Evidence map›Paper›PMID 34029318›Full record

ArticlePLoS medicine2021

California and federal school nutrition policies and obesity among children of Pacific Islander, American Indian/Alaska Native, and Filipino origins: Interrupted time series analysis.

Mika Matsuzaki, Brisa N Sánchez, R David Rebanal, Joel Gittelsohn, Emma V Sanchez-Vaznaugh

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. "Competitive" food and beverage policies and weight status: A systematic review of the evidence among sociodemographic subgroups.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
    Pooled it
  2. Article
  3. Review
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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

5 authors at 4 institutions in 1 country.

Mika MatsuzakiJohns Hopkins Bloomberg School of Public Health, Department of International Health, Center for Human Nutrition, Baltimore, Maryland, United States of America.ORCID 0000-0002-7020-3757
Brisa N SánchezDrexel University Dornsife School of Public Health, Department of Biostatistics, Philadelphia, Pennsylvania, United States of America.
R David RebanalSan Francisco State University, Health Equity Institute, San Francisco, California, United States of America.ORCID 0000-0002-6121-5510
Joel GittelsohnJohns Hopkins Bloomberg School of Public Health, Department of International Health, Center for Human Nutrition, Baltimore, Maryland, United States of America.
Emma V Sanchez-VaznaughSan Francisco State University, Health Equity Institute, San Francisco, California, United States of America.
Johns Hopkins University · USDrexel 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

backgroundObesity prevalence remains high among children of Pacific Islander (PI) origin, Filipino (FI), and American Indian/Alaska Native (AIAN) origins in the United States. While school nutrition policies may help prevent and reduce childhood obesity, their influences specifically among PI, FI, and AIAN children remain understudied. We evaluated the association of the California (CA) state school nutrition policies for competitive food and beverages and the federal policy for school meals (Healthy, Hunger-Free Kids Act of 2010 (HHFKA 2010)) with overweight/obesity among PI, FI, and AIAN students. METHODS AND

findingsWe used an interrupted time series (ITS) design with FitnessGram data from 2002 to 2016 for PI (78,841), FI (328,667), AIAN (97,129), and White (3,309,982) students in fifth and seventh grades who attended CA public schools. Multilevel logistic regression models estimated the associations of the CA school nutrition policies (in effect beginning in academic year 2004 to 2005) and HHFKA 2010 (from academic year 2012 to 2013) with overweight/obesity prevalence (above the 85 percentile of the age- and sex-specific body mass index (BMI) distribution). The models were constructed separately for each grade and sex combination and adjusted for school district-, school-, and student-level characteristics such as percentage of students eligible for free and reduced price meals, neighborhood income and education levels, and age. Across the study period, the crude prevalence of overweight/obesity was higher among PI (39.5% to 52.5%), FI (32.9% to 36.7%), and AIAN (37.7% to 45.6%) children, compared to White (26.8% to 30.2%) students. The results generally showed favorable association of the CA nutrition policies with overweight/obesity prevalence trends, although the magnitudes of associations and strengths of evidence varied among racial/ethnic subgroups. Before the CA policies went into effect (2002 to 2004), overweight/obesity prevalence increased for White, PI, and AIAN students in both grades and sex groups as well as FI girls in seventh grade. After the CA policies took place (2005 to 2012), the overweight/obesity rates decreased for almost all subgroups who experienced increasing trends before the policies, with the largest decrease seen among PI girls in fifth grade (before: log odds ratio = 0.149 (95% CI 0.108 to 0.189; p < 0.001); after: 0.010 (-0.005 to 0.025; 0.178)). When both the CA nutrition policies and HHFKA 2010 were in effect (2013 to 2016), declines in the overweight/obesity prevalence were seen among White girls and FI boys in fifth grade. Despite the evidence of the favorable association of the school nutrition policies with overweight/obesity prevalence trends, disparities between PI and AIAN students and their White peers remained large after the policies took place. As these policies went into effect for all public schools in CA, without a clear comparison group, we cannot conclude that the changes in prevalence trends were solely attributable to these policies.

conclusionsThe current study found evidence of favorable associations of the state and federal school nutrition policies with overweight/obesity prevalence trends. However, the prevalence of overweight/obesity continued to be high among PI and AIAN students and FI boys. There remain wide racial/ethnic disparities between these racial/ethnic minority subgroups and their White peers. Additional strategies are needed to reduce childhood obesity and related disparities among these understudied racial/ethnic populations.

Indexed as

Nutrition PolicyAdolescentAlaska NativesAmerican Indian or Alaska NativeAsianCaliforniaChildFemaleHumansInterrupted Time Series AnalysisMaleNative Hawaiian or Pacific IslanderOverweightPediatric ObesityPrevalenceUnited States

Identifiers

PMID34029318
PMCPMC8143391
OpenAlexW3164180343

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.