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Immigration-Related Factors and Depression Help-Seeking Behaviors Among Older Chinese Americans.
Kong, Dexia; Guo, Man; Simon, Melissa; Dong, Xinqi.
Afiliación
  • Kong D; Department of Social Work, The Chinese University of Hong Kong, Hong Kong, China.
  • Guo M; School of Social Work, The University of Iowa, Iowa City, USA.
  • Simon M; Feinberg School of Medicine, Northwestern University, Evanston, USA.
  • Dong X; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, USA.
Clin Gerontol ; : 1-10, 2024 May 02.
Article en En | MEDLINE | ID: mdl-38695308
ABSTRACT

OBJECTIVES:

Asian Americans have the lowest mental health service utilization rate among all racial/ethnic groups. This study investigates how immigration-related factors shape the depression help-seeking behaviors of older Chinese Americans.

METHODS:

Data were collected from participants who reported experiencing any depressive symptoms in the Population-based Study of Chinese Elderly in Chicago (n = 907). Multinomial logistic regressions were conducted to examine the associations between immigration-related factors and help-seeking behaviors, including not seeking help (23.5%), seeking help from informal source(s) only (40%), seeking help from both informal and formal sources (28.7%), and seeking help from formal source(s) only (8.8%).

RESULTS:

Older Chinese Americans with lower levels of acculturation (OR = 0.88, 95% CI = 0.79-0.97) and those who lived in Chinatown (OR = 2.34, 95% CI = 1.21-4.52) were more likely to seek help from formal sources only (relative to not seeking any help).

CONCLUSIONS:

Older Chinese Americans with depressive symptoms predominately relied on informal sources of help, either solely or in combination with formal sources, to address their depressive symptoms. CLINICAL IMPLICATIONS Leveraging informal support networks and ethnicity-specific resources represents a promising approach for this population.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article