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iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population

OBJECTIVE: The current study aimed to develop iWorkHealth, a valid and reliable self-administered instrument which identifies workplace psychosocial risk factors in Singapore. METHODS: The survey was conducted among 2718 employees who were primarily salaried workers and working in five companies fro...

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Autores principales: Abdin, Edimansyah, Subramaniam, Mythily, Chan, Angelina, Chen, Jo-Ann, Chong, Chee Leong, Wang, Cheryl, Lee, Michelle, Gan, Siok Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685634/
https://www.ncbi.nlm.nih.gov/pubmed/31390355
http://dx.doi.org/10.1371/journal.pone.0220566
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author Abdin, Edimansyah
Subramaniam, Mythily
Chan, Angelina
Chen, Jo-Ann
Chong, Chee Leong
Wang, Cheryl
Lee, Michelle
Gan, Siok Lin
author_facet Abdin, Edimansyah
Subramaniam, Mythily
Chan, Angelina
Chen, Jo-Ann
Chong, Chee Leong
Wang, Cheryl
Lee, Michelle
Gan, Siok Lin
author_sort Abdin, Edimansyah
collection PubMed
description OBJECTIVE: The current study aimed to develop iWorkHealth, a valid and reliable self-administered instrument which identifies workplace psychosocial risk factors in Singapore. METHODS: The survey was conducted among 2718 employees who were primarily salaried workers and working in five companies from the healthcare, banking and finance, and legal sectors in Singapore. Factor extraction and item reduction were conducted using exploratory factor analysis (EFA) and Mokken scale analysis (MSA). Construct validity, internal consistency and convergent validity of the final scale were confirmed using confirmatory factor analysis (CFA), Cronbach's alpha and Pearson correlation coefficients, respectively. Multiple Indicators Multiple Causes model was used to detect Differential Item Functioning (DIF). RESULTS: EFA and MSA identified a five-factor solution (job demand, job control, employee and management engagement, supervisor support and colleague support) for the 27 items iWorkHealth instrument. CFA demonstrated that the five-factor model fitted the data with high internal consistency (Cronbach's alpha ranged from 0.79 to 0.92). The convergent validity was shown through significant association with existing scales—high job demand was significantly associated with high burnout and depression, while high job control, employee and management engagement, supervisor support and coworker support were significantly associated with low burnout and depression. Ten items were detected with significant DIF, but impact was minimal on the associations between socio-demographics factors and iWorkHealth subscales. CONCLUSIONS: The findings provided evidence that the iWorkHealth instrument which comprises 27 items in five domains of psychosocial risk at the workplace is a reliable and valid instrument that could be used to measure and compare the level of psychosocial risk factors across companies and industries in Singapore.
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spelling pubmed-66856342019-08-15 iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population Abdin, Edimansyah Subramaniam, Mythily Chan, Angelina Chen, Jo-Ann Chong, Chee Leong Wang, Cheryl Lee, Michelle Gan, Siok Lin PLoS One Research Article OBJECTIVE: The current study aimed to develop iWorkHealth, a valid and reliable self-administered instrument which identifies workplace psychosocial risk factors in Singapore. METHODS: The survey was conducted among 2718 employees who were primarily salaried workers and working in five companies from the healthcare, banking and finance, and legal sectors in Singapore. Factor extraction and item reduction were conducted using exploratory factor analysis (EFA) and Mokken scale analysis (MSA). Construct validity, internal consistency and convergent validity of the final scale were confirmed using confirmatory factor analysis (CFA), Cronbach's alpha and Pearson correlation coefficients, respectively. Multiple Indicators Multiple Causes model was used to detect Differential Item Functioning (DIF). RESULTS: EFA and MSA identified a five-factor solution (job demand, job control, employee and management engagement, supervisor support and colleague support) for the 27 items iWorkHealth instrument. CFA demonstrated that the five-factor model fitted the data with high internal consistency (Cronbach's alpha ranged from 0.79 to 0.92). The convergent validity was shown through significant association with existing scales—high job demand was significantly associated with high burnout and depression, while high job control, employee and management engagement, supervisor support and coworker support were significantly associated with low burnout and depression. Ten items were detected with significant DIF, but impact was minimal on the associations between socio-demographics factors and iWorkHealth subscales. CONCLUSIONS: The findings provided evidence that the iWorkHealth instrument which comprises 27 items in five domains of psychosocial risk at the workplace is a reliable and valid instrument that could be used to measure and compare the level of psychosocial risk factors across companies and industries in Singapore. Public Library of Science 2019-08-07 /pmc/articles/PMC6685634/ /pubmed/31390355 http://dx.doi.org/10.1371/journal.pone.0220566 Text en © 2019 Abdin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Abdin, Edimansyah
Subramaniam, Mythily
Chan, Angelina
Chen, Jo-Ann
Chong, Chee Leong
Wang, Cheryl
Lee, Michelle
Gan, Siok Lin
iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title_full iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title_fullStr iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title_full_unstemmed iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title_short iWorkHealth: An instrument to identify workplace psychosocial risk factors for a multi-ethnic Asian working population
title_sort iworkhealth: an instrument to identify workplace psychosocial risk factors for a multi-ethnic asian working population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685634/
https://www.ncbi.nlm.nih.gov/pubmed/31390355
http://dx.doi.org/10.1371/journal.pone.0220566
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