Tamura Kosuke, Duncan Dustin T, Athens Jessica, Scott Marc, Rienti Michael, Aldstadt Jared, Brotman Laurie M, Elbel Brian
Department of Population Health, School of Medicine, New York University, New York, NY.
College of Global Public Health, New York University, New York, NY.
GeoJournal. 2018 Aug;83(4):775-782. doi: 10.1007/s10708-017-9801-z. Epub 2017 Jul 27.
Sedentary behavior and lack of physical activity are key modifiable behavioral risk factors for chronic health problems, such as obesity and diabetes. Little is known about how sedentary behavior and physical activity among adolescents spatially cluster. The objective was to detect spatial clustering of sedentary behavior and physical activity among Boston adolescents. Data were used from the 2008 Boston Youth Survey Geospatial Dataset, a sample of public high school students who responded to a sedentary behavior and physical activity questionnaire. Four binary variables were created: 1) TV watching (>2 hours/day), 2) video games (>2 hours/day), 3) total screen time (>2 hours/day); and 4) 20 minutes/day of physical activity (≥5 days/week). A spatial scan statistic was utilized to detect clustering of sedentary behavior and physical activity. One statistically significant cluster of TV watching emerged among Boston adolescents in the unadjusted model. Students inside the cluster were more than twice as likely to report > 2 hours/day of TV watching compared to respondents outside the cluster. No significant clusters of sedentary behavior and physical activity emerged. Findings suggest that TV watching is spatially clustered among Boston adolescents. Such findings may serve to inform public health policymakers by identifying specific locations in Boston that could provide opportunities for policy intervention. Future research should examine what is linked to the clusters, such as neighborhood environments and network effects.
久坐行为和缺乏体育活动是肥胖和糖尿病等慢性健康问题的关键可改变行为风险因素。对于青少年的久坐行为和体育活动如何在空间上聚集,人们知之甚少。目的是检测波士顿青少年中久坐行为和体育活动的空间聚集情况。数据来自2008年波士顿青年调查地理空间数据集,该数据集是对一份久坐行为和体育活动问卷做出回应的公立高中生样本。创建了四个二元变量:1)看电视(>2小时/天),2)玩电子游戏(>2小时/天),3)总屏幕时间(>2小时/天);以及4)每天进行20分钟体育活动(≥5天/周)。利用空间扫描统计量来检测久坐行为和体育活动的聚集情况。在未调整模型中,波士顿青少年中出现了一个看电视的统计学显著聚集区。与聚集区外的受访者相比,聚集区内的学生报告每天看电视超过2小时的可能性是其两倍多。久坐行为和体育活动未出现显著聚集区。研究结果表明,波士顿青少年中看电视存在空间聚集现象。这些发现可通过确定波士顿的特定地点,为公共卫生政策制定者提供信息,这些地点可为政策干预提供机会。未来的研究应考察与这些聚集区相关的因素,如邻里环境和网络效应。