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KMID : 1022320200140040241
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Asian Nursing Research
2020 Volume.14 No. 4 p.241 ~ p.248
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Risk Factors for Work-Related Musculoskeletal Disorders Among Intensive Care Unit Nurses in China: A Structural Equation Model Approach
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Yang Shuai
Li Li
Wang Liqian
Zeng Jiaqi
Li Yinglan
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Abstract
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Purpose: This study explored the direct and indirect effects of risk factors of work-related musculoskeletaldisorders (WRMDs) in nurses working in intensive care units (ICUs).
Methods: A cross-sectional study design was used. ICU nurses from 28 tertiary hospitals in the Hunanand Guangdong provinces participated in a survey conducted via a self-reported online questionnaire. Astructural equation model was used to fit the data and to evaluate associations among WRMDs and riskfactors.
Results: Valid questionnaire samples were submitted by 984 ICU nurses. The prevalence of WRMDswithin the previous year among ICU nurses was 96.8%. A valid structural equation model was constructed,and a good fit was shown: Chi-square value/degrees of freedom ¼ 2.248; comparative fitindex ¼ .931; normal fit index ¼ .905; goodness-of-fit index ¼ .978; adjusted goodness-of-fit index ¼.966; and root mean square error of approximation ¼ .036. All regression coefficients for direct effectreached significant levels (critical ratio > 1.96 and p < .05). In the structural equation model, theoccurrence of WRMDs was directly affected by the following: physical factors, risk perception, and jobstress. Physical factors and a safe environment indirectly affected WRMDs through risk perception andjob stress. The strongest correlations with WRMDs were physical factors.
Conclusion: The model provided a new perspective for understanding the associations among physicalfactors, workplace safety environment, risk perception, job stress, and WRMDs. To improve the practicesetting of the ICU, efforts should be made to help prevent WRMDs from physical, psychosocial, andenvironmental factors.
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KEYWORD
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intensive care units, musculoskeletal abnormalities, nurses, latent class analysis, risk factors
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