{"title":"学龄前儿童的家庭因素与体育活动集群之间的关系:一项横断面研究。","authors":"Ting Huang, Guanggao Zhao, Jinmei Fu, Shunli Sun, Wendi Lv, Zihao He, Delong Chen, Ruiming Chen","doi":"10.3389/fpubh.2024.1367934","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to examine the association between family factors and physical activity (PA) clustering in preschool children.</p><p><strong>Methods: </strong>Preschoolers' PA and sedentary behavior (SB) were assessed consecutively for 7 days using ActiGraph accelerometers based on the cutoff counts developed by Pate et al. Information about children, their parents, and their families was collected using questionnaires. We developed a two-step approach to clustering PA both inside and outside of kindergarten. The Euclidean distance metric was utilized to distinguish between groups, while the Schwarz-Bayesian criterion was applied to identify the most optimal sub-group model. A one-way ANOVA was used to assess the clustering effect, and logistic regression was used to analyze the influencing factors of different clustering.</p><p><strong>Results: </strong>We collected data from 291 preschool children aged 3 to 6 years and divided them into three clusters-Inactive (50.2%), Active in kindergarten (26.8%), and Active outside kindergarten (23.0%)-with significant differences in PA and SB, revealing distinct temporal and spatial clustering patterns (silhouette coefficient = 0.3, <i>p</i> < 0.05). Furthermore, preschooler activity levels correlated significantly with factors including gender (OR = 0.35, 95% CI: 0.19-0.66), age (OR = 1.05, 95% CI: 1.00-1.10), birth weight (OR = 1.79, 95% CI: 1.16-2.76), paternal age (OR = 1.01, 95% CI: 1.00-1.02), and maternal income (OR = 0.68, 95% CI: 0.48-0.96).</p><p><strong>Conclusion: </strong>This study shows that the family environment or parents significantly influence the PA of preschool children. Older fathers may promote preschool children's PA through greater educational focus and financial stability, while higher maternal income can provide more opportunities and resources for preschool children to engage in active lifestyles. Thus, it is suggested that families providing more attention and exercise opportunities for preschool children's education can help improve their PA levels in the future.</p>","PeriodicalId":12548,"journal":{"name":"Frontiers in Public Health","volume":"12 ","pages":"1367934"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560752/pdf/","citationCount":"0","resultStr":"{\"title\":\"Associations between family factors and physical activity clustering in preschool children: a cross-sectional study.\",\"authors\":\"Ting Huang, Guanggao Zhao, Jinmei Fu, Shunli Sun, Wendi Lv, Zihao He, Delong Chen, Ruiming Chen\",\"doi\":\"10.3389/fpubh.2024.1367934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study aimed to examine the association between family factors and physical activity (PA) clustering in preschool children.</p><p><strong>Methods: </strong>Preschoolers' PA and sedentary behavior (SB) were assessed consecutively for 7 days using ActiGraph accelerometers based on the cutoff counts developed by Pate et al. Information about children, their parents, and their families was collected using questionnaires. We developed a two-step approach to clustering PA both inside and outside of kindergarten. The Euclidean distance metric was utilized to distinguish between groups, while the Schwarz-Bayesian criterion was applied to identify the most optimal sub-group model. A one-way ANOVA was used to assess the clustering effect, and logistic regression was used to analyze the influencing factors of different clustering.