{"id":1958,"date":"2026-08-25T11:41:43","date_gmt":"2026-08-25T11:41:43","guid":{"rendered":"https:\/\/lean-app.com\/calculateur-proteines\/"},"modified":"2026-09-05T10:39:04","modified_gmt":"2026-09-05T10:39:04","slug":"calculateur-proteines","status":"publish","type":"post","link":"https:\/\/lean-app.com\/no\/calculateur-proteines\/","title":{"rendered":"Calculateur de prot\u00e9ines : tes grammes par jour, sur ta masse maigre"},"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\" 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.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-tdee{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:18px 20px;text-align:center}\n#lvm-shell .calc-tdee .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-tdee .val{font-family:var(--font-display);font-size:40px;font-weight:600;letter-spacing:-.025em;margin-top:6px;color:var(--ink);line-height:1}\n#lvm-shell .calc-tdee .val .unit{font-size:14px;font-weight:500;color:var(--muted);margin-left:6px;letter-spacing:0}\n#lvm-shell .calc-tdee .note{font-size:12px;color:var(--dim);margin-top:6px}\n#lvm-shell .scen-grid{display:grid;grid-template-columns:1fr;gap:10px;margin-top:4px}\n#lvm-shell .scen-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:14px 16px}\n#lvm-shell .scen-card.lent{border-left:4px solid #4CAF50}\n#lvm-shell .scen-card.mod{border-left:4px solid var(--pink)}\n#lvm-shell .scen-card.agg{border-left:4px solid #E84D44}\n#lvm-shell .scen-card .scen-h{display:flex;align-items:baseline;justify-content:space-between;gap:10px}\n#lvm-shell .scen-card .scen-name{font-family:var(--font-display);font-weight:600;font-size:15px;color:var(--ink);letter-spacing:-.01em}\n#lvm-shell .scen-card .scen-pct{font-family:var(--font-mono);font-size:12px;color:var(--muted);font-weight:600}\n#lvm-shell .scen-card .scen-kcal{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .scen-card.mod .scen-kcal{color:var(--pink)}\n#lvm-shell .scen-card .scen-kcal .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .scen-card .scen-rate{font-size:13px;color:var(--ink-2);margin-top:4px}\n#lvm-shell .scen-card .scen-warn{font-size:12px;color:#B23030;margin-top:6px;line-height:1.4}\n#lvm-shell .calc-delta{margin-top:10px;padding:14px 16px;background:var(--pink-soft);border-left:3px solid var(--pink);border-radius:0 10px 10px 0;font-size:14px;color:var(--ink);line-height:1.5}\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\/* 3 scenarios detailed cards *\/\n#lvm-shell .sce-detail{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .sce-detail .sd{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .sce-detail .sd.lent{border-left:4px solid #4CAF50}\n#lvm-shell .sce-detail .sd.mod{border-left:4px solid var(--pink)}\n#lvm-shell .sce-detail .sd.agg{border-left:4px solid #E84D44}\n#lvm-shell .sce-detail .sd .head{display:flex;align-items:baseline;justify-content:space-between;gap:10px;margin-bottom:6px;flex-wrap:wrap}\n#lvm-shell .sce-detail .sd h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .sce-detail .sd .pct{font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--muted)}\n#lvm-shell .sce-detail .sd.lent .pct{color:#4CAF50}\n#lvm-shell .sce-detail .sd.mod .pct{color:var(--pink)}\n#lvm-shell .sce-detail .sd.agg .pct{color:#E84D44}\n#lvm-shell .sce-detail .sd .lab{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin:10px 0 2px}\n#lvm-shell .sce-detail .sd p{margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)}\n\n\/* BodyScan illust (defensive inline-equivalent here) *\/\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\/* 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:\"\\2212 \"}\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\/* Body copy *\/\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\n\n\/* NEAT-specific styles, scoped #lvm-shell *\/\n#lvm-shell .neat-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:14px auto 10px;max-width:340px;overflow:hidden}\n#lvm-shell .neat-meter i{display:block;height:100%;width:30%;border-radius:6px;background:linear-gradient(90deg,#FFB25E,#FF8C00);transition:width .3s ease}\n#lvm-shell .neat-pill{display:inline-block;padding:5px 14px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase;font-family:var(--font-mono);color:#0E0E10}\n#lvm-shell .neat-pill.ok{background:#A8D5A0}\n#lvm-shell .neat-pill.warn{background:#FF8C00;color:#fff}\n#lvm-shell .neat-pill.alert{background:#E84D44;color:#fff}\n#lvm-shell .bmr-duo{display:grid;grid-template-columns:1fr;gap:12px}\n@media(min-width:640px){#lvm-shell .bmr-duo{grid-template-columns:1fr 1fr}}\n#lvm-shell .bd-card{background:#fff;border:1px solid var(--rule);border-radius:12px;padding:16px 18px;text-align:center}\n\/* modificateur \"pas\" (PAS \"steps\" : #lvm-shell .steps existe deja dans le shell\n   comme stepper grid 5 colonnes, collision detectee au controle visuel desktop) *\/\n#lvm-shell .bd-card.pas{border-left:4px solid #FF8C00}\n#lvm-shell .bd-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 .bd-card .v{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:var(--ink);margin-top:6px;line-height:1}\n#lvm-shell .bd-card .v .u{font-size:13px;font-weight:500;color:var(--muted);margin-left:4px;letter-spacing:0}\n#lvm-shell .bd-card .s{font-size:12px;color:var(--dim);margin-top:6px;line-height:1.45}\n#lvm-shell .bd-card .s b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px;margin-top:12px}\n#lvm-shell .share-card .label{font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-family:var(--font-mono);margin-bottom:6px}\n#lvm-shell .share-card p{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .share-card b{color:var(--ink);font-family:var(--font-mono)}\n#lvm-shell .share-meter{height:10px;border-radius:6px;background:#F1EFE7;margin:10px 0 4px;overflow:hidden}\n#lvm-shell .share-meter i{display:block;height:100%;width:20%;border-radius:6px;background:#FF8C00;transition:width .3s ease}\n#lvm-shell .reco-card{background:#fff;border:1px solid var(--rule);border-left:4px solid var(--pink);border-radius:12px;padding:18px 20px}\n#lvm-shell .reco-card .rc-title{font-family:var(--font-display);font-weight:600;font-size:16px;color:var(--ink);letter-spacing:-.01em;margin-bottom:6px}\n#lvm-shell .reco-card .rc-body{margin:0;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .reco-card .rc-disclaimer{margin:12px 0 0;font-size:12px;line-height:1.5;color:var(--dim);border-top:1px solid var(--rule-soft);padding-top:10px}\n#lvm-shell .mvr{display:grid;grid-template-columns:1fr;gap:18px;margin:32px 0}\n#lvm-shell .mvr .mv{background:#fff;border:1px solid var(--rule);border-radius:14px;padding:22px 24px}\n#lvm-shell .mvr .mv.myth{border-left:4px solid #E84D44}\n#lvm-shell .mvr .mv.real{border-left:4px solid #4CAF50}\n#lvm-shell .mvr .mv .tag{font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:.08em;font-family:var(--font-mono);margin-bottom:8px}\n#lvm-shell .mvr .mv.myth .tag{color:#E84D44}\n#lvm-shell .mvr .mv.real .tag{color:#4CAF50}\n#lvm-shell .mvr .mv h4{font-family:var(--font-display);font-size:19px;font-weight:600;margin:0 0 8px;color:var(--ink);letter-spacing:-.015em}\n#lvm-shell .mvr .mv p{margin:0 0 10px;font-size:14px;line-height:1.6;color:var(--ink-2)}\n#lvm-shell .mvr .mv p:last-child{margin-bottom:0}\n#lvm-shell .steps-out{font-family:var(--font-mono);font-size:13px;font-weight:700;color:#FF8C00;margin-left:8px}\n\/* keycards chiffrees couleur NEAT *\/\n#lvm-shell .key-grid{display:grid;grid-template-columns:1fr;gap:12px;margin:26px 0}\n@media(min-width:640px){#lvm-shell .key-grid{grid-template-columns:repeat(3,1fr)}}\n#lvm-shell .key-card{background:#fff;border:1px solid var(--rule);border-left:4px solid #FF8C00;border-radius:12px;padding:16px 18px}\n#lvm-shell .key-card .kv{font-family:var(--font-display);font-size:28px;font-weight:600;letter-spacing:-.02em;color:#FF8C00;line-height:1.1}\n#lvm-shell .key-card .kv span{font-size:13px;font-weight:500;color:var(--muted);margin-left:3px;letter-spacing:0}\n#lvm-shell .key-card .kl{font-size:13px;color:var(--dim);margin-top:6px;line-height:1.5}\n\/* aide bodyfat + popup BodyScan (zero lib externe) *\/\n#lvm-shell .bf-help{display:inline-block;background:none;border:0;padding:0;margin-top:8px;font-size:13px;font-weight:600;color:var(--pink);text-decoration:underline;cursor:pointer;font-family:inherit}\n#lvm-shell .bf-modal{position:fixed;inset:0;z-index:9999;display:none;align-items:center;justify-content:center;padding:18px}\n#lvm-shell .bf-modal.open{display:flex}\n#lvm-shell .bf-modal .bf-ovl{position:absolute;inset:0;background:rgba(14,14,16,.55)}\n#lvm-shell .bf-dialog{position:relative;background:#fff;border-radius:16px;max-width:340px;width:100%;padding:24px 22px 20px;text-align:center;box-shadow:0 24px 60px rgba(0,0,0,.25);max-height:88vh;overflow-y:auto}\n#lvm-shell .bf-dialog .bf-close{position:absolute;top:8px;right:10px;background:none;border:0;font-size:26px;line-height:1;color:#6E6E73;cursor:pointer;padding:6px}\n#lvm-shell .bf-dialog .bf-title{font-family:var(--font-display);font-size:19px;font-weight:600;color:var(--ink);letter-spacing:-.01em;margin:0 0 8px}\n#lvm-shell .bf-dialog .bf-text{font-size:14px;line-height:1.55;color:var(--ink-2);margin:0 0 14px}\n#lvm-shell .bf-dialog .bf-sub{font-size:12px;line-height:1.5;color:var(--dim);margin:14px 0}\n#lvm-shell .bf-dialog .bf-stores{display:flex;gap:10px;justify-content:center;align-items:center;flex-wrap:wrap}\n#lvm-shell .bf-dialog .bf-stores img{height:40px;width:auto;display:block}\n<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1958 #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-1958 #lvm-shell .wrap,\nbody.postid-1958 #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-1958 #lvm-shell .wrap,\n  body.postid-1958 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1958 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1958 #lvm-shell *{max-width:100%}\nbody.postid-1958 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1958 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1958 #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-1958 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1958 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1958 #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-1958 #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-1958 #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-1958 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1958 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1958 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1958 #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-1958 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1958 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1958 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1958 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1958 #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-1958 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1958 #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-1958 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1958 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1958 #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-1958 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1958 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1958 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1958 #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-1958 #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-1958 #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-1958 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1958 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1958 #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-1958 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1958 #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-1958 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1958 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1958 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1958 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1958 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1958 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1958 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1958 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1958 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1958 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1958 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1958 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1958 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1958 #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-1958 #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-1958 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1958 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"CRONOMETER\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#E15822!important;\n  }\n  body.postid-1958 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1958 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1958 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1958 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1958 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1958 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1958 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1958 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1958 #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-1958 #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-1958 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1958 #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-1958 #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-1958 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1958 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1958 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1958 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1958 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1958 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1958 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n\n\/* Fix CompressX picture wrappers : images ne doivent pas exploser *\/\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 .scr picture{display:block;width:100%;height:100%}\n#lvm-shell .bodyscan-illust .mini-phone .scr picture img{width:100%!important;height:100%!important;object-fit:cover!important}\n#lvm-shell .pyramide-illust picture{display:block;width:100%}\n#lvm-shell .pyramide-illust picture img{width:100%!important;height:auto!important;border-radius:18px}<\/style>\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\/no\/\"><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\/no\/\">Hjem<\/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=calc-proteines\" 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=calc-proteines\" 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<div class=\"progress\"><i><\/i><\/div>\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/no\/\">Hjem<\/a> &nbsp;\/&nbsp; Proteinkalkulator<\/div>\n  <div class=\"eyebrow\">Kalkulator &middot; Proteiner &amp; idrettsern\u00e6ring<\/div>\n  <h1 id=\"title\">Proteinkalkulator&nbsp;: grammene dine per dag\n    <span class=\"alt\">beregnet p\u00e5 den fettfrie massen din, ikke p\u00e5 totalvekten din<\/span>\n  <\/h1>\n  <p class=\"dek\">\u00ab2 gram per kilo\u00bb: anbefalingen man h\u00f8rer overalt har en skjult feil: den snakker om totalvekten din, fett inkludert. Men proteinene dine n\u00e6rer den fettfrie massen din, ikke fettmassen din. Denne kalkulatoren bruker intervallene fra fagfeltets referanser (Morton 2018, Helms 2014) p\u00e5 den reelle fettfrie massen din, etter m\u00e5let ditt: deff, vedlikehold eller muskel\u00f8kning.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; Lesetid 8&nbsp;min &middot; Oppdatert 26. august 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=calc-proteines\" 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=calc-proteines\" 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 nedlasting<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      De klassiske anbefalingene gir proteiner per kilo totalvekt, som om ett kilo fett hadde samme behov som ett kilo muskel. Det er n\u00f8yaktig det Lean avviser: makroene dine beregnes p\u00e5 den reelle sammensetningen din, m\u00e5lt med AI BodyScan, og f\u00f8lges automatisk ved hvert logget m\u00e5ltid. Denne siden bruker samme logikk: f\u00f8rst den fettfrie massen din, deretter grammene dine.