Evidence map›Paper›PMID 35010996›Full record

ArticleNutrients2021

Cross-Sectional Association of Food Source with Food Insecurity, Dietary Diversity and Body Mass Index in Western Kenya.

Elizabeth Olatunji, Charles Obonyo, Pamela Wadende, Vincent Were, Rosemary Musuva, Charles Lwanga, Eleanor Turner-Moss, Matthew Pearce, Ebele R I Mogo, Oliver Francis and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. 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
  3. Article
  4. Article
  5. Article
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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

11 authors.

Elizabeth OlatunjiMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.ORCID 0000-0002-1758-4976
Charles ObonyoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu 40100, Kenya.ORCID 0000-0003-0741-8533
Pamela WadendeFaculty of Education and Human Resources, Kisii University, Kisii 40200, Kenya.ORCID 0000-0003-0846-3977
Vincent WereCentre for Global Health Research, Kenya Medical Research Institute, Kisumu 40100, Kenya.ORCID 0000-0002-3554-795X
Rosemary MusuvaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu 40100, Kenya.
Charles LwangaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu 40100, Kenya.
Eleanor Turner-MossMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.
Matthew PearceMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.
Ebele R I MogoMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.
Oliver FrancisMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.
Louise FoleyMRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK.

Funding

National Institute for Health Research 16/137/64
6 · The paper itself

Abstract

The triple burden of malnutrition in many low- and middle-income countries (LMICs) is partly a result of changing food environments and a shift from traditional diets to high-calorie Western-style diets. Exploring the relationship between food sources and food- and nutrition-related outcomes is important to understanding how changes in food environments may affect nutrition in LMICs. This study examined associations of household food source with household food insecurity, individual dietary diversity and individual body mass index in Western Kenya. Interview-administered questionnaire and anthropometric data from 493 adults living in 376 randomly-selected households were collected in 2019. Adjusted regression analyses were used to assess the association of food source with measures of food insecurity, dietary diversity and body mass index. Notably, participants that reported rearing domesticated animals for consumption ('own livestock') had lower odds of moderate or severe household food insecurity (odds ratio (OR) = 0.29 (95% CI: 0.09, 0.96)) and those that reported buying food from supermarkets had lower odds of moderate or severe household food insecurity (borderline significant, OR = 0.37 (95% CI: 0.14, 1.00)), increased dietary diversity scores (Poisson coefficient = 0.17 (95% CI: 0.10, 0.24)) and higher odds of achieving minimum dietary diversity (OR = 2.84 (95% CI: 1.79, 4.49)). Our findings provide insight into the relationship between food environments, dietary patterns and nutrition in Kenya, and suggest that interventions that influence household food source may impact the malnutrition burden in this context.

Indexed as

Body Mass IndexFood InsecurityAdultAnimal HusbandryConsumer BehaviorCross-Sectional StudiesDietFamily CharacteristicsFemaleFood SupplyHumansKenyaMaleMalnutritionOdds RatioPoisson DistributionBMIbody mass indexdietary diversityfood insecurityfood securityfood sourceKenyamalnutritionnutritionsupermarkettriple burden of malnutrition

Identifiers

PMID35010996
PMCPMC8747304

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.