</p><p><strong>Results: </strong>We collected data from 291 preschool children aged 3 to 6 years and divided them into three clusters-Inactive (50.2%), Active in kindergarten (26.8%), and Active outside kindergarten (23.0%)-with significant differences in PA and SB, revealing distinct temporal and spatial clustering patterns (silhouette coefficient = 0.3, <i>p</i> < 0.05). Furthermore, preschooler activity levels correlated significantly with factors including gender (OR = 0.35, 95% CI: 0.19-0.66), age (OR = 1.05, 95% CI: 1.00-1.10), birth weight (OR = 1.79, 95% CI: 1.16-2.76), paternal age (OR = 1.01, 95% CI: 1.00-1.02), and maternal income (OR = 0.68, 95% CI: 0.48-0.96).</p><p><strong>Conclusion: </strong>This study shows that the family environment or parents significantly influence the PA of preschool children. Older fathers may promote preschool children's PA through greater educational focus and financial stability, while higher maternal income can provide more opportunities and resources for preschool children to engage in active lifestyles. Thus, it is suggested that families providing more attention and exercise opportunities for preschool children's education can help improve their PA levels in the future.</p>\",\"PeriodicalId\":12548,\"journal\":{\"name\":\"Frontiers in Public Health\",\"volume\":\"12 \",\"pages\":\"1367934\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560752/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fpubh.2024.1367934\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fpubh.2024.1367934","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
目的本研究旨在探讨家庭因素与学龄前儿童身体活动(PA)集群之间的关系:使用 ActiGraph 加速计对学龄前儿童的体力活动和久坐行为(SB)进行连续 7 天的评估,评估以 Pate 等人开发的截止计数为基础。我们采用两步法对幼儿园内外的 PA 进行聚类。利用欧氏距离度量法来区分组别,同时采用施瓦茨-贝叶斯标准来确定最理想的分组模型。采用单因素方差分析评估聚类效应,采用逻辑回归分析不同聚类的影响因素:我们收集了 291 名 3 至 6 岁学龄前儿童的数据,并将他们分为三个聚类--不活跃(50.2%)、幼儿园内活跃(26.8%)和幼儿园外活跃(23.0%)--在 PA 和 SB 方面存在显著差异,显示出不同的时间和空间聚类模式(剪影系数 = 0.3,P 结论:本研究表明,家庭环境或父母对学龄前儿童的 PA 有重大影响。年长的父亲可能会通过更加注重教育和经济稳定来促进学龄前儿童的 PA,而较高的母亲收入则可为学龄前儿童提供更多机会和资源来参与积极的生活方式。因此,建议家庭为学龄前儿童的教育提供更多的关注和锻炼机会,有助于提高他们未来的 PA 水平。
Associations between family factors and physical activity clustering in preschool children: a cross-sectional study.
Objective: This study aimed to examine the association between family factors and physical activity (PA) clustering in preschool children.
Methods: Preschoolers' PA and sedentary behavior (SB) were assessed consecutively for 7 days using ActiGraph accelerometers based on the cutoff counts developed by Pate et al. Information about children, their parents, and their families was collected using questionnaires. We developed a two-step approach to clustering PA both inside and outside of kindergarten. The Euclidean distance metric was utilized to distinguish between groups, while the Schwarz-Bayesian criterion was applied to identify the most optimal sub-group model. A one-way ANOVA was used to assess the clustering effect, and logistic regression was used to analyze the influencing factors of different clustering.
Results: We collected data from 291 preschool children aged 3 to 6 years and divided them into three clusters-Inactive (50.2%), Active in kindergarten (26.8%), and Active outside kindergarten (23.0%)-with significant differences in PA and SB, revealing distinct temporal and spatial clustering patterns (silhouette coefficient = 0.3, p < 0.05). Furthermore, preschooler activity levels correlated significantly with factors including gender (OR = 0.35, 95% CI: 0.19-0.66), age (OR = 1.05, 95% CI: 1.00-1.10), birth weight (OR = 1.79, 95% CI: 1.16-2.76), paternal age (OR = 1.01, 95% CI: 1.00-1.02), and maternal income (OR = 0.68, 95% CI: 0.48-0.96).
Conclusion: This study shows that the family environment or parents significantly influence the PA of preschool children. Older fathers may promote preschool children's PA through greater educational focus and financial stability, while higher maternal income can provide more opportunities and resources for preschool children to engage in active lifestyles. Thus, it is suggested that families providing more attention and exercise opportunities for preschool children's education can help improve their PA levels in the future.
期刊介绍:
Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice.
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