{"id":1241,"date":"2026-05-21T18:28:26","date_gmt":"2026-05-21T18:28:26","guid":{"rendered":"https:\/\/lean-app.com\/?p=1241"},"modified":"2026-09-05T10:53:33","modified_gmt":"2026-09-05T10:53:33","slug":"lean-vs-myfitnesspal","status":"publish","type":"post","link":"https:\/\/lean-app.com\/nl\/lean-vs-myfitnesspal\/","title":{"rendered":"Lean vs MyFitnessPal: de TDEE-formule die alles verandert"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1241 #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-1241 #lvm-shell .wrap,\nbody.postid-1241 #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-1241 #lvm-shell .wrap,\n  body.postid-1241 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1241 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1241 #lvm-shell *{max-width:100%}\nbody.postid-1241 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1241 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1241 #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-1241 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1241 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1241 #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-1241 #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-1241 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #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-1241 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1241 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1241 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1241 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1241 #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-1241 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1241 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1241 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1241 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1241 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1241 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1241 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1241 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1241 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1241 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1241 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1241 #lvm-shell .fig-cap{padding:0 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grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1241 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    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.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-1241 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1241 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1241 #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-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1241 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1241 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/nl\/\" aria-label=\"Accueil Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">TDEE-calculator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger sur l'App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"Disponible sur Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/nl\/\">Home<\/a> &nbsp;\/&nbsp; Lean vs MyFitnessPal<\/div>\n  <div class=\"eyebrow\">Vergelijking &middot; Voeding &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vs MyFitnessPal.\n    <span class=\"alt\">De TDEE-formule die alles verandert. 1919 tegenover 2025, in wetenschap.<\/span>\n  <\/h1>\n  <p class=\"dek\">Waarom MyFitnessPal zich vergist bij 80&nbsp;% van de gebruikers, en het alternatief dat doet wat MFP niet kan.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Het Lean-team<\/strong> &middot; Leestijd 12&nbsp;min &middot; Bijgewerkt op 21 mei 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      MyFitnessPal berekent je TDEE met een formule uit 1919 (Harris-Benedict) zonder vetpercentage, plus een bijna willekeurige activiteitsco\u00ebffici\u00ebnt, en negeert de metabole adaptatie. Je doel kan er 500 tot 800&nbsp;kcal naast zitten. Lean herberekent elk onderdeel nauwkeurig, zonder co\u00ebffici\u00ebnt om te kiezen.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactieve demo<\/small>Tik op het scherm om de app te verkennen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactieve demo<\/small>Tik op het scherm<br>om de app te verkennen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Terug\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tabblad Verbruik\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balans<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorie\u00ebn<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbruik<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Snel antwoord<\/div>\n    <p>MyFitnessPal berekent je TDEE met een formule uit 1919 (Harris-Benedict) zonder vetpercentage, plus een bijna willekeurige activiteitsco\u00ebffici\u00ebnt, en negeert de metabole adaptatie. Je caloriedoel kan er 500 tot 800&nbsp;kcal naast zitten. Lean herberekent elk onderdeel (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energie verbruikt in rust. Bij Lean berekend op de echte vetvrije massa via AI BodyScan.