Evidence map›Paper›PMID 31159164›Full record

Observational studyInternational journal of environmental research and public health2019

Validation of the Block Walk Method for Assessing Physical Activity occurring on Sidewalks/Streets.

Richard R Suminski, Gregory M Dominick, Eric Plautz

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2019. 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
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  5. 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.

Richard R SuminskiCenter for Innovative Health Research, Department of Behavioral Health and Nutrition, University of Delaware, Newark, DE, 19726, USA. suminski@udel.edu.ORCID 0000-0001-9401-8620
Gregory M DominickDepartment of Behavioral Health and Nutrition, University of Delaware, Newark, DE, 19726, USA. gdominic@udel.edu.
Eric PlautzDepartment of Behavioral Health and Nutrition, University of Delaware, Newark, DE, 19726, USA. eaplautz@udel.edu.

Funding

NIH HHS (1 R21 HL143553-01 )
6 · The paper itself

Abstract

The block walk method (BWM) is one of the more common approaches for assessing physical activity (PA) performed on sidewalks/streets; however, it is non-technical, labor-intensive, and lacks validation. This study aimed to validate the BWM and examine the potential for using a wearable video device (WVD) to assess PA occurring on sidewalks/streets. Trained observers (one wearing and one not wearing the WVD) walked together and performed the BWM according to a previously developed protocol along routes in low, medium, and high walkable areas. Two experts then reviewed the videos. A total of 1150 (traditional) and 1087 (video review) individuals were observed during 900 min of observation. When larger numbers of individuals were observed, the traditional method overestimated the overall number of people as well as those walking and sitting/standing, while underestimating the number of runners. Valid estimates of PA occurring on sidewalks/streets can be obtained by the traditional BWM in low and medium walkability areas and/or with non-common activities (cycling); however, its validity is questionable when sidewalks/streets use volume is high. The use of WVDs in PA assessment has the potential to establish new levels of accuracy, reduce resource requirements, and open up the possibility for retrospective analysis.

Indexed as

Cross-Sectional StudiesData CollectionExerciseHumansReproducibility of ResultsResearch DesignRetrospective StudiesWalkingWearable Electronic Deviceshealth behaviormeasurementobservation methodpublic health

Identifiers

PMID31159164
PMCPMC6604033

What OpenQuestion holds

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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.