期刊
ETHNICITY & DISEASE
卷 30, 期 4, 页码 553-562出版社
INT SOC HYPERTENSION BLACKS-ISHIB
DOI: 10.18865/ed.30.4.553
关键词
Depression; Mental Health; Asian American; Southeast Asian; South Asian; East Asian
资金
- NIH National Institute on Minority Health and Health Disparities [U54MD000538]
- National Center for Advancing Translational Sciences [UL1TR001445]
- Centers for Disease Control and Prevention [U48DP001904]
Objective: Although the fastest growing minority group, Asian Americans receive little attention in mental health research. Moreover, aggregated data mask further diversity within Asian Americans. This study aimed to examine depression risk by detailed Asian American subgroup, and further assess determinants within and between three Asian ethnic subgroups. Methods: Needs assessment surveys were collected in 16 Asian American subgroups (six Southeast Asian, six South Asian, and four East Asian) in New York City from 2013-2016 using community-based sampling strategies. A final sample of N=1,532 completed the PHQ-2. Bivariate comparisons and multivariable logistic models explored differences in depression risk by subgroup. Results: Southeast Asians had the greatest depression risk (19%), followed by South Asians (11%) and East Asians (9%). Among Southeast Asians, depression risk was associated with lacking health insurance (OR=.2, 95% CI: 0-.6), not having a provider who speaks the same language (OR=3.2, 95% CI: 1.3-8.0), and lower neighborhood social cohesion (OR- .94, 95% CI: .71-.99). Among South Asians, depression risk was associated with greater English proficiency (OR=3.9, 95% CI: 1.6-9.2); and among East Asians, depression risk was associated with <= high school education (OR=4.2, 95% CI: 1.2-14.3). Additionally, among Southeast Asians and South Asians, the highest depression risk was associated with high levels of discrimination (Southeast Asian: OR=9.9, 95% CI: 1.8-56.2; South Asian: OR=7.3, 95% CI: 3.3-16.2). Conclusions: Depression risk and determinants differed by Asian American ethnic subgroup. Identifying factors associated with depression risk among these groups is key to targeting limited public health resources for these underserved communities.
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