{"id":1675,"date":"2026-05-28T08:21:54","date_gmt":"2026-05-28T08:21:54","guid":{"rendered":"https:\/\/lean-app.com\/?p=1675"},"modified":"2026-09-08T18:17:32","modified_gmt":"2026-09-08T18:17:32","slug":"effet-thermique-des-aliments","status":"publish","type":"post","link":"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/","title":{"rendered":"Thermischer Effekt der Nahrung (TEF): warum Lean 69 kcal berechnet, die andere Apps ignorieren"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --mfp:#A8A192;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  --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}\n\n\/* Calculator-specific styles, scoped #lvm-shell *\/\n#lvm-shell .calc-board{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n@media(min-width:780px){#lvm-shell .calc-board{grid-template-columns:1fr 1fr;gap:24px}}\n#lvm-shell .calc-inputs{background:#FAF7F2;border-radius:14px;padding:22px;border:1px solid var(--rule-soft)}\n#lvm-shell .calc-inputs h3{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 16px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .calc-row{margin:0 0 14px}\n#lvm-shell .calc-row label{display:block;font-size:13px;color:var(--muted);margin-bottom:6px;font-weight:500}\n#lvm-shell .calc-row input,#lvm-shell .calc-row select{width:100%;padding:11px 13px;border:1px solid var(--rule);border-radius:9px;font-size:16px;background:#fff;color:var(--ink);font-family:var(--font-text);box-sizing:border-box}\n#lvm-shell .calc-row input:focus,#lvm-shell .calc-row select:focus{outline:2px solid var(--pink);outline-offset:1px;border-color:var(--pink)}\n#lvm-shell .calc-sex{display:flex;gap:8px}\n#lvm-shell .calc-sex label{flex:1;display:flex;align-items:center;justify-content:center;gap:6px;padding:11px 8px;background:#fff;border:1px solid var(--rule);border-radius:9px;cursor:pointer;margin:0;font-size:14px;font-weight:500;color:var(--ink)}\n#lvm-shell .calc-sex input{display:none}\n#lvm-shell .calc-sex input:checked + span{color:var(--pink);font-weight:600}\n#lvm-shell .calc-sex label:has(input:checked){border-color:var(--pink);background:var(--pink-soft)}\n#lvm-shell .calc-bf{display:flex;align-items:center;gap:10px}\n#lvm-shell .calc-bf input[type=range]{flex:1;accent-color:var(--pink);height:6px}\n#lvm-shell .calc-bf .bf-val{font-weight:600;color:var(--pink);min-width:42px;font-family:var(--font-mono);font-size:15px}\n#lvm-shell .calc-results{display:grid;grid-template-columns:1fr;gap:12px}\n#lvm-shell .calc-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px}\n#lvm-shell .calc-card.lean{border-left:4px solid var(--pink);background:linear-gradient(90deg,var(--pink-soft),#fff 30%)}\n#lvm-shell .calc-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono)}\n#lvm-shell .calc-card .formula{font-size:13px;color:var(--dim);margin-top:2px}\n#lvm-shell .calc-card .result{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.025em;margin-top:8px;color:var(--ink);line-height:1}\n#lvm-shell .calc-card .result .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-card.lean .result{color:var(--pink)}\n#lvm-shell .calc-delta{margin-top:10px;padding:12px 14px;background:#fff;border:1px dashed var(--pink);border-radius:10px;font-size:14px;color:var(--ink)}\n#lvm-shell .calc-delta b{color:var(--pink);font-family:var(--font-mono)}\n#lvm-shell .calc-note{margin-top:14px;font-size:13px;color:var(--muted);line-height:1.5}\n#lvm-shell .calc-note a{color:var(--pink);text-decoration:underline}\n\n\/* Statement block *\/\n#lvm-shell .statement{margin:54px 0;padding:48px 32px;background:#FAF7F2;border-radius:18px;text-align:center}\n#lvm-shell .statement p{font-family:var(--font-display);font-size:34px;line-height:1.2;font-weight:500;letter-spacing:-.025em;color:var(--ink);margin:0;max-width:680px;margin-inline:auto}\n#lvm-shell .statement .accent{color:var(--pink)}\n@media(max-width:640px){#lvm-shell .statement{padding:38px 22px}#lvm-shell .statement p{font-size:24px}}\n\n\/* Profil cards (no scrollable table) *\/\n#lvm-shell .profile-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:32px 0}\n#lvm-shell .profile-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:20px 22px}\n#lvm-shell .profile-card h4{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .profile-card .meta{font-size:13px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .profile-card .rows{display:grid;grid-template-columns:1fr;gap:6px}\n#lvm-shell .profile-card .rw{display:grid;grid-template-columns:1fr auto;gap:10px;padding:8px 12px;background:#FAF7F2;border-radius:8px;font-size:14px;align-items:center}\n#lvm-shell .profile-card .rw .v{font-family:var(--font-mono);font-weight:600;color:var(--ink);font-size:13px}\n#lvm-shell .profile-card .rw.lean{background:var(--pink-soft);border-left:3px solid var(--pink)}\n#lvm-shell .profile-card .rw.lean .v{color:var(--pink)}\n#lvm-shell .profile-card .delta{font-size:12px;color:var(--dim);margin-top:8px}\n\n\/* Comparator cards (3 formulas pros\/cons) *\/\n#lvm-shell .compar-grid{display:grid;grid-template-columns:1fr;gap:16px;margin:24px 0}\n#lvm-shell .compar-card{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px}\n#lvm-shell .compar-card.lean{border-left:4px solid var(--pink)}\n#lvm-shell .compar-card h4{font-family:var(--font-display);font-size:18px;font-weight:600;margin:0 0 4px;color:var(--ink)}\n#lvm-shell .compar-card .year{font-size:12px;color:var(--muted);font-family:var(--font-mono);margin-bottom:14px;letter-spacing:.04em}\n#lvm-shell .compar-card .desc{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 12px}\n#lvm-shell .compar-card .pros,#lvm-shell .compar-card .cons{margin:6px 0;font-size:13px;line-height:1.5}\n#lvm-shell .compar-card .pros{color:var(--green)}\n#lvm-shell .compar-card .cons{color:var(--red)}\n#lvm-shell .compar-card .pros b,#lvm-shell .compar-card .cons b{display:inline-block;width:18px}\n\n\/* Pyramide section *\/\n#lvm-shell .pyramide-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .pyramide-illust img{width:100%;border-radius:18px;box-shadow:0 12px 32px rgba(20,20,40,.12)}\n#lvm-shell .pyramide-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .pyramide-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* FAQ details *\/\n#lvm-shell details.faq{background:#fff;border:1px solid var(--rule);border-radius:10px;margin:8px 0;overflow:hidden}\n#lvm-shell details.faq summary{padding:16px 20px;font-weight:600;font-size:16px;color:var(--ink);cursor:pointer;list-style:none;position:relative;padding-right:48px;font-family:var(--font-display);letter-spacing:-.01em}\n#lvm-shell details.faq summary::-webkit-details-marker{display:none}\n#lvm-shell details.faq summary::after{content:\"+\";position:absolute;right:20px;top:50%;transform:translateY(-50%);color:var(--pink);font-size:22px;font-weight:300;line-height:1}\n#lvm-shell details.faq[open] summary::after{content:\"\u2212\"}\n#lvm-shell details.faq .faq-body{padding:0 20px 18px;font-size:15px;line-height:1.65;color:var(--ink-2)}\n#lvm-shell details.faq .faq-body p{margin:0 0 8px}\n\n\/* Sources *\/\n#lvm-shell .sources{margin:48px 0 32px;padding:24px;background:#FAF7F2;border-radius:14px;font-size:13px;line-height:1.6;color:var(--muted)}\n#lvm-shell .sources h4{font-family:var(--font-display);font-size:14px;font-weight:600;margin:0 0 10px;color:var(--ink);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .sources a{color:var(--pink);text-decoration:none}\n#lvm-shell .sources a:hover{text-decoration:underline}\n#lvm-shell .sources ol{margin:0;padding-left:22px}\n#lvm-shell .sources li{margin:4px 0}\n\n\/* BodyScan illust *\/\n#lvm-shell .bodyscan-illust{margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px}\n#lvm-shell .bodyscan-illust .mini-phone{max-width:200px;padding:3px;border:1px solid rgba(255,255,255,.07);border-radius:22px;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);box-shadow:0 18px 36px rgba(0,0,0,.14);position:relative}\n#lvm-shell .bodyscan-illust .