\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>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran pour explorer l&rsquo;app<\/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>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran<br>for \u00e5 utforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"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=\"Tilbake\">&#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=\"Forbruk-fanen\"><\/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\">Oversikt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">D\u00e9pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat\u00e9gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Raskt svar<\/div>\n    <p>Intervallene det er konsensus om i litteraturen: omtrent <b>1,6 til 2,2&nbsp;g per kilo kroppsvekt<\/b> for \u00e5 gj\u00f8re fremgang i styrketrening (Morton-metaanalysen 2018), og i deff, <b>2,3 til 3,1&nbsp;g per kilo fettfri masse<\/b> for \u00e5 beskytte muskelen (Helms 2014). For en mann p\u00e5 75&nbsp;kg med 15&nbsp;% fett gir det <b>147 til 198&nbsp;g per dag<\/b> i deff. Beregn ditt n\u00f8yaktige intervall nedenfor, p\u00e5 m\u00e5lingene dine.<\/p>\n  <\/div>\n<\/section>\n\n<h2 class=\"sect\"><span class=\"num\">02 &middot; Kalkulator<\/span>Beregn grammene dine med protein per dag<\/h2>\n<p>Kroppen din, fettprosenten din, m\u00e5let ditt: kalkulatoren utleder den fettfrie massen din og bruker deretter de publiserte intervallene: <b>2,3 til 3,1&nbsp;g per kilo fettfri masse<\/b> i deff (Helms 2014), <b>1,8 til 2,2<\/b> p\u00e5 vedlikehold og <b>1,6 til 2,2<\/b> i muskel\u00f8kning (Morton 2018, Phillips 2011). Hvis du ikke kjenner fettprosenten din, m\u00e5l den f\u00f8rst med v\u00e5r <a href=\"https:\/\/lean-app.com\/no\/calculateur-masse-grasse\/\">fettprosentkalkulator<\/a> (2 minutter, et m\u00e5leb\u00e5nd) eller AI BodyScan.<\/p>\n\n<div class=\"calc-board\" id=\"calcBoard\">\n  <div class=\"calc-inputs\">\n    <h3>M\u00e5lingene dine<\/h3>\n    <div class=\"calc-row\">\n      <label>Kj\u00f8nn<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"sex\" value=\"M\" checked><span>Mann<\/span><\/label>\n        <label><input type=\"radio\" name=\"sex\" value=\"F\"><span>Kvinne<\/span><\/label>\n      <\/div>\n    <\/div>\n    <div class=\"calc-row\"><label for=\"cAge\">Alder (\u00e5r)<\/label><input id=\"cAge\" type=\"number\" min=\"14\" max=\"90\" value=\"30\"><\/div>\n    <div class=\"calc-row\"><label for=\"cWeight\">Vekt (kg)<\/label><input id=\"cWeight\" type=\"number\" min=\"35\" max=\"200\" step=\"0.1\" value=\"75\"><\/div>\n    <div class=\"calc-row\">\n      <label for=\"cBodyfat\">Fettprosent<span class=\"steps-out\" id=\"bfVal\">15&nbsp;%<\/span><\/label>\n      <div class=\"calc-bf\"><input id=\"cBodyfat\" type=\"range\" min=\"5\" max=\"45\" step=\"0.5\" value=\"15\"><\/div>\n      <button type=\"button\" class=\"bf-help\" id=\"bfHelp\">Kjenner du ikke fettprosenten din&nbsp;?<\/button>\n      <div class=\"calc-note\" id=\"bfHint\">Vanlige intervaller for en mann: 10 til 25&nbsp;%. M\u00e5l den med m\u00e5leb\u00e5nd med fettprosentkalkulatoren v\u00e5r, eller med foto via BodyScan.<\/div>\n    <\/div>\n    <div class=\"calc-row\">\n      <label>M\u00e5let ditt<\/label>\n      <div class=\"calc-sex\">\n        <label><input type=\"radio\" name=\"goal\" value=\"cut\" checked><span>Deff<\/span><\/label>\n        <label><input type=\"radio\" name=\"goal\" value=\"maintain\"><span>Vedlikehold<\/span><\/label>\n        <label><input type=\"radio\" name=\"goal\" value=\"bulk\"><span>Muskel\u00f8kning<\/span><\/label>\n      <\/div>\n      <div class=\"calc-note\" id=\"goalHint\">I deff beskytter proteinene muskelen din under underskuddet: det er der intervallet er h\u00f8yest.<\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"calc-results\">\n    <div class=\"calc-tdee\">\n      <div class=\"label\">De daglige proteinene dine<\/div>\n      <div class=\"val\"><span id=\"rProt\">147-198<\/span><span class=\"unit\">g\/dag<\/span><\/div>\n      <div class=\"neat-meter\" aria-hidden=\"true\"><i id=\"protBar\"><\/i><\/div>\n      <span class=\"neat-pill warn\" id=\"protPill\">Deffm\u00e5l<\/span>\n      <div class=\"note\">Intervall beregnet p\u00e5 den fettfrie massen din (Helms 2014 i deff; Morton 2018 og Phillips 2011 ellers). Sikt mot nedre del av intervallet p\u00e5 normale dager, \u00f8vre del p\u00e5 dager med hard trening eller stort underskudd.<\/div>\n    <\/div>\n\n    <div class=\"bmr-duo\">\n      <div class=\"bd-card pas\">\n        <div class=\"label\">Per m\u00e5ltid<\/div>\n        <div class=\"v\"><span id=\"rMeal\">37-49<\/span><span class=\"u\">g &times; 4<\/span><\/div>\n        <div class=\"s\">Fordelt p\u00e5 3 til 5 m\u00e5ltider, omtrent <b id=\"rMealN\">4<\/b> inntak<\/div>\n      <\/div>\n      <div class=\"bd-card\">\n        <div class=\"label\">Den fettfrie massen din<\/div>\n        <div class=\"v\"><span id=\"rFfm\">63,8<\/span><span class=\"u\">kg<\/span><\/div>\n        <div class=\"s\">Grunnlaget for beregningen: vekt &times; (1 &minus; fettprosent)<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"share-card\">\n      <div class=\"label\">I konkrete ekvivalenter<\/div>\n      <div class=\"share-meter\" aria-hidden=\"true\"><i id=\"shareBar\"><\/i><\/div>\n      <p>Midten av intervallet ditt, <b id=\"rMid\">172<\/b>&nbsp;g, tilsvarer for eksempel <b id=\"eqPoulet\">550<\/b>&nbsp;g kyllingbryst, eller <b id=\"eqOeufs\">27<\/b> egg, eller <b id=\"eqSkyr\">1,7<\/b>&nbsp;kg skyr. I praksis kombinerer man kildene gjennom dagen; appen teller grammene automatisk ved hver logget matvare.<\/p>\n    <\/div>\n\n    <div class=\"calc-delta\" id=\"deltaLine\">\n      Den generiske anbefalingen \u00ab&nbsp;2&nbsp;g per kilo kroppsvekt&nbsp;\u00bb ville gi deg <b id=\"dTotal\">150<\/b>&nbsp;g: alts\u00e5 <b id=\"dGap\">22<\/b>&nbsp;g i avvik fra beregningen p\u00e5 den fettfrie massen din. Jo mer fettprosenten din avviker fra gjennomsnittet, jo mer bommer anbefalingen p\u00e5 totalvekt.\n    <\/div>\n\n    <div class=\"reco-card\" id=\"recoCard\">\n      <div class=\"rc-title\" id=\"recoTitle\">Anbefaling<\/div>\n      <p class=\"rc-body\" id=\"recoBody\"><\/p>\n      <p class=\"rc-disclaimer\">Pedagogisk anslag basert p\u00e5 publiserte intervaller (Morton 2018; Helms 2014; Phillips 2011). Denne kalkulatoren er ikke et diagnostisk verkt\u00f8y og erstatter ikke medisinske r\u00e5d, spesielt ved nyresykdom.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  Denne kalkulatoren gir m\u00e5let ditt med en transparent formel. <b>Lean g\u00e5r lenger:<\/b> hver logget matvare (base, strekkode eller AI-foto) mater proteintelleren din i sanntid, og m\u00e5let ditt bygger p\u00e5 fettprosenten din m\u00e5lt med BodyScan, oppdatert kontinuerlig. <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=calc-proteines\">F\u00f8lg proteinene dine i Lean.<\/a>\n<\/div>\n\n<div class=\"bf-modal\" id=\"bfModal\" role=\"dialog\" aria-modal=\"true\" aria-labelledby=\"bfModalTitle\">\n  <div class=\"bf-ovl\" id=\"bfOvl\"><\/div>\n  <div class=\"bf-dialog\">\n    <button class=\"bf-close\" id=\"bfClose\" type=\"button\" aria-label=\"Fermer\">&times;<\/button>\n    <div class=\"bf-title\" id=\"bfModalTitle\">Kjenner du ikke fettprosenten din&nbsp;?<\/div>\n    <p class=\"bf-text\">Leans AI BodyScan m\u00e5ler den p\u00e5 5&nbsp;sekunder med ett enkelt foto: fettprosent, fettfri masse og fettmasse, direkte fra telefonen din.<\/p>\n    <div class=\"bodyscan-illust\" style=\"margin:0 auto;max-width:200px\">\n      <div class=\"mini-phone\" style=\"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;margin:0 auto\">\n        <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n        <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : bodyfat mesur\u00e9 depuis une photo, masse maigre et masse grasse\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n      <\/div>\n    <\/div>\n    <p class=\"bf-sub\">To alternativer: v\u00e5r <a href=\"https:\/\/lean-app.com\/no\/calculateur-masse-grasse\/\">m\u00e5leb\u00e5ndkalkulator<\/a> (2 minutter, gratis), eller foto-BodyScan ovenfor. I mellomtiden, la glidebryteren st\u00e5 p\u00e5 en omtrentlig verdi: en omtrentlig fettprosent er bedre enn en beregning p\u00e5 totalvekt.