Influence mechanism of psychological fatigue on unsafe behaviors of construction workers

doi:10.16265/j.cnki.issn1003-3033.2025.07.1461

Abstract

Abstract:

To reduce the negative impact of psychological fatigue on construction workers' safety, the relationship between psychological fatigue and UB and their underlying mechanisms were investigated. First, based on the characteristics of construction workers and literature review, psychological fatigue was divided into three dimensions: reduced motivation (RM), cognitive weakness (CW), and emotional exhaustion (EE). Secondly, based on protection motivation theory (PMT) and Conservation of Resources Theory (COR), HP was introduced as a mediating variable and SS was introduced as a moderating variable. Finally, Structural Equation Modeling and hierarchical regression analysis were used to explore the mechanism through which psychological fatigue affects construction workers' UB. The results show that psychological fatigue is found to have a significantly positive impact on UB through the three dimensions of RM, CW, and EE; HP is identified to partially mediate the relationship between psychological fatigue and UB. Both the direct effect of psychological fatigue on UB and the mediating role of HP between them are moderated by SS.

Key words: psychological fatigue, construction workers, unsafe behavior (UB), hazard perception (HP), social support (SS)

CLC Number:

X911安全心理学

YAN Haoran, LI Ming, XU Xia, JIANG Xiangting. Influence mechanism of psychological fatigue on unsafe behaviors of construction workers[J]. China Safety Science Journal, 2025, 35(7): 15-21.

Figures/Tables 7

Fig.1

Table 1

Fig.2

Table 2

Table 3

Fig.3

Fig.4

References 19

[1]	郭中华, 姜卉, 尤完. 建筑施工安全生产监管模式的事故作用机理及有效性评价[J]. 公共管理学报, 2021, 18(4):63-77,170.
	GUO Zhonghua, JIANG Hui, YOU Wan. Accident mechanism and effectiveness evaluation of safety production supervision models in construction engineering[J]. Journal of Public Administration, 2021, 18(4):63-77,170.
[2]	HEINRICH H W. Industrial accident prevention. a scientific approach[M]. New York: McGraw Hill. 1941:18.
[3]	韩豫, 张梦月, 谈宇琦. 工作回报调节视角下心理疲劳对建筑工人危险感知的差异化影响研究[J]. 项目管理技术, 2024, 22(4):40-47.
	HAN Yu, ZHANG Mengyue, TAN Yuqi. Differential impact of psychological fatigue on hazard perception in construction workers from the perspective of job rewards regulation[J]. Project Management Technology, 2024, 22(4):40-47.
[4]	MASLASH C, JACKSON S. The measurement of experienced burnout[J]. Journal of Occupational Behaviour, 1981, 2(2):99-113.
[5]	张士昌. 矿工安全心理研究与对策[J]. 煤矿安全, 1999, 30(2):39-41.
	ZHANG Shichang. Research and countermeasures on miners' safety psychology[J]. Safety in Coal Mines, 1999, 30(2):39-41.
[6]	TAI S K, HYUN T S, MANN Y L, et al. The effect of psychological fatigue caused by emergency stress on safety behavior and accidents: focused on the subway train drivers[J]. Journal of the Korea Safety Management and Science, 2014, 16(1):101-108.
[7]	沈剑, 李红霞. 矿工作业疲劳对煤矿险兆事件的影响机理:基于情感耗竭中介变量的分析[J]. 安全与环境学报, 2019, 19(2):527-534.
	SHEN Jian, LI Hongxia. Impact mechanism of miner work fatigue on coal mine near-miss events: an analysis based on emotional exhaustion as a mediating variable[J]. Journal of Safety and Environment, 2019, 19(2):527-534.
[8]	ALROOMI A, SHERIF M. Does fatigue mediate the relation between physical isolation and safety behaviour among isolated oil and gas workers?[J]. Safety Science, 2022, 147:DOI:10.1016/j.ssci.2021.105639.
[9]	SMETS E, GARSSEN A, BONKE B, et al. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue[J]. Journal of Psychosomatic Research, 1995, 39(3):315-325. doi: 10.1016/0022-3999(94)00125-o pmid: 7636775
[10]	NEAL A, GRIFFIN M A, HART P M. The impact of organizational climate on safety climate and individual behavior[J]. Safety Science, 2000, 34(3):99-109.
[11]	DEMEROUTI E, BAKKERA B. The job demands-resources model: challenges for future research[J]. SA Journal of Industrial Psychology, 2011, 37(2):1-9.
[12]	GYEKYE S A, SALMINEN S. Are "good soldiers"safety conscious? an examination of the relationship between organizational citizenship behaviors and perception of workplace safety[J]. Social Behavior and Personality, 2005, 33(8):805-820.
[13]	刘雪莉, 王茜, 栗继祖. 风险感知对不安全行为的影响机制研究[J]. 应用心理学, 2024, 30(4):365-372.
	LIU Xueli, WANG Qian, LI Jizu. Study on the mechanism of risk perception's impact on unsafe behavior[J]. Applied Psychology, 2024, 30(4):365-372.
[14]	FLOYD L D, PRENTICE S, ROGERS W R. A meta analysis of research on protection motivation theory[J]. Journal of Applied Social Psychology, 2000, 30(2):407-429.
[15]	QINGTING X, YANG L, MIANG Y G, et al. Investigating the impact of hazard perception failure on construction workers unsafe behavior: an eye-tracking and thinking-aloud approach[J]. Journal of Construction Engineering and Management, 2024, 150(7):78-96.
[16]	HOBFOLL E S. The influence of culture, community, and the nested-self in the stress process: advancing conservation of resources theory[J]. Applied Psychology, 2001, 50(3):337-421.
[17]	李永娟, 蒋丽, 胥遥山, 等. 工作压力与社会支持对安全绩效的影响[J]. 心理科学进展, 2011, 19(3):318-327.
	LI Yongjuan, JIANG Li, XU Yaoshan, et al. Impact of job stress and social support on safety performance[J]. Advances in Psychological Science, 2011, 19(3):318-327.
[18]	陈梅, 祁神军, 牛达钰, 等. 主观社会支持对建筑工人心理及不安全行为的影响[J]. 中国安全科学学报, 2021, 31(1):30-37. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.005
	CHEN Mei, QI Shenjun, NIU Dayu, et al. Impact of subjective social support on the psychological state and unsafe behavior of construction workers[J]. China Safety Science Journal, 2021, 31(1):30-37. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.005
[19]	肖水源. 《社会支持评定量表》的理论基础与研究应用[J]. 临床精神医学杂志, 1994, 3(2):98-100.
	XIAO Shuiyuan. Theoretical basis and research application of the social support rating scale[J]. Chinese Journal of Clinical Psychiatry, 1994, 3(2):98-100.

