ArticleJournal of health, population, and nutrition2025
Identifying predictors for food insecurity in England: a cross-sectional database analysis.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Senescent obesity signature in breast cancer: a paradigm of reverse cardio-oncology.European heart journal · 2026Review
- Food Insecurity in Individuals with Eating Disorders: A UK-Wide Survey of Impact, Help-Seeking, and Suggestions for Guidance.Nutrients · 2026Article
- Food policy, practice and provision in UK early childhood education and care: a scoping review.Public health nutrition · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNutrition plays a significant role in non-communicable disease worldwide and is a modifiable risk factor. Food security is defined as the ability of a household or individual to afford and access sufficient healthy and nutritious food. Food insecurity rates in the UK are among the worst in Europe and rising food prices have disproportionately affected lower income households. We aimed to identify predictors for food insecurity in England using nationally representative data.
methodsWe conducted a database analysis on data collected in the 'Food and You 2: Wave 6' public cross-sectional dataset. Data were analysed from a mixed survey, collating 3,033 responses to the United Stated Department of Agriculture Household Food Security Survey Module, which defined food security status. We calculated risk ratios (RR) for food insecurity in relation to each independent variable, including sex, respondent age group, household size, presence of children in household, income, employment status, urban/rural living status, ethnicity, chronic conditions and Index of Multiple Deprivation (IMD).
results72.3% (n = 2,194) were food secure, 23.4% (n = 710) were food-insecure. Variables associated with increased food insecurity risk included all respondent age groups below 65 year old, household size of 5 or more, presence of children under 16 years and under 6 years, household income less than £64,000 per annum, unemployed individuals, students, Asian / Asian British and African / African British ethnicities, presence of one or more chronic conditions and IMD of 1.
conclusionsIn 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.
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