![]() ![]() ![]() Therefore lowering screen time, especially among overweight and obese adolescents, could contribute to reducing the prevalence of adolescent obesity. We observed positive associations between screen time and changes in the BMI at the upper tail of the BMI distribution. No associations were observed between screen time and changes at the 10 th and 25 th BMI percentiles. We observed increases at all the BMI percentiles over time, with the greatest increase at the 90 th BMI percentile. Study wave and screen time were the main predictors, and adjustment was made for gender, race, maternal education, hours of sleep and physical activity. Longitudinal quantile regression was used to model the 10 th, 25 th, 50 th, 75 th and 90 th BMI percentiles as dependent variables. BMI (kg/m 2) was calculated from self-reported height and weight. Time spent watching television/videos and playing video games was self-reported (<1hr/d, 1hr/d, 2hrs/d, 3hrs/d, 4hrs/d, or 5+hrs/d). Participants (n=1,336) were adolescents who were followed from age 14 to age 18 and surveyed every six months. Until now, no study has evaluated the longitudinal relationship between screen time and changes in the BMI distribution across mid to late adolescence. Previous research has examined the association between screen time and average changes in adolescent body mass index (BMI). ![]()
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