PURPOSE 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. METHODS 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. RESULTS 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. CONCLUSIONS 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.

中文翻译：

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青少年在校期间不同地点的身体活动的潜在概况分析。

目的 调查青少年是否根据他们积累中度到剧烈体育活动 (MVPA) 的位置聚集到个人资料中，总体 MVPA 是否因个人资料而异，以及步行上学以及参与者和社区特征是否解释了个人资料成员资格。方法 青少年（N=528；平均年龄=14.12±1.44；50% 的女孩）佩戴加速度计和全球定位系统 (GPS) 跟踪器 3.9±1.5 天，以评估五个地点的 MVPA 分钟数：家中、学校、家庭社区，在学校附近，和其他。通过问卷调查步行上学和参与者特征，并通过地理信息系统（GIS）评估邻里环境。潜在概况分析 (LPA) 用于根据五个地点的身体活动积累来识别参与者的概况/组。混合效应回归测试了总体 MVPA、步行上学和其他特征的差异。结果 出现了四个初始配置文件：一个活动不足的配置文件和三个“活动”配置文件（学校周围活动、家庭社区活动和其他位置活动）。从第一个 LPA（90% 的参与者）中出现的“不够活跃”配置文件在第二个 LPA 中进一步分为四个配置文件：“不够活跃”和三个额外的“活跃”配置文件（学校周围中等活跃、家庭社区中等活跃和在家活动）。六个活跃配置文件中的人的总体 MVPA（41.1-92.7 分钟/天）比两个活动不足的配置文件（34.5-38.3 分钟/天）中的更多。不同档案的变量包括步行上学，运动/运动能力和邻里步行能力。结论 虽然大多数参与者不符合 MVPA 指南，但六个 Active 配置文件显示了许多青少年能够达到 60 分钟/天指南的地方。家庭和学校社区（部分通过步行上学）、“其他”地点以及在较小程度上是家庭，似乎是区分活跃与不活跃青少年的身体活动的主要来源。在个人和身体活动来源/位置之间找到正确的匹配可能是增加青少年积极旅行和 MVPA 的有希望的策略。六个 Active Profiles 显示了许多青少年能够达到 60 分钟/天指南的地方。家庭和学校社区（部分通过步行上学）、“其他”地点以及在较小程度上是家庭，似乎是区分活跃与不活跃青少年的身体活动的主要来源。在个人和身体活动来源/位置之间找到正确的匹配可能是增加青少年积极旅行和 MVPA 的有希望的策略。六个 Active Profiles 显示了许多青少年能够达到 60 分钟/天指南的地方。家庭和学校社区（部分通过步行上学）、“其他”地点以及在较小程度上是家庭，似乎是区分活跃与不活跃青少年的身体活动的主要来源。在个人和身体活动来源/位置之间找到正确的匹配可能是增加青少年积极旅行和 MVPA 的有希望的策略。