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .bodyscan-illust .mini-phone .scr img{width:100%;height:100%;object-fit:cover;display:block}\n#lvm-shell .bodyscan-cap{font-size:13px;color:var(--muted);text-align:center;line-height:1.5}\n#lvm-shell .bodyscan-cap b{display:block;color:var(--ink);font-weight:600;margin-bottom:3px}\n\n\/* Body copy paragraphs *\/\n#lvm-shell h2.sect{font-family:var(--font-display);font-size:34px;font-weight:600;letter-spacing:-.03em;margin:64px 0 16px;line-height:1.15;color:var(--ink)}\n#lvm-shell h2.sect .num{font-family:var(--font-mono);font-size:13px;font-weight:500;color:var(--pink);display:block;text-transform:uppercase;letter-spacing:.08em;margin-bottom:6px;-webkit-font-smoothing:antialiased}\n#lvm-shell h3.sub{font-family:var(--font-display);font-size:22px;font-weight:600;margin:32px 0 12px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .body p{margin:0 0 18px;font-size:17px;line-height:1.7;color:var(--ink-2)}\n#lvm-shell .body p b{color:var(--ink);font-weight:600}\n\n\/* CTA band *\/\n#lvm-shell .get-band{margin:48px 0 24px;padding:42px 32px;background:linear-gradient(135deg,#fff,#FAF7F2);border:1px solid var(--rule);border-radius:18px;text-align:center}\n#lvm-shell .get-band h3{font-family:var(--font-display);font-size:30px;font-weight:600;margin:0 0 6px;color:var(--ink);letter-spacing:-.025em}\n#lvm-shell .get-band p{margin:0 0 22px;font-size:16px;color:var(--muted);line-height:1.5}\n#lvm-shell .get-band .stores{display:flex;gap:12px;justify-content:center;flex-wrap:wrap;align-items:center}\n#lvm-shell .get-band .stores img{height:54px;width:auto;border-radius:10px}\n@media(max-width:640px){#lvm-shell .get-band h3{font-size:22px}}\n\n#lvm-shell .micro-cta{margin:24px 0;padding:18px 22px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:15px;line-height:1.55}\n#lvm-shell .micro-cta a{color:var(--pink);font-weight:600;text-decoration:none}\n#lvm-shell .micro-cta a:hover{text-decoration:underline}\n<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles *\/\nbody.postid-1675 #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-1675 #lvm-shell .wrap,\nbody.postid-1675 #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-1675 #lvm-shell .wrap,\n  body.postid-1675 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1675 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1675 #lvm-shell *{max-width:100%}\nbody.postid-1675 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1675 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1675 #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-1675 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1675 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === CTA BANDS MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1675 #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-1675 #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-1675 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1675 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1675 #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-1675 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1675 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1675 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1675 #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-1675 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1675 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === MINI-PHONES === *\/\n@media (max-width:760px){\n  body.postid-1675 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1675 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1675 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1675 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1675 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1675 #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-1675 #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-1675 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1675 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST === *\/\nbody.postid-1675 #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-1675 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\n@media (max-width:760px){\n  body.postid-1675 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1675 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important}\n}\n\n\/* Fix CompressX picture wrappers *\/\n#lvm-shell picture{display:block;max-width:100%}\n#lvm-shell picture img{display:block;max-width:100%;height:auto}\n#lvm-shell .bodyscan-illust .mini-phone{background:transparent;padding:0;border:none;box-shadow:none;border-radius:0}\n#lvm-shell .bodyscan-illust .mini-phone .notch{display:none}\n<\/style>\n\n<div id=\"lvm-shell\" class=\"force-show\">\n\n<nav class=\"nav\"><div class=\"nav-row\">\n  <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/de\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"28\" height=\"28\"><span>Lean<\/span><\/a>\n  <div class=\"nav-spacer\"><\/div>\n  <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/de\/\">Startseite<\/a>\n  <div class=\"nav-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef\" target=\"_blank\" rel=\"noopener\" aria-label=\"App Store\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef\" target=\"_blank\" rel=\"noopener\" aria-label=\"Google Play\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\"><\/a>\n  <\/div>\n<\/div><\/nav>\n\n<main class=\"wrap\">\n\n<!-- HERO -->\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/de\/\">Startseite<\/a> &nbsp;\/&nbsp; TEF<\/div>\n  <div class=\"eyebrow\">S\u00e4ule &middot; Wissenschaft des Stoffwechsels<\/div>\n  <h1 id=\"title\">TEF (Thermic Effect of Food).\n    <span class=\"alt\">Der komplette Leitfaden, um den versteckten Kalorienverbrauch der Verdauung zu verstehen.<\/span>\n  <\/h1>\n  <p class=\"dek\">Die Verdauung verbrennt Kalorien. 20 bis 30&nbsp;% bei Proteinen, 5 bis 10&nbsp;% bei Kohlenhydraten, 0 bis 3&nbsp;% bei Fetten. Alle Apps ignorieren das. Lean berechnet es in Echtzeit bei jeder geloggten Mahlzeit.<\/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>Das Lean-Team<\/strong> &middot; 10&nbsp;Min. Lesezeit &middot; Aktualisiert am 28. Mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef\" 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\">Kostenloser Download<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Der TEF (Thermic Effect of Food) ist die Energie, die dein K\u00f6rper aufwendet, um jede Mahlzeit zu verdauen, aufzunehmen und zu verstoffwechseln. Er macht 8 bis 15&nbsp;% deines Gesamtverbrauchs aus. Die meisten Kalorien-Apps berechnen ihn nicht. Lean berechnet ihn auf die Kilokalorie genau, bei jedem geloggten Lebensmittel.\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>Interaktive Demo<\/small>Tippe auf den Bildschirm, um die App zu erkunden<\/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>Interaktive Demo<\/small>Tippe auf den Bildschirm<br>und erkunde die App<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vorschau der Lean-App mit TDEE-Drilldown\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Zur&uuml;ck\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-Vorschau, Tab Verbrauch\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-Detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Tab Bilanz\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Tab Kalorien\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tab Verbrauch\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Tab Strategie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"In der Lean-App navigieren\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilanz<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorien<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbrauch<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Schnelle Antwort<\/div>\n    <p>Der TEF (Thermic Effect of Food) ist die Energie, die verbrannt wird, um deine Nahrung zu verdauen. Er geht in die Gleichung <b>TDEE = BMR + NEAT + EAT + TEF<\/b>ein. Er variiert mit deinen Makros: Proteine 20&ndash;30&nbsp;%, Kohlenhydrate 5&ndash;10&nbsp;%, Fette 0&ndash;3&nbsp;%. Bei einer Standardmahlzeit nach dem Training berechnet Lean 69&nbsp;kcal TEF, wo andere Apps 0 anzeigen.