<\/p>\n    <div class=\"bf-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=calc-proteines\" target=\"_blank\" rel=\"noopener\"><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\"><\/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=calc-proteines\" target=\"_blank\" rel=\"noopener\"><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\"><\/a>\n    <\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">03 &middot; Vitenskapen<\/span>Hvorfor proteinene dine beregnes p\u00e5 den fettfrie massen din<\/h2>\n\n<div class=\"statement\"><p>Ett kilo fett trenger ikke proteiner. <span class=\"accent\">Ett kilo muskel gj\u00f8r det.<\/span><\/p><\/div>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">1,6-2,2<span>g\/kg<\/span><\/div><div class=\"kl\">taket over hvilket mer protein ikke lenger bygger muskel (Morton-metaanalysen 2018, 49 studier)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">2,3-3,1<span>g\/kg FFM<\/span><\/div><div class=\"kl\">intervallet i deff, per kilo fettfri masse, for \u00e5 beskytte muskelen (Helms 2014)<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">+1,1<span>kg muskel<\/span><\/div><div class=\"kl\">vunnet I underskudd av gruppen h\u00f8yt protein + styrke hos Longland 2016, mens den mistet 4,8 kg fett<\/div><\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Proteiner brukes til \u00e5 bygge og reparere aktive vev: muskler, organer, enzymer. Fettmassen din bruker derimot nesten ingen. Derfor resonnerer seri\u00f8se anbefalinger i gram <b>per kilo av det som teller<\/b> : den fettfrie massen. En anbefaling p\u00e5 totalvekt gj\u00f8r den stille antakelsen at alle har samme kroppssammensetning, n\u00f8yaktig samme feil som vektbaserte BMR-formler ogs\u00e5 gj\u00f8r.<\/p>\n<p>Det litteraturen sier, i tre referansepunkter. I muskelbygging plasserer Morton-metaanalysen (2018, 49 studier, 1&nbsp;863 fors\u00f8kspersoner) det nyttige taket rundt <b>1,6&nbsp;g\/kg<\/b>, \u00f8vre grense av intervallet p\u00e5 2,2: utover det, ingen m\u00e5lbar ekstra gevinst. I deff anbefaler Helms (2014) <b>2,3 til 3,1&nbsp;g per kilo fettfri masse<\/b>, desto h\u00f8yere jo st\u00f8rre underskuddet er og jo mer definert du allerede er. Og Longland (2016) viste kraften i kombinasjonen: i alvorlig underskudd med h\u00f8yt protein og styrketrening <b>mistet fors\u00f8kspersonene 4,8&nbsp;kg fett samtidig som de vant 1,1&nbsp;kg muskel<\/b> p\u00e5 4 uker.<\/p>\n<p>Konkret, to menn p\u00e5 90&nbsp;kg: den f\u00f8rste med 12&nbsp;% fett (79&nbsp;kg fettfri masse), den andre med 30&nbsp;% (63&nbsp;kg). Den generiske anbefalingen \u00ab2&nbsp;g\/kg\u00bb gir dem begge 180&nbsp;g. Beregningen p\u00e5 fettfri masse gir omtrent 182 til 245&nbsp;g til den f\u00f8rste i deff, og 145 til 195&nbsp;g til den andre: anbefalingen p\u00e5 vekt <b>underdoserer den definerte idrettsut\u00f8veren og overdoserer den fyldigere profilen<\/b>, i proporsjoner som synes p\u00e5 bevart muskel ved m\u00e5lgang.<\/p>\n<p>Hvor h\u00f8rer det hjemme i ligningen? Proteiner er ogs\u00e5 makroen med sterkest <b>termisk effekt<\/b> : 20 til 30&nbsp;% av kaloriene deres g\u00e5r til ford\u00f8yelse (mot 5 til 10&nbsp;% for karbohydrater). I Lean telles denne effekten i <a href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF<\/a>, 4. byggestein i TDEE = BMR + NEAT + EAT + TEF, beregnet p\u00e5 de faktisk loggede makroene dine, ikke p\u00e5 en fast sats.<\/p>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"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    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF de Lean : effet thermique des aliments calcul\u00e9 sur les macros r\u00e9els\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n  <\/div>\n  <div class=\"bodyscan-cap\" style=\"font-size:13px;color:#6E6E73;text-align:center;line-height:1.5\"><b style=\"display:block;color:#0E0E10;font-weight:600;margin-bottom:3px\">TEF, m\u00e5lt<\/b>I Lean telles den termiske effekten av proteinene dine fra de loggede makroene dine.<\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Siste \u00e6rlige poeng: presisjonen i intervallet ditt avhenger av presisjonen i fettprosenten din. Et avvik p\u00e5 5 poeng fettprosent flytter m\u00e5let ditt med et titalls gram, som forblir lite: la ikke jakten p\u00e5 det perfekte tallet forsinke den nyttige handlingen, en proteinkilde ved hvert m\u00e5ltid fra i dag.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  For f\u00f8rst \u00e5 m\u00e5le den fettfrie massen din: <a href=\"https:\/\/lean-app.com\/no\/calculateur-masse-grasse\/\">fettprosentkalkulator<\/a> (m\u00e5leb\u00e5nd, 2 minutter), og for det komplette forbruket, guiden <a href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">totalt energiforbruk<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">04 &middot; Tre tallfestede profiler<\/span>Samme kropper som fettprosentkalkulatoren<\/h2>\n<p>De tre profilene m\u00e5lt p\u00e5 v\u00e5r <a href=\"https:\/\/lean-app.com\/no\/calculateur-masse-grasse\/\">fettprosentkalkulator<\/a>, forlenget til proteinene deres. Tallene kommer fra kalkulatoren ovenfor, du kan gjenskape dem.<\/p>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>Hun deffer rent<\/h4>\n    <div class=\"meta\">Kvinne &middot; 31 \u00e5r &middot; 64&nbsp;kg &middot; fettprosent 27&nbsp;% &middot; m\u00e5l deff<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Fettfri masse<\/span><span class=\"v\">&asymp;&nbsp;46,7&nbsp;kg<\/span><\/div>\n      <div class=\"rw lean\"><span>M\u00e5lproteiner<\/span><span class=\"v\">&asymp;&nbsp;107-145 g\/d<\/span><\/div>\n      <div class=\"rw\"><span>Per m\u00e5ltid (&times;3)<\/span><span class=\"v\">&asymp;&nbsp;36-48 g<\/span><\/div>\n      <div class=\"rw\"><span>Generisk anbefaling 2 g\/kg<\/span><span class=\"v\">128 g<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Anbefalingen p\u00e5 totalvekt havner her innenfor intervallet hennes: konsistent, fettprosenten hennes er n\u00e6r gjennomsnittet. <b style=\"color:var(--pink)\">Beregningen bekrefter i stedet for \u00e5 gjette.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Den definerte idrettsut\u00f8veren i deff<\/h4>\n    <div class=\"meta\">Mann &middot; 29 \u00e5r &middot; 75&nbsp;kg &middot; fettprosent 12,5&nbsp;% &middot; m\u00e5l deff<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Fettfri masse<\/span><span class=\"v\">&asymp;&nbsp;65,6&nbsp;kg<\/span><\/div>\n      <div class=\"rw lean\"><span>M\u00e5lproteiner<\/span><span class=\"v\">&asymp;&nbsp;151-203 g\/d<\/span><\/div>\n      <div class=\"rw\"><span>Per m\u00e5ltid (&times;4)<\/span><span class=\"v\">&asymp;&nbsp;38-51 g<\/span><\/div>\n      <div class=\"rw\"><span>Generisk anbefaling 2 g\/kg<\/span><span class=\"v\">150 g<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Den generiske anbefalingen plasserer ham UNDER nedre del av intervallet sitt: i avansert deff er det muskel som forsvinner. <b style=\"color:var(--pink)\">N\u00f8yaktig profilen totalvekten svikter.<\/b><\/div>\n  <\/div>\n\n  <div class=\"profile-card\">\n    <h4>Han vedlikeholder etter dietten sin<\/h4>\n    <div class=\"meta\">Mann &middot; 42 \u00e5r &middot; 92&nbsp;kg &middot; fettprosent 26,5&nbsp;% &middot; m\u00e5l vedlikehold<\/div>\n    <div class=\"rows\">\n      <div class=\"rw\"><span>Fettfri masse<\/span><span class=\"v\">&asymp;&nbsp;67,6&nbsp;kg<\/span><\/div>\n      <div class=\"rw lean\"><span>M\u00e5lproteiner<\/span><span class=\"v\">&asymp;&nbsp;122-149 g\/d<\/span><\/div>\n      <div class=\"rw\"><span>Per m\u00e5ltid (&times;3)<\/span><span class=\"v\">&asymp;&nbsp;41-50 g<\/span><\/div>\n      <div class=\"rw\"><span>Generisk anbefaling 2 g\/kg<\/span><span class=\"v\">184 g<\/span><\/div>\n    <\/div>\n    <div class=\"delta\">Anbefalingen p\u00e5 vekt skyver ham 35&nbsp;g over \u00f8vre grense: ikke farlig, men proteinkalorier som vil mangle andre steder. <b style=\"color:var(--pink)\">Det un\u00f8dvendige overskuddet har en alternativkostnad.<\/b><\/div>\n  <\/div>\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">05 &middot; I praksis<\/span>N\u00e5 m\u00e5let ditt uten \u00e5 tilbringe livet p\u00e5 kj\u00f8kkenet<\/h2>\n\n<div class=\"body\">\n<p>Et m\u00e5l p\u00e5 150 eller 180&nbsp;g virker h\u00f8yt p\u00e5 avstand. Fornuftig fordelt f\u00e5r det plass i en normal dag:<\/p>\n<\/div>\n\n<div class=\"profile-grid\">\n  <div class=\"profile-card\">\n    <h4>1. \u00c9n kilde ved hvert m\u00e5ltid<\/h4>\n    <div class=\"meta\">Regelen som l\u00f8ser 80 % av problemet<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">30 til 50&nbsp;g per inntak over 3 til 5 m\u00e5ltider. Egg om morgenen, kj\u00f8tt eller fisk til lunsj, et proteinrikt meieriprodukt som mellomm\u00e5ltid, en kilde til middag: m\u00e5let n\u00e5s uten tilskudd.