Evidence map›Paper›PMID 34059165›Full record

ArticleJournal of health, population, and nutrition2021

The prevalence of hypertension among Malaysian adults and its associated risk factors: data from Malaysian Community Salt Study (MyCoSS).

Nor Azian Mohd Zaki, Rashidah Ambak, Fatimah Othman, Norazizah Ibrahim Wong, Cheong Siew Man, Mohamad Faizul Azham Morad, Feng J He, Graham MacGregor, Lalitha Palaniveloo, Azli Baharudin

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2021. 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
4.2field-weighted citation impact, top 5% 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, 31 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

10 authors at 2 institutions in 2 countries.

Nor Azian Mohd ZakiSarawak General Hospital, Ministry of Health, Kuching, Sarawak, Malaysia. norazianmz@moh.gov.my.
Rashidah AmbakInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Fatimah OthmanInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Norazizah Ibrahim WongInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Cheong Siew ManInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Mohamad Faizul Azham MoradInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Feng J HeWolfson Institute of Preventive Medicine, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK.
Graham MacGregorWolfson Institute of Preventive Medicine, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK.
Lalitha PalanivelooInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Azli BaharudinInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Ministry of Health · MYQueen Mary University of London · GB

Funding

Medical Research Council MR/P012590/1
6 · The paper itself

Abstract

backgroundHypertension is one of the most common risk factors for cardiovascular disease and leading cause of mortality globally. The aims of this study were to assess the prevalence of hypertension and its associated risk factors among Malaysian population using data from the Malaysian Community Salt Study (MyCoSS).

methodsThis study was a cross-sectional study using multi-stage stratified sampling method. Data collection was carried out via face-to-face interview at the respondent's home from October 2017 until March 2018. A total of 1047 respondents aged 18 years and above completed the questionnaires and blood pressure measurement. A person who reported diagnosis of hypertension by a physician and had systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg on three readings was categorised as hypertensive. Risk factors of hypertension were analysed using multiple logistic regression.

resultsThe prevalence of hypertension in the present study was 49.39% (95% CI 44.27-54.51). There was no statistically significant difference in gender. Age, household income, BMI, and diabetes were significantly associated with hypertension. Hypertension found had inverse association with the level of education. Age was the strongest predictor of hypertension (35-44 years old; OR=2.39, 95% CI=1.39-4.09, 45-54 years old; OR=5.50, 95% CI=3.23-9.38, 55-64 years old OR=13.56, 95% CI=7.77-23.64 and 65 years old and above; OR=25.28, 95% CI=13.33-48.66). Those who had higher BMI more likely to be hypertensive as compared to respondents with normal weight (overweight, OR=1.84; 95% CI=1.18-2.86; obese, OR=4.29% CI=2.56-7.29).

conclusionThe findings showed that hypertension is prevalent among adults in Malaysia. Those with older age, higher BMI, and diabetes are more likely to have hypertension. Efforts regarding lifestyle modification and education could be important in hypertension management and prevention.

Indexed as

HypertensionAdolescentAdultAgedBlood PressureChildCross-Sectional StudiesHumansMiddle AgedOverweightPrevalenceRisk FactorsYoung AdultBlood pressureCardiovascular diseaseHypertensionMalaysian community salt study (MyCoSS)

Identifiers

PMID34059165
PMCPMC8166007
OpenAlexW3164086161

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.