Indian Journal of Private Psychiatry

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VOLUME 17 , ISSUE 1 ( January-June, 2023 ) > List of Articles

Original Article

Metabolic Syndrome in Patients with Depression: A Cross-sectional Comparative Study

Ajay Prakash, S Sourabh, Prashanth Nagabhushan Rudra, Shankar Kumar, Shalu Elizabeth Abraham

Keywords : Antidepressant, Depression, Metabolic syndrome, Waist circumference

Citation Information : Prakash A, Sourabh S, Rudra PN, Kumar S, Abraham SE. Metabolic Syndrome in Patients with Depression: A Cross-sectional Comparative Study. Ind J Priv Psychiatry 2023; 17 (1):34-39.

DOI: 10.5005/jp-journals-10067-0129

License: CC BY-NC 4.0

Published Online: 10-02-2023

Copyright Statement:  Copyright © 2023; The Author(s).


Background: Depression is a leading cause of disability worldwide and is also known to be comorbid with a number of medical and psychiatric illnesses. Metabolic syndrome (MS) that is now emerging as a common lifestyle illness is found to be twofold greater in patients with depression. Often, antidepressants have been considered to be the reason for this possible link, however, research from the West suggests that a direct link is plausible. There is a scarcity of literature supporting these data from the East. In this study, we have attempted to assess the prevalence of MS in depressive patients, and to determine the probable risk factors contributing to the association. Materials and methods: Sixty consecutive patients that fulfilled the inclusion criteria were recruited from a tertiary care center in India. Sociodemographic and clinical data were obtained using a semistructured pro forma. Depressive disorder was diagnosed using International classification of diseases-10 (ICD-10), and severity was measured using Hamilton rating scale for depression (HAM-D). The weight, height, waist circumference (WC), systolic and diastolic blood pressure (BP), as well as fasting lipids and glucose were measured. Metabolic syndrome was diagnosed based on National Cholesterol Education Program/Adult Treatment Panel (NCEP ATP-III) criteria (2005 revision). The descriptive and inferential statistics were done using statistical package for social sciences (SPSS) 16. Results and conclusion: The overall prevalence of MS among depressed patients was 35%. The prevalence among “drug-naive” patients was 30%, whereas among “on-drug” patients was 40%. The most common abnormal MS components were WC (53.33%), systolic BP (SBP) (53.3%), and high-density lipoprotein (HDL) (53.3%). Age of the patient was the only sociodemographic factor that showed significant correlation with components of MS like fasting blood sugar (FBS) and SBP. Age of onset of depression among MS cases had a negative correlation with WC. Among the MS components, the distribution of diastolic BP (DBP) and triglycerides (TG) was statistically different among the “drug-naive” and “on-drug” groups. Thus, in view of significant number of depressed patients being at risk of developing MS, it would be necessary to keep a regular check on metabolic parameters in this group of patients.

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