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Prevalence and Factors Associated with Depression and Anxiety of Hospitalized Patients with COVID-19
Open accessAbstract
Objective: The 2019 coronavirus disease (COVID-19) epidemic has raised international concern. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence and factors linked to anxiety and depression in hospitalized patients with COVID-19. Methods: A total of 144 patients diagnosed with COVID-19 were included in this study. We assessed depression and anxiety symptoms using the Hospital Anxiety and Depression Scale (HADS), and social support using the Perceived Social Support Scale (PSSS) among patients at admission. Multivariate linear regression analyses were performed to identify factors associated with symptoms of anxiety and depression. Results: Of the 144 participants, 34.72% and 28.47% patients with COVID-19 had symptoms of anxiety or depression, respectively. The bivariate correlations showed that less social support was correlated with more anxious (r=-0.196, p<0.05) and depressive (r=-0.360,p<0.05) symptoms among patients with COVID-19. The multiple linear regression analysis showed that gender (β=1.446, p=0.034), age (β=0.074, p=0.003), oxygen saturation (β =-2.140, p=0.049), and social support (β =-1.545, p=0.017) were associated with anxiety for COVID-19 patients. Moreover, age (β=0.084, p=0.001), family infection with SARS-CoV-2 (β =1.515, p=0.027) and social support (β =-2.236, p<0.001) were the factors associated with depression. Conclusion: Hospitalized patients with COVID-19 presented features of anxiety and depression. Mental concern and appropriate intervention are essential parts of clinical care for those who are at risk.
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“Another study with 114 patients reported that 34.7% of patients presented anxiety symptoms, while 28.5% of them displayed depression symptoms [150].”
From Hyperactivation of P2X7 receptors as a culprit of COVID-19 neuropathology (2021) · cites this paper as [150]
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Rogers, J. P., Chesney, E., Oliver, D., Pollak, T. A., McGuire, P., Fusar-Poli, P., Zandi, M. S., Lewis, G., & David, A. S. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30203-0 · Cited by 2,407
Wu, T., Jia, X., Shi, H., Niu, J., Yin, X., Xie, J., & Wang, X. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.11.117 · Cited by 1,138
The prevalence of depression, anxiety, and sleep disturbances in COVID-19 patients: a meta-analysis
Deng, J., Zhou, F., Hou, W., Silver, Z., Wong, C. Y., Chang, O., Huang, E., & Zuo, Q. K. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14506 · Cited by 771
Krishnamoorthy, Y., Nagarajan, R., Saya, G. K., & Menon, V. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113382 · Cited by 550
Psychiatric and neuropsychiatric sequelae of COVID-19 – A systematic review
Schou, T. M., Joca, S. R. L., Wegener, G., & Bay-Richter, C. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.07.018 · Cited by 424
Metadata
- Authors
- Kong, X., Zheng, K., Tang, M., Kong, F., Zhou, J., Diao, L., Wu, S., Jiao, P., Su, T., & Dong, Y.
- Affiliations
- Changhai Hospital (CN)
- Corresponding author
- Jiao, Piqi
- Su, Tong
- Dong, Yuchao
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2020-03-30
- OpenAlex
- W3013188818
- Cited by
- 218
- References
- 16
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 21 · 2023: 37 · 2022: 57 · 2021: 62 · 2020: 31
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- medRxiv (acceptedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- COVID-19 pandemic, depression, anxiety, hospitalized patients, social support, prevalence, risk factors, oxygen saturation, family infection, gender differences, age
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