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":"黑人变性女性队列中种族和性别分类对用于临床决策的动脉粥样硬化性心血管疾病风险估计值的影响。","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":"{\"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}","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}
Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women.
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.
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