Influence of job stress and burnout on unsafe behaviors of construction workers

doi:10.16265/j.cnki.issn1003-3033.2022.11.2539

Abstract

Abstract:

In order to deeply explore the relationship between job stress and burnout in unsafe behaviors of construction workers, firstly, based on the work characteristics of construction workers and literature research, individual safety cognition and team safety climate were selected as mediating variables. Psychological resilience, psychological detachment and psychological capital were introduced as moderating variables to model the hypothesis of the effects of job stress and burnout on construction workers' unsafe behaviors. Questionnaire research was conducted by drawing on mature psychological scales, using SPSS 26.0 and AMOS 24.0 for reliability and validity analysis, SEM and validation of research hypotheses, and Mplus 8.0 for modeling the moderating effects of psychological moderating variables. The results show that job stress and burnout contribute significantly to construction workers' unsafe behaviors, and job stress is positively correlated with burnout. Individual safety cognition and team safety climate have significant mediating effects between job stress-unsafe behaviors and burnout-unsafe behaviors. Psychological resilience significantly negatively regulates the relationship between job stress and unsafe behaviors, psychological detachment significantly negatively regulates the relationship between burnout and unsafe behavior, and psychological capital significantly negatively regulates the relationship between job stress and burnout, that is, psychological adjustment can effectively reduce the unsafe behavior tendency of workers. It is recommended that construction companies should combine psychological adjustment measures to prevent workers' unsafe behaviors by relieving work stress, reducing burnout, improving individual safety perceptions, and improving the safety atmosphere in the work group.

Key words: work stress, job burnout, construction workers, unsafe behavior, structural equation modeling (SEM)

ZHOU Jianliang, HU Feixiang, XING Yandong, GAO Jiarui. Influence of job stress and burnout on unsafe behaviors of construction workers[J]. China Safety Science Journal, 2022, 32(11): 14-22.

Figures/Tables 8

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特征	分类	人数	占比/%
性别	男	215	71.67
性别	女	85	28.33
年龄/岁	≤45	224	74.67
年龄/岁	>45	76	25.33
工龄/a	≤5	55	18.33
	6~10	120	40
	11~15	59	19.67
	>15	66	22
教育程度	初中	121	40.33
	高中、中专、技校	95	31.67
	其他	84	28
每周工作时间/h	≤55	99	33
	56~70	172	57.33
	>70	29	9.67

潜变量	CR	AVE	Cronbach's α
工作压力X₁	0.846	0.524	0.835
职业倦怠X₂	0.801	0.573	0.856
安全认知Y₁	0.842	0.571	0.846
安全氛围Y₂	0.808	0.513	0.819
心理韧性Z₁	0.856	0.665	0.886
心理脱离Z₂	0.882	0.651	0.864
心理资本Z₃	0.868	0.623	0.851
不安全行为U	0.802	0.503	0.806

模型	拟合指数	χ²/df	CFI	GFI	AGFI	RMSEA
模型	适配度标准值	<5	>0.9	>0.8	>0.8	<0.08
含CMV模型	九因子:X₁;X₂;Y₁;Y₂;Z₁;Z₂;Z₃;U;CMV	1.721	0.926	0.892	0.889	0.082
基本模型	八因子:X₁;X₂;Y₁;Y₂;Z₁;Z₂;Z₃;U	1.912	0.921	0.874	0.869	0.069
模型1	七因子:X₁;X₂;Y₁;Y₂;Z₁+Z₃;Z₂;U	2.147	0.843	0.819	0.807	0.092
模型2	七因子:X₁;X₂;Y₁;Y₂;Z₁;Z₂+Z₃;U	2.178	0.856	0.744	0.741	0.098
模型3	七因子:X₁;X₂;Y₁;Y₂;Z₁+Z₂;Z₃;U	2.139	0.835	0.791	0.779	0.104
模型4	六因子:X₁;X₂;Y₁;Y₂;Z₁+Z₂+Z₃;U	2.167	0.814	0.782	0.773	0.115
模型	拟合指数	χ²/df	CFI	GFI	AGFI	RMSEA
模型	适配度标准值	<5	>0.9	>0.8	>0.8	<0.08
模型5	五因子:X₁+X₂;Y₁;Y₂;Z₁+Z₂+Z₃;U	2.413	0.772	0.774	0.770	0.181
模型6	五因子:X₁;X₂;Y₁+Y₂;Z₁+Z₂+Z₃;U	2.436	0.767	0.770	0.769	0.184
模型7	四因子:X₁+X₂;Y₁+Y₂;Z₁+Z₂+Z₃;U	2.647	0.731	0.758	0.752	0.189

研究变量	X₁	X₂	Y₁	Y₂	Z₁	Z₂	Z₃	U
工作压力X₁	0.724	—	—	—	—	—	—	—
职业倦怠X₂	0.581^**	0.751	—	—	—	—	—	—
安全认知Y₁	-0.373^**	-0.562^**	0.756	—	—	—	—	—
安全氛围Y₂	-0.532^**	-0.454^**	0.611^**	0.716	—	—	—	—
心理韧性Z₁	-0.091	-0.187^*	0.312^**	0.324^**	0.815	—	—	—
心理脱离Z₂	-0.103^*	-0.196^*	0.323^**	0.304^**	0.099	0.807	—	—
心理资本Z₃	-0.093	-0.193^*	0.418^**	0.229^**	0.311^**	0.092	0.789	—
不安全行为U	0.575^**	0.359^**	-0.662^**	-0.471^**	-0.223^**	-0.321^**	-0.414^**	0.709

改善路径		效应值	Boot 标准误	95%置信区间
改善路径		效应值	Boot 标准误	下限	上限
间接效应	X₁→Y₁→U	0.263	0.030	0.196	0.315
	X₂→Y₁→U	0.437	0.062	0.342	0.588
	X₁→Y₂→U	0.246	0.050	0.129	0.327
	X₂→Y₂→U	0.230	0.047	0.113	0.302
直接效应	X₁→U	0.552	0.103	0.325	0.736
直接效应	X₂→U	0.372	0.098	0.192	0.585