Observational studyNutrients2023
Prevalence and Predictors of Food Insecurity among Students of a Spanish University during the COVID-19 Pandemic: FINESCOP Project at the UPV/EHU.
Observational study in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Food insecurity among university students: a comparative analysis across nine European countries in the FINESCOP project.Public health nutrition · 2026Article
- Food deserts and food insecurity in Indian medical colleges: a mixed-methods study protocol exploring myths and realities.BMJ public health · 2026Article
- Food Security in a College Community: Assessing Availability, Access, and Consumption Patterns in a Mexican Context.International journal of environmental research and public health · 2025Article
- Food Insecurity, Health, and Socioeconomic Status: Results from the University of the Basque Country, Spain.Nutrients · 2025Article
- Dietary Intakes Among University Students in Iceland: Insights from the FINESCOP Project.Nutrients · 2025Observational
- Article
- Prevalence and predictors of food insecurity among university students - Results from the Justus Liebig University Giessen, Germany.Preventive medicine reports · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Research related to food insecurity (FI) among European university student populations is currently limited, especially the studies carried out during the COVID-19 pandemic. The present study aimed to assess the prevalence and identify possible predictors of FI among students from a Spanish public university, the University of the Basque Country UPV/EHU, during the COVID-19 pandemic. A cross-sectional observational study design was used, in which a total of 422 students completed an online survey. Results were weighted according to age and field of education. Binary logistic regressions adjusted by sex, age, and campus were applied to identify FI predictors. FI in 19.6, 2.6, and 0.7% of the population was mild, moderate, and severe, respectively. The three main predictors of FI were a decrease in the main source of income (OR, 2.80; 95% IC, 2.57-3.06), not receiving scholarships during the pandemic (OR, 2.32; 95% IC, 2.18-2.47), and living arrangements before the pandemic (not living with parents/relatives) (OR, 2.03, 95% IC, 1.89-2.18). This study found a high prevalence of FI among the students surveyed, and the strongest predictors of this FI were related to socioeconomic status. A robust and comprehensive policy response is recommended to mitigate FI in this population.
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