Ethnic differences in the relationship between depressive symptoms and health-related quality of life in people with type 2 diabetes

Ethn Health. 2006 Feb;11(1):59-80. doi: 10.1080/13557850500391287.

Abstract

Objective: To examine ethnic differences in the relationship between depressive symptoms and specific aspects of heath-related quality of life in people with type 2 diabetes.

Design: Cross-sectional data from 190 people with type 2 diabetes of Native Hawaiian (50%), Filipino (16%), Japanese (18%), and mixed-ethnic (16%) ancestries from the rural community of North Kōhala, Hawai'i were examined in this study. Depressive symptoms were measured with the Center for Epidemiological Studies-Depression (CES-D) scale. Health-related quality of life was measured with the Short Form-36 Health Survey (SF-36). Eight health-related quality of life constructs were examined: Physical Functioning, Role-Physical Functioning, Role-Emotional Functioning, Social Functioning, Bodily Pain, Vitality, General Health, and Health Transition.

Results: Hierarchical regression analyses of the interaction between ethnicity and the SF-36 subscales of Physical Functioning, Role-Emotional Functioning, Bodily Pain, Vitality, and General Health indicated statistically significant associations with CES-D scores after controlling for sociodemographic factors, glycemic status, and social support.

Conclusion: Ethnicity moderated the relationship between depressive symptoms and the health-related quality of life aspects of physical and role-emotional functioning, bodily pain, vitality, and general health perception in people with type 2 diabetes. This relationship was strongest for Filipinos followed by Native Hawaiians and people of mixed-ethnic ancestries.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Analysis of Variance
  • Chi-Square Distribution
  • Depression / ethnology*
  • Depression / etiology
  • Diabetes Complications
  • Diabetes Mellitus, Type 2 / ethnology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Quality of Life*
  • Regression Analysis
  • Social Support