1<\/span><\/div>\n  <h2 id=\"p1\">BMR-formlen fra 1990, uden fedtprocent m\u00e5lt i appen<\/h2>\n  <p>Bag de daglige lektioner og klassifikationen af f\u00f8devarer skal Noom stadig s\u00e6tte et tal&nbsp;: dit basalstofskifte, energien forbr\u00e6ndt i hvile. Den f\u00e5r det med Mifflin-St Jeor-ligningen, den, som langt de fleste forbruger-trackere bruger.<\/p>\n  <p>Mifflin-St Jeor er fra 1990. P\u00e5 papiret er det et fremskridt&nbsp;: 498 fors\u00f8gspersoner, indirekte kalorimetri, en mere repr\u00e6sentativ population end arbejderne fra 1919. Noom anvender den som den er, uden variant.<\/p>\n  <p>Visse konkurrenter tilbyder i det mindste en udvej, Katch-McArdle-ligningen, der arbejder p\u00e5 den fedtfri masse, hvis du indtaster din fedtprocent. Noom tilbyder ikke det tilvalg&nbsp;: intet fedtprocentfelt, ingen alternativ beregning. Coachingen bygger alts\u00e5 p\u00e5 et estimat, som intet kommer og retter.<\/p>\n  <p>Fremskridtet fra 1990 over 1919 er reelt, men marginalt, for den grundl\u00e6ggende fejl rykker sig ikke&nbsp;: ligningen kender kun din v\u00e6gt. Hverken din fedtprocent eller din fedtfri masse.<\/p>\n  <p>Men fedtmassen bruger meget lidt energi i hvile. Det er organerne og musklerne, der forbruger&nbsp;: leveren, hjernen, hjertet, nyrerne. To kroppe med samme v\u00e6gt og forskellig sammens\u00e6tning har alts\u00e5 ikke samme stofskifte.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) satte Mifflin-St Jeor op mod referencemetoden indirekte kalorimetri&nbsp;: 87&nbsp;% pr\u00e6cision hos ikke-overv\u00e6gtige fors\u00f8gspersoner, men kun 68&nbsp;% hos overv\u00e6gtige, med afvigelser p\u00e5 op til 330&nbsp;kcal om dagen.<\/p>\n\n  <p style=\"margin-bottom:8px\"><strong>Eksempel i tal.<\/strong> Kvinde p\u00e5 1,65 m, 85&nbsp;kg, 38&nbsp;% fedtprocent&nbsp;:<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartBMR\" aria-label=\"BMR-sammenligning Mifflin-St Jeor 1670 kcal vs Leans patenterede egenudviklede model 1340 kcal, forskel p\u00e5 330 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Estimeret BMR<\/strong> for en kvinde p\u00e5 1,65 m, 85&nbsp;kg, 38&nbsp;% fedtprocent. Leans patenterede egenudviklede model tager h\u00f8jde for den fedtfri masse. Mifflin-St Jeor (Noom som standard, uden fedtfri masse-tilvalg) g\u00f8r ikke. Forskel p\u00e5 330&nbsp;kcal, svarende til et helt let m\u00e5ltid.<\/p>\n  <\/div>\n\n  <p>330&nbsp;kcal fejl er forskellen mellem et underskud, der virker, og et uforklarligt plateau. Ingen adf\u00e6rdsst\u00f8tte, uanset hvor god, indhenter et kaloriem\u00e5l, der er forkert fra starten&nbsp;: den g\u00f8r dig bare mere flittig p\u00e5 det forkerte m\u00e5l.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Reel fedtprocent<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">forskel mellem to kvinder p\u00e5 75&nbsp;kg, den ene med 22&nbsp;% fedtprocent (BMR 1&nbsp;650), den anden med 38&nbsp;% (BMR 1&nbsp;250). Noom giver dem samme tal, uden fedtfri masse-tilvalg.<\/div>\n  <\/div>\n\n  <p>Konklusionen er aritmetisk&nbsp;: en app, der kun kender din v\u00e6gt, din h\u00f8jde, din alder og dit k\u00f8n, kan ikke individualisere dit stofskifte. Den mangler den variabel, der t\u00e6ller.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problem 2<\/span><\/div>\n  <h2 id=\"p2\">Aktivitetsfaktoren, valgt \u00e9n gang for alle<\/h2>\n  <p>Det er det led, coaching ikke kan kompensere for.<\/p>\n  <p>N\u00e5r basalstofskiftet er estimeret, skal Noom udlede dit samlede forbrug af det&nbsp;: BMR plus skridt, hverdagens aktiviteter, tr\u00e6ningspas og ford\u00f8jelse.<\/p>\n  <p>Metoden rummes i \u00e9t sp\u00f8rgsm\u00e5l i tilmeldingssp\u00f8rgeskemaet&nbsp;: v\u00e6lg dit aktivitetsniveau p\u00e5 en liste. Denne koefficient hedder PAL, for Physical Activity Level.<\/p>\n  <ul>\n    <li>Stillesiddende (PAL 1,25): kontor, lidt gang<\/li>\n    <li>Let aktiv (PAL 1,4): lejlighedsvis gang, lidt sport<\/li>\n    <li>Aktiv (PAL 1,6): regelm\u00e6ssig gang, sport 3 til 5 gange om ugen<\/li>\n    <li>Meget aktiv (PAL 1,8): intens sport n\u00e6sten dagligt eller fysisk arbejde<\/li>\n  <\/ul>\n  <p>BMR ganges derefter med det tal. Det er hele mekanismen bag dit daglige m\u00e5l&nbsp;: en boks krydset af den f\u00f8rste dag, aldrig genovervejet siden.<\/p>\n  <p>Tiln\u00e6rmelsen er grov. Mellem en s\u00f8ndag p\u00e5 sofaen og en dag st\u00e5ende og g\u00e5ende overstiger den reelle forskel langt det, en enkelt koefficient kan repr\u00e6sentere.<\/p>\n  <p>Noom synkroniserer korrekt med Apple Health og Google Fit og henter dine skridt. En kaloriebonus kan l\u00e6gges til, n\u00e5r et pas opdages. Men grundlaget for beregningen er stadig multiplikatoren valgt ved tilmeldingen.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 reelle dage<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartNEAT\" aria-label=\"Daglig variation i kalorieforbruget over 7 dage, mod 2000 kcal fast if\u00f8lge Noom\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reelt forbrug<\/strong> m\u00e5lt over 7&nbsp;dage for en kvindelig Lean-bruger. Den gr\u00e5 linje er det, Noom viste (2&nbsp;000&nbsp;kcal fast, PAL Aktiv \u00d7 BMR). De lyser\u00f8de annotationer viser, hvorfor hver dag bev\u00e6ger sig.<\/p>\n  <\/div>\n\n  <p>Din aktivitet passer ikke i en boks. Du kan v\u00e6re meget aktiv den uge, hvor du har mange rejser, og stillesiddende den, hvor du arbejder hjemmefra.<\/p>\n  <p>Hvilken boks skal man s\u00e5 krydse af&nbsp;? Ingen er rigtig, og den viste TDEE forbliver varigt forskudt fra virkeligheden.<\/p>\n  <p>Det er den centrale pointe&nbsp;: selv med en moderne stofskifteligning er en statisk PAL nok til at forvride helheden. Man udleder ikke NEAT, EAT og TEF af \u00e9n enkelt multiplikator.<\/p>\n  <p>Et stofskifte estimeret uden m\u00e5ling af kropssammens\u00e6tning, plus et aktivitetsforbrug tiln\u00e6rmet med en fastl\u00e5st koefficient&nbsp;: chancerne for, at det endelige m\u00e5l er rigtigt, er sm\u00e5.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Se din reelle TDEE, opdelt i BMR + NEAT + EAT + TEF. Gratis download.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Den metaboliske tilpasning, aldrig modelleret<\/h2>\n  <p>Det er den blinde vinkel, som hverken de daglige lektioner eller coachene d\u00e6kker.<\/p>\n  <p>Ved langvarigt underskud konstaterer din krop, at den f\u00e5r mindre energi, og reducerer sit forbrug. Som en telefon, der g\u00e5r i sparetilstand&nbsp;: alt k\u00f8rer stadig, men i slowmotion.<\/p>\n  <p>Det er den metaboliske tilpasning, og litteraturen er konstant&nbsp;: M\u00fcller 2015 (PubMed 26399868, genanalyse af Minnesota-studiet), Doucet 2001 om langvarigt underskud, Nunes 2020 (PMC7484122). De publicerede intervaller g\u00e5r fra 5 til 25&nbsp;% af basalstofskiftet.