| Literature DB >> 32801717 |
Wataru Furuichi1,2, Akiyoshi Shimura1, Hitoshi Miyama1, Terutomo Seki1, Kotaro Ono1, Jiro Masuya1, Takeshi Inoue1.
Abstract
BACKGROUND: Occupational mental health, work environment, sleep health, presenteeism, and loss of work productivity caused by health problems are all public health concerns. Although sleep affects mental health and presenteeism, the associations between sleep disturbance, job stressors, stress responses, and presenteeism have remained unclear. We hypothesized that job stressors affect the presenteeism of office workers through sleep disturbance and analyzed the association among these factors. SUBJECTS AND METHODS: In 2017, a cross-sectional survey of adult office workers was performed. A total of 2899 subjects who provided written consent were included in the analysis. The survey collected demographic information, as well as the Work Limitation Questionnaire (WLQ), Pittsburgh Sleep Quality Index (PSQI), and Brief Job Stress Questionnaire (BJSQ). Associations between each of the variables were analyzed by path analysis (covariance structure analysis). This study was approved by the Ethics Committee of Tokyo Medical University.Entities:
Keywords: WLQ; job stress; occupational stress; presenteeism; sleep disturbance; work limitation questionnaire
Year: 2020 PMID: 32801717 PMCID: PMC7394603 DOI: 10.2147/NDT.S258508
Source DB: PubMed Journal: Neuropsychiatr Dis Treat ISSN: 1176-6328 Impact factor: 2.570
Figure 1Results of covariance structure analysis using a path model, with the scores of job stressors, psychological and physical stress response (PPSR), and social support of the Brief Job Stress Questionnaire (BJSQ), the score of the Pittsburgh Sleep Quality Index (PSQI) indicating sleep disturbance, and the score of the percent productivity loss of the Work Limitation Questionnaire (WLQ) indicating presenteeism in 2899 adult workers are shown. Rectangles indicate the observed variables. Arrows with solid lines represent the statistically significant paths, and broken lines show the nonsignificant paths. The numbers beside the arrows show the direct standardized path coefficients. Indirect effects through the variables are explained in the Results section. *** p < 0.001.
Demographic Characteristics and Questionnaire Measures of the Study Subjects and Their Correlation with Percent Productivity Loss of WLQ
| Characteristic or Measure | Value (Number or Mean ± SD) | Correlation with %WLQ Productivity Loss or Its Comparison Between Men and Women |
|---|---|---|
| Sex (men: women) | 1837: 1062 | Men: 5.6 ± 4.3 |
| Age (years) | 36.6 ± 9.4 | |
| BJSQ job stressors | 38.9 ± 6.5 | |
| BJSQ PPSR | 56.7 ± 13.9 | |
| BJSQ social support | 19.9 ± 5.3 | |
| PSQI | 6.4 ± 2.8 | |
| WLQ | 5.46 ± 4.20 | – |
Notes: Data are presented as means ± SD or numbers. r = Pearson correlation coefficient; *p < 0.05, **p < 0.01.
Abbreviations: BJSQ, Brief Job Stress Questionnaire; PPSR, psychological and physical stress response; PSQI, Pittsburgh Sleep Quality Index; WLQ, Work Limitation Questionnaire.
Standardized Path Coefficients Between the Variables
| Direct Effect to | |||
|---|---|---|---|
| From | Sleep Disturbance (PSQI) | PPSR | %Productivity Loss (WLQ) |
| Job stressors | 0.198*** | 0.340*** | 0.122*** |
| PPSR | 0.383*** | ||
| Social support | 0.220*** | 0.124*** | 0.01 |
| PSQI | 0.438*** | 0.162*** | |
| Indirect effect to | |||
| Job stressors | Via PPSR | 0.130*** | |
| Via PSQI | 0.087*** | 0.032*** | |
| Via PSQI +PPSR | 0.033*** | ||
| Total indirect effect | 0.195*** | ||
| Social support | Via PPSR | 0.048*** | |
| Via PSQI | 0.096*** | 0.036*** | |
| Via PSQI +PPSR | 0.037*** | ||
| Total indirect effect | 0.120*** | ||
| PSQI | Via PPSR | 0.167*** | |
| Total effect to | |||
| Job stressors | 0.427*** | 0.317*** | |
| Social support | 0.221*** | 0.130*** | |
| PSQI | 0.330*** | ||
Note: ***p < 0.001.
Abbreviations: PPSR, psychological and physical stress response; PSQI, Pittsburgh Sleep Quality Index; WLQ, Work Limitations Questionnaire.