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Research Article
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
Ann Occup Environ Med 2014;26:23-23.   Published online August 9, 2014
DOI: https://doi.org/10.1186/s40557-014-0023-2
AbstractAbstract PDFPubReaderePub
Objective

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

Methods

We 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.

Results

Over 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).

Conclusions

The 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.


Citations

Citations to this article as recorded by  
  • Psychosocial risks of workers in the plywood industry: A cross-sectional study in the Ecuadorian Amazon region
    R. Gutiérrez-Alvarez, K. Guerra, M. Gutiérrez
    Heliyon.2024; 10(13): e33724.     CrossRef
  • Magnitude of work-related musculoskeletal disorders and its associated factors among Ethiopian nurses: a facility based cross-sectional study
    Amsalu Nemera, Mergitu Eliyas, Teferra Likassa, Milion Teshome, Bulti Tadesse, Yonas Gurmu Dugasa, Meseret Robi Tura
    BMC Musculoskeletal Disorders.2024;[Epub]     CrossRef
  • Development and validation of a tool for the comprehensive risk assessment of musculoskeletal disorders (CRAMUD) among employees of a steel industry
    Saeid Yazdanirad, Gholamhossein Pourtaghi, Mehdi Raei, Mohammad Ghasemi
    Theoretical Issues in Ergonomics Science.2023; 24(3): 335.     CrossRef
  • Risk Factors for Musculoskeletal Disorders in Nursing Personnel and Prevention Strategies
    Panagiotis Mitseas, Symeon Naoum, Theocharis Konstantinidis
    Romanian Journal of Military Medicine.2023; 126(1): 63.     CrossRef
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    Work.2022; 71(1): 65.     CrossRef
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    Enfermería Clínica.2021; 31(6): 390.     CrossRef
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    Asma Zare, Alireza Choobineh, Soheil Hassanipour, Mahdi Malakoutikhah
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    Habtamu Meaza, Melaku Hailu Temesgen, Getachew Redae, Teklehaimanot Tekle Hailemariam, Abayneh Alamer
    Clinical Medicine Insights: Arthritis and Musculoskeletal Disorders.2020; 13: 117954412097467.     CrossRef
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    Annals of Occupational and Environmental Medicine.2018;[Epub]     CrossRef
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    BioMed Research International.2018; 2018: 1.     CrossRef
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    Journal of Advanced Nursing.2018; 74(8): 1851.     CrossRef
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    Hamid Taghinejad, Arman Azadi, Zainab Suhrabi, Mohammadreza Sayedinia
    Biotechnology and Health Sciences.2016;[Epub]     CrossRef
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Research Article
Association between Workplace Risk Factor Exposure and Sleep Disturbance: Analysis of the 2nd Korean Working Conditions Survey
Yong-Seok Heo, Sei-Jin Chang, Shin-Goo Park, Jong-Han Leem, Sung-Hwan Jeon, Bum-Joon Lee, Kyung-Yong Rhee, Hwan-Cheol Kim
Ann Occup Environ Med 2013;25:41-41.   Published online December 27, 2013
DOI: https://doi.org/10.1186/2052-4374-25-41
AbstractAbstract PDFPubReaderePub
Objectives

Sleep is essential for human beings to live and work properly. This study was conducted to investigate the relationship between occupational exposures to workplace risk factors and sleep disturbance in Korean workers.

Methods

The data were drawn from the second Korean Working Conditions Survey (KWCS); a total of 7,112 paid workers were analyzed. The independent variables were occupational exposures such as physical, chemical, biological, and psychosocial risk factor in the workplace, and psychosocial risk factor was divided into five categories (job demand, job control, social support, job insecurity, lack of reward). We estimated the relationship between various occupational exposures and sleep disturbance using multivariate logistic regression analysis.

Results

The results showed that people who exposed to physical, chemical, biological, and psychosocial (high job demand, inadequate social support, lack of reward) risk factors were more likely to increase the risk of sleep disturbance. Furthermore, after adjusting for general and occupational characteristics, we found significant positive associations between exposures to physical (odds ratios [OR] 1.47, 95% confidence interval [CI] 1.05-2.07) and psychosocial (high job demand (OR 2.93, 95% CI 2.16-3.98), inadequate social support (OR 1.57, 95% CI 1.14-2.15), lack of reward (OR 1.45, 95% CI 1.08-1.96)) risk factors and sleep disturbance.

Conclusion

These results suggest that occupational exposures to physical and psychosocial workplace risk factors are significantly related to sleep disturbance.


Citations

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