<\/p>\n  <\/div>\n<\/section>\n\n<!-- 02. DEFINITION -->\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Definition<\/span>TEF, der 4. Baustein des TDEE<\/h2>\n<div class=\"body\">\n<p>Der <b>TEF (Thermic Effect of Food)<\/b> ist die Energie, die dein K\u00f6rper aufwendet, um die Nahrung zu verarbeiten, die du zu dir nimmst: kauen, verdauen, aufnehmen, verstoffwechseln. Man spricht auch von DIT (Diet-Induced Thermogenesis). Es ist die W\u00e4rme, die dein Verdauungssystem bei jeder Mahlzeit erzeugt.<\/p>\n<p>Er f\u00fcgt sich in die Grundgleichung des Stoffwechsels ein:<\/p>\n<\/div>\n<div class=\"statement\" style=\"margin:28px 0\"><p><b style=\"color:var(--pink);font-variant-numeric:tabular-nums\">TDEE = BMR + NEAT + EAT + TEF<\/b><\/p><\/div>\n<div class=\"body\">\n<p>Der <b>BMR<\/b> (Basal Metabolic Rate) ist dein Verbrauch in Ruhe. Das <b>NEAT<\/b> (Non-Exercise Activity Thermogenesis) deckt deinen Verbrauch au\u00dferhalb des Sports ab. Das<b>EAT<\/b> (Exercise Activity Thermogenesis) deckt deine Trainingseinheiten ab. Und der <b>TEF<\/b>, das ist die durch die Verdauung erzeugte W\u00e4rme. Zusammen bilden die vier deinen echten TDEE.<\/p>\n<p>Die<b>metabolische Adaptation<\/b> kommt zus\u00e4tzlich als Multiplikationskoeffizient des BMR bei anhaltendem Kaloriendefizit. Lean-Konvention: 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% Anpassung. Sie geht <b>Schritte<\/b> in die TDEE-Summe ein.<\/p>\n<\/div>\n<div class=\"micro-cta\">\n  Siehe auch: <a href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT-S\u00e4ule<\/a> &middot; <a href=\"https:\/\/lean-app.com\/de\/metabolisme-de-base\/\">BMR-S\u00e4ule<\/a> &middot; <a href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">TDEE-S\u00e4ule<\/a> &middot; <a href=\"https:\/\/lean-app.com\/de\/calculateur-tdee\/\">TDEE-Rechner<\/a> &middot; <a href=\"https:\/\/lean-app.com\/de\/calculateur-deficit-calorique\/\">Defizit-Rechner<\/a>\n<\/div>\n\n<!-- 03. 69 KCAL D'ECART -->\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Echte Auswirkung<\/span>69&nbsp;kcal ignoriert bei einer Mahlzeit nach dem Training<\/h2>\n<div class=\"body\">\n<p>Ein konkretes Beispiel: du kommst vom Training und isst 200&nbsp;g gegrilltes H\u00e4hnchen, 200&nbsp;g gekochten Reis, 30&nbsp;g Avocado. Gesamt: 54&nbsp;g Proteine \/ 55&nbsp;g Kohlenhydrate \/ 12&nbsp;g Fette = <b>537&nbsp;kcal aufgenommen<\/b>.<\/p>\n<p>Lean wendet auf diese Mahlzeit die wissenschaftlichen Koeffizienten an:<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Proteine (54&nbsp;g)<\/h4>\n    <div class=\"meta\">54&nbsp;g &times; 4&nbsp;kcal\/g &times; 25&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Proteine<\/span><span class=\"v\" style=\"color:#FA256C\">54&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Westerterp 2004<\/span><span class=\"v\">20&ndash;30&nbsp;%<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean berechnet<\/span><span class=\"v\">In Echtzeit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Proteine haben den h\u00f6chsten TEF: Synthese, Transaminierung und Gluconeogenese sind ATP-intensive Prozesse.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Kohlenhydrate (55&nbsp;g)<\/h4>\n    <div class=\"meta\">55&nbsp;g &times; 4&nbsp;kcal\/g &times; 8&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Kohlenhydrate<\/span><span class=\"v\" style=\"color:#B8860B\">18&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Westerterp 2004<\/span><span class=\"v\">5&ndash;10&nbsp;%<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean berechnet<\/span><span class=\"v\">In Echtzeit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Umwandlung in Glykogen oder direkte Oxidation. Moderater, aber nicht null Verbrauch.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Fette (12&nbsp;g)<\/h4>\n    <div class=\"meta\">12&nbsp;g &times; 9&nbsp;kcal\/g &times; 2&nbsp;%<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Fette<\/span><span class=\"v\" style=\"color:#7B52AC\">2&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Westerterp 2004<\/span><span class=\"v\">0&ndash;3&nbsp;%<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean berechnet<\/span><span class=\"v\">In Echtzeit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Sehr effiziente direkte Reveresterung. Der Makron\u00e4hrstoff, dessen Verdauung am wenigsten kostet.<\/div>\n  <\/div>\n<\/div>\n<div class=\"body\">\n<p><b>Gesamt-TEF, von Lean berechnet: 54 + 18 + 2 = 74&nbsp;kcal<\/b> allein bei dieser Mahlzeit. Die Konkurrenz-Apps zeigen 0. \u00dcber ein Jahr sind das Zehntausende Kilokalorien ignorierten Verbrauchs, was die unerkl\u00e4rlichen Plateaus und die Defizite erkl\u00e4rt, die \u201enicht funktionieren\u201c.<\/p>\n<\/div>\n\n<!-- 04. 3 PROFILS PAR APPORT EN PROTEINES -->\n<h2 class=\"sect\"><span class=\"num\">04 &middot; 3 Profile<\/span>Mehr Proteine = mehr TEF: die Zahlen<\/h2>\n<div class=\"body\">\n<p>Drei Profile bei einer Ern\u00e4hrung mit 2.500&nbsp;kcal\/Tag. Nur die Makroverteilung \u00e4ndert sich. Die Gesamt-TEF-Zahlen zeigen die enorme Auswirkung der Ern\u00e4hrungszusammensetzung.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>15&nbsp;% Proteine<\/h4>\n    <div class=\"meta\">Proteinarme Ern\u00e4hrung &middot; 2.500 kcal<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Proteine<\/span><span class=\"v\">75&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>TEF Kohlenhydrate + Fette<\/span><span class=\"v\">94&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>TEF gesamt<\/span><span class=\"v\">~169&nbsp;kcal \/ Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Das K\u00e4stchen \u201esitzend\u201c in MFP ber\u00fccksichtigt die Ern\u00e4hrungszusammensetzung nicht. Dieses Profil verliert 169&nbsp;kcal Verbrauch, wenn die App ihn ignoriert.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>25&nbsp;% Proteine<\/h4>\n    <div class=\"meta\">Standard-Sportlerprofil &middot; 2.500 kcal<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Proteine<\/span><span class=\"v\">125&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>TEF Kohlenhydrate + Fette<\/span><span class=\"v\">85&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>TEF gesamt<\/span><span class=\"v\">~210&nbsp;kcal \/ Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">41&nbsp;kcal zus\u00e4tzlicher Verbrauch gegen\u00fcber dem 15-%-Proteinprofil. Das \u00c4quivalent von 5 Minuten zus\u00e4tzlichem Gehen, nur durch die \u00c4nderung der Makros.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>35&nbsp;% Proteine<\/h4>\n    <div class=\"meta\">Profil aggressive Di\u00e4t &middot; 2.500 kcal<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF Proteine<\/span><span class=\"v\">175&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>TEF Kohlenhydrate + Fette<\/span><span class=\"v\">76&nbsp;kcal<\/span><\/div>\n      <div class=\"rw lean\"><span>TEF gesamt<\/span><span class=\"v\">~251&nbsp;kcal \/ Tag<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">82&nbsp;kcal mehr als beim 15-%-Profil. \u00dcber 30 Tage: +2.460&nbsp;kcal zus\u00e4tzlicher Verbrauch bei identischen Kalorien, ohne eine einzige zus\u00e4tzliche Trainingseinheit.