ArticleThe Journal of school health2025
Schoolyard Level Inventory for Describing the Environment: Linking High-Resolution Spatiotemporal Data to the Physical Environment to Understand Children's Physical Activity Behaviors.
Article in The Journal of school health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchoolyards and/or playgrounds are important settings for fostering children's social, cognitive, and physical development. Optimal schoolyard design is likely an important health-promoting and equigenic strategy, but prior research does not fully consider multiple dimensions of these spaces, such as vegetation, slopes, ground cover, and equipment.
aimsWe describe the Schoolyard Level Inventory for Describing the Environment (SLIDE) a novel method to compile spatial data from multiple sources, including in-person audits (e.g., cleanliness), images (e.g., greenness), and geographic information systems (e.g., distance to road), that can be linked with children's device data. MATERIALS &
methodsWe illustrate use of SLIDE in 91 first and second graders from three elementary schools who wore an accelerometer and global positioning system (GPS) device during school recess. Multilevel linear regression was used to test associations between 22 environmental features and children's physical activity intensity and time spent (duration of play).
resultsThe auditing process took two researchers ~30 min per 1000 m2 of schoolyard. Some features were consistent across schools (flatness, grass areas, views of the school), while other features varied (views of the road, covered areas, seated areas, slides, and colorful equipment). We found significant, independent, negative associations between physical activity intensity with redness and cleanliness, and positive associations with colorful equipment and distance to road. We detected significant, negative associations between time spent with greenness and fields, and a positive association with equipment condition. DISCUSSION: While many of our findings align with prior research, we note that SLIDE also provides new insights including a better understanding of the complex inter-relationships between schoolyard features and outcomes. On a larger sample of more diverse schoolyards, this would allow researchers to identify which specific features should be the focus of future schoolyard designs or renovations.
conclusionSLIDE can be used to inform schoolyard design, assess greening or redesign interventions, and examine schoolyard inequalities, while accounting for complex inter-relationships between features.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.