Predictors of depression in patients with metabolic syndrome: A cross–sectional study from Northern India

Dr. Deepak Gahlan; Dr. Rajesh Rajput

Volume : VI, Issue : XII, December - 2017

Predictors of depression in patients with metabolic syndrome: A cross–sectional study from Northern India

Dr. Deepak Gahlan, Dr. Rajesh Rajput

Abstract :

Background: Metabolic syndrome (MetS) has been associated with an increased risk of mood disorders as well as T2DM. Similarly, depression increases the risk of MetS. Aims and Objective: This study was conducted to evaluate the occurrence of depressive symptoms in patients with MetS and their association with individual components of MetS. Materials and Methods: The present study included 820 individuals from a tertiary care centre (Pt. B.D. Sharma PGIMS, Rohtak) in northern India. Their sociodemographic and relevant clinical profile were recorded. MetS was defined according to the International Diabetes Federation criteria and patients were evaluated for depression by using Hamilton Depression Rating Scale. Results: The prevalence of depression among MetS patients was two folds higher (29.7% vs. 13.8%) than individuals without MetS. Women with MetS had higher depression (32.1% vs. 17.3%) than men. Overall, prevalence of MetS was 52.0% and was 3 times more common in females as compared to males (76.1% vs. 23.9%). Central obesity was the commonest component of MetS in females, males as well as in whole study group. The major predictors for depression in patients of MetS were central obesity, systolic hypertension, low HDL cholesterol levels, female sex and low education level (illiteracy). Conclusion: This study demonstrated a high prevalence of depression in MetS patients. Screening of central obesity, systolic hypertension, low HDL cholesterol levels, female sex and illiteracy level can be helpful for early prediction of depression in these patients.