<\/span><\/span> op echt vetpercentage, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Verbruik door stappen en dagelijkse activiteiten buiten de sport.<\/span><\/span> per stappen, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Verbruik door je trainingen, berekend via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energie verbruikt door de vertering. Hangt af van de ingenomen macro&rsquo;s.<\/span><\/span> op macro&rsquo;s, automatische metabole adaptatie) zonder activiteitsco\u00ebffici\u00ebnt om te kiezen.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; De vaststelling<\/span><\/div>\n  <h2 id=\"constat\">Waarom 80&nbsp;% van de MFP-gebruikers geen gewicht verliest ondanks een \u00ab&nbsp;tekort&nbsp;\u00bb<\/h2>\n  <p>Als je dit leest, heb je het waarschijnlijk zelf meegemaakt. Je hebt MyFitnessPal gedownload, je profiel ingevuld, en de app zei \u00ab&nbsp;je <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure. De formule BMR + NEAT + EAT + TEF, plus de metabole adaptatie die de BMR moduleert.<\/span><\/span> is 2&nbsp;500&nbsp;kcal per dag, eet 2&nbsp;250&nbsp;kcal om af te vallen&nbsp;\u00bb. Dat heb je gedaan. Religieus. Je hebt je eten gewogen. Je bent zelfs Premium gegaan. En aan het eind van de maand weeg je hetzelfde. Of zelfs iets meer.<\/p>\n  <p>Je denkt: \u00ab&nbsp;ik heb vast slecht getrackt, ik heb mijn calorie\u00ebn onderschat&nbsp;\u00bb. Je trekt de teugels aan. Je gaat naar 2&nbsp;000&nbsp;kcal. Opnieuw niets.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">van de MFP-gebruikers stagneert ondanks een theoretisch tekort. Het probleem is niet hun wilskracht. Het is de berekening van hun TDEE.<\/div>\n  <\/div>\n\n  <p>Stel dat MFP je een TDEE van 2&nbsp;500&nbsp;kcal toont. Je eet 2&nbsp;250 (theoretisch tekort van 250&nbsp;kcal). Maar in werkelijkheid is je <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">TDEE 2&nbsp;200&nbsp;kcal<\/a>. Dan is er geen enkele kans, ik zeg wel <strong>geen enkele kans<\/strong>, dat je gewicht verliest. Je zit in een overschot van 50&nbsp;kcal zonder het te weten.<\/p>\n  <p>Daarom is het cruciaal, hyperbelangrijk, om <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/\">je verbruik perfect te berekenen<\/a>. En precies daar faalt MyFitnessPal.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Probleem 1<\/span><\/div>\n  <h2 id=\"p1\">De BMR-formule uit 1919<\/h2>\n  <p>Om je basaal metabolisme te berekenen (de BMR, de energie die je in rust verbrandt), gebruikt MyFitnessPal de Harris-Benedict-vergelijking. Of de directe afgeleide ervan, Mifflin-St Jeor. Afhankelijk van de versie van de app.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 1 &middot; Man 1m80, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"Comparaison BMR Harris-Benedict 2500 kcal vs mod\u00e8le propri\u00e9taire brevet\u00e9 Lean 2000 kcal, \u00e9cart de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Geschatte BMR.<\/strong> Het gepatenteerde eigen model van Lean houdt rekening met de vetvrije massa. Harris-Benedict (MFP) niet. Verschil van 500&nbsp;kcal, het equivalent van een hele lunch.<\/p>\n  <\/div>\n\n  <p>Harris-Benedict, dat is 1919. We zitten net na de Eerste Wereldoorlog. Twee onderzoekers nemen 239 mensen, in \u00e9\u00e9n stad (Boston), leggen ze in een bed met een masker om het zuurstofverbruik te meten, en halen daar een formule uit die afhangt van gewicht, lengte, leeftijd en geslacht.<\/p>\n  <p>Voor die tijd was het vernieuwend. In 2025 is het onbruikbaar. Drie redenen:<\/p>\n  <ol>\n    <li><strong>De steekproef is belachelijk<\/strong>&nbsp;: 239 mensen, uit \u00e9\u00e9n Amerikaanse stad, in 1918. In een tijd waarin er veel minder overgewicht was dan nu, waarin de hormoonspiegels en de gemiddelde lichaamssamenstelling niets te maken hadden met de onze.<\/li>\n    <li><strong>Het meetinstrument was onnauwkeurig<\/strong>&nbsp;: de indirecte calorimetrie van toen had een enorme foutmarge. Modernere studies hebben aangetoond dat Harris-Benedict het basaal metabolisme systematisch overschat.<\/li>\n    <li><strong>Het conceptuele gebrek<\/strong>&nbsp;: de formule houdt alleen rekening met het gewicht. Niet met het vetpercentage. Niet met de vetvrije massa.<\/li>\n  <\/ol>\n  <p>Sinds de jaren 80 weten we echter dat <strong>vetmassa heel weinig energie verbruikt<\/strong> vergeleken met de rest van het lichaam. De lever, de hersenen, het hart, de nieren en vooral de spieren zijn de echte verbruikers. Vetmassa is inert. Iemand met 30&nbsp;% vet verbrandt lang niet zoveel als iemand met 10&nbsp;% vet, zelfs bij gelijk gewicht.