Literature DB >> 19875099

Utility of the RT3 triaxial accelerometer in free living: an investigation of adherence and data loss.

Meredith A Perry1, Paul A Hendrick, Leigh Hale, G David Baxter, Stephan Milosavljevic, Sarah G Dean, Suzanne M McDonough, Deirdre A Hurley.   

Abstract

There is strong evidence for the protective effects of physical activity on chronic health problems. Activity monitors can objectively measure free living occupational and leisure time physical activity. Utility is an important consideration when determining the most appropriate monitor for specific populations and environments. Hours of activity data collected, the reasons for activity hours not being recorded, and how these two factors might change over time when using an activity monitor in free living are rarely reported. This study investigated user perceptions, adherence to minimal wear time and loss of data when using the RT3 activity monitor in 21 healthy adults, in a variety of occupations, over three (7 day) repeated weeks of measurement in free living. An activity diary verified each day of monitoring and a utility questionnaire explored participant perceptions on the usability of the RT3. The RT3 was worn for an average of 14 h daily with 90% of participants having complete data sets. In total 6535.8 and 6092.5h of activity data were collected from the activity diary and the RT3 respectively. An estimated 443.3h (6.7%) of activity data were not recorded by the RT3. Data loss was primarily due to battery malfunction (45.2%). Non-adherence to wear time accounted for 169.5h (38.2%) of data loss, of which 14 h were due to occupational factors. The RT3 demonstrates good utility for free living activity measurement, however, technical issues and strategies to manage participant adherence require consideration with longitudinal and repeated measures studies. Copyright (c) 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19875099     DOI: 10.1016/j.apergo.2009.10.001

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  12 in total

1.  Variability in physical activity patterns as measured by the SenseWear Armband: how many days are needed?

Authors:  Tineke Scheers; Renaat Philippaerts; Johan Lefevre
Journal:  Eur J Appl Physiol       Date:  2011-08-28       Impact factor: 3.078

2.  Integrated electronic platforms for weight loss.

Authors:  Shelly K McCrady-Spitzer; James A Levine
Journal:  Expert Rev Med Devices       Date:  2010-03       Impact factor: 3.166

3.  A semiparametric model for wearable sensor-based physical activity monitoring data with informative device wear.

Authors:  Jaejoon Song; Michael D Swartz; Kelley Pettee Gabriel; Karen Basen-Engquist
Journal:  Biostatistics       Date:  2019-04-01       Impact factor: 5.899

4.  Self-reported versus objectively assessed exercise adherence.

Authors:  Hon K Yuen; Ed Wang; Katy Holthaus; Laura K Vogtle; David Sword; Hazel L Breland; Diane L Kamen
Journal:  Am J Occup Ther       Date:  2013 Jul-Aug

5.  Utility of accelerometers to measure physical activity in children attending an obesity treatment intervention.

Authors:  Wendy Robertson; Sarah Stewart-Brown; Elizabeth Wilcock; Michelle Oldfield; Margaret Thorogood
Journal:  J Obes       Date:  2010-10-03

6.  A qualitative investigation of activity measurement and change following a mind-body activity program for chronic pain.

Authors:  Paula J Popok; Jonathan Greenberg; Melissa V Gates; Ana-Maria Vranceanu
Journal:  Complement Ther Clin Pract       Date:  2021-05-02       Impact factor: 3.577

7.  Association Between Objectively Measured Physical Activity and Opioid, Hypnotic, or Anticholinergic Medication Use in Older People: Data from the Physical Activity Cohort Scotland Study.

Authors:  Clare L Clarke; Falko F Sniehotta; Thenmalar Vadiveloo; Peter T Donnan; Miles D Witham
Journal:  Drugs Aging       Date:  2018-09       Impact factor: 3.923

8.  Pedometer-driven walking for chronic low back pain: a feasibility randomized controlled trial.

Authors:  Suzanne M McDonough; Mark A Tully; Adele Boyd; Seán R O'Connor; Daniel P Kerr; Siobhán M O'Neill; Antony Delitto; Ian Bradbury; Catrine Tudor-Locke; George David Baxter; Deirdre A Hurley
Journal:  Clin J Pain       Date:  2013-11       Impact factor: 3.442

9.  Young People's Views on Accelerometer Use in Physical Activity Research: Findings from a User Involvement Investigation.

Authors:  Joanna Kirby; Carly Tibbins; Claire Callens; Beckie Lang; Margaret Thorogood; William Tigbe; Wendy Robertson
Journal:  ISRN Obes       Date:  2012-11-07

10.  Optimal sensor placement for measuring physical activity with a 3D accelerometer.

Authors:  Simone T Boerema; Lex van Velsen; Leendert Schaake; Thijs M Tönis; Hermie J Hermens
Journal:  Sensors (Basel)       Date:  2014-02-18       Impact factor: 3.576

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