Evidence map›Paper›PMID 19927022›Full record

ArticleMedicine and science in sports and exercise2010

Comparison of four ActiGraph accelerometers during walking and running.

Dinesh John, Brian Tyo, David R Bassett

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Medicine and science in sports and exercise, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
–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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.The international journal of behavioral nutrition and physical activity · 2018
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  17. Joint Temporal Patterns By Integrating Diet and Physical Activity.medRxiv : the preprint server for health sciences · 2023
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12 more citing papers are in PubMed but not listed here.

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.

Dinesh JohnUniversity of Tennessee, Department of Exercise, Sport, and Leisure Studies, Knoxville, TN 37996-2700, USA. djohn1@utk.edu
Brian Tyo
David R Bassett

Funding

Physical Activity Assessment Using Variability in Accelerometer CountsR21CA122430 · NCI · UNIVERSITY OF TENNESSEE KNOXVILLE · PI BASSETT, DAVID R · 2006 to 2007
$277k
NCI NIH HHS R21 CA122430NCI NIH HHS R21CA122430
6 · The paper itself

Abstract

unlabelledCurrently, researchers can use the ActiGraph 7164 or one of three different versions of the ActiGraph GT1M to objectively measure physical activity. PURPOSE: To determine whether differences exist between activity counts from the ActiGraph 7164 and the three versions of the GT1M at given walking and running speeds.

methodsTen male participants (23.6 +/- 2.7 yr) completed treadmill walking and running at 10 different speeds (3-min stages) while wearing the ActiGraph 7164 and the latest GT1M (GT1M-V3) or the GT1M version one (GT1M-V1) and the GT1M version two (GT1M-V2). Participants walked at 3, 5, and 7 km x h(-1) followed by running at 8, 10, 12, 14, 16, 18, and 20 km x h(-1). The accelerometers were worn on an elastic belt around the waist over the left and right sides of the hip. Testing was performed on different days using a counterbalanced within-subjects design to account for potential differences attributable to accelerometer placement. At each speed, a one-way repeated-measures ANOVA was used to examine differences between activity counts in counts per minute (cpm). Post hoc pairwise comparisons with Bonferroni adjustments were used where appropriate.

resultsThere were no significant differences between activity counts at any given walking or running speed (P < 0.05). At all running speeds, activity counts from the ActiGraph 7164 and GT1M-V2 displayed the lowest and highest values, respectively. Output from all accelerometers peaked at 14 km x h(-1) (mean range = 8974 +/- 677 to 9412 +/- 982 cpm) and then gradually declined at higher speeds. The mean difference score at peak output between the ActiGraph 7164 and GT1M-V2 was 439 +/- 565 cpm.

conclusionsThere were no statistically significant differences between outputs from all the accelerometers, indicating that researchers can select any of the four ActiGraph accelerometers in doing research.

Indexed as

AccelerationRunningWalkingAdultEquipment DesignHumansMaleMonitoring, PhysiologicTennesseeYoung Adult

Identifiers

PMID19927022
PMCPMC2809132

What OpenQuestion holds

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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.