Lower Socio-Economic Position Associated With Higher Odds Of Diabetes-Depression Comorbidity

Diabetes-depression comorbidity (DDC) adversely affects the quality of life of diabetic patients, complicates the clinical treatment and makes diabetes management very challenging. Therefore, early identification and diagnosis of DDC is crucial to prevent complications and improve the health outcomes among the diabetic patients. This work explores the association between demographic, lifestyle, social economic factors and DDC. The analysis is based on data obtained from the Behavioral Risk Factor Surveillance System (BRFSS), Centers for Disease Control and Prevention (CDC), USA. Logistic Regression was used to explore this association. Women were found to have higher odds of DDC as compared to men [OR 1.30, 95%CI(1.17-1.44), p <0.001]. Additionally, sedentary behaviour and lower socio-economic position was found to be associated with higher odds of DDC. Moreover, a gradient association was observed between socio-economic position (SEP) and DDC. The odds of DDC tend to reduce with improvement in SEP. Our findings underscore the importance of examining and addressing the disproportionate burden of DDC among the lower socio-economic groups.