Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized controlled trial protocol.

preprint OA: closed
Full text JSON View at publisher

Abstract

Background: Red meats such as lean beef can be an important source of dietary protein, however, high-quality evidence on its role in stimulating the muscle protein synthetic response and potentially augmenting adaptations to resistance exercise (RTEX) is scarce. Methods A 12-week, 3-arm parallel, single-blinded, randomized controlled trial (RCT) will be conducted to assess the impact of combined lean beef ingestion and RTEX on chronic RTEX adaptations. Seventy-two male and female, non-resistance trained, healthy adults aged 18–35 years will be recruited based on a power calculation which includes an anticipated dropout rate of 20%. All participants will engage in a standardized whole-body RTEX training program 3 days per week and will ingest either i) 30 g protein from beef rump steak, ii) 30 g protein from whey powder, or iii) an isoenergetic maltodextrin control after each session. Leg extension and flexion isokinetic strength, lean tissue accretion and fat mass changes will be the primary outcomes assessed before and after the 12-week intervention. Secondary outcomes assessed will include micronutrient status, countermovement jump height, blood pressure, satiety, feasibility and sensory acceptability of the interventions. Within and between group temporal differences will be analysed using SPSS. Dissemination The study’s findings will be published in peer reviewed journals and disseminated through presentations at academic conferences, social media and public forums.
Full text 113,469 characters · extracted from preprint-html · click to expand
Effects of lean beef on resistance... | HRB Open Research dataLayer = dataLayer || []; // Standard GTM initialization - Google Consent Mode handles consent automatically (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl+ '>m_auth=hzk0Vc3qFsQYhCrIoHz68A>m_preview=env-1>m_cookies_win=x';f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-MWFK8L5J'); ;window.NREUM||(NREUM={});NREUM.init={distributed_tracing:{enabled:true},privacy:{cookies_enabled:true},ajax:{deny_list:["bam.nr-data.net"]}}; ;NREUM.loader_config={accountID:"438030",trustKey:"438030",agentID:"772317073",licenseKey:"97f8f67f26",applicationID:"772317073"} ;NREUM.info={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net",licenseKey:"97f8f67f26",applicationID:"772317073",sa:1} ;/*! For license information please see nr-loader-spa-1.236.0.min.js.LICENSE.txt */ (()=>{"use strict";var e,t,r={5763:(e,t,r)=>{r.d(t,{P_:()=>l,Mt:()=>g,C5:()=>s,DL:()=>v,OP:()=>T,lF:()=>D,Yu:()=>y,Dg:()=>h,CX:()=>c,GE:()=>b,sU:()=>_});var n=r(8632),i=r(9567);const o={beacon:n.ce.beacon,errorBeacon:n.ce.errorBeacon,licenseKey:void 0,applicationID:void 0,sa:void 0,queueTime:void 0,applicationTime:void 0,ttGuid:void 0,user:void 0,account:void 0,product:void 0,extra:void 0,jsAttributes:{},userAttributes:void 0,atts:void 0,transactionName:void 0,tNamePlain:void 0},a={};function s(e){if(!e)throw new Error("All info objects require an agent identifier!");if(!a[e])throw new Error("Info for ".concat(e," was never set"));return a[e]}function c(e,t){if(!e)throw new Error("All info objects require an agent identifier!");a[e]=(0,i.D)(t,o),(0,n.Qy)(e,a[e],"info")}var u=r(7056);const d=()=>{const e={blockSelector:"[data-nr-block]",maskInputOptions:{password:!0}};return{allow_bfcache:!0,privacy:{cookies_enabled:!0},ajax:{deny_list:void 0,enabled:!0,harvestTimeSeconds:10},distributed_tracing:{enabled:void 0,exclude_newrelic_header:void 0,cors_use_newrelic_header:void 0,cors_use_tracecontext_headers:void 0,allowed_origins:void 0},session:{domain:void 0,expiresMs:u.oD,inactiveMs:u.Hb},ssl:void 0,obfuscate:void 0,jserrors:{enabled:!0,harvestTimeSeconds:10},metrics:{enabled:!0},page_action:{enabled:!0,harvestTimeSeconds:30},page_view_event:{enabled:!0},page_view_timing:{enabled:!0,harvestTimeSeconds:30,long_task:!1},session_trace:{enabled:!0,harvestTimeSeconds:10},harvest:{tooManyRequestsDelay:60},session_replay:{enabled:!1,harvestTimeSeconds:60,sampleRate:.1,errorSampleRate:.1,maskTextSelector:"*",maskAllInputs:!0,get blockClass(){return"nr-block"},get ignoreClass(){return"nr-ignore"},get maskTextClass(){return"nr-mask"},get blockSelector(){return e.blockSelector},set blockSelector(t){e.blockSelector+=",".concat(t)},get maskInputOptions(){return e.maskInputOptions},set maskInputOptions(t){e.maskInputOptions={...t,password:!0}}},spa:{enabled:!0,harvestTimeSeconds:10}}},f={};function l(e){if(!e)throw new Error("All configuration objects require an agent identifier!");if(!f[e])throw new Error("Configuration for ".concat(e," was never set"));return f[e]}function h(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");f[e]=(0,i.D)(t,d()),(0,n.Qy)(e,f[e],"config")}function g(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");var r=l(e);if(r){for(var n=t.split("."),i=0;i {r.d(t,{D:()=>i});var n=r(50);function i(e,t){try{if(!e||"object"!=typeof e)return(0,n.Z)("Setting a Configurable requires an object as input");if(!t||"object"!=typeof t)return(0,n.Z)("Setting a Configurable requires a model to set its initial properties");const r=Object.create(Object.getPrototypeOf(t),Object.getOwnPropertyDescriptors(t)),o=0===Object.keys(r).length?e:r;for(let a in o)if(void 0!==e[a])try{"object"==typeof e[a]&&"object"==typeof t[a]?r[a]=i(e[a],t[a]):r[a]=e[a]}catch(e){(0,n.Z)("An error occurred while setting a property of a Configurable",e)}return r}catch(e){(0,n.Z)("An error occured while setting a Configurable",e)}}},6818:(e,t,r)=>{r.d(t,{Re:()=>i,gF:()=>o,q4:()=>n});const n="1.236.0",i="PROD",o="CDN"},385:(e,t,r)=>{r.d(t,{FN:()=>a,IF:()=>u,Nk:()=>f,Tt:()=>s,_A:()=>o,il:()=>n,pL:()=>c,v6:()=>i,w1:()=>d});const n="undefined"!=typeof window&&!!window.document,i="undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self.navigator instanceof WorkerNavigator||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis.navigator instanceof WorkerNavigator),o=n?window:"undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis),a=""+o?.location,s=/iPad|iPhone|iPod/.test(navigator.userAgent),c=s&&"undefined"==typeof SharedWorker,u=(()=>{const e=navigator.userAgent.match(/Firefox[/\s](\d+\.\d+)/);return Array.isArray(e)&&e.length>=2?+e[1]:0})(),d=Boolean(n&&window.document.documentMode),f=!!navigator.sendBeacon},1117:(e,t,r)=>{r.d(t,{w:()=>o});var n=r(50);const i={agentIdentifier:"",ee:void 0};class o{constructor(e){try{if("object"!=typeof e)return(0,n.Z)("shared context requires an object as input");this.sharedContext={},Object.assign(this.sharedContext,i),Object.entries(e).forEach((e=>{let[t,r]=e;Object.keys(i).includes(t)&&(this.sharedContext[t]=r)}))}catch(e){(0,n.Z)("An error occured while setting SharedContext",e)}}}},8e3:(e,t,r)=>{r.d(t,{L:()=>d,R:()=>c});var n=r(2177),i=r(1284),o=r(4322),a=r(3325);const s={};function c(e,t){const r={staged:!1,priority:a.p[t]||0};u(e),s[e].get(t)||s[e].set(t,r)}function u(e){e&&(s[e]||(s[e]=new Map))}function d(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"feature";if(u(e),!e||!s[e].get(t))return a(t);s[e].get(t).staged=!0;const r=[...s[e]];function a(t){const r=e?n.ee.get(e):n.ee,a=o.X.handlers;if(r.backlog&&a){var s=r.backlog[t],c=a[t];if(c){for(var u=0;s&&u {let[t,r]=e;return r.staged}))&&(r.sort(((e,t)=>e[1].priority-t[1].priority)),r.forEach((e=>{let[t]=e;a(t)})))}function f(e,t){var r=e[1];(0,i.D)(t[r],(function(t,r){var n=e[0];if(r[0]===n){var i=r[1],o=e[3],a=e[2];i.apply(o,a)}}))}},2177:(e,t,r)=>{r.d(t,{c:()=>f,ee:()=>u});var n=r(8632),i=r(2210),o=r(1284),a=r(5763),s="nr@context";let c=(0,n.fP)();var u;function d(){}function f(e){return(0,i.X)(e,s,l)}function l(){return new d}function h(){u.aborted=!0,u.backlog={}}c.ee?u=c.ee:(u=function e(t,r){var n={},c={},f={},g=!1;try{g=16===r.length&&(0,a.OP)(r).isolatedBacklog}catch(e){}var p={on:b,addEventListener:b,removeEventListener:y,emit:v,get:x,listeners:w,context:m,buffer:A,abort:h,aborted:!1,isBuffering:E,debugId:r,backlog:g?{}:t&&"object"==typeof t.backlog?t.backlog:{}};return p;function m(e){return e&&e instanceof d?e:e?(0,i.X)(e,s,l):l()}function v(e,r,n,i,o){if(!1!==o&&(o=!0),!u.aborted||i){t&&o&&t.emit(e,r,n);for(var a=m(n),s=w(e),d=s.length,f=0;fn,p:()=>i});var n=r(2177).ee.get("handle");function i(e,t,r,i,o){o?(o.buffer([e],i),o.emit(e,t,r)):(n.buffer([e],i),n.emit(e,t,r))}},4322:(e,t,r)=>{r.d(t,{X:()=>o});var n=r(5546);o.on=a;var i=o.handlers={};function o(e,t,r,o){a(o||n.E,i,e,t,r)}function a(e,t,r,i,o){o||(o="feature"),e||(e=n.E);var a=t[o]=t[o]||{};(a[r]=a[r]||[]).push([e,i])}},3239:(e,t,r)=>{r.d(t,{bP:()=>s,iz:()=>c,m$:()=>a});var n=r(385);let i=!1,o=!1;try{const e={get passive(){return i=!0,!1},get signal(){return o=!0,!1}};n._A.addEventListener("test",null,e),n._A.removeEventListener("test",null,e)}catch(e){}function a(e,t){return i||o?{capture:!!e,passive:i,signal:t}:!!e}function s(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;window.addEventListener(e,t,a(r,n))}function c(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;document.addEventListener(e,t,a(r,n))}},4402:(e,t,r)=>{r.d(t,{Ht:()=>u,M:()=>c,Rl:()=>a,ky:()=>s});var n=r(385);const i="xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx";function o(e,t){return e?15&e[t]:16*Math.random()|0}function a(){const e=n._A?.crypto||n._A?.msCrypto;let t,r=0;return e&&e.getRandomValues&&(t=e.getRandomValues(new Uint8Array(31))),i.split("").map((e=>"x"===e?o(t,++r).toString(16):"y"===e?(3&o()|8).toString(16):e)).join("")}function s(e){const t=n._A?.crypto||n._A?.msCrypto;let r,i=0;t&&t.getRandomValues&&(r=t.getRandomValues(new Uint8Array(31)));const a=[];for(var s=0;s {r.d(t,{Bq:()=>n,Hb:()=>o,oD:()=>i});const n="NRBA",i=144e5,o=18e5},7894:(e,t,r)=>{function n(){return Math.round(performance.now())}r.d(t,{z:()=>n})},7243:(e,t,r)=>{r.d(t,{e:()=>o});var n=r(385),i={};function o(e){if(e in i)return i[e];if(0===(e||"").indexOf("data:"))return{protocol:"data"};let t;var r=n._A?.location,o={};if(n.il)t=document.createElement("a"),t.href=e;else try{t=new URL(e,r.href)}catch(e){return o}o.port=t.port;var a=t.href.split("://");!o.port&&a[1]&&(o.port=a[1].split("/")[0].split("@").pop().split(":")[1]),o.port&&"0"!==o.port||(o.port="https"===a[0]?"443":"80"),o.hostname=t.hostname||r.hostname,o.pathname=t.pathname,o.protocol=a[0],"/"!==o.pathname.charAt(0)&&(o.pathname="/"+o.pathname);var s=!t.protocol||":"===t.protocol||t.protocol===r.protocol,c=t.hostname===r.hostname&&t.port===r.port;return o.sameOrigin=s&&(!t.hostname||c),"/"===o.pathname&&(i[e]=o),o}},50:(e,t,r)=>{function n(e,t){"function"==typeof console.warn&&(console.warn("New Relic: ".concat(e)),t&&console.warn(t))}r.d(t,{Z:()=>n})},2587:(e,t,r)=>{r.d(t,{N:()=>c,T:()=>u});var n=r(2177),i=r(5546),o=r(8e3),a=r(3325);const s={stn:[a.D.sessionTrace],err:[a.D.jserrors,a.D.metrics],ins:[a.D.pageAction],spa:[a.D.spa],sr:[a.D.sessionReplay,a.D.sessionTrace]};function c(e,t){const r=n.ee.get(t);e&&"object"==typeof e&&(Object.entries(e).forEach((e=>{let[t,n]=e;void 0===u[t]&&(s[t]?s[t].forEach((e=>{n?(0,i.p)("feat-"+t,[],void 0,e,r):(0,i.p)("block-"+t,[],void 0,e,r),(0,i.p)("rumresp-"+t,[Boolean(n)],void 0,e,r)})):n&&(0,i.p)("feat-"+t,[],void 0,void 0,r),u[t]=Boolean(n))})),Object.keys(s).forEach((e=>{void 0===u[e]&&(s[e]?.forEach((t=>(0,i.p)("rumresp-"+e,[!1],void 0,t,r))),u[e]=!1)})),(0,o.L)(t,a.D.pageViewEvent))}const u={}},2210:(e,t,r)=>{r.d(t,{X:()=>i});var n=Object.prototype.hasOwnProperty;function i(e,t,r){if(n.call(e,t))return e[t];var i=r();if(Object.defineProperty&&Object.keys)try{return Object.defineProperty(e,t,{value:i,writable:!0,enumerable:!1}),i}catch(e){}return e[t]=i,i}},1284:(e,t,r)=>{r.d(t,{D:()=>n});const n=(e,t)=>Object.entries(e||{}).map((e=>{let[r,n]=e;return t(r,n)}))},4351:(e,t,r)=>{r.d(t,{P:()=>o});var n=r(2177);const i=()=>{const e=new WeakSet;return(t,r)=>{if("object"==typeof r&&null!