Cardio vascular Disease (CVD) Risk estimation among 40 years and older using WHO/ISH risk prediction charts

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Cardio vascular Disease (CVD) Risk estimation among 40 years and older using WHO/ISH risk prediction charts

Journal Title: Public Health Review - Year 2017, Vol 4, Issue 5

Abstract

Introduction: Evidence based programme to reduce fatal/non-fatal CVDs can be formulated using WHO/ISH risk prediction charts. Use of combined risk approach is effective in identification of individuals requiring intervention. Objective: To determine 10 year cardiovascular risk and prevalence of selected risk factors for CVDs among 40 years and older population in an urbanfield practice area of a medical college. Material and methods: This was a cross sectional study conducted with sample size of 116. Inclusion criteria was age >40 years and without CVDs. WHO/ISH risk charts were used. Pilot tested, structured, interview based questionnaire was administered followed by clinical examination to determine prevalence of selected CVD risk factors in the community. Results: Mean age was 56.23 + 10.6 years and majority (74.1%) were females. High 10 year risk of cardiovascular events, family history of CVDs, high BMI, increased risk of metabolic complications, abdominalobesity, hypertension and smoking was seen in 23%,33.6%,79.3%,44.8%,52.6%,56.9% and 10.3% respectively. Significant gender difference was seen in prevalence of smoking, physical inactivity, overweight, increased risk of metabolic complications, and abdominal obesity (p= 0.044, 0.036, 0.000, 0.000, and 0.001 respectively). Higher prevalence of Hypertension, Diabetes, abdominal obesity, overweight, and smoking was found in individuals at high 10 year risk of CVD event. Conclusion: The present study document high 10-year risk of cardiovascular events and prevalence of risk factors. Identification of individuals at high risk of CVDs is crucial to mitigate rapidly growing CVD burden in the country.

Authors and Affiliations

Gurpreet Singh, Gurprit S Nanda, Harinder Singh

Keywords

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EP ID EP287463
DOI 10.17511/ijphr.2017.i5.05
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