Evidence map›Paper›PMID 40022274›Full record

ArticleJournal of health, population, and nutrition2025

Identifying predictors for food insecurity in England: a cross-sectional database analysis.

Adam K Stanley, Yasir Hadi, David Newbold, Hein Heuvelman, Anton Krige

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adam K StanleyEast Lancashire NHS Hospitals Trust, Blackburn, UK. Adam.stanley@elht.nhs.uk.
Yasir HadiFaculty of Public Health, Blackburn with Darwen Borough Council, Blackburn, UK.
David NewboldThe University of Liverpool, Liverpool, UK.
Hein HeuvelmanThe University of Liverpool, Liverpool, UK.
Anton KrigeEast Lancashire NHS Hospitals Trust, Blackburn, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Food InsecurityFood SupplyAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesDatabases, FactualEnglandFamily CharacteristicsFemaleHumansIncomeInfantMaleFood insecurityFood povertyFood securityInequalityInequityNutrition

Identifiers

PMID40022274
PMCPMC11871808

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.