Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jan 24:12:1331458.
doi: 10.3389/fpubh.2024.1331458. eCollection 2024.

Mediating effect of sleep quality on the association between job stress and health-related productivity loss among workers in R&D enterprises in Shanghai

Affiliations

Mediating effect of sleep quality on the association between job stress and health-related productivity loss among workers in R&D enterprises in Shanghai

Yixuan Sun et al. Front Public Health. .

Abstract

Background: Past research indicates that occupational stress negatively predicts health-related productivity. Simultaneously, sleep problem among workers may stem from job stress, subsequently leading to a decline in sleep quality and resulting in reduced health productivity. Therefore, this study aims to idenitify whether the sleep quality of employees functions as a mediator in the process through which job stress impacts health productivity.

Objectives: This study aimed to assess the status and analyze differences in quality of sleep, job stress, and health-related productivity loss (HRPL) among workers in research and development (R&D) enterprises in Minhang District, Shanghai. We also assessed the mediating effect of sleep quality on the relationship between job stress and HRPL.

Methods: A total of 3,216 workers in R&D firms aged between 18 and 60 years participated in this study (mean age 35.15 years; standard deviation 8.44; male-to-female ratio≈2:1). The Nakata Insomnia Questionnaire, the Chinese version of the Brief Job Stress Questionnaire revised edition, and the Chinese version of the Work Productivity and Activity Impairment Questionnaire were used in this study. And the Kruskal-Wallis test, Hierarchical Multiple Regression Analysis, and Path Analysis were utilized for data analysis in this study.

Results: There were significant differences in the positive detection rate of insomnia among participants according to age, educational level, marital status, position, length of service, and level of financial difficulties (all P < 0.05). We also found significant differences in the positive detection rate of HRPL among participants according to age, marital status, length of service, and level of financial difficulties (all P < 0.05); participants with insomnia scored higher for HRPL than those without insomnia (6.00 vs. 4.20, P < 0.001). Additionally, participants with job stress problems had higher HRPL than those without these issues (7.00 vs. 4.20, P < 0.001). Our findings suggest that sleep quality plays a mediating role between job stress and HRPL (all P < 0.05).

Conclusions: Occupational health professionals must pay particular attention to job stress, sleep quality, and their influencing factors to positively influence the wellbeing of workers while improving productivity.

Keywords: enterprise workers; health-related productivity loss; job stress; path analysis; sleep quality.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Conceptual model and main variables.
Figure 2
Figure 2
Mediating effect of sleep quality in job stress and health productivity loss. Partial mediating effect 7.57%. ***p < 0.01.

References

    1. Cocker Martin A, Scott J, Venn A, Sanderson K. Psychological distress, related work attendance, and productivity loss in small-to-medium enterprise owner/managers. Int J Environ Res Public Health. (2013) 10:5062–82. 10.3390/ijerph10105062 - DOI - PMC - PubMed
    1. Sijia Y, Jian C. Mediating effect of sleep quality on occupational stress and health-related productivity loss in programmers of an Internet enterprise in Shanghai. Shanghai Yufang Yixue. (2022) 34:911–6. 10.19428/j.cnki.sjpm.2022.22070 - DOI
    1. Fischer JE, Schoenwald M. (2013). Psychosocial ressources at work are the most important predictor of health-related productivity losses. Psychosomatic Medicine, 75(3), A-110.
    1. De Oliveira JJR, Andrade IF. Stressors factors of sleep quality on nursing teams in hospitalization units. Sleep Sci. (2019) 12 (Supplement 1):17–8. Available online at: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=emed20&NEWS=N&A...
    1. Fan LN, Yu JW, Yang XY, Zeng Q. Effects of occupational stress and related factors on insomnia occurrence of workers in chip manufacturing industry. Zhonghua Laodong Weisheng Zhiyebing Zazhi. (2020) 38:259–62. 10.3760/cma.j.cn121094-20190219-00052 - DOI - PubMed

Publication types