Evidence map›Paper›PMID 40617096›Full record

ArticleHealth & place2025

Characterizing household food security status, perceived neighborhood food environment, and food shopping behaviors among caregivers of children in the Hispanic Community Health Study/Study of Latinos Youth ancillary study (SOL Youth).

Amanda C McClain, Robert J Castro, Jonathan L Helm, Carmen R Isasi, Krista M Perreira, Josiemer Mattei, Guadalupe X Ayala, Yasmin Mossavar-Rahmani, Daniela Sotres-Alvarez, Martha Daviglus and 3 more

Abstract read
In one paragraph

Article in Health & place, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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. 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

13 authors.

Amanda C McClainSchool of Exercise and Nutritional Sciences, College of Health and Human Services, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA. Electronic address: amcclain@sdsu.edu.
Robert J CastroSchool of Exercise and Nutritional Sciences, College of Health and Human Services, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.
Jonathan L HelmDepartment of Psychology, College of Sciences, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.
Carmen R IsasiDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY, 10467, USA.
Krista M PerreiraDepartment of Social Medicine, School of Medicine, University of North Carolina, 333 S. Columbia Street, Chapel Hill, NC, 27599, USA.
Josiemer MatteiDepartment of Nutrition, T.H. Chan School of Public Health, Harvard University, 655 Huntington Avenue, Boston, MA, 02115, USA.
Guadalupe X AyalaSchool of Public Health, College of Health and Human Services, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.
Yasmin Mossavar-RahmaniDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY, 10467, USA.
Daniela Sotres-AlvarezDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
Martha DaviglusCollege of Medicine, University of Illinois Chicago, 1853 W. Polk Street, Chicago, IL, 60612, USA.
Linda Van HornDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
Greg A TalaveraDepartment of Psychology, College of Sciences, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.
Linda C GalloDepartment of Psychology, College of Sciences, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Hispanic Community Children???s Health Study of Latino Youth SOL-YouthR01HL102130 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AYALA, GUADALUPE X, BANGDIWALA, SHRIKANT I · 2011 to 2014
$7.5M
Capacity-oriented approaches to food security, diet quality, and cardiovascular disease risk among Hispanics/LatinosK01HL150406 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI MCCLAIN, AMANDA CHRISTINE · 2020 to 2024
$915k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHLBI NIH HHS K01 HL150406NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL102130NIDDK NIH HHS P30 DK111022NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

U.S. Hispanic/Latino households disproportionally experience food insecurity, which may intersect with their food environments and food shopping behaviors to shape diet and health, but more representative findings are needed. We identified latent classes related to household food security (HFS), food environments, and food shopping behaviors among U.S. Hispanic/Latino households, and investigated their relationships with sociodemographic characteristics. We used cross-sectional data from 983 adult caregivers residing with youth (8-16 y) and participating in the multisite Study of Latino Youth. Caregivers completed the USDA HFS Survey Module (high, marginal, low, very low FS), a 5-item perceived neighborhood food environment (healthy food availability, quality, cost) questionnaire, and a 5-item food outlet shopping frequency questionnaire. We identified the best-fitting solution of latent classes by examining standard fit criteria and determined the relationship of latent classes to distal sociodemographic characteristics. We identified a 5-class solution. The "average quality, somewhat costly food environment" class (19.7 %) had low and high HFS and shopped at a variety of food stores; this class had the highest proportion of participants who were foreign-born (96 %) and reporting Spanish as their preferred language (90 %). The "high quality, high-cost food environment, food-insecure household" class (22.6 %) shopped at supermarkets and had the highest proportion of participants with a household income of ≤$20,000 (68 %). The "poor quality, high-cost food environment" class (16.8 %) had low and high HFS and shopped at supermarkets and convenience stores; this class had the highest proportion of participants who were single (33 %), without a vehicle (53 %), and reporting English as their preferred language (39 %). The "high quality, somewhat costly food environment, food-secure household" class (15.0 %) shopped at a variety of food stores and had the highest proportion (65 %) of participants with a household income of >$20,000. The "high quality, affordable food environment, food-secure household" class (25.9 %) shopped at supermarkets and had the highest proportion of participants who were US-born (25 %). U.S. Hispanic/Latino adults living with youth reported distinct combinations of HFS status, perceived neighborhood food environments, and food shopping behaviors, which underscores the complexity of factors defining adequate food access.

Indexed as

CaregiversCommerceFood SecurityFood SupplyHispanic or LatinoNeighborhood CharacteristicsResidence CharacteristicsAdolescentAdultChildCross-Sectional StudiesFamily CharacteristicsFemaleFood InsecurityHumansMaleAccess to healthy foodFood insecurityFood securityFood shoppingHispanic or latinoLatent class analysisPerceived food environment

Identifiers

PMID40617096
PMCPMC12503184

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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.