Gender difference in metabolic syndrome and quality of life among elderly people in Noakhali, Bangladesh

Background: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that significantly heighten the risk of non-communicable diseases, affecting the quality of life (QOL) of millions, including the elderly. Hence, the study aims to assess the prevalence of MetS and its impact on QOL among...

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Bibliographic Details
Main Authors: Marjia Sultana, Md. Mehedi Hasan, Towhid Hasan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025001148
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Summary:Background: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that significantly heighten the risk of non-communicable diseases, affecting the quality of life (QOL) of millions, including the elderly. Hence, the study aims to assess the prevalence of MetS and its impact on QOL among elderly population, with a focus on gender differences. Methods: A cross-sectional study was conducted involving 400 elderly participants sought care at Noakhali General Hospital, Noakhali, Bangladesh. MetS was diagnosed based on National Cholesterol Education Program's (NCEP) Adult Treatment Panel (ATP) III criteria, while QOL was assessed using the brief version of the World Health Organization's QOL (WHOQOL-BREF) tool. Results: Results revealed that over 70 % of the elderly participants had MetS, with a significantly higher prevalence among females (79.2 %) compared to males (66.7 %). Gender disparities were also evident in QOL scores, with males reporting better outcomes across all domains—physical, psychological, social, and environmental. Multiple linear regression analysis indicated that MetS negatively impacted the overall QOL for both genders, with more pronounced effects observed in females. Conclusion: The findings underscore the necessity of gender-specific interventions targeting MetS management to improve the overall well-being of the elderly.
ISSN:2405-8440