Evidence map›Paper›PMID 23667278›Full record

ArticleApplied geography (Sevenoaks, England)2013

Population-Adjusted Street Connectivity, Urbanicity and Risk of Obesity in the U.S.

Fahui Wang, Ming Wen, Yanqing Xu

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  12. State-Issued Identification Cards Reveal Patterns in Adult Weight Status.International journal of environmental research and public health · 2015
    Article
  13. Article
  14. Sociodemographic and environmental correlates of active commuting in rural America.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2015
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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.

Fahui WangDepartment of Geography & Anthropology, Louisiana State University ; School of Urban and Environmental Studies, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, China.
Ming Wen
Yanqing Xu

Funding

Neighborhood Built and Social Environment and Physical Activity and Weight StatusR01CA140319 · NCI · UNIVERSITY OF UTAH · PI WEN, MING · 2010 to 2014
$1.2M
NCI NIH HHS R01 CA140319
6 · The paper itself

Abstract

Street connectivity, defined as the number of (3-way or more) intersections per area unit, is an important index of built environments as a proxy for walkability in a neighborhood. This paper examines its geographic variations across the rural-urban continuum (urbanicity), major racial-ethnic groups and various poverty levels. The population-adjusted street connectivity index is proposed as a better measure than the regular index for a large area such as county due to likely concentration of population in limited space within the large area. Based on the data from the Behavioral Risk Factor Surveillance System (BRFSS), this paper uses multilevel modeling to analyze its association with physical activity and obesity while controlling for various individual and county-level variables. Analysis of data subsets indicates that the influences of individual and county-level variables on obesity risk vary across areas of different urbanization levels. The positive influence of street connectivity on obesity control is limited to the more but not the mostly urbanized areas. This demonstrates the value of obesogenic environment research in different geographic settings, helps us reconcile and synthesize some seemingly contradictory results reported in different studies, and also promotes that effective policies need to be highly sensitive to the diversity of demographic groups and geographically adaptable.

Indexed as

BRFSSbuilt environmentsobesityphysical activitypopulation-adjusted street connectivitythe U.S

Identifiers

PMID23667278
PMCPMC3647703

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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.