==r){if(e.has(r))return;e.add(r)}return r}};function o(e){try{return JSON.stringify(e,i())}catch(e){try{n.ee.emit("internal-error",[e])}catch(e){}}}},3960:(e,t,r)=>{r.d(t,{K:()=>a,b:()=>o});var n=r(3239);function i(){return"undefined"==typeof document||"complete"===document.readyState}function o(e,t){if(i())return e();(0,n.bP)("load",e,t)}function a(e){if(i())return e();(0,n.iz)("DOMContentLoaded",e)}},8632:(e,t,r)=>{r.d(t,{EZ:()=>u,Qy:()=>c,ce:()=>o,fP:()=>a,gG:()=>d,mF:()=>s});var n=r(7894),i=r(385);const o={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net"};function a(){return i._A.NREUM||(i._A.NREUM={}),void 0===i._A.newrelic&&(i._A.newrelic=i._A.NREUM),i._A.NREUM}function s(){let e=a();return e.o||(e.o={ST:i._A.setTimeout,SI:i._A.setImmediate,CT:i._A.clearTimeout,XHR:i._A.XMLHttpRequest,REQ:i._A.Request,EV:i._A.Event,PR:i._A.Promise,MO:i._A.MutationObserver,FETCH:i._A.fetch}),e}function c(e,t,r){let i=a();const o=i.initializedAgents||{},s=o[e]||{};return Object.keys(s).length||(s.initializedAt={ms:(0,n.z)(),date:new Date}),i.initializedAgents={...o,[e]:{...s,[r]:t}},i}function u(e,t){a()[e]=t}function d(){return function(){let e=a();const t=e.info||{};e.info={beacon:o.beacon,errorBeacon:o.errorBeacon,...t}}(),function(){let e=a();const t=e.init||{};e.init={...t}}(),s(),function(){let e=a();const t=e.loader_config||{};e.loader_config={...t}}(),a()}},7956:(e,t,r)=>{r.d(t,{N:()=>i});var n=r(3239);function i(e){let t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2?arguments[2]:void 0,i=arguments.length>3?arguments[3]:void 0;return void(0,n.iz)("visibilitychange",(function(){if(t)return void("hidden"==document.visibilityState&&e());e(document.visibilityState)}),r,i)}},1214:(e,t,r)=>{r.d(t,{em:()=>v,u5:()=>N,QU:()=>S,_L:()=>I,Gm:()=>L,Lg:()=>M,gy:()=>U,BV:()=>Q,Kf:()=>ee});var n=r(2177);const i="nr@original";var o=Object.prototype.hasOwnProperty,a=!1;function s(e,t){return e||(e=n.ee),r.inPlace=function(e,t,n,i,o){n||(n="");var a,s,c,u="-"===n.charAt(0);for(c=0;c 2?n-2:0),o=2;o {r(A[T],e,w),r(E[T],e,w)})),r(l._A,"fetch",y),t.on(y+"end",(function(e,r){var n=this;if(r){var i=r.headers.get("content-length");null!==i&&(n.rxSize=i),t.emit(y+"done",[null,r],n)}else t.emit(y+"done",[e],n)})),t}const O={},j=["pushState","replaceState"];function S(e){const t=function(e){return(e||n.ee).get("history")}(e);return!l.il||O[t.debugId]++||(O[t.debugId]=1,s(t).inPlace(window.history,j,"-")),t}var P=r(3239);const C={},R=["appendChild","insertBefore","replaceChild"];function I(e){const t=function(e){return(e||n.ee).get("jsonp")}(e);if(!l.il||C[t.debugId])return t;C[t.debugId]=!0;var r=s(t),i=/[?&](?:callback|cb)=([^&#]+)/,o=/(.*)\.([^.]+)/,a=/^(\w+)(\.|$)(.*)$/;function c(e,t){var r=e.match(a),n=r[1],i=r[3];return i?c(i,t[n]):t[n]}return r.inPlace(Node.prototype,R,"dom-"),t.on("dom-start",(function(e){!function(e){if(!e||"string"!=typeof e.nodeName||"script"!==e.nodeName.toLowerCase())return;if("function"!=typeof e.addEventListener)return;var n=(a=e.src,s=a.match(i),s?s[1]:null);var a,s;if(!n)return;var u=function(e){var t=e.match(o);if(t&&t.length>=3)return{key:t[2],parent:c(t[1],window)};return{key:e,parent:window}}(n);if("function"!=typeof u.parent[u.key])return;var d={};function f(){t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}function l(){t.emit("jsonp-error",[],d),t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}r.inPlace(u.parent,[u.key],"cb-",d),e.addEventListener("load",f,(0,P.m$)(!1)),e.addEventListener("error",l,(0,P.m$)(!1)),t.emit("new-jsonp",[e.src],d)}(e[0])})),t}var k=r(5763);const H={};function L(e){const t=function(e){return(e||n.ee).get("mutation")}(e);if(!l.il||H[t.debugId])return t;H[t.debugId]=!0;var r=s(t),i=k.Yu.MO;return i&&(window.MutationObserver=function(e){return this instanceof i?new i(r(e,"fn-")):i.apply(this,arguments)},MutationObserver.prototype=i.prototype),t}const z={};function M(e){const t=function(e){return(e||n.ee).get("promise")}(e);if(z[t.debugId])return t;z[t.debugId]=!0;var r=n.c,o=s(t),a=k.Yu.PR;return a&&function(){function e(r){var n=t.context(),i=o(r,"executor-",n,null,!1);const s=Reflect.construct(a,[i],e);return t.context(s).getCtx=function(){return n},s}l._A.Promise=e,Object.defineProperty(e,"name",{value:"Promise"}),e.toString=function(){return a.toString()},Object.setPrototypeOf(e,a),["all","race"].forEach((function(r){const n=a[r];e[r]=function(e){let i=!1;[...e||[]].forEach((e=>{this.resolve(e).then(a("all"===r),a(!1))}));const o=n.apply(this,arguments);return o;function a(e){return function(){t.emit("propagate",[null,!i],o,!1,!1),i=i||!e}}}})),["resolve","reject"].forEach((function(r){const n=a[r];e[r]=function(e){const r=n.apply(this,arguments);return e!==r&&t.emit("propagate",[e,!0],r,!1,!1),r}})),e.prototype=a.prototype;const n=a.prototype.then;a.prototype.then=function(){var e=this,i=r(e);i.promise=e;for(var a=arguments.length,s=new Array(a),c=0;c e())),t};function m(e,t){i.inPlace(t,["onreadystatechange"],"fn-",E)}function b(){var e=this,t=r.context(e);e.readyState>3&&!t.resolved&&(t.resolved=!0,r.emit("xhr-resolved",[],e)),i.inPlace(e,f,"fn-",E)}if(function(e,t){for(var r in e)t[r]=e[r]}(o,p),p.prototype=o.prototype,i.inPlace(p.prototype,J,"-xhr-",E),r.on("send-xhr-start",(function(e,t){m(e,t),function(e){h.push(e),a&&(y?y.then(A):u?u(A):(w=-w,x.data=w))}(t)})),r.on("open-xhr-start",m),a){var y=c&&c.resolve();if(!u&&!c){var w=1,x=document.createTextNode(w);new a(A).observe(x,{characterData:!0})}}else t.on("fn-end",(function(e){e[0]&&e[0].type===d||A()}));function A(){for(var e=0;e {r.d(t,{t:()=>n});const n=r(3325).D.ajax},6660:(e,t,r)=>{r.d(t,{A:()=>i,t:()=>n});const n=r(3325).D.jserrors,i="nr@seenError"},3081:(e,t,r)=>{r.d(t,{gF:()=>o,mY:()=>i,t9:()=>n,vz:()=>s,xS:()=>a});const n=r(3325).D.metrics,i="sm",o="cm",a="storeSupportabilityMetrics",s="storeEventMetrics"},4649:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageAction},7633:(e,t,r)=>{r.d(t,{Dz:()=>i,OJ:()=>a,qw:()=>o,t9:()=>n});const n=r(3325).D.pageViewEvent,i="firstbyte",o="domcontent",a="windowload"},9251:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageViewTiming},3614:(e,t,r)=>{r.d(t,{BST_RESOURCE:()=>i,END:()=>s,FEATURE_NAME:()=>n,FN_END:()=>u,FN_START:()=>c,PUSH_STATE:()=>d,RESOURCE:()=>o,START:()=>a});const n=r(3325).D.sessionTrace,i="bstResource",o="resource",a="-start",s="-end",c="fn"+a,u="fn"+s,d="pushState"},7836:(e,t,r)=>{r.d(t,{BODY:()=>A,CB_END:()=>E,CB_START:()=>u,END:()=>x,FEATURE_NAME:()=>i,FETCH:()=>_,FETCH_BODY:()=>v,FETCH_DONE:()=>m,FETCH_START:()=>p,FN_END:()=>c,FN_START:()=>s,INTERACTION:()=>l,INTERACTION_API:()=>d,INTERACTION_EVENTS:()=>o,JSONP_END:()=>b,JSONP_NODE:()=>g,JS_TIME:()=>T,MAX_TIMER_BUDGET:()=>a,REMAINING:()=>f,SPA_NODE:()=>h,START:()=>w,originalSetTimeout:()=>y});var n=r(5763);const i=r(3325).D.spa,o=["click","submit","keypress","keydown","keyup","change"],a=999,s="fn-start",c="fn-end",u="cb-start",d="api-ixn-",f="remaining",l="interaction",h="spaNode",g="jsonpNode",p="fetch-start",m="fetch-done",v="fetch-body-",b="jsonp-end",y=n.Yu.ST,w="-start",x="-end",A="-body",E="cb"+x,T="jsTime",_="fetch"},5938:(e,t,r)=>{r.d(t,{W:()=>o});var n=r(5763),i=r(2177);class o{constructor(e,t,r){this.agentIdentifier=e,this.aggregator=t,this.ee=i.ee.get(e,(0,n.OP)(this.agentIdentifier).isolatedBacklog),this.featureName=r,this.blocked=!1}}},9144:(e,t,r)=>{r.d(t,{j:()=>m});var n=r(3325),i=r(5763),o=r(5546),a=r(2177),s=r(7894),c=r(8e3),u=r(3960),d=r(385),f=r(50),l=r(3081),h=r(8632);function g(){const e=(0,h.gG)();["setErrorHandler","finished","addToTrace","inlineHit","addRelease","addPageAction","setCurrentRouteName","setPageViewName","setCustomAttribute","interaction","noticeError","setUserId"].forEach((t=>{e[t]=function(){for(var r=arguments.length,n=new Array(r),i=0;i 1?r-1:0),i=1;i {e.exposed&&e.api[t]&&o.push(e.api[t](...n))})),o.length>1?o:o[0]}(t,...n)}}))}var p=r(2587);function m(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},m=arguments.length>2?arguments[2]:void 0,v=arguments.length>3?arguments[3]:void 0,{init:b,info:y,loader_config:w,runtime:x={loaderType:m},exposed:A=!0}=t;const E=(0,h.gG)();y||(b=E.init,y=E.info,w=E.loader_config),(0,i.Dg)(e,b||{}),(0,i.GE)(e,w||{}),(0,i.sU)(e,x),y.jsAttributes??={},d.v6&&(y.jsAttributes.isWorker=!0),(0,i.CX)(e,y),g();const T=function(e,t){t||(0,c.R)(e,"api");const h={};var g=a.ee.get(e),p=g.get("tracer"),m="api-",v=m+"ixn-";function b(t,r,n,o){const a=(0,i.C5)(e);return null===r?delete a.jsAttributes[t]:(0,i.CX)(e,{...a,jsAttributes:{...a.jsAttributes,[t]:r}}),x(m,n,!0,o||null===r?"session":void 0)(t,r)}function y(){}["setErrorHandler","finished","addToTrace","inlineHit","addRelease"].forEach((e=>h[e]=x(m,e,!0,"api"))),h.addPageAction=x(m,"addPageAction",!0,n.D.pageAction),h.setCurrentRouteName=x(m,"routeName",!0,n.D.spa),h.setPageViewName=function(t,r){if("string"==typeof t)return"/"!==t.charAt(0)&&(t="/"+t),(0,i.OP)(e).customTransaction=(r||"http://custom.transaction")+t,x(m,"setPageViewName",!0)()},h.setCustomAttribute=function(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if("string"==typeof e){if(["string","number"].includes(typeof t)||null===t)return b(e,t,"setCustomAttribute",r);(0,f.Z)("Failed to execute setCustomAttribute.\nNon-null value must be a string or number type, but a type of was provided."))}else(0,f.Z)("Failed to execute setCustomAttribute.\nName must be a string type, but a type of was provided."))},h.setUserId=function(e){if("string"==typeof e||null===e)return b("enduser.id",e,"setUserId",!0);(0,f.Z)("Failed to execute setUserId.\nNon-null value must be a string type, but a type of was provided."))},h.interaction=function(){return(new y).get()};var w=y.prototype={createTracer:function(e,t){var r={},i=this,a="function"==typeof t;return(0,o.p)(v+"tracer",[(0,s.z)(),e,r],i,n.D.spa,g),function(){if(p.emit((a?"":"no-")+"fn-start",[(0,s.z)(),i,a],r),a)try{return t.apply(this,arguments)}catch(e){throw p.emit("fn-err",[arguments,this,"string"==typeof e?new Error(e):e],r),e}finally{p.emit("fn-end",[(0,s.z)()],r)}}}};function x(e,t,r,i){return function(){return(0,o.p)(l.xS,["API/"+t+"/called"],void 0,n.D.metrics,g),i&&(0,o.p)(e+t,[(0,s.z)(),...arguments],r?null:this,i,g),r?void 0:this}}function A(){r.e(439).then(r.bind(r,7438)).then((t=>{let{setAPI:r}=t;r(e),(0,c.L)(e,"api")})).catch((()=>(0,f.Z)("Downloading runtime APIs failed...")))}return["actionText","setName","setAttribute","save","ignore","onEnd","getContext","end","get"].forEach((e=>{w[e]=x(v,e,void 0,n.D.spa)})),h.noticeError=function(e,t){"string"==typeof e&&(e=new Error(e)),(0,o.p)(l.xS,["API/noticeError/called"],void 0,n.D.metrics,g),(0,o.p)("err",[e,(0,s.z)(),!1,t],void 0,n.D.jserrors,g)},d.il?(0,u.b)((()=>A()),!0):A(),h}(e,v);return(0,h.Qy)(e,T,"api"),(0,h.Qy)(e,A,"exposed"),(0,h.EZ)("activatedFeatures",p.T),T}},3325:(e,t,r)=>{r.d(t,{D:()=>n,p:()=>i});const n={ajax:"ajax",jserrors:"jserrors",metrics:"metrics",pageAction:"page_action",pageViewEvent:"page_view_event",pageViewTiming:"page_view_timing",sessionReplay:"session_replay",sessionTrace:"session_trace",spa:"spa"},i={[n.pageViewEvent]:1,[n.pageViewTiming]:2,[n.metrics]:3,[n.jserrors]:4,[n.ajax]:5,[n.sessionTrace]:6,[n.pageAction]:7,[n.spa]:8,[n.sessionReplay]:9}}},n={};function i(e){var t=n[e];if(void 0!==t)return t.exports;var o=n[e]={exports:{}};return r[e](o,o.exports,i),o.exports}i.m=r,i.d=(e,t)=>{for(var r in t)i.o(t,r)&&!i.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},i.f={},i.e=e=>Promise.all(Object.keys(i.f).reduce(((t,r)=>(i.f[r](e,t),t)),[])),i.u=e=>(({78:"page_action-aggregate",147:"metrics-aggregate",242:"session-manager",317:"jserrors-aggregate",348:"page_view_timing-aggregate",412:"lazy-feature-loader",439:"async-api",538:"recorder",590:"session_replay-aggregate",675:"compressor",733:"session_trace-aggregate",786:"page_view_event-aggregate",873:"spa-aggregate",898:"ajax-aggregate"}[e]||e)+"."+{78:"ac76d497",147:"3dc53903",148:"1a20d5fe",242:"2a64278a",317:"49e41428",348:"bd6de33a",412:"2f55ce66",439:"30bd804e",538:"1b18459f",590:"cf0efb30",675:"ae9f91a8",733:"83105561",786:"06482edd",860:"03a8b7a5",873:"e6b09d52",898:"998ef92b"}[e]+"-1.236.0.min.js"),i.o=(e,t)=>Object.prototype.hasOwnProperty.call(e,t),e={},t="NRBA:",i.l=(r,n,o,a)=>{if(e[r])e[r].push(n);else{var s,c;if(void 0!==o)for(var u=document.getElementsByTagName("script"),d=0;d {s.onerror=s.onload=null,clearTimeout(h);var i=e[r];if(delete e[r],s.parentNode&&s.parentNode.removeChild(s),i&&i.forEach((e=>e(n))),t)return t(n)},h=setTimeout(l.bind(null,void 0,{type:"timeout",target:s}),12e4);s.onerror=l.bind(null,s.onerror),s.onload=l.bind(null,s.onload),c&&document.head.appendChild(s)}},i.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.j=364,i.p="https://js-agent.newrelic.com/",(()=>{var e={364:0,953:0};i.f.j=(t,r)=>{var n=i.o(e,t)?e[t]:void 0;if(0!==n)if(n)r.push(n[2]);else{var o=new Promise(((r,i)=>n=e[t]=[r,i]));r.push(n[2]=o);var a=i.p+i.u(t),s=new Error;i.l(a,(r=>{if(i.o(e,t)&&(0!==(n=e[t])&&(e[t]=void 0),n)){var o=r&&("load"===r.type?"missing":r.type),a=r&&r.target&&r.target.src;s.message="Loading chunk "+t+" failed.\n("+o+": "+a+")",s.name="ChunkLoadError",s.type=o,s.request=a,n[1](s)}}),"chunk-"+t,t)}};var t=(t,r)=>{var n,o,[a,s,c]=r,u=0;if(a.some((t=>0!==e[t]))){for(n in s)i.o(s,n)&&(i.m[n]=s[n]);if(c)c(i)}for(t&&t(r);u {i.r(o);var e=i(3325),t=i(5763);const r=Object.values(e.D);function n(e){const n={};return r.forEach((r=>{n[r]=function(e,r){return!1!