Evidence map›Paper›PMID 33509435›Full record

ArticleSpatial and spatio-temporal epidemiology2021

Linking historical discriminatory housing patterns to the contemporary food environment in Baltimore.

Richard C Sadler, Usama Bilal, C Debra Furr-Holden

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
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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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Richard C SadlerAssistant Professor, Division of Public Health/Department of Family Medicine, Michigan State University, United States. Electronic address: sadlerr@msu.edu.
Usama BilalAssistant Professor, Department of Epidemiology and Biostatistics, Drexel University, United States.
C Debra Furr-HoldenC.S. Mott Endowed Professor, Division of Public Health, Michigan State University, United States.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
The Legacy Effects of Discriminatory Housing Policies on Community Availability of AlcoholR21AA026674 · NIAAA · MICHIGAN STATE UNIVERSITY · PI SADLER, RICHARD CASEY · 2019 to 2020
$407k
NIAAA NIH HHS R21 AA026674NIH HHS DP5 OD026429
6 · The paper itself

Abstract

Food access literature links disinvested communities with poor food access. Similarly, links are made between discriminatory housing practices and contemporary investment. Less work has examined the relationship between housing practices and food environment disparities. Our central premise is that these practices create distinctions in food environment quality, and that these disparities may have implications for food system advocacy and policymaking. In this paper, we link an objective food environment assessment with a spatial database highlighting redlining, blockbusting, and gentrification in Baltimore, Maryland, USA. Standard socioeconomic and housing characteristics are used to control for race, income, and housing composition in a multivariate regression analysis. Our findings highlight that blockbusting-rather than redlining-most strongly shapes poor food access. Redlining and gentrification, meanwhile, are associated with better food access. These findings raise important points about future policy discussions, which should instead be focused on ameliorating more contemporary patterns of housing inequality.

Indexed as

HousingResidence CharacteristicsBaltimoreHumansBlockbustingFood accessFood environmentsGentrificationGISRedlining

Identifiers

PMID33509435
PMCPMC7846820

What OpenQuestion holds

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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.