IJHSR

International Journal of Health Sciences and Research

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Year: 2024 | Month: November | Volume: 14 | Issue: 11 | Pages: 45-51

DOI: https://doi.org/10.52403/ijhsr.20241105

Prevalence and Predictors of Depression in Diabetic Patients – An Institution Based Screening in West Bengal

Shampa Sarkar Gupta1, Uma Rani Adhikari2

1Westbank College of Nursing, Howrah, West Bengal, India.
2College of Nursing NRS Medical College and Hospital Kolkata, West Bengal, India.

Corresponding Author: Shampa Gupta

ABSTRACT

Background: Depression is a highly prevalent and common cause of disabilities among the diabetic population. The presence of depression affects self-management behaviors and glycemic control leading to an increase morbidity and mortality rate but remains undiagnosed in many cases.
Aims: This study aims to assess the prevalence and predictors of depression in diabetic patients at a selected tertiary health care centre, Kolkata, West Bengal.
Methods: A cross-sectional survey was carried out with 290 diabetic patients attending endocrinological OPD in July - September 2021 at selected Govt. Hospital, Kolkata. Depression was screened through Patient Health Questionnaire (PHQ9). The sociodemographic and clinical characteristics of the participants were assessed through validated semi-structured interview schedule. Binary logistic regression was computed to assess the predictors of depression. Statistical significance was detected at p < 0.05.  
Result: Total 290 adult diabetic patients were screened for depression. The prevalence of depression was 56.9% (mild – 56.83%, moderate – 26.43% and severe – 16.74%).  Marital status (AOR:  2.243, 95% CI=1.063, 4.734), family support (AOR:  2.073, 95% CI=1.257, 3.419) and poor glycemic control, PPBS level > 180 mg/dl (AOR: 1.665, 95% CI=1.018 – 2.722) were proved as the independent predictors of depression in this study population
Conclusion: Depression was present in more than half of the diabetic patients. Early detection of depression and family involvement would be helpful in glycemic control and better outcome.

Key words: Prevalence, Predictors, Depression, Diabetes mellitus.

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