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Active Screen Time Among U.S. Youth Aged 9–18 Years, 2009
- Source :
- Games for Health Journal. 2:362-368
- Publication Year :
- 2013
- Publisher :
- Mary Ann Liebert Inc, 2013.
-
Abstract
- This study documented the prevalence of active screen time (i.e., screen time that includes active games, exercise or dance videos, or TV exercise programs) and identified characteristics associated with it among youth 9-18 years of age.This cross-sectional study was conducted on a convenience sample of 1,165 youth using the 2009 Styles Surveys; data were weighted to approximate the Current Population Survey. We calculated descriptive statistics and conducted multivariable logistic regression to identify characteristics associated with active screen time by estimating adjusted odds ratio (aOR) and 95 percent confidence intervals (CIs).The sample comprised 51.4 percent boys, and almost 60 percent were non-Hispanic white. The prevalence of active screen time ≥1 hour/day was 31.2 percent on a typical school day and 41.6 percent on a typical weekend day. Logistic regression revealed youth with physical activity of 3-5 days/week had higher odds of active screen time ≥1 hour/day compared with youth with no physical activity (aOR school day=2.8, 95 percent CI 1.5-5.2; aOR weekend day=2.3, 95 percent CI 1.4-3.9). Certain characteristics (i.e., sex, age group, race/ethnicity, income, and sedentary screen time) were significantly associated with active screen time ≥1 hour/day, but associations were inconsistent for school and weekend days.Three in 10 youth are engaging in at least 1 hour of active screen time on school days, and about 4 in 10 youth are engaging in at least one hour on weekend days. Understanding the use of active screen time and associated characteristics are important for developing interventions addressing screen time and physical activity.
- Subjects :
- Health (social science)
Descriptive statistics
Cross-sectional study
business.industry
Rehabilitation
Public Health, Environmental and Occupational Health
Convenience sample
Odds ratio
Logistic regression
Article
Confidence interval
Computer Science Applications
Odds
Screen time
Medicine
business
Simulation
Demography
Subjects
Details
- ISSN :
- 21617856 and 2161783X
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Games for Health Journal
- Accession number :
- edsair.doi.dedup.....4f8ecb807dc2174faf452879896a35d8
- Full Text :
- https://doi.org/10.1089/g4h.2013.0055