ArticleJournal of transport & health2018
Latent profile analysis of young adolescents' physical activity across locations on schooldays.
Article in Journal of transport & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Meeting 24-hour movement guidelines and the relationship with active commuting to school in Spanish urban areas.Frontiers in sports and active living · 2025Article
- The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents.International journal of environmental research and public health · 2022Article
- Ecological correlates related to adolescent movement behaviors: A latent class analysis.PloS one · 2022Article
- Implementation of School Remote Drop-off Walking Programs: Results from Qualitative Interviews.Journal of transport & health · 2021Article
- Associations between Psychosocial Variables, Availability of Physical Activity Resources in Neighborhood Environment, and Out-of-School Physical Activity among Chinese Adolescents.International journal of environmental research and public health · 2021Article
- Socio-economic and Regional Differences in Walkability and Greenspace Around Primary Schools: A Census of Australian Primary School Neighbourhoods.Journal of community health · 2021Article
- International Physical Activity and Built Environment Study of adolescents: IPEN Adolescent design, protocol and measures.BMJ open · 2021Observational
- Differences in adolescent activity and dietary behaviors across home, school, and other locations warrant location-specific intervention approaches.The international journal of behavioral nutrition and physical activity · 2020Article
- Residential vs school neighborhoods: Associations with physical activity among adolescents.Health & place · 2020Article
- Article
Corrections and comments
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Authors and funding
12 authors at 9 institutions in 3 countries.
Funding
Abstract
purposeTo 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.
methodsAdolescents (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.
resultsFour 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.
conclusionsAlthough 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.
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Registered trials
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