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Published on: March 7, 2019
Early Life Physical Activity Patterns and Its Survival to Adult Activity Levels: The Longitudinal ABIS Study
Noman Sohail1, Johnny Ludvigsson2,3
1Division of Pediatrics, Department of Biomedical and Clinical Science, Linköping University, 58252, Linköping, Sweden.
Insights
Early life physical activity is influenced by factors like family structure, parental education, and lifestyle habits. These early patterns in children
Area of Science:
- Pediatric Health
- Behavioral Science
- Public Health
Background:
- Early-life physical activity significantly impacts long-term health outcomes.
- Understanding factors influencing activity behavior continuity is crucial for public health interventions.
Purpose of the Study:
- To identify factors contributing to the persistence or change in physical activity behaviors from early childhood through adolescence.
Main Methods:
- A longitudinal prospective population-based birth cohort study (ABIS) included 16,415 participants.
- Logistic regression analysis was used to assess associations between physical activity scores and various independent variables.
Main Results:
- High physical activity at age 3 correlated with living in a house, having both parents, siblings, a dog, high parental education, and parents working part-time.
- These positive correlations persisted through adolescence.
- Lower physical activity correlated with less parental education, parents working full-time, no siblings, split custody, and maternal smoking, with similar persistence patterns.
- Participation in sports showed a strong correlation with high physical activity from age 8.
Conclusions:
- Key factors influencing children and adolescents' physical activity have been identified.
- These findings offer insights for developing targeted interventions to promote sustained physical activity.
Background And Aims:
The impact of physical activity during early-life is significant on long-term health outcomes. The aim of this study was to determine what factors contribute to the continuity or change in activity behaviors over time.
Methods:
Out of 21,700 children born on Oct 1st, 1997 to Oct 1st, 1999, 17,055 (78.6%) were included in ABIS (All Babies in southeast Sweden) of whom 16,415 participants were included in this longitudinal prospective population-based birth cohort. Logistic regression was conducted to assess associations between the activity score and independent variables, with results presented as odds ratios, 95% confidence intervals, p values, and correlation coefficients (r values).
Results:
At age 3, high physical activity (Q2) was correlated to: living in a house (r = 0.881, p = 0.003) with both parents (r = 0.833, p < 0.001), ≥1 siblings (r = 0.876, p < 0.001), having a dog (r = 0.773, p < 0.001), high parental education (r = 0.817, p < 0.001) and parents working part time (0-50%) (r = 0.496, p < 0.001). These factors were persistent at age 5, 8, 10-12 years. Participation in sports had strong correlation with Q2 from age 8- to 17-23-years (r = 0.763, p < 0.001). Less physical activity (Q1) was correlated to: at age 3 parental less education (r = 0.816, p < 0.001) with full time work (r = 0.816, p < 0.001), no siblings (r = 0.835, p = 0.004), child lives in split custody (r = 0.736, p < 0.001), and mother smoking (r = 0.789, p = 0.032). These patterns seemed persistent at age 5, 8, 10-12 years with Q1. Lower parental smoking was associated to higher physical activity in children.
Conclusion:
The study identifies key factors affecting children and adolescents' physical activity, providing insights for targeted interventions.
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