Evidence map›Paper›PMID 38748362›Full record

ArticleJournal of racial and ethnic health disparities2025

Utilizing an Intersectional Approach to Examine Experiences of Hunger Among Adolescents During COVID-19: Considering Race/Ethnicity, Sexual Identity, and Employment Disparities in a Nationally Representative Sample.

Kathryn M Janda-Thomte, Dale S Mantey, Catherine Bigbie, Andrew Springer

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Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kathryn M Janda-ThomteDepartment of Public Health, Robbins College of Health and Human Sciences, Baylor University, One Bear Place #97343, Waco, TX, 76798, USA. Kathryn_Janda@baylor.edu.ORCID 0000-0003-2121-553X
Dale S ManteyUniversity of Texas Health Science Center at Houston School of Public Health in Austin, 1616 Guadalupe Street, Suite 6.300, Austin, TX, 78701, USA.
Catherine BigbieDepartment of Public Health, Robbins College of Health and Human Sciences, Baylor University, One Bear Place #97343, Waco, TX, 76798, USA.ORCID 0009-0004-7245-317X
Andrew SpringerUniversity of Texas Health Science Center at Houston School of Public Health in Austin, 1616 Guadalupe Street, Suite 6.300, Austin, TX, 78701, USA.ORCID 0000-0002-4548-4163

Funding

Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
National Cancer Institute (US) T32/CA057712
6 · The paper itself

Abstract

purposeThis study examines correlates of experiences of hunger among adolescents in the United States (U.S) by the intersectionality of race/ethnicity with sociodemographic characteristics (gender, sexual identity, and adolescent/parent job loss) with the aim of identifying subgroups most at risk for hunger during the COVID-19 pandemic.

methodsThis cross-sectional study uses nationally representative data from the Adolescent Behaviors and Experiences Survey (ABES) collected from January to June 2021. The analytic sample was high school students aged 14-17 with complete data (n = 6023). Descriptive statistics, bivariate, and multivariate logistic regression models were used to examine associations between sociodemographic factors and hunger (1-item measure) among adolescents during the pandemic for the analytic sample and stratified by race/ethnicity.

resultsThe prevalence of hunger was 24.1% for the analytic sample and was highest among American Indian/Alaskan Native/Other Pacific Islander youth (37.2%), followed by non-Hispanic Black (31.8%) and Hispanic (28.4%) youth, and lowest among Non-Hispanic White youth (18.6%). In the analytic sample, there were significant differences in experiences of hunger by race/ethnicity, sexual identity, and adolescent/parent job loss during the pandemic (p < 0.05). When stratified by race/ethnicity, there were differential associations of hunger with sexual identity, and adolescent/parent job loss.

conclusionsThese findings provide evidence of differential experiences of hunger during the pandemic among adolescents by sociodemographic factors. Results highlight the need for taking an intersectional approach when examining issues such as hunger. Future policies and programs should be mindful of factors associated with hunger and should prioritize using an equity-informed approach when engaging with multiply-marginalized adolescents.

Indexed as

COVID-19EmploymentEthnicityHungerRacial GroupsAdolescentCross-Sectional StudiesFemaleHumansMaleUnited StatesAdolescent hungerCOVID-19DisparitiesMultiply-marginalized identitiesRacial/ethnic differences

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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.