ABSTRACT Studies report that African Americans are likely to experience severe, chronic, and disabling depressive symptoms leading to poor depression outcomes. There are several psychosocial and sociocultural factors that individually… Click to show full abstract
ABSTRACT Studies report that African Americans are likely to experience severe, chronic, and disabling depressive symptoms leading to poor depression outcomes. There are several psychosocial and sociocultural factors that individually contribute to depression in African Americans (i.e. chronic stress, negative life events, negative social interaction, social support, and religiosity). However, African Americans are a heterogeneous population and the identification of subpopulations with distinct constellations of multiple co-occurring risk and protective factors may offer greater explanatory potential into depression burden for African Americans. This study used data from the American's Changing Lives Survey to identify risk types for depression in a national sample of African American adults and older adults (n = 1174). Latent class analysis results revealed a risk typology that included 3 distinct risk patterns for African Americans. Individuals in the High Protective/Low Risk Type (41%) had high levels of religiosity and social support. Those in the Moderate Protection/Low Risk Type (44%) had moderate levels of religiosity and social support. The Low Protection/Low Risk Type (15%) had low organizational and non-organizational religiosity and relatively low social support. All three types were marked by relatively low risk factors (i.e. negative events, financial stress, and negative social interaction). Multinomial logistic regression results suggested associations between demographic characteristics (i.e. gender, age, education, marital status), depressive symptoms, and risk type. Study results have implications for the development of depression interventions that are targeted to a specific risk type and tailored to the demographic profile of individuals likely to experience poor depression outcomes.
               
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