Evidence map›Paper›PMID 42853524›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

An Ecological Study of Neighborhood Food Retail Environment and Obesity Prevalence in Urban Slums of Bhopal, India.

Yogesh Damodar Sabde, Vikas Yadav, Tanwi Trushna, Uday Kumar Mandal, Abhijit P Pakhare, Sanjeev Kumar, Ankur Joshi, Rajnish Joshi, Rajnarayan R Tiwari

Abstract read
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Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2026. 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

9 authors.

Yogesh Damodar SabdeICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, India.
Vikas YadavICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, India. drvikasyadav@gmail.com.ORCID http://orcid.org/0000-0002-0435-3386
Tanwi TrushnaICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, India.
Uday Kumar MandalICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, India.
Abhijit P PakhareAll India Institute of Medical Sciences (AIIMS), Bhopal, India.
Sanjeev KumarAll India Institute of Medical Sciences (AIIMS), Bhopal, India.
Ankur JoshiAll India Institute of Medical Sciences (AIIMS), Bhopal, India.
Rajnish JoshiAll India Institute of Medical Sciences (AIIMS), Bhopal, India.
Rajnarayan R TiwariICMR National Institute for Research in Environmental Health (ICMR-NIREH), Bhopal, India.

Funding

Indian Council of Medical Research 65/3/YS/NIREH/2019-NCD-IIIndian Council of Medical Research IRIS-2014-0976
6 · The paper itself

Abstract

Neighborhood food retail environments influence dietary behaviors and obesity, yet evidence from urban slums in low- and middle-income countries remains limited. This ecological cross-sectional study examined the association between neighborhood food retail environment density and cluster-level obesity prevalence among adults residing in urban slums of Bhopal, India. Thirty-two slum clusters were randomly selected from 389 recognized slums and 6,134 adults aged ≥ 30 years were enrolled. neighborhoods were defined as 400-m road-network service areas surrounding each cluster. Geographic Information System (GIS)-based mapping was used to determine the density of fresh fruit and vegetable shops, fresh animal-source food shops, chips and chocolate shops and ready-to-eat food shops. Cluster-level obesity prevalence (BMI ≥ 30 kg/m

Indexed as

Ecological studyFood environmentGeographic information systemsIndiaObesityUrban slums

Identifiers

PMID42853524

What OpenQuestion holds

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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.