Evidence map›Paper›PMID 33693783›Full record

ArticleThe Journal of nutrition2021

Factor Analysis Reduces Complex Measures of Nutrition Environments in US Elementary and Middle Schools into Cohesive Dimensions in the Healthy Communities Study.

Marisa M Tsai, Edward A Frongillo, Lorrene D Ritchie, Gail Woodward-Lopez, Lauren E Au

Open access · bronzeAbstract readEvaluation Study
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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 3 institutions in 1 country.

Marisa M TsaiNutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, USA.ORCID 0000-0002-1387-1628
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, USA.ORCID 0000-0002-8265-9815
Lorrene D RitchieNutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, USA.
Gail Woodward-LopezNutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, USA.
Lauren E AuDepartment of Nutrition, University of California, Davis, CA, USA.
University of California Division of Agriculture and Natural Resources · USUniversity of California, Davis · USUniversity of South Carolina · US

Funding

Disparities in the Relationship Between the School Nutrition Environment and Childhood ObesityK01HL131630 · NHLBI · UNIV OF CALIF/DIV/AGRICULTURE/NAT/RESOUR · PI AU, LAUREN E · 2016 to 2020
$841k
NHLBI NIH HHS K01 HL131630
6 · The paper itself

Abstract

backgroundAlthough it has been recommended that schools be the hub of efforts to improve child nutrition, research describing school nutrition environments in US public schools and their associations with child health is limited.

objectiveThis study aimed to evaluate the applicability of factor analysis methods to characterize school nutrition environments by identifying underlying factors, or dimensions, in the observed data and to examine the relation between school nutrition environment dimensions and child anthropometric and dietary outcomes.

methodsThis study examined a cross-sectional sample of 4635 US children aged 4-15 y from 386 US elementary and middle schools from the Healthy Communities Study (2013-2015). Data collected from schools were used to create 34 variables that assessed the school nutrition environment. To identify dimensions of school nutrition environments, exploratory factor analysis was conducted with orthogonal rotation, and factor scores were derived using methods to account for sporadic missing data. Mixed-effects regression models adjusted for child- and community-level variables and clustered by community and school examined the associations of school nutrition environment dimensions with child anthropometric and dietary outcomes.

resultsSix dimensions of school nutrition environments were derived: nutrition education, food options, wellness policies, dining environment, unhealthy food restriction, and nutrition programs. The unhealthy food restriction dimension was negatively associated with added sugar intake (β = -1.13, P < 0.0001), and the wellness policies dimension was positively associated with waist circumference (β = 0.57, P = 0.01).

conclusionsThis study demonstrates how factor analysis can reduce multiple measures of complex school nutrition environments into conceptually cohesive dimensions for purposes of assessing the relation of these dimensions to student health-related outcomes. Findings were mixed and indicate that the restriction of unhealthy foods in school is associated with lower added sugar intake. Additional, longitudinal studies are needed to substantiate the utility of this method for identifying promising school nutrition environments.

Indexed as

DietFactor Analysis, StatisticalFood ServicesNutritional StatusNutritive ValueSchoolsAdolescentAdolescent HealthChildChild HealthChild Nutritional Physiological PhenomenaChild, PreschoolCross-Sectional StudiesDietary SugarsEnvironmentFemaleDietary Sugarschilddietfactor analysisfood environmentschool-age childschool mealsschool nutrition environment

Identifiers

PMID33693783
PMCPMC8243776
OpenAlexW3135016560

What OpenQuestion holds

Textmetadata
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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.