<\/p>\n\n  <p>500&nbsp;kcal is niet niks. Als MFP je zegt \u00ab&nbsp;je BMR is 2&nbsp;500&nbsp;\u00bb en hij in werkelijkheid 2&nbsp;000 is, is alles wat volgt fout.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Bodyfat r\u00e9el<strong>Foto, 5 seconden<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">verschil tussen twee mannen van 80&nbsp;kg, de ene met 10&nbsp;% vet (BMR 1&nbsp;900), de andere met 30&nbsp;% (BMR 1&nbsp;500). MFP geeft hun hetzelfde cijfer.<\/div>\n  <\/div>\n\n  <p>Tussentijdse conclusie: als een app je BMR uitsluitend berekent op basis van je gewicht, lengte, leeftijd en geslacht, vlucht dan. Het is wiskundig onmogelijk om een betrouwbaar resultaat te krijgen.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Probleem 2<\/span><\/div>\n  <h2 id=\"p2\">De \u00ab&nbsp;bijna willekeurige&nbsp;\u00bb activiteitsco\u00ebffici\u00ebnt<\/h2>\n  <p>Hier wordt het ernstig. En dit is waarschijnlijk het punt dat niemand je heeft uitgelegd.<\/p>\n  <p>Zodra MFP je BMR (fout) heeft berekend, moet het je totale TDEE schatten. De <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">TDEE is de BMR + al de rest<\/a>&nbsp;: het verbruik door stappen, dagelijkse activiteiten, sport en vertering. Alles wat geen basaal metabolisme is.<\/p>\n  <p>Hoe doet MyFitnessPal dat? Het vraagt je een vakje aan te vinken:<\/p>\n  <ul><li>Zittend<\/li><li>Weinig actief<\/li><li>Actief<\/li><li>Zeer actief<\/li><\/ul>\n  <p>En afhankelijk van je keuze vermenigvuldigt het je BMR met een co\u00ebffici\u00ebnt (typisch 1,2&nbsp;\/ 1,375&nbsp;\/ 1,55&nbsp;\/ 1,725). Dat is alles. Dat is alles wat er achter je dagelijkse caloriedoel zit. Een vakje dat JIJ \u00e9\u00e9n keer hebt aangevinkt bij de inschrijving. Vaak zes maanden geleden. Sindsdien onveranderd.<\/p>\n  <p>En daar zit het stille schandaal: die benadering is <strong>hyper onvolmaakt<\/strong>. Het verschil tussen een dag waarop je aan de bank gekluisterd Netflix kijkt en een dag waarop je met je kinderen naar Disneyland gaat en 15&nbsp;km loopt, <strong>is meer dan 1&nbsp;000&nbsp;kcal<\/strong>.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 2 &middot; 7 echte dagen<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Variabilit\u00e9 quotidienne de la d\u00e9pense calorique sur 7 jours, contre 2400 kcal fixes selon MyFitnessPal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echt verbruik<\/strong> gemeten over 7&nbsp;dagen bij een Lean-gebruiker. De grijze lijn is wat MFP toonde (2&nbsp;400&nbsp;kcal vast). De roze annotaties tonen waarom elke dag beweegt.<\/p>\n  <\/div>\n\n  <p>Je kunt je activiteitsniveau niet herleiden tot een statisch vakje. Misschien ben je actief in de weken dat je weinig thuiswerkt, en zittend in de weken dat je het kantoor niet verlaat. Misschien ben je actief in de zomer en zittend in de winter. Misschien ben je actief van dinsdag tot vrijdag en zittend in het weekend.<\/p>\n  <p>Welk vakje ga je deze week aanvinken? De waarheid is dat geen van de 4 juist zal zijn. En dus geeft MFP je een TDEE die systematisch losstaat van de realiteit.<\/p>\n  <p>Het is bijna willekeurig. Het is zelfs iets beter dan een loterij, maar niet veel.<\/p>\n  <p>Het kernpunt van dit artikel: zelfs als MyFitnessPal een perfecte BMR-formule had (wat niet zo is), zou de activiteitsco\u00ebffici\u00ebnt volstaan om alles kapot te maken. Je kunt geen <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT<\/a>, een EAT en een <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF<\/a> met \u00e9\u00e9n vermenigvuldiger toegepast op de BMR. Dat is conceptueel absurd.<\/p>\n  <p>Je hebt het begrepen: <strong>een volledig vervalste BMR-formule, plus een benadering van de andere verbruiksposten, dat geeft geen enkele kans om je doelen te bereiken.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Bekijk je echte TDEE, uitgesplitst in BMR + NEAT + EAT + TEF. Gratis download.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Probleem 3<\/span><\/div>\n  <h2 id=\"p3\">De genegeerde metabole adaptatie<\/h2>\n  <p>Dit is de eindbaas. Het subtielste begrip. En waarschijnlijk het belangrijkste.<\/p>\n  <p>Als je in een calorietekort zit, begrijpt je lichaam dat het minder energie krijgt dan voorheen. Om zich te beschermen, schakelt het over op de spaarstand. Precies zoals de energiebesparingsmodus van je iPhone: alles blijft werken, maar met minder energie. Je BMR daalt. Je NEAT daalt. Je EAT daalt.