<\/p>\n  <ul>\n    <li>Underskud p\u00e5 &minus;250&nbsp;kcal om dagen i 2 til 8 uger: tilpasning p\u00e5 <strong>5 til 10&nbsp;%<\/strong> (TDEE falder til 90-95&nbsp;% af udgangsniveauet)<\/li>\n    <li>Underskud p\u00e5 &minus;500&nbsp;kcal om dagen: <strong>10 til 15&nbsp;%<\/strong> tilpasning (TDEE falder til 85-90&nbsp;%)<\/li>\n    <li>Underskud p\u00e5 &minus;750&nbsp;kcal om dagen: <strong>15 til 25&nbsp;%<\/strong> tilpasning (TDEE falder til 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-konvention&nbsp;: 100&nbsp;% betyder et optimalt stofskifte, 90&nbsp;% en tilpasning p\u00e5 10&nbsp;%. Og da NEAT, EAT og TEF alle beregnes ud fra BMR, er det hele TDEE, der flytter sig.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 uger i underskud<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartAdapt\" aria-label=\"TDEE, der falder fra 2000 til 1720 kcal over 8 uger, mod 2000 fast if\u00f8lge Noom\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reel TDEE<\/strong> over 8 ugers underskud p\u00e5 &minus;500&nbsp;kcal\/dag. Den lyser\u00f8de kurve falder. Noom-linjen forbliver flad. I uge 6 er du allerede p\u00e5 vedligehold. Uden at have \u00e6ndret noget.<\/p>\n  <\/div>\n\n  <p>Et eksempel i tal&nbsp;: du sigter mod et underskud p\u00e5 25&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;000&nbsp;kcal, alts\u00e5 1&nbsp;500&nbsp;kcal om dagen. Din krop tilpasser sig med 14&nbsp;%, din reelle TDEE falder til 1&nbsp;720. Du har kun 220&nbsp;kcal underskud tilbage&nbsp;: tabet stopper, uden at du har \u00e6ndret noget som helst.<\/p>\n  <p>Det, der g\u00f8r f\u00e6nomenet frygtindgydende, er dets langsomhed. De f\u00f8rste uger virker, du er sikker, du forts\u00e6tter. Tilpasningen akkumuleres i stilhed indtil den dag, hvor v\u00e6gten fryser.<\/p>\n  <p>Det er pr\u00e6cis det \u00f8jeblik, hvor adf\u00e6rdsst\u00f8tte vender sig mod dig. Coachen forklarer dig, at plateauet er normalt, at du skal holde ud, gennemg\u00e5 dine vaner. Mens problemet hverken er din disciplin eller din motivation&nbsp;: det er m\u00e5ltallet, der har flyttet sig, og ingen har m\u00e5lt det.<\/p>\n  <p>Noom modellerer ikke dette f\u00e6nomen. Dit kaloriem\u00e5l forbliver frosset, s\u00e5 l\u00e6nge du ikke opdaterer din v\u00e6gt manuelt. Du kan f\u00f8lge alle lektionerne og klassificere hver f\u00f8devare&nbsp;: er m\u00e5let forkert, kan metoden ikke indhente dig.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-l\u00f8sningen<\/span><\/div>\n  <h2 id=\"solution\">S\u00e5dan l\u00f8ser Lean hvert af de 3 problemer<\/h2>\n  <p>Noom og Lean spiller ikke p\u00e5 samme bane. Noom satser p\u00e5 adf\u00e6rdspsykologi&nbsp;: daglige lektioner, menneskelige coaches, klassifikation af f\u00f8devarer. Det er sammenh\u00e6ngende, og for visse profiler er det pr\u00e6cis det, der skal til. Men adf\u00e6rdsst\u00f8tte lagt oven p\u00e5 et forkert kaloriem\u00e5l er stadig st\u00f8tte mod det forkerte m\u00e5l. Lean arbejder med den anden halvdel af problemet&nbsp;: at g\u00f8re det tal rigtigt ved at m\u00e5le hver TDEE-komponent (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) plus den metaboliske tilpasning. Her er hvordan.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Trin 1<strong>AI BodyScan<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Trin 2<strong>BMR genberegnet<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR p\u00e5 reel fedtprocent<\/div>\n      <h3>Patenteret egenudviklet model, baseret p\u00e5 fedtfri masse<\/h3>\n      <p>Nooms coaching tager udgangspunkt i et kaloriem\u00e5l beregnet p\u00e5 din v\u00e6gt. Lean tager udgangspunkt i din <strong>fedtfri masse<\/strong>, fordi det er den, der forbruger i hvile&nbsp;: ved samme v\u00e6gt har to personer ikke samme stofskifte. Men man skal kende sin fedtprocent uden at g\u00e5 via en DEXA p\u00e5 klinik.<\/p>\n      <p>Deraf <strong>AI BodyScan<\/strong>&nbsp;: et foto, analyseret af en model tr\u00e6net p\u00e5 en bank af DEXA-scanninger, og din fedtprocent vises p\u00e5 f\u00e5 sekunder. Gentaget hver uge opdaterer den dit stofskifte automatisk. Ingen menneskelig coach kan levere den m\u00e5ling med den frekvens.<\/p>\n      <p>Farvel til hudfoldsm\u00e5leren, impedansv\u00e6gten og dens udsving efter hydrering, DEXA og dens pris. Et foto om ugen er nok.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Ingen aktivitetskoefficient<\/div>\n      <h3>NEAT, EAT, TEF beregnet hver for sig<\/h3>\n      <p><strong>NEAT.<\/strong> Dine reelle skridt kommer via HealthKit (iOS) eller Google Fit (Android). Hvor et coachingprogram beder dig beskrive dit aktivitetsniveau, l\u00e6ser Lean din telefons accelerometre og omregner disse skridt til kalorier efter dit stofskifte. Forskellen mellem en dag med 4&nbsp;000 skridt og en med 14&nbsp;000 ses straks i dit m\u00e5l for dagen.<\/p>\n      <p><strong>EAT.<\/strong> Du v\u00e6lger din sport, og Lean anvender den tilsvarende MET p\u00e5 din reelle anstrengelsestid. En times styrketr\u00e6ning med sine pauser koster ikke en times kontinuerligt l\u00f8b&nbsp;: at t\u00e6lle dem ens forvrider regnskabet med flere hundrede kcal om ugen.<\/p>\n      <p><strong>TEF.<\/strong> Ford\u00f8jelsen bruger energi, og ikke til samme takst afh\u00e6ngigt af makroerne&nbsp;: 20 til 30&nbsp;% for protein, 5 til 10&nbsp;% for kulhydrater, 1 til 3&nbsp;% for fedt. Lean beregner denne post p\u00e5 det, du reelt har spist, i stedet for den faste sats p\u00e5 10&nbsp;%, der anvendes alle andre steder.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode<strong>Auto-tilpasning<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Automatisk metabolisk tilpasning<\/div>\n      <h3>En verdensnyhed i en forbruger-app<\/h3>\n      <p><strong>Den metaboliske tilpasning.<\/strong> Det er den blinde vinkel i ethvert adf\u00e6rdsprogram&nbsp;: efter nogle ugers underskud bremser dit stofskifte, og ingen motivation kompenserer for et kaloriem\u00e5l, der er blevet forkert. Lean justerer din TDEE nedad efter de publicerede intervaller (M\u00fcller 2015, Doucet 2001), uge efter uge.<\/p>\n      <p>Ud over 10 til 15&nbsp;% tilpasning kan appen anbefale en tilbagevenden til vedligehold for at s\u00e6tte gang i stofskiftet igen, f\u00f8r du forts\u00e6tter. Det er det, en forbereder g\u00f8r, bortset fra at Lean beregner det p\u00e5 dine data.<\/p>\n      <p>Intet aktivitetsniveau at erkl\u00e6re, ingen boks krydset af \u00e9n gang for alle. Hver byggesten m\u00e5les, hver uge.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Sammenligningstabel<\/span><\/div>\n  <h2 id=\"tab\">Lean over for Noom, kriterium for kriterium<\/h2>\n  <p>\u00c6rlig gennemgang af hver apps styrker og svagheder. Intet kriterium handler om prisen.