Evidence map›Paper›PMID 42529527›Full record

ArticleJournal of transport & health2018

Residence in Unsafe Neighborhoods is Associated with Active Transportation Among Poor Women: Geographic Research on Wellbeing (GROW) Study.

Rebecca E Lee, Yeonwoo Kim, Catherine Cubbin

Abstract read
In one paragraph

Article in Journal of transport & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Neighborhood Economic Changes After the Great Recession and Home Food Environments.Health education & behavior : the official publication of the Society for Public Health Education · 2019
    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.

Rebecca E LeeProfessor, Center for Health Promotion and Disease Prevention, College of Nursing & Health Innovation, Arizona State University, 550 N 3 Street, Phoenix, AZ 85004, USA.
Yeonwoo KimSchool of Social Work, University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX 78712, USA.
Catherine CubbinProfessor & Associate Dean for Research, School of Social Work, Faculty Research Associate, Population Research Center, University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX 78712, USA.

Funding

Partnering for PA in Early Childhood: Sustainability via Active Garden EducationU01MD010667 · NIMHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LEE, REBECCA ELIZABETH · 2016 to 2020
$2.4M
NIMHD NIH HHS U01 MD010667
6 · The paper itself

Abstract

This study investigated associations of neighborhood context with active transportation among women with children after controlling for sociodemographic variables. We used data from the Geographic Research on Wellbeing study (GROW). In 2012-2013, GROW surveyed mothers who participated in California's Maternal and Infant Health Assessment. The dependent variable was active vs. inactive transportation. Mothers were coded as doing active transportation if they responded that they "walked," "walked and took public transportation," or 'rode a bike," to most places they went in the previous 7 days, and were coded as doing inactive transportation if they responded that they "drove" any kind of vehicle or "got rides from someone else." The independent variables were neighborhood-level (census tract) poverty, income inequality, and perceived neighborhood safety. Using a stratified sample of poor or near-poor (≤200% of the federal poverty level,

Indexed as

Active transportationExerciseMinority healthMothersPovertySafety

Identifiers

PMID42529527
PMCPMC13417619

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.