Predictors of Multimorbidity (Defined as Diabetes + Hypertension) Amongst Males Aged 15-54 in India: An Urban/Rural Split Analysis.

Autor:	Brar V; Department of Epidemiology and Biostatistics, Western University, London, ON, Canada., Kandala NB; Department of Epidemiology and Biostatistics, Western University, London, ON, Canada., Terry A; Department of Epidemiology and Biostatistics, Western University, London, ON, Canada.; Interfaculty Program in Public Health, Western University, London, ON, Canada.; Departments of Family Medicine and Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada., Thind A; Department of Epidemiology and Biostatistics, Western University, London, ON, Canada.; Interfaculty Program in Public Health, Western University, London, ON, Canada.; Departments of Family Medicine and Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Jazyk:	angličtina
Zdroj:	International journal of public health [Int J Public Health] 2024 Feb 01; Vol. 69, pp. 1606660. Date of Electronic Publication: 2024 Feb 01 (Print Publication: 2024).
DOI:	10.3389/ijph.2024.1606660
Abstrakt:	Objectives: This study aimed to determine which sociodemographic and lifestyle factors may act as predictors of multimorbidity (defined as diabetes + hypertension) amongst men aged 15-54 within urban and rural areas of India. Methods: Data from the latest 2019-2021 India NFHS-5 survey were utilized. Presumed cases of multimorbidity were defined as men who had DM + HTN. A total of 22,411 men in urban areas and 66,768 rural men were analyzed using mixed-effect multi-level binary logistic regression models. Results: Various predictors were found to have a statistically significant association to multimorbidity. Urban areas: Age, region of residence, wealth, religion, occupation, and BMI. Rural areas: Age, education, region of residence, wealth, occupation, caste, BMI, alcohol consumption, media exposure, and tobacco consumption. Conclusion: Departing from the broad operational definitions often studied within literature, this study provided insight into one of the most prevalent specific multimorbidities across India. The urban/rural split analyses revealed substantial differences in high-risk characteristics across both areas, which have commonly been overlooked. These findings may better inform policymakers and assist in effectively reducing multimorbidity-related burden through area-specific preventative programs. Competing Interests: The authors declare that they do not have any conflicts of interest. (Copyright © 2024 Brar, Kandala, Terry and Thind.)
Databáze:	MEDLINE
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