State-level LGBTQ+ policies and health: the role of political determinants in shaping health equity.

IF 2.7 Health affairs scholar Pub Date : 2025-01-15 eCollection Date: 2025-01-01 DOI:10.1093/haschl/qxaf005
Ellesse-Roselee L Akré, Nicole Rapfogel, Gabe H Miller
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Abstract

Lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ+) individuals in the United States experience higher rates of discrimination and stressors that negatively impact health compared with their straight, cisgender counterparts. Using 2022 Behavioral Risk Factor Surveillance Survey (BRFSS) data, estimating multilevel mixed-effects logistic regressions, we examined the relationship between state LGBTQ+ policies and health among LGBT people. Findings reveal a statistically significant inverse link between protective (high) state policy scores and poor self-rated health, poor mental health days, and poor physical health days. Specifically, with each 1-point increase in policy score, the odds of poor self-rated health are reduced by 0.03%, high mental health burden by 0.02%, and high physical health burden by 0.02%. Inequalities in self-rated health, high mental health burden, and high physical health burden are greater in policy environments with fewer state-level protections, with LGBT individuals reporting better health where there are more protections. These results indicate that discriminatory state policies are linked to poorer health for LGBT individuals and suggest that protective policies could improve health. Further research with comprehensive data is needed to deepen understanding.

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国家级LGBTQ+政策与卫生:政治决定因素在塑造卫生公平方面的作用。
在美国,女同性恋、男同性恋、双性恋、变性人和酷儿/质疑者(LGBTQ+)的个体比异性恋、顺性恋者更容易受到歧视和压力,从而对健康产生负面影响。利用2022年行为风险因素监测调查(BRFSS)数据,估计多层次混合效应logistic回归,我们检验了国家LGBTQ+政策与LGBT人群健康之间的关系。研究结果显示,保护性(高)国家政策得分与自我评估健康状况不佳、心理健康状况不佳和身体健康状况不佳之间存在统计学上显著的负相关。具体来说,政策得分每增加1分,自评健康状况不佳的几率降低0.03%,心理健康负担高的几率降低0.02%,身体健康负担高的几率降低0.02%。在州一级保护较少的政策环境中,自评健康、高精神健康负担和高身体健康负担方面的不平等更大,而在保护更多的政策环境中,LGBT个人报告的健康状况更好。这些结果表明,歧视性的国家政策与LGBT个体较差的健康状况有关,并表明保护性政策可以改善健康状况。需要进一步的研究和全面的数据来加深理解。
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