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6. Worry and Fear during the COVID-19 Epidemic Normalization: Analyzing Prevalence and Risk Factors among 182,991 High School Students in China

Author

Xu, Qingqing, Fan, Keliang, Wei, Dandan, Liu, Pengling, Wang, Juan, Wang, Xian, Lou, Xiaomin, Lin, Hualiang, Wang, Chongjian, Wu, Cuiping, and Mao, Zhenxing

Abstract

It is worth paying attention to the level of worry and fear of students during the normalization of the epidemic. We conducted the cross-sectional study that included 182,991 high school students using an online survey to assess worry and fear levels and its influencing factors in three cities in Henan Province, China, from May 21 to May 27, 2021. Worry and fear levels were measured using a five-item Likert-type scale. Multinomial logistic regression was used to analyze the risk factors. Approximately 65.42% of students reported being high worry about the coronavirus disease 2019 (COVID-19) epidemic, and about 41.44% of students reported being high fear about the COVID-19 epidemic. In addition, compared with female, male had lower odds of suffering from a high worry, and compared with senior high school students, junior high school students were more likely to suffer from a high worry. Students lived in rural had highest odds increased likelihood of high worry. Similar results in fear levels. During the normalization period of the COVID-19 epidemic, many students have high levels of worry and fear. This study has implications for potential influencers of worry and fear levels in follow-up work.

Published
2023
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20. Proportion, Correlates and the Associations of Meeting 24‐h Movement Guidelines With Mental Well‐Being and Psychological Distress: A Cross‐Sectional Study of 10 589 Chinese Students.

Author

Zhang, Hao, Sheng, Jing, Yue, Xinpei, Lou, Hao, Ban, Xiaolei, Wu, Wencan, Li, Ran, Gao, Genli, Wang, Chongjian, Lou, Xiaomin, and Wang, Xian

Subjects
CROSS-sectional method, PSYCHOLOGICAL distress, MENTAL health, HEALTH status indicators, RESEARCH funding, QUESTIONNAIRES, LOGISTIC regression analysis, SCREEN time, CHI-squared test, EXERCISE intensity, SLEEP duration, STUDENTS, HEALTH behavior, ARTIFICIAL neural networks, SOCIODEMOGRAPHIC factors, WELL-being, PHYSICAL activity
Abstract

Background: The increased trends in psychological distress and mental illness have been of great significance in public health concerns. The study aimed to investigate the proportion and correlates of meeting 24‐h movement guidelines (including moderate to vigorous physical activity, screen time and sleep duration) and the associations between 24‐h movement guidelines met and mental well‐being and psychological distress in a large sample of Chinese students. Methods: All participants received a physical examination and filled out questionnaires in this study. Chi‐square tests were used to analyse the proportion of reaching 24‐h guidelines by gender and logistic regression was used to analyse correlates of meeting 24‐h guidelines. Two binary logistic regression models were used to analyse the association between meeting 24‐h guidelines and mental well‐being and psychological distress. The back‐propagation artificial neural network was used to describe the importance of the independent variables. Results: The findings revealed a generally low rate of meeting the 24‐h movement guidelines, particularly concerning moderate to vigorous physical activity (16.5%). Meeting all three guidelines was related to better mental health in both boys and girls. Particularly, meeting screen time guideline and meeting sleep duration guideline appeared to be more important on mental outcomes, compared to meeting moderate to vigorous physical activity guideline. Compared with boys, girls were more susceptible to the influences of 24‐h movement guidelines on mental health. Conclusions: Meeting all three components of the 24‐h movement guidelines was associated with the most favourable mental health outcomes for both boys and girls. Thus, maintaining a daily balance of sufficient physical activity, limited screen time, and adequate sleep is crucial for enhancing the mental health status of students. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Additional file 2 of Multidimensional self-rating biological rhythm disorder and its association with depression and anxiety symptoms among adolescents aged 11–23 years: a school-based cross-sectional study from China

Author

Zeng, Xin, Chen, Yiyang, Zhang, Qian, Jin, Yexin, Song, Yalin, Xue, Kunyu, Lou, Hao, Li, Ran, Lou, Xiaomin, and Wang, Xian

Abstract

Additional file 2: Table S1. Sensitivity analysis. Table S2. The distribution of the score of the Self-Rating of Biological Rhythm Disorder for Adolescents (SBRDA). Table S3. Sample characteristics stratified by sleep rhythm disorder (N = 3693). Table S4. Sample characteristics stratified by activity rhythm disorder (N = 3693). Table S5. Sample characteristics stratified by eating habits rhythm disorder (N = 3693). Table S6. Sample characteristics stratified by digital media use (N = 3693). Table S7. Partial coefficients between self-rating biological rhythm disorders and Depression and anxiety symptoms. Table S8. Adjusted associations between self-rating biological rhythm disorders and depression symptoms. Table S9. Adjusted associations between self-rating biological rhythm disorders and anxiety symptoms.

Published
2022
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