Evidence map›Paper›PMID 25852937›Full record

ArticleAnnals of occupational and environmental medicine2014

Relationship between Psychosocial Risk Factors and Work-Related Musculoskeletal Disorders among Public Hospital Nurses in Malaysia.

Nur Azma Amin, Rusli Nordin, Quek Kia Fatt, Rahim M Noah, Jennifer Oxley

Abstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Pain manifestations in nursing professionals: a scoping review.Investigacion y educacion en enfermeria · 2025
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  9. [Nomographic Model for Predicting Severe Foot Pain in Nurses from Tertiary Hospitals in China].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  10. Review
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  13. Article
  14. Prevalence of Musculoskeletal Pain Among Academic Staff of Mekelle University, Ethiopia.Clinical medicine insights. Arthritis and musculoskeletal disorders · 2020
    Article
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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

5 authors.

Nur Azma AminJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, 46150, Malaysia ; Universiti Kuala Lumpur, Institute of Medical Science Technology Jalan TKS 1, Taman Kajang Sentral, Kajang, 43600, Selangor, Malaysia.
Rusli NordinJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, 46150, Malaysia.
Quek Kia FattJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, 46150, Malaysia.
Rahim M NoahUniversiti Kuala Lumpur, Institute of Medical Science Technology Jalan TKS 1, Taman Kajang Sentral, Kajang, 43600, Selangor, Malaysia.
Jennifer OxleyMonash Injury Research Institute Building 70, Monash University, Victoria 3800, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examined the relationships between psychosocial work factors and risk of WRMSDs among public hospital nurses in the Klang Valley, Malaysia.

methodsWe conducted a cross-sectional study among 660 public hospital nurses. A self-administered questionnaire was used to collect data on the occurrence of WRMSDs according to body regions, socio-demographic profiles, occupational information and psychosocial risk factors. 468 questionnaires were returned (response rate of 71%), and 376 questionnaires qualified for subsequent analysis. Univariate analyses were applied to test for mean and categorical differences across the WRMSDs; multiple logistic regression was applied to predict WRMSDs based on the Job Strain Model's psychosocial risk factors.

resultsOver two thirds of the sample of nurses experienced discomfort or pain in at least one site of the musculoskeletal system within the last year. The neck was the most prevalent site (48.94%), followed by the feet (47.20%), the upper back (40.69%) and the lower back (35.28%). More than 50% of the nurses complained of having discomfort in region one (neck, shoulders and upperback) and region four (hips, knees, ankles, and feet). The results also revealed that psychological job demands, job strain and iso-strain ratio demonstrated statistically significant mean differences (p < 0.05) between nurses with and without WRMSDs. According to univariate logistic regression, all psychosocial risk factors illustrated significant association with the occurrence of WRMSDs in various regions of the body (OR: 1.52-2.14). Multiple logistic regression showed all psychosocial risk factors were significantly associated with WRMSDs across body regions (OR: 1.03-1.19) except for region 1 (neck, shoulders and upper back) and region 4 (hips, knees, ankles, and feet). All demographic variables except for years of employment were statistically and significantly associated with WRMSDs (p < 0.05).

conclusionsThe findings indicated the high prevalence of WRMSDs in many body regions, and the risks of developing WRMSDs according to the various body regions were associated with important psychosocial risk factors based on the job strain model. These findings have implications for the management of WRMSDs among public hospital nurses in the Klang Valley, Malaysia.

Indexed as

Job strain modelPsychosocial risk factorsPublic hospital nursesWork-related musculoskeletal disorders (WRMSDs)

Identifiers

PMID25852937
PMCPMC4387780

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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.