Predictive variables for feelings of sadness and depression while working remotely in Brazil during the COVID-19 pandemic.

IF 2.4 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
T. Dibbern, M. Serafim, I. Rampasso, Dirceu Silva, T. Atvars, W. Leal Filho, R. Anholon
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Abstract

BACKGROUND 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. OBJECTIVE 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. METHODS 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). RESULTS 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. CONCLUSIONS 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.
2019冠状病毒病大流行期间在巴西远程工作时悲伤和抑郁情绪的预测变量。
背景:这次大流行证明了远程工作,这方面的研究有所增加。大多数研究集中在公司的专业人员或学术环境中的教授/学生。与此同时,为机构的核心活动(研究/教学/推广活动)提供所需的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)和对感染冠状病毒的恐惧(3)、对职业生涯的焦虑和担忧(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所经历的悲伤和抑郁情绪。方法利用2019冠状病毒病大流行期间巴西一所大学远程工作人员的行为和感受数据库,构建二元逻辑回归模型。以一种探索性的方式,根据预测因变量(悲伤和抑郁的感觉)的能力,分析了六个自变量(在前一项中提出)。结果显示了自变量对因变量的预测能力。对健康的担忧、焦虑的增加和对职业的担忧等变量的比值比分别为3.6 (1.4-8.5 -95% C.I.)和3.3 (2.2-5.0 -95% C.I.),在其他变量中尤为突出。结论这些结果主要针对一家机构的工作人员,但它们有助于更好地了解远程工作专业人员的感受和行为,并为有关covid -19相关工作变化领域的辩论提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cognition Technology & Work
Cognition Technology & Work ENGINEERING, INDUSTRIAL-
CiteScore
6.90
自引率
7.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions. The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors. The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective. The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.
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