Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women.
IF 2.6 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Tonia Poteat, Elle Lett, Ashleigh J Rich, Huijun Jiang, Andrea L Wirtz, Asa Radix, Sari L Reisner, Alexander B Harris, Jowanna Malone, William G La Cava, Catherine R Lesko, Kenneth H Mayer, Carl G Streed
{"title":"Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women.","authors":"Tonia Poteat, Elle Lett, Ashleigh J Rich, Huijun Jiang, Andrea L Wirtz, Asa Radix, Sari L Reisner, Alexander B Harris, Jowanna Malone, William G La Cava, Catherine R Lesko, Kenneth H Mayer, Carl G Streed","doi":"10.1089/heq.2023.0066","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Despite their dynamic, socially constructed, and imprecise nature, both race and gender are included in common risk calculators used for clinical decision-making about statin therapy for atherosclerotic cardiovascular disease (ASCVD) prevention.</p><p><strong>Methods and materials: </strong>We assessed the effect of manipulating six different race-gender categories on ASCVD risk scores among 90 Black transgender women.</p><p><strong>Results: </strong>Risk scores varied by operationalization of race and gender and affected the proportion for whom statins were recommended.</p><p><strong>Discussion: </strong>Race and gender are social constructs underpinning racialized and gendered health inequities. Their rote use in ASCVD risk calculators may reinforce and perpetuate existing inequities.</p>","PeriodicalId":36602,"journal":{"name":"Health Equity","volume":"7 1","pages":"803-808"},"PeriodicalIF":2.6000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10698798/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Equity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/heq.2023.0066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Despite their dynamic, socially constructed, and imprecise nature, both race and gender are included in common risk calculators used for clinical decision-making about statin therapy for atherosclerotic cardiovascular disease (ASCVD) prevention.
Methods and materials: We assessed the effect of manipulating six different race-gender categories on ASCVD risk scores among 90 Black transgender women.
Results: Risk scores varied by operationalization of race and gender and affected the proportion for whom statins were recommended.
Discussion: Race and gender are social constructs underpinning racialized and gendered health inequities. Their rote use in ASCVD risk calculators may reinforce and perpetuate existing inequities.