Evidence map›Paper›PMID 38287938›Full record

ReviewInternational journal of exercise science2023

Estimating Physical Activity and Sleep using the Combination of Movement and Heart Rate: A Systematic Review and Meta-Analysis.

James W White, Christopher D Pfledderer, Parker Kinard, Michael W Beets, Lauren VON Klinggraeff, Bridget Armstrong, Elizabeth L Adams, Gregory J Welk, Sarah Burkart, R Glenn Weaver

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of exercise science, 2023. 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.

James W WhiteArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Christopher D PfleddererArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Parker KinardArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Michael W BeetsArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Lauren VON KlinggraeffArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Bridget ArmstrongArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Elizabeth L AdamsArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
Gregory J WelkDepartment of Kinesiology, College of Human Sciences, Iowa State University, Ames, Iowa, USA.
Sarah BurkartArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
R Glenn WeaverArnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, SC, USA.

Funding

Targeting Behavioral Adjustment and Healthy Lifestyle in Preschool-Age Children Using an Integrated Family-Based InterventionP20GM130420 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COOPER, DANIEL KABAT · 2020 to 2024
$11.2M
Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
Validity and Utility of Consumer-based Wearable Fitness Trackers to Monitor Free-Living Physical Activity Energy Expenditure and Sleep in Children 5-12 Years OldR01DK129215 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Robert G Weaver · 2022 to 2026
$3.0M
Utility and feasibility of activity type to augment consumer wearable-based physical activity energy expenditure prediction equations using heartrate and movement in childrenF31DK136205 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WHITE III, JAMES W. · 2023 to 2024
$83k
NIDDK NIH HHS F31 DK136205NIDDK NIH HHS R01 DK129215NIGMS NIH HHS P20 GM130420NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

The purpose of this meta-analysis was to quantify the difference in physical activity and sleep estimates assessed via 1) movement, 2) heart rate (HR), or 3) the combination of movement and HR (MOVE+HR) compared to criterion indicators of the outcomes. Searches in four electronic databases were executed September 21-24 of 2021. Weighted mean was calculated from standardized group-level estimates of mean percent error (MPE) and mean absolute percent error (MAPE) of the proxy signal compared to the criterion measurement method for physical activity, HR, or sleep. Standardized mean difference (SMD) effect sizes between the proxy and criterion estimates were calculated for each study across all outcomes, and meta-regression analyses were conducted. Two-One-Sided-Tests method were conducted to metaanalytically evaluate the equivalence of the proxy and criterion. Thirty-nine studies (physical activity

Indexed as

accelerometrycalibrationMeasurementresearch-gradesensorsvalidation

Identifiers

PMID38287938
PMCPMC10824314

What OpenQuestion holds

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LicenceCC BY-ND
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.