1"use strict";(self["webpackChunkcustomer_portal"]=self["webpackChunkcustomer_portal"]||[]).push([[8434],{30116:function(a,e,t){t.a(a,(async function(a,i){try{t(44114);var s=t(90144),o=t(69248),r=t(91805),n=t(16231),d=t(58689),l=t(78629);const a=l["default"].getters.profile.profile.barcode,c=a,A=await d.Ay.getFullProfile(c),h=await n.Ay.getFullEpigeneticbiologicalageReport(c),g=await n.Ay.getFullEpigeneticageanalysisReport(c),u=await n.Ay.getepigeneticoverviewInfo(c);console.log(h),console.log(A),e.A={name:"AncestrySection",props:{vikingResult:Object},components:{VueApexCharts:r.Ay},data(){return{series:[{data:[0,0,0,0,0,0,0,0,0,0]}],options:{chart:{toolbar:{show:!1}},plotOptions:{bar:{borderRadius:12,startingShape:"flat",colors:{ranges:[{from:-100,to:0,color:"#5CF2C0"},{from:0,to:100,color:"#EF6E76"}],backgroundBarColors:["rgba(200,200,200,0.2)"],backgroundBarRadius:12}}},dataLabels:{enabled:!0,formatter(a){return a.toFixed(4)}},xaxis:{categories:["ADM","R2M","CystatinC","GDF15","Leptin","PACKYRS","Pain","Kidney","hBA1c","CRP"]},yaxis:{title:{text:"Grim Age Risk Fector Level",style:{color:"#374151",fontSize:"14px",fontWeight:600}},labels:{formatter:function(a){return a.toFixed(1)+"%"}}},annotations:{xaxis:[{x:"Kidney",borderColor:"#FF4081",label:{borderColor:"#FF4081",style:{color:"#fff",background:"#FF4081",fontWeight:600,borderRadius:6},orientation:"horizontal",text:"Kidney"}}]}},orders:[],loading:!1,error:null,epigeneticsData:null,ageAnalysis:null,primaryRiskFactor:null}},async mounted(){this.loading=!0;try{const a=l["default"].getters.profile.profile.barcode,e=await n.Ay.getepigeneticoverviewInfo(a);console.log("ð epigeneticsResponsedata:",e),this.epigeneticsData=u.message.data,console.log("ð bivek11:",this.epigeneticsData.age_difference),this.ageAnalysis=g.data?g.data:g,this.epigeneticsData&&this.epigeneticsData.age_difference&&this.updateChartWithRealData(),this.ageAnalysis&&this.ageAnalysis.risk_factors&&(this.primaryRiskFactor=this.ageAnalysis.risk_factors[0])}catch(a){this.error="Failed to fetch epigenetics data",console.error(a.response?.data||a.message)}finally{this.loading=!1}},computed:{centerX(){return this.size/2},centerY(){return this.size/2},outerRadius(){return 120},innerRadius(){return 95},totalAngle(){return this.endAngle-this.startAngle},needleAngle(){return this.startAngle+this.speed/100*this.totalAngle},needleEndX(){const a=this.outerRadius-15;return this.centerX+a*Math.cos((this.needleAngle-90)*Math.PI/180)},needleEndY(){const a=this.outerRadius-15;return this.centerY+a*Math.sin((this.needleAngle-90)*Math.PI/180)},segments(){const a=[];return a},tickMarks(){const a=[],e=[0,25,50,75,100];return e.forEach((e=>{const t=this.startAngle+e/100*this.totalAngle,i=this.outerRadius+5,s=this.outerRadius+12,o=this.centerX+i*Math.cos((t-90)*Math.PI/180),r=this.centerY+i*Math.sin((t-90)*Math.PI/180),n=this.centerX+s*Math.cos((t-90)*Math.PI/180),d=this.centerY+s*Math.sin((t-90)*Math.PI/180),l=this.centerX+(s+15)*Math.cos((t-90)*Math.PI/180),c=this.centerY+(s+15)*Math.sin((t-90)*Math.PI/180);a.push({value:e,x1:o,y1:r,x2:n,y2:d,textX:l,textY:c})})),a}},methods:{async manualRefreshChart(){console.log("ð RISK FACTOR CHART REFRESH: User
