Evidence map›Paper›PMID 36517944›Full record

ArticlePediatric obesity2023

Trends in school-neighbourhood inequalities and youth obesity: Repeated cross-sectional analyses of the public schools in the state of California.

Mika Matsuzaki, Emma V Sanchez-Vaznaugh, Kelsey Alexovitz, Maria E Acosta, Brisa N Sánchez

Open access · hybridAbstract read
In one paragraph

Article in Pediatric obesity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
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

5 authors at 4 institutions in 1 country.

Mika MatsuzakiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-7020-3757
Emma V Sanchez-VaznaughDepartment of Public Health, San Francisco State University, San Francisco, California, USA.
Kelsey AlexovitzDepartment of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Maria E AcostaDepartment of Public Health, San Francisco State University, San Francisco, California, USA.
Brisa N SánchezDepartment of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Drexel University · USJohns Hopkins University · USSan Francisco State University · USUniversity of California, San Francisco · US

Funding

Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, SONG, PETER XUEKUN · 2013 to 2018
$3.9M
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
Multilevel Influences on Childhood Obesity DisparitiesK01HL115471 · NHLBI · SAN FRANCISCO STATE UNIVERSITY · PI SANCHEZ-VAZNAUGH, EMMA V. · 2012 to 2016
$734k
NHLBI NIH HHS K01 HL115471NHLBI NIH HHS R01 HL131610NHLBI NIH HHS R01 HL136718NIEHS NIH HHS P01 ES022844
6 · The paper itself

Abstract

backgroundIt is currently unknown whether the relationship between affluence of school neighbourhoods and prevalence of youth overweight/obesity is uniform across demographic subgroups and areal context in the United States.

methodsWe examined association between school-neighbourhood income tertiles and school-level overweight/obesity (OVOB) prevalence, using data on body mass index of fifth, seventh, and nineth graders who attended public schools in California in 2001 and 2010 (n = 1 584 768), using multiple logistic regression models.

resultsOverall, OVOB prevalence was higher in lower-income school neighbourhoods, with a steeper income-OVOB gradient for girls. Among boys, the gradient became steeper in 2010 than 2000. Among Asian and White girls, the negative gradients were steepest in rural areas. For African-American students in all areas and Latino boys in rural areas, there was less clear evidence of inverse income-OVOB gradients. Addition of fast-food restaurant availability to the models did not change the observed inverse school-neighbourhood income-obesity gradients.

conclusionsThe findings suggest the needs to investigate reasons for this variability with consideration to combinations of sociodemographic, economic, and environmental risk factors that may contribute to disparities in childhood obesity.

Indexed as

Pediatric ObesityAdolescentBody Mass IndexCaliforniaChildCross-Sectional StudiesFemaleHumansOverweightPrevalenceSchoolsUnited Statesgenderneighbourhood inequalityrace/ethnicityschoolurbanicityyouth obesity

Identifiers

PMID36517944
PMCPMC10078445
OpenAlexW4311505399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.