<\/p>\n\n  <div class=\"table\" role=\"table\" aria-label=\"Sammenligning Lean over for Noom\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Kriterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-noom-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Noom<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formel<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Patenteret egenudviklet model (fedtfri masse)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, uden fedtfri masse-tilvalg<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tager h\u00f8jde for fedtprocent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, m\u00e5lt i appen<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej, ingen indtastning af fedtprocent mulig<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e5ling af fedtprocent i appen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (skridt, aktivitet uden for sport)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet p\u00e5 reelle skridt hver dag<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> HealthKit-synk, kalorie-till\u00e6g for tr\u00e6ning, men uden TDEE-genberegning<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (tr\u00e6ningsforbrug)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Enkelt sportsvalg, standard \u00f8velsesbase<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (ford\u00f8jelse)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet efter makroer, integreret i TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej, makroer vist uden TEF-beregning<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolisk tilpasning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatisk, uge for uge<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoefficient at v\u00e6lge<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nej, beregnet p\u00e5 reelle data<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ja, statisk niveau valgt via tilmeldingsquizzen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoscanning af en ret<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, ubegr\u00e6nset<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nej, manuel indtastning eller stregkode<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Stregkodescanning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">F\u00f8devaredatabase<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, kurateret<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Egen base + gr\u00f8n\/gul\/r\u00f8d-klassifikation<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Anbefaling af kalorieunderskud<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Tilpasset den reelle TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fast m\u00e5l, manuel genberegning p\u00e5kr\u00e6vet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Menneskelig coaching og adf\u00e6rdsterapi<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Uden for scope, fokus p\u00e5 TDEE-beregning<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Menneskelige coaches, grupper, daglige lektioner<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Klassifikation af f\u00f8devarer i gr\u00f8n\/gul\/r\u00f8d<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Uden for scope<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> P\u00e6dagogisk reference for det brede publikum<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-d\u00e6kning og lokalisering<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> EN, ES, DE og andre, grundlagt i NYC 2008<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Omd\u00f8mme og publikumsst\u00f8rrelse<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4.7\/5, 10&nbsp;000+ brugere, ung fransk app<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4.5\/5, 50M+ downloads, publikum kvinder 35-55<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Forretningsmodel<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, 7 dages gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Betalt abonnement, kort pr\u00f8veperiode<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder til at tracke et m\u00e5ltid<\/h2>\n  <p>Et coachingprogram holder p\u00e5 sigt, hvis den daglige handling er enkel. Det er pr\u00e6cis Leans satsning p\u00e5 tracking&nbsp;: tre m\u00e5der at registrere et m\u00e5ltid p\u00e5, s\u00e5 ingen situation bliver en undskyldning for at give op.<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 2<strong>Stregkode<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 3<strong>AI-fotoscanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>S\u00f8gning i databasen.<\/strong> Kurateret base, USDA + OpenFoodFacts. Ingen community-st\u00f8j, ingen \u00abStegt kylling\u00bb indtastet 47 gange af 47 forskellige brugere med 47 forskellige v\u00e6rdier.<\/li>\n    <li><strong>Stregkodescanning.<\/strong> Standard. Du scanner din pastapakke, du f\u00e5r makroerne.<\/li>\n    <li><strong>AI-fotoscanning af en ret.<\/strong> Du tager et foto af din tallerken, AI'en genkender f\u00f8devarerne, du f\u00e5r kalorier og makroer per f\u00f8devare. Noom tilbyder ikke denne funktion.<\/li>\n  <\/ol>\n  <p>AI-fotoscanning bruges is\u00e6r, n\u00e5r du spiser ude. Noom beder dig kvalificere din ret med en farve&nbsp;; Lean beder dig om et foto, og du g\u00e5r videre. Ved en forretningsfrokost eller en middag hos venner er forskellen i friktion afg\u00f8rende.<\/p>\n  <p>Over m\u00e5ltidet viser Lean en TDEE, der bev\u00e6ger sig i l\u00f8bet af dagen&nbsp;: jo mere du g\u00e5r, jo mere stiger dit kaloriem\u00e5l. Et fast ugeprogram kan ikke gengive den daglige variation.<\/p>\n  <p>Og til at prioritere det, der virkelig t\u00e6ller, Progressionspyramiden&nbsp;:<\/p>\n\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<\/span><span class=\"k\">Etage 2<\/span><\/div>\n    <div class=\"level l3\"><span>Skridt \/ 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. Hvis du ikke er regelm\u00e6ssig i din tracking, nytter det ikke at optimere makroerne p\u00e5 procenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"noom-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c6rlighed<\/span><\/div>\n  <h2 id=\"noom-better\">Det Noom g\u00f8r bedre<\/h2>\n  <p>Lean er ikke perfekt, og Noom har flere reelle styrker, man m\u00e5 anerkende. \u00c6rlig gennemgang, kriterium for kriterium, p\u00e5 de akser, hvor Noom stadig er foran. Ingen af disse akser er sekund\u00e6re: det er reelle s\u00f8jler i Nooms l\u00f8fte, og det, der forklarer dens massive adoption blandt m\u00e5lgruppen kvinder 35-55 med fokus p\u00e5 langsigtet v\u00e6gttab.