<\/p>\n  <p>Dat noemen we metabole adaptatie. Dit zijn de cijfers:<\/p>\n  <ul>\n    <li>Tekort van &minus;250&nbsp;kcal per dag, gedurende 2 tot 8 weken: metabole adaptatie van <strong>5 tot 10&nbsp;%<\/strong><\/li>\n    <li>Tekort van &minus;500&nbsp;kcal per dag: <strong>10 tot 15&nbsp;%<\/strong><\/li>\n    <li>Tekort van &minus;750&nbsp;kcal per dag: <strong>15 tot 25&nbsp;%<\/strong><\/li>\n  <\/ul>\n  <p>En omdat NEAT, EAT en TEF allemaal afhangen van de BMR, wordt bijna je hele TDEE be\u00efnvloed.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figuur 3 &middot; 8 weken in tekort<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE qui chute de 2500 \u00e0 2150 kcal sur 8 semaines, contre 2500 fixe selon MFP\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Echte TDEE<\/strong> over 8 weken tekort op &minus;500&nbsp;kcal\/dag. De roze curve daalt. De grijze MFP-lijn blijft vlak. In week 6 zit je al op onderhoud. Zonder iets te hebben veranderd.<\/p>\n  <\/div>\n\n  <p>Concreet: als je een tekort van 10&nbsp;% had gepland op een TDEE van 2&nbsp;500 (dus 2&nbsp;250 per dag eten), en je lichaam past zich 10&nbsp;% aan, dan is je echte TDEE gezakt naar 2&nbsp;250. Je zit op onderhoud. Je verliest niet meer.<\/p>\n  <p>De valkuil is dat het sluipend gaat. In het begin verlies je. Je bent blij. Je gaat door. Maar week na week stapelt de adaptatie zich op. En op een gegeven moment, zonder iets aan je tracking te hebben veranderd, <strong>stop je met verliezen<\/strong>.<\/p>\n  <p>95&nbsp;% van de mensen maakt dit mee zonder het te begrijpen. Ze geven hun wilskracht de schuld. Ze wijten het aan hun \u00ab&nbsp;kapotte metabolisme&nbsp;\u00bb. Ze beginnen aan strengere di\u00ebten, wat de adaptatie verergert. Spiraal.<\/p>\n  <p>MyFitnessPal berekent de metabole adaptatie nooit. Het geeft je een vast en statisch doel. Als je na 6 weken stagneert, heeft de app geen idee waarom.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-oplossing<\/span><\/div>\n  <h2 id=\"solution\">Hoe Lean elk van de 3 problemen oplost<\/h2>\n  <p>Lean is niet gebouwd als een verbeterde kloon van MyFitnessPal. Lean is gebouwd als de app die we hadden willen hebben om de theorie van de volledige TDEE serieus te volgen. Concreet: zo behandelt Lean elk onderdeel.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Stap 1<strong>AI BodyScan<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Stap 2<strong>BMR herberekend<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">M.01 &middot; De BMR op echt vetpercentage<\/div>\n      <h3>Gepatenteerd eigen model, gebaseerd op vetvrije massa<\/h3>\n      <p>Lean gebruikt een <strong>gepatenteerd eigen model<\/strong> dat rechtstreeks afhangt van de vetvrije massa, niet van het ruwe gewicht. Daarvoor heeft de app je vetpercentage nodig. En dan pakken we het historisch vervelendste probleem aan: hoe meet je je vetpercentage zonder elke week 100&nbsp;\u20ac te betalen voor een DEXA-scan?<\/p>\n      <p>Lean-antwoord: de <strong>AI BodyScan<\/strong>. Je neemt een foto, de app stuurt die door een model dat is getraind op een enorme bank van DEXA-scans, en je krijgt je geschatte vetpercentage in enkele seconden. Je kunt het elke week opnieuw doen. De BMR wordt automatisch herberekend.<\/p>\n      <p>Vaarwel huidplooimeter (onnauwkeurig), vaarwel impedantieweegschaal (de oplichterij van de eeuw), vaarwel DEXA-scan (perfect maar ontoegankelijk). E\u00e9n foto, 5 seconden.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.02 &middot; Geen activiteitsco\u00ebffici\u00ebnt<\/div>\n      <h3>NEAT, EAT, TEF apart berekend<\/h3>\n      <p><strong>NEAT.<\/strong> Lean haalt je echte aantal stappen op via HealthKit (iOS) of Google Fit (Android). Geen verklaring. Geen \u00ab&nbsp;ik loop wel genoeg, denk ik&nbsp;\u00bb. Je stappen, gemeten door de zeer nauwkeurige versnellingsmeters van je smartphone. De <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT wordt berekend door die stappen te kruisen met je BMR<\/a>.<\/p>\n      <p><strong>EAT.<\/strong> Voor elke training selecteer je de sport in een lijst (krachttraining, hardlopen, tennis, zwemmen, enz.), en Lean gebruikt de MET (Metabolic Equivalent Task) van die sport om het echte verbruik te berekenen. Je voert de <strong>effectieve<\/strong> sporttijd in (niet de totale tijd met pauzes: de fout die 100&nbsp;% van de smartwatches maakt). Een krachttraining van 1&nbsp;050&nbsp;kcal volgens je Apple Watch? De realiteit is eerder 200&nbsp;kcal. Lean weigert die afwijking.<\/p>\n      <p><strong>TEF.<\/strong> Vertering verbrandt energie, en dat is geen vast forfait van 10&nbsp;%. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">Eiwitten kosten 20 tot 30&nbsp;%<\/a> van hun calorie\u00ebn aan vertering. Koolhydraten 5 tot 10&nbsp;%. Vetten 1 tot 3&nbsp;%. Lean berekent je echte TEF op basis van je macro&rsquo;s. Op 3&nbsp;000&nbsp;kcal\/dag kan dat 100&nbsp;kcal verschil betekenen, afhankelijk van de samenstelling van je dieet.