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>2. Frokosten, det svake leddet<\/h4>\n    <div class=\"meta\">Franskmennenes proteinfattigste m\u00e5ltid<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Br\u00f8dskiver-juice-kaffe = 5&nbsp;g protein. Bytt ut med egg, skyr, kesam eller havregryn + melk: +25 til 35&nbsp;g allerede om morgenen, og en metthet som endrer formiddagene dine.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>3. Whey: et verkt\u00f8y, ikke en plikt<\/h4>\n    <div class=\"meta\">Praktisk, ikke magisk<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">\u00c9n dose = ~25&nbsp;g protein for minimal kostnad og volum. Nyttig n\u00e5r timeplanen gj\u00f8r et ekte m\u00e5ltid umulig; un\u00f8dvendig hvis kostholdet ditt allerede dekker intervallet ditt.<\/p>\n  <\/div>\n  <div class=\"profile-card\">\n    <h4>4. Vegetarianer: mulig, med metode<\/h4>\n    <div class=\"meta\">St\u00f8rre volumer, kombinerte kilder<\/div>\n    <p style=\"margin:0;font-size:14px;line-height:1.55;color:var(--ink-2)\">Belgfrukter + korn, tofu og tempeh, meieriprodukter eller berikede alternativer: m\u00e5let er fortsatt oppn\u00e5elig ved \u00e5 kombinere kildene gjennom dagen, med litt mer gener\u00f8se porsjoner.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:220px\">\n  <div class=\"mini-phone\" style=\"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    <div class=\"notch\" style=\"position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5\"><\/div>\n    <div class=\"scr\" style=\"border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" alt=\"\u00c9cran Calories de Lean : macros compt\u00e9s automatiquement \u00e0 chaque aliment logg\u00e9\" width=\"200\" height=\"433\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:100%;object-fit:cover;display:block\"><\/div>\n  <\/div>\n  <div class=\"bodyscan-cap\" style=\"font-size:13px;color:#6E6E73;text-align:center;line-height:1.5\"><b style=\"display:block;color:#0E0E10;font-weight:600;margin-bottom:3px\">Grammene dine, telt<\/b>Base, strekkode eller AI-foto: hver logget matvare fyller proteintelleren din.<\/div>\n<\/div>\n\n<div class=\"micro-cta\">\n  En nyttig p\u00e5minnelse fra v\u00e5r <a href=\"https:\/\/lean-app.com\/no\/etude-base-donnees-calories\/\">studie av databasene<\/a> : proteinbarer er den mest feilaktige kategorien i OpenFoodFacts (mer enn \u00e9n av fem oppf\u00f8ringer inkonsistent). Sjekk makroene etter en skanning.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">06 &middot; Myte vs virkelighet<\/span>Nyrer i fare, magisk tak: det vitenskapen sier<\/h2>\n\n<div class=\"key-grid\">\n  <div class=\"key-card\"><div class=\"kv\">28<span>fors\u00f8k<\/span><\/div><div class=\"kl\">i Devries-metaanalysen (2018): nyrefunksjonen hos friske voksne skiller seg ikke mellom h\u00f8yt og lavt inntak<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">1,62<span>g\/kg<\/span><\/div><div class=\"kl\">vendepunktet hos Morton 2018: utover det blir den ekstra muskelgevinsten umerkelig<\/div><\/div>\n  <div class=\"key-card\"><div class=\"kv\">20-30<span>%<\/span><\/div><div class=\"kl\">av proteinenes kalorier forbrennes bare ved ford\u00f8yelsen: den mest mettende makroen OG den dyreste \u00e5 lagre<\/div><\/div>\n<\/div>\n\n<div class=\"mvr\">\n  <div class=\"mv myth\">\n    <div class=\"tag\">Myten<\/div>\n    <h4>\u00abFor mye protein skader nyrene\u00bb<\/h4>\n    <p>Ideen kommer fra et reelt medisinsk tema: ved eksisterende nyresykdom begrenser man proteinene. Overf\u00f8rt til friske personer holder den ikke: Devries-metaanalysen (2018, 28 kontrollerte fors\u00f8k) finner <b>ingen forskjell i nyrefunksjon<\/b> mellom protein-rike og protein-fattige dietter hos friske voksne. Forbeholdet best\u00e5r: nyresykdom = medisinske r\u00e5d f\u00f8r enhver endring.<\/p>\n  <\/div>\n  <div class=\"mv real\">\n    <div class=\"tag\">Den m\u00e5lte virkeligheten<\/div>\n    <h4>Det reelle taket er nyttens, ikke farens<\/h4>\n    <p>Taket som teller ligger et annet sted: utover intervallet ditt bygger ekstra proteiner rett og slett <b>ikke noe m\u00e5lbart lenger<\/b> (vendepunkt ved 1,62&nbsp;g\/kg hos Morton 2018). De er ikke farlige, de er un\u00f8dvendige: kalorier som vil mangle til treningskarbohydratene dine eller til gleden ved \u00e5 spise.<\/p>\n    <p>Det reelle sp\u00f8rsm\u00e5let er alts\u00e5 ikke \u00abkan jeg spise mer?\u00bb men \u00abn\u00e5r jeg intervallet mitt hver dag, helger inkludert?\u00bb. Det er regelmessigheten som bygger, ikke toppene.<\/p>\n  <\/div>\n<\/div>\n\n<div class=\"body\">\n<p>Den praktiske konsekvensen: fastsett intervallet ditt p\u00e5 den fettfrie massen din, n\u00e5 det hver dag med ekte mat, og bruk oppmerksomheten din p\u00e5 det som virkelig gj\u00f8r fremgang: treningen og regelmessigheten din. Loggingen tjener n\u00f8yaktig til det: se med ett blikk om regnskapet g\u00e5r opp.<\/p>\n<\/div>\n\n<div class=\"micro-cta\">\n  For \u00e5 plassere proteinene dine i det komplette forbruket ditt: <a href=\"https:\/\/lean-app.com\/no\/calculateur-tdee\/\">calculateur TDEE<\/a> og guiden <a href=\"https:\/\/lean-app.com\/no\/calculer-vraie-depense-calorique\/\">beregne det reelle kaloriforbruket ditt<\/a>.\n<\/div>\n\n<h2 class=\"sect\"><span class=\"num\">07 &middot; FAQ<\/span>Alt du lurer p\u00e5 om proteiner<\/h2>\n<details class=\"faq\"><summary>Hvor mye protein per dag for \u00e5 bygge muskel&nbsp;?<\/summary><div class=\"faq-body\"><p>Referansemetaanalysen (Morton 2018, 49 studier) plasserer det nyttige taket rundt 1,6 g per kilo kroppsvekt, med en \u00f8vre grense p\u00e5 2,2 for \u00e5 dekke de mest krevende responderne. Utover det, ingen m\u00e5lbar ekstra gevinst. P\u00e5 fettfri masse gir intervallet i denne kalkulatoren ekvivalenten tilpasset sammensetningen din: det er kalorioverskuddet og progresjonen i treningen som gj\u00f8r resten.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvor mye protein per dag i deff&nbsp;?<\/summary><div class=\"faq-body\"><p>Mer enn p\u00e5 vedlikehold: 2,3 til 3,1 g per kilo fettfri masse (Helms 2014), desto h\u00f8yere jo mer aggressivt underskuddet ditt er og jo mer definert du allerede er. I underskudd er proteinene signalet som forteller kroppen din \u00e5 beholde muskelen og t\u00e6re p\u00e5 fettet: Longland-studien (2016) viste et tap p\u00e5 4,8 kg fett med en \u00d8KNING p\u00e5 1,1 kg muskel p\u00e5 4 uker hos fors\u00f8kspersoner med h\u00f8yt protein + styrketrening.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Hvorfor beregne p\u00e5 fettfri masse og ikke totalvekt&nbsp;?<\/summary><div class=\"faq-body\"><p>Fordi proteiner n\u00e6rer de aktive vevene, ikke fettmassen. En anbefaling p\u00e5 totalvekt underdoserer definerte og muskul\u00f8se profiler, og overdoserer profiler med h\u00f8y fettprosent. To personer p\u00e5 90 kg kan ha 16 kg fettfri masse i forskjell: \u00e5 gi dem samme m\u00e5l gir ingen mening. Du trenger alts\u00e5 fettprosenten din: m\u00e5l den med m\u00e5leb\u00e5nd eller BodyScan, s\u00e5 blir beregningen triviell.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Er for mye protein farlig for nyrene&nbsp;?<\/summary><div class=\"faq-body\"><p>Hos friske voksne, nei: Devries-metaanalysen (2018, 28 kontrollerte fors\u00f8k) finner ingen forskjell i nyrefunksjon mellom h\u00f8yt og lavt inntak. Proteinrestriksjon gjelder personer med eksisterende nyresykdom: i s\u00e5 fall er medisinske r\u00e5d obligatorisk f\u00f8r enhver kostholdsendring.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Trenger man protein rett etter treningen&nbsp;?<\/summary><div class=\"faq-body\"><p>Det \u00abanabole vinduet\u00bb p\u00e5 30 minutter er sterkt overvurdert: det som teller er den daglige totalen din og en rimelig fordeling over 3 til 5 inntak. Er det flere timer siden siste m\u00e5ltid, er et inntak rundt treningen relevant; ellers gj\u00f8r det neste m\u00e5ltidet ditt jobben utmerket.