Evaluating the Prehypertension and Hypertension with associated Risk Factors in India: Evidence from LASI Data

Main Article Content

Annapurna
Afifa Aftab
Sangeeta Kansal
Alok Kumar

Abstract

India’s cardiovascular conditions and healthcare systems are significantly impacted by hypertension. This study aims to provide estimates of the prevalence of hypertension, and pre-hypertension, in India. Furthermore, it identifies lifestyle modifications to reduce hypertension in age groups of 45–59 and 60+. This study uses data from the Longitudinal Ageing Study in India, 2017–2018, which includes information on 31,197 adults (45–59) and 28,567 older adults (60+). Descriptive, multivariate, and multinomial regression analyses have been performed to ascertain the prevalence and correlation of socioeconomic characteristics and related risk factors. The finding of this study suggests that individuals in the 60+ age group have a higher prevalence of hypertension. In contrast, a higher prevalence of pre-hypertension can be seen in the 45–59 age group. Gender, place of residence, living arrangement MPCE quintile, family history of hypertension, body mass index, self-rated health, and alcohol consumption are significantly associated with pre-hypertension and hypertension. There is a need for public awareness and control since people with age 45–59 are less aware of hypertension; otherwise, unintentionally, they can develop more risk with aging. Methods of modifying one’s lifestyle and dietary changes have a significant impact on the prevention of hypertension; that is why there is a great need for people to be aware of all these.

Article Details

How to Cite
Annapurna, Aftab, A., Kansal, S., & Kumar, A. (2023). Evaluating the Prehypertension and Hypertension with associated Risk Factors in India: Evidence from LASI Data. Journal of Population and Social Studies [JPSS], 31, 724–744. Retrieved from https://so03.tci-thaijo.org/index.php/jpss/article/view/265532
Section
Research Articles
Author Biography

Alok Kumar, Department of Statistics, Institute of Science, BHU, India

Corresponding author

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