Literature DB >> 18019588

Comparative validity assessment of five activity monitors: does being a child matter?

Michelle R Stone1, Dale W Esliger, Mark S Tremblay.   

Abstract

The purpose of this study was to determine the effects of age and leg length on the energy-expenditure predictions of five activity monitors. Participants (N=86, ages 8-40 years) performed three progressive bouts of treadmill activity ranging from 4 to 12 km/hr. Differences between measured energy expenditure (VO2) and activity-monitor-predicted energy expenditure were assessed across five leg length categories to determine the influence of leg length. Accelerometer counts or pedometer steps along with age, weight, and leg length accounted for 85-94% of measured energy expenditure. The addition of age and leg length as predictor variables explained a larger amount of variance in energy expenditure across all speeds. Differences in leg length and age might affect activity-monitor validity and, therefore, should be controlled for when estimating physical activity energy expenditure.

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Mesh:

Year:  2007        PMID: 18019588     DOI: 10.1123/pes.19.3.291

Source DB:  PubMed          Journal:  Pediatr Exerc Sci        ISSN: 0899-8493            Impact factor:   2.333


  7 in total

1.  Evaluation of the effect of signalment and body conformation on activity monitoring in companion dogs.

Authors:  Dorothy Cimino Brown; Kathryn E Michel; Molly Love; Caitlin Dow
Journal:  Am J Vet Res       Date:  2010-03       Impact factor: 1.156

2.  Relationships between accelerometer-assessed physical activity and health in children: impact of the activity-intensity classification method.

Authors:  Michelle R Stone; Ann V Rowlands; Roger G Eston
Journal:  J Sports Sci Med       Date:  2009-03-01       Impact factor: 2.988

Review 3.  Validity of activity monitors in health and chronic disease: a systematic review.

Authors:  Hans Van Remoortel; Santiago Giavedoni; Yogini Raste; Chris Burtin; Zafeiris Louvaris; Elena Gimeno-Santos; Daniel Langer; Alastair Glendenning; Nicholas S Hopkinson; Ioannis Vogiatzis; Barry T Peterson; Frederick Wilson; Bridget Mann; Roberto Rabinovich; Milo A Puhan; Thierry Troosters
Journal:  Int J Behav Nutr Phys Act       Date:  2012-07-09       Impact factor: 6.457

4.  Actigraph accelerometer-defined boundaries for sedentary behaviour and physical activity intensities in 7 year old children.

Authors:  Richard M Pulsford; Mario Cortina-Borja; Carly Rich; Florence-Emilie Kinnafick; Carol Dezateux; Lucy J Griffiths
Journal:  PLoS One       Date:  2011-08-11       Impact factor: 3.240

Review 5.  A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.

Authors:  Kieran P Dowd; Robert Szeklicki; Marco Alessandro Minetto; Marie H Murphy; Angela Polito; Ezio Ghigo; Hidde van der Ploeg; Ulf Ekelund; Janusz Maciaszek; Rafal Stemplewski; Maciej Tomczak; Alan E Donnelly
Journal:  Int J Behav Nutr Phys Act       Date:  2018-02-08       Impact factor: 6.457

6.  The influence of monitoring interval on data measurement: an analysis of step counts of university students.

Authors:  Dagmar Sigmundová; Jana Vašíčková; Jiří Stelzer; Emil Repka
Journal:  Int J Environ Res Public Health       Date:  2013-01-28       Impact factor: 3.390

7.  Measuring physical activity with activity monitors in patients with heart failure: from literature to practice. A position paper from the Committee on Exercise Physiology and Training of the Heart Failure Association of the European Society of Cardiology.

Authors:  Leonie Klompstra; Martha Kyriakou; Ekaterini Lambrinou; Massimo F Piepoli; Andrew J S Coats; Alain Cohen-Solal; Justien Cornelis; Barnabas Gellen; Elena Marques-Sule; David Niederseer; Francesco Orso; Ewa Piotrowicz; Emeline M Van Craenenbroeck; Maria Simonenko; Klaus K Witte; Anna Wozniak; Maurizio Volterrani; Tiny Jaarsma
Journal:  Eur J Heart Fail       Date:  2020-11-25       Impact factor: 15.534

  7 in total

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