Literature DB >> 16125760

Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure.

Randal C Foster1, Lorraine M Lanningham-Foster, Chinmay Manohar, Shelly K McCrady, Lana J Nysse, Kenton R Kaufman, Denny J Padgett, James A Levine.   

Abstract

BACKGROUND: Walking is a widely used approach to increase physical activity levels in obese patients. In this paper, we investigate the precision and accuracy of an ankle-worn dual-axis accelerometer (Stepwatch) and investigate its potential application as a predictor of energy expenditure.
METHODS: Twenty healthy subjects (10 lean, 10 obese) wore spring-levered (Accusplit), piezoelectric (Omron HF-100), and Stepwatch pedometers. Subjects walked on a treadmill at 1, 2, and 3 mph and in a hallway at 1 and 1.85 mph, during which energy expenditure was measured.
RESULTS: The Stepwatch counted 99.7 +/- 0.67% (mean +/- SEM) of the manual counts. In comparison, the Omron pedometer counted 61 +/- 3.3% and the Accusplit counted 26 +/- 2.8% of the manual counts at 1 mph although all pedometers were accurate (> 98% of counts) at 3 mph. In repeated measures, the Stepwatch produced negligible variance (SD = 0.36) over all speed whereas the other pedometers showed a large amount of variance at all speed (SD = 4-13). Stepwatch counts were predictive of walking energy expenditure corrected by weight (r2 > 0.8).
CONCLUSION: The counts from the Stepwatch were virtually identical to the manual counts from a trained investigator and provided a reliable predictor of walking energy expenditure.

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Year:  2005        PMID: 16125760     DOI: 10.1016/j.ypmed.2005.07.006

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  56 in total

1.  Early ambulation and length of stay in older adults hospitalized for acute illness.

Authors:  Steve R Fisher; Yong-fang Kuo; James E Graham; Kenneth J Ottenbacher; Glenn V Ostir
Journal:  Arch Intern Med       Date:  2010-11-22

2.  Ambulatory activity of older adults hospitalized with acute medical illness.

Authors:  Steve R Fisher; James S Goodwin; Elizabeth J Protas; Yong-Fan Kuo; James E Graham; Kenneth J Ottenbacher; Glenn V Ostir
Journal:  J Am Geriatr Soc       Date:  2010-12-16       Impact factor: 5.562

Review 3.  Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes.

Authors:  Vikash Dadlani; James A Levine; Shelly K McCrady-Spitzer; Eyal Dassau; Yogish C Kudva
Journal:  J Diabetes Sci Technol       Date:  2015-10-18

4.  Prospective change in daily walking over 2 years in older adults with or at risk of knee osteoarthritis: the MOST study.

Authors:  D K White; C Tudor-Locke; Y Zhang; J Niu; D T Felson; K D Gross; M C Nevitt; C E Lewis; J Torner; T Neogi
Journal:  Osteoarthritis Cartilage       Date:  2015-08-28       Impact factor: 6.576

5.  The validity and reliability of a novel activity monitor as a measure of walking.

Authors:  C G Ryan; P M Grant; W W Tigbe; M H Granat
Journal:  Br J Sports Med       Date:  2006-07-06       Impact factor: 13.800

6.  Patterns of ambulatory activity in subjects with and without intermittent claudication.

Authors:  Andrew W Gardner; Polly S Montgomery; Kristy J Scott; Azhar Afaq; Steve M Blevins
Journal:  J Vasc Surg       Date:  2007-10-24       Impact factor: 4.268

7.  Total hip arthroplasty in patients 50 years or less: do we improve activity profiles?

Authors:  Margaret Kuhn; Marcie Harris-Hayes; Karen Steger-May; Gail Pashos; John C Clohisy
Journal:  J Arthroplasty       Date:  2013-03-15       Impact factor: 4.757

8.  Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.

Authors:  Mary E Rosenberger; William L Haskell; Fahd Albinali; Selene Mota; Jason Nawyn; Stephen Intille
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

9.  Validity of using tri-axial accelerometers to measure human movement - Part II: Step counts at a wide range of gait velocities.

Authors:  Emma Fortune; Vipul Lugade; Melissa Morrow; Kenton Kaufman
Journal:  Med Eng Phys       Date:  2014-03-20       Impact factor: 2.242

10.  Mobility activity and its value as a prognostic indicator of survival in hospitalized older adults.

Authors:  Glenn V Ostir; Ivonne M Berges; Yong-Fang Kuo; James S Goodwin; Steven R Fisher; Jack M Guralnik
Journal:  J Am Geriatr Soc       Date:  2013-03-25       Impact factor: 5.562

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