Evidence map›Paper›PMID 33085718›Full record

ArticlePloS one2020

Cardiovascular disease risk factors among older people: Data from the National Health and Morbidity Survey 2015.

Shariff Ghazali Sazlina, Rajini Sooryanarayana, Bee Kiau Ho, Mohd Azahadi Omar, Ambigga Devi Krishnapillai, Noorlaili Mohd Tohit, Sheleaswani Inche Zainal Abidin, Suthahar Ariaratnam, Noor Ani Ahmad

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Shariff Ghazali SazlinaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID 0000-0002-5737-7226
Rajini SooryanarayanaFamily Health Development Division, Ministry of Health Malaysia, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia.
Bee Kiau HoKlinik Kesihatan Bandar Botanik, Ministry of Health Malaysia, Bandar Botanic, Klang, Selangor, Malaysia.
Mohd Azahadi OmarNational Institutes of Health, Ministry of Health Malaysia, Setia Alam, Shah Alam, Malaysia.
Ambigga Devi KrishnapillaiDepartment of Family Medicine, Faculty of Medicine and Health, National Defense University of Malaysia, Kuala Lumpur, Malaysia.
Noorlaili Mohd TohitDepartment of Family Medicine, Faculty of Medicine, National University of Malaysia, Cheras, Kuala Lumpur, Malaysia.
Sheleaswani Inche Zainal AbidinElderly Health Sector, Family Health Development Division, Ministry of Health, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia.
Suthahar AriaratnamDepartment of Psychiatry, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selayang Campus, Batu Caves, Selangor, Malaysia.
Noor Ani AhmadCentre for Family Health Research, Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Shah Alam, Selangor, Malaysia.
Ministry of Health · MYNational Defence University of Malaysia · MYNational University of Malaysia · MYUniversiti Putra Malaysia · MYUniversiti Teknologi MARA · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study on cardiovascular disease (CVD) risk factors and their prevalence among the older people in Malaysia is limited. We aimed to determine the prevalence and factors associated with CVD risk factors using the non-laboratory Framingham Generalized 10-Year CVD risk score among older people in Malaysia. This was a population-based cross-sectional study using data of 3,375 participants aged ≥60 years from the National Health and Morbidity Survey 2015. Sociodemographic, health factors and clinical assessments (anthropometry and blood pressure) were included. Complex survey analysis was used to obtain prevalence with 95% confidence intervals (CI). We applied ordinal regression to determine the factors associated with CVD risk. The prevalence for the high 10-year CVD risk was 72.1%. Body mass index was higher among those aged 60-69 years in men (25.4kg/m2, 95%CI 25.1-25.8) and women (26.7kg/m2, 95%CI 26.3-27.1) than the other age groups. The factors associated with moderate and high 10-year CVD risk were Malay ethnicity (Odds Ratio(OR) 0.76, 95%CI 0.63-0.92, p = 0.004), unmarried status (OR 1.55, 95%CI 1.22-1.97, p<0.001) and physically inactive (OR 0.72, 95%CI 0.55-0.95, p = 0.020). There is a need for future study to evaluate preventive strategies to improve the health of older people in order to promote healthy ageing.

Indexed as

AgedAged, 80 and overBody Mass IndexCardiovascular DiseasesFemaleHumansHypertensionLogistic ModelsMalaysiaMaleMiddle AgedMorbidityOdds RatioPrevalenceRisk FactorsSedentary Behavior

Identifiers

PMID33085718
PMCPMC7577487
OpenAlexW3094605763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.