Impact of Pandemic-Induced Psychosocial Hazards on the Mental Health Outcomes of Construction Professionals

The outbreak of the COVID-19 pandemic and the control measures implemented by governments have caused serious harm to the physical and mental health of many, including professionals working in the construction industry. As one of the largest industries globally, it is important to examine the psychosocial hazards that occurred during the pandemic and their impacts on the mental health outcomes of construction professionals, especially those working for construction enterprises, as their work tends to be site-based and has been influenced more seriously during the pandemic. This research used a questionnaire to gather data from 531 professionals working in China’s construction industry. Descriptive analysis, Spearman’s correlation analysis, and partial least-squares structural equation modeling (PLS-SEM) were employed to analyze the data. The findings indicate that work–family-related factors were critical psychosocial hazards. Their prevalence rates of depression, anxiety, and stress symptoms are 32.96%, 32.58%, and 16.95%, respectively. Personal factors are the strongest predictors of poor mental health outcomes, especially anxiety, while work–family-related factors are influential on the development of depression symptoms. The findings are unique, as they reveal critical psychosocial hazards that affect the mental health of construction professionals during the pandemic. They provide important theoretical references for governments or construction enterprises to develop disaster management plans in cases of similar public health emergencies in the future.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-11-28
DOI
https://doi.org/10.3390/buildings15234339
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Pandemic-Induced Psychosocial Hazards on the Mental Health Outcomes of Construction Professionals

Carol K.H. Hon, Zhenwen Su, Riza Yosia Sunindijo, Shang Zhang et al.
Buildings
COVID-19 and Mental Health
article

Impact of Pandemic-Induced Psychosocial Hazards on the Mental Health Outcomes of Construction Professionals

Carol K.H. Hon, Zhenwen Su, Riza Yosia Sunindijo, Shang Zhang, Kang Peng
article en

Abstract

The outbreak of the COVID-19 pandemic and the control measures implemented by governments have caused serious harm to the physical and mental health of many, including professionals working in the construction industry. As one of the largest industries globally, it is important to examine the psychosocial hazards that occurred during the pandemic and their impacts on the mental health outcomes of construction professionals, especially those working for construction enterprises, as their work tends to be site-based and has been influenced more seriously during the pandemic. This research used a questionnaire to gather data from 531 professionals working in China’s construction industry. Descriptive analysis, Spearman’s correlation analysis, and partial least-squares structural equation modeling (PLS-SEM) were employed to analyze the data. The findings indicate that work–family-related factors were critical psychosocial hazards. Their prevalence rates of depression, anxiety, and stress symptoms are 32.96%, 32.58%, and 16.95%, respectively. Personal factors are the strongest predictors of poor mental health outcomes, especially anxiety, while work–family-related factors are influential on the development of depression symptoms. The findings are unique, as they reveal critical psychosocial hazards that affect the mental health of construction professionals during the pandemic. They provide important theoretical references for governments or construction enterprises to develop disaster management plans in cases of similar public health emergencies in the future.

BuildingsVol. 15(23)
Queensland University of Technology (AU), Suzhou University of Science and Technology (CN), UNSW Sydney (AU), Suzhou Institute of Building Science Group (China) (CN)
Openalex Percentile: Top 50%
COVID-19 and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.