Racial/ethnic differences in the association between transgender-related U.S. state policies and self-rated health of transgender women

期刊论文
出版模式：

开放获取
发表日期：

2024年3月28日

查看全文

Wesley M. King,
Kristi E. Gamarel,
Nancy L. Fleischer,
Asa E. Radix,
Tonia C. Poteat,
Linda M. Chatters,
Don Operario,
Sari L. Reisner,
Andrea L. Wirtz,
Keri N. Althoff,
Chris Beyrer,
James Case,
Erin Cooney,
Meg Stevenson,
Dee Adams,
Oliver B. Laeyendecker,
Charlotte Gaydos,
Kenneth Mayer,
Christopher Cannon,
Jason Schneider,
J. Sonya Haw,
Allan Rodriguez,
Andrew J. Wawrzyniak,
Sherri Meeks,
Sydney Shackelford,
Nala Toussaint,
SaVanna Wanzer

摘要

Background

Policy protections for transgender adults in the United States are consistently associated with positive health outcomes. However, studies over-represent non-Latinx White transgender people and obscure variation in policies’ intended goals. This study examined racial differences in the relationship between transgender-related policies and transgender women’s self-rated health. Guided by Critical Race Theory, we hypothesized that policies conferring access to resources (e.g., healthcare) would be associated with better self-rated health among all participants while policies signifying equality (e.g., nondiscrimination laws) would be associated with better self-rated health only for White participants.

Methods

Using cross-sectional data collected between March 2018-December 2020 from 1566 transgender women, we analyzed 7 state-level ‘access policies,’ 5 ‘equality policies,’ and sum indices of each. Participants represented 29 states, and 54.7% were categorized as people of color. We fit a series of multilevel ordinal regression models predicting self-rated health by each policy. Multivariate models were adjusted for relevant covariates at the individual- and state-level. We then tested moderation by race/ethnicity using interaction terms and generated stratified predicted probability plots.

Results

In bivariate models, 4 access policies, 2 equality policies, and both indices were associated with better self-rated health, but associations did not persist in adjusted models. Results from the multivariable models including interaction terms indicated that policies concerning private insurance coverage of gender-affirming care, private insurance nondiscrimination, credit nondiscrimination, and both indices were statistically significantly associated with better self-rated health for White participants and worse self-rated health for participants of color.

Conclusions

The policies included in this analysis do not mitigate racism’s effects on access to resources, indicating they may be less impactful for transgender women of color than White transgender women. Future research and policy advocacy efforts promoting transgender women’s health must center racial equity as well as transgender people of color’s priorities.