Evidence map›Paper›PMID 34168951›Full record

ArticlePreventive medicine reports2021

Crime and physical activity measures from the SAFE and Fit Environments Study (SAFE): Psychometric properties across age groups.

Scott C Roesch, Christina M Patch, Caterina G Roman, Terry L Conway, Ralph B Taylor, Brian E Saelens, Marc A Adams, Kelli L Cain, Loki Natarajan, James F Sallis

Abstract read
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In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Scott C RoeschDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Christina M PatchUniversity of California, San Diego (Department of Family Medicine and Public Health) and San Diego State University (Department of Public Health), Joint Doctoral Program in Public Health, San Diego, CA, USA.
Caterina G RomanDepartment of Criminal Justice, Temple University, Philadelphia, PA, USA.
Terry L ConwayDepartment of Family Medicine and Public Health, University of California, San Diego, CA, USA.
Ralph B TaylorDepartment of Criminal Justice, Temple University, Philadelphia, PA, USA.
Brian E SaelensDepartment of Pediatrics and Psychiatry & Behavioral Sciences, Center for Chld Health, Behavior, and Development, University of Washington & Seattle Children's Research Institute, Seattle, WA, USA.
Marc A AdamsCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.
Kelli L CainDepartment of Family Medicine and Public Health, University of California, San Diego, CA, USA.
Loki NatarajanDivision of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California San Diego, CA, USA.
James F SallisDepartment of Family Medicine and Public Health, University of California, San Diego, CA, USA.

Funding

WalkIT: Neighborhood walkability and moderation of adaptive walking interventionsR01CA198915 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ADAMS, MARC A · 2015 to 2019
$2.8M
NCI NIH HHS R01 CA198915
6 · The paper itself

Abstract

Valid and reliable measures are needed to better understand the relationship between physical activity and crime. This paper provides a comprehensive psychometric evaluation of measures developed in the Safe and Fit Environments (SAFE) Study to assess a crime-PA conceptual framework. In addition to assessing the basic psychometric properties of each measure (e.g., variable distributions [item/scale level], internal consistency reliability), this study formally examined the measurement validity and invariance of measures across four age groups using confirmatory factor analysis. The sample (n = 2173) included 336 Adolescents (aged 12-17), 532 Young adults (aged 18-39), 838 Middle Age Adults, and 467 Older Adults (aged 66+). The psychometric evaluation of (sub)scales showed consistent factorial validity and internal consistency reliability across the majority of the measures and across the four age groups. Specifically, 14 of the 17 measures displayed statistically and practically significant factor loadings and internal consistency values in the overall sample and across the age groups. The pattern of correlations for each (sub)scale with other (sub)scales/indexes largely did not exhibit redundancy across measures. The findings expanded upon the test-retest reliability evaluation reported in Patch et al. (2019), and clarified key aspects of the construct validity of these indicators. The latter bodes well for potential utility of these indicators in future predictive models.

Indexed as

AgeCrimeMeasurementPhysical activityPsychometrics

Identifiers

PMID34168951
PMCPMC8207462

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LicenceCC BY
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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.