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Title: Psychometric evaluation of theworkstyle short form among nursing assistants withwork-related musculoskeletal symptoms
Authors: Cheung, K 
Ching, SSY 
Ma, KY 
Szeto, G
Issue Date: 2018
Source: International journal of environmental research and public health, 2018, v. 15, no. 4, 823
Abstract: The Workstyle Short Form (24 items) (WSF-24) has been tested for its psychometric properties on work-related upper-extremity musculoskeletal symptoms (WRUEMSs) among office workers. However, the impact of workstyle should not only be limited to WRUEMSs and the sedentary workforce. The purpose of this study was to test the psychometric properties of the modified 24-item Chinese WSF (C-WSF-24) to identify work-related musculoskeletal symptoms (WRMSs) in various body parts among nursing assistants (NAs) working in nursing homes. Four hundred and thirty-nine NAs participated in the study. The results of the factor analysis were that a four-factor solution (working through pain, social reactivity at work, demands at work and breaks) accounted for 56.45% of the total variance. Furthermore, validation against known groups showed that the total score and subscale scores of the C-WSF-24 had the ability to discriminate between NAs with and without WRMSs in various body parts (such as low back and lower extremities). Additionally, C-WSF-24 had a statistically significant association with the contributing factors to WRMSs. This is the first study to examine the psychometric properties of the C-WSF-24 in the non-sedentary workforce, with a focus on various body parts of WRMSs. The results demonstrated that C-WSF-24 is reliable and valid for assessing WRMSs in various body parts among NAs.
Keywords: Construct validity
Factor analysis
Non-sedentary workforce
Work-related musculoskeletal symptoms
Workstyle
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: International journal of environmental research and public health 
ISSN: 1661-7827
EISSN: 1660-4601
DOI: 10.3390/ijerph15040823
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Cheung, K., Ching, S. S., Ma, K. Y., & Szeto, G. (2018). Psychometric evaluation of the workstyle short form among nursing assistants with work-related musculoskeletal symptoms. International journal of environmental research and public health, 15(4), 823 is available at https://doi.org/10.3390/ijerph15040823
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