WORLD JOURNAL OF ADVANCE
HEALTHCARE RESEARCH

( An ISO 9001:2015 Certified International Journal )

An International Peer Review Journal for Medical Science and Pharma Professionals

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

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ISSN 2457-0400

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WJAHR Citation

  All Since 2020
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Indexing

Abstract

Dr. Priyadarshini*, Alen Saj, Albert Renjan, Abhishek J., Aasrith Krishna C., Abhinav Murali

Dr. Priyadarshini*, Alen Saj, Albert Renjan, Abhishek J., Aasrith Krishna C., Abhinav Murali

ABSTRACT

Background of the study: The incidence of stroke is increasing every year, between 180 to 300 per 100000 people. The incidence increases vertically with age and unhealthy lifestyle. About 20% of patients with an acute stroke will die within a month, and 50% of those who survive will be left with physical disabilities. In stroke, the burden of care is very high due to the chronic nature of the disease itself, the researchers were motivated to explore the risk of stroke among young adults residing in urban areas to sensitize them to the risk factors of stroke and to take preventive actions. Methodology: The descriptive study design was adopted in the study and 100 urban adults were included in the study as a study sample. The data was collected from the samples by using the following tools. The Proforma for selected personal variables and life-style risk assessment tool for stroke and it was validated by experts. The reliability of the tool was established by the split-half method. The reliability and pilot study revels the study was feasible. Results: The analysis of the study revealed that personal variables such as gender, marital status, blood pressure, dietary pattern have an association between the risk of stroke. Thus, it was concluded that lifestyle modifications in this aspect prevent the occurrence of stroke. Conclusion: The main aim of the study was focused on assessing the risk of stroke among urban adults at selected urban community in Mysuru. Data was collected among 100 samples and the data was analysed by descriptive and inferential statistics. The analysis of the study revealed that personal variables such as gender, marital status, blood pressure, dietary pattern have a significant association with the risk of stroke.

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