Greater screen time is associated with adolescent obesity: a longitudinal study of the BMI distribution from Ages 14 to 18.
Greater screen time is associated with adolescent obesity: a longitudinal study of the BMI distribution from Ages 14 to 18.
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DOI：
10.1002/oby.20157
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发表时间：
2013-03
期刊：
影响因子：
6.9
通讯作者：
Audrain-McGovern, Janet
中科院分区：
文献类型：
--
作者：
Mitchell, Jonathan A.;Rodriguez, Daniel;Schmitz, Kathryn H.;Audrain-McGovern, Janet
之前的研究已经研究了屏幕时间与青少年体重指数（BMI）平均变化之间的关系。到目前为止，还没有研究评估屏幕时间与青春期中后期BMI分布变化之间的纵向关系。参与者（n= 1，336）是从14岁到18岁的青少年，每六个月进行一次调查。自我报告观看电视/视频和玩视频游戏的时间（<1小时/天、1小时/天、2小时/天、3小时/天、4小时/天或5+小时/天）。BMI（kg/m2）根据自我报告的身高和体重计算。采用纵向分位数回归对第10、25、50、75和90位BMI指数作为因变量进行建模。研究波和屏幕时间是主要的预测因素，并对性别，种族，母亲教育，睡眠时间和体力活动进行了调整。我们观察到随着时间的推移，所有BMI指数都有所增加，其中BMI第90百分位数的增加最大。筛查时间与第50（0.17，95% CI：0.06，0.27）、第75（0.31，95% CI：0.10，0.52）和第90（0.56，95% CI：0.27，0.82）BMI指数变化呈正相关。筛查时间与第10和第25个BMI指数的变化之间没有观察到相关性。我们观察到筛查时间与BMI分布上尾的BMI变化之间存在正相关。因此，减少屏幕时间，特别是超重和肥胖青少年，可能有助于降低青少年肥胖的患病率。
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. Participants (n=1,336) were adolescents who were followed from age 14 to age 18 and surveyed every six months. 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). BMI (kg/m2) 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. We observed increases at all the BMI percentiles over time, with the greatest increase 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. We observed positive associations between screen time and changes in the BMI at the upper tail of the BMI distribution. Therefore lowering screen time, especially among overweight and obese adolescents, could contribute to reducing the prevalence of adolescent obesity.
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