ArticlePreventive medicine reports2022
Characterizing food environments near schools in California: A latent class approach simultaneously using multiple food outlet types and two spatial scales.
Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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.
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Who cites it
6 citing papers in PubMed.
- BCH-GEE Approach to Examine the Association Between Time-Varying Food Environment Classes and Multi-Level Health Outcomes.Statistics in medicine · 2026Article
- Examining disparities in the accessibility of unhealthy food vendors in school neighbourhoods across Ontario: Would the implementation of new distance-based regulations improve equity?Canadian journal of public health = Revue canadienne de sante publique · 2026Article
- Fast-food and convenience outlets near schools in California: a comparison of private and public schools.American journal of epidemiology · 2026Article
- Changes in the food environment surrounding schools in four New Jersey school districts between school years 2012-13 and 2019-20.Preventive medicine · 2025Article
- Combining Straight-Line and Map-Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease.Statistics in medicine · 2025Article
- Characterizing the food and physical activity environments of selected public schools in Region IV-A, Philippines.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
It is challenging to evaluate associations between the food environment near schools with either prevalence of childhood obesity or with socioeconomic characteristics of schools. This is because the food environment has many dimensions, including its spatial distribution. We used latent class analysis to classify public schools in urban, suburban, and rural areas in California into food environment classes based on the availability and spatial distribution of multiple types of unhealthy food outlets nearby. All urban schools had at least one unhealthy food outlet nearby, compared to seventy-two percent of schools in rural areas did. Food environment classes varied in the quantity of available food outlets, the relative mix of food outlet types, and the outlets' spatial distribution near schools. Regardless of urbanicity, schools in low-income neighborhoods had greater exposure to unhealthy food outlets. The direction of associations between food environment classes and school size, type, and race/ethnic composition depends on the level of urbanicity of the school locations. Urban schools attended primarily by African American and Asian children are more likely to have greater exposures to unhealthy food outlets. In urban and rural but not suburban areas, schools attended primarily by Latino students had more outlets offering unhealthy foods or beverages nearby. In suburban areas, differences in the spatial distribution of food outlets indicates that food outlets are more likely to cluster near K-12 schools and high schools compared to elementary schools. Intervention design and future research need to consider that the associations between food environment exposures and school characteristics differ by urbanicity.
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Registered trials
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