Technostress is a psychosocial phenomenon associated with the use of technologies to the detriment of health, the same one that during the pandemic was accelerated in the work considering home confinement. This work aims to systematize the main research on the impact of technostress at work during the severe confinement stage of the pandemic, between the years 2020 and 2021, with the purpose of identify and evaluate its main determining factors. A systematic review of the literature was carried out during COVID-19, using the words “technostress work COVID-19.” The works found focus mainly on analyzing the creators and inhibitors of technostress in workers, as well as the main consequences of the materialization of this technological risk associated with work performance during the stage of confinement by COVID-19. Techno invasion and techno overload were identified as the main techno stressors, with the main type of technostress appreciated in the literature being techno fatigue. Technostress is identified as a problem that had direct and relevant effects during the season of severe confinement and remote work at home due to COVID-19; highlighting techno fatigue as the most frequent type of stress, and techno stressors such as techno invasion and overload as the ones that presented the highest incidence.
The coronavirus disease 2019 (COVID-19) pandemic has influenced all aspects significantly, and an estimated 1.5 billion students across the globe have been forced to keep up with online courses at home. Many recent empirical studies reported the prevalence of mental health problems among students caused by remote learning during the COVID-19 pandemic, but a few studies aggregated these results. Therefore, to strengthen statistical power, the article aimed to examine the prevalence of anxiety, depression, and stress among remote learning students during the COVID-19 pandemic via a meta-analysis. A total of 36 original articles have been selected from five academic databases, including Web of Science, PubMed, Scopus, EBSCO, and Google Scholar, covering 78,674 participants in 19 nations, and yielding 60 effect sizes (22 for anxiety, 17 for depression, and 21 for stress) based on the random effects model via Comprehensive Meta-Analysis (CMA) software. The results showed that the prevalence of anxiety, depression, and stress among remote learning students during the COVID-19 pandemic was as high as 58, 50, and 71%, respectively. Besides, the moderator analysis found that (1) the prevalence of anxiety and depression among students in higher education was significantly higher than that of students in elementary education. (2) an increasing number of medical students and students in emergency remote learning context suffered from mental stress than their non-medical and traditional distance learning counterparts. Thus, the COVID-19 pandemic triggers concerns related to physical health and mental disorders, especially for remote online learning students. The current situation should be brought to the forefront by educators to develop psychological interventions for relieving students’ anxiety, depression, and stress during the pandemic period.
Frontiers in Immunology
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