Food insecurity in New York City college students during the COVID-19 pandemic: a longitudinal analysis of predictors, correlates, and trajectories

OBJECTIVE: To examine predictors, correlates, and trajectories of food insecurity (FI) among students during COVID-19. PARTICIPANTS: Undergraduates. METHODS: Between 2020-2021, students completed quarterly (T1-T4) self-administered questionnaires. FI comprised food not lasting or not affording balanced meals. Trajectories were created using cumulative FI reports. RESULTS: Across time, FI varied (T1 = 21%, T2 = 25%, T3 = 17%, T4 = 19%). FI predictors included preexisting FI, need-based aid, low social support, alcohol use, COVID-19 care-seeking behaviors, violence experience, transgender/gender non-conforming [TGNC] identity, and unsafe home perceptions. FI trajectories spanned Never (69%), Rarely (12% FI once), Frequently (14% FI twice/thrice), and Persistently (5%). Along with low social support, Persistently FI students had high psychological distress, need-based aid, unsafe home perceptions, smoking/vaping, drug use, TGNC representation, violence experience, and COVID-19 care-seeking behaviors. CONCLUSIONS: FI was associated with sociodemographic, residential, interpersonal, psychosocial, behavioral, and healthcare-related factors. In routine campus operations and emergency situations, universities must develop multi-component interventions to address multi-factorial stressors.

Authors

Institutions

Publication Details

Journal
Journal of American College Health
Published
2026-05-31
DOI
https://doi.org/10.1080/07448481.2026.2674845
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

Food insecurity in New York City college students during the COVID-19 pandemic: a longitudinal analysis of predictors, correlates, and trajectories

Marina Catallozzi, April Autry, Delivette Castor, Joshua Rotbert et al.
Journal of American College Health
Food Security and Health in Diverse Populations
article

Food insecurity in New York City college students during the COVID-19 pandemic: a longitudinal analysis of predictors, correlates, and trajectories

Marina Catallozzi, April Autry, Delivette Castor, Joshua Rotbert, Sarah Ann Anderson-Burnett, Caroline Ray, Craig J. Heck, Cynthia Yang, Deborah Theodore, Magdalena E. Sobieszczyk, Jason Zucker, Brit Sovic, Eloise Austin
article en

Abstract

OBJECTIVE: To examine predictors, correlates, and trajectories of food insecurity (FI) among students during COVID-19. PARTICIPANTS: Undergraduates. METHODS: Between 2020-2021, students completed quarterly (T1-T4) self-administered questionnaires. FI comprised food not lasting or not affording balanced meals. Trajectories were created using cumulative FI reports. RESULTS: Across time, FI varied (T1 = 21%, T2 = 25%, T3 = 17%, T4 = 19%). FI predictors included preexisting FI, need-based aid, low social support, alcohol use, COVID-19 care-seeking behaviors, violence experience, transgender/gender non-conforming [TGNC] identity, and unsafe home perceptions. FI trajectories spanned Never (69%), Rarely (12% FI once), Frequently (14% FI twice/thrice), and Persistently (5%). Along with low social support, Persistently FI students had high psychological distress, need-based aid, unsafe home perceptions, smoking/vaping, drug use, TGNC representation, violence experience, and COVID-19 care-seeking behaviors. CONCLUSIONS: FI was associated with sociodemographic, residential, interpersonal, psychosocial, behavioral, and healthcare-related factors. In routine campus operations and emergency situations, universities must develop multi-component interventions to address multi-factorial stressors.

Journal of American College Health
Population Council (IN), Columbia University Irving Medical Center (US), Columbia University (US), Barnard College (US)
National Institute of Allergy and Infectious Diseases
Zero hunger
Openalex Percentile: Top 4%
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.