Evidence map›Paper›PMID 35627467›Full record

ArticleInternational journal of environmental research and public health2022

The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents.

Maura M Kepper, Amanda E Staiano, Stephanie T Broyles

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Maura M KepperPrevention Research Center, Washington University in St. Louis, St. Louis, MO 63130, USA.ORCID 0000-0002-5971-9189
Amanda E StaianoPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0001-7846-046X
Stephanie T BroylesPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0003-3168-0056
Pennington Biomedical Research Center · USWashington University in St. Louis · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leanne Maree Redman · 2005 to 2026
$26.5M
“Neighborhood Influence, Parenting Practices, and Youth Physical Activity.”F32HD093282 · NICHD · WASHINGTON UNIVERSITY · PI KEPPER, MAURA · 2017 to 2018
$116k
CDC HHS U48DP006395NICHD NIH HHS F32 HD093282NIDDK NIH HHS P30 DK072476NIDDK NIH HHS P30DK072476NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

Physical activity has many health benefits, yet a large portion of our population is not meeting recommendations. Using accelerometry and global positioning systems (GPS) to accurately measure where people are active and to identify barriers and facilitators of activity across various settings will inform evidence-based policies and interventions to improve activity levels. Criteria for sufficient accelerometry data (e.g., number of days, minimum hours in a day) to accurately monitor free-living physical activity in adults and children have been widely studied, implemented, and reported by researchers. However, few best practice recommendations for researchers using GPS have been established. Therefore, this paper examined the impact of three co-wear criteria of varying stringency among a sample of children aged 10 to 16 years in Baton Rouge, Louisiana. Overall and location-based physical activity was consistent across the samples even within sociodemographic subgroups. Despite the lack of significant subgroup-specific mean differences in physical activity across the three samples, associations between sociodemographics and weight status and physical activity were significantly different depending on the device time-matching "co-wear" criteria applied. These differences demonstrate the critical impact co-wear criteria may have on conclusions drawn from research examining health disparities. There is a need for additional research and understanding of ideal co-wear criteria that reduce bias and accurately estimate free-living location-based physical activity across diverse populations.

Indexed as

Geographic Information SystemsMotor ActivityAccelerometryAdolescentAdultBiasChildExerciseHumansaccelerometryadolescentsGPSmeasurementphysical activity

Identifiers

PMID35627467
PMCPMC9141158
OpenAlexW4280588817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.