This article is a commentary on:
Impact of the COVID-19 Pandemic on the Mental Health of College Students: A Systematic Review and Meta-Analysis
Joel Swai
Adam Mohamed
Jing-ping Zhang- 1Department of Medicine, University of Alberta, Edmonton, AB, Canada
- 2Department of Internal Medicine, Benjamin Mkapa Hospital, Dodoma, Tanzania
- 3Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China
- 4Department of Nursing Management, Xiangya School of Nursing, Central South University, Changsha, China
A Commentary on
Impact of the COVID-19 Pandemic on the Mental Health of College Students: A Systematic Review and Meta-Analysis
by Li, Y., Wang, A., Wu, Y., Han, N., and Huang, H. (2021). Front. Psychol. 12:669119. doi: 10.3389/fpsyg.2021.669119
Introduction
Coronavirus Disease 2019 (COVID-19) pandemic has resulted in adverse psychological effects among individuals globally. Recurring infection waves, extended lockdowns, the emergence of more transmissible, and immunity evasive variants are among the unpredictable factors that lead to an increased sense of fear associated with the pandemic (Batista et al., 2021). Moreover, social isolation, quarantines, unemployment, and long-covid are strongly associated with depression (Loades et al., 2020; Islam et al., 2021). These issues indicate the need for epidemiological studies exploring the pandemic's effect on mental health.
In a recent meta-analysis study by Li et al. (2021), the authors pooled the prevalence of anxiety and depression associated with COVID-19 among college students. They reported a prevalence of 36% [95% Confidence Interval (CI): 26–46] and 39% [CI: 27–51] for anxiety and depression, respectively, both with statistically significant high heterogeneity of 99.9%, p < 0.01. In their study limitations section, authors called upon further heterogeneity analyses by considering the confounding factors. In response, we performed a meta-regression and pooled the prevalence of anxiety and depression stratifying results by potential confounders (i.e., gender, survey instrument used, survey country, and survey dates).
Prevalence of Anxiety
Figures 1A–D summarizes the meta-regression of pooled proportions (Proportion = prevalence/100%) of anxiety stratified by survey date, survey instrument, survey country, and male-female ratio. The prevalence of anxiety was statistically significant higher in studies conducted after March the first [beta = 2.68; standard error (SE) = 0.67, t = 3.95, p = 0.001; CI: 1.58–4.55]. There was no statistically significant difference in the prevalence among studies using different survey instruments (i.e., DASS, GAD-2, GAD-7, or SAS) to assess anxiety [beta = 0.77; SE = 0.12, t = −1.64, p = 0.119; CI: 0.55–1.08].
FIGURE 1
Figure 1. Meta-regression of pooled proportions (proportion = prevalence/100%) of anxiety and depression. (A) Anxiety proportion stratified by survey date; (B) anxiety proportion stratified by survey instrument; (C) anxiety proportion stratified by survey country; (D) anxiety proportion stratified by male-female ratio; (E) depression proportion stratified by survey dates; (F) depression proportion stratified by survey instrument; (G) depression proportion stratified by survey country; and (H) depression proportion stratified by male-female ratio.
Moreover, the prevalence of anxiety in Asian (i.e., Bangladesh, China, and Jordan) countries were lower as compared to European (i.e., Spain, Switzerland) and America [beta = 1.27; SE = 0.08, t = 3.86, p = 0.001; CI: 1.11–1.44]. Interestingly, studies with more males than females (i.e., male: female >1) had higher prevalence of anxiety than studies with more females than males (i.e., male; females <1) [beta = 0.26; SE = 0.09, t = 3.69, p = 0.002; CI: 0.12–0.56].
Having identified the confounders, we, therefore, pooled the overall prevalence of anxiety only including studies (Jiang et al., 2020; Liu et al., 2020; Wang and Zhao, 2020) conducted in the same country (i.e., China), on the same survey dates (i.e., before the first of March), and having the same male-female ratio (i.e., 0.7). The overall proportion was 0.15 [CI: 0.14–0.16] (i.e., prevalence = 15%) with non-significant heterogeneity (I2) of 63.8%, p = 0.063. There was no sufficient data to conduct this analysis in other countries.
Prevalence of Depression
Figures 1E–H illustrates the meta-regression of pooled prevalence of depression stratified by survey date, survey instrument, survey country, and male-female ratio. Studies conducted after the first of March had a higher pooled prevalence of depression than before [beta = 2.48; SE = 0.52, t = 4.31, p = 0.001; CI: 1.58–3.87]. There was no statistically significantly difference in depression prevalence among different studies that used separate survey instruments [beta = 1.02; SE = 0.22, t = 0.11, p = 0.916; CI: 0.65–1.62].
