{"id":1379,"date":"2026-05-23T16:30:45","date_gmt":"2026-05-23T16:30:45","guid":{"rendered":"https:\/\/lean-app.com\/?p=1379"},"modified":"2026-09-05T10:53:45","modified_gmt":"2026-09-05T10:53:45","slug":"lean-vs-cronometer","status":"publish","type":"post","link":"https:\/\/lean-app.com\/nl\/lean-vs-cronometer\/","title":{"rendered":"Lean vs Cronometer: micronutri\u00ebntenprecisie tegenover de volledige TDEE"},"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<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-1379 #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-1379 #lvm-shell .wrap,\nbody.postid-1379 #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-1379 #lvm-shell .wrap,\n  body.postid-1379 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1379 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1379 #lvm-shell *{max-width:100%}\nbody.postid-1379 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1379 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1379 #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-1379 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1379 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1379 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1379 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1379 #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-1379 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1379 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1379 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1379 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1379 #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-1379 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1379 #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-1379 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1379 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1379 #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-1379 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1379 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1379 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1379 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1379 #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-1379 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1379 #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-1379 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1379 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1379 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1379 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1379 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1379 #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-1379 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1379 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1379 #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-1379 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1379 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1379 #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-1379 #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-1379 #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-1379 #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-1379 #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-1379 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!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:#E15822!important;\n  }\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1379 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1379 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1379 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1379 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1379 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1379 #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-1379 #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-1379 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1379 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1379 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1379 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\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\/nl\/\" aria-label=\"Accueil Lean\">\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\/nl\/tdee-calculator\/\">TDEE-calculator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger sur l'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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" target=\"_blank\" rel=\"noopener\" aria-label=\"Disponible sur 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\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\/nl\/\">Home<\/a> &nbsp;\/&nbsp; Lean vs Cronometer<\/div>\n  <div class=\"eyebrow\">Vergelijking &middot; Voeding &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean tegenover Cronometer.\n    <span class=\"alt\">De micronutri\u00ebntenreferentie tegenover de enige die je TDEE continu opnieuw samenstelt.<\/span>\n  <\/h1>\n  <p class=\"dek\">Cronometer ziet je vitamines. Lean ziet je echte verbruik. Twee dieptes, twee beloftes.<\/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>Het Lean-team<\/strong> &middot; Leestijd 12&nbsp;min &middot; Bijgewerkt op 21 mei 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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      Cronometer is de marktreferentie voor de 80+ micronutri\u00ebnten dankzij de NCCDB-database. Geen enkele andere consumentenapp gaat zo ver in vitamines, mineralen, omega en aminozuren. Maar zijn TDEE-formule blijft Mifflin-St Jeor 1990, plus een statische activiteitsfactor die je \u00e9\u00e9n keer aanvinkt bij de inschrijving (sedentary, light, moderate, heavy, extreme). Zonder in de app gemeten echt vetpercentage, zonder metabole adaptatie. Over 3 maanden serieuze cut wordt het verschil groter.\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>Interactieve demo<\/small>Tik op het scherm om de app te verkennen<\/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>Interactieve demo<\/small>Tik op het scherm<br>om de app te verkennen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Terug\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tabblad Verbruik\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balans<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorie\u00ebn<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbruik<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Snel antwoord<\/div>\n    <p>Cronometer berekent je TDEE met Mifflin-St Jeor 1990 (zonder in de app gemeten vetpercentage) en een statische activiteitsfactor gekozen bij de inschrijving uit 5 vakjes (sedentary, light, moderate, heavy, extreme). De echte kracht van Cronometer ligt elders: de NCCDB-database en 80+ micronutri\u00ebnten getrackt met een strengheid die niemand anders in de consumentenmarkt biedt. Lean kiest een andere weg: elk onderdeel van de TDEE herberekenen (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energie verbruikt in rust. Bij Lean berekend op de echte vetvrije massa via AI BodyScan.<\/span><\/span> op echt vetpercentage via een gepatenteerd eigen model, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Verbruik door stappen en dagelijkse activiteiten buiten de sport.<\/span><\/span> per stappen, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Verbruik door je trainingen, berekend via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energie verbruikt door de vertering. Hangt af van de ingenomen macro&rsquo;s.