Evidence map›Paper›PMID 25460907›Full record

ArticleHealth & place2014

An ecological analysis of environmental correlates of active commuting in urban U.S.

Jessie X Fan, Ming Wen, Lori Kowaleski-Jones

Abstract read
In one paragraph

Article in Health & place, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Urban Trees and Human Health: A Scoping Review.International journal of environmental research and public health · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Urban Sprawl and Health Outcome Associations in Sicily.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. Article
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.

Jessie X FanDepartment of Family and Consumer Studies, University of Utah, 225 S 1400 E AEB 228, Salt Lake City, UT 84112-0080, United States. Electronic address: fan@fcs.utah.edu.
Ming WenDepartment of Sociology, University of Utah, 380 S 1530 E Rm 301, Salt Lake City, UT 84112-0250, United States. Electronic address: ming.wen@soc.utah.edu.
Lori Kowaleski-JonesDepartment of Family and Consumer Studies, University of Utah, 225 S 1400 E AEB 228, Salt Lake City, UT 84112-0080, United States. Electronic address: lk2700@fcs.utah.edu.

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 CA140319NCI NIH HHS R01CA140319-01A1
6 · The paper itself

Abstract

We conduct a cross-sectional ecological analysis to examine environmental correlates of active commuting in 39,660 urban tracts using data from the 2010 Census, 2007-2011 American Community Survey, and other sources. The five-year average (2007-2011) prevalence is 3.05% for walking, 0.63% for biking, and 7.28% for public transportation to work, with higher prevalence for all modes in lower-income tracts. Environmental factors account for more variances in public transportation to work but economic and demographic factors account for more variances in walking and biking to work. Population density, median housing age, street connectivity, tree canopy, distance to parks, air quality, and county sprawl index are associated with active commuting, but the association can vary in size and direction for different transportation mode and for higher-income and lower-income tracts.

Indexed as

Environment DesignUrban PopulationAdultCross-Sectional StudiesHumansMaleMiddle AgedSurveys and QuestionnairesTransportationUnited StatesWalkingYoung AdultActive commutingActive transportationBiking to workPublic transportationWalking to work

Identifiers

PMID25460907
PMCPMC4262633

What OpenQuestion holds

Textmetadata
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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.