Maselko Joanna
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 2105e McGavran-Greenberg Hall, Campus Box 7435, Chapel Hill, NC 27599-7435 USA.
Curr Epidemiol Rep. 2017;4(2):166-173. doi: 10.1007/s40471-017-0107-y. Epub 2017 Apr 18.
The vast majority of research on the social determinants of mental health has been generated from high-income country (HIC) populations, even as the greatest health disparities, and greatest disease burden, is observed in lower- and middle-income countries (LMICs). The goal of this review is to examine the evidence base on how key social epidemiology constructs relate to mental health in LMIC contexts. A special focus is on points of departure from the HIC knowledge base, gaps in overall understanding, and opportunities for social epidemiology to make a significant contribution.
A growing body of literature suggests that there is significant heterogeneity, both in the direction and magnitude, of association between factors such as socioeconomic status, income inequality, gender, and social networks/supports and mental health in LMIC. For example, higher levels of education and being married can be risk factors for worse mental health among women in certain contexts. However, many studies have methodological limitations that make causal inference difficult. Poverty alleviation interventions offer a unique opportunity to examine the impact of improving economic resources and mental health.
Much remains unknown about the impact of key social factors on mental health in LMIC. Findings from HICs may not apply to LMIC populations, since the meaning and distribution of a given social variable may differ significantly from what is commonly observed in HICs. These points of departure point to opportunities for social epidemiology to make a contribution to the field of global mental health.
绝大多数关于心理健康社会决定因素的研究都来自高收入国家(HIC)人群,即便最大的健康差距和最大的疾病负担出现在低收入和中等收入国家(LMIC)。本综述的目的是考察在低收入和中等收入国家背景下,关键社会流行病学结构与心理健康之间关系的证据基础。特别关注与高收入国家知识基础的不同之处、整体理解上的差距,以及社会流行病学做出重大贡献的机会。
越来越多的文献表明,在低收入和中等收入国家,社会经济地位、收入不平等、性别以及社会网络/支持等因素与心理健康之间的关联在方向和程度上存在显著异质性。例如,在某些情况下,较高的教育水平和已婚状态可能是女性心理健康状况较差的风险因素。然而,许多研究存在方法学上的局限性,难以进行因果推断。扶贫干预措施为检验改善经济资源对心理健康的影响提供了独特机会。
关于低收入和中等收入国家关键社会因素对心理健康的影响,仍有许多未知之处。高收入国家的研究结果可能不适用于低收入和中等收入国家人群,因为特定社会变量的含义和分布可能与高收入国家普遍观察到的情况有显著差异。这些不同之处为社会流行病学为全球心理健康领域做出贡献提供了机会。