Cradock Angie L, Melly Steven J, Allen Joseph G, Morris Jeffrey S, Gortmaker Steven L
Department of Society, Human Development and Health, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Am J Prev Med. 2007 Aug;33(2):106-113. doi: 10.1016/j.amepre.2007.04.009.
Previous research suggests that school characteristics may influence physical activity. However, few studies have examined associations between school building and campus characteristics and objective measures of physical activity among middle school students.
Students from ten middle schools (n=248, 42% female, mean age 13.7 years) wore TriTrac-R3D accelerometers in 1997 recording measures of minute-by-minute physical movements during the school day that were then averaged over 15-minute intervals (n=16,619) and log-transformed. School characteristics, including school campus area, play area, and building area (per student) were assessed retrospectively in 2004-2005 using land-use parcel data, site visits, ortho-photos, architectural plans, and site maps. In 2006, linear mixed models using SAS PROC MIXED were fit to examine associations between school environmental variables and physical activity, controlling for potentially confounding variables.
Area per enrolled student ranged from 8.8 to 143.7 m2 for school campuses, from 12.1 to 24.7 m2 for buildings, and from 0.4 to 58.9 m2 for play areas. Play area comprised from 3% to 62% of total campus area across schools. In separate regression models, school campus area per student (beta=0.2244, p<0.0001); building area per student (beta=2.1302, p<0.02); and play area per student (beta=0.347, p<0.0001) were each directly associated with log-TriTrac-R3D vector magnitude. Given the range of area density measures in this sample of schools, this translates into an approximate 20% to 30% increase in average vector magnitude, or walking 2 extra miles over the course of a week.
Larger school campuses, school buildings, and play areas (per enrolled student) are associated with higher levels of physical activity in middle school students.
先前的研究表明,学校特征可能会影响身体活动。然而,很少有研究探讨学校建筑与校园特征和中学生身体活动客观测量指标之间的关联。
来自10所中学的学生(n = 248,42%为女生,平均年龄13.7岁)在1997年佩戴TriTrac - R3D加速度计,记录在校期间每分钟的身体运动测量值,然后以15分钟为间隔进行平均(n = 16,619)并进行对数转换。2004 - 2005年,利用土地利用地块数据、实地考察、正射影像、建筑平面图和地物图对学校特征进行回顾性评估,包括校园面积、游乐区面积和建筑面积(人均)。2006年,使用SAS PROC MIXED的线性混合模型来检验学校环境变量与身体活动之间的关联,同时控制潜在的混杂变量。
各学校人均校园面积从8.8平方米到143.7平方米不等,人均建筑面积从12.1平方米到24.7平方米不等,人均游乐区面积从0.4平方米到58.9平方米不等。游乐区占学校总校园面积的3%至62%。在单独的回归模型中,人均校园面积(β = 0.2244,p < 0.0001);人均建筑面积(β = 2.1302,p < 0.02);人均游乐区面积(β = 0.347,p < 0.0001)均与TriTrac - R3D向量大小的对数直接相关。鉴于该学校样本中面积密度测量值的范围,这意味着平均向量大小大约增加20%至30%,即在一周内多走2英里。
更大的校园、学校建筑和游乐区(人均)与中学生更高水平的身体活动相关。