2018
DOI: 10.1007/s40267-018-0515-1
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Prediction of cardiovascular risk in a rural Indian population using WHO/ISH risk prediction charts: a community-based cross-sectional study

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Cited by 7 publications
(12 citation statements)
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“…Balaji et al . (2018)[ 17 ] in their study observed similar trend with the maximum (26.0%) prevalence of hypertension being among the low-risk (<10%) group of study participants, while Ghorpade et al . (2015)[ 12 ] found that the prevalence of hypertension was maximum (86.2%) among the high-risk (≥20%) groups.…”
Section: Discussionsupporting
confidence: 58%
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“…Balaji et al . (2018)[ 17 ] in their study observed similar trend with the maximum (26.0%) prevalence of hypertension being among the low-risk (<10%) group of study participants, while Ghorpade et al . (2015)[ 12 ] found that the prevalence of hypertension was maximum (86.2%) among the high-risk (≥20%) groups.…”
Section: Discussionsupporting
confidence: 58%
“…Balaji et al . (2018)[ 17 ] reported similar findings where 50.8% of the smokers had low risk of CVD while only 16.1% were in the high-risk category, while Ghorpade et al . (2015)[ 12 ] observed that 58.6% of the smokers had moderate risk of CVD and 34.6% had high risk of CVD.…”
Section: Discussionmentioning
confidence: 78%
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“…On estimating the Cardiovascular disease risk using risk prediction charts by WHO/ISH , with and without cholesterol, almost the similar trend was observed with the both charts with more than three-fourth of the study participants having low (<10%) risk of Cardiovascular disease. Previous studies done by Balaji et al (2018), [17] Patil et al (2017), [18] Ghorpade et al (2015), [12] and [19] has documented similar results with a majority of patients falling under low risk (<10%) category for Cardiovascular diseases.…”
Section: Discussionsupporting
confidence: 56%
“…One in Salem, among women aged 40–70 years which found 6.5% high CVD risk[ 15 ] and the other in a village near Chennai among both men and women, where 6.25% had high CVD risk. [ 16 ] These geographic and rural/urban contextual differences have also been exhibited in a systematic analysis of coronary heart disease (CHD) rates in India, where CHD rates were higher in rural North India and urban South India,[ 17 ] owing to commonality in patterns unhealthy diet and physical inactivity.…”
Section: Discussionmentioning
confidence: 99%