Evidence map›Paper›PMID 32699458›Full record

ArticleRegional science and urban economics2020

Does Proximity to Fast Food Cause Childhood Obesity? Evidence from Public Housing.

Jeehee Han, Amy Ellen Schwartz, Brian Elbel

Open access · greenAbstract read
In one paragraph

Article in Regional science and urban economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Disparities of children's obesogenic environments in Louisiana.International journal of health geographics · 2026
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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 at 2 institutions in 1 country.

Jeehee HanSyracuse University.
Amy Ellen SchwartzSyracuse University.
Brian ElbelNew York University.
Syracuse University · USNew York University · US

Funding

Impact of the Built Environment on Child Body Mass IndexR01DK108682 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN, SCHWARTZ, AMY ELLEN · 2016 to 2019
$2.8M
Impact of the Food Environment on Child Body Mass Index - Resubmission - 1R01DK097347 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN · 2013 to 2016
$2.7M
The Impact of School Food Policy on Childhood ObesityR01HD070739 · NICHD · SYRACUSE UNIVERSITY · PI SCHWARTZ, AMY ELLEN · 2011 to 2014
$1.2M
NICHD NIH HHS R01 HD070739NIDDK NIH HHS R01 DK097347NIDDK NIH HHS R01 DK108682
6 · The paper itself

Abstract

We examine the causal link between proximity to fast food and the incidence of childhood obesity among low-income households in New York City. Using individual-level longitudinal data on students living in public housing linked to restaurant location data, we exploit the naturally occurring within-development variation in distance to fast food restaurants to estimate the impact of proximity on obesity. Since the assignment of households to specific buildings is based upon availability at the time of assignment to public housing, the distance between student residence and retail outlets-including fast food restaurants, wait-service restaurants, supermarkets, and corner stores-is plausibly random. Our credibly causal estimates suggest that childhood obesity increases with proximity to fast food, with larger effects for younger children who attend neighborhood schools.

Indexed as

child health and obesityfood environmentI12J13L83public housingR38urban neighborhoods

Identifiers

PMID32699458
PMCPMC7375416
OpenAlexW3025126280

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.