Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan.
Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan.
Int J Environ Res Public Health. 2022 Dec 2;19(23):16142. doi: 10.3390/ijerph192316142.
Although the correlation between perceived organizational support (POS) and work engagement has been investigated in several studies, the relationship between health-focused POS and work engagement has not been clarified. We prospectively evaluated the influence of workers’ POS for infection prevention (POS-IP) on employees’ work engagement. This prospective cohort study was conducted from December 2020 (baseline) to December 2021 (1-year follow-up) using a self-administered internet questionnaire. At follow-up, there were 18,560 respondents, and after excluding 6677 respondents who had changed jobs or retired since baseline or who were self-employed; thus, 11,883 participants were included in the analysis. We asked participants a single question on POS-IP and the three-item Utrecht Work Engagement Scale (UWES-3), and then analyzed the relationship between POS-IP at baseline and UWES-3 at follow-up using multilevel regression analysis. Work engagement at follow-up was significantly higher in the groups with “low”, “high”, and “very high” POS-IP at baseline as compared with the “very low” group (all, p < 0.001). A dose-response relationship was also observed between the POS-IP categories at baseline and work engagement at follow-up (p for trend < 0.001). During the COVID-19 pandemic, POS-IP can increase work engagement after 1 year.
虽然已有多项研究探讨了感知到的组织支持（POS）与工作投入之间的相关性，但健康导向的 POS 与工作投入之间的关系仍未阐明。我们前瞻性地评估了员工对感染预防的 POS（POS-IP）对员工工作投入的影响。这项前瞻性队列研究于 2020 年 12 月（基线）至 2021 年 12 月（1 年随访）期间使用自我管理的互联网问卷进行。在随访时，有 18560 名受访者，在排除自基线以来已换工作或退休或自雇的 6677 名受访者后；因此，有 11883 名参与者纳入分析。我们向参与者提出了一个关于 POS-IP 和三项目乌得勒支工作投入量表（UWES-3）的问题，然后使用多层次回归分析来分析基线时的 POS-IP 与随访时的 UWES-3 之间的关系。与“非常低”组相比，基线时 POS-IP 为“低”、“高”和“非常高”的组在随访时的工作投入明显更高（均，p < 0.001）。还观察到基线时的 POS-IP 类别与随访时的工作投入之间存在剂量反应关系（p 趋势 < 0.001）。在 COVID-19 大流行期间，POS-IP 可以在 1 年后增加工作投入。
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