==(0,t.Mt)(r,"".concat(e,".enabled"))}(r,e)})),n}var a=i(9144);var s=i(5546),c=i(385),u=i(8e3),d=i(5938),f=i(3960),l=i(50);class h extends d.W{constructor(e,t,r){let n=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];super(e,t,r),this.auto=n,this.abortHandler,this.featAggregate,this.onAggregateImported,n&&(0,u.R)(e,r)}importAggregator(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};if(this.featAggregate||!this.auto)return;const r=c.il&&!0===(0,t.Mt)(this.agentIdentifier,"privacy.cookies_enabled");let n;this.onAggregateImported=new Promise((e=>{n=e}));const o=async()=>{let t;try{if(r){const{setupAgentSession:e}=await Promise.all([i.e(860),i.e(242)]).then(i.bind(i,3228));t=e(this.agentIdentifier)}}catch(e){(0,l.Z)("A problem occurred when starting up session manager. This page will not start or extend any session.",e)}try{if(!this.shouldImportAgg(this.featureName,t))return void(0,u.L)(this.agentIdentifier,this.featureName);const{lazyFeatureLoader:r}=await i.e(412).then(i.bind(i,8582)),{Aggregate:o}=await r(this.featureName,"aggregate");this.featAggregate=new o(this.agentIdentifier,this.aggregator,e),n(!0)}catch(e){(0,l.Z)("Downloading and initializing ".concat(this.featureName," failed..."),e),this.abortHandler?.(),n(!1)}};c.il?(0,f.b)((()=>o()),!0):o()}shouldImportAgg(r,n){return r!==e.D.sessionReplay||!1!==(0,t.Mt)(this.agentIdentifier,"session_trace.enabled")&&(!!n?.isNew||!!n?.state.sessionReplay)}}var g=i(7633),p=i(7894);class m extends h{static featureName=g.t9;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(super(r,n,g.t9,i),("undefined"==typeof PerformanceNavigationTiming||c.Tt)&&"undefined"!=typeof PerformanceTiming){const n=(0,t.OP)(r);n[g.Dz]=Math.max(Date.now()-n.offset,0),(0,f.K)((()=>n[g.qw]=Math.max((0,p.z)()-n[g.Dz],0))),(0,f.b)((()=>{const t=(0,p.z)();n[g.OJ]=Math.max(t-n[g.Dz],0),(0,s.p)("timing",["load",t],void 0,e.D.pageViewTiming,this.ee)}))}this.importAggregator()}}var v=i(1117),b=i(1284);class y extends v.w{constructor(e){super(e),this.aggregatedData={}}store(e,t,r,n,i){var o=this.getBucket(e,t,r,i);return o.metrics=function(e,t){t||(t={count:0});return t.count+=1,(0,b.D)(e,(function(e,r){t[e]=w(r,t[e])})),t}(n,o.metrics),o}merge(e,t,r,n,i){var o=this.getBucket(e,t,n,i);if(o.metrics){var a=o.metrics;a.count+=r.count,(0,b.D)(r,(function(e,t){if("count"!==e){var n=a[e],i=r[e];i&&!i.c?a[e]=w(i.t,n):a[e]=function(e,t){if(!t)return e;t.c||(t=x(t.t));return t.min=Math.min(e.min,t.min),t.max=Math.max(e.max,t.max),t.t+=e.t,t.sos+=e.sos,t.c+=e.c,t}(i,a[e])}}))}else o.metrics=r}storeMetric(e,t,r,n){var i=this.getBucket(e,t,r);return i.stats=w(n,i.stats),i}getBucket(e,t,r,n){this.aggregatedData[e]||(this.aggregatedData[e]={});var i=this.aggregatedData[e][t];return i||(i=this.aggregatedData[e][t]={params:r||{}},n&&(i.custom=n)),i}get(e,t){return t?this.aggregatedData[e]&&this.aggregatedData[e][t]:this.aggregatedData[e]}take(e){for(var t={},r="",n=!1,i=0;i t.max&&(t.max=e),e 2&&void 0!==arguments[2])||arguments[2];super(e,r,j.t,n),c.il&&((0,t.OP)(e).initHidden=Boolean("hidden"===document.visibilityState),(0,N.N)((()=>(0,s.p)("docHidden",[(0,p.z)()],void 0,j.t,this.ee)),!0),(0,O.bP)("pagehide",(()=>(0,s.p)("winPagehide",[(0,p.z)()],void 0,j.t,this.ee))),this.importAggregator())}}var P=i(3081);class C extends h{static featureName=P.t9;constructor(e,t){let r=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(e,t,P.t9,r),this.importAggregator()}}var R,I=i(2210),k=i(1214),H=i(2177),L={};try{R=localStorage.getItem("__nr_flags").split(","),console&&"function"==typeof console.log&&(L.console=!0,-1!==R.indexOf("dev")&&(L.dev=!0),-1!==R.indexOf("nr_dev")&&(L.nrDev=!0))}catch(e){}function z(e){try{L.console&&z(e)}catch(e){}}L.nrDev&&H.ee.on("internal-error",(function(e){z(e.stack)})),L.dev&&H.ee.on("fn-err",(function(e,t,r){z(r.stack)})),L.dev&&(z("NR AGENT IN DEVELOPMENT MODE"),z("flags: "+(0,b.D)(L,(function(e,t){return e})).join(", ")));var M=i(6660);class B extends h{static featureName=M.t;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(r,n,M.t,i),this.skipNext=0;try{this.removeOnAbort=new AbortController}catch(e){}const o=this;o.ee.on("fn-start",(function(e,t,r){o.abortHandler&&(o.skipNext+=1)})),o.ee.on("fn-err",(function(t,r,n){o.abortHandler&&!n[M.A]&&((0,I.X)(n,M.A,(function(){return!0})),this.thrown=!0,(0,s.p)("err",[n,(0,p.z)()],void 0,e.D.jserrors,o.ee))})),o.ee.on("fn-end",(function(){o.abortHandler&&!this.thrown&&o.skipNext>0&&(o.skipNext-=1)})),o.ee.on("internal-error",(function(t){(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,o.ee)})),this.origOnerror=c._A.onerror,c._A.onerror=this.onerrorHandler.bind(this),c._A.addEventListener("unhandledrejection",(t=>{const r=function(e){let t="Unhandled Promise Rejection: ";if(e instanceof Error)try{return e.message=t+e.message,e}catch(t){return e}if(void 0===e)return new Error(t);try{return new Error(t+(0,D.P)(e))}catch(e){return new Error(t)}}(t.reason);(0,s.p)("err",[r,(0,p.z)(),!1,{unhandledPromiseRejection:1}],void 0,e.D.jserrors,this.ee)}),(0,O.m$)(!1,this.removeOnAbort?.signal)),(0,k.gy)(this.ee),(0,k.BV)(this.ee),(0,k.em)(this.ee),(0,t.OP)(r).xhrWrappable&&(0,k.Kf)(this.ee),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}onerrorHandler(t,r,n,i,o){"function"==typeof this.origOnerror&&this.origOnerror(...arguments);try{this.skipNext?this.skipNext-=1:(0,s.p)("err",[o||new F(t,r,n),(0,p.z)()],void 0,e.D.jserrors,this.ee)}catch(t){try{(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,this.ee)}catch(e){}}return!1}}function F(e,t,r){this.message=e||"Uncaught error with no additional information",this.sourceURL=t,this.line=r}let U=1;const q="nr@id";function G(e){const t=typeof e;return!e||"object"!==t&&"function"!==t?-1:e===c._A?0:(0,I.X)(e,q,(function(){return U++}))}function V(e){if("string"==typeof e&&e.length)return e.length;if("object"==typeof e){if("undefined"!=typeof ArrayBuffer&&e instanceof ArrayBuffer&&e.byteLength)return e.byteLength;if("undefined"!=typeof Blob&&e instanceof Blob&&e.size)return e.size;if(!("undefined"!=typeof FormData&&e instanceof FormData))try{return(0,D.P)(e).length}catch(e){return}}}var X=i(7243);class W{constructor(e){this.agentIdentifier=e,this.generateTracePayload=this.generateTracePayload.bind(this),this.shouldGenerateTrace=this.shouldGenerateTrace.bind(this)}generateTracePayload(e){if(!this.shouldGenerateTrace(e))return null;var r=(0,t.DL)(this.agentIdentifier);if(!r)return null;var n=(r.accountID||"").toString()||null,i=(r.agentID||"").toString()||null,o=(r.trustKey||"").toString()||null;if(!n||!i)return null;var a=(0,_.M)(),s=(0,_.Ht)(),c=Date.now(),u={spanId:a,traceId:s,timestamp:c};return(e.sameOrigin||this.isAllowedOrigin(e)&&this.useTraceContextHeadersForCors())&&(u.traceContextParentHeader=this.generateTraceContextParentHeader(a,s),u.traceContextStateHeader=this.generateTraceContextStateHeader(a,c,n,i,o)),(e.sameOrigin&&!this.excludeNewrelicHeader()||!e.sameOrigin&&this.isAllowedOrigin(e)&&this.useNewrelicHeaderForCors())&&(u.newrelicHeader=this.generateTraceHeader(a,s,c,n,i,o)),u}generateTraceContextParentHeader(e,t){return"00-"+t+"-"+e+"-01"}generateTraceContextStateHeader(e,t,r,n,i){return i+"@nr=0-1-"+r+"-"+n+"-"+e+"----"+t}generateTraceHeader(e,t,r,n,i,o){if(!("function"==typeof c._A?.btoa))return null;var a={v:[0,1],d:{ty:"Browser",ac:n,ap:i,id:e,tr:t,ti:r}};return o&&n!==o&&(a.d.tk=o),btoa((0,D.P)(a))}shouldGenerateTrace(e){return this.isDtEnabled()&&this.isAllowedOrigin(e)}isAllowedOrigin(e){var r=!1,n={};if((0,t.Mt)(this.agentIdentifier,"distributed_tracing")&&(n=(0,t.P_)(this.agentIdentifier).distributed_tracing),e.sameOrigin)r=!0;else if(n.allowed_origins instanceof Array)for(var i=0;i 2&&void 0!==arguments[2])||arguments[2];super(r,n,Z.t,i),(0,t.OP)(r).xhrWrappable&&(this.dt=new W(r),this.handler=(e,t,r,n)=>(0,s.p)(e,t,r,n,this.ee),(0,k.u5)(this.ee),(0,k.Kf)(this.ee),function(r,n,i,o){function a(e){var t=this;t.totalCbs=0,t.called=0,t.cbTime=0,t.end=E,t.ended=!1,t.xhrGuids={},t.lastSize=null,t.loadCaptureCalled=!1,t.params=this.params||{},t.metrics=this.metrics||{},e.addEventListener("load",(function(r){_(t,e)}),(0,O.m$)(!1)),c.IF||e.addEventListener("progress",(function(e){t.lastSize=e.loaded}),(0,O.m$)(!1))}function s(e){this.params={method:e[0]},T(this,e[1]),this.metrics={}}function u(e,n){var i=(0,t.DL)(r);i.xpid&&this.sameOrigin&&n.setRequestHeader("X-NewRelic-ID",i.xpid);var a=o.generateTracePayload(this.parsedOrigin);if(a){var s=!1;a.newrelicHeader&&(n.setRequestHeader("newrelic",a.newrelicHeader),s=!0),a.traceContextParentHeader&&(n.setRequestHeader("traceparent",a.traceContextParentHeader),a.traceContextStateHeader&&n.setRequestHeader("tracestate",a.traceContextStateHeader),s=!0),s&&(this.dt=a)}}function d(e,t){var r=this.metrics,i=e[0],o=this;if(r&&i){var a=V(i);a&&(r.txSize=a)}this.startTime=(0,p.z)(),this.listener=function(e){try{"abort"!==e.type||o.loadCaptureCalled||(o.params.aborted=!0),("load"!==e.type||o.called===o.totalCbs&&(o.onloadCalled||"function"!=typeof t.onload)&&"function"==typeof o.end)&&o.end(t)}catch(e){try{n.emit("internal-error",[e])}catch(e){}}};for(var s=0;s 1?e[1]=i:e.push(i)}else e[0]&&e[0].headers&&s(e[0].headers,n)&&(this.dt=n);function s(e,t){var r=!1;return t.newrelicHeader&&(e.set("newrelic",t.newrelicHeader),r=!0),t.traceContextParentHeader&&(e.set("traceparent",t.traceContextParentHeader),t.traceContextStateHeader&&e.set("tracestate",t.traceContextStateHeader),r=!0),r}}function x(e,t){this.params={},this.metrics={},this.startTime=(0,p.z)(),this.dt=t,e.length>=1&&(this.target=e[0]),e.length>=2&&(this.opts=e[1]);var r,n=this.opts||{},i=this.target;"string"==typeof i?r=i:"object"==typeof i&&i instanceof Y?r=i.url:c._A?.URL&&"object"==typeof i&&i instanceof URL&&(r=i.href),T(this,r);var o=(""+(i&&i instanceof Y&&i.method||n.method||"GET")).toUpperCase();this.params.method=o,this.txSize=V(n.body)||0}function A(t,r){var n;this.endTime=(0,p.z)(),this.params||(this.params={}),this.params.status=r?r.status:0,"string"==typeof this.rxSize&&this.rxSize.length>0&&(n=+this.rxSize);var o={txSize:this.txSize,rxSize:n,duration:(0,p.z)()-this.startTime};i("xhr",[this.params,o,this.startTime,this.endTime,"fetch"],this,e.D.ajax)}function E(t){var r=this.params,n=this.metrics;if(!this.ended){this.ended=!0;for(var o=0;o 2&&void 0!==arguments[2])||arguments[2];super(e,t,we.t,r),this.importAggregator()}}new class{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:(0,_.ky)(16);c._A?(this.agentIdentifier=t,this.sharedAggregator=new y({agentIdentifier:this.agentIdentifier}),this.features={},this.desiredFeatures=new Set(e.features||[]),this.desiredFeatures.add(m),Object.assign(this,(0,a.j)(this.agentIdentifier,e,e.loaderType||"agent")),this.start()):(0,l.Z)("Failed to initial the agent. Could not determine the runtime environment.")}get config(){return{info:(0,t.C5)(this.agentIdentifier),init:(0,t.P_)(this.agentIdentifier),loader_config:(0,t.DL)(this.agentIdentifier),runtime:(0,t.OP)(this.agentIdentifier)}}start(){const t="features";try{const r=n(this.agentIdentifier),i=[...this.desiredFeatures];i.sort(((t,r)=>e.p[t.featureName]-e.p[r.featureName])),i.forEach((t=>{if(r[t.featureName]||t.featureName===e.D.pageViewEvent){const n=function(t){switch(t){case e.D.ajax:return[e.D.jserrors];case e.D.sessionTrace:return[e.D.ajax,e.D.pageViewEvent];case e.D.sessionReplay:return[e.D.sessionTrace];case e.D.pageViewTiming:return[e.D.pageViewEvent];default:return[]}}(t.featureName);n.every((e=>r[e]))||(0,l.Z)("".concat(t.featureName," is enabled but one or more dependent features has been disabled (").concat((0,D.P)(n),"). This may cause unintended consequences or missing data...")),this.features[t.featureName]=new t(this.agentIdentifier,this.sharedAggregator)}})),(0,T.Qy)(this.agentIdentifier,this.features,t)}catch(e){(0,l.Z)("Failed to initialize all enabled instrument classes (agent aborted) -",e);for(const e in this.features)this.features[e].abortHandler?.();const r=(0,T.fP)();return delete r.initializedAgents[this.agentIdentifier]?.api,delete r.initializedAgents[this.agentIdentifier]?.[t],delete this.sharedAggregator,r.ee?.abort(),delete r.ee?.get(this.agentIdentifier),!1}}}({features:[J,m,S,class extends h{static featureName=oe;constructor(t,r){if(super(t,r,oe,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;const n=this.ee;let i;(0,k.QU)(n),this.eventsEE=(0,k.em)(n),this.eventsEE.on(se,(function(e,t){this.bstStart=(0,p.z)()})),this.eventsEE.on(ae,(function(t,r){(0,s.p)("bst",[t[0],r,this.bstStart,(0,p.z)()],void 0,e.D.sessionTrace,n)})),n.on(ce+ne,(function(e){this.time=(0,p.z)(),this.startPath=location.pathname+location.hash})),n.on(ce+ie,(function(t){(0,s.p)("bstHist",[location.pathname+location.hash,this.startPath,this.time],void 0,e.D.sessionTrace,n)}));try{i=new PerformanceObserver((t=>{const r=t.getEntries();(0,s.p)(te,[r],void 0,e.D.sessionTrace,n)})),i.observe({type:re,buffered:!0})}catch(e){}this.importAggregator({resourceObserver:i})}},C,xe,B,class extends h{static featureName=de;constructor(e,r){if(super(e,r,de,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;if(!(0,t.OP)(e).xhrWrappable)return;try{this.removeOnAbort=new AbortController}catch(e){}let n,i=0;const o=this.ee.get("tracer"),a=(0,k._L)(this.ee),s=(0,k.Lg)(this.ee),u=(0,k.BV)(this.ee),d=(0,k.Kf)(this.ee),f=this.ee.get("events"),l=(0,k.u5)(this.ee),h=(0,k.QU)(this.ee),g=(0,k.Gm)(this.ee);function m(e,t){h.emit("newURL",[""+window.location,t])}function v(){i++,n=window.location.hash,this[ve]=(0,p.z)()}function b(){i--,window.location.hash!