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Noom over for Lean p\u00e5 4 akser psykologi og vedholdenhed\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Akse<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-noom-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Noom<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Menneskelig coaching og adf\u00e6rdsterapi<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:94%\"><\/i><\/div><div class=\"v\">9,4<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Daglige lektioner i madpsykologi<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Intuitiv gr\u00f8n\/gul\/r\u00f8d-klassifikation<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:88%\"><\/i><\/div><div class=\"v\">8,8<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:30%\"><\/i><\/div><div class=\"v\">3,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Arbejde med langsigtet vedholdenhed<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>\u00c6rlig gennemgang.<\/strong> P\u00e5 menneskelig coaching er Noom forbrugerreferencen: din coach skriver med dig via chat, st\u00f8ttegrupperne (Noom-communityet) k\u00f8rer kontinuerligt, og det er reel f\u00f8lelsesm\u00e6ssig st\u00f8tte for den, der har brug for det. P\u00e5 de daglige lektioner i madpsykologi (5 til 10 minutter hver dag, inspireret af KAT, kognitiv adf\u00e6rdsterapi) har Noom investeret massivt, og det er unikt p\u00e5 markedet: ingen anden kalorietracker tilbyder det strukturerede p\u00e6dagogiske indhold. P\u00e5 gr\u00f8n\/gul\/r\u00f8d-klassifikationen er det en intuitiv mekanisme, der sparer brugeren tid, og som fungerer godt for profiler, der ikke vil dykke ned i makroerne. P\u00e5 langsigtet vedholdenhed viser Chin 2016 og talrige metaanalyser om adf\u00e6rdsterapi anvendt p\u00e5 v\u00e6gttab signifikante gevinster efter 6 og 12 m\u00e5neder. Noom kapitaliserer videnskabeligt p\u00e5 den akse.<\/p>\n  <p>Er din hovedvinkel det psykologiske arbejde med madvaner, har du brug for en menneskelig coach for at holde ved, eller hj\u00e6lper gr\u00f8n\/gul\/r\u00f8d-klassifikationen dig med at tr\u00e6ffe valg uden at regne, er Noom mere relevant end Lean. Er din vinkel pr\u00e6cisionen i <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">TDEE-beregning<\/a>, fedtprocenten m\u00e5lt hver uge via AI BodyScan og den automatiske metaboliske tilpasning, er det pr\u00e6cis det, der lige er blevet p\u00e5vist i de 3 foreg\u00e5ende afsnit. Mange brugere k\u00f8rer Lean til m\u00e5lingen og Noom parallelt til den psykologiske coaching, det er fuldt forsvarligt.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Til hvem<\/span><\/div>\n  <h2 id=\"forwho\">Hvem Lean er lavet til<\/h2>\n  <p>Fire profiler. Passer en af dem p\u00e5 dig, har Lean gode chancer for at passe til dig.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har fulgt Noom seri\u00f8st og har ikke tabt dig<\/h4>\n        <p>Du har taget quizzen, fulgt lektionerne, klassificeret dine m\u00e5ltider efter farve, skrevet med din coach og holdt ved i flere uger, uden at kurven rigtig fulgte med.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du stagnerer efter flere ugers cut<\/h4>\n        <p>Plateauet s\u00e6tter sig efter fire til otte uger. Det er den metaboliske tilpasnings signatur&nbsp;: Lean beregner den og retter dit m\u00e5l i stedet for at henvise dig til din motivation.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil forst\u00e5 dit stofskifte<\/h4>\n        <p>Du vil se detaljerne i beregningen&nbsp;: BMR, NEAT, EAT og TEF vist hver for sig, tilpasningen forklaret separat, frem for et enkelt tal kommenteret af en coach.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil have en tracking, der holder 12 m\u00e5neder<\/h4>\n        <p>Du spiser ofte ude og har brug for en hurtig registrering&nbsp;: foto, kurateret base eller stregkode efter situationen.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Noom er stadig mere relevant til<\/strong>&nbsp;: at arbejde psykologisk med madvaner, nyde en menneskelig coach og st\u00f8ttegrupper, f\u00f8lge daglige lektioner i kognitiv adf\u00e6rdsterapi anvendt p\u00e5 v\u00e6gttab, eller l\u00e6ne sig op ad gr\u00f8n\/gul\/r\u00f8d-klassifikationen for at tr\u00e6ffe valg uden at regne. Pr\u00e6cisionen i TDEE-beregningen og den metaboliske tilpasning er bare ikke en del af dens hovedl\u00f8fte.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migration<\/span><\/div>\n  <h2 id=\"migrate\">Skift fra Noom til Lean (eller brug begge) p\u00e5 3 minutter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Download Lean<\/h4><p>App Store eller Play Store. Tilmelding p\u00e5 tredive sekunder, uden sp\u00f8rgeskema p\u00e5 tyve minutter.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Et foto, fem sekunder&nbsp;: din fedtprocent vises.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>V\u00e6gt &amp; h\u00f8jde<\/h4><p>Du indtaster din v\u00e6gt og din h\u00f8jde. Intet andet bliver spurgt om.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean beregner<\/h4><p>BMR p\u00e5 reel fedtfri masse, NEAT fra dine skridt via HealthKit eller Google Fit, EAT per MET, TEF p\u00e5 dine makroer, og den metaboliske tilpasning, der modulerer det hele uge efter uge.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Track et m\u00e5ltid<\/h4><p>Foto, stregkode eller database&nbsp;: du v\u00e6lger efter m\u00e5ltidet.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Vigtig note.<\/strong> Lean importerer ikke din Noom-historik automatisk, heller ikke dine samtaler med din menneskelige coach. S\u00e6tter du pris p\u00e5 Nooms psykologiske coaching og de daglige lektioner, forts\u00e6tter mange brugere med at bruge Noom til adf\u00e6rdsarbejdet og st\u00f8ttegrupperne, mens de bruger Lean dagligt til TDEE-beregning og pr\u00e6cis tracking. HealthKit \/ Google Health Connect-synkroniseringen tager derimod straks over for dine skridt og din aktivitetshistorik.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Download Lean og start AI BodyScan nu. Gratis tilmelding.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Det Lean l\u00e5ser op<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean g\u00f8r, og som Noom ikke g\u00f8r (p\u00e5 TDEE)<\/h2>\n  <p>Seks funktioner, der mangler i forbruger-trackerne. De bygger alle p\u00e5 samme valg&nbsp;: at m\u00e5le hver TDEE-komponent frem for at estimere den og derefter kl\u00e6de den i p\u00e6dagogik.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Ubegr\u00e6nset AI BodyScan<\/div><p class=\"fd\">Din fedtprocent, opn\u00e5et fra et foto og opdateret hver uge. Det er den variabel, der g\u00f8r stofskiftet individuelt, og intet coachingprogram m\u00e5ler den.