Comprehensive Analysis of Diabetes Profiles and Quality of Life among Urban Elderly: A Cross-Sectional Study in Koraput

Abstract

Introduction:
Diabetes, once perceived as a singular ailment, is now acknowledged as a diverse spectrum of diseases marked by persistent hyperglycemia. Rooted in the impaired production or function of insulin, it poses complications spanning cardiovascular, renal, neurological, ocular, and infectious conditions. Quality of life (QOL) is pivotal, reflecting healthcare objectives, with diabetes impacting QOL through various demographic and psychosocial factors. This study explores the diabetes profile and QOL in urban elderly, addressing the observed noncommunicable disease risk factors.
Methodology:
A cross-sectional study in Koraput from March 2022 to January 2023 included 220 individuals aged 60 and above. Prevalence estimates were based on reported data, and a multistage random sampling technique was used. Questionnaires covered biosocial characteristics, family history, diabetes symptoms, investigations, and WHO-QOL BREF scale. Statistical tools analyzed data and
drew conclusions through comparative analysis.
Results:
Participants (mean age 64.57 ± 4.42 years) showed 20.45% diabetes prevalence. QOL scores varied across domains, with Psychological (43.45 ± 7.52) highest and Physical (39.56 ± 8.29) lowest. Significant differences occurred in overall, physical, and environmental domains. Relationships between diabetes and sociodemographic variables, family history, alcohol consumption, physical exercise, and family history of diabetes were significant.

Discussion:
Urban diabetes prevalence aligns with comparable studies, emphasizing the evolving understanding of diabetes complexity. QOL dynamics revealed diverse perspectives, notably in the Environmental domain (45.34) and Physical domain (38.10), contrasting with previous studies. These variations underscore the influence of population and setting on QOL domains.
Conclusion:
This study illuminates diabetes complexity and its impact on QOL in the urban elderly. Findings emphasize the need for personalized interventions to address unique challenges. Insights contribute to targeted healthcare strategies for specific subpopulations.