Evidence map›Paper›PMID 38803547›Full record

ArticleLancet regional health. Americas2024

Association between density of food retailers and fitness centers and gestational diabetes mellitus in Eastern Massachusetts, USA: population-based study.

Matthew Shupler, Jochem O Klompmaker, Michael Leung, Joshua Petimar, Jean-Philippe Drouin-Chartier, Anna M Modest, Michele Hacker, Huma Farid, Peter James, Sonia Hernandez-Diaz and 1 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Matthew ShuplerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Jochem O KlompmakerDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Michael LeungDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Joshua PetimarDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Jean-Philippe Drouin-ChartierInstitute of Nutrition and Functional Foods, Université Laval, Quebec, Canada.
Anna M ModestDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, USA.
Michele HackerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Huma FaridDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, USA.
Peter JamesDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Sonia Hernandez-DiazDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Stefania PapatheodorouDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
A national study on the effects of air pollution and temperature on children's neurodevelopmental outcomesR01ES034038 · NIEHS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Stefania Papatheodorou · 2023 to 2026
$2.8M
The Training Program in Reproductive, Perinatal, and Pediatric Life Course EpidemiologyT32HD104612 · NICHD · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Sonia Hernandez-Diaz, Henning Tiemeier · 2021 to 2026
$2.2M
NICHD NIH HHS T32 HD104612NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES034038
6 · The paper itself

Abstract

Background: Few studies have investigated the relationship between the food and physical activity environment and odds of gestational diabetes mellitus (GDM). This study quantifies the association between densities of several types of food establishments and fitness centers with the odds of having GDM. Methods: The density of supermarkets, fast-food restaurants, full-service restaurants, convenience stores and fitness centers at 500, 1000 and 1500 m (m) buffers was counted at residential addresses of 68,779 pregnant individuals from Eastern Massachusetts during 2000-2016. The 'healthy food index' assessed the relative availability of healthy (supermarkets) vs unhealthy (fast-food restaurants, convenience stores) food retailers. Multivariable logistic regression quantified the cross-sectional association between exposure variables and the odds of having GDM, adjusting for individual and area-level characteristics. Effect modification by area-level socioeconomic status (SES) was assessed. Findings: In fully adjusted models, pregnant individuals living in the highest density tertile of fast-food restaurants had higher GDM odds compared to those living in the lowest density tertile (500 m: odds ratio (OR):1.17 95% CI: [1.04, 1.31]; 1000 m: 1.33 95% CI: [1.15, 1.53]); 1500 m: 1.18 95% CI: [1.01, 1.38]). Greater residential density of supermarkets was associated with lower odds of GDM (1000 m: 0.86 95% CI: [0.74, 0.99]; 1500 m: 0.86 95% CI: [0.72, 1.01]). Similarly, living in the highest fitness center density tertile was associated with decreased GDM odds (500 m:0.87 95% CI: [0.76, 0.99]; 1500 m: 0.89 95% CI: [0.79, 1.01]). There was no evidence of effect modification by SES and no association found between the healthy food index and GDM odds. Interpretation: In Eastern Massachusetts, living near a greater density of fast-food establishments was associated with higher GDM odds. Greater residential access to supermarkets and fitness centers was associated with lower the odds of having GDM. Funding: NIH.

Indexed as

Fast-food restaurantFitness centerFood environmentFull-service restaurantGestational diabetes mellitusSupermarket

Identifiers

PMID38803547
PMCPMC11128511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.