Evidence map›Paper›PMID 32655214›Full record

ArticleJournal of transport geography2020

Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach.

Jingjing Li, Amy H Auchincloss, Yong Yang, Daniel A Rodriguez, Brisa N Sánchez

Abstract read
In one paragraph

Article in Journal of transport geography, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

5 authors.

Jingjing LiUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7 Floor, Philadelphia, PA 19104, USA.
Amy H AuchinclossUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7 Floor, Philadelphia, PA 19104, USA.
Yong YangDivision of Social and Behavioral Sciences, School of Public Health, University of Memphis, 203 Robison Hall, Memphis, TN, 38152.
Daniel A RodriguezDepartment of City & Regional Planning and Institute for Transportation Studies, University of California Berkeley, 230 Wurster Hall, Berkeley, CA 94720, USA.
Brisa N SánchezDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St. Philadelphia, PA 19104, USA.

Funding

Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2003 to 2013
$4.8M
Characterizing health impacts of built environment features using complex dataR01HL131610 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SANCHEZ, BRISA N · 2017 to 2021
$3.6M
NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01 HL131610
6 · The paper itself

Abstract

In studies of neighborhood effects on transport walking, residential preferences along with other personal characteristics (walking attitude, factors that affect decision to walk for transport) are important factors to consider. However, few studies have examined relationships between neighborhood characteristics and transport walking accounting for a complex suite of personal factors. This study employed a structural equation modeling approach to examine associations between neighborhood characteristics and transport walking behaviors by accounting for residential preferences, self-assessed factors that affect decision to walk for transportation, and socio-demographics; and to examine whether neighborhood effects were modified by walking attitude and residential preferences. Based on a cross-sectional phone and mail survey of 2,848 residents of New York City, Baltimore, Chicago, Los Angeles, St. Paul, and Winston Salem in 2011-12, we found neighborhood characteristics had significant independent associations with transport walking, even after adjusting for residential preferences and other personal factors. Neighborhood effects on transport walking did not differ significantly by walking attitude or residential preferences. Our findings highlight the importance of neighborhood effects in promoting transport walking, and suggest that while residential preferences are important factors, they do not obviate the neighborhood effects on transport walking.

Indexed as

neighborhood effectsresidential self-selectionstructural equation modelingtransport walkingwalking attitude

Identifiers

PMID32655214
PMCPMC7351081

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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.