West Brady T, Engstrom Curtiss W, McCabe Sean Esteban, Schepis Ty S, Hu Rona Fang-Yu, Evans-Polce Rebecca J
Institute for Social Research, University of Michigan-Ann Arbor, Ann Arbor, MI, USA.
School of Nursing, University of Michigan-Ann Arbor, Ann Arbor, MI, USA.
J Homosex. 2024 Dec 3:1-24. doi: 10.1080/00918369.2024.2433068.
Including a "something else" response option for survey questions about sexual identity significantly moderates estimated differences between sexual identity subgroups in terms of behaviors and attitudes reported in U.S. health surveys. We hypothesize that these moderation effects will be larger in states with negative policies that fail to protect sexual minorities from discrimination. We tested this hypothesis by linking public-use data from the National Survey of Family Growth (2015-2019), which randomly assigned respondents to receive either a four-category measure of sexual identity, including "something else" as a response option, or a three-category measure omitting "something else," to year-specific state-level policy data from the Movement Advancement Project, which tracks state policies related to sexual minorities. In multivariable models for measures of substance use, reproductive health, family formation, and other correlates of health, we tested three-way interactions involving sexual identity, measurement type, and state-level policy classification. As hypothesized, we find repeated evidence (10 of the 32 health-related measures analyzed) of changes in the moderating effects of question type on sexual identity differences, with more prominent effects in negative policy environments. Suboptimal measurement of sexual identity may therefore have the largest negative effects on estimated health disparities in states with fewer protective policies.
对于美国健康调查中有关性取向的调查问题,纳入“其他”这一回答选项,会显著缓和性取向亚组之间在行为和态度方面估计的差异。我们假设,在未能保护性少数群体免受歧视的负面政策的州,这些缓和效应会更大。我们通过将全国家庭成长调查(2015 - 2019年)的公开数据与运动促进项目中特定年份的州级政策数据相链接来检验这一假设,全国家庭成长调查将受访者随机分配,使其接受性取向的四类测量(包括将“其他”作为一个回答选项)或省略“其他”的三类测量,运动促进项目则跟踪与性少数群体相关的州政策。在关于物质使用、生殖健康、家庭形成及其他健康相关因素的多变量模型中,我们检验了涉及性取向、测量类型和州级政策分类的三向交互作用。正如所假设的,我们反复发现(在分析的32项与健康相关的测量中有10项)问题类型对性取向差异的缓和效应存在变化的证据,在负面政策环境中效应更为显著。因此,在保护性政策较少的州,性取向的次优测量可能对估计的健康差距产生最大的负面影响。