Marital Status as a Proxy Measure of Social Support and its Influence on Health Status and Depression Rates

Diabetes disproportionately affects minority populations. Social support, and more specifically marriage, has been found to buffer the negative effects of diabetes and depression. Data collected from African Americans with type 2 diabetes in Atlanta and NHANES data were compared to examine whether marriage affects health status and mental health. Approximately, 1742 African Americans aged 18-80 were included in this study. Chi square analysis revealed that married men had lower rates of depression (15.9% vs. 24.7%) compared to unmarried men (p \u3c 0.05), but the same effect was not found in women. The findings show that marriage was not associated with HbA1c, but was associated with rates of depression. The lack of association of HbA1c with marriage may be because marriage may not be the best proxy of social support in the African American community. Future research should focus on alternative forms of social support such as cohabitation, extend family, and friend

Depression, deficits in functional capacity, and impaired glycemic control in urban African Americans with type 2 diabetes

Effective depression treatment does not reliably reduce glycosylated hemoglobin (HbA1c) in depressed patients with type 2 diabetes, possibly in part due to deficits in functional capacity, i.e. performance of certain everyday living skills, essential for effective diabetes self-management. We sought to determine: a) the magnitude of deficits in functional capacity among urban, African American (AA) patients with type 2 diabetes, and b) whether these deficits were associated with poorer glycemic control. At their initial visit to an inner-city diabetes clinic, 172 AA patients with type 2 diabetes were assessed with a variety of instruments, including the Mini International Neuropsychiatric Interview (MINI) and the UCSD Performance Skills Assessment-Brief (UPSA-B). They then entered a comprehensive diabetes management intervention, whose success was indexed by HbA1c levels at up to four reassessments over a one-year period. A mixed-effects model repeated-measures method was used to predict HbA1c. The prevalence of depression was 19%; the mean UPSA-B score was 81 ± 17. After multivariate adjustment, increased HbA1c levels over time were predicted by the presence of major depression (B = .911, p = .002) and decreasing (worse) scores on the UPSA-B (B = −.016, p = .027), respectively. Further adjustment for increasing the dosage of oral or insulin during the treatment eliminated the association between the UPSA score and HbA1c level (B = −.010, p = .115). Depression, as well as deficits in functional capacity, predicted reduced effectiveness of a diabetes self-management intervention. Future studies will determine whether interventions targeted at both improve glycemic control