Associations between family factors and physical activity clustering in preschool children: a cross-sectional study
Year: 2024
Type: article
Study design: Observational Study
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: < 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.
Source: Frontiers in Public Health
Authors: Ting Huang, Guanggao Zhao, Jinmei Fu, Shunli Sun, Wendi Lv, Zihao He, Delong Chen, Ruiming Chen
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,295
Award: G8517212673
OpenAlex ID: W4403961379
