Cross-Sectional Analysis of Factors Predicting Food Assistance Stigma

The stigma associated with food assistance can be a barrier to resolving food insecurity. Self-reliance expectations likely contribute to this stigma. Aim: This cross-sectional study identified factors that predict perceptions of food assistance stigma. Demographics (age, sex, race, and ethnicity) were collected, and food assistance stigma (Food Resource Acceptability) and self-reliance (Self-Reliance Scale) were measured via REDCap questionnaires from 531 online participants. The research volunteer repository, Research Match, was used for recruitment. Multiple regression was conducted to determine food assistance stigma predictors. Older age, being male, and reporting higher self-reliance significantly predicted the likelihood of stigmatizing food assistance. The social expectation of self-reliance in adulthood contributes to an assigned and anticipated stigma associated with accepting food assistance. This stigma permeates many regions, particularly the United States, and likely contributes to unresolved food insecurity despite the availability of multiple food assistance resources. Future qualitative research should be conducted among older individuals and males with high levels of self-reliance to gain a deeper understanding of how food assistance stigma could be lessened so that appropriate stigma reduction interventions could be tested among this target group.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2025-07-01
DOI
https://doi.org/10.3390/bs15070897
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-Sectional Analysis of Factors Predicting Food Assistance Stigma

Frances Hardin‐Fanning, Shuying Sha, Ratchneewan Ross
1 links
Behavioral Sciences
Food Security and Health in Diverse Populations
article

Cross-Sectional Analysis of Factors Predicting Food Assistance Stigma

Frances Hardin‐Fanning, Shuying Sha, Ratchneewan Ross
article en

Abstract

The stigma associated with food assistance can be a barrier to resolving food insecurity. Self-reliance expectations likely contribute to this stigma. Aim: This cross-sectional study identified factors that predict perceptions of food assistance stigma. Demographics (age, sex, race, and ethnicity) were collected, and food assistance stigma (Food Resource Acceptability) and self-reliance (Self-Reliance Scale) were measured via REDCap questionnaires from 531 online participants. The research volunteer repository, Research Match, was used for recruitment. Multiple regression was conducted to determine food assistance stigma predictors. Older age, being male, and reporting higher self-reliance significantly predicted the likelihood of stigmatizing food assistance. The social expectation of self-reliance in adulthood contributes to an assigned and anticipated stigma associated with accepting food assistance. This stigma permeates many regions, particularly the United States, and likely contributes to unresolved food insecurity despite the availability of multiple food assistance resources. Future qualitative research should be conducted among older individuals and males with high levels of self-reliance to gain a deeper understanding of how food assistance stigma could be lessened so that appropriate stigma reduction interventions could be tested among this target group.

Behavioral SciencesVol. 15(7)
University of Louisville (US)
University of Louisville
Zero hunger
Openalex Percentile: Top 74%
Food Security and Health in Diverse Populations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.