Department of Sociology and LGBTQ+ Policy Lab, Vanderbilt University, Nashville, TN, USA.
Demography. 2024 Oct 1;61(5):1267-1282. doi: 10.1215/00703370-11569501.
The transgender population is a critically underresearched population in the United States, owing to rare measures on national and state-level surveys that ask about sex and gender or transgender identification. Consequently, we know relatively less about the sociodemographic, socioeconomic, family, and health lives of gender minorities. In this research note, I use population-level data from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System to provide a data portrait of cisgender, transgender, and gender-nonconforming populations on a range of sociodemographic (e.g., sexual identity, race and ethnicity), socioeconomic (e.g., education, homeownership), family (e.g., union status), and health (e.g., number of poor mental health days) characteristics. Results reveal that gender minorities are younger than cisgender men and cisgender women and are disproportionately sexual minorities and people of color. Gender minority groups also experience lower socioeconomic status, report drastically different family lives, and bear the burden of worse health compared with cisgender people. I conclude by contending that descriptive research of this nature can illuminate compositional differences between cisgender and gender minority populations, provide rationales for adjusting for certain characteristics, and highlight potential explanatory mechanisms to make better sense of well-established findings (e.g., the transgender health disadvantage).
美国跨性别群体是一个研究严重不足的群体,这主要是因为国家和州一级的调查很少有关于性别和性别的措施,或者跨性别认同。因此,我们对性别少数群体的社会人口统计学、社会经济、家庭和健康生活相对了解较少。在本研究报告中,我使用疾病控制和预防中心行为风险因素监测系统的人口水平数据,提供了一系列社会人口统计学(例如,性认同、种族和民族)、社会经济(例如,教育、住房拥有率)、家庭(例如,婚姻状况)和健康(例如,心理健康不佳的天数)特征方面的顺性别、跨性别和性别非规范人群的数据画像。结果表明,性别少数群体比顺性别男性和顺性别女性年轻,而且不成比例地是性少数群体和有色人种。性别少数群体也处于较低的社会经济地位,报告的家庭生活截然不同,与顺性别者相比,他们的健康状况更差。我最后认为,这种描述性的研究可以阐明顺性别和性别少数群体之间的构成差异,为调整某些特征提供理由,并突出潜在的解释机制,以便更好地理解已确立的发现(例如,跨性别健康劣势)。