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Prevalence and risk factors of gross motor delay in pre-schoolers
Sanne Lc Veldman1, Rachel A Jones1, Paul Chandler1
1Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia.
Insights
Gross motor delay affects 4.4% of preschoolers in low-income communities. Boys, underweight, overweight, and unemployed parents increase risk, while higher family income is protective.
Area of Science:
- Child Development
- Pediatric Health
- Motor Skill Acquisition
Background:
- Gross motor skills are crucial for children's overall health and development.
- Early identification of gross motor delay is essential for timely intervention and positive developmental outcomes.
- Children in low-income communities may face unique challenges impacting motor skill development.
Purpose of the Study:
- To screen for gross motor delay in preschoolers from low-income Australian communities.
- To identify potential risk factors associated with gross motor delay in this population.
Main Methods:
- A cross-sectional study of 701 preschoolers (mean age 54.1 months) from low-income and remote Australian childcare services.
- Gross motor delay was assessed using the Ages and Stages Questionnaire - third edition.
- Risk factors analyzed included sex, weight status, parental employment, and family income.
Main Results:
- 4.4% of children exhibited gross motor delay, with 8.8% at risk.
- Being a boy, underweight, or overweight were associated with increased odds of delay.
- Parental unemployment correlated with higher odds of delay, while higher family income was linked to lower odds.
Conclusions:
- Children in low-income settings, particularly boys and those with non-typical weight status, are at higher risk for gross motor delay.
- Early screening and targeted interventions are vital for preschoolers in these communities to address motor skill deficits.
Aim:
Gross motor skills are important for children's health and development. Delays in these skills are a concern for healthy developmental trajectories and therefore early identification of delay is important. This study screened for gross motor delay in children from low-income communities and investigated potential risk factors associated with gross motor delay.
Methods:
This cross-sectional study involved 701 pre-schoolers (Mage = 54.1 ± 8.6 months, 52.8% boys) from childcare services in low-income and remote communities in Australia. Gross motor delay was assessed using the Ages and Stages Questionnaire - third edition. Potential risk factors included: sex, age, birthweight, prematurity status, weight status, childcare service, postcode, parent's education, parent's marital status, parent's employment and family income.
Results:
Results showed 4.4% of the children were delayed in gross motor skills and 8.8% were at risk of delay. Logistic regression showed being a boy (odds ratio (OR) 1.78, 95% confidence interval (CI) 1.12-2.84), underweight (OR 2.72, 95% CI 1.18-6.30) or overweight (OR 1.83, 95% CI 1.00-3.33), and parental unemployment (OR 1.79, 95% CI 1.01-3.16) were factors associated with a higher odds of children being delayed or at risk of gross motor delay. A higher family income (OR 0.35, 95% CI 0.13-0.93) was associated with lower odds of delay.
Conclusion:
This unique study demonstrated children in low-income communities, especially boys, underweight and overweight children, have higher odds of being at risk of gross motor delay. Therefore, early screening is vital in this population in order to identify delays and potentially intervene with appropriate motor skill interventions.
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