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Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic was reported to have increased depression among university students which was associated with impairments in their campus lives. This study examined changes in depressive states among Japanese university students during the COVID-19 pandem...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563354/ https://www.ncbi.nlm.nih.gov/pubmed/37814328 http://dx.doi.org/10.1186/s12991-023-00468-9 |
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author | Shiraishi, N. Sakata, M. Toyomoto, R. Yoshida, K. Luo, Y. Nakagami, Y. Tajika, A. Watanabe, T. Sahker, E. Uwatoko, T. Shimamoto, T. Iwami, T. Furukawa, T. A. |
author_facet | Shiraishi, N. Sakata, M. Toyomoto, R. Yoshida, K. Luo, Y. Nakagami, Y. Tajika, A. Watanabe, T. Sahker, E. Uwatoko, T. Shimamoto, T. Iwami, T. Furukawa, T. A. |
author_sort | Shiraishi, N. |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic was reported to have increased depression among university students which was associated with impairments in their campus lives. This study examined changes in depressive states among Japanese university students during the COVID-19 pandemic. METHODS: A secondary data analysis from a factorial randomized controlled trial involving smartphone-based cognitive-behavioral therapy was performed. Six cohorts (N = 1626) underwent an 8-week intervention during the spring or autumn of 2019–2021, with a 9-month follow-up. We evaluated participants’ depressive states weekly using the Patient Health Questionnaire-9 (PHQ-9) during the intervention, with monthly evaluations thereafter. The follow-up periods included Japan’s four states of emergency (SOEs) to control COVID-19. Hypothesizing that SOEs caused a sudden worsening of depressive states, Study 1 compared the cohorts’ PHQ-9 scores, and Study 2 employed time series analysis with a mixed-effects model to estimate identified changes in PHQ-9 scores. RESULTS: Although no changes in depressive states were observed in relation to the SOEs, Study 1 identified sudden increases in PHQ-9 scores at the 28-week evaluation point, which corresponded to the beginning of the new academic year for the three autumn cohorts. In contrast, the three spring cohorts did not exhibit similar changes. Study 2 showed that, for all three autumn cohorts (n = 522), the 0.60-point change was significant (95% CI 0.42–0.78; p < .001) at 28 weeks; that is, when their timeline was interrupted. CONCLUSIONS: While the results do not indicate any notable impact of the SOEs, they highlight the influence of the new academic year on university students’ mental health during COVID-19. Trial registration UMIN, CTR-000031307. Registered on February 14, 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12991-023-00468-9. |
format | Online Article Text |
id | pubmed-10563354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105633542023-10-11 Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis Shiraishi, N. Sakata, M. Toyomoto, R. Yoshida, K. Luo, Y. Nakagami, Y. Tajika, A. Watanabe, T. Sahker, E. Uwatoko, T. Shimamoto, T. Iwami, T. Furukawa, T. A. Ann Gen Psychiatry Research BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic was reported to have increased depression among university students which was associated with impairments in their campus lives. This study examined changes in depressive states among Japanese university students during the COVID-19 pandemic. METHODS: A secondary data analysis from a factorial randomized controlled trial involving smartphone-based cognitive-behavioral therapy was performed. Six cohorts (N = 1626) underwent an 8-week intervention during the spring or autumn of 2019–2021, with a 9-month follow-up. We evaluated participants’ depressive states weekly using the Patient Health Questionnaire-9 (PHQ-9) during the intervention, with monthly evaluations thereafter. The follow-up periods included Japan’s four states of emergency (SOEs) to control COVID-19. Hypothesizing that SOEs caused a sudden worsening of depressive states, Study 1 compared the cohorts’ PHQ-9 scores, and Study 2 employed time series analysis with a mixed-effects model to estimate identified changes in PHQ-9 scores. RESULTS: Although no changes in depressive states were observed in relation to the SOEs, Study 1 identified sudden increases in PHQ-9 scores at the 28-week evaluation point, which corresponded to the beginning of the new academic year for the three autumn cohorts. In contrast, the three spring cohorts did not exhibit similar changes. Study 2 showed that, for all three autumn cohorts (n = 522), the 0.60-point change was significant (95% CI 0.42–0.78; p < .001) at 28 weeks; that is, when their timeline was interrupted. CONCLUSIONS: While the results do not indicate any notable impact of the SOEs, they highlight the influence of the new academic year on university students’ mental health during COVID-19. Trial registration UMIN, CTR-000031307. Registered on February 14, 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12991-023-00468-9. BioMed Central 2023-10-10 /pmc/articles/PMC10563354/ /pubmed/37814328 http://dx.doi.org/10.1186/s12991-023-00468-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shiraishi, N. Sakata, M. Toyomoto, R. Yoshida, K. Luo, Y. Nakagami, Y. Tajika, A. Watanabe, T. Sahker, E. Uwatoko, T. Shimamoto, T. Iwami, T. Furukawa, T. A. Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title | Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title_full | Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title_fullStr | Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title_full_unstemmed | Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title_short | Dynamics of depressive states among university students in Japan during the COVID-19 pandemic: an interrupted time series analysis |
title_sort | dynamics of depressive states among university students in japan during the covid-19 pandemic: an interrupted time series analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563354/ https://www.ncbi.nlm.nih.gov/pubmed/37814328 http://dx.doi.org/10.1186/s12991-023-00468-9 |
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