Evidence map›Paper›PMID 41933227›Full record

ArticleJournal of immigrant and minority health2026

Gender Differences in Dietary Quality and Dietary Acculturation among Mexican Children of Immigrants.

Molly Dondero, Michelle L Frisco, Kelsey Shaulis, Jennifer Van Hook

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Molly DonderoDepartment of Sociology, American University, Washington, DC, USA. dondero@american.edu.
Michelle L FriscoDepartment of Sociology and Criminology and Population Research Institute, Pennsylvania State University, University Park, PA, USA.
Kelsey ShaulisDepartment of Sociology and Criminology and Population Research Institute, Pennsylvania State University, University Park, PA, USA.
Jennifer Van HookDepartment of Sociology and Criminology and Population Research Institute, Pennsylvania State University, University Park, PA, USA.

Funding

Eunice Kennedy Shriver National Institute of Child Health and Human Development 1R03HD103829-01A1
6 · The paper itself

Abstract

Childhood obesity-a risk factor for heart disease, type 2 diabetes, other non-communicable diseases and adverse psychosocial experiences-is especially high among children of Mexican immigrants, and among these children, boys have an obesity risk nearly twice as high as girls. Yet little research has examined whether there are also gender differences in the proximate determinants of obesity for this population. This study uses structural equation modeling and the 2003/4-2017/18 National Health and Nutrition Examination Survey to investigate gender differences in a key proximate determinant of obesity-diet-among adolescents with Mexican immigrant parents. We examine (1) whether there are gender differences in dietary quality and dietary acculturation, (2) whether gender differences in the settings in which adolescents eat explain gender differences in these outcomes, and (3) whether these patterns vary by parental acculturation (household language). We find that among adolescents in Spanish-speaking households, boys have significantly lower dietary quality and significantly higher dietary acculturation than girls and that gender differences in some meal settings outside the home contribute to these differences. We do not find statistically significant gender differences in the dietary outcomes or meal settings for adolescents in English-speaking households. Results highlight the importance of considering how gender and social contexts shape the health behaviors of children of Mexican immigrants.

Indexed as

AcculturationAdolescentsChildren of immigrantsDietDietary acculturationGenderMexican immigrantsObesity

Identifiers

PMID41933227

What OpenQuestion holds

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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.