Evidence map›Paper›PMID 35701807›Full record

ArticleBMC public health2022

Navigating the local foodscape: qualitative investigation of food retail and dietary preferences in Kisumu and Homa Bay Counties, western Kenya.

Rosemary M Musuva, Louise Foley, Pamela Wadende, Oliver Francis, Charles Lwanga, Eleanor Turner-Moss, Vincent Were, Charles Obonyo

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 2 countries.

Rosemary M MusuvaCenter for Global Health Research, Kenya Medical Research Institute, P. O. Box 1578, Kisumu, 40100, Kenya. rmusuva.m@gmail.com.
Louise FoleyMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, P.O Box 285, Cambridge, CB2 0QQ, UK.
Pamela WadendeFaculty of Education and Human Resources, Kisii University, PO Box 408, Kisii, 40200, Kenya.
Oliver FrancisMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, P.O Box 285, Cambridge, CB2 0QQ, UK.
Charles LwangaAdaptive Management and Research Consultants (AMREC) Africa, P.O Box 5022, Kisumu, 40141, Kenya.
Eleanor Turner-MossMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, P.O Box 285, Cambridge, CB2 0QQ, UK.
Vincent WereCenter for Global Health Research, Kenya Medical Research Institute, P. O. Box 1578, Kisumu, 40100, Kenya.
Charles ObonyoCenter for Global Health Research, Kenya Medical Research Institute, P. O. Box 1578, Kisumu, 40100, Kenya.
Kenya Medical Research Institute · KEUniversity of Cambridge · GBKisii University · KEMRC Epidemiology Unit · GB

Funding

Department of Health
6 · The paper itself

Abstract

introductionNon-communicable diseases have risen markedly over the last decade. A phenomenon that was mainly endemic in high-income countries has now visibly encroached on low and middle-income settings. A major contributor to this is a shift towards unhealthy dietary behavior. This study aimed to examine the complex interplay between people's characteristics and the environment to understand how these influenced food choices and practices in Western Kenya.

methodsThis study used semi-structured guides to conduct in-depth interviews and focus group discussions with both male and female members of the community, across various socioeconomic groups, from Kisumu and Homa Bay Counties to further understand their perspectives on the influences of dietary behavior. Voice data was captured using digital voice recorders, transcribed verbatim, and translated to English. Data analysis adopted an exploratory and inductive analysis approach. Coded responses were analyzed using NVIVO 12 PRO software.

resultsIntrapersonal levels of influence included: Age, the nutritional value of food, occupation, perceived satiety of some foods as opposed to others, religion, and medical reasons. The majority of the participants mentioned location as the main source of influence at the community level reflected by the regional staple foodscape. Others include seasonality of produce, social pressure, and availability of food in the market. Pricing of food and distance to food markets was mentioned as the major macro-level influence. This was followed by an increase in population and road infrastructure.

conclusionThis study demonstrated that understanding dietary preferences are complex. Future interventions should not only consider intrapersonal and interpersonal influences when aiming to promote healthy eating among communities but also need to target the community and macro environments. This means that nutrition promotion strategies should focus on multiple levels of influence that broaden options for interventions. However, government interventions in addressing food access, affordability, and marketing remain essential to any significant change.

Indexed as

CommerceDietFood PreferencesFemaleHumansKenyaMaleQualitative ResearchDietary preferenceEcological modelFoodscapeNon-communicable diseasesWestern Kenya

Identifiers

PMID35701807
PMCPMC9199252
OpenAlexW4282943238

What OpenQuestion holds

Textmetadata
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.