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Whey eller ekte mat&nbsp;?<\/summary><div class=\"faq-body\"><p>Ern\u00e6ringsmessig er et protein et protein: whey har ingenting magisk, den er bare praktisk og kalorifattig for innholdet sitt. Ekte mat gir i tillegg metthet, mikron\u00e6ringsstoffer og glede. Den gode regelen: dekk det viktigste med ekte mat, behold whey til \u00f8yeblikkene der et m\u00e5ltid ikke er mulig.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Kan man bygge muskel og miste fett samtidig&nbsp;?<\/summary><div class=\"faq-body\"><p>Ja, under visse forhold: nybegynnere, retur etter en pause, eller underskudd + h\u00f8yt protein + seri\u00f8s styrketrening (Longland 2016). Det er kroppsrekomposisjon. Den styres nettopp ved \u00e5 f\u00f8lge fettprosenten og den fettfrie massen din fremfor bare vekten: vekten kan stagnere mens sammensetningen din endres fullstendig.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Gj\u00f8r proteiner deg slankere&nbsp;?<\/summary><div class=\"faq-body\"><p>Indirekte hjelper de mye: de er de mest mettende makroene, og 20 til 30 % av kaloriene deres g\u00e5r til sin egen ford\u00f8yelse (termisk effekt). Ved like kalorier gj\u00f8r et proteinrikere kosthold underskuddet mer holdbart og beskytter muskelen. Men kaloriunderskuddet forblir motoren: proteinene er andrepiloten.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Trenger kvinner mindre protein&nbsp;?<\/summary><div class=\"faq-body\"><p>Per kilo fettfri masse er behovene sammenlignbare: forskjellen i totale gram kommer ganske enkelt av en lavere gjennomsnittlig fettfri masse. Intervallene i denne kalkulatoren gjelder begge kj\u00f8nn; det er kroppssammensetningen din som personliggj\u00f8r tallet, ikke kj\u00f8nnet ditt i seg selv.<\/p><\/div><\/details>\n<details class=\"faq\"><summary>Gir denne kalkulatoren en eksakt forskrift&nbsp;?<\/summary><div class=\"faq-body\"><p>Nei: et m\u00e5lintervall basert p\u00e5 publisert konsensus, personliggjort etter den fettfrie massen og m\u00e5let ditt. Presisjonen avhenger av fettprosenten din, og det individuelle optimumet varierer med trening, s\u00f8vn og underskudd. Sikt mot intervallet ditt med regelmessighet, juster etter resultatene dine over 4 til 6 uker, og ved sykdom, spesielt nyresykdom, s\u00f8k medisinske r\u00e5d.<\/p><\/div><\/details>\n\n<div class=\"sources\">\n  <h4>Vitenskapelige kilder<\/h4>\n  <ol>\n    <li>Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength. Br J Sports Med. 2018;52(6):376-384. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/28698222\/\" target=\"_blank\" rel=\"noopener\">PubMed 28698222<\/a>.<\/li>\n    <li>Helms ER, Aragon AA, Fitschen PJ. Evidence-based recommendations for natural bodybuilding contest preparation: nutrition and supplementation. J Int Soc Sports Nutr. 2014;11:20. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24864135\/\" target=\"_blank\" rel=\"noopener\">PubMed 24864135<\/a>.<\/li>\n    <li>Phillips SM, Van Loon LJ. Dietary protein for athletes: from requirements to optimum adaptation. J Sports Sci. 2011;29 Suppl 1:S29-38. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/22150425\/\" target=\"_blank\" rel=\"noopener\">PubMed 22150425<\/a>.<\/li>\n    <li>Longland TM, Oikawa SY, Mitchell CJ, et al. Higher compared with lower dietary protein during an energy deficit combined with intense exercise promotes greater lean mass gain and fat mass loss. Am J Clin Nutr. 2016;103(3):738-46. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26817506\/\" target=\"_blank\" rel=\"noopener\">PubMed 26817506<\/a>.<\/li>\n    <li>Devries MC, Sithamparapillai A, Brimble KS, et al. Changes in Kidney Function Do Not Differ between Healthy Adults Consuming Higher- Compared with Lower- or Normal-Protein Diets. J Nutr. 2018;148(11):1760-1775. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30383278\/\" target=\"_blank\" rel=\"noopener\">PubMed 30383278<\/a>.<\/li>\n  <\/ol>\n<\/div>\n\n<div class=\"get-band\">\n  <h3>Proteinene dine, telt uten anstrengelse<\/h3>\n  <p>Hver logget matvare (base, strekkode, AI-foto) fyller proteintelleren din, og m\u00e5let ditt bygger p\u00e5 den fettfrie massen din m\u00e5lt med BodyScan. Regelmessigheten blir synlig, dag etter dag. Gratis nedlasting, 7&nbsp;dagers pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet.<\/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=calc-proteines\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'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=calc-proteines\" 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<\/main>\n<\/div>\n\n<script data-wpmeteor-nooptimize=\"true\" type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Article\",\n      \"@id\": \"https:\/\/lean-app.com\/calculateur-proteines\/#article\",\n      \"headline\": \"Calculateur de prot\u00e9ines : combien de grammes par jour, calcul\u00e9 sur ta masse maigre\",\n      \"description\": \"Calcule tes besoins en prot\u00e9ines en grammes par jour sur ta masse maigre selon ton objectif (s\u00e8che, maintien, prise de muscle). 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Mesure-le au ruban avec notre calculateur de masse grasse, ou en photo avec le BodyScan.\": {\"de\": \"\u00dcbliche Bereiche f\u00fcr Frauen: 18 bis 32 %. Miss es per Ma\u00dfband mit unserem K\u00f6rperfett-Rechner oder per Foto mit dem BodyScan.\", \"es\": \"Rangos habituales para una mujer: 18 a 32 %. M\u00eddelo con cinta con nuestra calculadora de grasa corporal, o con foto con el BodyScan.\", \"pt\": \"Faixas habituais para uma mulher: 18 a 32 %. Me\u00e7a com fita com nossa calculadora de gordura corporal, ou com foto com o BodyScan.\"}, \"Fourchettes usuelles pour un homme : 10 \u00e0 25\u202f%. Mesure-le au ruban avec notre calculateur de masse grasse, ou en photo avec le BodyScan.\": {\"de\": \"\u00dcbliche Bereiche f\u00fcr M\u00e4nner: 10 bis 25 %. Miss es per Ma\u00dfband mit unserem K\u00f6rperfett-Rechner oder per Foto mit dem BodyScan.\", \"es\": \"Rangos habituales para un hombre: 10 a 25 %. M\u00eddelo con cinta con nuestra calculadora de grasa corporal, o con foto con el BodyScan.\", \"pt\": \"Faixas habituais para um homem: 10 a 25 %. Me\u00e7a com fita com nossa calculadora de gordura corporal, ou com foto com o BodyScan.\"}, \"En s\u00e8che, les prot\u00e9ines prot\u00e8gent ton muscle pendant le d\u00e9ficit : c\u2019est l\u00e0 que la fourchette est la plus haute.\": {\"de\": \"In der Di\u00e4t sch\u00fctzt Protein deine Muskeln w\u00e4hrend des Defizits: Hier ist der Bereich am h\u00f6chsten.\", \"es\": \"En definici\u00f3n, las prote\u00ednas protegen tu m\u00fasculo durante el d\u00e9ficit: ah\u00ed es donde el rango es m\u00e1s alto.\", \"pt\": \"No cutting, as prote\u00ednas protegem seu m\u00fasculo durante o d\u00e9ficit: \u00e9 a\u00ed que a faixa \u00e9 mais alta.\"}, \"En maintien, la fourchette assure la r\u00e9cup\u00e9ration et la sati\u00e9t\u00e9 sans exc\u00e8s inutile.\": {\"de\": \"Im Erhalt sichert der Bereich Regeneration und S\u00e4ttigung ohne nutzlosen \u00dcberschuss.\", \"es\": \"En mantenimiento, el rango asegura la recuperaci\u00f3n y la saciedad sin exceso in\u00fatil.\", \"pt\": \"Na manuten\u00e7\u00e3o, a faixa garante a recupera\u00e7\u00e3o e a saciedade sem excesso in\u00fatil.\"}, \"En prise de muscle, au-del\u00e0 de la fourchette, le surplus de prot\u00e9ines n\u2019acc\u00e9l\u00e8re rien : ce sont les kcal et l\u2019entra\u00eenement qui font le reste.\": {\"de\": \"Im Muskelaufbau beschleunigt Protein jenseits des Bereichs nichts: Die kcal und das Training machen den Rest.\", \"es\": \"En ganancia muscular, m\u00e1s all\u00e1 del rango, el excedente de prote\u00edna no acelera nada: son las kcal y el entrenamiento los que hacen el resto.\", \"pt\": \"No ganho muscular, al\u00e9m da faixa, o excedente de prote\u00edna n\u00e3o acelera nada: s\u00e3o as kcal e o treino que fazem o resto.