The effect of the COVID-19 pandemic on health care workers' anxiety levels: a meta-analysis

Background

The COVID-19 pandemic has been declared a public health emergency of international concern, causing excessive anxiety among health care workers. Additionally, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable information. A meta-analysis was performed for this study with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased owing to the COVID-19 pandemic and (2) to investigate whether there has been an increase in publication bias.

Methods

All relevant studies published between 2015 and 2020 were searched in electronic databases (namely Web of Science, PubMed, Embase, PsycInfo, PsyArXiv, and medRxiv). The heterogeneity of the studies was assessed using the I 2 statistic. The effect size (prevalence rate of anxiety) and 95% CI for each study were also calculated. We used moderator analysis to test for the effect of the COVID-19 pandemic on health care workers' anxiety levels and to detect publication bias in COVID-19 studies. We assessed publication bias using funnel plots and Egger's regression.

Results

A total of 122 studies with 118,025 participants met the inclusion criteria. Eighty-eight articles (75,066 participants) were related to COVID-19, 13 articles (9,222 participants) were unrelated to COVID-19 (i.e., articles related to other outbreaks, which were excluded), and 21 preprints (33,737 participants) were related to COVID-19. The pooled meta-analysis prevalence was 33.6% (95% CI [30.5-36.8]; 95% PI [6.5-76.3]). Moderator analysis revealed no significant differences between articles related to COVID-19 and those unrelated to COVID-19 (p = 0.824). Moreover, no significant differences were found between articles and preprints related to COVID-19 (p = 0.843). Significant heterogeneity was observed in each subgroup. An Egger's test revealed publication bias in both articles and preprints related to COVID-19 (p < 0.001).

Conclusions

Determining whether the anxiety state of health care workers is altered by the COVID-19 pandemic is currently difficult. However, there is evidence that their anxiety levels may always be high, which suggests that more attention should be paid to their mental health. Furthermore, we found a substantial publication bias; however, the quality of the studies was relatively stable and reliable.

The Association Between Shift Work And Affective Disorders: A Systematic Review

Atypical working time patterns are known to be associated with adverse physical health consequences. The impact of chronic exposure to shift work on psychological wellbeing and mental health is also reported, but not fully appreciated. We conducted a systematic review of the literature on the association between shift work and affective disorders using the electronic databases Medline, PsycINFO, Embase, Web of Science and Google Scholar. Data extracted included detailed characteristics of shift work, the affective disorders under study, and the population targeted. Some 25 extracted articles satisfied all inclusion and exclusion criteria. Findings of these articles reveal shift work is associated with increases in depressive symptoms (12 studies), anxiety (2 studies), and depression and anxiety (7 studies). Only three studies found no association between shift work and depression. The findings of this review suggest that shift work increases the symptoms of depression and anxiety.