Ethnic Groups Differ in How Poor Self-Rated Mental Health Reflects Psychiatric Disorders.

AIM

This study aimed to explore cross-ethnic variation in the pattern of the associations between psychiatric disorders and self-rated mental health (SRMH) in the USA.

METHODS

This cross-sectional study used data from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003, a national household probability sample. The study enrolled 18,237 individuals who were either Non-Hispanic White (n = 7587), African American (n = 4746), Mexican (n = 1442), Cuban (n = 577), Puerto Rican (n = 495), Other Hispanic (n = 1106), Vietnamese (n = 520), Filipino (n = 508), Chinese (n = 600) or Other Asian (n = 656). SRMH was the outcome. Independent variables were psychiatric disorders including major depressive disorder [MDD], general anxiety disorder [GAD], social phobia, alcohol abuse, binge eating disorders, panic disorder, and post-traumatic stress disorder [PTSD], measured by the Composite International Diagnostic Interview (CIDI). Demographic (age and gender) and socioeconomic (education and income) factors were covariates.

RESULTS

The only psychiatric disorder which was universally associated with SRMH across all ethnic groups was MDD. More psychiatric disorders were associated with poor SRMH in Non-Hispanic Whites than any other ethnic groups. Among African Americans, demographic and socioeconomic factors could fully explain the associations between psychiatric disorders and SRMH. Among Mexican and Other Hispanics, demographic and socioeconomic factors could only explain the association between some but not all psychiatric disorders and SRMH. In all other ethnic groups, demographic and socioeconomic factors did not explain the link between psychiatric disorders and SRMH.

CONCLUSION

Although SRMH is a useful tool for estimation of mental health needs of populations, poor SRMH may not have universal meanings across ethnically diverse populations. Ethnic groups differ in how their poor SRMH reflects psychiatric conditions and the role of demographic and socioeconomic factors in explaining such links. These ethnic differences may be a source of measurement bias in cross-ethnic health comparisons.