Evidence map›Paper›PMID 26246019›Full record

ArticleBMC public health2015

Lifestyle, chronic diseases and self-rated health among Malaysian adults: results from the 2011 National Health and Morbidity Survey (NHMS).

Ying Ying Chan, Chien Huey Teh, Kuang Kuay Lim, Kuang Hock Lim, Pei Sien Yeo, Chee Cheong Kee, Mohd Azahadi Omar, Noor Ani Ahmad

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 83 citations in OpenAlex.

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  18. Quality of Life and Its Associated Factors among Patients with Psoriasis in a Semi-Urban Northeast Malaysia.International journal of environmental research and public health · 2022
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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

8 authors at 1 institution in 1 country.

Ying Ying ChanInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. chan.yy@moh.gov.my.
Chien Huey TehInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. chienhuey@imr.gov.my.
Kuang Kuay LimInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. limkk@moh.gov.my.
Kuang Hock LimInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. limkh@moh.gov.my.
Pei Sien YeoInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. yeops@moh.gov.my.
Chee Cheong KeeInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. kee@imr.gov.my.
Mohd Azahadi OmarInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. drazahadi@moh.gov.my.
Noor Ani AhmadInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia. drnoorani@moh.gov.my.
Ministry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health (SRH) has been demonstrated as a valid and appropriate predictor of incident mortality and chronic morbidity. Associations between lifestyle, chronic diseases, and SRH have been reported by various population studies but few have included data from developing countries. The aim of this study was to determine the prevalence of poor SRH in Malaysia and its association with lifestyle factors and chronic diseases among Malaysian adults.

methodsThis study was based on 18,184 adults aged 18 and above who participated in the 2011 National Health and Morbidity Survey (NHMS). The NHMS was a cross-sectional survey (two-stage stratified sample) designed to collect health information on a nationally representative sample of the Malaysian adult population. Data were obtained via face-to-face interviews using validated questionnaires. Two categories were used to measure SRH: "good" (very good and good) and "poor" (moderate, not good and very bad). The association of lifestyle factors and chronic diseases with poor SRH was examined using univariate and multivariate logistic regression.

resultsApproximately one-fifth of the Malaysian adult population (20.1 %) rated their health as poor (men: 18.4 % and women: 21.7 %). Prevalence increases with age from 16.2 % (aged 18-29) to 32.0 % (aged ≥60). In the multivariate logistic regression analysis, lifestyle factors associated with poor SRH included: underweight (OR = 1.29; 95 % CI: 1.05-1.57), physical inactivity (OR = 1.25; 95 % CI: 1.11-1.39), former smoker (OR = 1.38; 95 % CI: 1.12-1.70), former drinker (OR = 1.27; 95 % CI: 1.01-1.62), and current drinker (OR = 1.35; 95 % CI: 1.08-1.68). Chronic diseases associated with poor SRH included: asthma (OR = 1.66; 95 % CI: 1.36-2.03), arthritis (OR = 1.87; 95 % CI: 1.52-2.29), hypertension (OR = 1.39; 95 % CI: 1.18-1.64), hypercholesterolemia (OR = 1.43; 95 % CI: 1.18-1.74), and heart disease (OR = 1.85; 95 % CI: 1.43-2.39).

conclusionsThis study indicates that several unhealthy lifestyle behaviours and chronic diseases are significantly associated with poor SRH among Malaysian adults. Effective public health strategies are needed to promote healthy lifestyles, and disease prevention interventions should be enhanced at the community level to improve overall health.

Indexed as

Health BehaviorHealth StatusLife StyleSelf DisclosureAdultAgedAge FactorsChronic DiseaseCross-Sectional StudiesFemaleHealth SurveysHumansLogistic ModelsMalaysiaMaleMiddle Aged

Identifiers

PMID26246019
PMCPMC4527234
OpenAlexW2130086665

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.