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Quality of life of Type II Diabetic patients

Ghimire, S.; Neupane, G.; Sah, C.; Ghimire, M. R.; Soti, B.

2024-11-08 endocrinology
10.1101/2024.11.07.24316896 medRxiv
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ObjectiveDiabetes mellitus poses significant challenges to individuals well-being, affecting various aspects of their lives beyond the physical symptoms of the disease. Understanding the multidimensional aspects of QoL among diabetic patients is crucial for providing holistic healthcare interventions and improving overall health outcomes. The study aims to evaluate the quality of life of Type II Diabetes Mellitus patients. Research Design and MethodsDescriptive cross-sectional study was conducted among 334 diagnosed cases of Type 2 Diabetes Mellitus for more than or equal to 6 months attending the outpatient department of UCMS-TH. Non-probability purposive sampling technique was used to select samples for the study. The WHOQOL-BREF questionnaire was used to measure QoL. Data were analyzed with descriptive statistics (frequency, percentage, mean, standard deviation) and inferential statistics (t-tests or one way ANOVA) to explore associations between QoL domains and sociodemographic characteristics. ResultsMore than half (56.6%) of the respondents were between the age group of 41-60 years with mean age of 58.42. Highest mean score {+/-} SD was found in social domain (60.77 {+/-} 13.83) followed by environmental domain (56.05 {+/-} 10.38) and psychological domain (55.67 {+/-}8.44) with least mean domain score in physical domain (49.99 {+/-} 14.53). The results show that diabetic patients, particularly women and those with comorbid conditions, report lower quality of life in all domains. Additionally, no significant association was found between having a family history of diabetes and quality of life. There was high positive correlation between physical and environmental domain of quality of life (r = 0.70, p < 0.001). ConclusionComprehensive management strategies focusing on all dimensions of health is necessary to improve the quality of life of patients with Diabetes Mellitus.

Published in F1000Research (predicted rank #6) · training set

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