==n&&m(0,!0);var e=(0,p.z)();this[pe]=~~this[pe]+e-this[ve],this[ye]=e}function y(e,t){e.on(t,(function(){this[t]=(0,p.z)()}))}this.ee.on(ve,v),s.on(be,v),a.on(be,v),this.ee.on(ye,b),s.on(ge,b),a.on(ge,b),this.ee.buffer([ve,ye,"xhr-resolved"],this.featureName),f.buffer([ve],this.featureName),u.buffer(["setTimeout"+le,"clearTimeout"+fe,ve],this.featureName),d.buffer([ve,"new-xhr","send-xhr"+fe],this.featureName),l.buffer([me+fe,me+"-done",me+he+fe,me+he+le],this.featureName),h.buffer(["newURL"],this.featureName),g.buffer([ve],this.featureName),s.buffer(["propagate",be,ge,"executor-err","resolve"+fe],this.featureName),o.buffer([ve,"no-"+ve],this.featureName),a.buffer(["new-jsonp","cb-start","jsonp-error","jsonp-end"],this.featureName),y(l,me+fe),y(l,me+"-done"),y(a,"new-jsonp"),y(a,"jsonp-end"),y(a,"cb-start"),h.on("pushState-end",m),h.on("replaceState-end",m),window.addEventListener("hashchange",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("load",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("popstate",(function(){m(0,i>1)}),(0,O.m$)(!0,this.removeOnAbort?.signal)),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}}],loaderType:"spa"})})(),window.NRBA=o})(); const cookieDomain = window.location.hostname; const tld = buildTLD(); function buildTLD() { const domainParts = cookieDomain.split('.'); while (domainParts.length > 2) { domainParts.shift(); } return domainParts.join('.'); } function deleteCookie(cookieName) { if (!cookieName) { return; } const cookiePath = (cookieName.startsWith('retraction_warning_') || cookieName.startsWith('version_warning_')) ? '/articles/' + cookieName : '/'; // Yes, these three slightly different ways to try and remove cookies are necessary document.cookie = cookieName + '=; path=' + cookiePath + '; domain=' + cookieDomain + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; document.cookie = cookieName + '=; path=' + cookiePath + '; domain=.' + tld + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; document.cookie = cookieName + '=; path=' + cookiePath + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; } function deleteGroupCookies(group) { if (!group) { return; } const domainData = OneTrust.GetDomainData(), cookies = domainData.Groups.filter(cookieGroup => cookieGroup.OptanonGroupId === group)[0].Cookies; cookies.forEach(cookie => deleteCookie(cookie.Name)); } function OptanonWrapper() { const cookieConsentGroups = []; for (group of OneTrust.GetDomainData().Groups) { cookieConsentGroups.push(group.OptanonGroupId); } OneTrust.OnConsentChanged(function(e) { const cookieConsentActiveGroups = OnetrustActiveGroups.split(',').filter(activeGroup => activeGroup); cookieConsentGroups.forEach(group => { if (!cookieConsentActiveGroups.includes(group)) { deleteGroupCookies(group); }; }); }); } window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://hrbopenresearch.org/js/vendor/ckeditor/' window.reactTheme = 'HRB'; window.MathJax = { CommonHTML: { linebreaks: { automatic: true } }, 'HTML-CSS': { linebreaks: { automatic: true } }, SVG: { linebreaks: { automatic: true } }, AuthorInit: function() { MathJax.Hub.Register.MessageHook('End Process', function () { let timeout = false; // holder for timeout id const delay = 250; // delay after event is "complete" to run callback const reflowMath = function() { const dispFormulas = document.querySelectorAll('.disp-formula.panel'); if (!dispFormulas) { return; } for (const dispFormula of dispFormulas) { const child = dispFormula.querySelector('.MathJax_Preview').nextSibling.firstChild; const isMultiline = MathJax.Hub.getAllJax(dispFormula)[0].root.isMultiline; if (dispFormula.offsetWidth < child.offsetWidth || isMultiline) { MathJax.Hub.Queue(['Rerender', MathJax.Hub, dispFormula]); } } }; window.addEventListener('resize', function() { clearTimeout(timeout); // clear the timeout timeout = setTimeout(reflowMath, delay); // start timing for event "completion" }); }); }, }; if (window.location.hash == '#_=_'){ window.location = window.location.href.split('#')[0] } !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function() {n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)} ;if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, document,'script','https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1641728616063202'); fbq('track', "PixelInitialized", {}); Skip to content HRB Open Research file_upload Submit your research search clear search menu close clear Search Browse Gateways & Collections How to Publish Submit your Research My Submissions Article Guidelines Article Guidelines (New Versions) Data Guidelines Prepublication Checks Production Process Article Processing Charges Finding Article Reviewers About How it Works For Reviewers National Steering Group Policies Glossary FAQs Contact Blog My Account Submissions Content and Tracking Alerts My Details Sign In file_upload Submit your research { "@context": "https://schema.org", "@type": "ScholarlyArticle", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://hrbopenresearch.org/articles/9-52" }, "headline": "Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized...", "datePublished": "2026-05-15T07:22:16", "dateModified": "2026-05-15T07:22:16", "author": [ { "@type": "Person", "name": "Morgan Lewis" }, { "@type": "Person", "name": "Conor C. Carey" }, { "@type": "Person", "name": "Kevin D. Cashman" }, { "@type": "Person", "name": "Alice Lucey" }, { "@type": "Person", "name": "Elaine K. McCarthy" } ], "publisher": { "@type": "Organization", "name": "HRB Open Research", "logo": { "@type": "ImageObject", "url": "https://hrbopenresearch.org/img/AMP/HRB_image.png", "height": 566, "width": 60 } }, "image": { "@type": "ImageObject", "url": "https://hrbopenresearch.org/img/AMP/HRB_image.png", "height": 1200, "width": 127 }, "description": " Background Red meats such as lean beef can be an important source of dietary protein, however, high-quality evidence on its role in stimulating the muscle protein synthetic response and potentially augmenting adaptations to resistance exercise (RTEX) is scarce. Methods A 12-week, 3-arm parallel, single-blinded, randomized controlled trial (RCT) will be conducted to assess the impact of combined lean beef ingestion and RTEX on chronic RTEX adaptations. Seventy-two male and female, non-resistance trained, healthy adults aged 18–35 years will be recruited based on a power calculation which includes an anticipated dropout rate of 20%. All participants will engage in a standardized whole-body RTEX training program 3 days per week and will ingest either i) 30 g protein from beef rump steak, ii) 30 g protein from whey powder, or iii) an isoenergetic maltodextrin control after each session. Leg extension and flexion isokinetic strength, lean tissue accretion and fat mass changes will be the primary outcomes assessed before and after the 12-week intervention. Secondary outcomes assessed will include micronutrient status, countermovement jump height, blood pressure, satiety, feasibility and sensory acceptability of the interventions. Within and between group temporal differences will be analysed using SPSS. Dissemination The study’s findings will be published in peer reviewed journals and disseminated through presentations at academic conferences, social media and public forums. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://hrbopenresearch.org/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://hrbopenresearch.org/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://hrbopenresearch.org/articles/9-52", "name": "Effects of lean beef on resistance training-induced strength and body..." } } ] } Home Browse Effects of lean beef on resistance training-induced strength and body... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Lewis M, Carey CC, Cashman KD et al. Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized controlled trial protocol. [version 1; peer review: awaiting peer review] . HRB Open Res 2026, 9 :52 ( https://doi.org/10.12688/hrbopenres.14434.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Study Protocol Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized controlled trial protocol. [version 1; peer review: awaiting peer review] Morgan Lewis https://orcid.org/0009-0007-2983-3945 1 , Conor C. Carey 1 , Kevin D. Cashman 1 , Alice Lucey 1 , Elaine K. McCarthy 1,2 Morgan Lewis https://orcid.org/0009-0007-2983-3945 1 , Conor C. Carey 1 , [...] Kevin D. Cashman 1 , Alice Lucey 1 , Elaine K. McCarthy 1,2 PUBLISHED 15 May 2026 Author details Author details 1 School of Food and Nutritional Sciences, University College Cork, Cork, County Cork, Ireland 2 INFANT Research Centre, University College Cork, Cork, County Cork, Ireland Morgan Lewis Roles: Methodology, Writing – Original Draft Preparation, Writing – Review & Editing Conor C. Carey Roles: Conceptualization, Methodology, Writing – Original Draft Preparation, Writing – Review & Editing Kevin D. Cashman Roles: Conceptualization, Writing – Review & Editing Alice Lucey Roles: Project Administration, Supervision, Writing – Review & Editing Elaine K. McCarthy Roles: Conceptualization, Methodology, Project Administration, Supervision, Writing – Review & Editing OPEN PEER REVIEW REVIEWER STATUS AWAITING PEER REVIEW Abstract Background Red meats such as lean beef can be an important source of dietary protein, however, high-quality evidence on its role in stimulating the muscle protein synthetic response and potentially augmenting adaptations to resistance exercise (RTEX) is scarce. Methods A 12-week, 3-arm parallel, single-blinded, randomized controlled trial (RCT) will be conducted to assess the impact of combined lean beef ingestion and RTEX on chronic RTEX adaptations. Seventy-two male and female, non-resistance trained, healthy adults aged 18–35 years will be recruited based on a power calculation which includes an anticipated dropout rate of 20%. All participants will engage in a standardized whole-body RTEX training program 3 days per week and will ingest either i) 30 g protein from beef rump steak, ii) 30 g protein from whey powder, or iii) an isoenergetic maltodextrin control after each session. Leg extension and flexion isokinetic strength, lean tissue accretion and fat mass changes will be the primary outcomes assessed before and after the 12-week intervention. Secondary outcomes assessed will include micronutrient status, countermovement jump height, blood pressure, satiety, feasibility and sensory acceptability of the interventions. Within and between group temporal differences will be analysed using SPSS. Dissemination The study’s findings will be published in peer reviewed journals and disseminated through presentations at academic conferences, social media and public forums. READ ALL READ LESS Keywords Meat, Wholefood, Protein, Exercise, Training, Muscle, Lean tissue, Fat mass Corresponding Author(s) Elaine K. McCarthy ( [email protected] ) Close Corresponding author: Elaine K. McCarthy Competing interests: No competing interests were disclosed. Grant information: This study was supported by funding through the MTI Technology Centre (grant number MTI KC05). MTI is funded by Enterprise Ireland under the Technology Centre program in collaboration with beef processors Ashbourne Meat Processors, Liffey Meats, Dawn Meats, ABP Food Group and Kepak. The main funding agency and beef processors had no role in the study design, data collection, analysis, or preparation of this manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2026 Lewis M et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Lewis M, Carey CC, Cashman KD et al. Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized controlled trial protocol. [version 1; peer review: awaiting peer review] . HRB Open Res 2026, 9 :52 ( https://doi.org/10.12688/hrbopenres.14434.1 ) First published: 15 May 2026, 9 :52 ( https://doi.org/10.12688/hrbopenres.14434.1 ) Latest published: 15 May 2026, 9 :52 ( https://doi.org/10.12688/hrbopenres.14434.1 ) Introduction Adequate protein intake and resistance exercise (RTEX) together occupy a salient role in the promotion and maintenance of health throughout an adult’s lifespan. 1 – 3 In young adults, RTEX interventions have been shown to improve bone health 4 and mental health outcomes 5 ; reduce the risk of chronic inflammation, 6 type 2 diabetes 7 and cardiovascular disease. 7 , 8 Furthermore, RTEX appears to be the most effective strategy for preventing the loss of muscle mass and strength which occur as part of the natural ageing process. 9 Small reductions (<1% per year) in muscle mass and strength typically occur during the fourth and fifth decades of life; accelerating after the age of 50 with up to 2% of lean tissue and up to 5% of strength lost each year. 9 – 11 These losses contribute to the development of degenerative diseases such as sarcopenia 12 , 13 which in turn effectuate the occurrence of additional adverse health outcomes. 