Identifying predictors for food insecurity in England: a cross-sectional database analysis
In this analysis of nationally representative data, age, household size, presence of children, income, employment status, ethnicity and IMD were all associated with significantly increased risk for food insecurity. Further work is required to understand the relationship between these variables and food security in order to develop screening tools to identify those at highest risk of food insecurity in the population. This will help facilitate the effective provision of support to those who need it the most.
Authors
- Hein Heuvelman (ORCID: https://orcid.org/0000-0002-4662-7533)
- A. A. W. Stanley
- Yousif Hadi
- David Newbold
- Anton Krige
Institutions
- University of Liverpool (GB)
- University of Lancashire (GB)
- Blackburn College (GB)
- East Lancashire Hospitals NHS Trust (GB)
Publication Details
- Journal
- Journal of Health Population and Nutrition
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1186/s41043-025-00801-w
- Citations
- 4
- Primary Topic
- Food Security and Health in Diverse Populations
- Type
- article
- Field-Weighted Citation Impact
- 11.26