Comparing the health of non-binary and binary transgender adults in a statewide non-probability sample

被引:142
作者
Reisner, Sari L. [1 ,2 ,3 ,4 ]
Hughto, Jaclyn M. W. [4 ,5 ,6 ,7 ]
机构
[1] Boston Childrens Hosp, Div Gen Pediat, Boston, MA 02115 USA
[2] Harvard Med Sch, Pediat, Boston, MA 02115 USA
[3] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[4] Fenway Hlth, Fenway Inst, Boston, MA 02215 USA
[5] Brown Univ, Sch Publ Hlth, Dept Behav & Social Sci, Providence, RI 02912 USA
[6] Brown Univ, Sch Publ Hlth, Dept Epidemiol, Providence, RI 02912 USA
[7] Brown Univ, Ctr Hlth Equ Res, Providence, RI 02912 USA
关键词
MENTAL-HEALTH; MULTIPLE IMPUTATION; MINORITY STRESS; ONLINE SAMPLE; GENDER; CARE; DISPARITIES; DEPRESSION; COMMUNITY; DETERMINANTS;
D O I
10.1371/journal.pone.0221583
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background In the U.S., non-binary refers to transgender people who have a gender identity not aligned with their assigned sex at birth, and who identify outside of the traditional male-female binary, such as genderqueer, genderfluid, or gender nonconforming. Few data are available to characterize the health of non-binary adults. Methods The current study sought to fill this gap by conducting a secondary analysis of data from a non-probability sample of transgender and/or gender nonconforming adults in Massachusetts (sample mean age 32.6 years, 63% female assigned sex at birth; 79.4% white non-Hispanic/Latinx). Multivariable models were fit to compare non-binary (e.g., genderqueer) vs. binary (e.g., man/trans man, woman/trans woman) respondents across a range of social and health indicators. Results Overall, 40.9% identified their gender identity as non-binary. Non-binary respondents significantly differed from binary respondents on (all p<0.05): demographics (younger age, more female assigned sex at birth); gender affirmation (older age of identity recognition, lower current uptake of and future desires for medical gender affirmation); healthcare utilization (lower rates of being up-to-date in annual wellness visit, less mental healthcare utilization in past year); mental health and substance use (higher past-week depressive distress, higher hazardous alcohol use); social history (more unstably housed, more current students), violence victimization (lower rates of lifetime intimate partner violence), and social support (less family support). Conclusion Gender diversity, including whether people endorse a binary or non-binary gender identity, is a prevalent and an important aspect of transgender health. Demographic measures of gender identity that include binary and non-binary response options are recommended to inform future research and clinical care.
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页数:20
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