Institute of Geosciences, University of Campinas, Campinas, Brazil.
Laboratory of Public Sector Studies, School of Applied Sciences, University of Campinas, Limeira, Brazil.
Work. 2022;72(2):421-429. doi: 10.3233/WOR-210846.
Remote work was evidenced in the pandemic and studies in this area increased. Most studies focus on professionals of companies or professors/students in the academic environment. At the same time, non-academic staff, that provide all the support required for the core activities of the institutions (research/teaching/extension activities) have been neglected.
This article aims to exploratory analyse which variables (interruptions when working remotely (1), health concerns (2) and fear of contracting coronavirus (3), anxiety and concern about professional career (4), frustration to have cancelled plans and missed opportunities (5) and gender (6)) can impact feelings of sadness and depression experienced by non-academic staff of a university working remotely.
Using a database on behaviour and feelings of non-academic staff from a Brazilian university working remotely during the COVID-19 pandemic, a binary logistic regression model was structured. In an exploratory manner, six independent variables (presented in the previous item) were analysed in terms of their ability to predict the dependent variable (feelings of sadness and depression).
The results presented the prediction power of the independent variables for the dependent variable. The variables regarding concern with their health, increased anxiety and concern about their career presented Odds Ratios of 3.6 (1.4-8.5 -95% C.I.) and 3.3 (2.2-5.0 -95% C.I.), respectively, standing out from the other variables.
These results focus on staff at one institution, but they can contribute to better understand feelings and behaviours experienced by professionals working remotely and provide information for debates on the field of COVID-19-related changes of work.
远程工作在疫情期间得到了证实，该领域的研究也有所增加。大多数研究都集中在公司的专业人员或学术环境中的教授/学生上。与此同时，为机构的核心活动（研究/教学/推广活动）提供所有支持的非学术人员却被忽视了。
本文旨在探索性分析哪些变量（远程工作时的中断（1）、健康问题（2）、对感染冠状病毒的恐惧（3）、对职业发展的焦虑和担忧（4）、对取消计划和错过机会的沮丧（5）和性别（6））会影响远程工作的大学非学术人员的悲伤和抑郁感。
使用巴西一所大学在 COVID-19 大流行期间远程工作的非学术人员行为和感受数据库，构建了一个二元逻辑回归模型。以探索性的方式，分析了六个独立变量（前面提到的），以了解它们预测因变量（悲伤和抑郁感）的能力。
结果呈现了独立变量对因变量的预测能力。关于健康问题的担忧、焦虑和对职业发展的担忧这两个变量的优势比分别为 3.6（1.4-8.5-95%置信区间）和 3.3（2.2-5.0-95%置信区间），与其他变量相比，这两个变量的预测能力更为突出。
这些结果集中在一个机构的员工身上，但它们可以帮助更好地理解远程工作的专业人员所经历的感受和行为，并为与 COVID-19 相关的工作变化领域的辩论提供信息。
