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Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study

BACKGROUND: This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health. METHODS: A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified clust...

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Autores principales: Xu, Xingyan, Zheng, Fuhao, Cai, Yingying, Lin, Jie, Zeng, Zhaonan, Wei, Shichao, Wu, Siying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386349/
https://www.ncbi.nlm.nih.gov/pubmed/35991023
http://dx.doi.org/10.3389/fpubh.2022.924741
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author Xu, Xingyan
Zheng, Fuhao
Cai, Yingying
Lin, Jie
Zeng, Zhaonan
Wei, Shichao
Wu, Siying
author_facet Xu, Xingyan
Zheng, Fuhao
Cai, Yingying
Lin, Jie
Zeng, Zhaonan
Wei, Shichao
Wu, Siying
author_sort Xu, Xingyan
collection PubMed
description BACKGROUND: This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health. METHODS: A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May to June 2019, in 18 primary schools and 18 middle schools from nine districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill out a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, sleep-related lifestyle behaviors, and electronic-products usage). Multiple linear regression was carried out to analyze data. RESULTS: Of the total 40,888 questionnaires we released, 38,467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85 ± 3.1, including 20,013 boys and 18,454 girls. The multiple linear regression analysis identified factors associated with sleep health (p < 0.05): Boy (coef = 0.073, 95% CI: 0.030–0.115), age (coef = 1.797, 95% CI: 0.224–0.243), key school (coef = 2.069, 95% CI: 0.105–0.193), urban (coef = 0.096, 95% CI: 0.054–0.139), excessive daytime sleepiness (coef = 0.535, 95% CI: 0.432–0.639), unhealthy sleep habits (coef = 0.363, 95% CI: 0.307–0.419), eating before sleep (coef = 0.578, 95% CI: 0.527–0.630), using electronic products in bedroom (coef = 0.074, 95% CI: 0.028–0.121), screen time per day during school (coef = 0.260, 95% CI: 0.235–0.284), frequency of using electronics 30 min before bedtime (coef = 0.150, 95% CI: 0.134–0.166), strained relationship with parents (coef = 0.361, 95% CI: 0.270–0.452), strained relationship with peers (coef = 0.267, 95% CI: 0.171–0.363), excessive homework or learning (coef = 0.189, 95% CI: 0.141–0.237), time for doing homework (coef = 0.266, 95% CI: 0.245–0.287), and mood swings frequently (coef = 1.174, 95% CI: 1.127–1.221) negatively impact sleep health. Sleep alone (coef = −0.204, 95% CI: −0.262–0.147) were the risk factors for sleep health. Furthermore, frequent mood swings was considered the most influential factor on overall variables. CONCLUSIONS: Sleep health is associated with factors covered sociodemographic characteristics, family sleep habits, and routine activities before bedtime. Multiple measures should be taken to improve sleep quality in a targeted manner.
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spelling pubmed-93863492022-08-19 Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study Xu, Xingyan Zheng, Fuhao Cai, Yingying Lin, Jie Zeng, Zhaonan Wei, Shichao Wu, Siying Front Public Health Public Health BACKGROUND: This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health. METHODS: A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May to June 2019, in 18 primary schools and 18 middle schools from nine districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill out a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, sleep-related lifestyle behaviors, and electronic-products usage). Multiple linear regression was carried out to analyze data. RESULTS: Of the total 40,888 questionnaires we released, 38,467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85 ± 3.1, including 20,013 boys and 18,454 girls. The multiple linear regression analysis identified factors associated with sleep health (p < 0.05): Boy (coef = 0.073, 95% CI: 0.030–0.115), age (coef = 1.797, 95% CI: 0.224–0.243), key school (coef = 2.069, 95% CI: 0.105–0.193), urban (coef = 0.096, 95% CI: 0.054–0.139), excessive daytime sleepiness (coef = 0.535, 95% CI: 0.432–0.639), unhealthy sleep habits (coef = 0.363, 95% CI: 0.307–0.419), eating before sleep (coef = 0.578, 95% CI: 0.527–0.630), using electronic products in bedroom (coef = 0.074, 95% CI: 0.028–0.121), screen time per day during school (coef = 0.260, 95% CI: 0.235–0.284), frequency of using electronics 30 min before bedtime (coef = 0.150, 95% CI: 0.134–0.166), strained relationship with parents (coef = 0.361, 95% CI: 0.270–0.452), strained relationship with peers (coef = 0.267, 95% CI: 0.171–0.363), excessive homework or learning (coef = 0.189, 95% CI: 0.141–0.237), time for doing homework (coef = 0.266, 95% CI: 0.245–0.287), and mood swings frequently (coef = 1.174, 95% CI: 1.127–1.221) negatively impact sleep health. Sleep alone (coef = −0.204, 95% CI: −0.262–0.147) were the risk factors for sleep health. Furthermore, frequent mood swings was considered the most influential factor on overall variables. CONCLUSIONS: Sleep health is associated with factors covered sociodemographic characteristics, family sleep habits, and routine activities before bedtime. Multiple measures should be taken to improve sleep quality in a targeted manner. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9386349/ /pubmed/35991023 http://dx.doi.org/10.3389/fpubh.2022.924741 Text en Copyright © 2022 Xu, Zheng, Cai, Lin, Zeng, Wei and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Xu, Xingyan
Zheng, Fuhao
Cai, Yingying
Lin, Jie
Zeng, Zhaonan
Wei, Shichao
Wu, Siying
Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title_full Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title_fullStr Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title_full_unstemmed Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title_short Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study
title_sort sleep health and its related influencing factors in primary and middle school students in fuzhou: a large multi-center cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386349/
https://www.ncbi.nlm.nih.gov/pubmed/35991023
http://dx.doi.org/10.3389/fpubh.2022.924741
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