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ORIGINAL ARTICLE
Year : 2015  |  Volume : 24  |  Issue : 2  |  Page : 179-184

Study of fatigue, depression, and associated factors in type 2 diabetes mellitus in industrial workers


1 Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India
2 Department of Ophthalmology, ESIC Model Hospital, Jaipur, Rajasthan, India
3 Department of Medicine, ESIC Model Hospital, Jaipur, Rajasthan, India

Correspondence Address:
Akhilesh Jain
67/39, Heera Path, New Sanganer Road, Mansarover, Jaipur - 302 020, Rajasthan
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0972-6748.181731

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Introduction: Type 2 diabetes mellitus is a significant health problem and imposes great physical, financial and psychological burden among the affected population. Among people with diabetes, fatigue is a pervasive and distressing complaint, which is further accentuated by presence of depression. Objective: To assess the prevalence of fatigue and depression and associated clinical and socio demographic correlates in type 2diabetes. Materials and Methods: This cross sectional study included 100 patients of diabetes type 2 and equal number of healthy controls between the ages of 18 to 70 years . A detailed evaluation of socio demographic and clinical parameters was made. Participants were also assessed for presence of depression and fatigue using PHQ-9 and Fatigue Severity Scale(FSS)respectively. Results: Fatigue and depression was found in 68 % and 53 % of diabetic participants. Diabetic patients were 10.37 times and 4.80 times more likely to suffer from fatigue and depression respectively. Both fatigue and depression were found to be significantly associated with duration of illness, fasting and post prandial blood glucose level ,diabetic complications and Body Mass Index (BMI). Fatigue was also strongly correlated with depression in study sample. Conclusions: Fatigue and depression are reasonably correlated with type 2 diabetes. Various clinical parameters of diabetes are strongly associated with both fatigue and depression. Fatigue itself has significant correlation with depression in type 2 diabetes. Regular monitoring of biochemical parameters are paramount to predict the development of fatigue and depression in type 2 diabetes.


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