<\/span><\/span> op macro&rsquo;s) en de BMR continu te moduleren met de metabole adaptatie, zonder co\u00ebffici\u00ebnt om te kiezen.<\/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; De vaststelling<\/span><\/div>\n  <h2 id=\"constat\">Cronometer ziet je vitamines, niet je metabole adaptatie<\/h2>\n  <p>Je gebruikt waarschijnlijk al Cronometer, en om de beste reden: het is de strengste tool op de markt wat voedingskwaliteit betreft.<\/p>\n  <p>Je volgt je vitamines, je mineralen, je aminozuren, met een schone USDA-database in plaats van een catalogus gevoed door gebruikers. Op de inname is de precisie re\u00ebel.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 tot &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">gemeten daling van de TDEE na 4 tot 6 weken tekort op &minus;500&nbsp;kcal\/dag. Cronometer detecteert het niet. Je caloriedoel blijft bevroren op je activiteitsfactor van 100&nbsp;dagen geleden.<\/div>\n  <\/div>\n\n  <p>Neem een concreet geval. Cronometer meldt een TDEE van 2&nbsp;500&nbsp;kcal, je eet 2&nbsp;250, je denkt op 250&nbsp;kcal tekort te zitten. Als je echte verbruik 2&nbsp;280 is, blijft er maar 30&nbsp;kcal verschil over: de stagnatie is wiskundig, ondanks een onberispelijk dagboek.<\/p>\n  <p>De belofte van Cronometer wordt waargemaakt: voedingsdata van laboratoriumkwaliteit. Ze gaat over wat je binnenkrijgt, niet over wat je verbruikt.<\/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; Probleem 1<\/span><\/div>\n  <h2 id=\"p1\">De BMR-formule uit 1990, zonder in de app gemeten vetpercentage<\/h2>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 1 &middot; Man 1m80, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Comparaison BMR Mifflin-St Jeor 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Geschatte BMR.<\/strong> Het gepatenteerde eigen model van Lean houdt rekening met de vetvrije massa. Mifflin-St Jeor (Cronometer standaard) niet. Verschil van 500&nbsp;kcal, het equivalent van een hele lunch.<\/p>\n  <\/div>\n\n  <p>Cronometer steunt, ondanks zijn strengheid op micronutri\u00ebnten, standaard op Mifflin-St Jeor om je basaal metabolisme te schatten.<\/p>\n  <p>Die vergelijking uit 1990 berust op 498 proefpersonen en een rigoureuze indirecte calorimetrie. Ze vormt het beste beschikbare compromis&#8230; wanneer je alleen over gewicht, lengte, leeftijd en geslacht beschikt.<\/p>\n  <p>Tot zijn eer biedt Cronometer de Katch-McArdle-vergelijking, die op de vetvrije massa werkt, als je je vetpercentage invult. Dat is meer dan de concurrentie. Het probleem is praktisch: die waarde moet je verkrijgen en bijhouden, anders blijft de optie ongebruikt.<\/p>\n  <p>Zonder dat gegeven vallen we terug op de fundamentele beperking: de vergelijking ziet alleen je gewicht, nooit je lichaamssamenstelling.<\/p>\n  <p>Nochtans verbruikt vetmassa in rust heel weinig. Het grootste deel komt van de organen en de spieren: lever, hersenen, hart, nieren. Een onberispelijke voedingsdatabase compenseert een slecht geschat metabolisme niet.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) vergeleek Mifflin-St Jeor met indirecte calorimetrie: 87&nbsp;% nauwkeurigheid bij niet-obese personen, 68&nbsp;% bij obese, met afwijkingen tot 330&nbsp;kcal per dag.<\/p>\n\n  <p>80 micronutri\u00ebnten tot op de milligram volgen terwijl het verbruik er 330&nbsp;kcal naast zit, is de decimaal optimaliseren terwijl je je in de eenheid vergist.<\/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\">Bodyfat r\u00e9el<strong>Foto, 5 seconden<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">verschil tussen twee mannen van 80&nbsp;kg, de ene met 10&nbsp;% vet (BMR 1&nbsp;900), de andere met 30&nbsp;% (BMR 1&nbsp;500). Cronometer geeft hun standaard hetzelfde cijfer.<\/div>\n  <\/div>\n\n  <p>De conclusie is voor alle dezelfde: zonder meting van de lichaamssamenstelling kan geen enkele vergelijking een metabolisme individualiseren.<\/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; Probleem 2<\/span><\/div>\n  <h2 id=\"p2\">De activiteitsfactor, eens en voor altijd gekozen<\/h2>\n  <p>Dat is het opvallendste contrast bij Cronometer: extreme strengheid aan de invoerkant, een benadering aan de uitvoerkant.<\/p>\n  <p>Zodra het basaal metabolisme is vastgelegd, moet het totale verbruik worden geschat: de BMR plus de stappen, de dagelijkse activiteit, de trainingen en de vertering.<\/p>\n  <p>Cronometer gaat te werk zoals de rest van de markt: een activiteitsniveau gekozen uit een lijst, toegepast als PAL-co\u00ebffici\u00ebnt.<\/p>\n  <ul>\n    <li>Sedentary (PAL 1,2): kantoor, weinig wandelen<\/li>\n    <li>Light Activity (PAL 1,375): af en toe wandelen<\/li>\n    <li>Moderate Activity (PAL 1,55): 3 tot 5 keer per week sport<\/li>\n    <li>Heavy (PAL 1,725): bijna dagelijks intensieve sport<\/li>\n    <li>Extreme (PAL 1,9): zeer intensieve sport of fysiek werk<\/li>\n  <\/ul>\n  <p>Die co\u00ebffici\u00ebnt vermenigvuldigt het basaal metabolisme, en het product wordt je caloriedoel.<\/p>\n  <p>De benadering vloekt in een app die je micronutri\u00ebnten tot op de milligram laat invoeren. Een zittende dag en een zeer actieve dag krijgen exact dezelfde behandeling.<\/p>\n  <p>Cronometer importeert nochtans precieze gegevens uit Garmin, Fitbit of Apple Health. Die signalen bestaan, maar de TDEE blijft gebaseerd op de opgegeven co\u00ebffici\u00ebnt.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 2 &middot; 7 echte dagen<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon Cronometer\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echt verbruik<\/strong> gemeten over 7&nbsp;dagen bij een Lean-gebruiker. De grijze lijn is wat Cronometer toonde (2&nbsp;400&nbsp;kcal vast, PAL Moderate \u00d7 BMR). De roze annotaties tonen waarom elke dag beweegt.<\/p>\n  <\/div>\n\n  <p>En de activiteit varieert sterk van week tot week. Geen enkel vakje blijft lang waar.<\/p>\n  <p>Het resultaat is een blijvend verschoven TDEE, terwijl het voedingsdagboek zelf exact is.<\/p>\n  <p>Dat is het beslissende punt: de kwaliteit van de voedingsdatabase compenseert een statische PAL niet. NEAT, EAT en TEF vereisen een aparte berekening.<\/p>\n  <p>Een metabolisme zonder actuele lichaamssamenstelling, plus een activiteitsverbruik geschat via een co\u00ebffici\u00ebnt: de precisie van het dagboek volstaat niet om het einddoel te redden.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Bekijk je echte TDEE, uitgesplitst in BMR + NEAT + EAT + TEF. Gratis download.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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; Probleem 3<\/span><\/div>\n  <h2 id=\"p3\">De metabole adaptatie, nooit gemodelleerd<\/h2>\n  <p>Dat is het gegeven dat geen enkele voedingsdatabase, hoe volledig ook, kan leveren.<\/p>\n  <p>Bij een langdurig tekort verlaagt je lichaam zijn verbruik om het gebrek aan inname te compenseren. Vergelijkbaar met de spaarstand van een telefoon: alles werkt nog, maar op een lager regime.<\/p>\n  <p>Die metabole adaptatie is stevig gedocumenteerd: M\u00fcller 2015 (PubMed 26399868, heranalyse van Minnesota), Doucet 2001 over het langdurige tekort, Nunes 2020 (PMC7484122). De studies situeren het effect tussen 5 en 25&nbsp;% van het basaal metabolisme.