Evidence map›Paper›PMID 36222974›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

Food Vendors and the Obesogenic Food Environment of an Informal Settlement in Nairobi, Kenya: a Descriptive and Spatial Analysis.

Kyle R Busse, Rasheca Logendran, Mercy Owuor, Hillary Omala, Erick Nandoya, Alice S Ammerman, Stephanie L Martin

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. 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

7 authors at 1 institution in 2 countries.

Kyle R BusseDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. kybusse@live.unc.edu.ORCID 0000-0002-1892-4194
Rasheca LogendranDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
Mercy OwuorCFK Africa, P.O. Box 10763-00100, Nairobi, Kenya.
Hillary OmalaCFK Africa, P.O. Box 10763-00100, Nairobi, Kenya.
Erick NandoyaCFK Africa, P.O. Box 10763-00100, Nairobi, Kenya.
Alice S AmmermanDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
Stephanie L MartinDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Global Cardiometabolic Disease TrainingT32HL129969 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2016 to 2025
$2.1M
NHLBI NIH HHS 5T32HL129969NHLBI NIH HHS T32 HL129969NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Food environments of urban informal settlements are likely drivers of dietary intake among residents of such settlements. Yet, few attempts have been made to describe them. The objective of this study was to characterize the food environment of a densely-populated informal settlement in Nairobi, Kenya according to the obesogenic properties and spatial distribution of its food vendors. In July-August 2019, we identified food vendors in the settlement and classified them into obesogenic risk categories based on the types of food that they sold. We calculated descriptive statistics and assessed clustering according to obesogenic risk using Ripley's K function. Foods most commonly sold among the 456 vendors in the analytic sample were sweets/confectionary (29% of vendors), raw vegetables (28%), fried starches (23%), and fruits (21%). Forty-four percent of vendors were classified as low-risk, protective; 34% as high-risk, non-protective; 16% as low-risk, non-protective; and 6% as high-risk, protective. The mean distance (95% confidence interval) to the nearest vendor of the same obesogenic risk category was 26 m (21, 31) for vendors in the low-risk, protective group; 29 m (25, 33) in the high-risk, non-protective group; 114 m (88, 139) in the high-risk, protective group; and 43 m (30, 56) in the low-risk, non-protective group. Clustering was significant for all obesogenic risk groups except for the high-risk, protective. Our findings indicate a duality of obesogenic and anti-obesogenic foods in this environment. Clustering of obesogenic foods highlights the need for local officials to take action to increase access to health-promoting foods throughout informal settlements.

Indexed as

FoodHumansKenyaRisk FactorsSpatial AnalysisGISNutrition transitionSlumsUltra-processed food

Identifiers

PMID36222974
PMCPMC9918652
OpenAlexW4304694488

What OpenQuestion holds

Textmetadata
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.