A community-based cross-sectional study of cardiovascular risk in a rural community of Puducherry

Shrivastava, Saurabh RamBihariLal; Ghorpade, Arun Gangadhar; Shrivastava, PrateekSaurabh

doi:10.4103/1995-705x.172195

Cited by 7 publications

(9 citation statements)

References 22 publications

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“…(2015),[ 12 ] and Shrivastava et al . (2015)[ 19 ] documented similar results with majority of the patients falling under low-risk (<10%) category for CVDs.…”

Section: Discussionsupporting

confidence: 52%

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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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“…(2015),[ 12 ] and Shrivastava et al . (2015)[ 19 ] documented similar results with majority of the patients falling under low-risk (<10%) category for CVDs.…”

Section: Discussionsupporting

confidence: 52%

“…In contrast to this, Shrivastava et al . (2015)[ 19 ] documented in their study that maximum (36.2%) of the diabetics had high (≥20%) CVD. This disparity might be because of differing socio-demographic profile, family history of CVD risk factors, and dietary habits among the study participants.…”

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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“…This was relatively higher as compared to another carried out in Group C employees in Puducherry where only 4% individuals with CVD risk >10% [15]. Another community based cross sectional study in Puducherry found 17% participants with CVD risk >30% [18].Internationally, a study carried out in three Asian countries found high CVD risk in 6%, 2.3% and 1.3% study participants in Mongolia, Malaysia and Cambodia respectively [19].…”

Section: Discussionmentioning

confidence: 73%

“…Sample size-Sample size was calculated using Epi Info TM 7. Sample size calculated for estimation of CVD risk for 99% confidence interval, with an acceptable deviation of 10%, at an expected frequency of 20% was 106 [18]. However, a total of 116 individuals were included in the study.…”

Section: Methodsmentioning

confidence: 99%

Health status of traffic police personnel in Chennai city

Sridher

Thulasiram

Rishwanth

et al. 2017

Public Health Rev: Int J Public Health Res

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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.

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“…A previous study conducted in Puducherry, reported that 17% of subjects had moderate to high risk of developing CVD in next 10yrs. 7 With 5% allowable error and using formula 4pq/ d 2 the sample size derived as 225. Totally, 230 study participants were involved in the study using simple random sampling method to select the households for the study.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Cardiovascular Risk and Knowledge on Risk Factors among a Rural Population in Mangalore, Karnataka

2020

IJPHRD

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Introduction:The major causes of CVD in low and middle income countries includes globalization, rapid unplanned urbanization and increasing sedentary lifestyle. Awareness of CVD and the risk factors of the same are significant in preventing and reducing CVD deaths.Aims & Objectives: To assess the magnitude of association between the knowledge regarding the risk factors for cardiovascular disease and risk of developing CVD in next 10 years. Methodology: A cross sectional study conducted in Rural Mangalore among 230 participants, selected based on simple random sampling. A pre -validated, pre -tested and semi structured questionnaire to observe socio demographic characteristics, WHO/ISH Risk prediction algorithm was used to predict risk of CVD and likert scale was used to assess knowledge. Chi Square test was done to test the significance (p<0.05). Results: 64.8% had < 10% risk of which, 40.4% were males and 24.3% were females. 5.2% had > 40% risk which is the highest risk score of which 3.9% were males and 1.3% were females. Males (53.9%) had better knowledge on CVRF than females (28.3%). As age increases, knowledge decreases. Conclusion: Education was directionally proportional to the knowledge whereas age was inversely proportional to the Knowledge.

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A community-based cross-sectional study of cardiovascular risk in a rural community of Puducherry

Cited by 7 publications

References 22 publications

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

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

Health status of traffic police personnel in Chennai city

Assessment of Cardiovascular Risk and Knowledge on Risk Factors among a Rural Population in Mangalore, Karnataka

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