<\/p>\n  <ul>\n    <li>Tekort van &minus;250&nbsp;kcal per dag, gedurende 2 tot 8 weken: adaptatie van <strong>5 tot 10&nbsp;%<\/strong> (TDEE zakt naar 90-95&nbsp;% van het beginniveau)<\/li>\n    <li>Tekort van &minus;500&nbsp;kcal per dag: <strong>10 tot 15&nbsp;%<\/strong> adaptatie (TDEE zakt naar 85-90&nbsp;%)<\/li>\n    <li>Tekort van &minus;750&nbsp;kcal per dag: <strong>15 tot 25&nbsp;%<\/strong> adaptatie (TDEE zakt naar 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-conventie: 100&nbsp;% voor een optimaal metabolisme, 90&nbsp;% voor een adaptatie van 10&nbsp;%. Omdat NEAT, EAT en TEF allemaal van de BMR zijn afgeleid, verschuift de hele TDEE.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 3 &middot; 8 weken in tekort<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon Cronometer\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echte TDEE<\/strong> over 8 weken tekort op &minus;500&nbsp;kcal\/dag. De roze curve daalt. De Cronometer-lijn blijft vlak. In week 6 zit je al op onderhoud. Zonder iets te hebben veranderd.<\/p>\n  <\/div>\n\n  <p>In cijfers: een beoogd tekort van 25&nbsp;% op 2&nbsp;000&nbsp;kcal geeft een doel van 1&nbsp;500&nbsp;kcal. Met 14&nbsp;% adaptatie zakt de echte TDEE naar 1&nbsp;720&nbsp;kcal en is het echte tekort nog maar 220&nbsp;kcal.<\/p>\n  <p>Het fenomeen is geleidelijk, dus moeilijk op te merken. Je verliest gewicht, je bevestigt je methode, dan nestelt het verschil zich week na week tot de volledige stilstand.<\/p>\n  <p>Je kunt dan elk voedingsmiddel op de gram invoeren en 80 micronutri\u00ebnten volgen: geen van die gegevens zal je vertellen dat je verbruik 12&nbsp;% is gedaald. De precisie gaat over wat je binnenkrijgt, niet over wat je verbruikt.<\/p>\n  <p>Cronometer modelleert de metabole adaptatie niet. Je doel blijft stabiel zolang je je parameters niet handmatig wijzigt, hoe fijn je voedingsdagboek ook is.<\/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-oplossing<\/span><\/div>\n  <h2 id=\"solution\">Hoe Lean elk van de 3 problemen oplost<\/h2>\n  <p>Cronometer en Lean streven twee verschillende doelen na. Cronometer mikt op <strong>voedingsprecisie<\/strong>&nbsp;: schone USDA-database, meer dan 80 gevolgde micronutri\u00ebnten, laboratoriumstrengheid over wat je binnenkrijgt. Lean mikt op <strong>energetische precisie<\/strong>&nbsp;: hoeveel je lichaam echt verbruikt, dag na dag. Beide zijn legitiem, maar een onberispelijke micronutri\u00ebntenopvolging bovenop een benaderende TDEE zal geen gram extra doen smelten. Zo behandelt Lean elk onderdeel.<\/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\">Stap 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\">Stap 2<strong>BMR herberekend<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">De BMR op echt vetpercentage<\/div>\n      <h3>Gepatenteerd eigen model, gebaseerd op vetvrije massa<\/h3>\n      <p>Cronometer biedt de Katch-McArdle-vergelijking als je je vetpercentage met de hand invoert, wat al beter is dan het marktgemiddelde. Het probleem ligt elders: wie kent zijn actuele vetpercentage, elke week, zonder DEXA? Lean vertrekt van de <strong>masse maigre<\/strong> gemeten, niet opgegeven.<\/p>\n      <p>Dat is de rol van de <strong>AI BodyScan<\/strong>&nbsp;: een foto, een model getraind op een bank van DEXA-scans, je vetpercentage in enkele seconden. Wekelijks herhaald, voedt het automatisch de berekening van het metabolisme. Het gegeven dat Cronometer van jou verwacht, produceert Lean.<\/p>\n      <p>Geen huidplooimeter, geen impedantieweegschaal die gevoelig is voor hydratatie, geen DEXA-afspraak. E\u00e9n wekelijkse foto.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Geen activiteitsco\u00ebffici\u00ebnt<\/div>\n      <h3>NEAT, EAT, TEF apart berekend<\/h3>\n      <p><strong>NEAT.<\/strong> Je echte stappen komen binnen via HealthKit (iOS) of Google Fit (Android) en worden vervolgens omgezet in calorie\u00ebn volgens je metabolisme. Cronometer kan activiteitsgegevens importeren, maar zijn TDEE blijft gebouwd op een activiteitsfactor die jij kiest: de meest variabele post van je verbruik blijft een verklaring.<\/p>\n      <p><strong>EAT.<\/strong> Elke training wordt berekend per MET op je echte inspanningstijd. Een uur krachttraining onderbroken door rust is geen uur hardlopen: het verschil loopt op tot honderden kcal over een trainingsweek.<\/p>\n      <p><strong>TEF.<\/strong> Cronometer kent je macro&rsquo;s tot op de gram, dat is zijn kracht. Lean gebruikt ze om de echte kost van je vertering te berekenen: 20 tot 30&nbsp;% voor eiwitten, 5 tot 10&nbsp;% voor koolhydraten, 1 tot 3&nbsp;% voor vetten, in plaats van een forfait van 10&nbsp;%.<\/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 flip\">\n    <div>\n      <div class=\"m-tag\">Automatische metabole adaptatie<\/div>\n      <h3>Een wereldprimeur in een consumentenapp<\/h3>\n      <p><strong>De metabole adaptatie.<\/strong> Geen enkele database, hoe schoon ook, detecteert dat je metabolisme na acht weken tekort 12&nbsp;% is vertraagd. Lean schat het week na week volgens de gepubliceerde marges (M\u00fcller 2015, Doucet 2001) en corrigeert je TDEE dienovereenkomstig.<\/p>\n      <p>Voorbij 10 tot 15&nbsp;% adaptatie kan de app een terugkeer naar onderhoud aanbevelen voordat je opnieuw in tekort gaat. Het protocol van de coaches, toegepast op jouw gegevens.<\/p>\n      <p>Geen activiteitsfactor om te kiezen. Elk onderdeel wordt gemeten, week na week.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><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\">Methode<strong>Metabole adaptatie<\/strong><\/div>\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; Vergelijkende tabel<\/span><\/div>\n  <h2 id=\"tab\">Lean tegenover Cronometer, criterium per criterium<\/h2>\n  <p>Eerlijke lezing van de sterke en zwakke punten van elke app. Geen enkel criterium gaat over de prijs.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#FDF1EA;border:1.5px solid #E15822;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-real-1.webp\" alt=\"Cronometer\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#E15822;letter-spacing:-0.2px\">Cronometer<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Vergelijking Lean tegenover Cronometer\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Criterium<\/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-cronometer-real-1.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Cronometer<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formule<\/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> Gepatenteerd eigen model (vetvrije massa)<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Mifflin-St Jeor 1990 standaard, Katch-McArdle optioneel (handmatig vetpercentage)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Houdt rekening met vetpercentage<\/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, gemeten in de app<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Handmatige invoer via Katch-McArdle, optioneel<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Meting van het vetpercentage in de app<\/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> Nee, externe DEXA\/huidplooimeter\/weegschaal vereist<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (stappen, activiteit buiten de 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> Elke dag berekend op echte stappen<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Active-modus voegt stap-kcal toe, maar buiten TDEE-herberekening<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (verbruik door inspanning)<\/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, effectieve tijd<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Handmatige invoer per