Evidence map›Paper›PMID 36778539›Full record

ArticleFrontiers in public health2023

Socioeconomic inequalities in food purchasing practices and expenditure patterns: Results from a cross-sectional household survey in western Kenya.

Vincent Were, Louise Foley, Rosemary Musuva, Matthew Pearce, Pamela Wadende, Charles Lwanga, Ebele Mogo, Eleanor Turner-Moss, Charles Obonyo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessing Market Food Diversity of Three Food Environments of Nairobi, Kenya, Using Spatial and Descriptive Analyses.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  4. Article
  5. Article
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

9 authors at 4 institutions in 2 countries.

Vincent WereCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Louise FoleyMedical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Rosemary MusuvaCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Matthew PearceMedical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Pamela WadendeSchool of Education and Human Resource Development, Kisii University, Kisii, Kenya.
Charles LwangaCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Ebele MogoMedical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Eleanor Turner-MossMedical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Charles ObonyoCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Kenya Medical Research Institute · KEMedical Research Council · GBMRC Epidemiology Unit · GBKisii University · KE

Funding

Department of Health 16/137/64
6 · The paper itself

Abstract

Introduction: Socioeconomic inequalities contribute to poor health. Inequitable access to diverse and healthy foods can be a risk factor for non-communicable diseases, especially in individuals of low socioeconomic status. We examined the extent of socioeconomic inequalities in food purchasing practices, expenditure, and consumption in a resource-poor setting in Kenya. Methods: We conducted a secondary analysis of baseline cross-sectional data from a natural experimental study with a sample size of 512 individuals from 376 households in western Kenya. Data were collected on household food sources, expenditure and food consumption. Household socioeconomic status (SES) was assessed using the multiple correspondence analysis (MCA) model. Concentration indices (Ci) and multivariable linear regression models were used to establish socioeconomic inequalities. Results: About half (47.9%) of individuals achieved a minimum level of dietary diversity with the majority coming from wealthier households. The two most consumed food groups were grains and roots (97.5%, Conclusion: Wealthier households spent more money on food compared to the poorest households, especially on buying food at supermarkets. Individuals from the poorest households were dominant in eating grains and roots and less likely to consume a variety of food groups, including pulses, dairy, eggs and fruits, and vegetables. Individuals from the poorest households were also less likely to achieve adequate dietary diversity. Deliberate policies on diet and nutrition are required to address socioeconomic inequalities in food purchasing practices.

Indexed as

Family CharacteristicsHealth ExpendituresCross-Sectional StudiesHumansKenyaSocial ClassVegetablesconsumptiondietexpenditurefoodinequalitiesKenyapurchasesocioeconomic

Identifiers

PMID36778539
PMCPMC9909229
OpenAlexW4318052995

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.