<\/p><\/div><div class=\"fc\">Fedtprocent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Ubegr\u00e6nset AI-fotoscanning af en ret<\/div><p class=\"fd\">Et restaurantm\u00e5ltid registreret p\u00e5 to sekunder, uden v\u00e6gt eller indtastning. Den friktion mindre, der f\u00e5r dig til at holde ved i tolv m\u00e5neder, uden at en coach beh\u00f8ver at minde dig om det.<\/p><\/div><div class=\"fc\">Vedholdenhed<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabolisk tilpasning<\/div><p class=\"fd\">Din TDEE korrigeres uge efter uge efter de publicerede intervaller. De plateauer, som st\u00f8tte tilskriver motivationen, finder her deres forklaring i tal.<\/p><\/div><div class=\"fc\">Tilpasning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live opdelt TDEE<\/div><p class=\"fd\">BMR, NEAT, EAT og TEF vist hver for sig og opdateret i l\u00f8bet af dagen. Dit m\u00e5l bev\u00e6ger sig med din reelle aktivitet, i stedet for at v\u00e6re fastl\u00e5st ved opv\u00e5gningen.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplet historik og tendenser<\/div><p class=\"fd\">Dine tendenser for v\u00e6gt, fedtmasse og fedtfri masse over flere m\u00e5neder. Du identificerer dine cyklusser i stedet for at reagere p\u00e5 dagens vejning.<\/p><\/div><div class=\"fc\">Historik<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlede tracking-metoder<\/div><p class=\"fd\">Et klart hierarki over det, der t\u00e6ller&nbsp;: vedholdenhed f\u00f8rst, derefter kaloriem\u00e5let, derefter skridtene. Nok til at vide, hvad du skal justere, n\u00e5r det g\u00e5r i st\u00e5.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerer appen gratis, du tester uden binding, og du beslutter derefter, om v\u00e6rkt\u00f8jet passer til dit m\u00e5l.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Ofte stillede sp\u00f8rgsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details><summary>Noom er kendt for sin psykologiske coaching, hvorfor sammenligne den med Lean p\u00e5 TDEE&nbsp;?<\/summary><div class=\"ans\">Noom er kendt for sin adf\u00e6rdsm\u00e6ssige tilgang (daglige lektioner inspireret af KAT, menneskelige coaches, klassifikation af f\u00f8devarer i gr\u00f8n\/gul\/r\u00f8d). Det er en reel styrke for vedholdenheden og det psykologiske arbejde med kosten. Men den underliggende kaloriemotor er stadig Mifflin-St Jeor 1990 uden fedtprocent, plus en statisk aktivitetsfaktor valgt via tilmeldingsquizzen. P\u00e5 TDEE er motoren basal. Lean genberegner hver dag din BMR p\u00e5 din reelle fedtprocent m\u00e5lt med AI BodyScan og modulerer med den metaboliske tilpasning. De to apps spiller ikke p\u00e5 samme bane.<\/div><\/details>\n    <details><summary>Hvorfor beregner Noom ikke BMR p\u00e5 reel fedtprocent&nbsp;?<\/summary><div class=\"ans\">Noom anvender Mifflin-St Jeor 1990 som standard uden fedtfri masse-tilvalg. Ingen fedtprocentm\u00e5ling er indbygget i appen, og ingen ligning af typen Katch-McArdle tilbydes, selv ikke i avancerede indstillinger. Konsekvensen er mekanisk: to brugere med samme v\u00e6gt, men med 22 og 38 procent fedtprocent f\u00e5r samme Noom-BMR, selv om deres reelle forbrug kan afvige med 400 kcal om dagen. Lean integrerer AI BodyScan til at m\u00e5le din fedtprocent fra et simpelt foto, gentaget hver uge.<\/div><\/details>\n    <details><summary>Er Nooms gr\u00f8n\/gul\/r\u00f8d-klassifikation et reelt metabolisk m\u00e5l&nbsp;?<\/summary><div class=\"ans\">Nej. Gr\u00f8n\/gul\/r\u00f8d-systemet klassificerer f\u00f8devarer efter kaloriet\u00e6thed (gr\u00f8ntsager i gr\u00f8n, stivelsesholdige f\u00f8devarer i gul, fedt og sukker i r\u00f8d). Det er et p\u00e6dagogisk v\u00e6rkt\u00f8j for spiseadf\u00e6rd, ikke et m\u00e5l for energiforbrug. Det er effektivt til at skabe bevidsthed om valgene, men det p\u00e5virker ikke TDEE-beregningen. P\u00e5 dit reelle stofskifte bliver Noom p\u00e5 Mifflin 1990 plus nogle statiske aktivitetsbokse. Farveklassifikationen \u00e6ndrer ikke det beregnede kaloriem\u00e5l.<\/div><\/details>\n    <details><summary>Noom importerer skridt via HealthKit, er det nok til NEAT&nbsp;?<\/summary><div class=\"ans\">Noom importerer skridt og aktivitet via Apple Health og Google Fit, men bruger dem til at estimere et tr\u00e6ningsforbrug, der l\u00e6gges til det daglige kaloriem\u00e5l. Den statiske aktivitetsfaktor valgt i tilmeldingsquizzen forbliver grundlaget for TDEE-beregningen. Lean beregner derimod NEAT direkte ud fra de reelle skridt m\u00e5lt hver dag, uden koefficient at v\u00e6lge.<\/div><\/details>\n    <details><summary>Erstatter Nooms menneskelige coaching en pr\u00e6cis TDEE-beregning&nbsp;?<\/summary><div class=\"ans\">Nooms menneskelige coaching er en reel merv\u00e6rdi for vedholdenheden og det psykologiske arbejde med vaner. Chin 2016 og talrige metaanalyser viser, at adf\u00e6rdsterapi forbedrer v\u00e6gttabet efter 6 og 12 m\u00e5neder. Men coachingen virker ikke p\u00e5 den underliggende TDEE-ligning. Er dit kaloriem\u00e5l beregnet p\u00e5 Mifflin 1990 uden fedtprocent og en statisk PAL, retter din coach ikke ligningen, han opmuntrer dig til at holde et potentielt forkert underskud. Coaching er en multiplikator for vedholdenhed, ikke en erstatning for objektiv m\u00e5ling.<\/div><\/details>\n    <details><summary>Kan man bruge Lean og Noom parallelt&nbsp;?<\/summary><div class=\"ans\">Ja, det er forsvarligt. S\u00e6tter du pris p\u00e5 Nooms menneskelige coaching, de daglige lektioner og adf\u00e6rdsp\u00e6dagogikken, kan du beholde Noom til det psykologiske aspekt og vanerne. Lean tager sig af den pr\u00e6cise metaboliske motor (BMR p\u00e5 reel fedtprocent, NEAT, EAT, TEF, tilpasning). Databaserne er forskellige (USDA + OpenFoodFacts hos Lean, egen base hos Noom), s\u00e5 indsatsen med dobbelt indtastning er reel: det er en afvejning efter dine prioriteter.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Konklusion<\/span><\/div>\n  <h2 id=\"conclu\">Coaching over for m\u00e5ling<\/h2>\n  <p>Det er ikke Noom over for Lean i markedsf\u00f8ring. Det er psykologisk coaching over for metabolisk pr\u00e6cision, to forskellige l\u00f8fter.<\/p>\n  <p>Noom er stadig en af de bedste forbruger-apps til adf\u00e6rdsarbejde med kosten, og ingen p\u00e5 forbrugermarkedet g\u00f8r det bedre p\u00e5 daglige lektioner i madpsykologi og st\u00f8tte fra en menneskelig coach. Men til din TDEE bruger Noom Mifflin-St Jeor 1990 uden fedtprocent m\u00e5lt i appen, plus en fastl\u00e5st aktivitetsfaktor, du krydser af \u00e9n enkelt gang under tilmeldingsquizzen, og ignorerer den metaboliske tilpasning. Kombinationen af de tre g\u00f8r enhver pr\u00e6cis kalorieopf\u00f8lgning umulig ud over nogle f\u00e5 ugers cut. Det er matematik. Ingen menneskelig coach retter en ligning, han ikke ser.