Literature DB >> 21946229

Effects of body mass index on step count accuracy of physical activity monitors.

Yuri Feito1, David R Bassett, Dixie L Thompson, Brian M Tyo.   

Abstract

BACKGROUND: Activity monitors are widely used in research, and are currently being used to study physical activity (PA) trends in the US and Canada. The purpose of this study was to determine if body mass index (BMI) affects the step count accuracy of commonly used accelerometer-based activity monitors during treadmill walking.
METHODS: Participants were classified into BMI categories and instructed to walk on a treadmill at 3 different speeds (40, 67, and 94 m·min(-1)) while wearing 4 accelerometer-based activity monitors (ActiGraph GT1M, ActiCal, NL-2000, and StepWatch).
RESULTS: There was no significant main effect of BMI on pedometer accuracy. At the slowest speed, all waist-mounted devices significantly underestimated actual steps (P < .001), with the NL-2000 recording the greatest percentage (72%). At the intermediate speed, the ActiGraph was the least accurate, recording only 80% of actual steps. At the fastest speed, all of the activity monitors demonstrated a high level of accuracy.
CONCLUSION: Our data suggest that BMI does not greatly affect the step-counting accuracy of accelerometer-based activity monitors. However, the accuracy of the ActiGraph, ActiCal, and NL-2000 decreases at slower speeds. The ankle-mounted StepWatch was the most accurate device across a wide range of walking speeds.

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Mesh:

Year:  2011        PMID: 21946229     DOI: 10.1123/jpah.9.4.594

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  13 in total

1.  Self-reported and objectively measured physical activity in adults with systemic lupus erythematosus.

Authors:  Grace E Ahn; Joan S Chmiel; Dorothy D Dunlop; Irene B Helenowski; Pamela A Semanik; Jing Song; Barbara Ainsworth; Rowland W Chang; Rosalind Ramsey-Goldman
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-05       Impact factor: 4.794

2.  No Association between Daily Walking and Knee Structural Changes in People at Risk of or with Mild Knee Osteoarthritis. Prospective Data from the Multicenter Osteoarthritis Study.

Authors:  Britt Elin Øiestad; Emily Quinn; Daniel White; Frank Roemer; Ali Guermazi; Michael Nevitt; Neil A Segal; Cora E Lewis; David T Felson
Journal:  J Rheumatol       Date:  2015-06-15       Impact factor: 4.666

3.  Step Detection Accuracy and Energy Expenditure Estimation at Different Speeds by Three Accelerometers in a Controlled Environment in Overweight/Obese Subjects.

Authors:  Ville Stenbäck; Juhani Leppäluoto; Rosanna Juustila; Laura Niiranen; Dominique Gagnon; Mikko Tulppo; Karl-Heinz Herzig
Journal:  J Clin Med       Date:  2022-06-07       Impact factor: 4.964

4.  Walking to meet physical activity guidelines in knee osteoarthritis: is 10,000 steps enough?

Authors:  Daniel K White; Catrine Tudor-Locke; David T Felson; K Doug Gross; Jingbo Niu; Michael Nevitt; Cora E Lewis; James Torner; Tuhina Neogi
Journal:  Arch Phys Med Rehabil       Date:  2012-12-07       Impact factor: 3.966

5.  Step detection using multi- versus single tri-axial accelerometer-based systems.

Authors:  E Fortune; V A Lugade; S Amin; K R Kaufman
Journal:  Physiol Meas       Date:  2015-11-23       Impact factor: 2.833

6.  Physical activity monitoring in extremely obese adolescents from the Teen-LABORATORIES study.

Authors:  Renee M Jeffreys; Thomas H Inge; Todd M Jenkins; Wendy C King; Vedran Oruc; Andrew D Douglas; Molly S Bray
Journal:  J Phys Act Health       Date:  2014-09-10

Review 7.  Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review.

Authors:  Christopher C Moore; Aston K McCullough; Elroy J Aguiar; Scott W Ducharme; Catrine Tudor-Locke
Journal:  J Phys Act Health       Date:  2020-07-11

8.  Activity Monitors Step Count Accuracy in Community-Dwelling Older Adults.

Authors:  Marquell Johnson
Journal:  Gerontol Geriatr Med       Date:  2015-08-18

Review 9.  Step Counting: A Review of Measurement Considerations and Health-Related Applications.

Authors:  David R Bassett; Lindsay P Toth; Samuel R LaMunion; Scott E Crouter
Journal:  Sports Med       Date:  2017-07       Impact factor: 11.136

10.  Validity of the Samsung Phone S Health application for assessing steps and energy expenditure during walking and running: Does phone placement matter?

Authors:  Marquell Johnson; Jillian Turek; Chelsea Dornfeld; Jennifer Drews; Nicole Hansen
Journal:  Digit Health       Date:  2016-06-14
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