Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies

• Autores: Juan Bueno Notivol, Patricia Gracia García, Beatriz Olaya Guzmán, Isabel Lasheras, Raúl López Antón, J. Santabarbara
• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 21, Nº. 1, 2021, págs. 20-31
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2020.07.007
• Títulos paralelos:
  • Prevalencia de depresión durante el brote de COVID-19: meta-análisis de estudios con muestras comunitarias
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• Dialnet Métricas: 24 Citas
• Resumen
  • español

    Introducción: La pandemia de COVID-19, declarada el 11 de marzo de 2020, representa un reto global extraordinario a nivel sanitario, social y económico. Se espera un impacto alto en la salud mental de las personas. Este artículo tiene como objetivo realizar una revisión sistemática de estudios transversales basados en muestras comunitarias que proporcionaban la prevalencia de depresión durante la crisis del COVID-19. Método: Se realizó una búsqueda de estudios comunitarios publicados en Pubmed y Web of Science desde el 1 de enero del 2020 al 8 de mayo del 2020 y que informaron sobre la prevalencia de depresión. Se usó un modelo de efectos aleatorios para estimar la proporción agrupada de depresión. Resultados: Un total de 12 estudios fueron incluidos en el meta-análisis, con prevalencias de depresión que oscilaban entre 7,45% y 48,30%. La prevalencia agrupada de depresión fue de 25% (95% CI: 18%-33%), con heterogeneidad significativa entre estudios (I2=99,60%, p<0,001). Conclusiones: En comparación con una estimación global de depresión en 2017 del 3,44%, nuestra prevalencia agrupada del 25% es 7 veces mayor, sugiriendo un impacto importante del brote de COVID-19 en la salud mental de las personas. El abordaje de la salud mental durante y después de esta crisis global sanitaria debe ser parte de las agendas de salud pública nacionales e internacionales para mejorar el bienestar de los ciudadanos.

  • English

    ntroduction: COVID-19 pandemic, declared on March 11, 2020, constitute an extraordinary health, social and economic global challenge. The impact on people's mental health is expected to be high. This paper sought to systematically review community-based studies on depression conducted during the COVID-19 and estimate the pooled prevalence of depression. Method: We searched for cross-sectional, community-based studies listed on PubMed or Web of Science from January 1, 2020 to May 8, 2020 that reported prevalence of depression. A random effect model was used to estimate the pooled proportion of depression. Results: A total of 12 studies were included in the meta-analysis, with prevalence rates of depression ranging from 7.45% to 48.30%. The pooled prevalence of depression was 25% (95% CI: 18%−33%), with significant heterogeneity between studies (I2=99.60%, p<.001). Conclusions: Compared with a global estimated prevalence of depression of 3.44% in 2017, our pooled prevalence of 25% appears to be 7 times higher, thus suggesting an important impact of the COVID-19 outbreak on people's mental health. Addressing mental health during and after this global health crisis should be placed into the international and national public health agenda to improve citizens’ wellbeing.

