Literature DB >> 22218284

Accelerometer counts and raw acceleration output in relation to mechanical loading.

A V Rowlands1, V H Stiles.   

Abstract

The purpose of this study was to assess the relationship of accelerometer output, in counts (ActiGraph GT1M) and as raw accelerations (ActiGraph GT3X+ and GENEA), with ground reaction force (GRF) in adults. Ten participants (age: 29.4 ± 8.2 yr, mass: 74.3 ± 9.8 kg, height: 1.76 ± 0.09 m) performed eight trials each of: slow walking, brisk walking, slow running, faster running and box drops. GRF data were collected for one step per trial (walking and running) using a force plate. Low jumps and higher jumps (one per second) were performed for 20 s each on the force plate. For box drops, participants dropped from a 35 cm box onto the force plate. Throughout, three accelerometers were worn at the hip: GT1M, GT3X+ and GENEA. A further GT3X+ and GENEA were worn on the left and right wrist, respectively. GT1M counts correlated with peak impact force (r = 0.85, p < 0.05), average resultant force (r = 0.73, p < 0.05) and peak loading rate (r = 0.76, p < 0.05). Accelerations from the GT3X+ and GENEA correlated with average resultant force and peak loading rate irrespective of whether monitors were worn at the hip or wrist (r > 0.82, p < 0.05, r > 0.63 p < 0.05, respectively). In conclusion, accelerometer count and raw acceleration output correlate positively with GRF and thus may be appropriate for the quantification of activity beneficial to bone. Wrist-worn monitors show a similar relationship with GRF as hip-worn monitors, suggesting that wrist-worn monitors may be a viable option for future studies looking at bone health.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22218284     DOI: 10.1016/j.jbiomech.2011.12.006

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  30 in total

1.  Measuring movement symmetry using tibial-mounted accelerometers for people recovering from total knee arthroplasty.

Authors:  Cory L Christiansen; Michael J Bade; Roger J Paxton; Jennifer E Stevens-Lapsley
Journal:  Clin Biomech (Bristol, Avon)       Date:  2015-05-09       Impact factor: 2.063

2.  Association of Physical Activity Measured by Accelerometer, Knee Joint Abnormalities, and Cartilage T2 Measurements Obtained From 3T Magnetic Resonance Imaging: Data From the Osteoarthritis Initiative.

Authors:  M Kretzschmar; W Lin; L Nardo; G B Joseph; D D Dunlop; U Heilmeier; M C Nevitt; H Alizai; C E McCulloch; J A Lynch; T M Link
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-09       Impact factor: 4.794

3.  Assessment of gait kinetics using triaxial accelerometers.

Authors:  Emma Fortune; Melissa M Morrow; Kenton R Kaufman
Journal:  J Appl Biomech       Date:  2014-07-09       Impact factor: 1.833

4.  Free-living cross-comparison of two wearable monitors for sleep and physical activity in healthy young adults.

Authors:  Nicola Cellini; Elizabeth A McDevitt; Sara C Mednick; Matthew P Buman
Journal:  Physiol Behav       Date:  2016-01-25

5.  Accelerometer-based prediction of skeletal mechanical loading during walking in normal weight to severely obese subjects.

Authors:  L Veras; F Diniz-Sousa; G Boppre; V Devezas; H Santos-Sousa; J Preto; J P Vilas-Boas; L Machado; J Oliveira; H Fonseca
Journal:  Osteoporos Int       Date:  2020-01-21       Impact factor: 4.507

6.  An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

Authors:  Dinesh John; Qu Tang; Fahd Albinali; Stephen Intille
Journal:  J Meas Phys Behav       Date:  2019-12

7.  A small amount of precisely measured high-intensity habitual physical activity predicts bone health in pre- and post-menopausal women in UK Biobank.

Authors:  Victoria H Stiles; Brad S Metcalf; Karen M Knapp; Alex V Rowlands
Journal:  Int J Epidemiol       Date:  2017-12-01       Impact factor: 7.196

8.  Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

Authors:  Valentin Hamy; Luis Garcia-Gancedo; Andrew Pollard; Anniek Myatt; Jingshu Liu; Andrew Howland; Philip Beineke; Emilia Quattrocchi; Rachel Williams; Michelle Crouthamel
Journal:  Digit Biomark       Date:  2020-04-30

Review 9.  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

10.  Estimating youth locomotion ground reaction forces using an accelerometer-based activity monitor.

Authors:  Jennifer M Neugebauer; David A Hawkins; Laurel Beckett
Journal:  PLoS One       Date:  2012-10-25       Impact factor: 3.240

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