Literature DB >> 23698245

Use of accelerometry to classify activity beneficial to bone in premenopausal women.

Victoria H Stiles1, Pippa J Griew, Alex V Rowlands.   

Abstract

PURPOSE: The aims of this study were to quantify the relation between ground reaction force (GRF) and peak acceleration from hip- and wrist-worn accelerometers and determine peak acceleration cut-points associated with a loading rate previously demonstrated as beneficial to bone (43 body weights (BW)·s⁻¹) in premenopausal women.
METHODS: Forty-seven premenopausal women (age, 39.2 ± 5.6 yr; mass, 65.9 ± 11.0 kg; height, 1.67 ± 0.06 m) performed walking (slow, fast, and with bag), floor sweeping, running (slow and fast), jumping (low, <5 cm; high, >5 cm), and box drop (20 cm) trials. Peak accelerations were sampled at 100 Hz by GENEActiv and ActiGraph GT3X+ accelerometers (ActiGraph LLC, Pensacola, FL) worn at the hip (vertical and resultant) and the wrist (resultant). A force plate (960 Hz, AMTI) was used to assess peak vertical GRF and peak loading rate for eight steps per activity. Receiver operating characteristic curves were used to determine the optimal peak acceleration cut-points associated with a loading rate of 43 BW·s⁻¹ in 37 participants, and these cut-points were cross-validated in the remaining 10 participants.
RESULTS: For all activities combined, peak accelerations were positively and significantly (P < 0.001) correlated with peak vertical GRF (hip r > 0.8, wrist r > 0.7) and peak loading rate (hip r > 0.7, wrist r > 0.57). Irrespective of monitor type and wear site, peak acceleration discriminated between loading rates above and below 43 BW·s⁻¹ with high levels of accuracy (area under the curve >0.92, P < 0.001). Overall classification agreement was >85% for both monitors worn at either the wrist or hip in the cross-validation sample.
CONCLUSION: GENEActiv and ActiGraph GT3X+ accelerometers worn at the wrist or hip can be used as an unobtrusive tool to identify the occurrence of loading rates likely beneficial to bone in premenopausal women during their daily activity.

Entities:  

Mesh:

Year:  2013        PMID: 23698245     DOI: 10.1249/MSS.0b013e31829ba765

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


  13 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

Review 2.  A comparison of the associations between bone health and three different intensities of accelerometer-derived habitual physical activity in children and adolescents: a systematic review.

Authors:  Gemma Brailey; Brad Metcalf; Rebecca Lear; Lisa Price; Sean Cumming; Victoria Stiles
Journal:  Osteoporos Int       Date:  2022-01-28       Impact factor: 5.071

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.  Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking.

Authors:  Stefan I Madansingh; Dennis H Murphree; Kenton R Kaufman; Emma Fortune
Journal:  Gait Posture       Date:  2019-01-15       Impact factor: 2.840

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.  Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors.

Authors:  Séverine Sabia; Vincent T van Hees; Martin J Shipley; Michael I Trenell; Gareth Hagger-Johnson; Alexis Elbaz; Mika Kivimaki; Archana Singh-Manoux
Journal:  Am J Epidemiol       Date:  2014-02-04       Impact factor: 4.897

7.  Wrist-worn Accelerometry for Runners: Objective Quantification of Training Load.

Authors:  Victoria H Stiles; Matthew Pearce; Isabel S Moore; Joss Langford; Alex V Rowlands
Journal:  Med Sci Sports Exerc       Date:  2018-11       Impact factor: 5.411

8.  Best Practices for Conducting Observational Research to Assess the Relation between Nutrition and Bone: An International Working Group Summary.

Authors:  Regan L Bailey; Shivani Sahni; Patricia Chocano-Bedoya; Robin M Daly; Ailsa A Welch; Heike Bischoff-Ferrari; Connie M Weaver
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

9.  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

Review 10.  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

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