Quality of life assessment by using whoqol-bref score among type 2 diabetic population coming to atertiary health care center of western uttar pradesh region: a cross sectional study

Author: 
Ms. Seema Raghav, Dr. Jyoti Goyal, Ms. Purnimabajpai, Dr. Paramjeet Singh Bhatia, Dr. Karunesh Prasad and Mr. Ajendra Pratap Sharma

Background: Quality of Life assessment is considered to be as an important parameter for assessment of disease related outcome especially in context with chronic diseases like diabetes, which might have a negative impact on general wellbeing. In this study we have measured the QOL of patients suffering from type 2 diabetes by using WHOQOL-BREF score and also tried to assess the correlation of QOL with various demographic and laboratory parameters. Materials and Methods:This cross-sectional study was conducted after the approval from IECby the department of internal medicine of Nayati Healthcare and Research center, Mathura, India. A total of 100 type 2 diabetic participants fulfilling the inclusion criteria were enrolled in the study. For this study purpose we have used WHOQOL – BREF Questionnaire available in English and was being translated into Hindi by linguistic experts. This questionnaire was validated by conducting a pilot study over 30 patients. The cronbach-alpha for determining the internal consistency of the questionnaire was 0.89 suggesting high level of reliability. Results: Out of 100 type 2 diabetics, 71% were males. The mean age was 52.7 ±10.6. 97% participants were married. 68% were from urban area and 61% had the family income of Rs<50,000 per month. Total 66% were coming in either obese or overweight category. The average transformed scores calculated by the equation for computing domains scores was found to be 65.33; 63.58; 70; 67.69 for domain 1,2,3,4 respectively. Age is found to have statistically significant correlation (p value<.028)) with domain 4 and income status showed statistically significant correlation (p value <0.05) with Domain 2. Conclusion: QOL is an important parameter and should always be taken into consideration while managing type 2 diabetics. There are various demographic, laboratory, disease related and life-style related parameters which can affect QOL. Comprehensive care of diabetics including assessment of QOL and modifying treatments accordingly may improve the overall quality care of these patients.

Paper No: 
2947