<\/p>\n  <p>Lean er bygget til at g\u00f8re pr\u00e6cis det modsatte&nbsp;: BMR baseret p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">reelle fedtprocent<\/a> (m\u00e5lt med AI BodyScan) via en patenteret egenudviklet model, <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT fra reelle skridt<\/a>, EAT per sport og MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF fra makroer<\/a>, plus den metaboliske tilpasning, der modulerer BMR uge efter uge. Hver komponent beregnet pr\u00e6cist, uden magisk koefficient, uden psykologisk indpakning.<\/p>\n  <p>Noom er stadig meget solid p\u00e5 adf\u00e6rdscoaching og menneskelig st\u00f8tte. De bedste resultater kommer ofte af at kombinere de to: at m\u00e5le rigtigt (Lean) OG handle med disciplin (nogle gange hjulpet af en Noom-coach). Har du pr\u00f8vet Noom seri\u00f8st og ikke f\u00e5et de resultater, du h\u00e5bede p\u00e5 i dit cut, er problemet ikke dig, og heller ikke Noom p\u00e5 dens psykologiske l\u00f8fte. Problemet er den frosne TDEE under motorhjelmen. Skift motoren, behold coachen parallelt, hvis du har brug for det.<\/p>\n<\/section>\n\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean kan downloades gratis<\/h3>\n  <p>iOS og Android. AI BodyScan fungerer med et simpelt foto. Ingen hudfoldsm\u00e5ler, ingen impedansv\u00e6gt, ingen DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean i App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean p\u00e5 Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Intern linkning<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/tdee-calculator\/\">Gratis TDEE-beregner online<\/a> &middot; webversion, uden tilmelding, samme logik som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/depense-energetique-totale-v2\/\">Forst\u00e5 TDEE i detaljer (BMR, NEAT, EAT, TEF, tilpasning)<\/a> &middot; dybdeg\u00e5ende videnskabelig artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/comment-compter-ses-calories\/\">S\u00e5dan t\u00e6ller du dine kalorier korrekt<\/a> &middot; praktisk guide for begyndere.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/neat-depense-non-sportive\/\">NEAT&nbsp;: forbrug per skridt og aktivitet uden for sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/da\/effet-thermique-des-aliments\/\">TEF&nbsp;: ford\u00f8jelsen forbr\u00e6nder kalorier<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Kilder<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Katch V.L., McArdle W.D. (1973). Prediction of body density from simple anthropometric measurements in college-age men and women. Human Biology.<\/li>\n    <li>Chin S.O. et al. (2016). Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Scientific Reports, behavioral therapy and weight loss.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2015). Adaptive thermogenesis with weight loss in humans. Obesity, genbes\u00f8g af Minnesota. PubMed 26399868.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikel publiceret 24. maj 2026. Opdateres regelm\u00e6ssigt med brugerfeedback og nye relevante studier. Lean f\u00e5s til iOS og Android.<\/p>\n      <\/div>\n      <div class=\"stores\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script>\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    var src = subMap[sub]; if(!src) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n\n(function(){\n  if (typeof Chart === 'undefined') return;\n  \/\/ v6 anti-overflow helper: preserve designer intent + strict clamp inside chartArea\n  function xAdj(xv, halfW, baseAdj){\n    return function(c){\n      var s = c.chart.scales.x;\n      if(!s || !c.chart.chartArea) return (baseAdj != null ? baseAdj : 0);\n      var area = c.chart.chartArea;\n      var px = s.getPixelForValue(xv);\n      var hw = halfW || 60;\n      var base = (baseAdj != null) ? baseAdj : 0;\n      var center = px + base;\n      var minC = area.left + hw + 4;\n      var maxC = area.right - hw - 4;\n      if(maxC < minC){ var mid = (area.left + area.right) \/ 2; return mid - px; }\n      if(center < minC) center = minC;\n      if(center > maxC) center = maxC;\n      return center - px;\n    };\n  }\nvar PINK = '#FF2D6E';\n  var NOOM = '#FF6E5E';\n  var INK  = '#0E0E10';\n  var MUTE = '#6E6E73';\n  var RULE = '#E8E6DF';\n\n  Chart.defaults.font.family = '-apple-system, \"SF Pro Text\", system-ui, sans-serif';\n  Chart.defaults.color = MUTE;\n\n  \/\/ Plugin custom : trait pointille noir reliant le sommet de la barre Noom au sommet de la barre Lean pour le chart BMR\n  var bmrDeltaLine = {\n    id: 'bmrDeltaLine',\n    afterDatasetsDraw: function(chart){\n      var meta = chart.getDatasetMeta(0);\n      if (!meta || !meta.data || meta.data.length < 2) return;\n      var b1 = meta.data[0], b2 = meta.data[1];\n      if (!b1 || !b2) return;\n      var ctx = chart.ctx;\n      var x1 = b1.x, y1 = b1.y;\n      var x2 = b2.x, y2 = b2.y;\n      ctx.save();\n      ctx.strokeStyle = INK;\n      ctx.lineWidth = 1.5;\n      ctx.setLineDash([6,4]);\n      ctx.beginPath();\n      ctx.moveTo(x1, y1);\n      ctx.lineTo(x2, y1);   \/\/ segment horizontal en haut de la barre Noom\n      ctx.moveTo(x2, y1);\n      ctx.lineTo(x2, y2);   \/\/ segment vertical jusqu'au sommet de la barre Lean\n      ctx.stroke();\n      ctx.restore();\n    }\n  };\n\n  var lazy = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      var id = e.target.id;\n      if (id === 'chartBMR')   buildBMR();\n      if (id === 'chartNEAT')  buildNEAT();\n      if (id === 'chartAdapt') buildAdapt();\n      lazy.unobserve(e.target);\n    });\n  }, {threshold:0.2});\n  ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n    var el = document.getElementById(id);\n    if (el) lazy.observe(el);\n  });\n\n  \/\/ Animation des barres horizontales scorecard\n  var scoreObs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      e.target.querySelectorAll('.bar .b > i').forEach(function(i){\n        var w = i.style.width;\n        i.style.width = '0%';\n        requestAnimationFrame(function(){ requestAnimationFrame(function(){ i.style.width = w; }); });\n      });\n      scoreObs.unobserve(e.target);\n    });\n  }, {threshold:0.25});\n  document.querySelectorAll('.scorecard').forEach(function(n){ scoreObs.observe(n); });\n\n  function fmt(n){return n.toLocaleString('fr-FR').replace(',',' ');}\n\n  function buildBMR(){\n    var ctx = document.getElementById('chartBMR').getContext('2d');\n    new Chart(ctx, {\n      type: 'bar',\n      data: {\n        labels: ['NOOM \u00b7 Mifflin-St Jeor\\n1990', 'LEAN \u00b7 Brevet\u00e9\\nsur bodyfat r\u00e9el'],\n        datasets: [{\n          data: [1670, 1340],\n          backgroundColor: [NOOM, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:80, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblNOOM:{type:'label',xValue:0,yValue:1790,content:['1 