training, zeer rijke oefeningendatabase<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (vertering)<\/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> Berekend op basis van macro&rsquo;s, ge\u00efntegreerd in de TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Macro&rsquo;s zeer precies getoond, TEF niet ge\u00efntegreerd in de TDEE<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabole adaptatie<\/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> Automatisch, week na week<\/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> Nee<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Activiteitsco\u00ebffici\u00ebnt te kiezen<\/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> Nee, berekend op echte gegevens<\/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, statische activiteitsfactor (sedentary tot extreme, PAL 1,2 tot 1,9)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoscan van een gerecht<\/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, onbeperkt<\/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> Nee, handmatige invoer of barcode<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Barcodescan<\/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\">Voedingsdatabase<\/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, gecureerd<\/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> NCCDB + USDA, 80+ micronutri\u00ebnten, de strengste van de markt<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aanbeveling calorietekort<\/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> Aangepast aan de echte 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> Vast doel, handmatige herberekening vereist<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Diepte micronutri\u00ebnten (80+ vit\/min\/AZ)<\/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> Macro&rsquo;s + calorie\u00ebn<\/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> 80+ micronutri\u00ebnten, NCCDB- en DRI\/RDA-referenties<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Grafieken vitamines, mineralen, omega, AZ<\/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> Buiten 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> Marktreferentie<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-dekking en lokalisatie<\/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 mid\">&minus;<\/span> Native Engels, FR\/ES\/PT optioneel, EN-first publiek<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Reputatie en grootte van het publiek<\/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+ gebruikers, jonge 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> 4.6\/5, 6M+ gebruikers, opgericht in 2011, geprezen door RD&rsquo;s en biohackers<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Bedrijfsmodel<\/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 dagen gratis proberen op het jaarabonnement<\/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> Freemium, Gold beschikbaar<\/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 methodes om een maaltijd te tracken<\/h2>\n  <p>De strengheid van Cronometer heeft een prijs: de invoertijd. Lean biedt drie registratiemethodes zodat de precisie niet wordt betaald met opgeven na zes weken.<\/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\">Methode 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\">Methode 2<strong>Barcode<\/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\">Methode 3<strong>AI-fotoscan<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Zoeken in de database.<\/strong> Gecureerde database, USDA + OpenFoodFacts. Geen communityruis, geen \u00ab&nbsp;Gebraden kip&nbsp;\u00bb 47 keer ingevoerd door 47 verschillende gebruikers met 47 verschillende waarden.<\/li>\n    <li><strong>Barcodescan.<\/strong> Standaard. Je scant je pak pasta, je krijgt de macro&rsquo;s.<\/li>\n    <li><strong>AI-fotoscan van een gerecht.<\/strong> Je fotografeert je bord, de AI herkent de voedingsmiddelen, je krijgt de calorie\u00ebn en macro&rsquo;s per voedingsmiddel.<\/li>\n  <\/ol>\n  <p>De AI-fotoscan is de directe aanvulling van een schone database: in het restaurant, zonder etiket of barcode, fotografeer je je bord in plaats van het recept ingredi\u00ebnt per ingredi\u00ebnt te reconstrueren.<\/p>\n  <p>Naast de maaltijd toont Lean een TDEE die in de loop van de dag evolueert met je stappen. Cronometer geeft je een exacte voedingsfoto; Lean voegt daar het verbruik in beweging aan toe.<\/p>\n  <p>En om te prioriteren, de Progressiepiramide:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Lean-Progressiepiramide\">\n    <div class=\"level l1\"><span>Therapietrouw<\/span><span class=\"k\">Basis<\/span><\/div>\n    <div class=\"level l2\"><span>Caloriedoel<\/span><span class=\"k\">Verdieping 2<\/span><\/div>\n    <div class=\"level l3\"><span>Stappen \/ NEAT<\/span><span class=\"k\">Verdieping 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutri\u00ebnten<\/span><span class=\"k\">Top<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Sla geen stappen over. Als je niet regelmatig trackt, heeft het geen zin om je macro&rsquo;s tot op de procent te optimaliseren.<\/div>\n<\/section>\n\n<section aria-labelledby=\"cronometer-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Eerlijkheid<\/span><\/div>\n  <h2 id=\"cronometer-better\">Wat Cronometer beter doet<\/h2>\n  <p>Lean is niet perfect, en Cronometer heeft meerdere echte sterke punten die erkend moeten worden. Eerlijke lezing, criterium per criterium, op de assen waar Cronometer voorblijft. Geen van die assen is bijkomstig: het zijn echte pijlers van de Cronometer-belofte.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Cronometer face \u00e0 Lean sur 4 axes nutrition\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">As<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-real-1.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Cronometer<\/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\">Diepte micronutri\u00ebnten (80+)<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:97%\"><\/i><\/div><div class=\"v\">9,7<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:35%\"><\/i><\/div><div class=\"v\">3,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Kwaliteit van de voedingsdatabase<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:78%\"><\/i><\/div><div class=\"v\">7,8<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Opvolging van oefeningen per training<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Adoptie door RD&rsquo;s en zorgprofessionals<\/div>\n      <div class=\"bar mfp\" data-brand=\"CRONOMETER\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Eerlijke lezing.<\/strong> Op micronutri\u00ebnten is Cronometer de absolute referentie: 80+ vitamines, mineralen, omega-3\/6, essenti\u00eble en niet-essenti\u00eble aminozuren, met weergave in percentage van de DRI\/RDA en trendgrafieken. Geen enkele andere consumentenapp komt in de buurt van die diepte. Lean toont de macro&rsquo;s en de calorie\u00ebn, dat is alles. Op de voedingsdatabase steunt Cronometer op NCCDB (de strengste database van de consumentenmarkt, met de hand gecureerd door hun team), plus USDA en IFNDC. Lean steunt op USDA en gecureerde OpenFoodFacts, wat het dagelijkse gebruik goed dekt maar niet zo ver gaat in de kwaliteit van exotische items of bewerkte producten. Op professionele adoptie wordt Cronometer door heel veel di\u00ebtisten (RD&rsquo;s) en sportcoaches gebruikt als referentietool voor de wekelijkse micronutri\u00ebntenbalans van hun cli\u00ebnten.