Wolff Margaret, Wells Brooke, Ventura-DiPersia Christina, Renson Audrey, Grov Christian
a Department of Community Health and Social Science , CUNY Graduate School of Public Health and Health Policy.
b Center for Human Sexuality Studies , Widener University.
J Sex Res. 2017 May-Jun;54(4-5):507-531. doi: 10.1080/00224499.2016.1255872. Epub 2016 Dec 23.
The U.S. Department of Health and Human Services' (HHS) Healthy People 2020 goals sought to improve health outcomes among sexual minorities; HHS acknowledged that a dearth of sexual orientation items in federal and state health surveys obscured a broad understanding of sexual minority-related health disparities. The HHS 2011 data progression plan aimed to advance sexual orientation data collection efforts at the national level. Sexual orientation is a complex, multidimensional construct often composed of sexual identity, sexual attraction, and sexual behavior, thus posing challenges to its quantitative and practical measurement and analysis. In this review, we (a) present existing sexual orientation constructs; (b) evaluate current HHS sexual orientation data collection efforts; (c) review post-2011 data progression plan research on sexual minority health disparities, drawing on HHS survey data; (d) highlight the importance of and (e) identify obstacles to multidimensional sexual orientation measurement and analysis; and (f) discuss methods for multidimensional sexual orientation analysis and propose a matrix for addressing discordance/branchedness within these analyses. Multidimensional sexual orientation data collection and analysis would elucidate sexual minority-related health disparities, guide related health policies, and enhance population-based estimates of sexual minority individuals to steer health care practices.
美国卫生与公众服务部（HHS）的《健康人民2020》目标旨在改善性少数群体的健康状况；HHS承认，联邦和州健康调查中性取向项目的缺乏，使得人们难以全面了解与性少数群体相关的健康差距。HHS 2011年的数据推进计划旨在推动国家层面性取向数据的收集工作。性取向是一个复杂的多维度概念，通常由性身份、性吸引力和性行为组成，因此对其进行定量和实际测量及分析具有挑战性。在本综述中，我们（a）介绍现有的性取向概念；（b）评估HHS目前的性取向数据收集工作；（c）利用HHS调查数据，回顾2011年后关于性少数群体健康差距的数据推进计划研究；（d）强调多维度性取向测量和分析的重要性；（e）确定多维度性取向测量和分析的障碍；（f）讨论多维度性取向分析的方法，并提出一个解决这些分析中不一致/分支问题的矩阵。多维度性取向数据的收集和分析将阐明与性少数群体相关的健康差距，指导相关健康政策，并提高基于人群的性少数群体个体估计数，以指导医疗保健实践。