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">M.03 &middot; Automatische metabole adaptatie<\/div>\n      <h3>Een wereldprimeur in een consumentenapp<\/h3>\n      <p>Lean is, voor zover wij weten, de eerste app die de metabole adaptatie automatisch berekent. Naarmate je weken in tekort vorderen, stelt de app je TDEE naar beneden bij volgens de wetenschappelijk vastgestelde cijfers. Je hoeft niets te doen. Je ziet gewoon je caloriedoel zachtjes bijgesteld worden, zonder verrassing.<\/p>\n      <p>Als je 10 tot 15&nbsp;% adaptatie bereikt, kan de app je een terugkeer naar onderhoud aanraden om je BMR te resetten voordat je opnieuw in tekort gaat. Cyclus, plateau, cyclus. Zoals in de echte protocollen.<\/p>\n      <p>Geen activiteitsco\u00ebffici\u00ebnt om te kiezen. Geen statisch vakje. Gewoon elk onderdeel nauwkeurig berekend, week na week.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Methode<strong>Metabole adaptatie<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Vergelijkende tabel<\/span><\/div>\n  <h2 id=\"tab\">Lean vs MyFitnessPal, criterium per criterium<\/h2>\n  <p>Eerlijke lezing van de sterke en zwakke punten van elke app. Geen enkel criterium gaat over de prijs.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#F5F5F7;border:1.5px solid #D1D1D6;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#0E0E10;letter-spacing:-0.2px\">MyFitnessPal<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Comparatif Lean vs MyFitnessPal\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Criterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>MyFitnessPal<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formule<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Gepatenteerd eigen model (vetvrije massa)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor (alleen gewicht)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Houdt rekening met vetpercentage<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nee<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Meting van het vetpercentage in de app<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nee<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (stappen, activiteit buiten de sport)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Berekend op echte stappen<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Samengevoegd in de co\u00ebffici\u00ebnt<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (verbruik door inspanning)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effectieve tijd<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Weinig betrouwbare forfaitaire schattingen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (vertering)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Berekend op basis van macro&rsquo;s<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Niet berekend<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabole adaptatie<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatisch, week na week<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nee<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Activiteitsco\u00ebffici\u00ebnt te kiezen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nee, berekend op echte gegevens<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ja, 4 statische vakjes<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoscan van een gerecht<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, onbeperkt<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Beperkt<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Barcodescan<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Voedingsdatabase<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, gecureerd<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Community, tot 10&nbsp;000 varianten van hetzelfde voedingsmiddel<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aanbeveling calorietekort<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Aangepast aan de echte TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Vaste schatting<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 methodes om een maaltijd te tracken<\/h2>\n  <p>Je calorie\u00ebn tracken is goed. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/\">Het 12 maanden volhouden is iets anders<\/a>. Principe nr. 1, <strong>v\u00f3\u00f3r de wetenschap, v\u00f3\u00f3r de macro&rsquo;s, v\u00f3\u00f3r alles<\/strong>, is therapietrouw. Als de trackingmethode je tegenstaat, stop je na 3 weken. Lean biedt 3 methodes om een maaltijd te tracken:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Methode 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Methode 2<strong>Barcode<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Methode 3<strong>AI-fotoscan<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Zoeken in de database.