Borner Kelsey B, Mitchell Tarrah B, Carlson Jordan A, Kerr Jacqueline, Saelens Brian E, Schipperijn Jasper, Frank Lawrence D, Conway Terry L, Glanz Karen, Chapman Jim E, Cain Kelli L, Sallis James F
Children's National Medical Center, Washington, DC.
University of Kansas, Lawrence, Kansas, USA.
J Transp Health. 2018 Sep;10:304-314. doi: 10.1016/j.jth.2018.05.010. Epub 2018 Jun 8.
To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership.
Adolescents (N=528; mean age=14.12±1.44; 50% girls) wore accelerometers and Global Positioning Systems (GPS) trackers for 3.9±1.5 days to assess MVPA minutes in five locations: at home, at school, in home neighborhood, in school neighborhood, and other. Walking to school and participant characteristics were assessed by questionnaire, and neighborhood environment by Geographic Information Systems (GIS). Latent profile analysis (LPA) was used to identify profiles/groups of participants based on accumulation of physical activity across the five locations. Mixed-effects regression tested differences in overall MVPA, walking to school, and other characteristics across profiles.
Four initial profiles emerged: one Insufficiently Active profile and three "Active" profiles (Active Around School, Active Home Neighborhood, and Active Other Locations). The Insufficiently Active profile emerging from the first LPA (90% of participants) was further separated into four profiles in a second LPA: Insufficiently Active, and three additional "Active" profiles (Moderately-Active Around School, Moderately-Active Home Neighborhood, and Active At Home). Those in the six Active profiles had more overall MVPA (41.1-92.7 minutes/day) than those in the two Insufficiently Active profiles (34.5-38.3 minutes/day). Variables that differed across profiles included walking to school, sports/athletic ability, and neighborhood walkability.
Although most participants did not meet the MVPA guideline, the six Active profiles showed the places in which many adolescents were able to achieve the 60-minute/day guideline. The home and school neighborhood (partly through walking to school), "other" locations, and to a lesser extent the home, appeared to be key sources for physical activity that distinguished active from insufficiently active adolescents. Finding the right match between the individual and physical activity source/location may be a promising strategy for increasing active travel and MVPA in adolescents.
探讨青少年是否会根据他们进行中度至剧烈身体活动(MVPA)的地点聚集成不同类型,不同类型的总体MVPA是否存在差异,以及步行上学、参与者和社区特征是否能解释类型归属。
青少年(N = 528;平均年龄 = 14.12±1.44;50%为女孩)佩戴加速度计和全球定位系统(GPS)追踪器3.9±1.5天,以评估五个地点的MVPA分钟数:在家、在学校、在家附近、在学校附近和其他地点。通过问卷调查评估步行上学情况和参与者特征,通过地理信息系统(GIS)评估社区环境。潜在类别分析(LPA)用于根据五个地点的身体活动积累情况识别参与者的类型/组。混合效应回归检验不同类型在总体MVPA、步行上学和其他特征方面的差异。
最初出现了四种类型:一种是身体活动不足型,三种是“活跃型”(学校周围活跃型、家附近活跃型和其他地点活跃型)。第一次LPA中出现的身体活动不足型(占参与者的90%)在第二次LPA中进一步分为四种类型:身体活动不足型,以及另外三种“活跃型”(学校周围中度活跃型、家附近中度活跃型和在家活跃型)。六种活跃型的青少年每天的总体MVPA(41.1 - 92.7分钟)比两种身体活动不足型的青少年(34.5 - 38.3分钟)更多。不同类型之间存在差异的变量包括步行上学、运动/体育能力和社区步行便利性。
虽然大多数参与者未达到MVPA指南标准,但六种活跃型显示出许多青少年能够达到每天60分钟指南标准的地点。家庭和学校附近区域(部分通过步行上学)、“其他”地点,以及在较小程度上的家庭,似乎是区分活跃青少年和身体活动不足青少年的身体活动的关键来源。找到个人与身体活动来源/地点之间的正确匹配可能是增加青少年积极出行和MVPA的一种有前景的策略。