Associations between Parental Educational Attainment, Children's 24-h Behaviors and Children's Hyperactivity Behavior in the COVID-19 Pandemic

被引:2
作者
Chen, Meiyuan [1 ,2 ]
Chia, Michael [1 ,2 ]
Chua, Terence [2 ]
Shen, Zhi [3 ]
Kang, Mengke [1 ]
Chen, Lu [4 ]
Tong, Tiantian [5 ]
Wang, Xiaozan [1 ]
机构
[1] East China Normal Univ, Coll Phys Educ & Hlth, Shanghai 200241, Peoples R China
[2] Nanyang Technol Univ, Natl Inst Educ, Phys Educ & Sports Sci Acad Grp, Singapore 637616, Singapore
[3] Shanghai Jiao Tong Univ, Dept Astron, Shanghai 200240, Peoples R China
[4] Shandong Univ, Sch Phys Educ, Jinan 250061, Peoples R China
[5] China Univ Min & Technol, Coll Sports, Xuzhou 221000, Peoples R China
关键词
Children's 24-h behaviors; Children's hyperactivity behavior; Parental educational attainment; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; DIGITAL MEDIA USE; SLEEP DURATION; SCREEN TIME; HEALTH; CHILDHOOD; SYMPTOMS; ADOLESCENTS;
D O I
10.3390/healthcare12050516
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Parental Educational Attainment and children's 24-h behaviors significantly influenced children's hyperactivity symptoms. This study aimed to examine the mediating role of children's 24-h behavior changes due to the COVID-19 pandemic between Parental Educational Attainment and children's hyperactivity index. It also aimed to investigate the associations between Children's Physical Activity, digital media use, sleep, and hyperactivity index between two clusters of Parental Educational Attainments. The goal was to provide targeted behavioral optimization recommendations for caregivers to reduce the risk of children's hyperactivity. Methods: The study was a collaborative extension of the International iPreschooler Surveillance Study Among Asians and otheRs project and the Chinese Children and Adolescent Sports Health Promotion Action Project. The Parent-Surveillance of Digital Media in Childhood Questionnaire (R) and the Abbreviated Rating Scales from the Conners Parent Symptom Questionnaire were used to measure Parental Educational Attainment, children's behavior changes during the COVID-19 pandemic, and hyperactivity indexes. A total of 11,190 parents of 6-to-12-year-old children completed the online surveys in mainland China. A structural equation model was established by using Smart-PLS, and the linear regression model, and isotemporal substitution models were established by using a Compositional Data Analysis package with R program to achieve the research objectives. Results: Changes in children's 24-h behaviors due to the COVID-19 pandemic had a significant mediation effect on the negative associations between Parental Educational Attainment and children's hyperactivity index (beta = 0.018, T = 4.521, p < 0.001) with a total effect (beta = -0.046, T = 4.521, p < 0.001) and a direct effect (beta = -0.064, T = 6.330, p < 0.001). Children's Digital Media use was significantly and negatively associated with hyperactivity index among all children. Reallocated time from digital media use to both sleep and physical activity decreased the hyperactivity index, and vice-versa. For parents without tertiary education (R-2 = 0.09, p < 0.001), sleep was significantly and negatively associated with the hyperactivity index (beta ilr-CSL = -0.06, p < 0.001); for parents with tertiary education (R-2 = 0.07, p < 0.001), physical activity was significantly and negatively associated with the hyperactivity index (beta(ilr-CPA) = -0.05, p < 0.001), and sleep was significantly and positively associated with the hyperactivity index (beta(ilr-CSL) = 0.03, p < 0.001). A significant increase in the hyperactivity index was detected when physical activity time was reallocated to sleep, with a significant decrease in the opposite direction. Conclusions: Parental Educational Attainment and children's 24-h behaviors directly influenced children's hyperactivity index. However, a purposeful and targeted optimization of children's 24-h behaviors-namely, physical activity, digital media use, and sleep-could assist parents with different educational attainments to reduce their children's hyperactivity index and mitigate the risk of hyperactivity.
引用
收藏
页数:19
相关论文
共 83 条
[1]  
AITCHISON J, 1982, J ROY STAT SOC B, V44, P139
[2]  
[Anonymous], 2019, European Journal of Public Health, V29, P115, DOI DOI 10.1093/EURPUB/CKZ186.115
[3]  
Assari Shervin, 2019, J Family Reprod Health, V13, P7, DOI [10.18502/jfrh.v13i1.1607, 10.18502/jfrh.v13i1.1607]
[4]  
Bronfenbrenner U., 1979, The ecology of human development: Experiments by nature and design, DOI [10.4159/9780674028845, DOI 10.4159/9780674028845]
[5]   Parental Education and Aggressive Behavior in Children: A Moderated-Mediation Model for Inhibitory Control and Gender [J].
Cabello, Rosario ;
Gutierrez-Cobo, Maria J. ;
Fernandez-Berrocal, Pablo .
FRONTIERS IN PSYCHOLOGY, 2017, 8
[6]   Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses [J].
Carson, Valerie ;
Tremblay, Mark S. ;
Chaput, Jean-Philippe ;
Chastin, Sebastien F. M. .
APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 2016, 41 (06) :S294-S302
[7]  
CDC, CDC BENEFITS PHYS AC
[8]  
cdc, CDC What is ADHD?
[9]   Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach [J].
Chastin, Sebastien F. M. ;
Palarea-Albaladejo, Javier ;
Dontje, Manon L. ;
Skelton, Dawn A. .
PLOS ONE, 2015, 10 (10)
[10]   The Associations between 24-Hour Movement Behaviours and Quality of Life in Preschoolers: A Compositional Analysis of Cross-Sectional Data from 2018-2021 [J].
Chen, Meiyuan ;
Chua, Terence ;
Shen, Zhi ;
Tay, Lee Yong ;
Wang, Xiaozan ;
Chia, Michael .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (22)