14 The early adoption of RTEX is recommended to help prevent age-related declines in muscle quality and function, 1 while additionally conferring numerous other acute and chronic health benefits. 2 The importance of adequate protein intake for supporting and augmenting RTEX adaptation has been highlighted previously. 3 , 15 In short, greater daily intakes of protein {i.e. above the population reference intake of ~0.8 g/kg/day} 16 lead to increased muscle protein synthesis (MPS) throughout the day helping with the maintenance of old and synthesis of new myofibrillar proteins. 17 – 20 Optimal dietary protein intakes for maintaining or increasing muscle mass and strength are likely between 1.2 and 1.6 g/kg/day depending on factors such as age, habitual physical activity and the physical health status. 21 , 22 It’s worth highlighting that many active adults and athletes still rely on protein supplements to increase their daily protein intake, 23 despite potential health and unintentional doping concerns. 24 While not always convenient, achieving daily protein requirements through whole foods is likely a safer approach and may confer additional benefit for RTEX adaptation beyond protein content. 24 For example, studies suggest that whole eggs may be more effective at stimulating MPS and inducing chronic RTEX adaptations when compared to isonitrogenous egg whites alone. 25 , 26 It therefore seems that the beneficial effects of different wholefood sources of protein on RTEX adaptations may to some degree, depend on the composition (and likely the ratio) of macronutrients, micronutrients and bioactive compounds. 25 , 26 Beef is a promising wholefood source of protein with a favourable composition of essential amino acids, 27 high digestibility 28 and is additionally rich in micronutrients such as bioavailable heme iron. 29 Beef may have a positive effect on muscle strength and body composition changes during RTEX, 30 however, there are few high-quality RCT’s examining the potential of lean beef ingestion to augment chronic RTEX-induced adaptations such as strength and muscle accretion. Some previous studies have shown improvements in strength 31 and body composition 31 , 32 following combined RTEX training and lean beef ingestion, while others report no clear differences. 33 , 34 Notably, neither of the studies reporting improvements in strength and/or lean tissue accretion had a control arm receiving a placebo or isoenergetic control. 31 , 32 Additionally, neither of these studies reported a detailed breakdown of the macro- and micronutrient composition of their nutrition interventions. 31 , 32 This makes accurately replicating these studies more challenging. Finally, the studies carried out in younger adults were generally underpowered and the intervention durations were arguably too short (8 weeks) to identify significant temporal changes within or between groups. 32 , 35 The design and conduct of RCT’s in the field of nutrition invites numerous methodological challenges particularly when investigating whole food interventions. 36 Resultantly, it is significantly more difficult to plan and run high-quality RCT’s without notable limitations. This is reflected in the previous RCT’s investigating the role of lean beef for enhancing RTEX adaptation in young adults which were inadequately powered, short in duration, without the presence of isoenergetic/isonitrogenous control groups and failed to report compositional data on the nutrition interventions utilised. The aim of this proposed study therefore, is to conduct a high-quality RCT examining the impact of lean beef ingestion on RTEX induced strength and body composition adaptations. Materials and methods A 12-week, 3-arm, parallel randomized controlled trial evaluating the impact of lean beef ingestion on adaptations to RTEX will be carried out. The trial will be conducted at the Human Nutrition Studies Unit, University College Cork, Cork, Ireland. This trial will be conducted in accordance with the ethical standards set forth in the Declaration of Helsinki and has received ethical approval from the Clinical Research Ethics Committee of the Cork Teaching Hospitals; authorization number: ECM 4 (h) 02/07/2024 & ECM 5 7 02/07/2023 & ECM 3 (lll) 04/02/2025. The trial was also preregistered with ClinicalTrials.gov (Reference Number: NCT06739408 ; date of initial release: 11/25/2024; https://clinicaltrials.gov/study/NCT06739408 ) and will be monitored by the UCC Sponsor’s Office, University College Cork, Ireland. Participants Participants will be recruited primarily from University College Cork and the surrounding area using a variety of recruitment methods. Paid social media advertisements on Facebook and Instagram (Meta business suite), word of mouth, poster advertisements and university-wide email lists will be the primary recruitment method. Eligibility criteria Inclusion criteria will include : (a) 18 to 35 years old, (b) never engaged in resistance training consistently (at least once a week) for a period of 6 months or more, (c) willing to provide written informed consent to participate, (d) not taking any protein or performance/recovery enhancing supplements including protein supplements, branched chain amino acids, individual amino acids (such as glutamine or arginine), caffeine, creatine (any form), β-alanine and β-Hydroxy β-methylbutyric acid. Data on participant supplement usage will be collected in the study screening questionnaire. Where a participant noted consuming a supplement that has the potential to confer a performance-enhancing benefit, 37 they will be requested to cease usage for the duration of the study, unless medically prescribed. Other non-medically prescribed supplements reported will be assessed on a case-by-case basis. Exclusion criteria will include : (a) Any notable health concern or disability which may conceivably increase risk to the participant and/or affect outcomes, (b) is a smoker, (d) is pregnant or planning to become pregnant during the study period, (f ) has a food allergy or intolerance that may place participant at risk to consume any of the study treatments, (g) is post-menopausal or currently undergoing menopause, (h) follows a vegetarian or meat-avoidant diet or otherwise unwilling to consume meat or dairy. Randomization and blinding Participants will be randomized to one of three groups at a ratio of 1:1:1 using a block randomization protocol generated (by an individual otherwise not involved in the study) using the www.sealedenvelope.com established platform/website. This randomization protocol will stratify participants by sex and incorporate three levels of block size; 6, 9 and 12. Outcome assessors and data analysts will be fully blinded. While attempts will be made to keep all participants blinded, it is notable that those consuming the lean beef will likely be aware that they are due to the nature of the product. They will, however, not be aware that the lean beef is the experimental protein source or the nature of the other trial arms prescribed. The random allocation sequence will only be available to a member of the research team not involved in the assessment of outcomes or data analysis. The unblinding of assessors and data analysts will not be permissible; participants will be unblinded only once their involvement in the study has concluded or in the event of an adverse event necessitating unblinding. Participant consent Written informed consent will be obtained for all participants (prior to commencing any study procedures) by an appropriately trained member of the research team. Participants will be provided with a comprehensive verbal and written explanation of the study and invited to ask any questions they have before providing their consent. Changes to the trial protocol, study objectives, design, population, sample sizes, or procedures, will be approved by the Clinical Research Ethics Commission of the Cork Teaching Hospitals prior to implementation and explained to participants where applicable. Sample size To determine the required sample size for this study, a power analysis was conducted using G*Power software (3.1.9.7). 38 A repeated measure, within-between interaction, analysis of variance (ANOVA) was used to estimate the necessary sample size. An effect size of 0.2 was derived from a previously published meta-analysis 30 which examined the effects of beef protein supplementation on resistance training adaptations in lower limb muscle strength. Based on the effect size of 0.2, the sample size required to detect changes in lower limb muscle strength with 90% power at p ≤ 0.05 significance level was 19 per group (57 total across the 3 groups). Accounting for a dropout rate of approximately 20%, this study will therefore aim to recruit 72 participants. Study arms Each of the study groups will engage in the same resistance exercise program for a 12-week period. Additionally, participants will be randomly assigned to consume either (i) 30 g of protein from beef rump steak, (ii) 30 g of protein from whey protein powder (Kinetica Sports Whey protein, batch number: 24222; mixed with approximately 350 ml water), or (iii) an isocaloric maltodextrin control (Tereos Maldex190, Batch number: F3M153760; mixed with approximately 350 ml water). Each participant will consume one serving of their respective nutritional intervention within 60 minutes following each of the three weekly resistance exercise sessions (3 servings per week in total). Participants will be asked to avoid protein-fortified foods for the duration of the study; defined as ‘any food or beverage where additional protein has been added during the manufacturing process to increase the total amount of protein beyond what would be typical’. To ensure compliance with the nutritional intervention, participants will fill out a compliance sheet to log all doses taken and missed. Additionally, empty packaging will be collected from participants periodically and any remaining powder they haven’t consumed will be weighed. A minimum of 80% compliance with the nutritional intervention will be required for inclusion in any final analyses. Study design The study will be conducted over three phases (shown in Figure 1 ): Figure 1. SPIRIT diagram of study timeline. *Time-points of the protocol: -t 1 , enrolment; t 0 , baseline; t 1 , intervention week 1; t 12 , intervention week 12; t x , endpoint. RTEX, resistance exercise ; BIA, bioelectrical impedance analysis ; CMJ, Countermovement Jump. Phase 1: A one-week period where the study’s baseline visit will be conducted with assessments as outlined in Figure 1 . On a separate day, participants will attend a resistance exercise familiarization visit. A 3-day weighed food diary will also be completed during this week. Phase 2: A 12-week intervention period where participants will engage in resistance training three days per week and consume their assigned study treatment on each of these three days only. During week 12 of the intervention period satiety and sensory outcomes will be measured and dietary intake will be reassessed. Phase 3: A one-week post intervention period during which all measures taken during phase one will be repeated apart from the dietary intake assessment during the study’s endpoint visit. Resistance training intervention The American College of Sports Medicine guidelines 39 for resistance exercise in novice weightlifters were used to determine the frequency, intensity, time and type of exercise. Participants will undertake three weekly sessions for a total of 12 weeks. Participants will be instructed to complete 5 minutes of light aerobic exercise of their choosing on a treadmill, stationary bicycle or cross-trainer (corresponding to an intensity of between 3 and 5 on a 10-point RPE scale) as an initial warm up prior to every session. All sessions will include three sets of the same 7 machine-based resistance exercises focusing on the major muscle groups: leg press, leg extension, leg curl, shoulder press, seated row, chest press, and lateral pulldown. The initially prescribed weight for each exercise will be determined during the participants’ familiarization visit, which will be supervised by a qualified strength and conditioning coach. The participant will be prescribed a weight that they can lift for 8 repetitions with good technique for 3 sets with approximately 90 seconds rest in between. The number of repetitions will be increased every 4 weeks from 8 to 10 to 12. As the participant progresses and gets stronger, they will be advised to increase the weight being lifted for each exercise by 2–10% where necessary to ensure the working intensity remains in the 70–85% of 1RM range as recommended. 