Evidence-Based Reviews

The psychiatric consequences of COVID-19: 8 Studies

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References

Study design

  • Researchers searched for studies on PubMed, Medline, and Google Scholar. A random effect meta-analysis was used on the included 13 cross-sectional studies with a total of 33,062 participants. Twelve of the included studies were conducted in China and 1 in Singapore.
  • Evaluation of the risk of bias of included studies was assessed using a modified form of the Newcastle-Ottawa Scale (NOS), with a score >3 considered as low risk of bias.

Outcomes

  • Results were categorized by gender, rating scales, severity of depression, and professional groups for subgroup analysis.
  • The primary outcomes were prevalence (p), confidence intervals (CI), and percentage prevalence (p × 100%). Studies with a low risk of bias were sub-analyzed again (n = 9).
  • Anxiety was evaluated in 12 studies, depression in 10 studies, and insomnia in 5 studies (all 5 studies had a low risk of bias).
  • There was a pooled prevalence of 23.2% for anxiety (29% female, 20.9% male), 22.8% for depression (26.87% female, 20.3% male), and 38.9% for insomnia. Female participants showed higher rates of anxiety and depression, while no subgroup analysis was performed for insomnia.
  • The subgroup analysis of pooled data after excluding each study showed that no single study had >2% effect on the pooled analysis.
  • The subgroup analysis by gender, professional group, and severity suggested that there was an increased prevalence of anxiety and depression in female health care workers, which was consistent with the increased prevalence in the general population.

Conclusions/limitations

There was a questionable effect of between-study heterogeneity. Different studies used different rating scales and different cutoff points on the same scales, which might make the results of pooled analysis unreliable, or might be assumed to increase the confidence. Despite the use of different scales and cutoff points, there was still a high prevalence of anxiety, depression, and insomnia. All studies were conducted in a single geographical region (12 in China and 1 in Singapore). None of the included studies had a control group, either from the general population or compared with pre-COVID-19 rates of depression, anxiety, and insomnia in health care workers.

3. Loades ME, Chatburn E, Higson-Sweeney N, et al. Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19 [published online June 3, 2020]. J Am Acad Child Adolesc Psychiatry. 2020;S0890-8567(20)30337-3. doi: 10.1016/j.jaac.2020.05.009.

The COVID-19 pandemic has led to long periods of isolation/quarantine, social distancing, and school closures, all which have resulted in significant upheaval of the lives of children and adolescents. Loades et al7 explored the impact of loneliness and disease-containment measures related to the COVID-19 pandemic on children and adolescents.

Study design

  • Researchers conducted a systematic review of 63 studies examining the impact of loneliness or disease-containment measures on healthy children and adolescents. located through a search of Medline, PsycINFO, and Web of Science. Sixty-one studies were observational, and 2 were interventional.
  • The search yielded studies published between 1946 and March 29, 2020.
  • The quality of studies was assessed using the National Institutes of Health quality assessment tool.

Continue to: Outcomes

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