<\/strong> Gecureerde database, USDA + OpenFoodFacts. Geen communityruis, geen \u00ab&nbsp;Gebraden kip&nbsp;\u00bb 47 keer ingevoerd door 47 verschillende gebruikers met 47 verschillende waarden.<\/li>\n    <li><strong>Barcodescan.<\/strong> Standaard. Je scant je pak pasta, je krijgt de macro&rsquo;s.<\/li>\n    <li><strong>AI-fotoscan van een gerecht.<\/strong> Je fotografeert je bord, de AI herkent de voedingsmiddelen, je krijgt de calorie\u00ebn en macro&rsquo;s per voedingsmiddel.<\/li>\n  <\/ol>\n  <p>De AI-fotoscan is de gamechanger voor therapietrouw. Als je buitenshuis eet, in het restaurant, bij vrienden, is het megahandig. E\u00e9n foto, je sluit de app, je geniet van je avond. Ja, het is minder nauwkeurig dan wegen op de gram met een keukenweegschaal. Maar over 12 maanden is het wat het verschil maakt tussen volhouden en opgeven. En volhouden is wat telt.<\/p>\n  <p>Naast het tracken per maaltijd toont Lean een <strong>Live TDEE die in de loop van de dag wordt bijgewerkt<\/strong>. Hoe meer je loopt, hoe meer je verbruik stijgt, hoe meer je caloriedoel voor de dag wordt aangepast. Je ziet je caloriebalans live. Dat is motiverender dan een cijfer dat om 8 uur &rsquo;s ochtends is bevroren.<\/p>\n  <p>En boven dat alles is er de <strong>Progressiepiramide<\/strong>. Het is een scherm in de app dat rangschikt wat telt:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Lean-Progressiepiramide\">\n    <div class=\"level l1\"><span>Therapietrouw<\/span><span class=\"k\">Basis<\/span><\/div>\n    <div class=\"level l2\"><span>Caloriedoel<\/span><span class=\"k\">Verdieping 2<\/span><\/div>\n    <div class=\"level l3\"><span>Stappen \/ NEAT<\/span><span class=\"k\">Verdieping 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutri\u00ebnten<\/span><span class=\"k\">Top<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Sla geen stappen over. Als je niet regelmatig trackt, heeft het geen zin om je macro&rsquo;s tot op de procent te optimaliseren.<\/div>\n<\/section>\n\n<section aria-labelledby=\"mfp-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Eerlijkheid<\/span><\/div>\n  <h2 id=\"mfp-better\">Wat MyFitnessPal beter doet<\/h2>\n  <p>Lean is niet perfect, MFP heeft enkele voordelen die erkend moeten worden. Eerlijke lezing, criterium per criterium, op de assen waar MFP voorblijft.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard MFP vs Lean sur 4 axes secondaires\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">As<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> MyFitnessPal<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Naamsbekendheid &amp; online tutorials<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Grootte van de database<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Community \/ sociale feed<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Integraties met apps van derden<\/div>\n      <div class=\"bar mfp\" data-brand=\"MFP\"><div class=\"b\"><i style=\"width:85%\"><\/i><\/div><div class=\"v\">8,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:70%\"><\/i><\/div><div class=\"v\">7,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Eerlijke lezing.<\/strong> Op naamsbekendheid en sociale feed blijft MFP voor. Op de ruwe grootte van de voedingsdatabase heeft MFP meer items (maar de 14 miljoen items zijn community-invoer en ruis, tot 10&nbsp;000 varianten van hetzelfde voedingsmiddel). Op integraties met derden heeft MFP een ruimer ecosysteem. Lean integreert met HealthKit en Google Fit, wat 95&nbsp;% van de gevallen dekt.<\/p>\n  <p>Kortom, als je alleen een grof voedingsdagboek wilt zonder precies doel, volstaat MFP ruimschoots. Als je methodisch vet wilt verliezen met een <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">nauwkeurige TDEE<\/a>, volstaat MFP niet, en dat is wat in de 3 vorige secties net is aangetoond.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Voor wie<\/span><\/div>\n  <h2 id=\"forwho\">Voor wie Lean gemaakt is<\/h2>\n  <p>4 profielen. Als je jezelf in minstens \u00e9\u00e9n herkent, is Lean waarschijnlijk voor jou gemaakt.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Je hebt MFP serieus geprobeerd en bent niet afgevallen<\/h4>\n        <p>Je hebt wekenlang een eerlijk tekort toegepast, zonder resultaat. De oorzaak is zeer waarschijnlijk de vervalste TDEE. Lean corrigeert dat bij de wortel via de BMR op echt vetpercentage.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Je stagneert na meerdere weken cut<\/h4>\n        <p>Een plateau dat na 4 tot 8 weken blijft duren. Dat is de metabole adaptatie. Lean berekent die automatisch en stelt je doel elke week bij.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Je wilt je metabolisme begrijpen<\/h4>\n        <p>Lean toont elk onderdeel (BMR, NEAT, EAT, TEF, adaptatie) in plaats van alles achter \u00e9\u00e9n cijfer te verbergen. Je ziet waar elke kcal verbruik vandaan komt.