Evidence map›Paper›PMID 31605806›Full record

ArticlePublic health2020

Road network intersection density and childhood obesity risk in the US: a national longitudinal study.

H Xue, X Cheng, P Jia, Y Wang

Abstract read
In one paragraph

Article in Public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. The built environment as determinant of childhood obesity: A systematic literature review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
  2. Pooled it
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  8. Review
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  12. Neighborhood sidewalk access and childhood obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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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

4 authors.

H XueDepartment of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: hong.xue@vcuhealth.org.
X ChengDepartment of Geography, University at Buffalo, State University of New York, Buffalo, NY, USA.
P JiaGeoHealth Initiative, Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands; International Initiative on Spatial Lifecourse Epidemiology (ISLE), University of Twente, Enschede, the Netherlands.
Y WangSystems-oriented Global Childhood Obesity Intervention Program, Fisher Institute of Health and Well-being, and Department of Nutrition and Health Science, College of Health, Ball State University, Muncie, IN, USA.

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI GITTELSOHN, JOEL · 2011 to 2016
$15.9M
Causes and Interventions for Childhood Obesity:Innovative Systems AnalysisR01HD064685 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WANG, YOUFA · 2010 to 2013
$1.2M
NCATS NIH HHS UL1 TR002649NICHD NIH HHS R01 HD064685NICHD NIH HHS U54 HD070725
6 · The paper itself

Abstract

objectivesRoad intersection density is an important indicator of walkability. The objectives of this study were to examine the trends in intersection density in the US from 2007 to 2011 and assess the associations between intersection density and childhood obesity risk at the state level. STUDY

designLongitudinal analyses were conducted to assess the spatial-temporal changes of population-weighted intersection density in relation to the risk of childhood obesity in the US.

methodsRoad network data from the Topologically Integrated Geographic Encoding and Referencing (TIGER) (2007-2011), the prevalence of overweight and obesity data from the National Survey of Children's Health (NSCH) (2007-2011), and the American Community Survey (ACS) (2011) were used. Geographic information system (GIS) visualization and spatial and regression analyses were conducted. Mixed-effect models were fit to assess the longitudinal relationship between intersection density and childhood obesity.

resultsBetween 2007 and 2011, population-weighted intersection density remained relatively stable in most states. Low-intersection-density states were clustered in the Southeastern region in both 2007 and 2011. The high-intersection-density states were clustered in the Middle Atlantic Division. California and Nevada also were identified as high-intersection-density clusters in 2011. States with lower road intersection density corresponded with states with higher childhood obesity prevalence. Our mixed-effect model estimates suggested that increased intersection density was associated with decreased obesity prevalence.

conclusionsThis study provided empirical evidence for longitudinal associations between neighborhood intersection density and childhood obesity prevalence based on national data and offered a new perspective of the role that road network plays in childhood obesity prevention.

Indexed as

AdolescentBuilt EnvironmentChildFemaleHumansLongitudinal StudiesMalePediatric ObesityPrevalenceResidence CharacteristicsRisk AssessmentUnited StatesWalkingChildhood obesityGeographic information systemNeighborhood environmentSpatial analysisWalkability

Identifiers

PMID31605806
PMCPMC6994342

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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.