| Autor: |
Chaonan Du, Cong Wang, Zhiwei Liu, Nan Bai, Junhao Zhu, Alleyar Ali, Yuanming Geng, Xinrui Zeng, Yu Yang, Zhenxing Li, Chiyuan Ma |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Frontiers in Psychiatry, Vol 15 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1664-0640 |
| DOI: |
10.3389/fpsyt.2024.1361184 |
| Popis: |
BackgroundThe global impact of the COVID-19 pandemic had significantly altered the daily routines of people worldwide. This study aimed to compare how sleeptime and depression among Chinese residents had differed between periods during and outside the epidemic. Furthermore, it delved into the interactive effect of age in this relationship.MethodUtilizing data from the China Health and Retirement Longitudinal Study (CHARLS) study in 2015 and the recently released data from 2020, which covered the pandemic period. Depression was assessed using Center for Epidemiologic Studies Depression Scale (CESD-10), considering a score of 10 or higher as indicative of depression. Participants were categorized based on age, specifically those aged 60 years and older. multivariate logistic regression and interaction analyses were employed to assess the interplay of age, supported by subgroup and sensitivity analyses to reinforce our findings.ResultsThe 2020 database comprised 19,331 participants, while the 2015 database had 10,507 participants. Our findings demonstrated a significant correlation between sleeptime and depression in both unadjusted models and models adjusted for all variables in both datasets (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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