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Je wilt een tracking die 12 maanden standhoudt<\/h4>\n        <p>AI-fotoscan + gecureerde database + barcode dekken alle gebruikssituaties, van het onbewerkte voedingsmiddel tot de pizza in het restaurant. Dat maakt het verschil tussen volhouden en opgeven.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>MyFitnessPal kan volstaan voor<\/strong>&nbsp;: wie alleen een voedingsdagboek wil zonder bijzondere precisie, of wie het sociale en communityaspect leuk vindt.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migratie<\/span><\/div>\n  <h2 id=\"migrate\">In 5 minuten migreren van MyFitnessPal naar Lean<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Download Lean<\/h4><p>App Store of Play Store. Inschrijving in 30 seconden.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>E\u00e9n foto, 5 seconden. Je krijgt je vetpercentage.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Gewicht &amp; lengte<\/h4><p>Vul je gewicht en lengte in. Dat is alles.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean berekent<\/h4><p>BMR, NEAT (HealthKit \/ Google Fit), EAT, TEF, adaptatie. Automatisch.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Track een maaltijd<\/h4><p>Foto, barcode of database. Begrijp de flow.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Belangrijke opmerking.<\/strong> Lean biedt geen automatische import van je MyFitnessPal-gegevens. Dat is bewust. De MFP-database wordt met de hand ingevoerd door gebruikers, en bevat dus ruis. We beginnen liever schoon, met een gecureerde USDA + OpenFoodFacts-database, dan de ruis te erven.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Download Lean en begin nu meteen met de AI BodyScan. Gratis inschrijving.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Wat Lean ontgrendelt<\/span><\/div>\n  <h2 id=\"deblock-h\">Wat Lean doet, en wat MFP nooit zal doen<\/h2>\n  <p>Zes functies die in geen enkele andere consumententracker bestaan. Ze vloeien allemaal voort uit hetzelfde principe: elk onderdeel van de TDEE nauwkeurig berekenen, niet benaderen.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Onbeperkte AI BodyScan<\/div><p class=\"fd\">Je echte vetpercentage, gemeten vanaf een simpele foto, wekelijks herhaald. Het is het gegeven dat de hele BMR-berekening verandert. Geen enkele andere consumentenapp biedt dat.<\/p><\/div><div class=\"fc\">Vetpercentage<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Onbeperkte AI-fotoscan van een gerecht<\/div><p class=\"fd\">Track je maaltijd in het restaurant in 2 seconden. Geen weegschaal, geen handmatige invoer. De gamechanger voor therapietrouw over 12 maanden.<\/p><\/div><div class=\"fc\">Therapietrouw<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatische metabole adaptatie<\/div><p class=\"fd\">Je TDEE wordt week na week bijgesteld volgens de wetenschappelijk vastgestelde cijfers. Je vermijdt de plateaus die niemand kan verklaren.<\/p><\/div><div class=\"fc\">Adaptatie<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live uitgesplitste TDEE<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF elk apart getoond, bijgewerkt in de loop van de dag. Geen bevroren cijfer om 8 uur &rsquo;s ochtends meer. Je ziet je caloriebalans live.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Volledige geschiedenis en trends<\/div><p class=\"fd\">Volg je trends in gewicht, vetpercentage en vetvrije massa over maanden. Begrijp je cycli. Herken de fases waarin je vooruitgaat en die waarin je stagneert.<\/p><\/div><div class=\"fc\">Geschiedenis<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 ge\u00efntegreerde trackingmethodes<\/div><p class=\"fd\">Foto, barcode, gecureerde database. Geen enkele andere app biedt alle drie met zo&rsquo;n precisie. Jij kiest de methode naargelang de context.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Je installeert de app gratis, je test zonder verplichting en je beslist daarna of de tool bij je doel past.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Veelgestelde vragen<\/h2>\n  <div class=\"faq\">\n    <details><summary>Is Mifflin-St Jeor beter dan Harris-Benedict?<\/summary><div class=\"ans\">Marginaal. Mifflin-St Jeor (1990) is een update van Harris-Benedict met een iets modernere steekproef. Maar ze erft hetzelfde conceptuele gebrek: geen vetpercentage als invoer. Het is gewoon een opnieuw geschilderde versie van dezelfde fout. MFP gebruikt Mifflin-St Jeor al enkele jaren, wat beter is dan Harris-Benedict, maar het fundamentele probleem niet corrigeert.<\/div><\/details>\n    <details><summary>Moet je echt je vetpercentage kennen?