Evidence map›Paper›PMID 37179540›Full record

ArticleJournal of transport & health2019

Sampling Methodology and Reliability of a Representative Walkability Audit.

Emily N Ussery, John D Omura, Prabasaj Paul, John Orr, Chad Spoon, Carrie Geremia, Susan A Carlson

Abstract read
In one paragraph

Article in Journal of transport & health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emily N UsseryEpidemic Intelligence Service, Centers for Disease Control and Prevention, Center for Surveillance, Epidemiology, and Laboratory Services, Atlanta, Georgia.
John D OmuraEpidemic Intelligence Service, Centers for Disease Control and Prevention, Center for Surveillance, Epidemiology, and Laboratory Services, Atlanta, Georgia.
Prabasaj PaulCenters for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity, Physical Activity and Health Branch, Atlanta, Georgia.
John OrrUS Virgin Islands Department of Health, Christiansted, St. Croix, US Virgin Islands.
Chad SpoonUniversity of California at San Diego, Active Living Research, San Diego, California.
Carrie GeremiaUniversity of California at San Diego, Department of Family and Preventive Medicine, San Diego, California.
Susan A CarlsonCenters for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity, Physical Activity and Health Branch, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Background: Physical inactivity is a public health concern in the US Virgin Islands (USVI). A contributing factor may be a lack of pedestrian infrastructure and other environmental supports for walking. In this manuscript, we describe the methods used to conduct a walkability audit of environmental features related to physical activity in the USVI. Methods: In 2016, volunteer auditors conducted the audit using a modified version of the Microscale Audit of Pedestrian Streetscapes tool. A two-stage sampling method was developed using publicly available census data to select a sample of estates (n=46) and street segments (n=1,550; 99.2 km) across the USVI. A subset of segments was audited by two independent auditors, and inter-rater reliability was assessed using Cohen's kappa and percent agreement. Results: Audits were completed on 1,114 segments (94.6 km), and estimates were weighted to represent accessible public street length in the study area (1,155.9 km). Most items on the audit tool (62.7%) demonstrated good to excellent reliability. We found that it was feasible to conduct a reliable audit of environmental features related to physical activity across a large sample of streets in the USVI. Conclusions: These methods can be replicated in other settings to collect comprehensive data that can be used to guide strategies to improve the walkability of communities.

Indexed as

built environmentMicroscale Audit of Pedestrian Streetscapesphysical activityUS Virgin Islandswalkability audit

Identifiers

PMID37179540
PMCPMC10174213

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.