<\/p>\n  <p>Als je hoofdinvalshoek micronutri\u00ebntenoptimalisatie is (pre-competitie, restrictief dieet zoals veganistisch of streng keto, preventie van ijzer\/B12\/D-tekorten), of als je een tool nodig hebt die je RD of coach in consult kan auditen, is Cronometer relevanter dan Lean. Als je invalshoek de precisie van de <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">TDEE-berekening<\/a>, het wekelijks gemeten vetpercentage via AI BodyScan, en de automatische metabole adaptatie is, is dat precies wat in de 3 vorige secties net is aangetoond. Veel gevorderde gebruikers laten beide apps parallel draaien, en dat is volkomen verdedigbaar.<\/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; Voor wie<\/span><\/div>\n  <h2 id=\"forwho\">Voor wie Lean gemaakt is<\/h2>\n  <p>Vier profielen. Als een ervan bij je past, heeft Lean een goede kans om bij je te passen.<\/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>Je hebt Cronometer serieus gebruikt en bent niet afgevallen<\/h4>\n        <p>Je houdt een rigoureus voedingsdagboek bij, je kent je micronutri\u00ebnten, en toch volgt het vetverlies niet.<\/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>Je stagneert na meerdere weken cut<\/h4>\n        <p>Het plateau verschijnt na vier tot acht weken terwijl je invoer onberispelijk is. Dat is de metabole adaptatie: ze betreft het verbruik, niet de inname.<\/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>Je wilt je metabolisme begrijpen<\/h4>\n        <p>Je wilt dezelfde analytische strengheid aan de verbruikskant: BMR, NEAT, EAT en TEF uitgesplitst, adaptatie apart behandeld.<\/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>Je wilt een tracking die 12 maanden standhoudt<\/h4>\n        <p>Je wilt de invoertijd verminderen zonder betrouwbaarheid op te geven: foto, gecureerde database of barcode naargelang de situatie.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Cronometer blijft relevanter voor<\/strong>&nbsp;: de doorgedreven micronutri\u00ebntenopvolging (vitamines, mineralen, omega, aminozuren), restrictieve di\u00ebten (veganistisch, keto, low-FODMAP) waar preventie van tekorten kritiek is, of de balans die je met je di\u00ebtist deelt. De precisie van de TDEE-berekening en de metabole adaptatie maken gewoon geen deel uit van zijn hoofdbelofte.<\/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; Migratie<\/span><\/div>\n  <h2 id=\"migrate\">In 3 minuten overstappen van Cronometer naar Lean (of beide gebruiken)<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Download Lean<\/h4><p>App Store of Play Store. Inschrijving in dertig seconden.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>E\u00e9n foto, vijf seconden: je vetpercentage verschijnt, zonder DEXA of handmatige invoer.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Gewicht &amp; lengte<\/h4><p>Je voert je gewicht en lengte in, en de berekening start.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean berekent<\/h4><p>BMR op gemeten vetvrije massa, NEAT uit je stappen via HealthKit of Google Fit, EAT per MET, TEF op je macro&rsquo;s, en de metabole adaptatie week na week gevolgd.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Track een maaltijd<\/h4><p>Foto, barcode of gecureerde database: de invoer past zich aan de context aan.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Belangrijke opmerking.<\/strong> Lean importeert je Cronometer-geschiedenis niet automatisch, en ook je aangepaste voedingsmiddelen niet. Als je parallel een wekelijkse micronutri\u00ebntenopvolging wilt behouden, blijven veel gevorderde gebruikers 1 of 2 dagen per week loggen in Cronometer voor de vitaminecheck, terwijl ze Lean dagelijks gebruiken voor de TDEE en de hoofdtracking. De HealthKit \/ Google Health Connect-synchronisatie neemt het meteen over voor je stappen en je activiteitsgeschiedenis.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Download Lean en begin nu meteen met de AI BodyScan. Gratis inschrijving.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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; Wat Lean ontgrendelt<\/span><\/div>\n  <h2 id=\"deblock-h\">Wat Lean doet, en wat Cronometer niet doet (op de TDEE)<\/h2>\n  <p>Zes functies gericht op verbruik, waar de meeste tools hun precisie op de inname concentreren.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Onbeperkte AI BodyScan<\/div><p class=\"fd\">Je vetpercentage elke week gemeten vanaf een foto. Het gegeven dat de Katch-McArdle-vergelijking vraagt, automatisch geproduceerd in plaats van met de hand ingevoerd.<\/p><\/div><div class=\"fc\">Vetpercentage<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Onbeperkte AI-fotoscan van een gerecht<\/div><p class=\"fd\">Een maaltijd in twee seconden geregistreerd per foto, waar een recept ingredi\u00ebnt per ingredi\u00ebnt reconstrueren meerdere minuten zou duren.<\/p><\/div><div class=\"fc\">Therapietrouw<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatische metabole adaptatie<\/div><p class=\"fd\">Je TDEE corrigeert zich week na week volgens de gepubliceerde marges. Geen enkel voedingsdagboek, hoe precies ook, detecteert die afwijking.<\/p><\/div><div class=\"fc\">Adaptatie<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live uitgesplitste TDEE<\/div><p class=\"fd\">BMR, NEAT, EAT en TEF apart getoond en bijgewerkt in de loop van de dag: dezelfde analytische strengheid toegepast op het verbruik.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Volledige geschiedenis en trends<\/div><p class=\"fd\">Je trends in gewicht, vetmassa en vetvrije massa over meerdere maanden, om je cycli te lezen voorbij de dagelijkse variatie.<\/p><\/div><div class=\"fc\">Geschiedenis<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 ge\u00efntegreerde trackingmethodes<\/div><p class=\"fd\">Een hi\u00ebrarchie van prioriteiten: therapietrouw, caloriedoel, stappen. Nuttig wanneer de data overvloedig is en je moet weten waar te beginnen.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Je installeert de app gratis, je test zonder verplichting en je beslist daarna of de tool bij je doel past.<\/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\">Veelgestelde vragen<\/h2>\n  <div class=\"faq\">\n    <details><summary>Cronometer is de micronutri\u00ebntenreferentie, waarom het met Lean vergelijken op de TDEE?<\/summary><div class=\"ans\">Cronometer is de marktreferentie voor de 80+ micronutri\u00ebnten dankzij de NCCDB-database. Maar zijn hoofdbelofte blijft de calorieopvolging en het TDEE-doel. Op dat precieze punt gebruikt Cronometer Mifflin-St Jeor 1990 zonder vetpercentage (de Katch-McArdle-optie bestaat maar vereist een handmatig ingevoerd vetpercentage) en een statische activiteitsfactor gekozen bij de inschrijving. Het zijn twee complementaire tools: Cronometer voor de micronutri\u00ebntendiepte, Lean voor de precisie van de TDEE-berekening.<\/div><\/details>\n    <details><summary>Waarom berekent Cronometer de BMR standaard niet op het echte vetpercentage?<\/summary><div class=\"ans\">Cronometer biedt een Katch-McArdle-optie die rekening houdt met de vetvrije massa, maar die optie vereist dat je je vetpercentage handmatig invoert (DEXA, huidplooimeter of schatting). Geen meting ge\u00efntegreerd in de app. De grote meerderheid van de gebruikers blijft dus bij de standaard Mifflin-St Jeor-berekening. Lean integreert de AI BodyScan om je vetpercentage vanaf een simpele foto te meten, wekelijks te herhalen, wat de berekening op vetvrije massa echt bruikbaar maakt in het dagelijks leven.