Evidence map›Paper›PMID 40664716›Full record

ArticleScientific reports2025

Conducting the National Health and Morbidity Survey 2023 in Malaysia with focus on methodology and main findings on non-communicable diseases.

Halizah Mat Rifin, Muhammad Fadhli Mohd Yusoff, Hamizatul Akmal Abd Hamid

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

3 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.
Muhammad Fadhli Mohd YusoffInstitute 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.
Hamizatul Akmal Abd HamidInstitute 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

Kementerian Kesihatan Malaysia NMRR-22-00545-XAC
6 · The paper itself

Abstract

The National Health and Morbidity Survey (NHMS), which focuses on non-communicable diseases (NCDs), their risk factors and healthcare demand, is a cross-sectional, nationwide, population-based survey conducted every four-year cycle since 2011. NHMS 2023 was the 7th cycle of NCDs, their risk factors and healthcare demand, which aimed to monitor trends in diseases and healthcare utilisation. This article outlines the methodology, sociodemographic characteristics, and overall findings from the population surveyed in 2023 regarding NCDs, their risk factors, and various health-related topics. This survey utilised a two-stage stratified random sampling design and encompassed fifteen main scopes, with sample sizes calculated to meet the specific requirements of each scope. Conducted from July to September 2023, it involved the random selection of 499 enumeration blocks(EBs) by the Department of Statistics Malaysia (DOSM) across all states and federal territories in Malaysia. The step resulted in the selection of 5,988 living quarters (LQs). Data collection methods included validated questionnaires administered through face-to-face interviews and self-administered questionnaires, alongside clinical assessments and blood investigations using calibrated devices. To ensure the high quality of the collected data, we implemented stringent quality control measures. Furthermore, we applied complex sampling analyses to ensure that the findings accurately represented the population in Malaysia. The survey received responses from 13,616 individuals out of the 5,006 LQs that were successfully visited, resulting in an overall response rate of the survey of 83.2%, which includes individuals aged 5 years and above. A substantial segment of the population lived in urban regions, comprising 77.6% of the total. About half of the population consisted of males (51.9%), Malay (54.6%), and individuals who had attained secondary education (54.2%). Additionally, 20.0% of the population were within the age range of 30 to 39 years. The weighted prevalence of diabetes was 15.6%, hypertension 29.2%, hypercholesterolaemia 33.3%, overweight and obesity 54.4%. Depression among adults was 4.6%, while mental health problems among children were reported at 16.5%. The current tobacco smokers prevalence was 19.0%, and 29.9% of adults in Malaysia were physically inactive. The known asthma prevalence among adults was 6.2%, while the current asthma among children was 3.4%. Additionally, 37.7% of adults experienced sleep insufficiency. The results indicate that the higher proportion of diabetes, hypertension, and hypercholesterolaemia, particularly among the young age group, and the high prevalence of overweight and obesity, as well as mental health problems,  are making the healthcare system deal with more non-communicable diseases, complications, and problems. The methodology of this survey is robust for a population-based study. We took comprehensive steps to ensure the validity and reliability of the findings. The findings indicate an urgent need for targeted public health interventions to address the escalating health issues. By focusing on prevention and early intervention strategies, we can mitigate the impact of NCDs on the healthcare system and improve overall population health.

Indexed as

Health SurveysNoncommunicable DiseasesAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalaysiaMaleMiddle AgedMorbidityRisk FactorsSurveys and QuestionnairesMalaysia; National Health and Morbidity Survey (NHMS) 2023MethodologyNon-communicable diseases

Identifiers

PMID40664716
PMCPMC12264187

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LicenceCC BY
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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.