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 05. POURQUOI LES APPS ECHOUENT -->\n<h2 class=\"sect\"><span class=\"num\">05 &middot; Warum die Apps scheitern<\/span>Fester Koeffizient gegen makrospezifische Berechnung<\/h2>\n<div class=\"body\">\n<p>Wenn du MyFitnessPal oder Yazio einrichtest, wirst du nach deinem Aktivit\u00e4tsniveau gefragt. Ein PAL-Koeffizient wird auf deinen BMR angewendet. Dieser Koeffizient soll alles \u201eabdecken\u201c, auch die Verdauung. In der Praxis ist er auf generische Populationen kalibriert und spiegelt deine Makrozusammensetzung des Tages \u00fcberhaupt nicht wider.<\/p>\n<p>Das Problem: dieser Koeffizient \u00e4ndert sich nicht am Montag, an dem du 50&nbsp;% Proteine isst, gegen\u00fcber dem Sonntag, an dem du 20&nbsp;% Proteine isst. Der TEF dieser beiden Tage ist radikal verschieden. Die Apps sehen es nicht. Lean schon.<\/p>\n<p>Westerterp (2004, PMID&nbsp;15507147) hat per indirekter Kalorimetrie gemessen, dass die Sch\u00e4tzfehler des TEF \u00fcber einen festen Koeffizienten <b>100 bis 200&nbsp;kcal pro Tag<\/b> je nach tats\u00e4chlicher Ern\u00e4hrungszusammensetzung erreichen k\u00f6nnen. Das ist die Gr\u00f6\u00dfenordnung, die ein Defizit erkl\u00e4rt, das \u00fcber mehrere Wochen \u201enicht funktioniert\u201c.<\/p>\n<\/div>\n\n<!-- 06. MFP VS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">06 &middot; MFP vs. Lean<\/span>0&nbsp;kcal vs. 74&nbsp;kcal bei derselben Mahlzeit<\/h2>\n<div class=\"body\">\n<p>Dieselbe Mahlzeit nach dem Training: 200&nbsp;g H\u00e4hnchen, 200&nbsp;g gekochter Reis, 30&nbsp;g Avocado = 537&nbsp;kcal. Was jede App mit dieser Mahlzeit macht:<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>MyFitnessPal (und die meisten Apps)<\/h4>\n    <div class=\"meta\">Keine TEF-Berechnung bei Mahlzeiten<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-nutrition-calcul-tef-lean-app-551x1024.png\" alt=\"Analyse nutritionnelle dans Lean avec calcul du TEF\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>537 kcal geloggt<\/span><span class=\"v\" style=\"color:#FF2D6E\">TEF: 0&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Methode<\/span><span class=\"v\">Fester PAL-Koeffizient<\/span><\/div>\n      <div class=\"rw\"><span>Ber\u00fccksichtigt<\/span><span class=\"v\">Nein<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">MFP, Yazio, Cronometer und die meisten Kalorien-Apps beziehen den TEF nicht in ihre Verbrauchsberechnung ein. Du verbrennst 74&nbsp;kcal, um diese Mahlzeit zu verdauen. Sie wissen es nicht.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Lean<\/h4>\n    <div class=\"meta\">Makrospezifische TEF-Berechnung in Echtzeit<\/div>\n    <div style=\"margin:12px auto;max-width:130px\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/focus-depense-digestion-tef-lean-app-523x1024.png\" alt=\"Focus sur la d&eacute;pense TEF dans l&rsquo;application Lean\" style=\"width:100%;border-radius:16px;box-shadow:0 4px 16px rgba(0,0,0,.12)\" loading=\"lazy\"><\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>537 kcal geloggt<\/span><span class=\"v\" style=\"color:#27AE60\">TEF: 74&nbsp;kcal<\/span><\/div>\n      <div class=\"rw\"><span>Methode<\/span><span class=\"v\">P&times;25&nbsp;% + K&times;8&nbsp;% + F&times;2&nbsp;%<\/span><\/div>\n      <div class=\"rw lean\"><span>Ber\u00fccksichtigt<\/span><span class=\"v\">Ja, bei jeder Mahlzeit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Lean berechnet den TEF auf die Kilokalorie genau bei jeder geloggten Mahlzeit. Dieser TEF kommt zu deinem Tages-TDEE hinzu und passt dein Kalorienziel in Echtzeit an.<\/div>\n  <\/div>\n<\/div>\n<div class=\"cta-band\">\n  <div class=\"l\">Lean berechnet deinen TEF in Echtzeit bei jeder Mahlzeit. Kostenloser Download, 7 Tage Testphase beim Jahresabo.<\/div>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" height=\"42\" loading=\"lazy\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef-cta1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" height=\"42\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<!-- 07. BMR CHANGE TOUT POUR LE TEF -->\n<h2 class=\"sect\"><span class=\"num\">07 &middot; BMR &amp; TEF<\/span>Warum dein BMR den Wert des TEF beeinflusst<\/h2>\n<div class=\"body\">\n<p>Der TEF wird auf den aufgenommenen Makros berechnet. Aber damit diese Berechnung in einen genauen TDEE eingeht, muss der BMR, der als Basis dient, selbst exakt sein. Und der BMR h\u00e4ngt direkt von deiner <b>echten Magermasse<\/b>.<\/p>\n<p>ab. Der physiologische Grund: der Grundumsatz wird haupts\u00e4chlich von Muskeln und Organen (metabolisch aktivem Gewebe) getragen, nicht von der Fettmasse. Zwei Personen mit 80&nbsp;kg und 12&nbsp;% bzw. 22&nbsp;% K\u00f6rperfett haben eine Magermasse von 70,4&nbsp;kg vs. 62,4&nbsp;kg, also einen BMR-Unterschied von etwa 170&nbsp;kcal\/Tag. Ist dein TDEE schon an der Basis falsch, landet dein TEF in einer bereits dekalibrierten Gleichung.<\/p>\n<p>Konkret: Lean berechnet deinen BMR auf deiner echten Magermasse per KI-BodyScan und integriert dann den TEF auf diesem exakten BMR. Der Kettenfehler der Apps passiert auf zwei Ebenen: BMR auf dem Gesamtgewicht (falsch), dann 0&nbsp;kcal TEF (auch falsch). Lean korrigiert beides.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">BMR berechnet auf echtem K\u00f6rperfett, nicht auf dem Gesamtgewicht<\/div><p class=\"fd\">Lean nutzt sein patentiertes propriet\u00e4res Modell (nicht Harris-Benedict 1919, nicht Mifflin-St Jeor 1990) und indexiert es per KI-BodyScan auf deine Magermasse. Dieser BMR dient als Fundament f\u00fcr alles Weitere, auch den TEF.<\/p><\/div><div class=\"fc\">Genauigkeit<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">TEF in den TDEE integriert, nicht nachtr\u00e4glich addiert<\/div><p class=\"fd\">Der TEF ist keine separate Zeile, die du ein- oder ausschaltest. Er ist Teil der Gleichung TDEE = BMR + NEAT + EAT + TEF, integriert ab der ersten geloggten Mahlzeit.<\/p><\/div><div class=\"fc\">Architektur<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">TEF bei jeder Profilaktualisierung neu berechnet<\/div><p class=\"fd\">Du verlierst in einem Monat 3&nbsp;kg Fett? Dein BMR \u00e4ndert sich. Und die Integration des TEF in den TDEE wird in Lean automatisch neu kalibriert. Die Apps behalten ihre Konstante seit der Anmeldung.<\/p><\/div><div class=\"fc\">Dynamisch<\/div><\/div>\n\n<!-- 08. BODYSCAN IA -->\n<h2 class=\"sect\"><span class=\"num\">08 &middot; KI-BodyScan<\/span>Das echte K\u00f6rperfett: das Fundament der TEF-Berechnung von Lean<\/h2>\n<div class=\"body\">\n<p>Damit der TEF in einen genauen TDEE integriert wird, muss der BMR zuerst stimmen. Und daf\u00fcr brauchst du dein echtes K\u00f6rperfett. Hier kommt der KI-BodyScan von Lean ins Spiel.<\/p>\n<p>Die meisten Apps berechnen den BMR nach dem Gesamtgewicht (Harris-Benedict 1919, Mifflin-St Jeor 1990). Lean berechnet deinen BMR auf deiner <b>\u00fcber das K\u00f6rperfett gesch\u00e4tzten Magermasse<\/b>, dank eines <b>patentiertes propriet&auml;res Modell<\/b>. Dieser BMR dient dann als Fundament f\u00fcr die Integration des TEF in den TDEE.<\/p>\n<\/div>\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/resultat-bodyfat-ia-homme-lean-app-1-514x1024.png\" alt=\"BodyScan AI Lean result: bodyfat in 5 seconds from a photo\" width=\"514\" height=\"1024\" style=\"width:100%;height:auto;border-radius:24px;box-shadow:0 8px 32px rgba(0,0,0,0.15)\" loading=\"lazy\" decoding=\"async\">\n  <p class=\"bodyscan-cap\" style=\"max-width:220px;font-size:13px;line-height:1.5;text-align:center\"><b>KI-BodyScan<\/b> : echtes K\u00f6rperfett in 5 Sekunden, aus einem Foto<\/p>\n<\/div>\n<div class=\"body\">\n<p>Ein Foto, 5 Sekunden, und Lean kennt dein K\u00f6rperfett genau. Diese Zahl speist direkt die Berechnung deines BMR, der wiederum als Fundament f\u00fcr die Integration des TEF in deinen TDEE dient. Das ist die Kettenarchitektur, die andere Apps nicht bieten.