<\/div><\/details>\n    <details><summary>Trackt Lean de micronutri\u00ebnten zoals Cronometer?<\/summary><div class=\"ans\">Niet met dezelfde diepte. Cronometer toont 80+ micronutri\u00ebnten (vitamines A tot K, mineralen, omega-3\/6, essenti\u00eble aminozuren) dankzij de NCCDB-database. Lean toont de macro&rsquo;s (eiwitten, koolhydraten, vetten) en de calorie\u00ebn, gebaseerd op USDA + OpenFoodFacts. Als je hoofdinvalshoek micronutri\u00ebntenoptimalisatie of preventie van tekorten is, is Cronometer relevanter. Als je invalshoek de precisie van de TDEE-berekening en lichaamsrecompositie is, is Lean relevanter.<\/div><\/details>\n    <details><summary>Cronometer importeert de stappen via HealthKit, volstaat dat voor de NEAT?<\/summary><div class=\"ans\">Cronometer importeert de stappen en de activiteit via Apple Health en Google Fit, maar gebruikt ze om een inspanningsverbruik te schatten dat bij het dagelijkse caloriedoel wordt opgeteld. De statische activiteitsfactor gekozen bij de inschrijving (sedentary, light, moderate, heavy, extreme) blijft de basis van de TDEE-berekening. Lean daarentegen berekent de NEAT rechtstreeks op basis van de echte stappen die elke dag worden gemeten, zonder co\u00ebffici\u00ebnt om te kiezen.<\/div><\/details>\n    <details><summary>Is Lean freemium of betaald?<\/summary><div class=\"ans\">Lean is Premium, met 7 dagen gratis proberen op het jaarabonnement. Je downloadt, je test de AI BodyScan, de AI-fotoscan van een gerecht, de TDEE-recompositie, zonder verplichting. Als de tool bij je doel past, ga je door. Zo niet, dan schakel je de verlenging uit voor het einde van de proefperiode.<\/div><\/details>\n    <details><summary>Kun je Lean en Cronometer parallel gebruiken?<\/summary><div class=\"ans\">Ja, beide tools zijn complementair op het vlak van voeding. Veel gevorderde gebruikers (RD&rsquo;s, biohackers, atleten) beheren hun TDEE en hun recompositie in Lean, en doen een wekelijkse micronutri\u00ebntencheck in Cronometer om tekorten op te sporen. De databases zijn verschillend (USDA + OpenFoodFacts bij Lean, NCCDB + USDA bij Cronometer), dus de inspanning van dubbele invoer is re\u00ebel: het is een afweging volgens je prioriteiten.<\/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; Conclusie<\/span><\/div>\n  <h2 id=\"conclu\">1990 tegenover 2026<\/h2>\n  <p>Het is geen marketingduel. Het is de precisie van de inname tegenover de precisie van het verbruik: twee complementaire eisen.<\/p>\n  <p>Cronometer blijft onverslaanbaar voor wie zijn micronutri\u00ebnten wil volgen met een rigoureuze USDA-database en een actieve wetenschappelijke community.<\/p>\n  <p>Lean behandelt de andere helft van de berekening: een metabolisme berekend op de vetvrije massa gemeten via AI BodyScan met een gepatenteerd eigen model, een NEAT uit je echte stappen, een EAT per MET, een TEF op je macro&rsquo;s, en de metabole adaptatie week na week gevolgd.<\/p>\n  <p>De kwaliteit van de voedingsdatabase en de analytische diepte blijven de sterke punten van Cronometer. Als je dagboek onberispelijk is en de vooruitgang is gestopt, moet je aan de verbruikskant zoeken.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean is gratis te downloaden<\/h3>\n  <p>iOS en Android. De AI BodyScan werkt met een simpele foto: geen huidplooimeter, geen impedantieweegschaal, geen DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Verder lezen<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne links<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">Gratis online TDEE-calculator<\/a> &middot; webversie, zonder inschrijving, dezelfde logica als de app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">De TDEE in detail begrijpen (BMR, NEAT, EAT, TEF, adaptatie)<\/a> &middot; diepgaand wetenschappelijk artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/\">Hoe je je calorie\u00ebn correct telt<\/a> &middot; praktische gids voor beginners.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT: verbruik per stap en activiteit buiten de sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF: de vertering verbrandt calorie\u00ebn<\/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\">Bronnen<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografie<\/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>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n    <li>Schakel S.F., Sievert Y.A., Buzzard I.M. (1988). Sources of data for developing and maintaining a nutrient database (NCCDB). Journal of the American Dietetic Association.<\/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 gepubliceerd in 2026, regelmatig bijgewerkt met feedback van gebruikers en nieuwe relevante studies. Lean is beschikbaar op iOS en Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-cronometer\" 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\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\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 chartInit(){\n  if (typeof Chart === 'undefined' || !window['chartjs-plugin-annotation']) { return setTimeout(chartInit, 60); }\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 LEAN_LANG = (((document.documentElement && document.documentElement.lang)||'').toLowerCase().indexOf('en')===0 || location.pathname.indexOf('\/en\/')===0) ? 'en' : 'fr';\n  function T(fr,en){return LEAN_LANG==='en'?en:fr;}\n\n  var CRONO = '#E15822';\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 Cronometer (2500) au sommet de la barre Lean (2000) 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 Cronometer\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  \/\/ v13.0: eager init (was lazy IntersectionObserver, caused screenshot\/timing issues)\n  function buildAll(){\n    if (document.getElementById('chartBMR'))   { try { buildBMR(); }   catch(e){ console.error('buildBMR', e); } }\n    if (document.getElementById('chartNEAT'))  { try { buildNEAT(); }  catch(e){ console.error('buildNEAT', e); } }\n    if (document.getElementById('chartAdapt')) { try { buildAdapt(); } catch(e){ console.error('buildAdapt', e); } }\n  }\n  if (document.readyState === 'loading') {\n    document.addEventListener('DOMContentLoaded', function(){ requestAnimationFrame(buildAll); });\n  } else {\n    requestAnimationFrame(buildAll);\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 LEAN_LANG==='en'?n.toLocaleString('en-US'):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: T(['CRONOMETER\\nMifflin 1990', 'LEAN\\nBrevet\u00e9'],['CRONOMETER\\nMifflin 1990', 'LEAN\\nPatented']),\n        datasets: [{\n          data: [2500, 2000],\n          backgroundColor: [CRONO, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:56, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblCRONO:{type:'label',xValue:0,yValue:2670,content:['2 500'],font:{family:'-apple-system',size:24,weight:'700'},color:INK,xAdjust:-22,yAdjust:-4},\n              lblLEAN:{type:'label',xValue:1,yValue:2170,content:['2 000'],font:{family:'-apple-system',size:24,weight:'700'},color:PINK,xAdjust:24,yAdjust:-4},\n              delta:{type:'label',xValue:0.5,yValue:2750,content:['\u2212500 kcal'],font:{family:'-apple-system',size:12,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:14,padding:{x:11,y:5},xAdjust:0,yAdjust:5\/*v17OV*\/}\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:2900,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:1000,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 = T(['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'],['Mon','Tue','Wed','Thu','Fri','Sat','Sun']);\n    var real   = [2100, 2350, 2080, 2950, 2200, 3200, 1800];\n    new Chart(ctx, {\n      type: 'line',\n      data: {\n        labels: labels,\n        datasets: [\n          {label:T('Lean \u00b7 d\u00e9pense r\u00e9elle','Lean \u00b7 actual expenditure'),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:T('Cronometer \u00b7 objectif fixe 2 400 kcal','Cronometer \u00b7 flat 2,400 kcal target'),data:[2400,2400,2400,2400,2400,2400,2400],borderColor:CRONO,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1000, easing:'easeOutQuart'},\n        layout:{padding:{top:function(c){return c.chart.width>=540?80:18;},bottom:function(c){return c.chart.width>=540?34:22;},left:function(c){return c.chart.width>=540?32:8;},right:function(c){return c.chart.width>=540?64:6;}}},\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:3450,content:function(c){return c.chart.width>=540?T(['Disneyland 15 km','+800 kcal'],['Disneyland 15 km','+800 kcal']):T(['Disneyland','+800 kcal'],['Disneyland','+800 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:function(c){return c.chart.width>=540?3300:2800;},content:function(c){return c.chart.width>=540?T(['Footing + bureau debout'],['Jogging + standing desk']):T(['Footing','bureau debout'],['Jogging','standing desk']);},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:1620,content:function(c){return c.chart.width>=540?T(['Canap\u00e9 Netflix','\u2212600 kcal'],['Netflix on the couch','\u2212600 kcal']):T(['Canap\u00e9','\u2212600 kcal'],['Couch','\u2212600 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            cronoTag:{type:'label',xValue:function(c){return c.chart.width>=540?0.55:1.0;},yValue:function(c){return c.chart.width>=540?2510:2750;},content:function(c){return c.chart.width>=540?T(['Cronometer fixe : 2 400'],['Cronometer flat: 2,400']):T(['Cronometer fixe','2 400'],['Cronometer flat','2,400']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:CRONO,borderRadius:10,padding:{x:9,y:4},xAdjust:function(c){var w=c.chart.width;return w>=540?xAdj(0.55,78,0)(c):xAdj(1.0,42,0)(c);}}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1400,max:3800,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 = T(['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'],['W.1','W.2','W.3','W.4','W.5','W.6','W.7','W.8']);\n    var lean = [2500, 2470, 2420, 2350, 2280, 2230, 2180, 2150];\n    var crono = [2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:T('Lean \u00b7 TDEE r\u00e9elle adapt\u00e9e','Lean \u00b7 actual adapted TDEE'),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:T('Cronometer \u00b7 objectif fig\u00e9','Cronometer \u00b7 frozen target'),data:crono,borderColor:CRONO,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1100, easing:'easeOutQuart'},\n        layout:{padding:{top:function(c){return c.chart.width>=540?72:18;},bottom:function(c){return c.chart.width>=540?28:22;},left:function(c){return c.chart.width>=540?64:8;},right:function(c){return c.chart.width>=540?64:6;}}},\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:function(c){return c.chart.width>=540?5.6:3.5;},yValue:function(c){return c.chart.width>=540?2100:2300;},content:function(c){return c.chart.width>=540?T(['Adaptation m\u00e9tabolique','\u221214 %'],['Metabolic adaptation','\u221214%']):T(['Adaptation','m\u00e9tabolique','\u221214 %'],['Metabolic','adaptation','\u221214%']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:function(c){var w=c.chart.width;return w>=540?xAdj(5.6,72,-95)(c):xAdj(3.5,40,-10)(c);}},\n            cronoStill:{type:'label',xValue:function(c){return c.chart.width>=540?0.7:1.3;},yValue:2570,content:function(c){return c.chart.width>=540?T(['Cronometer : 2 500 fig\u00e9'],['Cronometer: 2,500 frozen']):T(['Cronometer fig\u00e9','2 500'],['Cronometer frozen','2,500']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:CRONO,borderRadius:10,padding:{x:9,y:4},xAdjust:function(c){var w=c.chart.width;return w>=540?xAdj(0.7,80,0)(c):xAdj(1.3,42,0)(c);}},\n            start:{type:'label',xValue:0,yValue:2630,content:['2 500'],font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:xAdj(0,22,22),yAdjust:-13},\n            end:{type:'label',xValue:7,yValue:2080,content:['2 150'],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:2000,max:2700,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><\/div>\n<script data-wpmeteor-nooptimize=\"true\">\n(function shrinkAnnotationsOnMobile(){\n  if (typeof window.Chart === 'undefined') { return setTimeout(shrinkAnnotationsOnMobile, 100); }\n  var isMobile = window.matchMedia && window.matchMedia('(max-width:540px)').matches;\n  if (!isMobile) return;\n  function apply(){\n    ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n      var c = window.Chart.getChart(id);\n      if (!c) return;\n      var anns = c.options && c.options.plugins && c.options.plugins.annotation && c.options.plugins.annotation.annotations;\n      if (!anns) return;\n      Object.keys(anns).forEach(function(k){\n        var a = anns[k];\n        if (a.type !== 'label' || !a.font) return;\n        \/\/ Numeric labels are small text. Big fonts (>=14) get shrunk to 13.\n        if (a.font.size >= 20) { a.font.size = 14; }\n        else if (a.font.size >= 14) { a.font.size = 12; }\n      });\n      try { c.update('none'); } catch(e){}\n    });\n  }\n  \/\/ Try a few times to catch all charts as they instantiate\n  var tries = 0;\n  function tryApply(){\n    apply();\n    tries++;\n    if (tries < 20) setTimeout(tryApply, 300);\n  }\n  tryApply();\n})();\n<\/script>\n\n\n\n<!-- lean-mesh-v16 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Lees ook<\/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\/nl\/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;\">Basaal metabolisme (BMR): alles wat je moet weten om het te berekenen <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definitie, TDEE-vergelijking, 4 historische formules, waarom het vetpercentage alles verandert.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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;\">Totaal energieverbruik (TDEE): de canonieke formule BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Begrijp de 4 bouwstenen + de metabole adaptatie, wetenschappelijke bronnen 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: je echte sportverbruik, training per training <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">De juiste MET, de valkuil van dubbeltelling, wat Garmin en MyFitnessPal missen.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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 beste apps om calorie\u00ebn te tellen in 2026: 8 apps getest <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\/nl\/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;\">Welk alternatief voor MyFitnessPal in 2026? 5 apps getest <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Eerlijke vergelijking, TDEE-precisie, ergonomie.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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 vergelijkingen van Lean tegenover de grote calorie-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\/nl\/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 tegenover MyFitnessPal: de TDEE-formule die alles verandert <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Waarom MFP zich vergist over je echte calorieverbruik.