Evidence map›Paper›PMID 35928596›Full record

ArticlePreventive medicine reports2022

Characterizing food environments near schools in California: A latent class approach simultaneously using multiple food outlet types and two spatial scales.

Brisa N Sánchez, Han Fu, Mika Matsuzaki, Emma Sanchez-Vaznaugh

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Brisa N SánchezDepartment of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA.
Han FuDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48104, USA.
Mika MatsuzakiDepartment of International Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Emma Sanchez-VaznaughHealth Education Department, San Francisco State University, San Francisco, CA 94132, USA.

Funding

Characterizing health impacts of built environment features using complex dataR01HL131610 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SANCHEZ, BRISA N · 2017 to 2021
$3.6M
Population-level interventions and community environment effects on child obesity disparitiesR01HL136718 · NHLBI · SAN FRANCISCO STATE UNIVERSITY · PI SANCHEZ, BRISA N, SANCHEZ-VAZNAUGH, EMMA V. · 2018 to 2022
$3.3M
NHLBI NIH HHS R01 HL131610NHLBI NIH HHS R01 HL136718
6 · The paper itself

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.

Indexed as

DisparitiesFood environment near schoolsUnhealthy food outletsUrbanicity differences

Identifiers

PMID35928596
PMCPMC9344015

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.