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.
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...
| Publicado en: | Child: Care, Health & Development Vol. 50; no. 5; pp. 1 - 17 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179773636&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179773636 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03051862 6NX jtl: Child: Care, Health & Development issn: 03051862 maglogo: Y pubinfo: dt: Sep2024 vid: 50 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 179773636 179773636 179773636 10.1111/cch.13329 179773636 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: 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. aug: au: Zhang, Hao Sheng, Jing Yue, Xinpei Lou, Hao Ban, Xiaolei Wu, Wencan Li, Ran Gao, Genli Wang, Chongjian Lou, Xiaomin Wang, Xian affil: College of Public Health, Zhengzhou University, Zhengzhou Henan,, China sug: subj: Psychological Well-Being Psychological Distress Health Behavior Physical Activity Screen Time Sleep Duration Students Psychosocial Factors Human Cross Sectional Studies Chinese Persons Questionnaires Chi Square Test Logistic Regression Neural Networks (Computer) Exercise Intensity Male Female Mental Health Health Status China Sociodemographic Factors Funding Source Male Female ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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