Literature DB >> 18483442

Activity-monitor accuracy in measuring step number and cadence in community-dwelling older adults.

P Margaret Grant1, Philippa M Dall, Sarah L Mitchell, Malcolm H Granat.   

Abstract

The primary purpose of this study was to investigate the accuracy of the activPAL physical activity monitor in measuring step number and cadence in older adults. Two pedometers (New-Lifestyles Digi-Walker SW-200 and New-Lifestyles NL2000) used in clinical practice to count steps were simultaneously evaluated. Observation was the criterion measure. Twenty-one participants (65-87 yr old) recruited from community-based exercise classes walked on a treadmill at 5 speeds (0.67, 0.90, 1.12, 1.33, and 1.56 m/s) and outdoors at 3 self-selected speeds (slow, normal, and fast). The absolute percentage error of the activPAL was <1% for all treadmill and outdoor conditions for measuring steps and cadence. With the exception of the slowest treadmill speed, the NL-2000 error was <2%. The SW-200 was the least accurate device, particularly at slower walking speeds. The activPAL monitor accurately recorded step number and cadence. Combined with its ability to identify primary postures, the activPAL might be a useful and versatile device for measuring activity in older adults.

Entities:  

Mesh:

Year:  2008        PMID: 18483442     DOI: 10.1123/japa.16.2.201

Source DB:  PubMed          Journal:  J Aging Phys Act        ISSN: 1063-8652            Impact factor:   1.961


  81 in total

1.  Normalization and extraction of interpretable metrics from raw accelerometry data.

Authors:  Jiawei Bai; Bing He; Haochang Shou; Vadim Zipunnikov; Thomas A Glass; Ciprian M Crainiceanu
Journal:  Biostatistics       Date:  2013-09-01       Impact factor: 5.899

2.  Classification of human physical activity based on raw accelerometry data via spherical coordinate transformation.

Authors:  Michał Kos; Małgorzata Bogdan; Nancy W Glynn; Jaroslaw Harezlak
Journal:  Stat Med       Date:  2020-06-01       Impact factor: 2.373

3.  Editor's Choice: Dual-process model of older adults' sedentary behavior: an ecological momentary assessment study.

Authors:  Jaclyn P Maher; Genevieve F Dunton
Journal:  Psychol Health       Date:  2019-09-24

4.  Outcomes of an Education and Exercise Program for Adults with Type 2 Diabetes, and Comorbidities that Limit their Mobility: A Preliminary Project Report.

Authors:  Gina Pariser; Mary Ann Demeuro; Patricia Gillette; Winters Stephen
Journal:  Cardiopulm Phys Ther J       Date:  2010-06

5.  Pedometer accuracy in slow walking older adults.

Authors:  Jessica B Martin; Katarina M Krč; Emily A Mitchell; Janice J Eng; Jeremy W Noble
Journal:  Int J Ther Rehabil       Date:  2012-07-03

6.  Week and Weekend Day Cadence Patterns Long-Term Post-Bariatric Surgery.

Authors:  Ryan E R Reid; Malcolm H Granat; Tiago V Barreira; Charlotte D Haugan; Tyler G R Reid; Ross E Andersen
Journal:  Obes Surg       Date:  2019-10       Impact factor: 4.129

7.  Application of N-of-1 Experiments to Test the Efficacy of Inactivity Alert Features in Fitness Trackers to Increase Breaks from Sitting in Older Adults.

Authors:  Dori E Rosenberg; Elyse Kadokura; Margaret E Morris; Anne Renz; Roger M Vilardaga
Journal:  Methods Inf Med       Date:  2017-08-16       Impact factor: 2.176

8.  Movelets: A dictionary of movement.

Authors:  Jiawei Bai; Jeff Goldsmith; Brian Caffo; Thomas A Glass; Ciprian M Crainiceanu
Journal:  Electron J Stat       Date:  2012       Impact factor: 1.125

9.  Movement prediction using accelerometers in a human population.

Authors:  Luo Xiao; Bing He; Annemarie Koster; Paolo Caserotti; Brittney Lange-Maia; Nancy W Glynn; Tamara B Harris; Ciprian M Crainiceanu
Journal:  Biometrics       Date:  2015-08-19       Impact factor: 2.571

10.  Practical guide to measuring physical activity.

Authors:  Louisa G Sylvia; Emily E Bernstein; Jane L Hubbard; Leigh Keating; Ellen J Anderson
Journal:  J Acad Nutr Diet       Date:  2013-11-28       Impact factor: 4.910

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.