Abstract

Background: Cardiovascular diseases (CVD), largely heart disease and stroke, accounts for almost half of all NCD-related deaths and is now the leading cause of death in low- and middle-income countries (LMIC). There are several risk factors which are responsible for developing CVDs. Many of the risk factors such as smoking, hypertension, dyslipidaemia, diabetes, physical inactivity and obesity are potentially modifiable by health counselling. Cardiovascular diseases are preventable so accurate estimation of CVD risk is vital for both prevention and management of CVD as well as designing long term policies and programs to combat the challenges posed by them. Material and Methods: A cross sectional descriptive study was done in Chaman colony which was formed by Chandigarh Housing Board for extra weaker section. A total 200 study subjects were enrolled by total enumerative sampling. The data collection tool was a structured interview schedule, and participants were subjected to bio-physiological measurements. WHO/ISH cardiovascular risk prediction charts for the South-East Asian region was used to predict the cardiovascular risk. Statistical analysis was done using SPSS version 16 and appropriate statistical tests were applied. Result: The result showed that 76% of the subjects were in low risk category ( 20 %) includes only 8.5% of the subjects. The prevalence of other risk factors of CVD was hypertension (32%), diabetes (18%), obesity (41.5%), current tobacco user (11.5%) and current alcohol user (7.5%). Conclusion: This study concluded that there is significant proportion of population in moderate to high risk category, which is an alarming sign. Thus more educational programs have to be conducted for the general public so as to make some necessary changes in their lifestyle to reduce risk of CVD events. Keywords: Cardiovascular diseases, WHO/ISH risk prediction charts, risk factor, CVD risk Cite this Article Parul Thakur, Heena, Shefi et al. Assessment of Total Cardiovascular Risk using WHO/ISH Risk Prediction Charts in Chaman Colony, Dhanas, Chandigarh in India. Research & Reviews: Journal of Medicine. 2017; 7(2): 1–6p.

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