Self-rated mental health in socio-structural contexts: an examination with Korean American older adults

Abstract

Objectives: Following the socio-structural framework of health, the study examined the role of social/interpersonal and environmental/neighborhood factors in predicting self-rated mental health (SRMH) in Korean American older adults.

Method: Using the survey data from 420 older Korean Americans (mean age = 71.6, SD = 7.59), multivariate models of SRMH was estimated with sets of predictors: (1) background information (demographic characteristics and chronic conditions), (2) mental health symptom measures (depressive symptoms and anxiety), (3) social/interpersonal factors (social network and filial satisfaction), and (4) environmental/neighborhood factors (neighborhood safety and residential satisfaction).

Results: Social/interpersonal and environmental/neighborhood factors were found to make a significant contribution to the predictive model even after controlling for background information and mental health symptom measures. Those with higher levels of filial satisfaction and more favorable perceptions of neighborhood safety were likely to have positive ratings of SRMH.

Conclusion: Findings supported the importance of considering socio-structural contexts in the assessment of SRMH and provided implications for mental health services for the target population.

Keywords:

• self-rated mental health
• socio-structural contexts
• Korean American older adults

Additional information

Funding

The project was supported by a pilot grant (PI–Yuri Jang, Ph.D.) from the Advanced Research Institute in Geriatric Mental Health (R25MH068502; PI–Martha Bruce, Ph.D.).