The Predictors of Multimorbidity (defined as diabetes + hypertension) Amongst Males Aged 15-54 in India: An Analysis of the NFHS-5
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Research Question: “What are the predictors of multimorbidity (defined as having diabetes + hypertension) amongst males aged 15-54 in India?”Methods: Using mixed-effect multi-level binary logistic regression models, data from the 2019-2021 India NFHS-5 were analyzed. Separate multivariable analyses were conducted for males from urban and rural areas so the association between common predictors of interest (sociodemographic & lifestyle), and multimorbidity could be determined.Results: Various predictors (listed below) were found to have a statistically significant association to multimorbidity with some variation across urban and rural areas: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: Findings from this study may have possible implications for policymakers across India. With high-risk characteristics that are predictive of multimorbidity being identified, preventative and healthcare strategies may be improved.
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