<\/p>\n<\/div>\n\n<!-- 09. COMMENT LEAN CALCULE LE TEF -->\n<h2 class=\"sect\"><span class=\"num\">09 &middot; Lean &amp; TEF<\/span>Echtzeitberechnung bei jeder geloggten Mahlzeit<\/h2>\n<div class=\"body\">\n<p>Lean berechnet den TEF aus jeder Mahlzeit, die du loggst, und integriert ihn in Echtzeit in deinen Tages-TDEE. Hier die vollst\u00e4ndige Architektur:<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Loggen der Mahlzeit (3 Methoden)<\/div><p class=\"fd\">Du loggst \u00fcber die USDA+OpenFoodFacts-Datenbank, den Barcode-Scan oder den KI-Fotoscan eines Gerichts. Lean erh\u00e4lt sofort die Gramm an Proteinen, Kohlenhydraten und Fetten.<\/p><\/div><div class=\"fc\">Eingabe<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">TEF-Berechnung pro Makro bei jedem Lebensmittel<\/div><p class=\"fd\">Der Lean-Motor wendet an: P &times; 25&nbsp;%, K &times; 8&nbsp;%, F &times; 2&nbsp;%. Das Ergebnis wird f\u00fcr jedes Lebensmittel sofort berechnet und \u00fcber den Tag kumuliert.<\/p><\/div><div class=\"fc\">Berechnung<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Kumulierter TEF im Tages-TDEE<\/div><p class=\"fd\">Der \u00fcber den Tag kumulierte TEF kommt zu BMR + NEAT + EAT hinzu und ergibt deinen Live-TDEE. Deine Kalorienbilanz passt sich bei jeder geloggten Mahlzeit an.<\/p><\/div><div class=\"fc\">Integration<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Sichtbar im Verbrauch-Tab<\/div><p class=\"fd\">Der Verbrauch-Tab von Lean schl\u00fcsselt jede TDEE-Komponente auf: BMR, NEAT, EAT, TEF. Du siehst genau, wie viel die Verdauung zu deinem Tagesverbrauch beitr\u00e4gt.<\/p><\/div><div class=\"fc\">Transparent<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Direkte Auswirkung auf das Kalorienziel<\/div><p class=\"fd\">Lean nutzt den TEF-bewussten TDEE, um dein Ziel und dein Zieldefizit zu berechnen. Eine proteinreichere Mahlzeit erh\u00f6ht deinen TEF und damit deinen echten TDEE, was Lean automatisch abbildet.<\/p><\/div><div class=\"fc\">Strategisch<\/div><\/div>\n\n<!-- 10. L'ECRAN TEF -->\n<h2 class=\"sect\"><span class=\"num\">10 &middot; TEF in Lean<\/span>Die Verdauung in Echtzeit verfolgen<\/h2>\n<div class=\"body\">\n<p>Der Verbrauch-Tab von Lean schl\u00fcsselt in Echtzeit jede TDEE-Komponente auf: BMR, NEAT, EAT, TEF. Tippe auf TEF, um das Detail pro Mahlzeit zu sehen.<\/p>\n<\/div>\n<div style=\"max-width:130px;margin:24px auto\">\n  <div class=\"mini-phone\" style=\"max-width:130px\"><div class=\"notch\"><\/div><div class=\"scr\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"TEF et digestion dans Lean\" loading=\"lazy\"><\/div><\/div>\n<\/div>\n<div class=\"mini-cap\"><strong>Lean<\/strong> &middot; TEF in Echtzeit bei jeder Mahlzeit berechnet<\/div>\n<div style=\"text-align:center;margin:24px 0\">\n  <img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/suivi-calories-digestion-tef-lean-app-1024x370.png\" alt=\"Suivi des calories de digestion (TEF) dans l&rsquo;application Lean\" style=\"max-width:480px;width:100%;border-radius:16px;box-shadow:0 6px 24px rgba(0,0,0,.10)\" loading=\"lazy\">\n<\/div>\n\n<!-- 11. STRATEGIES D'OPTIMISATION TEF -->\n<h2 class=\"sect\"><span class=\"num\">11 &middot; Strategien<\/span>Mehr Proteine essen = mehr beim Verdauen verbrennen<\/h2>\n<div class=\"body\">\n<p>Das Grundprinzip des TEF: jede Proteinkalorie kostet 25&nbsp;% beim Verdauen, gegen\u00fcber 2&nbsp;% bei Fetten. <b>Mehr Proteine essen = mehr verbrauchen bei gleichen Kalorien.<\/b> Das ist der echte metabolische Vorteil einer proteinreichen Ern\u00e4hrung in der Di\u00e4t.<\/p>\n<\/div>\n<div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">+100&nbsp;g Proteine = +100&nbsp;kcal kostenloser TEF<\/div><p class=\"fd\">100&nbsp;g zus\u00e4tzliche Proteine (400&nbsp;kcal) erzeugen etwa 100&nbsp;kcal zus\u00e4tzlichen TEF. Das ist echter Verbrauch, ohne k\u00f6rperliche Anstrengung, nur durch die \u00c4nderung deiner Ern\u00e4hrungszusammensetzung.<\/p><\/div><div class=\"fc\">Proteine<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Logge alles, auch die kleinen Mahlzeiten<\/div><p class=\"fd\">Jeder Eintrag in Lean l\u00f6st die TEF-Berechnung aus. Ein Snack aus 100&nbsp;g Magerquark (18&nbsp;g Proteine) erzeugt ~18&nbsp;kcal TEF. \u00dcber 5 Mahlzeiten kumuliert ist das ein echter Verbrauch, den die Apps nicht z\u00e4hlen.<\/p><\/div><div class=\"fc\">Vollst\u00e4ndigkeit<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Bevorzuge unverarbeitete Lebensmittel<\/div><p class=\"fd\">Hochverarbeitete Lebensmittel haben einen niedrigeren TEF, weil sie industriell schon teilweise \u201evorverdaut\u201c sind (Barr 2010, PMID&nbsp;20613941). Eine ganze H\u00e4hnchenbrust hat einen h\u00f6heren TEF als ein vorhydrolysiertes Proteinpulver.<\/p><\/div><div class=\"fc\">Qualit\u00e4t<\/div><\/div>\n<div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Z\u00e4hle beim TEF nicht auf die Fette<\/div><p class=\"fd\">Fette haben einen TEF von 0 bis 3&nbsp;%. Mehr Fett steigert den TEF nicht. Was z\u00e4hlt, ist die Makroverteilung, nicht die rohe Kalorienmenge.<\/p><\/div><div class=\"fc\">Fett<\/div><\/div>\n\n<!-- 12. MET et macros -->\n<h2 class=\"sect\"><span class=\"num\">12 &middot; Wissenschaft<\/span>Warum Proteine bei der Verdauung so viel verbrennen<\/h2>\n<div class=\"body\">\n<p>Die Antwort ist biochemisch. Proteine m\u00fcssen in Aminos\u00e4uren zerlegt werden, die dann entweder in die Proteinsynthese eingehen (ATP-Kosten), oxidiert werden (Citratzyklus) oder in Glukose umgewandelt werden (Gluconeogenese, noch h\u00f6here Kosten). Die Desaminierung des Stickstoffs (Harnstoffproduktion) ist selbst energieintensiv.<\/p>\n<\/div>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Proteine: TEF 20&ndash;30&nbsp;%<\/h4>\n    <div class=\"meta\">Quelle: Westerterp 2004, Acheson 2011<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Proteinsynthese<\/span><span class=\"v\">Hohe ATP-Kosten<\/span><\/div>\n      <div class=\"rw\"><span>Desaminierung<\/span><span class=\"v\">Harnstoffproduktion<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-TEF<\/span><span class=\"v\">25&nbsp;% (Medianwert)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Es ist der \u201eteuerste\u201c Makron\u00e4hrstoff in der Verdauung. Seine metabolischen Kosten sind die h\u00f6chsten aller Makros.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Kohlenhydrate: TEF 5&ndash;10&nbsp;%<\/h4>\n    <div class=\"meta\">Quelle: Westerterp 2004<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Glykolyse<\/span><span class=\"v\">M\u00e4\u00dfig kostspielig<\/span><\/div>\n      <div class=\"rw\"><span>Glykogenspeicherung<\/span><span class=\"v\">Zusatzkosten<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-TEF<\/span><span class=\"v\">8&nbsp;% (Medianwert)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Moderater, aber nicht null Verbrauch. Die Speicherung als Glykogen kostet mehr als die direkte Oxidation.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Fette: TEF 0&ndash;3&nbsp;%<\/h4>\n    <div class=\"meta\">Quelle: Westerterp 2004<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Reveresterung<\/span><span class=\"v\">Sehr wenig kostspielig<\/span><\/div>\n      <div class=\"rw\"><span>Direkte Speicherung<\/span><span class=\"v\">Fast ohne Umwandlung<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean-TEF<\/span><span class=\"v\">2&nbsp;% (Medianwert)<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Der am wenigsten \u201eteure\u201c Makron\u00e4hrstoff in der Verdauung. Nahrungsfette sind fast direkt speicherbar, ohne gro\u00dfen metabolischen Aufwand.