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Abstract Content (not more than 300 word, should include: Introduction, Objective, Methodology, critical findings & Conclusion):
Abstract
Introduction
Hypertension urgencies arise due to undiagnosed hypertension, poor medication, and co-morbidities. Thus, the aim of the present study is to understand the prevalence and medications of hypertension urgency among older adults in India.
Data and Methods
We have used an analytical sample of 58,787 individuals successfully interviewed in Longitudinal Ageing Study in India (LASI). The age-sex adjusted estimates of hypertension urgency and medication was estimated. Further, micro and macro level of hypertension urgency was estimated across the chronic conditions. The probit regression model was used to find out the potential predictors of hypertension urgency among older adults.
Results
The prevalence and medication of hypertension urgency was 1.0% and 33.2%, respectively. Further, prevalence of hypertension urgency was higher among older adults with bone or joint disease (17.0%) followed by diabetes (9.7%), heart disease (9.5%) and it was lowest among the older adults with cancer (0.2%). The macro estimates suggested that by 2036, older adults aged 45 and above with the major chronic conditions i.e bone or joint disease (87 million) and diabetes (49 million), heart disease (48 million), chronic lung disease (18 million), and high cholesterol (10 million) will be hypertension urgency in India. Multivariate results have suggested that, older adults with socio-demographic characteristics such as, age, caste, religion, BMI, multiple chronic conditions with a positive coefficient indicate the higher likelihood of hypertensive urgency.
Conclusion
The prevalence of hypertension urgency among older adults is high in India. Thus, addressing hypertensive urgency through early identification and appropriate treatment strategies is essential for reducing morbidity and mortality rates associated with this condition in India.
Key words: Hypertension urgency; medication; older adults; India.
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Address & Pincode of the Presenting Author:
Dept. of Statistics, Sambalpur University, Jyoti Vihar Burla, 768019