The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Gender differences of depression and anxiety among social media users during the COVID-19 outbreak in China:a cross-sectional study
Open accessAbstract
Background: Studies have shown that the outbreak of infectious diseases would result in mental health problems. Females are in greater risk for psychological problems than males. The present study investigated gender differences of depression and anxiety and explored associated factors during the COVID-19 epidemic among Chinese social media users. Methods: We recruited 3088 participants through social media cross China. Participants completed sociodemographic and the COVID-19 epidemic related questions, the 2-item Patient Health Questionnaire (PHQ-2), and the 2-item Generalized Anxiety Disorder Scale (GAD-2), the Chinese version of the 10-item Connor-Davidson Resilience Scale. We applied Chi-square test and ANOVA for data description and linear regression analysis for exploring factors associated with depression and anxiety. Results: Of 3063 participants eligible for analysis, the total prevalence of depression and anxiety was 14.14 and 13.25%. Females were experiencing more severe stress and anxiety symptoms, while males showed better resilience to stress. The severity of depression symptoms would decrease with the increase of age resilience, and it would increase if being unemployed, feeling less adapted, being more stressed. The severity of anxiety symptoms would decrease with higher education and better resilience, and it would increase if being female, spending over 60 min on COVID-19 related information, less adapted, and being more stressed. Conclusion: The findings show the increased prevalence of depression and anxiety in Chinese population during the COVID-19 epidemic, and females are experiencing more severe anxiety symptoms than males. As social media is the current main resource of information related to COVID-19, interventions should be implemented to help users to limit the time they spend on social media and to get key information related to the epidemic from authoritative and authentic resource to avoid infodemic and prevent mental health problems.
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Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
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Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2003) · Medical Care · doi:10.1097/01.mlr.0000093487.78664.3c · Cited by 6,359
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Cited by
Riad, A., Drobov, A., Krobot, M., Antalová, N., Alkasaby, M. A., Peřina, A., & Koščík, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148418 · Cited by 128
“Frequent exposure to social media content was associated with higher odds of anxiety among Chinese adults during the COVID-19 outbreak in early 2020 [49,50].”
BackgroundZheng, Y., Wang, W., Zhong, Y., Wu, F., Zhu, Z., Tham, Y.-C., Lamoureux, E., Xiao, L., Zhu, E., Liu, H., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/24316 · Cited by 73
Anxiety linked to COVID-19: A systematic review comparing anxiety rates in different populations
Saeed, H., Eslami, A., Nassif, N. T., Simpson, A. M., & Lal, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042189 · Cited by 76
“The degree of anxiety varied, as groups such as healthcare workers, females, and younger populations were more vulnerable than others [121,122].”
BackgroundResultPathways Linking Media Use to Wellbeing during the COVID-19 Pandemic: A Mediated Moderation Study
Gong, J., Firdaus, A., Said, F., Ali Aksar, I., Danaee, M., & Xu, J. (2022) · Social Media + Society · doi:10.1177/20563051221087390 · Cited by 29
Metadata
- Authors
- Hou, F., Bi, F., Jiao, R., Luo, D., & Song, K.
- Venue
- BMC Public Health
- Published
- 2020-11-04
- Volume
- 20
- Issue
- 1
- Pages
- 1648-1648
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W3097628585
- Cited by
- 320
- References
- 44
- FWCI
- 22.39
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hou, F., Bi, F., Jiao, R., Luo, D., & Song, K. (2020). Gender differences of depression and anxiety among social media users during the COVID-19 outbreak in China:a cross-sectional study. BMC Public Health. https://doi.org/10.1186/s12889-020-09738-7
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