Associations among physical activity, screen time, and sleep in low socioeconomic status urban girls.
Associations among physical activity, screen time, and sleep in low socioeconomic status urban girls.
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DOI：
10.1016/j.pmedr.2017.01.014
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发表时间：
2017-03-01
影响因子：
2.8
通讯作者：
Alhassan, Sofiya
中科院分区：
文献类型：
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作者：
Greever, Cory J;Ahmadi, Matthew;Alhassan, Sofiya
在社会经济地位较低的城市小学女孩中，睡眠不足与健康状况不佳的风险较高相关。体力活动(PA)减少和屏幕时间增加可能与睡眠不佳有关。这项研究调查了来自低SES城市社区的女孩的PA和屏幕时间是否与睡眠有关。研究使用了2012至2015年间在马萨诸塞州斯普林菲尔德进行的两次干预的7至12岁女孩(n=55)的基线数据。通过加速度计连续7天测量Pa值。屏幕时间和睡眠通过有效问卷进行评估。对24名女孩(n=24)进行7天的睡眠加速计测试。使用多元线性回归分析PA、屏幕时间和睡眠之间的关系。每天屏幕时间越长(p=0.01，r2=0.35，调整后的r2=0.23)，睡眠质量越差(beta=0.50，p=0.02)。加速度计评定的PA与每晚觉醒次数呈负相关(r=-0.45，p=0.04)，与睡眠碎片数呈负相关(r=-0.65，p=0.002)。在这一人群中，屏幕时间的增加与较差的睡眠质量有关，PA的减少与每晚更多的觉醒和更高的睡眠碎片相关。这些发现表明，屏幕时间和PA可能是寻求改善这一人群睡眠的干预措施的可改变的风险因素。
Insufficient sleep is associated with higher risk of poor health outcomes in low socioeconomic status (SES) urban elementary age girls. Decreased physical activity (PA) and increased screen time may be associated with poor sleep. This study examined if PA and screen time are associated with sleep in girls from a low SES urban community. Baseline data from 7 to 12year-old girls (n=55) from two interventions conducted in Springfield, MA between 2012 and 2015 were used. PA was measured via accelerometry for seven days. Screen time and sleep were assessed via validated questionnaires. Sleep was also assessed via accelerometry in a subsample of girls (n=24) for 7days. Associations among PA, screen time, and sleep were analyzed using multiple linear regression. More minutes of screen time per day (p=0.01, r2=0.35, r2 adjusted=0.23) was associated with worse sleep quality (beta=0.50, p=0.02). There were negative correlations between PA and the number of awakenings per night (r=-0.45, p=0.04) and between counts per minute and sleep fragmentation (r=-0.65, p=0.002) assessed by accelerometer. In this population, increased screen time was associated with worse sleep quality and decreased PA was correlated with more awakenings per night and higher sleep fragmentation. These findings suggest that screen time and PA may be modifiable risk factors for interventions seeking to improve sleep in this population.