Prevalence and Sociodemographic Predictors of Depression and Anxiety among Patients with Diabetes Mellitus: A Cross-Sectional Study from an Urban Field Practice Area in Southern India

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Authors: Santosh D Patil, AM Rangoli, Vijaya Sorganvi, Rachel A. Daniel
Cited by: 1

Abstract

Background: Diabetes mellitus is associated with significant psychological comorbidities. Limited data exist from community-based urban settings in Southern India on the prevalence and predictors of depression and anxiety among diabetic patients. The objective was to determine the prevalence of depression and anxiety among diabetes patients attending an urban field practice area and identify their sociodemographic predictors. Methods: A cross-sectional study was conducted among 100 diabetic patients (April-September 2024) at an urban field practice area, Vijayapura. Depression and anxiety were assessed using validated PHQ-9 and GAD-7 scales. Socioeconomic status was evaluated using the Modified Kuppuswamy Scale. Multivariable logistic regression identified independent predictors. Results: Depression was present in 29% (95% CI: 20.5%-38.9%) and anxiety in 31% (95% CI: 22.4%-40.9%) of participants. Muslim religion (AOR=3.1; 95% CI:1.4-9.0) and widowed/separated/divorced marital status (AOR=3.2; 95% CI:1.1-9.2) were independently associated with depression. Widowed/ separated/ divorced status (AOR=3.1; 95% CI:1.0-9.0) and illiteracy (AOR=0.2; 95% CI:0.04-0.9) were significant predictors of anxiety. Conclusion: Psychological comorbidities are highly prevalent among diabetic patients. Integrating routine mental health screening into diabetes care, particularly targeting socially and economically vulnerable individuals, is strongly recommended.

Fields of Study & Subjects

Diabetes Management and Education Pharmacology and Nanomedicine Research Chronic Disease Management Strategies

Publication details

Journal / source
National Journal of Community Medicine
Publisher
Medsci Publications
Volume
17
Issue
04
Pages
304–310
Publication date
1 April 2026
Language
EN