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 13. OBJECTIFS SECHE\/BULK\/RECOMP -->\n<h2 class=\"sect\"><span class=\"num\">13 &middot; Ziele<\/span>TEF und Strategie je nach Di\u00e4t, Bulk oder Recomp<\/h2>\n<p>Sobald dein genauer TEF bekannt ist, ist die praktische Anwendung direkt. Drei Ziele, drei Hebel.<\/p>\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Di\u00e4t (Fettabbau)<\/h4>\n    <div class=\"meta\">Ziel: den TEF maximieren, ohne die Makros zu opfern<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF-Hebel<\/span><span class=\"v\">Proteine bei 30&nbsp;%+<\/span><\/div>\n      <div class=\"rw\"><span>Vorteil<\/span><span class=\"v\">Zus\u00e4tzlicher Verbrauch ohne Sport<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean berechnet<\/span><span class=\"v\">Genaue Auswirkung auf das Defizit<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Eine hohe Proteinzufuhr erh\u00e4lt die Muskelmasse UND erh\u00f6ht den TEF. Doppelter Nutzen in der Di\u00e4t. Tool: <a href=\"https:\/\/lean-app.com\/de\/calculateur-deficit-calorique\/\" style=\"text-decoration:underline\">Kaloriendefizit-Rechner<\/a>.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Bulk (Muskelaufbau)<\/h4>\n    <div class=\"meta\">Ziel: kontrollierter \u00dcberschuss, minimaler Fettzuwachs<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF-Hebel<\/span><span class=\"v\">Hohe Proteine bevorzugt<\/span><\/div>\n      <div class=\"rw\"><span>Vorteil<\/span><span class=\"v\">Netto\u00fcberschuss durch Protein-TEF verringert<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean zeigt<\/span><span class=\"v\">Netto\u00fcberschuss nach echtem TEF<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Im Bulk zeigt Lean den echten \u00dcberschuss in Echtzeit. Eine sehr proteinreiche Mahlzeit verringert den Netto\u00fcberschuss \u00fcber den zus\u00e4tzlichen TEF.<\/div>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>Recomp (Erhalt + Aufbau)<\/h4>\n    <div class=\"meta\">Ziel: maximale Genauigkeit bei Zufuhr und Verbrauch<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>TEF-Hebel<\/span><span class=\"v\">Pr\u00e4zisionswerkzeug auf die kcal<\/span><\/div>\n      <div class=\"rw\"><span>Vorteil<\/span><span class=\"v\">Gleichgewicht ohne N\u00e4herung<\/span><\/div>\n      <div class=\"rw lean\"><span>Lean berechnet<\/span><span class=\"v\">Live-Kalorienbilanz<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Die Rekomposition verlangt maximale Genauigkeit. Ein auf die Kilokalorie genau berechneter TEF ist ein entscheidender Vorteil gegen\u00fcber Apps, die ihn ignorieren.<\/div>\n  <\/div>\n<\/div>\n\n<!-- 14. TEF LIVE DANS LEAN -->\n<h2 class=\"sect\"><span class=\"num\">14 &middot; Live-TEF<\/span>Die Verdauung in Lean verfolgen<\/h2>\n<div class=\"body\">\n<p>Der Verbrauch-Tab von Lean schl\u00fcsselt in Echtzeit jede TDEE-Komponente auf: BMR, NEAT, EAT, TEF. Der angezeigte TEF entspricht deinen geloggten Mahlzeiten des Tages, berechnet auf jedem Makro.<\/p>\n<\/div>\n<div style=\"max-width:130px;margin:24px auto\">\n  <div class=\"mini-phone\" style=\"max-width:130px\"><div class=\"notch\"><\/div><div class=\"scr\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"TEF dans Lean, d&eacute;pense de digestion\" loading=\"lazy\"><\/div><\/div>\n<\/div>\n<div class=\"mini-cap\"><strong>Lean<\/strong> &middot; TEF in Echtzeit, berechnet auf deinen echten Makros<\/div>\n\n<!-- 15. LA PYRAMIDE -->\n<h2 class=\"sect\"><span class=\"num\">15 &middot; Die Pyramide<\/span>Lean-Fortschrittspyramide<\/h2>\n<div class=\"body\">\n<p>Die Lean-Fortschrittspyramide ordnet die Priorit\u00e4ten, um dein K\u00f6rperziel zu erreichen. Der TEF greift auf zwei Stufen ein: dem genauen Kalorienziel (TEF in den TDEE integriert) und den Makron\u00e4hrstoffen (Zusammensetzung, die die H\u00f6he des TEF bestimmt).<\/p>\n<\/div>\n<div class=\"pyramid\" aria-label=\"Lean-Fortschrittspyramide\">\n  <div class=\"level l1\"><span>Adh\u00e4renz<\/span><span class=\"k\">Basis<\/span><\/div>\n  <div class=\"level l2\"><span>Kalorienziel (TDEE + genauer TEF)<\/span><span class=\"k\">Stufe 2<\/span><\/div>\n  <div class=\"level l3\"><span>Schritte \/ t\u00e4gliches NEAT<\/span><span class=\"k\">Stufe 3<\/span><\/div>\n  <div class=\"level l4\"><span>Makros (Proteine = TEF-Hebel)<\/span><span class=\"k\">Spitze<\/span><\/div>\n<\/div>\n<div class=\"pyramid-cap\">Keine Stufen \u00fcberspringen. Ein genauer TDEE mit integriertem TEF ist Stufe 2. Aber wenn du deine Mahlzeiten nicht regelm\u00e4\u00dfig loggst, wird der TEF nie berechnet.<\/div>\n\n<!-- 16. FAQ -->\n<h2 class=\"sect\"><span class=\"num\">16 &middot; FAQ<\/span>Alles, was du dich \u00fcber den TEF fragst<\/h2>\n\n<details class=\"faq\"><summary>Was ist der thermische Effekt der Nahrung?<\/summary><div class=\"faq-body\"><p>Der <b>TEF (Thermic Effect of Food)<\/b>, auch DIT (Diet-Induced Thermogenesis) genannt, ist die Energie, die aufgewendet wird, um Nahrung zu verdauen, aufzunehmen und zu verstoffwechseln. Er geht in die Gleichung <b>TDEE = BMR + NEAT + EAT + TEF<\/b> ein und macht im Durchschnitt 8 bis 15&nbsp;% des Gesamtkalorienverbrauchs aus.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Warum haben Proteine den h\u00f6chsten TEF?<\/summary><div class=\"faq-body\"><p>Proteine erfordern ATP-intensive biochemische Prozesse: Proteinsynthese, Transaminierung, Desaminierung (Harnstoffproduktion) und manchmal Gluconeogenese. Deshalb werden 20 bis 30&nbsp;% der Proteinkalorien bei der Verdauung verbrannt, gegen\u00fcber 5 bis 10&nbsp;% bei Kohlenhydraten und 0 bis 3&nbsp;% bei Fetten.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Berechnet MyFitnessPal den TEF?<\/summary><div class=\"faq-body\"><p>Nein. MyFitnessPal, Yazio, Cronometer und die meisten Kalorien-Apps beziehen den TEF nicht in ihre Verbrauchsberechnung ein. Sie nutzen einen festen Aktivit\u00e4tskoeffizienten (PAL), der auf den BMR angewendet wird und die Verdauung \u201eabdecken\u201c soll. In der Praxis spiegelt dieser Koeffizient deine Makrozusammensetzung des Tages nicht wider.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Wie berechnet Lean den TEF?<\/summary><div class=\"faq-body\"><p>Lean wendet die wissenschaftlichen Koeffizienten auf jede geloggte Mahlzeit an: <b>P &times; 25&nbsp;% + K &times; 8&nbsp;% + F &times; 2&nbsp;%<\/b>. Das Ergebnis wird in Echtzeit in deinen Tages-TDEE integriert. Bei einer Mahlzeit mit 537&nbsp;kcal (54&nbsp;g P, 55&nbsp;g K, 12&nbsp;g F) berechnet Lean 74&nbsp;kcal TEF.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Wie viele Kalorien macht der TEF pro Tag aus?<\/summary><div class=\"faq-body\"><p>Bei einer Ern\u00e4hrung mit 2.000 bis 2.500&nbsp;kcal macht der TEF je nach Makrozusammensetzung zwischen 160 und 250&nbsp;kcal aus. \u00dcber ein Jahr sind das 58.000 bis 91.000&nbsp;kcal Verbrauch, den die Apps ignorieren, die ihn nicht berechnen.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Sinkt der TEF im Kaloriendefizit?<\/summary><div class=\"faq-body\"><p>Ja, proportional: wenn du weniger Kalorien isst, verdaust du weniger und der absolute TEF sinkt. Aber der <b>Prozentsatz<\/b> bleibt je nach Makros stabil. Im Defizit erh\u00e4lt eine hohe Proteinzufuhr das Verh\u00e4ltnis TEF\/Zufuhr, zus\u00e4tzlich zum Erhalt der Muskelmasse.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Ist der TEF dasselbe wie der postprandiale Stoffwechsel?<\/summary><div class=\"faq-body\"><p>Ja, beide Begriffe bezeichnen dieselbe Sache: die durch die Verdauung verbrannte Energie. TEF (Thermic Effect of Food) ist der meistgenutzte englische Begriff. DIT (Diet-Induced Thermogenesis) oder nahrungsinduzierte Thermogenese sind die Entsprechungen in der europ\u00e4ischen und deutschsprachigen Literatur.