Relationships between Socio-Demographic Factors and 24-Hour Movement Behavior Guideline Compliance in Preschool Children

Presenter
Danielle Gabriella Cousins
Campus
UMass Amherst
Sponsor
Christine Woodward St Laurent, Department of Kinesiology, UMass Amherst
Schedule
Session 1, 10:30 AM - 11:15 AM [Schedule by Time][Poster Grid for Time/Location]
Location
Poster Board C25, Poster Showcase Room (163), Row 3 (C21-C30) [Poster Location Map]
Abstract

Compliance with the World Health Organization’s 24-hr guidelines for screen time, physical activity (PA), and sleep in children under 5 years is unclear. Additionally, understanding how social determinants influence behaviors in preschool children may lead to reduced health disparities. 

PURPOSE: To determine socio-demographic correlates of 24-hr movement behavior guideline compliance in US preschool children.   

METHODS: In 223 participants (50.8 ± 9.5 months, 46.6% female, 65.9% White, 25.1% Hispanic), PA and sleep were derived from accelerometers (9.6 ± 3.3 days, 9.7 ± 3.4 nights). Screen time, age, sex, race, ethnicity, socio-economic factors, and parenting styles were parent-reported.  

RESULTS: Demographic factors were not associated with meeting the full 24-hr guidelines. On weekends, older children were more likely to meet PA recommendations (OR = 1.08, p = 0.005), but less likely to meet sleep recommendations (OR = 0.96, p = 0.04). On weekdays, children identified as Black (OR = 0.11, p = 0.006) or two or more races (OR = 0.38, p = 0.047) had lower odds than White children of meeting screen time recommendations. On weekends, children with parents scoring high for over-reactivity had greater odds of meeting PA guidelines (OR = 13.8, p = 0.034). On weekdays, children of parents with higher ‘dysfunctional parenting practices’ were less likely to meet screen time recommendations (OR = .19, p = 0.016).   

CONCLUSION: Age, race, and parenting styles may contribute to movement behaviors in young children. Future analyses in children with greater behavior variability in socio-demographic measures may help to inform behavior promotion interventions.   

Keywords
physical activity, sleep, screen time
Research Area
Public Health and Epidemiology

SIMILAR ABSTRACTS (BY KEYWORD)

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