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Sep 27, 2022

Job Quality and Construction Workers’ Mental Health: Life Course Perspective

Authors: Payam Pirzadeh, Ph.D. https://orcid.org/0000-0001-6511-0946 [email protected], Helen Lingard, Ph.D. https://orcid.org/0000-0003-3645-8390 [email protected], and Rita Peihua Zhang, Ph.D. https://orcid.org/0000-0001-9907-6491 [email protected]Author Affiliations
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 12
https://doi.org/10.1061/(ASCE)CO.1943-7862.0002397
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Abstract

Psychosocial job quality has been proven to be linked to workers’ mental health. Drawing on a life course perspective, this study sought to identify, compare, and contrast the psychosocial characteristics of job quality that are related to mental health in three age groups of manual/nonmanagerial construction workers, i.e., young workers, middle-aged workers, and older workers. Data were extracted from the national and longitudinal Household, Income, and Labour Dynamics in Australia (HILDA) Survey data set. The study used 15 waves of data from the HILDA survey with 6,352 responses from 1,768 participants. Longitudinal random-intercept regression models were used to examine the association between each of five aspects of job quality (i.e., job demands and complexity, job control, perceived job security, effort-reward fairness, and job intensity) and mental health. Overall, the research results showed that construction workers’ mental health declined when experiencing adverse job conditions and the magnitude of decline increased as the number of job adversities increased. Specifically, workers of the midage group experienced more accelerated decline in mental health compared with the other two groups when experiencing two adverse job conditions. Age-related differences were also identified in the way that individual job quality aspects are related to mental health. Although low job security and perceived unfairness of effort and reward were significant predictors of mental ill-health in all age groups, job demand and complexity and high job intensity were predictors of mental ill-health in midage and older construction workers but were not significant contributors to mental ill-health among younger workers. The findings highlight the need to develop targeted approaches to protecting and promoting the mental health of construction workers in different age groups.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party. Direct request for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

This paper uses record data from the Household, Income, and Labour Dynamics in Australia Survey. The HILDA project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported, however, are those of the authors and should not be attributed to either the DSS or the Melbourne Institute.

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Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 148 • Issue 12 • December 2022

Copyright

This work is made available under the terms of the Creative Commons Attribution 4.0 International license, https://creativecommons.org/licenses/by/4.0/.

History

Received: Jan 21, 2022
Accepted: Jun 27, 2022
Published online: Sep 27, 2022
Published in print: Dec 1, 2022
Discussion open until: Feb 27, 2023

ASCE Technical Topics:

  1. Analysis (by type)
  2. Business management
  3. Comparative studies
  4. Data collection
  5. Employment
  6. Engineering fundamentals
  7. Labor
  8. Management methods
  9. Methodology (by type)
  10. Occupational safety
  11. Personnel management
  12. Practice and Profession
  13. Public administration
  14. Public health and safety
  15. Quality control
  16. Regression analysis
  17. Research methods (by type)
  18. Safety
  19. Statistical analysis (by type)

Authors

Affiliations

Payam Pirzadeh, Ph.D. https://orcid.org/0000-0001-6511-0946 [email protected]
Research Fellow, School of Property, Construction, and Project Management, RMIT Univ., GPO Box 2476, Melbourne, VIC 3001, Australia (corresponding author). ORCID: https://orcid.org/0000-0001-6511-0946. Email: [email protected]
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Helen Lingard, Ph.D. https://orcid.org/0000-0003-3645-8390 [email protected]
Distinguished Professor, School of Property, Construction, and Project Management, RMIT Univ., GPO Box 2476, Melbourne, VIC 3001, Australia. ORCID: https://orcid.org/0000-0003-3645-8390. Email: [email protected]
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Rita Peihua Zhang, Ph.D. https://orcid.org/0000-0001-9907-6491 [email protected]
Senior Lecturer, School of Property, Construction, and Project Management, RMIT Univ., GPO Box 2476, Melbourne, VIC 3001, Australia. ORCID: https://orcid.org/0000-0001-9907-6491. Email: [email protected]
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