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

Overview of attention for article published in BMC Public Health, August 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 policy source
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4 X users

Citations

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43 Dimensions

Readers on

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205 Mendeley
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Title
Lifestyle, chronic diseases and self-rated health among Malaysian adults: results from the 2011 National Health and Morbidity Survey (NHMS)
Published in
BMC Public Health, August 2015
DOI 10.1186/s12889-015-2080-z
Pubmed ID
Authors

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

Abstract

Self-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. This 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. Approximately 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). This 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 <1%
Spain 1 <1%
Unknown 202 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 40 20%
Student > Master 37 18%
Student > Ph. D. Student 23 11%
Lecturer 13 6%
Researcher 11 5%
Other 29 14%
Unknown 52 25%
Readers by discipline Count As %
Medicine and Dentistry 50 24%
Nursing and Health Professions 34 17%
Agricultural and Biological Sciences 10 5%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Social Sciences 9 4%
Other 44 21%
Unknown 48 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2018.
All research outputs
#6,384,259
of 23,876,482 outputs
Outputs from BMC Public Health
#6,516
of 15,464 outputs
Outputs of similar age
#70,797
of 266,504 outputs
Outputs of similar age from BMC Public Health
#116
of 301 outputs
Altmetric has tracked 23,876,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.