Document Type : Original Article
Authors
- . Ravi Kant 1
- . Poonam Yadav 2
- . Shruti Barnwal 3
- . Vishal Dhiman 4
- . Bruzily Abraham 4
- . Kanchan Gawande 5
1 Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
2 College of Nursing, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
3 Department of Dermatology, Government Doon Medical College, Dehradun, Uttarakhand, India
4 Department of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
5 Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
Abstract
BACKGROUND: Type 2 diabetes mellitus (DM) is a multifactorial disease and can be described as a
noncommunicable disease of epidemic magnitude. Little is known about the predictors of depression
in this population, especially among the Indian population. This study explores the predictors for
depression in patients with type 2 DM.
MATERIALS AND METHODS: A cross‑sectional study was performed for a period of 7 months
during 2018–2019. The data were collected from 250 subjects at the diabetic clinic and psychiatry
outpatient department of a tertiary care teaching hospital. T2DM with an age group of 18–60 years
were included. Exclusion criteria were clinical evidence of any significant Axis I psychiatric disorder
according to the International Classification of Diseases‑10 Diagnostic Criteria for Research other
than depression and substance use disorders. Data were analyzed with multiple linear regression
analysis using SPSS‑23 version.
RESULTS: Male and female patients were 127 (50.80%) and 123 (49.20%), respectively. The
prevalence of depression was 49.20% among 250 patients with T2DM. Female patients had higher
depression than male patients. We found age (P = 0.013), female gender (P = 0.041), locality of the
patient (P = 0.021), body mass index (BMI) (P = 0.018), and fasting blood sugar (FBS) (P = 0.045)
as significant predictors of depression among T2DM patients.
CONCLUSIONS: The study concludes that females and elderly patients were more affected by
depression. The predictors of depression were age, gender, locality, BMI, and FBS among diabetic
patients. The findings indicate to screen the patients of T2DM for depression, predominantly female
and elderly patients, at regular intervals as per clinical demand.
Keywords
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