Literature DB >> 24501565

Relationship Between the MTI Accelerometer (Actigraph) Counts and Running Speed During Continuous and Intermittent Exercise.

Comlavi B Guinhouya1, Hervé Hubert2, Grégory Dupont3, Alain Durocher2.   

Abstract

This study was designed to investigate the relationship between Actigraph counts and running speed; and to describe differences due to accelerometer position on the body and due to exercise modality. Eleven physical education students (age, 25.1 ± 3.7 years; height, 1.73 ± 0.10 m; body mass, 70.8 ± 10.8 kg) completed two exhaustive exercise tests (continuous and intermittent), with MTI accelerometers mounted both at the hip and ankle. Exercise consisted of running for 3-min at incremental speeds until volitional exhaustion. During both exercise tests, the relationship between the ActiGraph outputs worn at the hip and speed was linear in the range 1.1 - 3.3 m·s(-1) (r(2) = 0.94 and 0.95, p < 0.01 for continuous and intermittent exercise respectively). A coefficient of determination of r(2) = 0.97 (p < 0.01) was found with ankle wearing from walking, jogging and running at high speeds. There was a body placement effect at all absolute speeds (p < 0.01); but no exercise effect on accelerometer counts and no interaction between placement and exercise (p> 0.05). The ActiGraph seems to be a reliable tool for estimating a wide range of activity or exercise intensities. An ActiGraph worn at the ankle may be more appropriate to reflect normal human movement. Key PointsActigraph counts are not influenced by the type of activity.The levelling off of Actigraph output depends mainly on its location on the body, and does not reflect a lack of sensivity at higher speeds.The ActiGraph can be an alternative tool to estimate activity intensity in various conditions.

Entities:  

Keywords:  Physical activity; ankle; hip; joint kinematics

Year:  2005        PMID: 24501565      PMCID: PMC3899669     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  11 in total

1.  Field evaluation of the Computer Science and Applications, Inc. physical activity monitor.

Authors:  J R Sirard; E L Melanson; L Li; P S Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-03       Impact factor: 5.411

2.  Assessment of physical activity with the Computer Science and Applications, Inc., accelerometer: laboratory versus field validation.

Authors:  J F Nichols; C G Morgan; L E Chabot; J F Sallis; K J Calfas
Journal:  Res Q Exerc Sport       Date:  2000-03       Impact factor: 2.500

3.  Biomechanical factors affecting running economy.

Authors:  H Kyröläinen; A Belli; P V Komi
Journal:  Med Sci Sports Exerc       Date:  2001-08       Impact factor: 5.411

4.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites.

Authors:  A M Swartz; S J Strath; D R Bassett; W L O'Brien; G A King; B E Ainsworth
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

5.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

6.  Reexamination of validity and reliability of the CSA monitor in walking and running.

Authors:  Søren Brage; Niels Wedderkopp; Paul W Franks; Lars Bo Andersen; Karsten Froberg
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

7.  Calibration of the Computer Science and Applications, Inc. accelerometer.

Authors:  P S Freedson; E Melanson; J Sirard
Journal:  Med Sci Sports Exerc       Date:  1998-05       Impact factor: 5.411

8.  Validity of the computer science and applications (CSA) activity monitor in children.

Authors:  S G Trost; D S Ward; S M Moorehead; P D Watson; W Riner; J R Burke
Journal:  Med Sci Sports Exerc       Date:  1998-04       Impact factor: 5.411

9.  Psychophysical scaling with applications in physical work and the perception of exertion.

Authors:  G Borg
Journal:  Scand J Work Environ Health       Date:  1990       Impact factor: 5.024

10.  Variability of aerobic performance in the laboratory and its physiologic correlates.

Authors:  H Kuipers; F T Verstappen; H A Keizer; P Geurten; G van Kranenburg
Journal:  Int J Sports Med       Date:  1985-08       Impact factor: 3.118

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  1 in total

1.  Using text messages to bridge the intention-behavior gap? A pilot study on the use of text message reminders to increase objectively assessed physical activity in daily life.

Authors:  Andreas R Schwerdtfeger; Catalina Schmitz; Matthias Warken
Journal:  Front Psychol       Date:  2012-08-02
  1 in total

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