Ten Years Risk Prediction of a Major Cardiovascular Event in a Rural Block in Tamil Nadu

Logaraj, M; Russel, John Kamala; Hegde, Sundeep K; Ramraj, Balaji

doi:10.4103/2321-449x.158878

Cited by 11 publications

(10 citation statements)

References 2 publications

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“…On age wise distribution of Cardiovascular disease risk with cholesterol, it was seen that maximum (91.0%) of study participants with the low (<10%) Cardiovascular disease risk were in the age group between 40-49 years and the majority (66.7%) of study participants with high (≥20%) Cardiovascular disease risk were in the age group between 60-69 years of age and on using Cardiovascular disease risk prediction chart without cholesterol; similar trend was observed with the majority (94.5%) of the participants of study with low (<10%) cardiovascular disease risk in the age group between 40-49 years and the majority (43.9%) of the study participants with high (≥20%) Cardiovascular disease risk in the age group between 60-69 years of age. Mutthunarayanan et al (2015) [20] and Dhungana et al (2015) [21] observed the similar results in their studies with the majority of study participants having <10% Cardiovascular disease risk in the age group between 40-49 years of age, while out of the study participants with ≥20% risk, maximum were in the age group of ≥60 years of age. About a quarter (25.9% when using charts with cholesterol and 22.6% using the charts without cholesterol) of diabetics had high (≥20%) cardiovascular disease risk, while majority of diabetics had low (<10%) risk of Cardiovascular disease.…”

Section: Discussionsupporting

confidence: 53%

“…When the WHO/ISH Cardiovascular disease risk prediction charts without cholesterol were used, the least mean BMI of 21.2 (±4.3) kg/m 2 was seen in the moderate (10-20%) risk group category and the highest mean BMI of 23.2 (±4.8) kg/m 2 was observed among the study participants with high (>20%) risk of Cardiovascular disease. In a previous study by Balaji et al (2018), [17] it was seen that BMI had an increasing trend with increasing risk of Cardiovascular disease in the study participants with 22.4 (±3.1) kg/m 2 in the low-risk group and 23.1 (±2.6) kg/m 2 in the high-risk category, while Muthunarayanan et al (2015) [20] in their study observed that majority (44.4%) of the participants had a BMI of >25 kg/m 2 . These disparities in BMI observations in present study and the previous studies might be because of differences in the composition of the study population and food habits of participants of the study owing to the geographical differences.…”

Section: Discussionmentioning

confidence: 77%

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Cardiovascular disease risk assessment in a rural population (>40 years)

Agrawal

Kumar

et al. 2022

ijhs

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Context: Cardiovascular diseases (CVDs) are the most common cause of death worldwide, although low- and middle-income countries are affected disproportionately. By 2020, it is estimated that there will be around 25 million deaths from Cardiovascular diseases globally,and out of that 19 million would be from middle- and low-income countries. Aims: The aim of this study was to estimate the 10-year risk of cardiovascular events among adults aged ≥40 years in a rural population of Meerut district using the World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts for SEAR-D region. Community based cross-sectional study, which was conducted from january 2021 to december 2021, in the rural areas of Meerut district. Methods and Material: Study was conducted on 397 subjects who were aged ≥40 years. Two sets of the WHO/ISH risk prediction charts, with and without cholesterol, for WHO SEAR-D region were used in this study. Statistical analysis used: SPSS, version 23 was used for data analysis. Results: By using the risk assessment tools, with and without cholesterol, 78.5 and 76.8%, of the population being studied were in the 10-year cardiovascular risk category with <10% risk, whereas 11.2 and 10.4%, were in the cardiovascular risk category of ≥20% risk.

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Section: Discussionsupporting

confidence: 53%

Section: Discussionmentioning

confidence: 77%

Cardiovascular disease risk assessment in a rural population (>40 years)

Agrawal

Kumar

et al. 2022

ijhs

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“…Mutthunarayanan et al . (2015)[ 20 ] and Dhungana et al . (2015)[ 21 ] observed similar results in their studies with majority of the study participants having <10% CVD risk in the age group of 40–49 years of age, while out of the study participants with ≥20% risk, maximum were in the age group of ≥60 years of age.…”

