Evidence map›Paper›PMID 39544435›Full record

ArticleFrontiers in public health2024

Associations between family factors and physical activity clustering in preschool children: a cross-sectional study.

Ting Huang, Guanggao Zhao, Jinmei Fu, Shunli Sun, Wendi Lv, Zihao He, Delong Chen, Ruiming Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ting HuangSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Guanggao ZhaoSchool of Physical Education, Nanchang University, Nanchang, China.
Jinmei FuJiangxi Sports Science and Medicine Center, Nanchang, China.
Shunli SunJiangxi Sports Science and Medicine Center, Nanchang, China.
Wendi LvCollege of Physical and Health, Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Zihao HeSchool of Kinesiology, Beijing Sport University, Beijing, China.
Delong ChenSchool of Physical Education, Nanchang University, Nanchang, China.
Ruiming ChenSchool of Physical Education, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, 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.

Indexed as

ExerciseSedentary BehaviorAccelerometryChildChild, PreschoolCluster AnalysisCross-Sectional StudiesFamilyFemaleHumansMaleParentsSurveys and Questionnairesclusteringfamily factorsparentsphysical activitypreschool childrensedentary behavior

Identifiers

PMID39544435
PMCPMC11560752

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.