Evidence map›Paper›PMID 39285436›Full record

ArticleBMC public health2024

10-year risk for cardiovascular diseases according to the WHO prediction chart: findings from the National Health and Morbidity Survey (NHMS) 2019.

Halizah Mat Rifin, Mohd Azahadi Omar, Kim Sui Wan, Wan Shakira Rodzlan Hasani

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Halizah Mat RifinInstitute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia. halizah.matrifin@moh.gov.my.
Mohd Azahadi OmarSector for Biostatistics & Data Repository, National Institutes of Health, Ministry of Health, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia.
Kim Sui WanInstitute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia.
Wan Shakira Rodzlan HasaniInstitute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been a significant increase in the incidence of cardiovascular disease (CVD) in Malaysia. It is important to identify the group at high risk of CVD. This study aimed to assess the population distribution and factors associated with 10-year CVD risk among adults aged 40 to 74 years in Malaysia.

methodsThis study used secondary data from the NHMS 2019, a nationally representative cross-sectional population study. The following measurements were collected: anthropometric, systolic blood pressure, fasting blood glucose, total cholesterol, smoking, and sociodemographic. The 2019 WHO Southeast Asia laboratory-based charts were used to estimate individuals' CVD risk. These charts predict significant cardiovascular events over ten years. Multiple logistic regression analysis was employed to ascertain the factors that are linked to elevated or extremely elevated risk of CVD.

resultsA total of 5,503 respondents were included in the analysis. Less than one-quarter of the respondents were current smokers and obese. Approximately 41.7%, 30.9%, and 22.5% of the participants had extremely low risk (less than 5%), low risk (between 5% and less than 10%), and moderate risk (between 10% and less than 20%), respectively. A total of 4.9% of the participants were categorised as having high (20% to < 30%) or very high (CVD) risk (≥ 30%). This classification was more prevalent among males (7.3%) than among females (2.5%; p < 0.001). The factors associated with high/very high CVD risk were unemployment (aOR = 1.88, 95% CI = 1.47-2.40), those with non-formal and primary education level (aOR = 2.36, 95% CI = 1.36 - 4.12 and aOR = 3.28, 95% CI = 2.10 - 5.12, respectively), and being physically inactive with obesity (aOR = 2.19, 95% CI = 1.18 - 4.08).

conclusionsThis study revealed that almost 5% of the population in Malaysia has a high 10-year CVD risk. These findings highlight Malaysia's urgent need for comprehensive CVD prevention efforts.

Indexed as

Cardiovascular DiseasesAdultAgedCross-Sectional StudiesFemaleHealth SurveysHeart Disease Risk FactorsHumansMalaysiaMaleMiddle AgedRisk AssessmentRisk FactorsWorld Health Organization2019 WHO CVD prediction chartCardiovascular riskCVD prediction modelMalaysiaNHMS 2019

Identifiers

PMID39285436
PMCPMC11403776

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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.