Studies conducted in Asia reported a statistically significantly lower prevalence of depression than studies conducted in America and South-East Asia [beta = 1.25; SE = 0.096, t = 2.90, p = 0.01; CI: 1.06–1.47]. Again, studies with more males than females had higher prevalence of depression as compared to more females than males [beta = 0.25; SE = 0.082, t = 4.19, p = 0.001; CI: 0.12–0.50].
We pooled the overall prevalence of depression only including studies (Chang et al., 2020; Chi et al., 2020) conducted in the same country (i.e., China), on the same survey dates (i.e., before the first of March), having the same male-female ratio (i.e., 0.6) and used same survey instrument (i.e., PHQ-9). The overall proportion was 0.22 [CI: 0.20–0.24] (i.e., prevalence = 22%) with non-significant heterogeneity (I2) of 66.80%, p = 0.083. Other countries had no sufficient data to conduct this analysis.
Conclusions
The differences in the college students' prevalence of depression and anxiety among nations and study survey dates, reported by Li et al., are statistically significant (i.e., p < 0.05). However, the prevalence of anxiety and depression are 15 and 22%, respectively, instead of 36 and 39% reported by Li et al. In addition, studies with more males than females had a statistically significant higher prevalence of anxiety and depression than studies with more females than males.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
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References
Batista, P., Duque, V., Luzio-Vaz, A., and Pereira, A. (2021). Anxiety impact during COVID-19: a systematic review. J. Infect. Develop. Countries 15, 320–325. doi: 10.3855/jidc.12730
Chang, J., Yuan, Y., and Wang, D. (2020). [Mental health status and its influencing factors among college students during the epidemic of COVID-19]. Nan Fang Yi Ke Da Xue Xue Bao. 40, 171–176. doi: 10.12122/j.issn.1673-4254.2020.02.06
Chi, X., Becker, B., Yu, Q., Willeit, P., Jiao, C., Huang, L., et al. (2020). Prevalence and psychosocial correlates of mental health outcomes among Chinese college students during the coronavirus disease (COVID-19) pandemic. Front. Psychiatry. 11:803. doi: 10.3389/fpsyt.2020.00803
Islam, M. S., Ferdous, M. Z., Islam, U. S., Mosaddek, A. S. M., Potenza, M. N., and Pardhan, S. (2021). Treatment, persistent symptoms, and depression in people infected with COVID-19 in Bangladesh. Int. J. Environ. Res. Public Health 18:1453. doi: 10.3390/ijerph18041453
Jiang, Y., He, L., Meng, Y., Liu, Z., Zhang, T., Zhou, Y., et al. (2020). Analysis of mental health status and influencing factors of preventive medicine students in a university during the outbreak of new coronavirus pneumonia. J. Xiangnan Univers. 22, 59–62.
Li, Y., Wang, A., Wu, Y., Han, N., and Huang, H. (2021). Impact of the COVID-19 pandemic on the mental health of college students: a systematic review and meta-analysis. Front. Psychol. 12:669119. doi: 10.3389/fpsyg.2021.669119
Liu, J., Zhu, Q., Fan, W., Makamure, J., Zheng, C., and Wang, J. (2020). Online mental health survey in a medical college in china during the COVID-19 outbreak. Front. Psychiatry 11:459. doi: 10.3389/fpsyt.2020.00459
Loades, M. E., Chatburn, E., Higson-Sweeney, N., Reynolds, S., Shafran, R., Brigden, A., et al. (2020). Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. J. Am. Acad. Child Adolesc. Psychiatry 59, 1218.e3–1239.e3. doi: 10.1016/j.jaac.2020.05.009
Keywords: college students, coronavirus disease 2019, mental health, depression, anxiety, meta-analysis
Citation: Swai J, Mohamed A and Zhang J-p (2021) Commentary: Impact of the COVID-19 Pandemic on the Mental Health of College Students: A Systematic Review and Meta-Analysis. Front. Psychol. 12:753798. doi: 10.3389/fpsyg.2021.753798
Received: 05 August 2021; Accepted: 25 October 2021;
Published: 16 November 2021.
Edited by:
Stephen Clift, Canterbury Christ Church University, United KingdomReviewed by:
Aleksandra Maria Rogowska, University of Opole, PolandCopyright © 2021 Swai, Mohamed and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Joel Swai, jswai@ualberta.ca; orcid.org/0000-0001-5363-3977