Literature DB >> 33170820

Site-specific Concurrent Validity of the ActiGraph GT9X Link in the Estimation of Activity-related Skeletal Loading.

Simon Higgins1, Lauren Q Higgins2, Srikant Vallabhajosula3.   

Abstract

PURPOSE: The aims of this project were twofold: 1) to assess the concurrent validity of raw accelerometer outputs with ground reaction forces (GRF) and loading rates (LR) calculated from force plate across a range of simulated habitual PA and 2) to identify the optimal wear site among the ankle, hip, and wrist with the strongest relationships between accelerometer and force plate and/or skeletal outcomes.
METHODS: Thirty healthy young adults (23.0 ± 4.5 yr, 50% female) wore a triaxial accelerometer at the right ankle, hip, and wrist while performing eight trials of walking, jogging, running, low box drops, and high box drops over an in-ground force plate. Repeated-measures correlations and linear mixed models were used to assess concurrent validity of accelerometer and force plate outcomes across wear sites.
RESULTS: Strong repeated-measures associations were observed between peak hip resultant acceleration and resultant LR (rrm 1169 = 0.74, P < 0.001, 95% confidence interval = 0.718, 0.769) and peak hip resultant accelerations and resultant GRF (rrm 1169 = 0.69, P < 0.001, 95% confidence interval = 0.660, 0.720) when data were combined across activities. By contrast, small to moderate associations were seen between ankle-based outcomes and corresponding GRF and LR during walking and jogging (rrm 209 = 0.17-0.34, all P < 0.001). No significant associations were seen with wrist-based outcomes during any activity. In addition, linear mixed models suggested that 24%-50% of the variability in peak GRF and LR could be attributed to measured accelerations at the hip.
CONCLUSION: Peak accelerations measured at the hip were identified as the strongest proxies for skeletal loading assessed via force plate.
Copyright © 2020 by the American College of Sports Medicine.

Entities:  

Year:  2021        PMID: 33170820     DOI: 10.1249/MSS.0000000000002562

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  3 in total

1.  Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump.

Authors:  Kuei-Yu Chien; Wei-Gang Chang; Wan-Chin Chen; Rong-Jun Liou
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-01-03

Review 2.  Validity of New Technologies That Measure Bone-Related Dietary and Physical Activity Risk Factors in Adolescents and Young Adults: A Scoping Review.

Authors:  Alyse Davies; Yumeng Shi; Adrian Bauman; Margaret Allman-Farinelli
Journal:  Int J Environ Res Public Health       Date:  2021-05-26       Impact factor: 3.390

Review 3.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  3 in total

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