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1var s=t(42799),o=t(2943),r=(t(49022),t(71241)),n=a([o]);o=(n.then?(await n)():n)[0];const d=(0,r.A)(o.A,[["render",s.X],["__scopeId","data-v-5a4a6fd9"]]);e["default"]=d,i()}catch(d){i(d)}}))},49022:function(){},2943:function(a,e,t){t.a(a,(async function(a,i){try{t.d(e,{A:function(){return s.A}});var s=t(30116),o=a([s]);s=(o.then?(await o)():o)[0],i()}catch(r){i(r)}}))},42799:function(a,e,t){t.d(e,{X:function(){return K}});var i=t(56768),s=t(24232),o=t(40485),r=t(21015),n=t(52265),d=t(21298),l=t(36123),c=t(72260),A=t(26157),h=t(12182),g=t(9119);const u=a=>((0,i.Qi)("data-v-5a4a6fd9"),a=a(),(0,i.jt)(),a),f={key:1,class:"contain-section epigenetics-riskfactor"},p={class:"row"},m={class:"col-sm-12 col-md-12 col-lg-12"},v={class:"inner-box"},R=(0,i.Fv)('<div class="row" data-v-5a4a6fd9><div class="col-sm-12 col-md-12 col-lg-12" data-v-5a4a6fd9><h3 style="text-align:center;" data-v-5a4a6fd9>Epigenetic Aging Risk Factors</h3></div></div><div class="row text-start" data-v-5a4a6fd9><div class="col-sm-12 col-md-9 col-lg-9" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>About Epigenetic Aging Risk Factors</h4><p data-v-5a4a6fd9> The GrimAge measure enables surrogate markers of function based on biomarker data from large epidemiological clinical studies. They can help you understand the most significant drivers of aging. Although these risk factors and your physiology overall is tightly interwoven, by focusing on the largest contributors to GrimAge acceleration we will be able to identify key areas for risk reduction. </p></div><div class="col-sm-12 col-md-3 col-lg-3" data-v-5a4a6fd9><img class="mt-90" src="'+o+'" alt="Logo" data-v-5a4a6fd9></div></div>',2),y={class:"d-flex gap-3"},C=u((()=>(0,i.Lk)("div",{class:""},[(0,i.Lk)("img",{src:r,alt:"Logo"})],-1))),k={class:"text-start d-flex gap-2"},b={key:0},E={key:1},F={key:2},x={key:3},w={key:4},I={key:5},T=["href"],S={key:6},P=u((()=>(0,i.Lk)("a",{href:" https://www.ajkd.org/article/S0272-6386(01)75531-X/fulltext"}," https://www.ajkd.org/article/S0272-6386(01)75531-X/fulltext",-1))),B={class:"d-flex flex-column align-items-end",style:{"min-width":"50%"}},O={class:"mb-2"},M=["disabled"],D=(0,i.Fv)('<p class="text-start" data-v-5a4a6fd9> Note: Your risk for the above may indicate your own heightened individual risk or susceptibility, so you may have to work harder or pay closer attention to this biomarker than others. As always, please consult with your personal physician before initiating any new treatment regimen. </p><div class="row" data-v-5a4a6fd9><div class="col-sm-12 col-md-12 col-lg-12 text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>How to effectively use your EpiGenetics Score</h4><p data-v-5a4a6fd9> Your risk for the above may indicate your own heightened individual risk or susceptibility, so you may have to work harder or pay closer attention to this biomarker than others. As always, please consult with your personal physician before initiating any new treatment regimen. </p></div></div><div class="row" data-v-5a4a6fd9><div class="col-sm-12 col-md-6 col-lg-6" data-v-5a4a6fd9><div class="d-flex gap-3" data-v-5a4a6fd9><div class="" data-v-5a4a6fd9><img src="'+n+'" alt="Logo" data-v-5a4a6fd9></div><div class="text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>Grim Age- Aging Test</h4><p data-v-5a4a6fd9> DW-5, congrats, your biological age is lower than your chronological age of 64.5. In fact, your GrimAge is 3.85 yearslower than the number of birthdays you've had. </p></div></div></div><div class="col-sm-12 col-md-6 col-lg-6" data-v-5a4a6fd9><div class="d-flex gap-3" data-v-5a4a6fd9><div class="" data-v-5a4a6fd9><img src="'+d+'" alt="Logo" data-v-5a4a6fd9></div><div class="text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>Metformin</h4><p