<\/p><\/div><\/details>\n\n<details class=\"faq\"><summary>Haben verarbeitete Lebensmittel einen niedrigeren TEF?<\/summary><div class=\"faq-body\"><p>Ja. Barr &amp; Wright (2010, PMID&nbsp;20613941) haben gemessen, dass Mahlzeiten aus unverarbeiteten Lebensmitteln einen etwa 50&nbsp;% h\u00f6heren TEF erzeugen als kaloriengleiche Mahlzeiten aus verarbeiteten Lebensmitteln. Verarbeitete Lebensmittel sind industriell schon teilweise \u201evorverdaut\u201c, was die Verdauungsarbeit und damit den TEF verringert.<\/p><\/div><\/details>\n\n<!-- 17. SOURCES -->\n<div class=\"sources\">\n  <h4>Wissenschaftliche Quellen<\/h4>\n  <ol>\n    <li>Westerterp KR. Diet induced thermogenesis. <em>Nutr Metab (Lond)<\/em>. 2004;1(1):5. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a><\/li>\n    <li>Acheson KJ. Protein choices targeting thermogenesis and metabolism. <em>Am J Clin Nutr<\/em>. 2011;93(3):525-534. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21235280\/\" target=\"_blank\" rel=\"noopener\">PubMed 21235280<\/a><\/li>\n    <li>Tappy L. Thermic effect of food and sympathetic nervous system activity in lean and obese subjects. <em>Crit Rev Clin Lab Sci<\/em>. 1996;33(6):435-444. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/8701638\/\" target=\"_blank\" rel=\"noopener\">PubMed 8701638<\/a><\/li>\n    <li>Barr SB, Wright JC. Postprandial energy expenditure in whole-food and processed-food meals. <em>Food Nutr Res<\/em>. 2010;54. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20613941\/\" target=\"_blank\" rel=\"noopener\">PubMed 20613941<\/a><\/li>\n    <li>Levine JA. Non-exercise activity thermogenesis (NEAT). <em>Best Pract Res Clin Endocrinol Metab<\/em>. 2002;16(4):679-702. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12468415\/\" target=\"_blank\" rel=\"noopener\">PubMed 12468415<\/a><\/li>\n  <\/ol>\n<\/div>\n\n<!-- GET-BAND -->\n<div class=\"get-band\">\n  <h3>Berechne deinen TEF auf deinen echten Makros<\/h3>\n  <p>P &times; 25&nbsp;% + K &times; 8&nbsp;% + F &times; 2&nbsp;%, bei jeder geloggten Mahlzeit. TDEE = BMR + NEAT + EAT + TEF. Patentiertes propriet\u00e4res Modell. Kostenloser Download, 7 Tage Testphase beim Jahresabo.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T&eacute;l&eacute;charger sur l&rsquo;App Store\" loading=\"lazy\"><\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=pillar-tef-footer\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" loading=\"lazy\"><\/a>\n  <\/div>\n<\/div>\n\n<\/main>\n\n<script>(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n  var tabMap = {\n    bilan:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var currentTab = 'depense';\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    var subMap = {BMR:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',NEAT:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',EAT:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',TEF:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'};\n    if(!subMap[sub]) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' '){ e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();<\/script>\n\n<script>\n(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n  var bar = document.querySelector('#lvm-shell .progress > i');\n  if (bar) {\n    function update(){\n      var h = document.documentElement;\n      var prog = h.scrollTop \/ (h.scrollHeight - h.clientHeight);\n      bar.style.transform = 'scaleX(' + Math.min(1, Math.max(0, prog)) + ')';\n    }\n    window.addEventListener('scroll', update, {passive:true});\n  }\n  var els = document.querySelectorAll('#lvm-shell .rev');\n  if (!('IntersectionObserver' in window)){els.forEach(function(e){e.classList.add('on')}); return;}\n  var io = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){if(e.isIntersecting) e.target.classList.add('on')});\n  },{threshold:0.1});\n  els.forEach(function(e){io.observe(e)});\n})();\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Qu'est-ce que l'effet thermique des aliments ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Le TEF est l'\u00e9nergie d\u00e9pens\u00e9e pour dig\u00e9rer, absorber et m\u00e9taboliser les aliments. Il repr\u00e9sente 8 \u00e0 15 % de la d\u00e9pense calorique totale et entre dans TDEE = BMR + NEAT + EAT + TEF.\"}},{\"@type\":\"Question\",\"name\":\"Pourquoi les prot\u00e9ines ont-elles le TEF le plus \u00e9lev\u00e9 ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Les prot\u00e9ines n\u00e9cessitent synth\u00e8se, transaminaison et d\u00e9samination. Co\u00fbt en ATP \u00e9lev\u00e9 : 20 \u00e0 30 % des calories prot\u00e9iques sont br\u00fcl\u00e9es \u00e0 la digestion.\"}},{\"@type\":\"Question\",\"name\":\"MyFitnessPal calcule-t-il le TEF ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Non. MFP, Yazio, Cronometer et la plupart des apps n'int\u00e8grent pas le TEF. Ils utilisent un coefficient PAL fixe qui ne refl\u00e8te pas ta composition en macros du jour.\"}},{\"@type\":\"Question\",\"name\":\"Comment Lean calcule-t-il le TEF ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Lean applique P \u00d7 25 % + G \u00d7 8 % + L \u00d7 2 % sur chaque repas log\u00e9. Le r\u00e9sultat est int\u00e9gr\u00e9 en temps r\u00e9el dans ton TDEE du jour.\"}},{\"@type\":\"Question\",\"name\":\"Combien de calories repr\u00e9sente le TEF par jour ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Sur 2 000 \u00e0 2 500 kcal, entre 160 et 250 kcal selon ta composition en macros. Sur une ann\u00e9e, c'est des dizaines de milliers de kcal ignor\u00e9es par les apps qui ne le calculent pas.\"}},{\"@type\":\"Question\",\"name\":\"Le TEF diminue-t-il en d\u00e9ficit calorique ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Le TEF absolu diminue avec les apports, mais le pourcentage reste stable selon tes macros. Maintenir un apport prot\u00e9ique \u00e9lev\u00e9 pr\u00e9serve le ratio TEF\/apport.\"}},{\"@type\":\"Question\",\"name\":\"Les aliments transform\u00e9s ont-ils un TEF plus faible ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Oui. Barr & Wright (2010) ont mesur\u00e9 que les repas base d'aliments entiers g\u00e9n\u00e8rent un TEF environ 50 % plus \u00e9lev\u00e9 que des repas \u00e9quivalents base d'aliments transform\u00e9s.\"}},{\"@type\":\"Question\",\"name\":\"TEF et DIT, c'est la m\u00eame chose ?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Oui, TEF (Thermic Effect of Food) et DIT (Diet-Induced Thermogenesis) d\u00e9signent la m\u00eame r\u00e9alit\u00e9. TEF est plus utilis\u00e9 dans la litt\u00e9rature anglophone.\"}}]},{\"@type\":\"MobileApplication\",\"name\":\"Lean\",\"operatingSystem\":\"iOS, Android\",\"applicationCategory\":\"HealthApplication\",\"description\":\"Lean calcule ton TEF en temps r\u00e9el sur chaque repas. TDEE complet : BMR + NEAT + EAT + TEF sur bodyfat r\u00e9el.\",\"aggregateRating\":{\"@type\":\"AggregateRating\",\"ratingValue\":\"4.7\",\"ratingCount\":\"1000\",\"bestRating\":\"5\"},\"offers\":{\"@type\":\"Offer\",\"price\":\"0\",\"priceCurrency\":\"EUR\"},\"downloadUrl\":\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\"}]}\n<\/script>\n\n<\/div>\n\n\n<!-- lean-mesh-v19 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Auch lesenswert<\/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\/de\/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;\">Grundumsatz (BMR): alles, was du wissen musst, um ihn zu berechnen <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definition, TDEE-Gleichung, 4 historische Formeln, warum das K\u00f6rperfett alles \u00e4ndert.