39 Participants will have access to their own personalized training program through the Teambuildr platform (Teambuildr, LLC); which will allow a member of the research team to upload each participants program, monitor their progress and record their exercise session compliance (in addition to sign-in sheet at the gym). Aside from the initial familiarisation session, other exercise sessions will not be supervised although qualified staff will be present to assist if needed. A minimum of 80% compliance with the resistance training program will be required for inclusion in any final analyses. Participants will be asked not to engage in any resistance exercise outside of the study; they may engage in aerobic exercise such as walking or cycling. Primary outcomes Isokinetic muscle strength Isokinetic lower limb strength will be measured using an isokinetic dynamometer (Biodex system 3 pro) by a qualified exercise physiologist in a laboratory setting. 40 The protocol will assess unilateral knee extension and flexion strength in the dominant leg only. The isokinetic strength test will be carried out following a standardized 5-minute warm up on a stationary bike. A warmup on the isokinetic dynamometer will also be performed involving 10 repetitions at increasing intensity from 10–100%. Following this the participants will complete 3 sets of 3 repetitions (at maximum voluntary contraction) of knee extension and flexion at a fixed angular velocity of 60 degrees per second. Body composition Multi-frequency bioelectrical impedance analysis (Fresenius Medical Care Body Composition Monitor 2BJA2481) will be used to assess changes in fat mass and fat-free mass from baseline to endpoint. Participants will be instructed to refrain from consuming caffeine for 12 hours and alcohol 24 hours before the measurement. They will also be instructed to avoid vigorous physical activity for at least 8 hours prior to the test and not to eat or drink within 4 hours prior to the test. Secondary outcomes Body fat percentage A 4-site skinfold measurement will be assessed by an experienced researcher with expertise in antropometric assessment and using a standardized approach. 41 Body fat percentage will be predicted from the 4-sites using the Durnin and Womersley equation. 42 Countermovement jump height Maximum vertical jump height will be recorded using the Leonardo Mechanograph force plates (Leonardo Mechanograph GRFP STD). 43 A standardized warmup consisting of 5 minutes cycling on a stationary bike (at an RPE of 11–13 on the Borg scale 44 ) followed by 6–10 practice jumps will be completed. Once the correct technique has been established, a minimum of 3 maximum jump efforts will be recorded with 60 seconds rest between each effort. Blood pressure Following a period of rest, blood pressure will be measured at baseline and endpoint using a digital blood pressure monitor (Omron M7, Omron Healthcare ltd.). The measurement of blood pressure will allow for the assessment of whether increased red meat consumption increases blood pressure as previous research has speculated it may. 45 Nutritional status A fasted venous blood sample (~20 ml) will be taken at baseline (week 0) and endpoint by a suitably qualified and experienced nurse to measure select biomarkers of micronutrient status, blood lipids and measures of inflammation. The micronutrient status biomarkers to be assessed include serum ferritin, zinc, vitamin B12, vitamin A and 25-hydroxyvitamin D. Blood samples will be processed to serum/plasma within two hours of collection, stored at −80 ∘ C, and analysed in a clinical laboratory using standard techniques. Dietary intake Dietary intake will be assessed using a 3-day weighed food and drink diary during both the baseline visit (week 0) and during the final week of the intervention (week 12) to account for differences in dietary intake. During week 12, assessment will include at least one training day and at least one non-training day. The data will be transferred to Nutritics by a blinded member of the research team who will employ a standardized approach for making decisions when information is missing or incomplete. Routine quality checks will be carried out to ensure data has been correctly entered in Nutritics. Questionnaires Gastrointestinal symptoms will be assessed using the Structured Assessment of Gastrointestinal Symptoms (SAGIS) Questionnaire 46 at baseline and endpoint. Sensory characteristics of study dietary interventions will be assessed using a 9-point hedonic questionnaire that asks participants to rate the appearance, color, flavor, texture, aroma and overall liking of the study treatment product from ‘liked extremely’ to ‘disliked extremely’. Participants will be asked to complete this questionnaire within 30 to 60 minutes after consuming their final serving of the study treatment in week 12 of the intervention. Finally, satiety following ingestion of study interventions will be assessed using the Satiety Labelled Intensity Magnitude (SLIM) questionnaire 47 30–60 minutes after awakening (and before eating) in the morning and again 30–60 minutes following ingestion of the study treatment. Study monitoring, safety and adverse events This study will be subject to audit from the UCC Sponsors Office at the University College Cork to ensure it is being conducted in line with the approved study protocol. Anticipated adverse events may include ligament sprains or muscle strains. To reduce the risk of serious injuries relating to the exercise intervention machine-based exercises which require less familiarization will be prescribed over free weight exercise. 39 Additionally, a qualified strength and conditioning coach will ensure participants have the correct setup and technique for each of the exercises during their familiarization visit. Adverse events related to the nutritional interventions are unlikely as they are all commercially available products. Any adverse events that occur will be recorded in an adverse events log and reported when the study findings are disseminated. If a blood pressure reading is excessively elevated, participants will be advised to visit their medical physician. Data management and analysis The participants pseudonymized data will be entered into a modified Microsoft Excel spreadsheet. This spreadsheet will serve as the study master database, and the final version will be exported to SPSS (IBM Corporation, Version 29.0.2.0) at the end of the trial for data and statistical analysis. Random quality checks will be carried out on manually entered data to minimize the occurrence of errors. A separate sheet linking participants’ names with their ID numbers will be stored on an encrypted server, only accessible by the Principal Investigator of the study. A ‘per protocol’ analysis will be carried out on data from participants who are at least 80% compliant with both the RTEX and nutrition intervention. SPSS software will be used to generate descriptive statistics and to examine baseline characteristic differences between each of the groups. Additionally, temporal mean differences within and between group outcomes from baseline to post-intervention will be analysed using t-tests (or Wilcoxon Signed Ranked) and an ANOVA. Post Hoc tests will be performed where appropriate. Compliance with the exercise and nutritional interventions will be monitored throughout the study to minimize missing data. If outcome data for participants is unavailable, the reasons for missing data will be recorded and reported. De-identified participant data will be made available upon request following publication of the study findings. Trial status The study commenced on the 21 st of January 2025 and will conclude in October 2025. Discussion The whole food matrix may have the potential to amplify RTEX adaptations beyond that of isolated protein sources alone. 25 , 26 To date, however, high-quality RCT’s in this area have been lacking. The present RCT is designed to provide evidence as to whether lean beef is an effective nutritional intervention for augmenting adaptations to RTEX in young healthy adults. This study will also aim to address some of the more notable limitations in previous studies, namely the lack of placebo/energy-matched control groups, under reporting of the macro- and micronutrient compositional data for the nutrition interventions, short treatment periods (8 weeks) and inadequate sample sizes. 32 , 35 Trials without an active control group are generally considered to provide only weak evidence as it’s not possible to conclude that any effect observed would not have occurred in lieu of the intervention. 48 The proposed study will have two control conditions: one group receiving an isocaloric, isonitrogenous intervention (whey protein) and the other receiving an isocaloric intervention (maltodextrin). Having an isonitrogenous control will enable this study to examine whether the specific source of protein impacts adaptation to RTEX or if protein affects adaptation equally irrespective of source. Additionally, having an isocaloric control without protein allows investigation of whether any potential adaptations which occur are as a result of the RTEX and slightly increased energy intake independent of protein content. This will be a strength of this study compared to previous research. Furthermore, the current study will measure and report a detailed compositional breakdown of the nutrition interventions that will be given to participants. This will include the content of macronutrients and key micronutrients including calcium, potassium, phosphorus, iron, zinc and vitamins B6, B12, D3. There is potential for co-ingested nutrients to interact with each other and confer additional benefit to MPS 25 and long term RTEX adaptations 26 , 49 beyond what is expected from isolated protein sources alone. Therefore, understanding the complete nutrient profile of the nutrition interventions will provide important context that may contribute to our understanding of nutrient-nutrient interactions within wholefood sources. Additionally, understanding precisely what was administered to the experimental group in these studies is essential for any researchers attempting to replicate the study. This is an important issue in sports science research broadly speaking as only 28% of findings from studies in the field appear to be reproducible. 50 The current study will implement a 12-week intervention which is longer than the 8-week interventions that have been previously employed in studies on young adults. 32 , 35 Lean tissue accretion is a long-term adaptation to RTEX which occurs very gradually. 51 Therefore, it’s likely that a longer timeframe is required to achieve measurable outcomes, especially when aiming to identify potentially small differences between groups. This is particularly true when dealing with participants who don’t have previous RTEX experience as lean tissue accretion is almost non-existent in the early stages of RTEX. 51 Finally, this study also aims to recruit more participants than have been included in previous studies. The average sample size for previous studies examining the benefit of beef supplementation on RTEX adaptation in young adults (35 and under) was 12 participants per group. 30 Our sample size calculation suggests that at least 19 participants per group is necessary to adequately power statistical analysis. We will actively aim to recruit a minimum of 72 participants in total with the goal of achieving a final sample of 19 or more in each of the 3 groups. Sample size calculations have often not been employed in sports nutrition research which has contributed to the under-powering of many studies, 52 , 53 making results less reliable and contributing to a much larger issue around replication. 50 , 54 , 55 Although all assessors and data analysts will be blinded to which nutritional intervention each participant is receiving, it is likely that the intervention group receiving the lean beef will be aware of what they are consuming due to the nature of the product. This is an unavoidable limitation of this type of research using wholefood products. To minimize the risk of bias, participants will not be informed of what any of the intervention products are, only that the study is investigating the impact of different sources of protein on adaptation from RTEX. Participants will also not be informed which group they are assigned to and will be asked not to discuss their nutritional product with anyone. The distribution of the nutrition interventions will be carried out by a member of staff not involved in the assessment of outcomes or analysis of data. While dietary habits will be monitored at baseline and during the intervention itself using 3-day weighed food diaries, it’s notable that there may be significant variability between and within individual participants diets. Participants will be encouraged to maintain their usual diet throughout the study including during the 3-day food diary measurements to reduce the likelihood that radical changes in diet may affect outcomes. This approach, however, won’t control for the potential of whole food matrices within the participants habitual diet to interact with each other and the nutrition intervention, conceivably affecting the outcomes of the study. This is a limitation of the study design that must be taken into consideration when interpreting the results. Dissemination plans The findings of the study will be published in peer-reviewed journals once the trial is complete and results generated. Findings will also be presented at conferences and made accessible to the public through social media posts and forums. Study termination All amendments to the study protocol will be first approved by the relevant ethics committee prior to implementation. Amendments will also be reflected in the corresponding Clinicaltrials.gov registration. The study may be terminated prematurely if any of the procedures pose unacceptable risk to participants. The decision to terminate the study will be made by the Principal Investigator in consultation with the research team and, where appropriate, the research ethics committee. Data availability Underlying data No data are associated with this article. Extended data figshare: Pro-Train Randomized Controlled Trial SPIRIT Checklist, https://doi.org/10.6084/m9.figshare.31998312 . 