Cardiovascular Risk Assessment Using WHO/ISH Risk Prediction Charts In a Rural Area of North India

Bansal, Priya; Chaudhary, Anurag; Wander, Praneet; Satija, Mahesh; Sk, Sharma; Girdhar, Sangeeta; Kaushal, Pushapindra; Gupta, Vikram

doi:10.5455/jrmds.20164210

Cited by 17 publications

(16 citation statements)

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“…The results was similar with the findings of Dhungana RR et al which was conducted to assess the Risk of CVD among adults in Kathmandu, Nepal. 7 The results was also consistent with the results of a study carried out in rural areas of north India by Bansal P et al (2016). 8 The present study identified high blood sugar and high systolic Blood pressure as strong foretell of CVD risk.…”

Section: Discussionsupporting

confidence: 91%

“…7 The results was also consistent with the results of a study carried out in rural areas of north India by Bansal P et al (2016). 8 The present study identified high blood sugar and high systolic Blood pressure as strong foretell of CVD risk. This result was similar to the findings of a study carried out in rural Nepal that concluded Increase blood pressure and presence of diabetes mellitus are the strong risk factors for the development of CVD.…”

Section: Discussionsupporting

confidence: 91%

“…5 The results was also similar with the results of a study carried out in rural areas of north India by Bansal P et al (2016). 8 Study result showed abdominal obesity had a higher cardiovascular risk compared with normal individuals, and was statistically significant (p=0.0001). Waist circumference (WC) used as a measure of central obesity.…”

Section: Discussionmentioning

confidence: 85%

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Predicting 10-year Cardiovascular Risk Using WHO/ISH Risk Prediction Chart among Rural Population in Haryana, India

Pooja Jaswal,

Pabalpreet Kaur,

Jyoti Sarin

2021

Indian Journal of Forensic Medicine & Toxicology

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Background: CVD are leading cause of premature Deaths worldwide. Coronary vascular disease (CVD) risk estimation tools are a simple means of early identifying those at high risk in a community. It seems to be a cost-effective strategy for CVD prevention in developing countries. The WHO /ISH risk prediction charts estimates risk of people having CVD's for next ten years, who do not develop coronary heart disease or stroke. Methods: A total of 100 subjects between 40 to 70 years of age were included in this cross sectional study. Total 100 families were visited and subjects were selected randomly. CVD risk was calculated by asking information from the subjects regarding Age, gender, smoking status, measuring their blood pressure, history of diabetes. The chart classifies an individual into different risk of having CVD'S that categorized into low (<10%), moderate (10% to <20%), high (20% to <30%), and very high (>30%) risk groups. Results: Less than two-third (62%) of population has less than 10% CVD risk, followed by less than one-third (31%) of the population had CVD risk of between 10-to <20% for the next 10 years. Only 6 subjects had 20-<30% of risk followed by 1% CVD risk between 30-<40%.Age, More SBP, Abdominal obesity, smoking, diabetes mellitus and More BMI (p<0.0001) were significantly associated with higher CVD risk. Conclusions: WHO/ISH Chart should be used by peripheral health workers for early identification of people with a high risk for CVD and provide timely services in reducing the complications and premature deaths related to CVD in India.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

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Predicting 10-year Cardiovascular Risk Using WHO/ISH Risk Prediction Chart among Rural Population in Haryana, India

Pooja Jaswal,

Pabalpreet Kaur,

Jyoti Sarin

2021

Indian Journal of Forensic Medicine & Toxicology

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“…In a similar study conducted in the same field practice area among the adults attending a health examination camp, Bansal et al observed that 44.4% subjects had more than 10% risk for fatal or non fatal myocardial infarction or stroke in 10 years. 25 In another community based cross sectional study in Karnataka, Norman et al observed that over 15% of the population had a high risk of CVD (>30%). 21 Reason behind these variations could be attributed to difference in lifestyle and diet between north and south India.…”

Section: Discussionmentioning

confidence: 99%

A community based cross sectional study to estimate total cardiovascular risk in rural Punjab

Vikramaditya

Satija

Chaudhary

et al. 2017

Int J Community Med Public Health

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Background: Cardiovascular diseases (CVD) are leading cause of non communicable deaths in India. CVD risk prediction charts by World Health Organization/International Society of Hypertension (WHO/ISH) are designed for implementing timely preventive measures. The objective of the study was to assess the prevalence of CVD risk parameters and to estimate total CVD risk among adults aged ≥40 years, using the WHO/ISH risk charts alone and also to assess the effect of the inclusion of additional criteria on CVD risk.Methods: A community based cross sectional study was conducted in fifteen villages of Ludhiana district under rural health training centre of Department of Community Medicine, Dayanand Medical College & Hospital, Ludhiana, Punjab. Desired information was obtained using WHO STEPS survey (STEP wise approach to surveillance) from 324 adults aged ≥40 years. Anthropometric, clinical and laboratory measurements were also performed. WHO/ISH risk prediction chart for South East Asian region (SEAR-D) was used to assess the cardiovascular risk among the subjects.Results: WHO/ISH risk prediction charts identified 16.0% of the subjects with high risk (≥20%) of developing a cardiovascular event. The study population showed higher prevalence of physical inactivity, obesity, abdominal obesity, hypertension and diabetes. Amongst high risk CVD group, maximum prevalence was of hypertension and high perceived stress level. However, the proportion of high CVD risk (≥20%) increased to 33.6% when subjects with blood pressure ≥160/100 mmHg and /or on hypertension medication were added as high risk.Conclusions: A substantial proportion of this community is at high risk of developing cardiovascular diseases.

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“…reported this as 44.4%. [ 18 ] Reason for higher prevalence in their study may be due to higher age group (≥40 years) and outpatient department based recruitment of the study participants. In our study, as calculated by FRS calculator 25.1% of participants had a moderate risk and 25.8% had a high or very high risk of developing CVD in next 10 years.…”

Section: Discussionmentioning

confidence: 97%

Ambiguity about selection of cardiovascular risk stratification tools: Evidence from a North Indian rural population

Singh

Pilania

Jat

et al. 2018

Indian J Community Med

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Cardiovascular Risk Assessment Using WHO/ISH Risk Prediction Charts In a Rural Area of North India

Cited by 17 publications

References 0 publications

Predicting 10-year Cardiovascular Risk Using WHO/ISH Risk Prediction Chart among Rural Population in Haryana, India

Predicting 10-year Cardiovascular Risk Using WHO/ISH Risk Prediction Chart among Rural Population in Haryana, India

A community based cross sectional study to estimate total cardiovascular risk in rural Punjab

Ambiguity about selection of cardiovascular risk stratification tools: Evidence from a North Indian rural population

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