Risk prediction of cardiovascular event using WHO/ISH chart and awareness regarding the cardiovascular risks among adult population in rural areas of Krishnagiri district, Tamil Nadu: a cross-sectional study
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20254032Keywords:
ABCD questionnaire, Awareness, Cardiovascular disease (CVD), Rural area, WHO/ISH Chart`Abstract
Introduction: Identification of risks and increasing awareness levels is essential for primary and secondary prevention of cardiovascular diseases (CVD). Our study focused on distribution of risk for cardiovascular events and the awareness levels among the rural adult population.
Method: A cross-sectional study was conducted among 220 participants in ten selected villages in Hosur, Krishnagiri district. Participants aged above 40 years were selected by systematic random sampling with allocation proportional to village population. Data were collected using a pre-tested questionnaire, anthropometric measurements, and laboratory investigations. WHO/ISH chart (laboratory based) was used to predict 10 years risk for CVD and ABCD questionnaire containing 4 domains with total score of 80 was used to assess the awareness for CVD risks.
Results: The mean age of the participants was 53.4±9.6 years, and 30% were males. The study predicted that 20% (95% CI:14.2%-25.2%) of the participants were at moderate-high risk for CVD. The mean score for awareness was 50.0±4.6. Those divorced/separated (X2=25.3, p <0.001) had a significant high risk for CVD. Those with education above high school (F=3.3, p=0.014), non-tobacco users (t=4.5, p=<0.001), and hypertensives (t=2.2, p=0.023) had higher awareness levels.
Conclusion: The proportion of population at moderate-high risk for CVD was 20%. Awareness regarding CVD risks was 50.0±4.6(out of 80). Use of WHO/ISH chart at grass root level will help in the identification of individuals at moderate to high risk. Regular health education sessions in the community are needed to enhance awareness levels.
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References
Harikrishnan S, Jeemon P, Mini GK, Thankappan KR, Sylaja PG. GBD 2017 causes of death collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the global burden of disease study. 2017.
Mensah GA, Roth GA, Fuster V. The global burden of cardiovascular diseases and risk factors: 2020 and beyond. J Am Coll Cardiol. 2019;74(20):2529-32. DOI: https://doi.org/10.1016/j.jacc.2019.10.009
Fuster V. Global burden of cardiovascular disease: time to implement feasible strategies and to monitor results. J Am Coll Cardiol. 2014;64(5):520-2. DOI: https://doi.org/10.1016/j.jacc.2014.06.1151
Flora GD, Nayak MK. A Brief Review of Cardiovascular Diseases, Associated Risk Factors and Current Treatment Regimes. Curr Pharm Des. 2019;25(38):4063-84. DOI: https://doi.org/10.2174/1381612825666190925163827
Jeemon P, Prabhakaran D, Huffman MD, Ramakrishnan L. Distribution of 10-year and lifetime predicted risk for cardiovascular disease in the Indian Sentinel Surveillance Study population (cross-sectional survey results). BMJ Open. 2011;1(1):68. DOI: https://doi.org/10.1136/bmjopen-2011-000068
Smith Jr SC. Multiple risk factors for cardiovascular disease and diabetes mellitus. American J Med. 2007;120(3):3-11. DOI: https://doi.org/10.1016/j.amjmed.2007.01.002
Norman G, George CE, Krishnamurthy A, Mukherjee D. Burden of cardiovascular risk factors of a rural population in South India using the WHO multivariable risk prediction algorithm. Int J Med Sci Public Health. 2014;3(6):764-8. DOI: https://doi.org/10.5455/ijmsph.2014.180320141
Mendis S, Lindholm LH, Mancia G. World Health Organization (WHO) and International Society of Hypertension (ISH) risk prediction charts: assessment of cardiovascular risk for prevention and control of cardiovascular disease in low and middle-income countries. J Hypert. 2022;25(8):1578-82. DOI: https://doi.org/10.1097/HJH.0b013e3282861fd3
George C, Andhuvan G. A population-based study on Awareness of Cardiovascular Disease Risk Factors. Indian J Pharm Pract. 2014;7(2):23. DOI: https://doi.org/10.5530/ijopp.7.2.5
Ghorpade AG, Shrivastava SR, Kar SS, Sarkar S, Majgi SM, Roy G. Estimation of the cardiovascular risk using World Health Organization/International Society of Hypertension (WHO/ISH) risk prediction charts in a rural population of South India. International J Health Policy Man. 2015;4(8):531. DOI: https://doi.org/10.15171/ijhpm.2015.88
Newtonraj A, Kannan KS. Cardiovascular Risk Screening in A Rural Area in India and Markov Modelling for Cost Effectiveness. 2002.
Woringer M, Nielsen JJ, Zibarras L, Evason J, Kassianos AP, Harris M, et al. Development of a questionnaire to evaluate patients’ awareness of cardiovascular disease risk in England’s National Health Service Health Check preventive cardiovascular programme. BMJ Open. 2017;7(9):14413. DOI: https://doi.org/10.1136/bmjopen-2016-014413
Aminde LN, Takah N, Ngwasiri C, Noubiap JJ, Tindong M, Dzudie A. Population awareness of cardiovascular disease and its risk factors in Buea, Cameroon. BMC Publ Health. 2017;17:45-60. DOI: https://doi.org/10.1186/s12889-017-4477-3
Wong CW, Kwok CS, Narain A, Gulati M, Mihalidou AS, Wu P, et al. Marital status and risk of cardiovascular diseases: a systematic review and meta-analysis. Heart. 2018;104(23):1937-48. DOI: https://doi.org/10.1136/heartjnl-2018-313005
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