Evidence map›Paper›PMID 40443205›Full record

ArticleMaternal & child nutrition2025

The Association Between Urbanisation and Household Food Security in Nigeria.

Joseph B Ajefu, Michael Henry, Sabastine U Ugbaje

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Joseph B AjefuDepartment of Peace Studies and International Development, University of Bradford, Bradford, West Yorkshire, UK.ORCID 0000-0001-6333-3708
Michael HenryDepartment of Economics, Birmingham Business School, University of Birmingham, Birmingham, West Midlands, UK.
Sabastine U UgbajeSydney Informatics Hub, Moore College (CG2), The University of Sydney, Newton, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing number of studies have shown that urbanisation is commonly associated with a change in dietary or consumption patterns towards more expensive and exotic foods. Previous attempts to investigate the implications of urbanisation on household food security have commonly employed dichotomous or binary indicators of urbanisation. Unlike previous studies, we employ satellite-based night-time light intensity data from the US Air Force Defense Meteorological Satellites Programme and use it as a proxy for different stages or degrees of urbanisation. The night-time light data provide a continuous, spatially explicit, and objective proxy for urbanisation. The data are measured with consistent quality across countries, regardless of the different institutional capacities, allowing for consistent measurement of urban growth across various communities and regions. In our analysis, we explore the impact of variations in nightlight intensity on household food security in Nigeria. Our results show that night-time light is positively associated with household food security. However, we find that higher polynomial terms of night-time light intensity exhibit a nonlinear relationship between urbanisation and household food security. Based on the results, our findings will advance the current understanding of the relationship between urbanisation and household food security, which could have implications on maternal and child wellbeing.

Indexed as

Family CharacteristicsFood SecurityFood SupplyUrbanizationFemaleHumansNigeriaUrban Populationassociationfood securityhouseholdurbanisation

Identifiers

PMID40443205
PMCPMC12454200

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.