\"}, \"Objectif s\u00e8che\": {\"de\": \"Ziel Di\u00e4t\", \"es\": \"Objetivo definici\u00f3n\", \"pt\": \"Objetivo cutting\"}, \"Objectif maintien\": {\"de\": \"Ziel Erhalt\", \"es\": \"Objetivo mantenimiento\", \"pt\": \"Objetivo manuten\u00e7\u00e3o\"}, \"Objectif prise de muscle\": {\"de\": \"Ziel Muskelaufbau\", \"es\": \"Objetivo ganancia muscular\", \"pt\": \"Objetivo ganho muscular\"}, \"En s\u00e8che : les prot\u00e9ines sont ton assurance muscle\": {\"de\": \"In der Di\u00e4t: Protein ist deine Muskel-Versicherung\", \"es\": \"En definici\u00f3n: las prote\u00ednas son tu seguro de m\u00fasculo\", \"pt\": \"No cutting: as prote\u00ednas s\u00e3o seu seguro de m\u00fasculo\"}, \"Plus ton d\u00e9ficit est grand et plus tu es sec, plus tu montes dans la fourchette. L\u2019\u00e9tude de Longland (2016) l\u2019a montr\u00e9 : d\u00e9ficit + prot\u00e9ines hautes + entra\u00eenement de force = perte de gras AVEC gain de muscle. R\u00e9partis tes prises sur la journ\u00e9e et garde l\u2019entra\u00eenement lourd : c\u2019est le signal qui dit \u00e0 ton corps de garder le muscle.\": {\"de\": \"Je gr\u00f6\u00dfer dein Defizit und je schlanker du bist, desto h\u00f6her gehst du im Bereich. Die Longland-Studie (2016) hat es gezeigt: Defizit + viel Protein + Krafttraining = Fettverlust MIT Muskelaufbau. Verteile deine Portionen \u00fcber den Tag und trainiere weiter schwer: Das ist das Signal, das deinem K\u00f6rper sagt, den Muskel zu behalten.\", \"es\": \"Cuanto mayor es tu d\u00e9ficit y m\u00e1s definido est\u00e1s, m\u00e1s subes en el rango. El estudio de Longland (2016) lo mostr\u00f3: d\u00e9ficit + prote\u00ednas altas + fuerza = p\u00e9rdida de grasa CON ganancia de m\u00fasculo. Reparte tus tomas a lo largo del d\u00eda y mant\u00e9n el entrenamiento pesado: es la se\u00f1al que le dice a tu cuerpo que conserve el m\u00fasculo.\", \"pt\": \"Quanto maior seu d\u00e9ficit e mais definido voc\u00ea est\u00e1, mais voc\u00ea sobe na faixa. O estudo de Longland (2016) mostrou: d\u00e9ficit + prote\u00ednas altas + muscula\u00e7\u00e3o = perda de gordura COM ganho de m\u00fasculo. Distribua suas por\u00e7\u00f5es ao longo do dia e mantenha o treino pesado: \u00e9 o sinal que diz ao seu corpo para manter o m\u00fasculo.\"}, \"En maintien : la r\u00e9gularit\u00e9 avant tout\": {\"de\": \"Im Erhalt: Konstanz vor allem\", \"es\": \"En mantenimiento: la regularidad ante todo\", \"pt\": \"Na manuten\u00e7\u00e3o: a regularidade acima de tudo\"}, \"Ta fourchette est confortable : atteins-la un jour normal sans te forcer, avec une source de prot\u00e9ines \u00e0 chaque repas. Le pi\u00e8ge classique est le week-end, o\u00f9 l\u2019apport chute de 30 \u00e0 40\u202f% sans qu\u2019on s\u2019en rende compte. Un tracking l\u00e9ger suffit \u00e0 le voir.\": {\"de\": \"Dein Bereich ist komfortabel: Erreiche ihn an einem normalen Tag ohne Zwang, mit einer Proteinquelle zu jeder Mahlzeit. Die klassische Falle ist das Wochenende, an dem die Zufuhr unbemerkt um 30 bis 40 % einbricht. Leichtes Tracking gen\u00fcgt, um es zu sehen.\", \"es\": \"Tu rango es c\u00f3modo: alc\u00e1nzalo un d\u00eda normal sin forzarte, con una fuente de prote\u00edna en cada comida. La trampa cl\u00e1sica es el fin de semana, donde la ingesta cae un 30 a 40 % sin darse cuenta. Un tracking ligero basta para verlo.\", \"pt\": \"Sua faixa \u00e9 confort\u00e1vel: alcance-a num dia normal sem se for\u00e7ar, com uma fonte de prote\u00edna em cada refei\u00e7\u00e3o. A armadilha cl\u00e1ssica \u00e9 o fim de semana, quando a ingest\u00e3o cai 30 a 40 % sem perceber. Um tracking leve basta para ver.\"}, \"En prise : les prot\u00e9ines ne sont pas le levier n\u00b01\": {\"de\": \"Im Aufbau: Protein ist nicht Hebel Nr. 1\", \"es\": \"En volumen: las prote\u00ednas no son la palanca n.\u00ba 1\", \"pt\": \"No bulking: as prote\u00ednas n\u00e3o s\u00e3o a alavanca n\u00ba 1\"}, \"Au-del\u00e0 de ta fourchette, les prot\u00e9ines suppl\u00e9mentaires ne construisent pas plus de muscle (Morton 2018) : c\u2019est ton surplus calorique ma\u00eetris\u00e9 et ta progression \u00e0 l\u2019entra\u00eenement qui pilotent. Mets l\u2019\u00e9nergie \u00e9conomis\u00e9e dans les glucides autour des s\u00e9ances.\": {\"de\": \"Jenseits deines Bereichs baut zus\u00e4tzliches Protein nicht mehr Muskel auf (Morton 2018): Dein kontrollierter Kalorien\u00fcberschuss und deine Trainingsprogression steuern. Steck die gesparte Energie in Kohlenhydrate rund um die Einheiten.\", \"es\": \"M\u00e1s all\u00e1 de tu rango, las prote\u00ednas extra no construyen m\u00e1s m\u00fasculo (Morton 2018): son tu excedente cal\u00f3rico controlado y tu progresi\u00f3n en el entrenamiento los que mandan. Pon la energ\u00eda ahorrada en los carbohidratos alrededor de las sesiones.\", \"pt\": \"Al\u00e9m da sua faixa, as prote\u00ednas extras n\u00e3o constroem mais m\u00fasculo (Morton 2018): s\u00e3o seu excedente cal\u00f3rico controlado e sua progress\u00e3o no treino que mandam. Coloque a energia economizada nos carboidratos em torno dos treinos.\"}, \" Apr\u00e8s 50 ans, vise plut\u00f4t le haut de ta fourchette : la r\u00e9sistance anabolique augmente les besoins par prise.\": {\"de\": \" Ab 50 ziele eher auf das obere Ende deines Bereichs: Anabole Resistenz erh\u00f6ht den Bedarf pro Mahlzeit.\", \"es\": \" A partir de los 50, apunta m\u00e1s bien a la parte alta de tu rango: la resistencia anab\u00f3lica aumenta las necesidades por toma.\", \"pt\": \" Depois dos 50, mire mais no topo da sua faixa: a resist\u00eancia anab\u00f3lica aumenta as necessidades por refei\u00e7\u00e3o.\"}};<\/script>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/\/ ============================================================\n  \/\/ Calcul des besoins en proteines : ESTIMATION PEDAGOGIQUE.\n  \/\/ Fourchettes publiees : Morton 2018 (PubMed 28698222, plafond ~1.6-2.2 g\/kg),\n  \/\/ Helms 2014 (24864135, seche : 2.3-3.1 g\/kg de masse maigre),\n  \/\/ Phillips 2011 (22150425), Longland 2016 (26817506).\n  \/\/ ============================================================\n  var LEAN_L = (location.pathname.match(\/^\\\/(en|es|pt|de)\\\/\/) || [0,'fr'])[1];\n  var LEAN_LANG = LEAN_L === 'en' ? 'en' : 'fr';\n  function T(fr,en){\n    if (LEAN_L === 'en') return en;\n    if (LEAN_L === 'fr') return fr;\n    var m = window.__LEAN_T && window.__LEAN_T[fr];\n    return (m && m[LEAN_L]) || fr;\n  }\n  function byId(id){ return document.getElementById(id); }\n  function getSex(){\n    var r = document.querySelector('input[name=sex]:checked');\n    return r ? r.value : 'M';\n  }\n  function fmt(n){ return LEAN_LANG==='en' ? Math.round(n).toLocaleString('en-US') : Math.round(n).toLocaleString('fr-FR'); }\n  function fmt3(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:3, maximumFractionDigits:3}); }\n  function fmt1(n){ return n.toLocaleString(LEAN_LANG==='en'?'en-US':'fr-FR', {minimumFractionDigits:1, maximumFractionDigits:1}); }\n  function clamp(v, lo, hi){ return Math.max(lo, Math.min(hi, v)); }\n  function compute(){\n    var sex = getSex();\n    var age = parseFloat(byId('cAge').value) || 0;\n    var w = parseFloat(byId('cWeight').value) || 0;\n    var bf = parseFloat(byId('cBodyfat').value) || 0;\n    var goalEl = document.querySelector('input[name=goal]:checked');\n    var goal = goalEl ? goalEl.value : 'cut';\n    byId('bfVal').innerHTML = String(bf).replace('.', ',') + '\\u202F%';\n    byId('bfHint').textContent = (sex === 'F')\n      ? T('Fourchettes usuelles pour une femme : 18 \u00e0 32\\u202F%. Mesure-le au ruban avec notre calculateur de masse grasse, ou en photo avec le BodyScan.','Typical ranges for a woman: 18 to 32%. Measure it with our body fat calculator (tape) or the BodyScan photo.')\n      : T('Fourchettes usuelles pour un homme : 10 \u00e0 25\\u202F%. Mesure-le au ruban avec notre calculateur de masse grasse, ou en photo avec le BodyScan.','Typical ranges for a man: 10 to 25%. Measure it with our body fat calculator (tape) or the BodyScan photo.');\n    byId('goalHint').textContent = (goal === 'cut')\n      ? T('En s\u00e8che, les prot\u00e9ines prot\u00e8gent ton muscle pendant le d\u00e9ficit : c\\u2019est l\u00e0 que la fourchette est la plus haute.','In a cut, protein protects your muscle during the deficit: that is where the range is highest.')\n      : (goal === 'maintain'\n        ? T('En maintien, la fourchette assure la r\u00e9cup\u00e9ration et la sati\u00e9t\u00e9 sans exc\u00e8s inutile.','At maintenance, the range covers recovery and satiety without pointless excess.')