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/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;\">Gesamtenergieverbrauch (TDEE): die kanonische Formel BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Versteh die 4 Bausteine + die metabolische Anpassung, wissenschaftliche Quellen 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT: der nicht-sportliche Kalorienverbrauch, der 15 bis 50% deines TDEE wiegt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Schritte, Wege, Fidgeting. Warum Mifflin sich irrt, wenn es deine Aktivit\u00e4t ignoriert.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/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: dein echter Sportverbrauch, Einheit f\u00fcr Einheit <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Die richtigen MET-Werte, die Doppelz\u00e4hlungsfalle, was Garmin und MyFitnessPal \u00fcbersehen.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/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;\">Beste Kalorienz\u00e4hler-Apps 2026: 8 Apps getestet <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\/de\/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;\">Welche MyFitnessPal-Alternative 2026? 5 Apps getestet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Ehrlicher Vergleich, TDEE-Genauigkeit, Bedienung.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Kaloriendefizit-Rechner: der richtige Ansatz f\u00fcr die Di\u00e4t <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Defizit auf deinem echten bodyfat-aware TDEE. 3 Tempi: langsam\/moderat\/aggressiv.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/de\/calculer-vraie-depense-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">So berechnest du deinen echten Kalorienverbrauch: der komplette Guide <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">BMR auf echtem K\u00f6rperfett, NEAT pro Schritt, EAT pro Einheit, TEF pro Makros, Anpassung.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Accueil Accueil &nbsp;\/&nbsp; TEF Pilier &middot; Science du m&eacute;tabolisme TEF (Thermic Effect of Food). Le guide complet pour comprendre la d&eacute;pense calorique cach&eacute;e de la digestion. La digestion br&ucirc;le des calories. 20 &agrave; 30&nbsp;% des prot&eacute;ines, 5 &agrave; 10&nbsp;% des glucides, 0 &agrave; 3&nbsp;% des lipides. Toutes les apps l&rsquo;ignorent. Lean le calcule en [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1675","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Thermischer Effekt der Lebensmittel (TEF) - Lean<\/title>\n<meta name=\"description\" content=\"Der thermische Effekt der Lebensmittel (TEF) betr\u00e4gt 10 % deines Verbrauchs. Definition, Berechnung nach Makro (Proteine 20 bis 30 %).\" \/>\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\/de\/effet-thermique-des-aliments\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Thermischer Effekt der Lebensmittel (TEF) - Lean\" \/>\n<meta property=\"og:description\" content=\"Der thermische Effekt der Nahrung (TEF) verbrennt rund 10 % deiner Kalorien allein durch die Verdauung. Protein 20-30 %, Kohlenhydrate 5-10 %, Fett 1-3 %: so berechnest du ihn auf deinen echten Makros.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\" \/>\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=\"2026-05-28T08:21:54+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T18:17:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"L&#039;\u00e9quipe Lean\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"21 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Effet thermique des aliments (TEF) : pourquoi Lean calcule 69\u00a0kcal que les autres apps ignorent\",\"datePublished\":\"2026-05-28T08:21:54+00:00\",\"dateModified\":\"2026-09-08T18:17:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/\"},\"wordCount\":4263,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"de-DE\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/\",\"url\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/\",\"name\":\"Effet thermique des aliments (TEF) : calcul et exemples - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-05-28T08:21:54+00:00\",\"dateModified\":\"2026-09-08T18:17:32+00:00\",\"description\":\"L'effet thermique des aliments (TEF), c'est 10 % de ta d\u00e9pense. D\u00e9finition, calcul par macro (prot\u00e9ines 20 \u00e0 30 %), et un exemple chiffr\u00e9 complet.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#breadcrumb\"},\"inLanguage\":\"de-DE\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"de-DE\",\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Effet thermique des aliments (TEF) : pourquoi Lean calcule 69\u00a0kcal que les autres apps ignorent\"}]},{\"@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\":\"de-DE\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de-DE\",\"@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":"Thermischer Effekt der Lebensmittel (TEF) - Lean","description":"Der thermische Effekt der Lebensmittel (TEF) betr\u00e4gt 10 % deines Verbrauchs. Definition, Berechnung nach Makro (Proteine 20 bis 30 %).","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\/de\/effet-thermique-des-aliments\/","og_locale":"de_DE","og_type":"article","og_title":"Thermischer Effekt der Lebensmittel (TEF) - Lean","og_description":"Der thermische Effekt der Nahrung (TEF) verbrennt rund 10 % deiner Kalorien allein durch die Verdauung. Protein 20-30 %, Kohlenhydrate 5-10 %, Fett 1-3 %: so berechnest du ihn auf deinen echten Makros.","og_url":"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-28T08:21:54+00:00","article_modified_time":"2026-09-08T18:17:32+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"21 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Effet thermique des aliments (TEF) : pourquoi Lean calcule 69\u00a0kcal que les autres apps ignorent","datePublished":"2026-05-28T08:21:54+00:00","dateModified":"2026-09-08T18:17:32+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/"},"wordCount":4263,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"de-DE","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/effet-thermique-des-aliments\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/","url":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/","name":"Thermischer Effekt der Lebensmittel (TEF)","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-05-28T08:21:54+00:00","dateModified":"2026-09-08T18:17:32+00:00","description":"Der thermische Effekt der Lebensmittel (TEF) betr\u00e4gt 10 % deines Verbrauchs. Definition, Berechnung nach Makro (Proteine 20 bis 30 %).","breadcrumb":{"@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#breadcrumb"},"inLanguage":"de-DE","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/effet-thermique-des-aliments\/"]}]},{"@type":"ImageObject","inLanguage":"de-DE","@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/effet-thermique-des-aliments\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Effet thermique des aliments (TEF) : pourquoi Lean calcule 69\u00a0kcal que les autres apps ignorent"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Lade die App herunter, teste sie KOSTENLOS und &uuml;bernimm die Kontrolle &uuml;ber deinen K&ouml;rper, F&Uuml;RS LEBEN.","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":"de-DE"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"de-DE","@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\/de\/wp-json\/wp\/v2\/posts\/1675","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/comments?post=1675"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/posts\/1675\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/media?parent=1675"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/categories?post=1675"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/de\/wp-json\/wp\/v2\/tags?post=1675"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}