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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 tegenover Foodvisor: pionier van de fotoscan vs echt verbruik <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Foodvisor ziet je bord. Lean stelt je TDEE continu opnieuw samen.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Cronometer Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Cronometer. La r\u00e9f\u00e9rence micronutriments face au seul qui recompose ton TDEE en continu. Cronometer voit tes vitamines. Lean voit ta d\u00e9pense r\u00e9elle. Deux profondeurs, deux promesses. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 21 mai 2026 T\u00e9l\u00e9chargement [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1384,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1379","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean tegenover Cronometer: micronutri\u00ebntendiepte tegenover TDEE-precisie (2026)<\/title>\n<meta name=\"description\" content=\"Cronometer ziet 80+ micronutri\u00ebnten. Maar voor je TDEE blijft het bij Mifflin-St Jeor 1990 zonder vetpercentage. Lean herberekent BMR + NEAT + EAT + TEF op je echte vetpercentage.\" \/>\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\/nl\/lean-vs-cronometer\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE\" \/>\n<meta property=\"og:description\" content=\"Cronometer fixe ton objectif sur Mifflin 1990. Lean recalcule chaque jour sur ton bodyfat r\u00e9el. 2 000 face \u00e0 2 500 kcal.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/nl\/lean-vs-cronometer\/\" \/>\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=\"2026-05-23T16:30:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-05T10:53:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Lean face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE\" \/>\n<meta name=\"twitter:description\" content=\"Cronometer fixe ton objectif sur Mifflin 1990. Lean recalcule chaque jour sur ton bodyfat r\u00e9el.\" \/>\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=\"23 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-cronometer\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Lean vs Cronometer : la pr\u00e9cision micronutrition contre le TDEE complet\",\"datePublished\":\"2026-05-23T16:30:45+00:00\",\"dateModified\":\"2026-09-05T10:53:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/\"},\"wordCount\":4769,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png\",\"articleSection\":[\"Comparateurs\"],\"inLanguage\":\"nl-NL\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-cronometer\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/\",\"url\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/\",\"name\":\"Lean face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE (2026)\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png\",\"datePublished\":\"2026-05-23T16:30:45+00:00\",\"dateModified\":\"2026-09-05T10:53:45+00:00\",\"description\":\"Cronometer voit 80+ micronutriments. Mais sur ton TDEE, il reste sur Mifflin-St Jeor 1990 sans bodyfat. Lean recalcule BMR + NEAT + EAT + TEF sur ton bodyfat r\u00e9el.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#breadcrumb\"},\"inLanguage\":\"nl-NL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-cronometer\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"nl-NL\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png\",\"width\":1200,\"height\":630},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-cronometer\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean vs Cronometer : la pr\u00e9cision micronutrition contre le TDEE complet\"}]},{\"@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\":\"nl-NL\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"nl-NL\",\"@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 tegenover Cronometer: micronutri\u00ebntendiepte tegenover TDEE-precisie (2026)","description":"Cronometer ziet 80+ micronutri\u00ebnten. Maar voor je TDEE blijft het bij Mifflin-St Jeor 1990 zonder vetpercentage. Lean herberekent BMR + NEAT + EAT + TEF op je echte vetpercentage.","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\/nl\/lean-vs-cronometer\/","og_locale":"nl_NL","og_type":"article","og_title":"Lean face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE","og_description":"Cronometer fixe ton objectif sur Mifflin 1990. Lean recalcule chaque jour sur ton bodyfat r\u00e9el. 2 000 face \u00e0 2 500 kcal.","og_url":"https:\/\/lean-app.com\/nl\/lean-vs-cronometer\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-23T16:30:45+00:00","article_modified_time":"2026-09-05T10:53:45+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png","type":"image\/png"}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_title":"Lean face \u00e0 Cronometer : profondeur micronutriments contre pr\u00e9cision TDEE","twitter_description":"Cronometer fixe ton objectif sur Mifflin 1990. Lean recalcule chaque jour sur ton bodyfat r\u00e9el.","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"23 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Lean vs Cronometer : la pr\u00e9cision micronutrition contre le TDEE complet","datePublished":"2026-05-23T16:30:45+00:00","dateModified":"2026-09-05T10:53:45+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/"},"wordCount":4769,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png","articleSection":["Comparateurs"],"inLanguage":"nl-NL","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/lean-vs-cronometer\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/","url":"https:\/\/lean-app.com\/lean-vs-cronometer\/","name":"Lean tegenover Cronometer: micronutri\u00ebntendiepte tegenover TDEE-precisie (2026)","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png","datePublished":"2026-05-23T16:30:45+00:00","dateModified":"2026-09-05T10:53:45+00:00","description":"Cronometer ziet 80+ micronutri\u00ebnten. Maar voor je TDEE blijft het bij Mifflin-St Jeor 1990 zonder vetpercentage. Lean herberekent BMR + NEAT + EAT + TEF op je echte vetpercentage.","breadcrumb":{"@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#breadcrumb"},"inLanguage":"nl-NL","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/lean-vs-cronometer\/"]}]},{"@type":"ImageObject","inLanguage":"nl-NL","@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/crono-og-image.png","width":1200,"height":630},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/lean-vs-cronometer\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Lean vs Cronometer : la pr\u00e9cision micronutrition contre le TDEE complet"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Download, probeer de app GRATIS en neem je lichaam VOOR ALTIJD in eigen handen.","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":"nl-NL"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"nl-NL","@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\/nl\/wp-json\/wp\/v2\/posts\/1379","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/comments?post=1379"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/posts\/1379\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/media\/1384"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/media?parent=1379"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/categories?post=1379"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/nl\/wp-json\/wp\/v2\/tags?post=1379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}