Evidence map›Paper›PMID 28270186›Full record

ArticleBMC research notes2017

Total cardiovascular risk for next 10 years among rural population of Nepal using WHO/ISH risk prediction chart.

Mahesh Kumar Khanal, M S A Mansur Ahmed, Mohammad Moniruzzaman, Palash Chandra Banik, Raja Ram Dhungana, Pratiksha Bhandari, Surya Devkota, Arun Shayami

Abstract read
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Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mahesh Kumar KhanalBangladesh Institute of Health Sciences (BIHS), Dhaka, Bangladesh. drmkkhanal@gmail.com.
M S A Mansur AhmedDepartment of Community Medicine, Bangladesh Institute of Health Sciences, Dhaka, Bangladesh.
Mohammad MoniruzzamanDepartment of Community Medicine, Bangladesh Institute of Health Sciences, Dhaka, Bangladesh.
Palash Chandra BanikDepartment of Community Medicine, Bangladesh Institute of Health Sciences, Dhaka, Bangladesh.
Raja Ram DhunganaBangladesh Institute of Health Sciences (BIHS), Dhaka, Bangladesh.
Pratiksha BhandariPadmakanya Multiple Campus, Tribhuvan University (TU), Kathmandu, Nepal.
Surya DevkotaInstitute of Medicine (IOM), Tribhuvan University, Kathmandu, Nepal.
Arun ShayamiInstitute of Medicine (IOM), Tribhuvan University, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVD) are the leading cause of morbidity and mortality globally. Primary prevention of CVD based on total CVD risk approach using WHO/ISH risk prediction chart would be more effective to stratify population under different risk levels, prioritize and utilize the scarce resources of low and middle-income countries. This study estimated total 10-year CVD risk and determined the proportion of population who need immediate drug therapy among the rural population of Nepal.

methodsA community based cross-sectional study conducted among 345 participants aged 40-80 years in rural villages of Lamjung District of Nepal. They were selected randomly from total eighteen wards. Data were collected using WHO STEPS questionnaires. WHO/ISH risk prediction chart for SEAR D was used to estimate total cardiovascular risk. Chi-square and independent t-test were used to test significance at the level of p < 0.05 in SPSS version 16.0.

resultsOf the total participants, 55.4% were female. The mean age (standard deviation) of the participants was 53.5 ± 10.1 years. According to WHO/ISH chart proportions of low, moderate and high CVD risk were 86.4%, 9.3%, and 4.3%, respectively. Eleven percent of participants were in need of immediate pharmacotherapy. Age (p = 0.001), level of education (p = 0.01) and occupation (p = 0.001) were significantly associated with elevated CVD risk.

conclusionA large proportion of Nepalese rural population is at moderate and high CVD risk. Immediate pharmacological interventions are warranted for at least one in every ten individuals along with lifestyle interventions. Both population-wise and high-risk approaches are required to minimize CVD burden in the future.

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesCross-Sectional StudiesEducational StatusFemaleHumansMaleMiddle AgedNepalPrevalencePrimary PreventionPrognosisRisk AssessmentRisk FactorsCardiovascular diseasesRisk predictionRural populationTotal 10-year CVD riskWHO/ISH chart

Identifiers

PMID28270186
PMCPMC5341399

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.