The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies
Open accessAbstract
Introduction: 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. 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.
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Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A. (2021) · JMIR Formative Research · doi:10.2196/27868 · Cited by 260
“The increased burden of depression and anxiety, which arose during the COVID-19 pandemic, has exacerbated this issue [2], as the measures that were put in place to stop the spread of SARS-CoV-2 have also presented unintended barriers to those seeking mental health treatment.”
BackgroundAddressing the mental health impact of COVID-19 through population health
Boden, M., Zimmerman, L., Azevedo, K. J., Ruzek, J. I., Gala, S., Abdel Magid, H. S., Cohen, N., Walser, R., Mahtani, N. D., Hoggatt, K. J., et al. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102006 · Cited by 216
Bucciarelli, V., Nasi, M., Bianco, F., Seferovic, J., Ivkovic, V., Gallina, S., & Mattioli, A. V. (2022) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2021.09.009 · Cited by 152
Eisenbeck, N., Carreno, D. F., Wong, P. T. P., Hicks, J. A., María, R.-R. G., Puga, J. L., Greville, J., Testoni, I., Biancalani, G., López, A. C. C., et al. (2022) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2021.100256 · Cited by 108
Sorkin, D. H., Janio, E. A., Eikey, E. V., Schneider, M., Davis, K., Schueller, S. M., Stadnick, N. A., Zheng, K., Neary, M., Safani, D., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/26994 · Cited by 108
Metadata
- Authors
- Bueno-Notivol, J., Gracia-García, P., Olaya, B., Lasheras, I., López-Antón, R., & Santabárbara, J.
- Venue
- International Journal of Clinical and Health Psychology
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 21
- Issue
- 1
- Pages
- 100196
- ISSN
- 1697-2600 (ISSN-L)
- OpenAlex
- W3082863379
- Cited by
- 820
- References
- 48
- FWCI
- 15.53
- Type
- journal article
- Language
- en
- Open access
- gold
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