• Referencias bibliográficas
  • Ahmed et al., 2020, Epidemic of COVID-19 in China and associated Psychological Problems. Asian Journal of Psychiatry, 51 (2020), http://dx.doi.org/10.1016/j.ajp.2020.102092
  • Asmundson and Taylor, 2020, Asmundson, G.J.G., & Taylor, S. (2020). Coronaphobia: Fear and the 2019-nCoV outbreak. Journal of Anxiety...
  • Begg and Mazumdar, 1994, Operating Characteristics of a Rank Correlation Test for Publication Bias. Biometrics, 50 (1994), pp. 1088-1101 http://dx.doi.org/10.2307/2533446
  • Brailovskaia and Margraf, 2021, Predicting adaptive and maladaptive responses to the Coronavirus (COVID-19) outbreak: A prospective longitudinal...
  • Brooks et al., 2020, The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet (London, England),...
  • Chew et al., 2020, Narrative synthesis of psychological and coping responses towards emerging infectious disease outbreaks in the general...
  • DerSimonian and Laird, 1986, Meta-Analysis in Clinical Trials. Controlled Clinical Trials, 7 (1986), pp. 177-188 http://dx.doi.org/10.1016/0197-2456(86)90046-2
  • Dunstan et al., 2017, Screening for anxiety and depression: Reassessing the utility of the Zung scales. BMC Psychiatry, 17 (2017), pp. 329...
  • Egger et al., 1998, Spurious precision? Meta-analysis of observational studies. BMJ, 316 (1998), pp. 140-144 http://dx.doi.org/10.1136/bmj.316.7125.140
  • Egger et al., 1997, Bias in meta-analysis detected by a simple, graphical test. BMJ, 315 (1997), pp. 629-634 http://dx.doi.org/10.1136/bmj.315.7109.629
  • Fardin, 2020, COVID-19 and Anxiety: A Review of Psychological Impacts of Infectious Disease Outbreaks. Archives of Clinical Infectious Diseases,...
  • Ferrari et al., 2013, Global variation in the prevalence and incidence of major depressive disorder: A systematic review of the epidemiological...
  • Freeman and Tukey, 1950, Transformations related to the angular and the square root. Annals of Mathematical Statistics, 21 (1950), pp. 607-611
  • Gao et al., 2020, Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE, 15 (2020), http://dx.doi.org/10.1371/journal.pone.0231924
  • Hawryluck et al., 2004, SARS control and psychological effects of quarantine, Toronto, Canada. Emerging Infectious Diseases, 10 (2004), pp....
  • Higgins and Green, 2011, Cochrane Handbook for Systematic Reviews of Interventions: Version 5.1.0
  • Higgins et al., 2003, Measuring inconsistency in meta-analyses. BMJ, 327 (2003), pp. 557-560 http://dx.doi.org/10.1136/bmj.327.7414.557
  • Huang and Zhao, 2020, Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: A web-based cross-sectional...
  • Huremović, 2019, Social Distancing, Quarantine, and Isolation. Psychiatry of Pandemics, pp. 85-94
  • Kazmi et al., 2020, COVID-19 and Lockdwon: A Study on the Impact on Mental Health. SSRN Electronic Journal, (2020), http://dx.doi.org/10.2139/ssrn.3577515
  • Lei et al., 2020, Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected...
  • Levis et al., 2019, Comparison of depression prevalence estimates in meta-analyses based on screening tools and rating scales versus diagnostic...
  • Lim et al., 2018, Prevalence of Depression in the Community from 30 Countries between 1994 and 2014. Scientific Reports, 8 (2018), pp. 2861...
  • Lu et al., 2020, Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. Journal of Medical Virology, 92 (2020),...
  • Mazza et al., 2020, A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological...
  • Moher et al., 2009, Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6 (2009), http://dx.doi.org/10.1371/journal.pmed.1000097
  • Moola et al., 2017, Systematic reviews of etiology and risk. Joanna Briggs Institute Reviewer's Manual, pp. 219-226
  • Nguyen et al., 2020, People with Suspected COVID-19 Symptoms Were More Likely Depressed and Had Lower Health-Related Quality of Life: The...
  • Ni et al., 2020, Mental health, risk factors, and social media use during the COVID-19 epidemic and cordon sanitaire among the community and...
  • Nyaga et al., 2014, Metaprop: A Stata command to perform meta-analysis of binomial data. Archives of Public Health, 72 (2014), pp. 39 http://dx.doi.org/10.1186/2049-3258-72-39
  • Ofri, 2009, The Emotional Epidemiology of H1N1 Influenza Vaccination. New England Journal of Medicine, 361 (2009), pp. 2594-2595 http://dx.doi.org/10.1056/NEJMp0911047
  • Perestelo-Pérez, 2013, Standards on how to develop and report systematic reviews in psychology and health. International Journal of Clinical...
  • Pfefferbaum and North, 2020, Mental Health and the Covid-19 Pandemic. New England Journal of Medicine. Advance online publication, (2020),...
  • Rajkumar, 2020, COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry, 52 (2020), http://dx.doi.org/10.1016/j.ajp.2020.102066
  • Ritchie and Roser, 2018, Ritchie, H., Roser, M. (2018). Mental Health. Our World in Data. Retrieved from https://ourworldindata.org/mental-health
  • Seligman, 1972, Learned Helplessness. Annual Review of Medicine, 23 (1972), pp. 407-412 http://dx.doi.org/10.1146/annurev.me.23.020172.002203
  • Shevlin et al., 2020, Shevlin, M., McBride, O., Murphy, J., Miller, J.G., Hartman, T.K., Levita, L., Mason, L., Martinez, A.P., McKay, R.,...
  • Shigemura et al., 2020, Public responses to the novel 2019 coronavirus (2019-nCoV) in Japan: Mental health consequences and target populations....
  • Sommariva et al., 2018, Spreading the (Fake) News: Exploring Health Messages on Social Media and the Implications for Health Professionals...
  • Sønderskov et al., 2020, The depressive state of Denmark during the COVID-19 pandemic. Acta Neuropsychiatrica, 32 (2020), pp. 226-228 http://dx.doi.org/10.1017/neu.2020.15
  • Thompson and Higgins, 2002, How should meta-regression analyses be undertaken and interpreted?. Statistics in Medicine, 21 (2002), pp. 1559-1573...
  • von Hippel, 2015, The heterogeneity statistic I2 can be biased in small meta-analyses. BMC Medical Research Methodology, 15 (2015), pp. 35...
  • Wang et al., 2020, Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19)...
  • Wang et al., 2020, A Longitudinal Study on the Mental Health of General Population during the COVID-19 Epidemic in China. Brain, Behavior,...
  • Wang et al., 2020, Wang, Y., Di, Y., Ye, J., & Wei, W. (2020). Study on the public psychological states and its related factors during...
  • World Health Organization, 2020a, World Health Organization (2020a). Coronavirus disease (COVID-19) situation dashboard. Retrieved from https://covid19.who.int
  • World Health Organization, 2020b, World Health Organization. (2020b). WHO Director-General's opening remarks at the media briefing on...