Section: Discussionmentioning

confidence: 99%

“…(2018),[ 17 ] it was seen that BMI had an increasing trend with increasing risk of CVD in the study participants with 22.4 (±3.1) kg/m 2 in the low-risk group and 23.1 (±2.6) kg/m 2 in the high-risk category, while Muthunarayanan et al . (2015)[ 20 ] in their study observed that majority (44.4%) of the participants had a BMI of >25 kg/m 2 . These disparities in BMI observations in the present study and the previous studies might be because of the differences in the composition of the study population and food habits of the study participants owing to the geographical differences.…”

Section: Discussionmentioning

confidence: 99%

Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts

Deori

Agarwal

Masood

et al. 2020

J Family Med Prim Care

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Context: Cardiovascular diseases (CVDs) are the number one cause of death globally, with low- and middle-income countries being affected disproportionately. By 2020, it is projected that there will be 25 million deaths from CVD worldwide, 19 million of which would be from middle- and low-income countries. Aims: The aim of this study was to estimate the 10-year risk of cardiovascular events among adults aged ≥40 years in a rural population of Lucknow district using the World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts for SEAR-D region. Settings and Design: This was a community based cross-sectional study, conducted from September 2017 to August 2018, in the rural areas of Lucknow district. Methods and Material: This study was conducted on 397 subjects aged ≥40 years. The two sets of the WHO/ISH risk prediction charts, with and without cholesterol, for WHO SEAR-D region were used in the study. Statistical analysis used: SPSS, version 23 was used for data analysis. Results: Using the risk assessment tools, with and without cholesterol, 78.5 and 76.8%, respectively, of the study population were in the 10-year cardiovascular risk category of <10% risk, while 11.2 and 10.4%, respectively, were in the category of ≥20% risk. Risk categories were found to be concordant in 86.3% of the population. Conclusions: The WHO/ISH risk prediction charts can be used at low-cost resource setting as a tool to predict CVD risk among asymptomatic individuals, thus, helping in early detection and prevention of CVDs in resource-scarce settings.

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“…[16] The prevalence of diabetes was 20.5% in this study, which was similar to the prevalence of diabetes as 22.8% reported by Muthunarayanan L et al in rural block of Tamil Nadu. [17] As compared to females, males had higher chances of intermediate and high CVD risk prediction. In a study done by Deori T J et al in rural Lucknow, 14.8 % males had high risk of CVD, which was more than the females, ant it was comparable to our study findings.…”

Section: Discussionmentioning

confidence: 95%

Ten Years Risk Prediction of Cardiovascular Disease among Adults in Rural Area of Dakshina Kannada, Karnataka

Gupta¹,

Singh²,

Naik³

et al. 2022

JMSH

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Background: Cardiovascular disease (CVD), one of the non-communicable diseases, has become a major public health problem and it is a leading cause of morbidity and mortality in both developing and developed countries. The important CVD risk factors are obesity, hypertension, diabetes, hyperlipidaemia, unhealthy diet, physical inactivity and tobacco use. Cardiovascular risk approach is feasible and cost-effective tool, which helps to identify those at high risk for developing CVDs, so that immediate preventive measures or action can be taken to reduce the risk. Objectives: estimate the ten-year risk of developing cardiovascular disease using Framingham heart risk assessment score. Materials and Methods: A community-based, cross-sectional study was conducted among adults residing in a rural area of Dakshina Kannada District for a period of 6 months from July 2013 to December 2013. The data was collected using pretested semi structured questionnaire through interview methods. Anthropometric measurement and blood investigation (fasting blood sugar and lipid profile) was done. The Framingham Risk Score is a gender-specific algorithm used to estimate the 10-year cardiovascular risk of an individual Results: Among 712 study participants, 95 (13.3%) and 20 (2.8%) participants had intermediate and high risk of developing cardiovascular disease in 10 years respectively. The proportion of intermediate CVD risk prediction and high-risk predication was more in males as compared to females. Conclusion: The cardiovascular risk factors like obesity, physical inactivity, diabetes and hypertension are widely prevalent among adults in rural areas. The high-risk prediction for developing CVD among study participants in next 10 years was 2.8%. Keywords: Cardiovascular risk factors, Framingham risk score, 10 years CVD risk prediction, Prevalence

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Ten Years Risk Prediction of a Major Cardiovascular Event in a Rural Block in Tamil Nadu

Cited by 11 publications

References 2 publications

Cardiovascular disease risk assessment in a rural population (>40 years)

Cardiovascular disease risk assessment in a rural population (>40 years)

Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts

Ten Years Risk Prediction of Cardiovascular Disease among Adults in Rural Area of Dakshina Kannada, Karnataka

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