Associations between social determinants of health and mental health disorders among U.S. population: a cross-sectional study.

IF 5.9 2区 医学 Q1 PSYCHIATRY Epidemiology and Psychiatric Sciences Pub Date : 2025-01-15 DOI:10.1017/S2045796024000866
S Tanarsuwongkul, J Liu, M Spaulding, K Perea-Schmittle, M Lohman, Q Wang
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Abstract

Aims: The impact of social determinants of health (SDOH) on mental health is increasingly realized. A comprehensive study examining the associations of SDOH with mental health disorders has yet to be accomplished. This study evaluated the associations between five domains of SDOH and the SDOH summary score and mental health disorders in the United States.

Methods: We analyzed data from a diverse group of participants enrolled in the All of Us research programme, a research programme to gather data from one million people living in the United States, in a cross-sectional design. The primary exposure was SDOH based on Healthy People 2030: education access and quality, economic stability, healthcare access and quality, social and community context, and neighbourhood and built environment. A summary SDOH score was calculated by adding each adverse SDOH risk (any SDOH vs. no SDOH). Our primary outcomes were diagnoses of major depression (MD) (i.e., major depressive disorder, recurrent MD or MD in remission) and anxiety disorders (AD) (i.e., generalized AD and other anxiety-related disorders). Multiple logistic regression models were used to determine adjusted odd ratios (aORs) for MD and/or ADs after controlling for covariates.

Results: A total of 63,162 participants with MD were identified (22,277 [35.3%] age 50-64 years old; 41,876 [66.3%] female). A total of 77,624 participants with AD were identified (25,268 [32.6%] age 50-64 years old; 52,224 [67.3%] female). Factors associated with greater odds of MD and AD included having less than a college degree, annual household income less than 200% of federal poverty level, housing concerns, lack of transportation, food insecurity, and unsafe neighbourhoods. Having no health insurance was associated with lower odds of both MD and AD (aOR, 0.48; 95% confidence interval [CI], 0.46-0.51 and aOR, 0.44; 95% CI, 0.42-0.47, respectively). SDOH summary score was strongly associated with the likelihood of having MD and AD (aOR, 1.97; 95% CI, 1.89-2.06 and aOR, 1.69; 95% CI, 1.63-1.75, respectively).

Conclusions: This study found associations between all five domains of SDOH and the higher odds of having MD and/or AD. The strong correlations between the SDOH summary score and mental health disorders indicate a possible use of the summary score as a measure of risk of developing mental health disorders.

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美国人群中健康的社会决定因素与精神健康障碍之间的关联:一项横断面研究
目的:健康的社会决定因素(SDOH)对心理健康的影响越来越被认识到。尚未完成一项检查SDOH与精神健康障碍之间关系的全面研究。本研究评估了美国SDOH的五个领域和SDOH总结评分与精神健康障碍之间的关系。方法:我们以横断面设计的方式分析了来自“我们所有人”研究项目的不同参与者的数据,该研究项目收集了生活在美国的100万人的数据。主要暴露是基于《2030年健康人口》的SDOH:教育机会和质量、经济稳定、医疗保健机会和质量、社会和社区背景以及邻里和建筑环境。通过将每个不良SDOH风险(有SDOH vs.无SDOH)相加来计算SDOH总成绩。我们的主要结局是诊断为重度抑郁症(MD)(即重度抑郁症、复发性MD或缓解期MD)和焦虑症(AD)(即广泛性AD和其他焦虑相关疾病)。在控制协变量后,使用多元逻辑回归模型确定MD和/或ADs的调整奇比(aORs)。结果:共有63,162名MD患者被确定(22277名[35.3%]年龄在50-64岁;女性41876人(66.3%)。共有77,624名AD患者被确定(25,268名[32.6%],年龄在50-64岁;52,224[67.3%]女性)。与MD和AD发病率较高相关的因素包括:大学学历以下、家庭年收入低于联邦贫困水平的200%、住房问题、缺乏交通、食品不安全以及不安全的社区。没有医疗保险的人患MD和AD的几率较低(aOR, 0.48;95%置信区间[CI]为0.46-0.51,aOR为0.44;95% CI分别为0.42-0.47)。SDOH综合评分与MD和AD的可能性密切相关(aOR, 1.97;95% CI为1.89-2.06,aOR为1.69;95% CI分别为1.63-1.75)。结论:本研究发现SDOH的所有五个结构域与MD和/或AD的高发病率之间存在关联。SDOH总结得分与精神健康障碍之间的强相关性表明,总结得分可能用于衡量发生精神健康障碍的风险。
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来源期刊
CiteScore
7.80
自引率
1.20%
发文量
121
审稿时长
>12 weeks
期刊介绍: Epidemiology and Psychiatric Sciences is a prestigious international, peer-reviewed journal that has been publishing in Open Access format since 2020. Formerly known as Epidemiologia e Psichiatria Sociale and established in 1992 by Michele Tansella, the journal prioritizes highly relevant and innovative research articles and systematic reviews in the areas of public mental health and policy, mental health services and system research, as well as epidemiological and social psychiatry. Join us in advancing knowledge and understanding in these critical fields.
期刊最新文献
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