Greater screen time is associated with adolescent obesity: a longitudinal study of the BMI distribution from Ages 14 to 18
Mitchell JA, Rodriguez D, Schmitz KH, Audrain-McGovern J
Obesity (Silver Spring, Md.) · 92 citations
How it was studied
- Design
- Cohort study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- Government
- National Institutes of Health
- Government
- National Cancer Institute
- Government
- NCI NIH HHS
- Grants
- National Cancer Institute (R01 CA126958); National Cancer Institute (F32 CA162847); National Cancer Institute (RO1 CA126958)
Based on 3 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2013-03-01 · Obesity (Silver Spring) · vol. 21 · issue 3 · pp. 572–575
- Publisher
- Wiley
- Cited
- 158 citations · more than 100% of similar papers · 51.4× the field average
- Impact
- Top 10% most cited in its field
- References
- 16 works
- Access
- Free to read
- Research areas
- Child Development and Digital Technology · Impact of Technology on Adolescents · Obesity, Physical Activity, Diet
- Keywords
- screen time, adolescent obesity, body mass index, BMI distribution, television viewing, video game use, adolescent overweight
- MeSH
- humans, obesity, body weight, body mass index, prevalence, longitudinal studies, motor activity, sleep, video games, television, adolescent, child, female, male, self report, sedentary behavior
4 authors
From US
- Jonathan A. Mitchell · correspondingUniversity of Pennsylvania
- Daniel RodriguezUniversity of Pennsylvania
- Kathryn H. SchmitzUniversity of Pennsylvania
- Janet E. Audrain-McGovernUniversity of Pennsylvania
Abstract
Objective
Previous research has examined the association between screen time and average changes in adolescent body mass index (BMI). Until now, no study has evaluated the longitudinal relationship between screen time and changes in the BMI distribution across mid to late adolescence.
Design and methods
Participants (n = 1,336) were adolescents who were followed from age 14 to age 18 and surveyed every 6 months. Time spent watching television/videos and playing video games was self-reported (<1 h day(-1) , 1 h day(-1) , 2 h day(-1) , 3 h day(-1) , 4 h day(-1) , or 5+ h day(-1) ). BMI (kg m(-2) ) was calculated from self-reported height and weight. Longitudinal quantile regression was used to model the 10th, 25th, 50th, 75th, and 90th BMI percentiles as dependent variables. Study wave and screen time were the main predictors, and adjustment was made for gender, race, maternal education, hours of sleep, and physical activity.
Results
Increases at all the BMI percentiles over time were observed, with the greatest increase observed at the 90th BMI percentile. Screen time was positively associated with changes in BMI at the 50th (0.17, 95% CI: 0.06, 0.27), 75th (0.31, 95% CI: 0.10, 0.52), and 90th BMI percentiles (0.56, 95% CI: 0.27, 0.82). No associations were observed between screen time and changes at the 10th and 25th BMI percentiles.
Conclusions
Positive associations between screen time and changes in the BMI at the upper tail of the BMI distribution were observed. Therefore, lowering screen time, especially among overweight and obese adolescents, could contribute to reducing the prevalence of adolescent obesity.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
Community trust
Loading…
How much do you trust this study's findings?
Comments
Sign in to rate, comment on or flag this study.Sign inSomething wrong here?
Flag this study if its information, labels or funding look wrong. An editor reviews every flag.
Sign in to rate, comment on or flag this study.Sign inEducational information about published research. Not medical advice, and not a recommendation to start or stop anything.