data-v-5a4a6fd9> Consider discussing the use of metformin with your health provider. Metformin has been found to acutely lower blood glucose levels by inhibition of intestinal glucose transport </p></div></div></div></div><div class="row" data-v-5a4a6fd9><div class="col-sm-12 col-md-6 col-lg-6" data-v-5a4a6fd9><div class="d-flex gap-3" data-v-5a4a6fd9><div class="" data-v-5a4a6fd9><img src="'+l+'" alt="Logo" data-v-5a4a6fd9></div><div class="text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>Exercise</h4><p data-v-5a4a6fd9> carefully increasing the amount of exercise you do each day can help to reduce your result. Exercise can look different for each person. Start with increasing your movement and steps each day. </p></div></div></div><div class="col-sm-12 col-md-6 col-lg-6" data-v-5a4a6fd9><div class="d-flex gap-3" data-v-5a4a6fd9><div class="" data-v-5a4a6fd9><img src="'+c+'" alt="Logo" data-v-5a4a6fd9></div><div class="text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>Reduce Low glycemic index diet</h4><p data-v-5a4a6fd9> Foods with a high glycemic index raise blood sugar quickly and may cause health issues if alot is consumed. These foods include white rice, white bread, potatoes, and many processed foods. Click here to read more </p></div></div></div></div>',4),Y={class:"row"},U={class:"col-sm-12 col-md-12 col-lg-12"},Q={class:"text-start"},H=(0,i.Fv)('<div class="row" data-v-5a4a6fd9><div class="col-sm-12 col-md-12 col-lg-12 text-start" data-v-5a4a6fd9><h4 data-v-5a4a6fd9>Increasing your Quality of Lifespan</h4><p class="para-large mb-0" data-v-5a4a6fd9> Quality of life is one of the key competents </p></div></div><div class="d-flex gap-3 quality-grid text-start" data-v-5a4a6fd9><div class="card-bg" data-v-5a4a6fd9><img src="'+A+'" alt="Logo" data-v-5a4a6fd9><h5 data-v-5a4a6fd9>Diet</h5><p data-v-5a4a6fd9> What, when and how you eat have all been shown to play an important role in how long we live. </p></div><div class="card-bg" data-v-5a4a6fd9><img src="'+h+'" alt="Logo" data-v-5a4a6fd9><h5 data-v-5a4a6fd9>Lifestyle</h5><p data-v-5a4a6fd9> For those not in optimal health, basic diet and lifestyle interventions available today can improve life expectancy by 10 or more years. </p></div><div class="card-bg" data-v-5a4a6fd9><img src="'+g+'" alt="Logo" data-v-5a4a6fd9><h5 data-v-5a4a6fd9>Treatments</h5><p data-v-5a4a6fd9> Beyond diet and lifestyle, new treatments and interventions are likely required in order to modify your life expectancy significantly more. </p></div></div>',2);function K(a,e,t,o,r,n){const d=(0,i.g2)("page-loader"),l=(0,i.g2)("VueApexCharts");return"loading"==o.loadingStatus?((0,i.uX)(),(0,i.Wv)(d,{key:0})):o.introduction?((0,i.uX)(),(0,i.CE)("div",f,[(0,i.Lk)("div",p,[(0,i.Lk)("div",m,[(0,i.Lk)("div",v,[R,(0,i.Lk)("div",y,[C,(0,i.Lk)("div",k,[(0,i.Lk)("div",null,[(0,i.Lk)("h4",null,(0,s.v_)(r.primaryRiskFactor?r.primaryRiskFactor.name:"Kidney"),1),(0,i.Lk)("p",null,"Your primary GrimAge Risk Factor has been identified as: "+(0,s.v_)(r.primaryRiskFactor?r.primaryRiskFactor.name.toLowerCase():"kidney"),1),r.primaryRiskFactor&&r.primaryRiskFactor.description?((0,i.uX)(),(0,i.CE)("p",b,(0,s.v_)(r.primaryRiskFactor.description),1)):((0,i.uX)(),(0,i.CE)("p",E," During kidney aging, there is a gradual decline in renal function, characterized by reduced glomerular filtration rate (GFR) and increased susceptibility to renal diseases. 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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.