<\/summary><div class=\"ans\">Ja. Zonder vetpercentage kan je BMR er 400&nbsp;kcal naast zitten (zie het voorbeeld van de twee mannen van 80&nbsp;kg, de ene met 10&nbsp;%, de andere met 30&nbsp;%). Je zult nooit serieus afvallen zonder dat gegeven. Het elke week meten met de AI BodyScan duurt 5 seconden.<\/div><\/details>\n    <details><summary>Werkt de activiteitsco\u00ebffici\u00ebnt helemaal niet?<\/summary><div class=\"ans\">Voor een ultragrove schatting over 6 maanden kan het een vage tendens geven. Om een precies doel te bereiken (vetverlies, droge massa opbouwen) is het onvoldoende. De dagelijkse variabiliteit van het verbruik is te groot om door een statisch vakje te worden gevat.<\/div><\/details>\n    <details><summary>Wat is de metabole adaptatie precies?<\/summary><div class=\"ans\">Het is de spontane daling van je calorieverbruik bij een langdurig tekort. Energiebesparingsmodus. Bij een tekort van &minus;500&nbsp;kcal\/dag kan je TDEE 10 tot 15&nbsp;% dalen in 4 tot 6 weken. Als een app dat niet weet, stagneer je zonder te begrijpen waarom.<\/div><\/details>\n    <details><summary>Hoelang duurt het om resultaat te zien met Lean?<\/summary><div class=\"ans\">Alles hangt af van het toegepaste tekort. Bij een redelijk tekort van &minus;250 tot &minus;500&nbsp;kcal\/dag zou je een verlies van 0,3 tot 0,6&nbsp;kg per week moeten zien. Het grote verschil met MFP: met Lean is je TDEE nauwkeurig bekend, dus je tekort wordt echt toegepast, zonder statistische verrassing.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Conclusie<\/span><\/div>\n  <h2 id=\"conclu\">1919 tegenover 2025<\/h2>\n  <p>Het is niet MyFitnessPal tegen Lean in marketing. Het is 1919 tegenover 2025 in wetenschap.<\/p>\n  <p>MFP gebruikt een formule van net na de Eerste Wereldoorlog, plus een bijna willekeurige activiteitsco\u00ebffici\u00ebnt, en negeert de metabole adaptatie. De combinatie van die drie maakt elke nauwkeurige schatting onmogelijk. Dat is wiskunde.<\/p>\n  <p>Lean is gebouwd om precies het omgekeerde te doen: BMR gebaseerd op de <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">echte vetpercentage<\/a> (gemeten via AI BodyScan) via een gepatenteerd eigen model, <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT op echte stappen<\/a>, EAT per sport en MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF op macro&rsquo;s<\/a>, automatische metabole adaptatie. Elk onderdeel nauwkeurig berekend, zonder magische co\u00ebffici\u00ebnt.<\/p>\n  <p>Als je MFP serieus hebt geprobeerd en niet de resultaten hebt gekregen die je hoopte, ligt het probleem niet bij jou. Het probleem zit onder de motorkap. Wissel van app.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean is gratis te downloaden<\/h3>\n  <p>iOS en Android. De AI BodyScan werkt met een simpele foto. Geen huidplooimeter, geen impedantieweegschaal, geen DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur l'App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\" aria-label=\"T\u00e9l\u00e9charger Lean sur Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Verder lezen<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne links<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/tdee-calculator\/\">Gratis online TDEE-calculator<\/a> &middot; webversie, zonder inschrijving, dezelfde logica als de app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\">De TDEE in detail begrijpen (BMR, NEAT, EAT, TEF, adaptatie)<\/a> &middot; diepgaand wetenschappelijk artikel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/\">Hoe je je calorie\u00ebn correct telt<\/a> &middot; praktische gids voor beginners.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT: verbruik per stap en activiteit buiten de sport<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF: de vertering verbrandt calorie\u00ebn<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Bronnen<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografie<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikel gepubliceerd op 21 mei 2026. Regelmatig bijgewerkt met feedback van gebruikers en nieuwe relevante studies. Lean is beschikbaar op iOS en Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-mfp\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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Lean stelt je TDEE continu opnieuw samen.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>MyFitnessPal calcule votre TDEE avec une formule de 1919, sans bodyfat ni adaptation m\u00e9tabolique. Lean fait tout ce que MFP ne sait pas faire. Comparatif honn\u00eate.<\/p>","protected":false},"author":1,"featured_media":1242,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs MyFitnessPal: waarom MFP je verbruik fout berekent<\/title>\n<meta name=\"description\" content=\"Waarom MyFitnessPal je calorieverbruik fout berekent: BMR op een formule uit 1919, geen metabole adaptatie, vaste NEAT\/EAT. 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