Evidence map›Paper›PMID 23481250›Full record

ArticleSpatial and spatio-temporal epidemiology2013

Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial.

Dawn K Wilson, Caitlyn Ellerbe, Andrew B Lawson, Kassandra A Alia, Duncan C Meyers, Sandra M Coulon, Hannah G Lawman

Open access · greenAbstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Dawn K WilsonUniversity of South Carolina, Psychology Department, Barnwell College, Columbia, SC 29208, United States. wilsondk@mailbox.sc.edu
Caitlyn Ellerbe
Andrew B Lawson
Kassandra A Alia
Duncan C Meyers
Sandra M Coulon
Hannah G Lawman
University of South Carolina · USMedical University of South Carolina · US

Funding

Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
Improving safety and access for physical activity supplementR01DK067615 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILSON, DAWN K · 2007 to 2010
$3.2M
Social, Genetic Determinants of Blood Pressure in Underserved African AmericansF31AG039930 · NIA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COULON, SANDRA MARIE · 2011 to 2013
$85k
NIA NIH HHS F31 AG039930NIDDK NIH HHS R01 DK067615NIDDK NIH HHS R01 DK067615-03S1A1NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

backgroundThis study examined imputational modeling effects of spatial proximity and social factors of walking in African American adults. PURPOSE: Models were compared that examined relationships between household proximity to a walking trail and social factors in determining walking status.

methodsParticipants (N=133; 66% female; mean age=55 years) were recruited to a police-supported walking and social marketing intervention. Bayesian modeling was used to identify predictors of walking at 12 months.

resultsSensitivity analysis using different imputation approaches, and spatial contextual effects, were compared. All the imputation methods showed social life and income were significant predictors of walking, however, the complete data approach was the best model indicating Age (1.04, 95% OR: 1.00, 1.08), Social Life (0.83, 95% OR: 0.69, 0.98) and Income <$10,000 (0.10, 95% OR: 0.01, 0.97) were all predictors of walking.

conclusionsThe complete data approach was the best model of predictors of walking in African Americans.

Indexed as

Black or African AmericanModels, StatisticalResidence CharacteristicsSocial EnvironmentFemaleHumansMaleMiddle AgedMotor ActivitySpatial AnalysisVulnerable PopulationsWalking

Identifiers

PMID23481250
PMCPMC3659787
OpenAlexW2014511367

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.