56 The project contains the following extended data: • Supplementary data (completed SPIRIT checklist) Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CCO 1.0 Public domain dedication) . References 1. Naseeb MA, Volpe SL: Protein and exercise in the prevention of sarcopenia and aging. Nutr. Res. 2017; 40 : 1–20. Publisher Full Text 2. Wolfe RR: The underappreciated role of muscle in health and disease. Am. J. Clin. Nutr. 2006; 84 : 475–482. PubMed Abstract | Publisher Full Text 3. Hou L, Lei Y, Li X, et al. : Effect of Protein Supplementation Combined With Resistance Training on Muscle Mass, Strength and Function in the Elderly: A Systematic Review and Meta-Analysis. J. Nutr. Health Aging. 2019; 23 : 451–458. PubMed Abstract | Publisher Full Text | Free Full Text 4. Hong AR, Kim SW: Effects of Resistance Exercise on Bone Health. Endocrinol Metab Seoul Korea. 2018; 33 : 435–444. PubMed Abstract | Publisher Full Text | Free Full Text 5. Marinelli R, Parker AG, Levinger I, et al. : Resistance training and combined resistance and aerobic training as a treatment of depression and anxiety symptoms in young people: A systematic review and meta-analysis. Early Interv. Psychiatry. 2024; 18 : 585–598. PubMed Abstract | Publisher Full Text 6. Rose GL, Mielke GI, Durr M, et al. : Effect of resistance training on chronic inflammation: A systematic review and meta-analysis. Transl SPORTS Med. 2021; 4 : 900–913. Publisher Full Text 7. Westcott WL: Resistance Training is Medicine: Effects of Strength Training on Health. Curr. Sports Med. Rep. 2012; 11 : 209–216. Publisher Full Text 8. El-Kotob R, Ponzano M, Chaput J-P, et al. : Resistance training and health in adults: an overview of systematic reviews. Appl. Physiol. Nutr. Metab. 2020; 45 : S165–S179. PubMed Abstract | Publisher Full Text 9. Gustafsson T, Ulfhake B: Aging Skeletal Muscles: What Are the Mechanisms of Age-Related Loss of Strength and Muscle Mass, and Can We Impede Its Development and Progression?. Int. J. Mol. Sci. 2024; 25 : 10932. PubMed Abstract | Publisher Full Text | Free Full Text 10. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. : Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019; 48 : 16–31. PubMed Abstract | Publisher Full Text | Free Full Text 11. Keller K, Engelhardt M: Strength and muscle mass loss with aging process. Age and strength loss. Muscles Ligaments Tendons J. 2014; 3 : 346–350. PubMed Abstract | Publisher Full Text 12. Ageing Europe - statistics on population developments. (accessed July 2025). Reference Source 13. Ethgen O, Beaudart C, Buckinx F, et al. : The Future Prevalence of Sarcopenia in Europe: A Claim for Public Health Action. Calcif. Tissue Int. 2017; 100 : 229–234. PubMed Abstract | Publisher Full Text | Free Full Text 14. Cruz-Jentoft AJ, Sayer AA: Sarcopenia. Lancet. 2019; 393 : 2636–2646. Publisher Full Text 15. 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 in healthy adults. Br. J. Sports Med. 2018; 52 : 376–384. PubMed Abstract | Publisher Full Text | Free Full Text 16. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA): Scientific Opinion on Dietary Reference Values for protein. EFSA J. 2012; 10 : 2557. Publisher Full Text 17. Witard OC, Bannock L, Tipton KD: Making Sense of Muscle Protein Synthesis: A Focus on Muscle Growth During Resistance Training. Int. J. Sport Nutr. Exerc. Metab. 2021; 32 : 49–61. Publisher Full Text 18. Damas F, Libardi CA, Ugrinowitsch C: The development of skeletal muscle hypertrophy through resistance training: the role of muscle damage and muscle protein synthesis. Eur. J. Appl. Physiol. 2018; 118 : 485–500. PubMed Abstract | Publisher Full Text 19. Tipton KD, Hamilton DL, Gallagher IJ: Assessing the Role of Muscle Protein Breakdown in Response to Nutrition and Exercise in Humans. Sports Med Auckl NZ. 2018; 48 : 53–64. PubMed Abstract | Publisher Full Text | Free Full Text 20. Phillips SM: A brief review of critical processes in exercise-induced muscular hypertrophy. Sports Med Auckl NZ. 2014; 44 Suppl 1 : 71–77. Publisher Full Text 21. Phillips SM, Chevalier S, Leidy HJ: Protein “requirements” beyond the RDA: implications for optimizing health. Appl. Physiol. Nutr. Metab. 2016; 41 : 565–572. PubMed Abstract | Publisher Full Text 22. Phillips SM, Loon LJCV: Dietary protein for athletes: From requirements to optimum adaptation. Food, Nutrition and Sports Performance III. Routledge; 2013. 23. Knapik JJ, Steelman RA, Hoedebecke SS, et al. : Prevalence of Dietary Supplement Use by Athletes: Systematic Review and Meta-Analysis. Sports Med. 2016; 46 : 103–123. Publisher Full Text 24. Close GL, Kasper AM, Walsh NP, et al. : “Food First but Not Always Food Only”: Recommendations for Using Dietary Supplements in Sport. Int. J. Sport Nutr. Exerc. Metab. 2022; 32 : 371–386. Publisher Full Text 25. van Vliet S , Shy EL, Abou Sawan S, et al. : Consumption of whole eggs promotes greater stimulation of postexercise muscle protein synthesis than consumption of isonitrogenous amounts of egg whites in young men. Am. J. Clin. Nutr. 2017; 106 : 1401–1412. Publisher Full Text 26. Bagheri R, Hooshmand Moghadam B, Ashtary-Larky D, et al. : Whole Egg Vs. Egg White Ingestion During 12 weeks of Resistance Training in Trained Young Males: A Randomized Controlled Trial. J. Strength Cond. Res. 2021; 35 : 411–419. PubMed Abstract | Publisher Full Text 27. Jäger R, Kerksick CM, Campbell BI, et al. : International Society of Sports Nutrition Position Stand: protein and exercise. J. Int. Soc. Sports Nutr. 2017; 14 : 20. PubMed Abstract | Publisher Full Text | Free Full Text 28. Ajomiwe N, Boland M, Phongthai S, et al. : Protein Nutrition: Understanding Structure, Digestibility, and Bioavailability for Optimal Health. Foods. 2024; 13 : 1771. PubMed Abstract | Publisher Full Text | Free Full Text 29. di Corcia M , Tartaglia N, Polito R, et al. : Functional Properties of Meat in Athletes’ Performance and Recovery. Int. J. Environ. Res. Public Health. 2022; 19 : 5145. PubMed Abstract | Publisher Full Text | Free Full Text 30. Valenzuela PL, Mata F, Morales JS, et al. : Does Beef Protein Supplementation Improve Body Composition and Exercise Performance? A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Nutrients. 2019; 11 : 1429. PubMed Abstract | Publisher Full Text | Free Full Text 31. Daly RM, O’Connell SL, Mundell NL, et al. : Protein-enriched diet, with the use of lean red meat, combined with progressive resistance training enhances lean tissue mass and muscle strength and reduces circulating IL-6 concentrations in elderly women: a cluster randomized controlled trial. Am. J. Clin. Nutr. 2014; 99 : 899–910. PubMed Abstract | Publisher Full Text 32. Negro M, Vandoni M, Ottobrini S, et al. : Protein supplementation with low fat meat after resistance training: effects on body composition and strength. Nutrients. 2014; 6 : 3040–3049. PubMed Abstract | Publisher Full Text | Free Full Text 33. Formica MB, Gianoudis J, Nowson CA, et al. : Effect of lean red meat combined with a multicomponent exercise program on muscle and cognitive function in older adults: a 6-month randomized controlled trial. Am. J. Clin. Nutr. 2020; 112 : 113–128. PubMed Abstract | Publisher Full Text 34. Carroll CC, Campbell NW, Lewis RL, et al. : Greater Protein Intake Emphasizing Lean Beef Does Not Affect Resistance Training-Induced Adaptations in Skeletal Muscle and Tendon of Older Women: A Randomized Controlled Feeding Trial. J. Nutr. 2024; 154 : 1803–1814. Publisher Full Text 35. Burke D, Johnson J, Vukovich M, et al. : Effects of Lean Beef Supplementation on Iron Status, Body Composition and Performance of Collegiate Distance Runners. Food Nutr. Sci. 2012; 3 . 36. Weaver CM, Miller JW: Challenges in conducting clinical nutrition research. Nutr. Rev. 2017; 75 : 491–499. PubMed Abstract | Publisher Full Text | Free Full Text 37. Maughan RJ, Burke LM, Dvorak J, et al. : IOC consensus statement: dietary supplements and the high-performance athlete. Br. J. Sports Med. 2018; 52 : 439–455. PubMed Abstract | Publisher Full Text | Free Full Text 38. Erdfelder E, Faul F, Buchner A: GPOWER: A general power analysis program. Behav. Res. Methods Instrum. Comput. 1996; 28 : 1–11. Publisher Full Text 39. American College of Sports Medicine: American College of Sports Medicine position stand. Progression models in resistance training for healthy adults. Med. Sci. Sports Exerc. 2009; 41 : 687–708. 40. Drouin JM, Valovich-mcLeod TC, Shultz SJ, et al. : Reliability and validity of the Biodex system 3 pro isokinetic dynamometer velocity, torque and position measurements. Eur. J. Appl. Physiol. 2004; 91 : 22–29. PubMed Abstract | Publisher Full Text 41. Norton KI: Standards for Anthropometry Assessment. Kinanthropometry and Exercise Physiology. Routledge; 4th ed.2018. Publisher Full Text 42. Durnin JV, Womersley J: Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br. J. Nutr. 1974; 32 : 77–97. Publisher Full Text 43. Matheson LA, Duffy S, Maroof A, et al. : Intra- and inter-rater reliability of jumping mechanography muscle function assessments. J. Musculoskelet. Neuronal Interact. 2013; 13 : 480–486. PubMed Abstract 44. Borg GA: Psychophysical bases of perceived exertion. Med. Sci. Sports Exerc. 1982; 14 : 377–381. PubMed Abstract | Publisher Full Text 45. Allen TS, Bhatia HS, Wood AC, et al. : State-of-the-Art Review: Evidence on Red Meat Consumption and Hypertension Outcomes. Am. J. Hypertens. 2022; 35 : 679–687. PubMed Abstract | Publisher Full Text | Free Full Text 46. Koloski NA, Jones M, Hammer J, et al. : The Validity of a New Structured Assessment of Gastrointestinal Symptoms Scale (SAGIS) for Evaluating Symptoms in the Clinical Setting. Dig. Dis. Sci. 2017; 62 : 1913–1922. PubMed Abstract | Publisher Full Text 47. Cardello AV, Schutz HG, Lesher LL, et al. : Development and testing of a labeled magnitude scale of perceived satiety. Appetite. 2005; 44 : 1–13. PubMed Abstract | Publisher Full Text 48. Saccà L: The uncontrolled clinical trial: scientific, ethical, and practical reasons for being. Intern. Emerg. Med. 2010; 5 : 201–204. PubMed Abstract | Publisher Full Text 49. Burd NA, Beals JW, Martinez IG, et al. : Food-First Approach to Enhance the Regulation of Post-exercise Skeletal Muscle Protein Synthesis and Remodeling. Sports Med. 2019; 49 : 59–68. Publisher Full Text 50. Murphy J, Caldwell AR, Warne JP: Reflections on Conducting a Large Replication Project in Sports and Exercise Science. Sports Med. 2025; 55 : 2365–2374. PubMed Abstract | Publisher Full Text | Free Full Text 51. Schoenfeld BJ: The mechanisms of muscle hypertrophy and their application to resistance training. J. Strength Cond. Res. 2010; 24 : 2857–2872. Publisher Full Text 52. Seabrook JA: How Many Participants Are Needed? Strategies for Calculating Sample Size in Nutrition Research. Can. J. Diet. Pract. Res. 2025; 86 : 48–52. Publisher Full Text 53. Abt G, Boreham C, Davison G, et al. : Power, precision, and sample size estimation in sport and exercise science research. J. Sports Sci. 2020; 38 : 1933–1935. PubMed Abstract | Publisher Full Text 54. Stadelmaier J, Beyerbach J, Roux I, et al. : Evaluating agreement between evidence from randomised controlled trials and cohort studies in nutrition: a meta-research replication study. Eur. J. Epidemiol. 2024; 39 : 363–378. PubMed Abstract | Publisher Full Text | Free Full Text 55. Sale C, Mellor D: A call for replication studies in Nutrition and Health. Nutr. Health. 2018; 24 : 201. Publisher Full Text 56. Lewis M, Carey CC, Lucey A, et al. : Pro-Train Randomized Controlled Trial Spirit Checklist. figshare. 