Evidence map›Paper›PMID 39600470›Full record

ArticleJournal of hunger & environmental nutrition2024

Geospatial Food Environment Exposure and Obesity Among Low Income Baltimore City Children: Associations Differ by Data Source and Processing Method.

Anna Y Kharmats, Anne E Corrigan, Frank C Curriero, Roni Neff, Laura Caulfield, Caitlin E Kennedy, Jessica Whitley, Jaleh S Montazer, Lu Hu, Joel Gittelsohn

Abstract read
In one paragraph

Article in Journal of hunger & environmental nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Anna Y KharmatsNew York University Grossman School of Medicine, Department of Population Health, Baltimore, MD.
Anne E CorriganJohns Hopkins University, Spatial Science for Public Health Center, Baltimore, MD.
Frank C CurrieroJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Department of Biostatistics, Baltimore, MD.
Roni NeffJohns Hopkins Bloomberg School of Public Health, Department of Environmental Health and Engineering, Department of Health Policy and Management, Baltimore, MD.
Laura CaulfieldJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD.
Caitlin E KennedyJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD.
Jessica WhitleyJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jaleh S MontazerUniversity of Maryland School of Public Health, Department of Health Policy and Management, College Park, Maryland.
Lu HuNew York University Grossman School of Medicine, Department of Population Health, Baltimore, MD.
Joel GittelsohnJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD.

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WANG, YOUFA · 2011 to 2016
$15.9M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Mentoring URM Scientists in Behavioral and Cardiovascular Health to Increase Academic Workforce DiversityT32HL129953 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OGEDEGBE, OLUGBENGA G. · 2017 to 2021
$1.7M
Multilevel Communications and access strategies to improve the food environmentR21HL102812 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GITTELSOHN, JOEL · 2011 to 2012
$451k
NHLBI NIH HHS R21 HL102812NHLBI NIH HHS R25 HL105444NHLBI NIH HHS T32 HL129953NICHD NIH HHS U54 HD070725
6 · The paper itself

Abstract

Due to the high prevalence of childhood obesity, it is imperative to assess the relationship children's access to food retailers and obesity. However, the influence of methodological decisions on these associations has been understudied. We examined relationships between different measures of geospatial food environment (using 4 data sources, and 2 data processing methods), and BMI in a sample of low-income children in Baltimore, Maryland. The choice of data sources and data processing methods produced large differences in estimates of children's exposures to certain store types, such as supermarket-like stores, but had less impact on associations with BMI z-scores.

Indexed as

Center for a Livable Futurechildhood obesityCLFFood environmentfood retailer data sourcesgeospatial food accessMarylandobesityReference USASNAP

Identifiers

PMID39600470
PMCPMC11588286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.