Evidence map›Paper›PMID 34090126›Full record

ArticleHealth & place2021

Measurement of neighborhood-based physical activity bouts.

Glen E Duncan, Philip M Hurvitz, Anne Vernez Moudon, Ally R Avery, Siny Tsang

Abstract read
In one paragraph

Article in Health & place, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Observational
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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

5 authors.

Glen E DuncanDepartment of Nutrition and Exercise Physiology, Washington State University Health Sciences Spokane, Spokane, WA, USA. Electronic address: glen.duncan@wsu.edu.
Philip M HurvitzUrban Form Lab, University of Washington, Seattle, WA, USA; Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
Anne Vernez MoudonUrban Form Lab, University of Washington, Seattle, WA, USA.
Ally R AveryDepartment of Nutrition and Exercise Physiology, Washington State University Health Sciences Spokane, Spokane, WA, USA.
Siny TsangDepartment of Nutrition and Exercise Physiology, Washington State University Health Sciences Spokane, Spokane, WA, USA.

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
TWINStudy of Environment, Lifestyle Behaviors, and HealthR01AG042176 · NIA · WASHINGTON STATE UNIVERSITY · PI DUNCAN, GLEN E · 2011 to 2014
$2.2M
NIA NIH HHS R01 AG042176NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

This study examined how buffer type (shape), size, and the allocation of activity bouts inside buffers that delineate the neighborhood spatially produce different estimates of neighborhood-based physical activity. A sample of 375 adults wore a global positioning system (GPS) data logger and accelerometer over 2 weeks under free-living conditions. Analytically, the amount of neighborhood physical activity measured objectively varies substantially, not only due to buffer shape and size, but by how GPS-based activity bouts are identified with respect to containment within neighborhood buffers. To move the "neighborhood-effects" literature forward, it is critical to delineate the spatial extent of the neighborhood, given how different ways of measuring GPS-based activity containment will result in different levels of physical activity across different buffer types and sizes.

Indexed as

ExerciseResidence CharacteristicsAccelerometryAdultGeographic Information SystemsHumansAccelerometryGeographic information systemsGPSNeighborhoodPhysical activity

Identifiers

PMID34090126
PMCPMC8328921

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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.