模型	因子	χ²/df	CFI	TLI	NFI	RMSEA
单因子模型	RM+CW+EE+HP+SS+UB	9.220	0.478	0.418	0.453	0.143
双因子模型	RM+CW+EE+HP+SS、UB	7.008	0.620	0.575	0.587	0.122
四因子模型	RM+CW+EE、HP、SS、UB	3.198	0.862	0.845	0.812	0.074
五因子模型	RM+CW、EE、HP、SS、UB	2.528	0.904	0.892	0.852	0.062
六因子模型	RM、CW、EE、HP、SS、UB	1.708	0.956	0.950	0.901	0.042
七因子模型	RM、CW、EE、HP、SS、UB、CMF	1.216	0.988	0.985	0.934	0.023
六因子VS七因子	—	-0.492	0.032	0.035	0.033	-0.019

路径	路径系数	95%置信区间
路径	路径系数	上限	下限	效应占比/%
CW→UB	0.177^**	0.083	0.304	60.82
CW→HP→UB	0.114^**	0.073	0.164	39.18
EE→UB	0.282^**	0.196	0.360	73.63
EE→HP→UB	0.101^**	0.063	0.146	26.37
RM→UB	0.222^***	0.137	0.264	71.61
RM→HP→UB	0.088^*	0.053	0.129	28.39

变量	HP				UB
变量	模型1	模型2	模型3	模型4	模型5	模型6	模型7	模型8
年龄	-0.026	-0.064	-0.067	-0.070	0.004	0.044	0.049	0.052
性别	-0.027	-0.027	-0.024	-0.010	0.019	0.021	0.016	0.004
工龄	0.272^***	0.204^***	0.199^***	0.158^***	-0.212^***	-0.130^**	-0.124^**	-0.082^*
学历	0.162^**	0.083	0.067	0.046	-0.143^**	-0.055	-0.034	-0.018
工作时长	-0.019	-0.073	-0.072	-0.060	0.016	0.081^*	0.080^*	0.069
CW	—	-0.256^***	-0.247^***	-0.249^***	—	0.246^***	0.228^***	0.235^***
EE	—	-0.229^***	-0.215^***	-0.223^***	—	0.316^***	0.294^***	0.297^***
RM	—	-0.228^***	-0.210^***	-0.214^***	—	0.255^***	0.244^***	0.247^***
SS	—	—	0.130^**	0.122^**	—	—	-0.170^***	-0.159^***
CW×SS	—	—	—	0.120^**	—	—	—	-0.111^*
EE×SS	—	—	—	0.140^**	—	—	—	-0.119^**
RM×SS	—	—	—	0.085^*	—	—	—	-0.116^**
R²	0.103	0.334	0.349	0.405	0.068	0.372	0.399	0.454
ΔR²	0.103	0.231	0.015	0.056	0.068	0.304	0.027	0.055
F	9.132	24.607	23.395	22.096	5.812	29.093	28.884	26.951