Crissman Halley P, Berger Mitchell B, Graham Louis F, Dalton Vanessa K
Halley P. Crissman, Mitchell B. Berger, and Vanessa K. Dalton are with the Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor. Louis F. Graham is with the School of Public Health, University of Massachusetts Amherst.
Am J Public Health. 2017 Feb;107(2):213-215. doi: 10.2105/AJPH.2016.303571. Epub 2016 Dec 20.
To estimate the proportion of US adults who identify as transgender and to compare the demographics of the transgender and nontransgender populations.
We conducted a secondary analysis of data from states and territories in the 2014 Behavioral Risk Factor Surveillance System that asked about transgender status. The proportion of adults identified as transgender was calculated from affirmative and negative responses (n = 151 456). We analyzed data with a design-adjusted χ test. We also explored differences between male-to-female and nontransgender females and female-to-male and nontransgender males.
Transgender individuals made up 0.53% (95% confidence interval = 0.46, 0.61) of the population and were more likely to be non-White (40.0% vs 27.3%) and below the poverty line (26.0% vs 15.5%); as likely to be married (50.5% vs 47.7%), living in a rural area (28.7% vs 22.6%), and employed (54.3% vs 57.7%); and less likely to attend college (35.6% vs 56.6%) compared with nontransgender individuals.
Our findings suggest that the transgender population is a racially diverse population present across US communities. Inequalities in the education and socioeconomic status have negative implications for the health of the transgender population.
估计自我认定为跨性别的美国成年人比例，并比较跨性别群体与非跨性别群体的人口统计学特征。
我们对2014年行为危险因素监测系统中询问跨性别状况的州和地区的数据进行了二次分析。根据肯定和否定回答计算出被认定为跨性别的成年人比例（n = 151456）。我们使用设计调整后的χ检验分析数据。我们还探讨了男变女者与非跨性别女性以及女变男者与非跨性别男性之间的差异。
跨性别者占人口的0.53%（95%置信区间 = 0.46, 0.61），更有可能是非白人（40.0%对27.3%）且处于贫困线以下（26.0%对15.5%）；结婚的可能性（50.5%对47.7%）、居住在农村地区的可能性（28.7%对22.6%）以及就业的可能性（54.3%对57.7%）与非跨性别者相当；与非跨性别者相比，上大学的可能性较小（35.6%对56.6%）。
我们的研究结果表明，跨性别群体是美国各社区中存在的一个种族多样化的群体。教育和社会经济地位的不平等对跨性别群体的健康有负面影响。