670'],font:{family:'-apple-system',size:24,weight:'700'},color:INK},\n              lblLEAN:{type:'label',xValue:1,yValue:1460,content:['1 340'],font:{family:'-apple-system',size:24,weight:'700'},color:PINK,xAdjust:18,yAdjust:-2},\n              delta:{type:'label',xValue:0.5,yValue:1820,content:['\u2212330 kcal'],font:{family:'-apple-system',size:12,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:14,padding:{x:11,y:5},yAdjust:0}\n            }\n          }\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE,callback:function(v,i){return this.getLabelForValue(v).split('\\n');}},border:{display:false}},\n          y:{beginAtZero:true,max:1950,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:500,callback:function(v){return v===0?'0':fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildNEAT(){\n    var ctx = document.getElementById('chartNEAT').getContext('2d');\n    var labels = ['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'];\n    var real   = [1750, 1980, 1700, 2500, 1850, 2750, 1500];\n    new Chart(ctx, {\n      type: 'line',\n      data: {\n        labels: labels,\n        datasets: [\n          {label:'Lean \u00b7 d\u00e9pense r\u00e9elle',data:real,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.08)',borderWidth:2.5,pointRadius:5,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n          {label:'Noom \u00b7 objectif fixe 2 000 kcal',data:[2000,2000,2000,2000,2000,2000,2000],borderColor:NOOM,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:1000, easing:'easeOutQuart'},\n        layout:{padding:{top:80, bottom:34, left:32, right:64}},\n        plugins:{\n          legend:{display:true, position:'top', align:'start', labels:{boxWidth:14, boxHeight:2, color:MUTE, font:{size:12}, padding:14, usePointStyle:false}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            peakSam:{type:'label',xValue:5,yValue:3000,content:['Disneyland 15 km','+750 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(5,58,-28)},\n            peakJeu:{type:'label',xValue:3,yValue:2520,content:['Footing + courses'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:10,padding:{x:9,y:5}},\n            dipDim:{type:'label',xValue:6,yValue:1320,content:['Canap\u00e9 Netflix','\u2212500 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:'#5a5a5e',borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(6,52,-42)},\n            noomTag:{type:'label',xValue:0.55,yValue:2110,content:['Noom fixe : 2 000'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:NOOM,borderRadius:10,padding:{x:9,y:4},xAdjust:xAdj(0.55,58,0)}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1100,max:3300,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:500,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildAdapt(){\n    var ctx = document.getElementById('chartAdapt').getContext('2d');\n    var labels = ['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'];\n    var lean = [2000, 1975, 1935, 1875, 1815, 1780, 1745, 1720];\n    var noom = [2000, 2000, 2000, 2000, 2000, 2000, 2000, 2000];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:'Lean \u00b7 TDEE r\u00e9elle adapt\u00e9e',data:lean,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.10)',borderWidth:2.5,pointRadius:4,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n        {label:'Noom \u00b7 objectif fig\u00e9',data:noom,borderColor:NOOM,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:1100, easing:'easeOutQuart'},\n        layout:{padding:{top:72, bottom:28, left:64, right:64}},\n        plugins:{\n          legend:{display:true,position:'top',align:'start',labels:{boxWidth:14,boxHeight:2,color:MUTE,font:{size:12},padding:14}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            adaptTag:{type:'label',xValue:5.6,yValue:1670,content:['\u221214 % adaptation','Tu arr\u00eates de perdre'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(5.6,72,-95)},\n            noomStill:{type:'label',xValue:0.7,yValue:2055,content:['Noom : 2 000 fig\u00e9'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:NOOM,borderRadius:10,padding:{x:9,y:4},xAdjust:xAdj(0.7,58,0)},\n            start:{type:'label',xValue:0,yValue:2105,content:['2 000'],font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:xAdj(0,22,22)},\n            end:{type:'label',xValue:7,yValue:1660,content:['1 720'],font:{family:'-apple-system',size:14,weight:'700'},color:PINK,xAdjust:xAdj(7,22,-22)}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1600,max:2150,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:200,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n})();\n<\/script>\n\n<\/div>\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;\">L\u00e6s ogs\u00e5<\/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;\">Basalstofskifte (BMR): alt du skal vide for at beregne det <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definition, TDEE-ligning, 4 historiske formler, hvorfor fedtprocenten \u00e6ndrer alt.<\/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;\">Samlet energiforbrug (TDEE): den kanoniske formel BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Forst\u00e5 de 4 byggesten + den metaboliske tilpasning, videnskabelige kilder 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/comparatifs-croises\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">MyFitnessPal eller Yazio? 12 dueller mellem kalorie-apps sammenlignet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Dommen i hver duel med \u00e9t blik&nbsp;: hvem vinder p\u00e5 hvad, og det, ingen af de to beregner.<\/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;\">De bedste apps til at t\u00e6lle kalorier i 2026: 8 apps testet <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\/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;\">Hvilket alternativ til MyFitnessPal i 2026? 5 apps testet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">\u00c6rlig sammenligning, TDEE-pr\u00e6cision, ergonomi.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Alle Lean-sammenligninger over for de store kalorie-apps <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean over for MyFitnessPal: TDEE-formlen, der \u00e6ndrer alt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor MFP tager fejl af dit reelle kalorieforbrug.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/da\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean over for Foodvisor: fotoscanningens pioner vs reelt forbrug <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Foodvisor ser din tallerken. Lean genopbygger din TDEE kontinuerligt.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Noom Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Noom. Coaching psychologique face \u00e0 la pr\u00e9cision m\u00e9tabolique. Noom vend du coaching comportemental pour changer tes habitudes. Lean voit ta d\u00e9pense r\u00e9elle. Deux promesses qui ne jouent pas sur le m\u00eame terrain. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis [&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-1425","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>Lean vs Noom: coaching eller metabolisk pr\u00e6cision? - Lean<\/title>\n<meta name=\"description\" content=\"Noom satser p\u00e5 adf\u00e6rdsm\u00e6ssig coaching, Lean p\u00e5 pr\u00e6cis beregning af dit forbrug. Sammenligning af de to tilgange, pris undtaget, og for hvilken profil.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/da\/lean-vs-noom\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs Noom: coaching eller metabolisk pr\u00e6cision? - Lean\" \/>\n<meta property=\"og:description\" content=\"Noom satser p\u00e5 psykologisk coaching, Lean p\u00e5 pr\u00e6cision i beregningen. Pris, metode, kalorietracking: den komplette sammenligning af de to tilgange, med en dom per profil.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/da\/lean-vs-noom\/\" \/>\n<meta property=\"og:site_name\" content=\"Lean\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-24T15:29:31+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T18:18:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"L&#039;\u00e9quipe Lean\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"27 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Lean face \u00e0 Noom : coaching psychologique face \u00e0 la pr\u00e9cision m\u00e9tabolique\",\"datePublished\":\"2026-05-24T15:29:31+00:00\",\"dateModified\":\"2026-09-08T18:18:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/\"},\"wordCount\":5658,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-noom\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/\",\"url\":\"https:\/\/lean-app.com\/lean-vs-noom\/\",\"name\":\"Lean vs Noom : coaching ou pr\u00e9cision m\u00e9tabolique ? - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-05-24T15:29:31+00:00\",\"dateModified\":\"2026-09-08T18:18:27+00:00\",\"description\":\"Noom mise sur le coaching comportemental, Lean sur le calcul exact de ta d\u00e9pense. Comparatif des deux approches, prix mis \u00e0 part, et pour quel profil.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#breadcrumb\"},\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-noom\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-noom\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean face \u00e0 Noom : coaching psychologique face \u00e0 la pr\u00e9cision m\u00e9tabolique\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lean-app.com\/#website\",\"url\":\"https:\/\/lean-app.com\/\",\"name\":\"Lean\",\"description\":\"T\u00e9l\u00e9charge, essaye GRATUITEMENT l&#039;application et prends en main ton corps \u00c0 VIE.\",\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lean-app.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"da-DK\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"width\":1672,\"height\":1484,\"caption\":\"Lean\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\",\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\",\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\",\"https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker\",\"https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Lean vs Noom: coaching eller metabolisk pr\u00e6cision? - Lean","description":"Noom satser p\u00e5 adf\u00e6rdsm\u00e6ssig coaching, Lean p\u00e5 pr\u00e6cis beregning af dit forbrug. Sammenligning af de to tilgange, pris undtaget, og for hvilken profil.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lean-app.com\/da\/lean-vs-noom\/","og_locale":"da_DK","og_type":"article","og_title":"Lean vs Noom: coaching eller metabolisk pr\u00e6cision? - Lean","og_description":"Noom satser p\u00e5 psykologisk coaching, Lean p\u00e5 pr\u00e6cision i beregningen. Pris, metode, kalorietracking: den komplette sammenligning af de to tilgange, med en dom per profil.","og_url":"https:\/\/lean-app.com\/da\/lean-vs-noom\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-24T15:29:31+00:00","article_modified_time":"2026-09-08T18:18:27+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"27 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/lean-vs-noom\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Lean face \u00e0 Noom : coaching psychologique face \u00e0 la pr\u00e9cision m\u00e9tabolique","datePublished":"2026-05-24T15:29:31+00:00","dateModified":"2026-09-08T18:18:27+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/"},"wordCount":5658,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"da-DK","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/lean-vs-noom\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/lean-vs-noom\/","url":"https:\/\/lean-app.com\/lean-vs-noom\/","name":"Lean vs Noom: coaching eller metabolisk pr\u00e6cision? - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-05-24T15:29:31+00:00","dateModified":"2026-09-08T18:18:27+00:00","description":"Noom satser p\u00e5 adf\u00e6rdsm\u00e6ssig coaching, Lean p\u00e5 pr\u00e6cis beregning af dit forbrug. Sammenligning af de to tilgange, pris undtaget, og for hvilken profil.","breadcrumb":{"@id":"https:\/\/lean-app.com\/lean-vs-noom\/#breadcrumb"},"inLanguage":"da-DK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/lean-vs-noom\/"]}]},{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/lean-app.com\/lean-vs-noom\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/lean-vs-noom\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Lean face \u00e0 Noom : coaching psychologique face \u00e0 la pr\u00e9cision m\u00e9tabolique"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Download, pr\u00f8v appen GRATIS, og tag kontrol over din krop FOR ALTID.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"da-DK"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","width":1672,"height":1484,"caption":"Lean"},"image":{"@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646","https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite","https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker","https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/"]}]}},"_links":{"self":[{"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/posts\/1425","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/comments?post=1425"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/posts\/1425\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/media?parent=1425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/categories?post=1425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/da\/wp-json\/wp\/v2\/tags?post=1425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}