\n        : T('En prise de muscle, au-del\u00e0 de la fourchette, le surplus de prot\u00e9ines n\\u2019acc\u00e9l\u00e8re rien : ce sont les kcal et l\\u2019entra\u00eenement qui font le reste.','When building muscle, going beyond the range speeds up nothing: calories and training do the rest.'));\n    if (!w) return;\n    var ffm = w * (1 - bf \/ 100);\n    var lo_k, hi_k, pill;\n    if (goal === 'cut') { lo_k = 2.3; hi_k = 3.1; pill = T('Objectif s\u00e8che','Cutting target'); }\n    else if (goal === 'maintain') { lo_k = 1.8; hi_k = 2.2; pill = T('Objectif maintien','Maintenance target'); }\n    else { lo_k = 1.6; hi_k = 2.2; pill = T('Objectif prise de muscle','Muscle gain target'); }\n    var lo = Math.round(ffm * lo_k);\n    var hi = Math.round(ffm * hi_k);\n    var mid = Math.round((lo + hi) \/ 2);\n    var meals = (mid >= 160) ? 4 : 3;\n    byId('rProt').textContent = lo + '-' + hi;\n    byId('protBar').style.width = clamp(mid \/ 260 * 100, 8, 100) + '%';\n    var p = byId('protPill');\n    p.className = 'neat-pill ok';\n    p.textContent = pill;\n    byId('rMeal').textContent = Math.round(lo \/ meals) + '-' + Math.round(hi \/ meals);\n    byId('rMealN').textContent = meals;\n    var mealUnit = byId('rMeal').nextElementSibling;\n    if (mealUnit) mealUnit.textContent = 'g \\u00D7 ' + meals;\n    byId('rFfm').textContent = fmt1(ffm);\n    byId('rMid').textContent = mid;\n    byId('shareBar').style.width = clamp(ffm \/ w * 100, 8, 100) + '%';\n    byId('eqPoulet').textContent = fmt(Math.round(mid \/ 0.31 \/ 10) * 10);\n    byId('eqOeufs').textContent = Math.round(mid \/ 6.5);\n    byId('eqSkyr').textContent = (mid \/ 100).toFixed(1).replace('.', ',');\n    var totalReco = Math.round(w * 2);\n    byId('dTotal').textContent = totalReco;\n    byId('dGap').textContent = Math.abs(totalReco - mid);\n    var title = byId('recoTitle');\n    var body = byId('recoBody');\n    if (goal === 'cut') {\n      title.textContent = T('En s\u00e8che : les prot\u00e9ines sont ton assurance muscle','In a cut: protein is your muscle insurance');\n      body.textContent = T('Plus ton d\u00e9ficit est grand et plus tu es sec, plus tu montes dans la fourchette. L\\u2019\u00e9tude de Longland (2016) l\\u2019a montr\u00e9 : d\u00e9ficit + prot\u00e9ines hautes + entra\u00eenement de force = perte de gras AVEC gain de muscle. R\u00e9partis tes prises sur la journ\u00e9e et garde l\\u2019entra\u00eenement lourd : c\\u2019est le signal qui dit \u00e0 ton corps de garder le muscle.','The bigger your deficit and the leaner you are, the higher you sit in the range. Longland (2016) showed it: deficit + high protein + strength training = fat loss WITH muscle gain. Spread your intake through the day and keep training heavy: that is the signal telling your body to keep the muscle.');\n    } else if (goal === 'maintain') {\n      title.textContent = T('En maintien : la r\u00e9gularit\u00e9 avant tout','At maintenance: consistency first');\n      body.textContent = T('Ta fourchette est confortable : atteins-la un jour normal sans te forcer, avec une source de prot\u00e9ines \u00e0 chaque repas. Le pi\u00e8ge classique est le week-end, o\u00f9 l\\u2019apport chute de 30 \u00e0 40\\u202F% sans qu\\u2019on s\\u2019en rende compte. Un tracking l\u00e9ger suffit \u00e0 le voir.','Your range is comfortable: hit it on a normal day without forcing, with a protein source at every meal. The classic trap is the weekend, when intake silently drops 30 to 40%. Light tracking is enough to catch it.');\n    } else {\n      title.textContent = T('En prise : les prot\u00e9ines ne sont pas le levier n\u00b01','When bulking: protein is not lever number one');\n      body.textContent = T('Au-del\u00e0 de ta fourchette, les prot\u00e9ines suppl\u00e9mentaires ne construisent pas plus de muscle (Morton 2018) : c\\u2019est ton surplus calorique ma\u00eetris\u00e9 et ta progression \u00e0 l\\u2019entra\u00eenement qui pilotent. Mets l\\u2019\u00e9nergie \u00e9conomis\u00e9e dans les glucides autour des s\u00e9ances.','Beyond your range, extra protein builds no extra muscle (Morton 2018): your controlled calorie surplus and training progression drive results. Put the spare energy into carbs around your sessions.');\n    }\n    if (age >= 50) {\n      body.textContent = body.textContent + T(' Apr\u00e8s 50 ans, vise plut\u00f4t le haut de ta fourchette : la r\u00e9sistance anabolique augmente les besoins par prise.',' After 50, aim for the top of your range: anabolic resistance raises per-meal needs.');\n    }\n  }\n  ['cAge','cWeight','cBodyfat'].forEach(function(id){\n    var el = byId(id);\n    if (el) { el.addEventListener('input', compute); el.addEventListener('change', compute); }\n  });\n  document.querySelectorAll('input[name=sex], input[name=goal]').forEach(function(el){ el.addEventListener('change', compute); });\n  compute();\n  \/\/ ---- popup BodyScan (aide bodyfat), zero lib externe ----\n  var modal = byId('bfModal');\n  function bfOpen(){ modal.classList.add('open'); document.body.style.overflow = 'hidden'; }\n  function bfShut(){ modal.classList.remove('open'); document.body.style.overflow = ''; }\n  if (modal) {\n    byId('bfHelp').addEventListener('click', bfOpen);\n    byId('bfClose').addEventListener('click', bfShut);\n    byId('bfOvl').addEventListener('click', bfShut);\n    document.addEventListener('keydown', function(e){ if (e.key === 'Escape') bfShut(); });\n  }\n})();\n<\/script>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n})();\n<\/script>\n\n<!-- lean-mesh-draft -->\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;\">\n<p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Les ogs\u00e5<\/p>\n<ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\">\n<li><a href=\"https:\/\/lean-app.com\/no\/calculateur-masse-grasse\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Fettprosentkalkulator (US Navy-metoden) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Trinnet f\u00f8r: m\u00e5l fettprosenten din med m\u00e5leb\u00e5nd for \u00e5 kjenne den fettfrie massen din.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/calcul-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;\">Beregning av basalmetabolisme: den mest presise formelen <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor BMR-en din beregnes p\u00e5 den fettfrie massen din, ikke p\u00e5 vekten din.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Komplett TDEE-kalkulator: BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Oppdelingen av forbruket ditt, byggestein for byggestein, p\u00e5 den reelle fettprosenten din.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/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;\">Slik beregner du det reelle kaloriforbruket ditt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Den komplette guiden, fra BMR til metabolsk tilpasning, med markedets feller.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/calculateur-adaptation-metabolique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Kalkulator for metabolsk tilpasning <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Har BMR-en din bremset, og hvor mye: koeffisient 100 til 0 %.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/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;\">Totalt energiforbruk: den komplette guiden <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Alt som utgj\u00f8r dine kcal\/dag, fra BMR til matens termiske effekt.<\/span><\/a><\/li>\n<\/ul>\n<\/aside>","protected":false},"excerpt":{"rendered":"<p>Beregn proteinbehovet ditt i gram per dag p\u00e5 fettfri masse, ikke totalvekt: deff, vedlikehold eller muskelvekst. Anbefalinger med kilder.<\/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":[13],"tags":[],"class_list":["post-1958","post","type-post","status-publish","format-standard","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Calculateur de prot\u00e9ines : tes grammes par jour, sur ta masse maigre - Lean<\/title>\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\/no\/calculateur-proteines\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Calculateur de prot\u00e9ines : tes grammes par jour, sur ta masse maigre - Lean\" \/>\n<meta property=\"og:description\" content=\"Beregn proteinbehovet ditt i gram per dag p\u00e5 fettfri masse, ikke totalvekt: deff, vedlikehold eller muskelvekst. 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