2026. Publisher Full Text Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 15 May 2026 ADD YOUR COMMENT Comment Author details Author details 1 School of Food and Nutritional Sciences, University College Cork, Cork, County Cork, Ireland 2 INFANT Research Centre, University College Cork, Cork, County Cork, Ireland Morgan Lewis Roles: Methodology, Writing – Original Draft Preparation, Writing – Review & Editing Conor C. Carey Roles: Conceptualization, Methodology, Writing – Original Draft Preparation, Writing – Review & Editing Kevin D. Cashman Roles: Conceptualization, Writing – Review & Editing Alice Lucey Roles: Project Administration, Supervision, Writing – Review & Editing Elaine K. McCarthy Roles: Conceptualization, Methodology, Project Administration, Supervision, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information This study was supported by funding through the MTI Technology Centre (grant number MTI KC05). MTI is funded by Enterprise Ireland under the Technology Centre program in collaboration with beef processors Ashbourne Meat Processors, Liffey Meats, Dawn Meats, ABP Food Group and Kepak. The main funding agency and beef processors had no role in the study design, data collection, analysis, or preparation of this manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (1) version 1 Published: 15 May 2026, 9:52 https://doi.org/10.12688/hrbopenres.14434.1 Copyright © 2026 Lewis M et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics VIEWS $counts.viewCount downloads Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Lewis M, Carey CC, Cashman KD et al. Effects of lean beef on resistance training-induced strength and body composition adaptations: a randomized controlled trial protocol. [version 1; peer review: awaiting peer review] . HRB Open Res 2026, 9 :52 ( https://doi.org/10.12688/hrbopenres.14434.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: AWAITING PEER REVIEW AWAITING PEER REVIEW ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 15 May 2026 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status AWAITING PEER REVIEW Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Stay Updated Sign up for content alerts and receive a weekly or monthly email with all newly published articles Register with HRB Open Research Already registered? Sign in Not now, thanks close PLEASE NOTE If you are an AUTHOR of this article, please check that you signed in with the account associated with this article otherwise we cannot automatically identify your role as an author and your comment will be labelled as a “User Comment”. If you are a REVIEWER of this article, please check that you have signed in with the account associated with this article and then go to your account to submit your report, please do not post your review here. If you do not have access to your original account, please contact us . All commenters must hold a formal affiliation as per our Policies . The information that you give us will be displayed next to your comment. User comments must be in English, comprehensible and relevant to the article under discussion. We reserve the right to remove any comments that we consider to be inappropriate, offensive or otherwise in breach of the User Comment Terms and Conditions . Commenters must not use a comment for personal attacks. When criticisms of the article are based on unpublished data, the data should be made available. I accept the User Comment Terms and Conditions Please confirm that you accept the User Comment Terms and Conditions. Affiliation ✕ refresh Please enter your institution. Note: To add your institution or organisation, start typing the name and then select the correct name from the list. Where applicable, the name will appear in both the original language and in English. Do not paste in the name. If the name does not appear in the drop-down list, we will display the information you have entered. ✕ refresh Country/Region * USA UK Canada China France Germany Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo (Serbia and Montenegro) Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Minor Outlying Islands of the United States Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Macedonia Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Is South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand The Gambia The Netherlands Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu UK USA Uganda Ukraine United Arab Emirates United States Virgin Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Western Sahara Yemen Zambia Zimbabwe Please select your country/region. You must enter a comment. Competing Interests Please disclose any competing interests that might be construed to influence your judgment of the article's or peer review report's validity or importance. Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Please state your competing interests The comment has been saved. An error has occurred. Please try again. Cancel Post var lTitle = "Effects of lean beef on resistance training-induced...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://hrbopenresearch.org/articles/9-52/v1" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://hrbopenresearch.org/articles/9-52/v1&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://hrbopenresearch.org/articles/9-52/v1" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('Lewis M et al.'); var offsetTop = /chrome/i.test( navigator.userAgent ) ? 4 : -10; var addthis_config = { ui_offset_top: offsetTop, services_compact : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_expanded : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_custom : [ { name: "LinkedIn", url: linkedInUrl, icon:"/img/icon/at_linkedin.svg" }, { name: "Mendeley", url: "http://www.mendeley.com/import/?url=https://hrbopenresearch.org/articles/9-52/v1/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://hrbopenresearch.org/articles/9-52", templates : { twitter : "Effects of lean beef on resistance training-induced strength.... Lewis M et al., published by " + "@HRBOpenRes" + ", https://hrbopenresearch.org/articles/9-52/v1" } }; if (typeof(addthis) != "undefined"){ addthis.addEventListener('addthis.ready', checkCount); addthis.addEventListener('addthis.menu.share', checkCount); } $(".f1r-shares-twitter").attr("href", "https://twitter.com/intent/tweet?text=" + addthis_share.templates.twitter); $(".f1r-shares-facebook").attr("href", "https://www.facebook.com/sharer/sharer.php?u=" + addthis_share.url); $(".f1r-shares-linkedin").attr("href", addthis_config.services_custom[0].url); $(".f1r-shares-reddit").attr("href", addthis_config.services_custom[2].url); $(".f1r-shares-mendelay").attr("href", addthis_config.services_custom[1].url); function checkCount(){ setTimeout(function(){ $(".addthis_button_expanded").each(function(){ var count = $(this).text(); if (count !== "" && count != "0") $(this).removeClass("is-hidden"); else $(this).addClass("is-hidden"); }); }, 1000); } close How to cite this report {{reportCitation}} Cancel Copy Citation Details $(function(){R.ui.buttonDropdowns('.dropdown-for-downloads');}); $(function(){R.ui.toolbarDropdowns('.toolbar-dropdown-for-downloads');}); $.get("/articles/acj/14434/15904") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "15904"); $(document).ready(function() { $( "#frame1" ).on('load', function() { var mydiv = $(this).contents().find("div"); var h = mydiv.height(); console.log(h) }); var tooltipLivingFigure = jQuery(".interactive-living-figure-label .icon-more-info"), titleLivingFigure = tooltipLivingFigure.attr("title"); tooltipLivingFigure.simpletip({ fixed: true, position: ["-115", "30"], baseClass: 'small-tooltip', content:titleLivingFigure + " " }); tooltipLivingFigure.removeAttr("title"); $("body").on("click", ".cite-living-figure", function(e) { e.preventDefault(); var ref = $(this).attr("data-ref"); $(this).closest(".living-figure-list-container").find("#" + ref).fadeIn(200); }); $("body").on("click", ".close-cite-living-figure", function(e) { e.preventDefault(); $(this).closest(".popup-window-wrapper").fadeOut(200); }); $(document).on("mouseup", function(e) { var metricsContainer = $(".article-metrics-popover-wrapper"); if (!metricsContainer.is(e.target) && metricsContainer.has(e.target).length === 0) { $(".article-metrics-close-button").click(); } }); var articleId = $('#articleId').val(); if($("#main-article-count-box").attachArticleMetrics) { $("#main-article-count-box").attachArticleMetrics(articleId, { articleMetricsView: true }); } }); var figshareWidget = $(".new_figshare_widget"); if (figshareWidget.length > 0) { window.figshare.load("f1000", function(Widget) { // Select a tag/tags defined in your page. In this tag we will place the widget. _.map(figshareWidget, function(el){ var widget = new Widget({ articleId: $(el).attr("figshare_articleId") //height:300 // this is the height of the viewer part. [Default: 550] }); widget.initialize(); // initialize the widget widget.mount(el); // mount it in a tag that's on your page // this will save the widget on the global scope for later use from // your JS scripts. This line is optional. //window.widget = widget; }); }); } close Error Close Add Reset F1000.MICROSERVICES.AFFILIATION = ''; $(document).ready(function () { $('.js-affiliations-form').each((index, form) => { new AffiliationForm({ formId: form.id, institutionErrorSelector: '.comment-enter-institution', departmentErrorSelector: '.comment-enter-department', placeSelector: '.js-add-comment-place', stateSelector: '.js-add-comment-state', zipCodeSelector: '.js-add-comment-zipcode', countrySelector: '.js-add-comment-country', countryErrorSelector: '.comment-enter-country', }); }); }); $(document).ready(function () { var reportIds = { "55472": 0, "55473": 0, "55474": 0, "55475": 0, "55466": 0, "55467": 0, "55468": 0, "55469": 0, "55470": 0, "55471": 0, }; $(".referee-response-container,.js-referee-report").each(function(index, el) { var reportId = $(el).attr("data-reportid"), reportCount = reportIds[reportId] || 0; $(el).find(".comments-count-container,.js-referee-report-views").html(reportCount); }); var uuidInput = $("#article_uuid"), oldUUId = uuidInput.val(), newUUId = "353789b0-3f0d-49b8-b37d-f699996028da"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); Are you a HRB-funded researcher? Submission to HRB Open Research is open to all HRB grantholders or people working on a HRB-funded/co-funded grant on or since 1 January 2017. Sign up for information about developments, publishing and publications from HRB Open Research. First Name * You must provide your first name Last Name * You must provide your last name Email * You must provide a valid email address Institution You must provide an institution. Submit Thank you! We'll keep you updated on any major new updates to HRB Open Research HRB Open Research Browse How to Publish About Contact RSS Cookie Notice Privacy Notice Legal Submit Your Research © F1000 Research Limited and its licensors ISSN 2515-4826 | Legal background var F1000platform = new F1000.Platform({ name: "hrb", displayName: "HRB Open Research", hostName: "hrbopenresearch.org", id: "5", editorialEmail: "[email protected]", infoEmail: "[email protected]" }); Sign In Remember me Forgotten your password? Sign In Cancel Email or password not correct. Please try again Please wait... $(function(){ // Note: All the setup needs to run against a name attribute and *not* the id due the clonish // nature of facebox... $("a[id=googleSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("GOOGLE"); $("form[id=oAuthForm]").submit(); }); $("a[id=facebookSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("FACEBOOK"); $("form[id=oAuthForm]").submit(); }); $("a[id=orcidSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("ORCID"); $("form[id=oAuthForm]").submit(); }); }); If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password. The email address should be the one you originally registered with F1000. Email address not valid, please try again You registered with F1000 via Google, so we cannot reset your password. To sign in, please click here . If you still need help with your Google account password, please click here . You registered with F1000 via Facebook, so we cannot reset your password. To sign in, please click here . If you still need help with your Facebook account password, please click here . Code not correct, please try again Reset password Cancel Email us for further assistance. Server error, please try again. If your email address is registered with us, we will email you instructions to reset your password. If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance. Please wait... Register $(document).ready(function () { signIn.createSignInAsRow($("#sign-in-form-gfb-popup")); $(".target-field").each(function () { var uris = $(this).val().split("/"); if (uris.pop() === "login") { $(this).val(uris.toString().replace(",","/")); } }); }); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fe1de878ff50db4',t:'MTc3OTE4MDc4NQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00