The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Impact of COVID-19 lockdown on sleep quality in university students and administration staff
Open accessAbstract
Introduction In Italy, lockdown due to COVID-19 health emergency started on March 10 and partially ended on May 3rd, 2020. There was a significant increase of psychological distress and symptoms of mental illness, and worsening of quality of sleep in the general population. Methods Participants completed an anonymous web-based survey that include questionnaires about sleep and anxiety and depression symptoms. Our sample included 400 subjects: 307 students (mean age 22.84 ± 2.68) and 93 university administration staff workers (mean age 37.02 ± 12.46). Results we found an increase in Bed Time hour, Sleep Latency, and Wake-Up time between before and during COVID-19 emergency and a worsening of sleep quality and of insomnia symptoms. In particular, during the lockdown, the impact of the delay in Bed Time and in Wake-Up was more pronounced in students. In workers, we observed a prevalence of maintenance insomnia before COVID-19 of 24% that significantly increase during COVID-19 reaching 40%, while workers with difficulties in sleep initiation were only 15% that increased to 42%. In our sample, 27.8% showed depressive symptoms, while 34.3% showed anxious symptoms, in particular in students. Conclusion The impact of lockdown was greater in students than in workers, and in females than in males. Concerning the psycho-emotional aspects, about one-third of our sample showed depressive or anxious symptoms. The results of our study may provide support for the implementation of some interventions for well-being in pandemic condition.
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The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · doi:10.2139/ssrn.3532534 · Cited by 16,394
The psychological impact of quarantine and how to reduce it: Rapid review of the evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30460-8 · Cited by 16,378
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051729 · Cited by 9,923
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535
Huang, Y., & Zhao, N. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112954 · Cited by 3,736
SARS control and psychological effects of quarantine, Toronto, Canada
Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., & Styra, R. (2004) · Emerging Infectious Diseases · doi:10.3201/eid1007.030703 · Cited by 1,929
Altena, E., Baglioni, C., Espie, C. A., Ellis, J., Gavriloff, D., Holzinger, B., Schlarb, A., Frase, L., Jernelöv, S., & Riemann, D. (2020) · Journal of Sleep Research · doi:10.1111/jsr.13052 · Cited by 991
Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020) · Medical Science Monitor · doi:10.12659/msm.923921 · Cited by 913
Losada-Baltar, A., Jiménez-Gonzalo, L., Gallego-Alberto, L., Pedroso-Chaparro, M. D. S., Fernandes-Pires, J., & Márquez-González, M. (2021) · The Journals of Gerontology: Series B · doi:10.1093/geronb/gbaa048 · Cited by 508
Wu, K. K., Chan, S. K., & Ma, T. M. (2005) · Journal of Traumatic Stress · doi:10.1002/jts.20004 · Cited by 419
Insomnia during the COVID-19 pandemic in a Greek population
Voitsidis, P., Gliatas, I., Bairachtari, V., Papadopoulou, K., Papageorgiou, G., Parlapani, E., Syngelakis, M., Holeva, V., & Diakogiannis, I. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113076 · Cited by 411
Validation study of the Italian version of the Insomnia Severity Index (ISI)
Castronovo, V., Galbiati, A., Marelli, S., Brombin, C., Cugnata, F., Giarolli, L., Anelli, M. M., Rinaldi, F., & Ferini-Strambi, L. (2016) · Neurological Sciences · doi:10.1007/s10072-016-2620-z · Cited by 217
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Cited by
Spitzer, M. W. H., & Musslick, S. (2021) · PLOS ONE · doi:10.1371/journal.pone.0255629 · Cited by 138
Du, C., Zan, M. C. H., Cho, M. J., Fenton, J. I., Hsiao, P. Y., Hsiao, R., Keaver, L., Lai, C.-C., Lee, H., Ludy, M.-J., et al. (2021) · Nutrients · doi:10.3390/nu13020442 · Cited by 108
Nomura, K., Minamizono, S., Maeda, E., Kim, R., Iwata, T., Hirayama, J., Ono, K., Fushimi, M., Goto, T., Mishima, K., et al. (2021) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-021-00953-1 · Cited by 90
Mehta, K. J. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-01031-1 · Cited by 72
Roche, A. I., Holdefer, P. J., & Thomas, E. B. K. (2024) · Current Psychology · doi:10.1007/s12144-022-03193-w · Cited by 48
Metadata
- Authors
- Marelli, S., Castelnuovo, A., Somma, A., Castronovo, V., Mombelli, S., Bottoni, D., Leitner, C., Fossati, A., & Ferini-Strambi, L.
- Venue
- Journal of Neurology
- Published
- 2020-07-11
- Volume
- 268
- Issue
- 1
- Pages
- 8-15
- ISSN
- 0012-1037 (ISSN-L)
- 0340-5354
- 1432-1459
- OpenAlex
- W3041330367
- Cited by
- 685
- References
- 14
- FWCI
- 54.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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