Min Yang1, Ping He2, Xiaoming Xu3, Dan Li4, Jing Wang1, Yanjun Wang1, Bin Wang1, Wo Wang5, Mei Zhao4, Hui Lin6, Mingming Deng7, Tianwei Deng8, Li Kuang3, Dongfeng Chen1. 1. Army Medical Center of PLA, Daping Hospital, Army Medical University, Chongqing, P.R. China. 2. Department of Gastroenterology, Yongchuan Hospital of Chongqing Medical University, Chongqing, P.R. China. 3. Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China. 4. CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, P.R. China. 5. Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, P.R. China. 6. Department of Statistics, Army Medical University, Chongqing, P.R. China. 7. Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China. 8. Department of Gastroenterology, Three Gorges Hospital of Chongqing University, Chongqing, P.R. China.
Abstract
BACKGROUND & AIM: The coronavirus disease 2019 (COVID-19) pandemic has affected the life and work of people worldwide. The present study aimed to evaluate the rhythm disruptions of life, work, and entertainment, and their associations with the psychological impacts during the initial phase of the COVID-19 pandemic. METHOD: A cross-sectional study was conducted from the 10th to 17th March 2020 in China. A structured e-questionnaire containing general information, the Chinese version of Brief Social Rhythm Scale, and Zung's self-rating scales of depression and anxiety (SDS and SAS) was posted and collected online through a public media (i.e. EQxiu online questionnaire platform). Scores in sleeping, getting up, and socializing (SGS) rhythm and eating, physical practice, and entertainment (EPE) rhythm were compared among and between participants with different sociodemographic backgrounds including gender, age, education, current occupation, annual income, health status, and chronic disease status. Correlations of SDS and SAS with SGS-scale and EPE-scale were also analyzed. RESULTS: Overall, 5854 participants were included. There were significant differences in the scores of SGS-scale and EPE-scale among people with different sociodemographic backgrounds. The scores were significantly higher in the groups with female gender, low education level, lower or higher than average income, poor health status, ages of 26-30 years or older than 61 years, nurses and subjects with divorce or widow status. There were also significant differences in SAS and SDS scores among people with different sociodemographic backgrounds (all P< 0.05). The overall prevalence of depression and anxiety was 24.3% and 12.6%, respectively, with nurses having the highest rates of depression (32.94%) and anxiety (18.98%) among the different occupational groups. SGS-scale was moderately correlated with SDS and SAS, and disruption of SGS rhythm was an independent risk factor for depression and anxiety. CONCLUSION: Social rhythm disruption was independently associated with depression and anxiety. Interventions should be applied to people vulnerable to the rhythm disruption during the COVID-19 pandemic.
BACKGROUND & AIM: The coronavirus disease 2019 (COVID-19) pandemic has affected the life and work of people worldwide. The present study aimed to evaluate the rhythm disruptions of life, work, and entertainment, and their associations with the psychological impacts during the initial phase of the COVID-19 pandemic. METHOD: A cross-sectional study was conducted from the 10th to 17th March 2020 in China. A structured e-questionnaire containing general information, the Chinese version of Brief Social Rhythm Scale, and Zung's self-rating scales of depression and anxiety (SDS and SAS) was posted and collected online through a public media (i.e. EQxiu online questionnaire platform). Scores in sleeping, getting up, and socializing (SGS) rhythm and eating, physical practice, and entertainment (EPE) rhythm were compared among and between participants with different sociodemographic backgrounds including gender, age, education, current occupation, annual income, health status, and chronic disease status. Correlations of SDS and SAS with SGS-scale and EPE-scale were also analyzed. RESULTS: Overall, 5854 participants were included. There were significant differences in the scores of SGS-scale and EPE-scale among people with different sociodemographic backgrounds. The scores were significantly higher in the groups with female gender, low education level, lower or higher than average income, poor health status, ages of 26-30 years or older than 61 years, nurses and subjects with divorce or widow status. There were also significant differences in SAS and SDS scores among people with different sociodemographic backgrounds (all P< 0.05). The overall prevalence of depression and anxiety was 24.3% and 12.6%, respectively, with nurses having the highest rates of depression (32.94%) and anxiety (18.98%) among the different occupational groups. SGS-scale was moderately correlated with SDS and SAS, and disruption of SGS rhythm was an independent risk factor for depression and anxiety. CONCLUSION: Social rhythm disruption was independently associated with depression and anxiety. Interventions should be applied to people vulnerable to the rhythm disruption during the COVID-19 pandemic.
Authors: Piyumi Kahawage; Ben Bullock; Denny Meyer; John Gottlieb; Marie Crowe; Holly A Swartz; Lakshmi N Yatham; Maree Inder; Richard J Porter; Andrew A Nierenberg; Ybe Meesters; Marijke Gordijn; Bartholomeus C M Haarman; Greg Murray Journal: Can J Psychiatry Date: 2022-05-10 Impact factor: 5.321
Authors: Ion Popa; Simona Cătălina Ștefan; Ana Alexandra Olariu; Ștefan Cătălin Popa; Cătălina Florentina Popa Journal: Int J Environ Res Public Health Date: 2022-02-07 Impact factor: 3.390