Literature DB >> 25455167

Characteristics of very slow stepping in healthy adults and validity of the activPAL3™ activity monitor in detecting these steps.

Ben Stansfield1, Mugdha Hajarnis2, Radhika Sudarshan2.   

Abstract

The use of activity monitors to objectively measure stepping activity allows the characterisation of free-living daily activity performance. However, they must be fully validated. The characteristics of very slow stepping were examined and the validity of an activity monitor, the activPAL3™ (PAL Technologies Ltd., Glasgow, UK) to detect these steps was assessed. 10M/10F healthy adults (36±10 y) performed a treadmill walking protocol from 1.0m/s down to 0.1m/s (0.1m/s increments) whilst wearing the monitor under video observation (gold standard). Within the 800 stepping periods recorded the proportion of the steps correctly detected by the activPAL3™ was explored against speed and cadence. Below 0.4 m/s walking began to be intermittent, stepping interspersed with stationary postures. At 0.1 m/s almost 90% of walking periods were intermittent. The percentage of steps detected was over 90% for walking speed at or above 0.5m/s and cadence at or above 69 steps/min. However, below these limits % steps detected reduced rapidly with zero steps detected at 0.1m/s and at or below 24 steps/min. When examining the stepping activity of groups with limited stepping cadence the above thresholds of performance should be considered to ensure that outcomes are not misinterpreted and important very slow stepping activity missed. Crown
Copyright © 2014. Published by Elsevier Ltd. All rights reserved.

Keywords:  ActivPAL3 activity monitor; Cadence; Gait speed; Step length; Validity

Mesh:

Year:  2014        PMID: 25455167     DOI: 10.1016/j.medengphy.2014.10.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  12 in total

1.  The validity of activity trackers is affected by walking speed: the criterion validity of Garmin Vivosmart® HR and StepWatch 3 for measuring steps at various walking speeds under controlled conditions.

Authors:  Frederik Rose Svarre; Mads Møller Jensen; Josephine Nielsen; Morten Villumsen
Journal:  PeerJ       Date:  2020-07-14       Impact factor: 2.984

2.  A pilot study of physical activity and sedentary behavior distribution patterns in older women.

Authors:  Emma Fortune; Benjamin Mundell; Shreyasee Amin; Kenton Kaufman
Journal:  Gait Posture       Date:  2017-05-16       Impact factor: 2.840

Review 3.  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

Review 4.  The Association of Vision, Hearing, and Dual-Sensory Loss with Walking Speed and Incident Slow Walking: Longitudinal and Time to Event Analyses in the Health and Retirement Study.

Authors:  Ahmed F Shakarchi; Lama Assi; Abhishek Gami; Christina Kohn; Joshua R Ehrlich; Bonnielin K Swenor; Nicholas S Reed
Journal:  Semin Hear       Date:  2021-04-15

5.  Recommendations for determining the validity of consumer wearable and smartphone step count: expert statement and checklist of the INTERLIVE network.

Authors:  William Johnston; Pedro B Judice; Pablo Molina García; Jan M Mühlen; Esben Lykke Skovgaard; Julie Stang; Moritz Schumann; Shulin Cheng; Wilhelm Bloch; Jan Christian Brønd; Ulf Ekelund; Anders Grøntved; Brian Caulfield; Francisco B Ortega; Luis B Sardinha
Journal:  Br J Sports Med       Date:  2020-12-24       Impact factor: 13.800

6.  These Shoes Are Made for Walking: Sensitivity Performance Evaluation of Commercial Activity Monitors under the Expected Conditions and Circumstances Required to Achieve the International Daily Step Goal of 10,000 Steps.

Authors:  Sandra O'Connell; Gearóid ÓLaighin; Lisa Kelly; Elaine Murphy; Sorcha Beirne; Niall Burke; Orlaith Kilgannon; Leo R Quinlan
Journal:  PLoS One       Date:  2016-05-11       Impact factor: 3.240

7.  Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral Density.

Authors:  Swati Chopra; Melissa M Morrow; Che Ngufor; Emma Fortune
Journal:  Front Sports Act Living       Date:  2020-07-09

8.  Free-living and laboratory gait characteristics in patients with multiple sclerosis.

Authors:  Fabio A Storm; K P S Nair; Alison J Clarke; Jill M Van der Meulen; Claudia Mazzà
Journal:  PLoS One       Date:  2018-05-01       Impact factor: 3.240

9.  Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis.

Authors:  Gregory J H Biddle; Charlotte L Edwardson; Joseph Henson; Melanie J Davies; Kamlesh Khunti; Alex V Rowlands; Thomas Yates
Journal:  Int J Environ Res Public Health       Date:  2018-10-17       Impact factor: 3.390

Review 10.  Considerations when using the activPAL monitor in field-based research with adult populations.

Authors:  Charlotte L Edwardson; Elisabeth A H Winkler; Danielle H Bodicoat; Tom Yates; Melanie J Davies; David W Dunstan; Genevieve N Healy
Journal:  J Sport Health Sci       Date:  2016-02-03       Impact factor: 7.179

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.