Literature DB >> 23223829

The effect of anatomical placement and trunk adiposity on the reliability and validity of triaxial accelerometer output during treadmill exercise.

Fleur E Horner1, Joanna Slade, James L J Bilzon.   

Abstract

BACKGROUND: Accelerometers are commonly used to quantify physical activity. There is no accordance regarding the most suitable attachment site. This study assessed the reliability and validity of accelerometer output (PAC) from 2 placements.
METHODS: 26 females (age 20.4 ± 1.3 years, body mass 62.7 ± 6.8 kg) twice performed a 16-minute treadmill protocol comprising 4 stages (4, 5, 8, 10 km·hr(-1)) and oxygen uptake (VO2) was calculated. Participants wore an accelerometer at the hip and lower back. Skinfold thickness was measured at 8 sites. Reliability was assessed using coefficients of variation (CVintra). Interactions between placement, velocity and PAC (counts·5s(-1)) were assessed using analysis of covariance. PAC-VO2 associations were assessed using multiple regression.
RESULTS: Hip and back placements returned similar reliability (CVintra = 3.0% and 2.8% respectively). Hip PAC were higher (P < .01) during walking with no differences observed during running. Indices of adiposity were related to hip PAC. Regression revealed hip and back PAC as significant predictors of VO2. Back PAC was the least variable. Hip skinfold thickness explained 15% additional variance in VO2 to PAC with reduced standard error.
CONCLUSION: The lower back is a more suitable accelerometer placement for young, active females during treadmill exercise.

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Mesh:

Year:  2012        PMID: 23223829     DOI: 10.1123/jpah.10.8.1193

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  3 in total

1.  The Conventional Non-Articulated SACH or a Multiaxial Prosthetic Foot for Hypomobile Transtibial Amputees? A Clinical Comparison on Mobility, Balance, and Quality of Life.

Authors:  Francesco Paradisi; Anna Sofia Delussu; Stefano Brunelli; Marco Iosa; Roberto Pellegrini; Daniele Zenardi; Marco Traballesi
Journal:  ScientificWorldJournal       Date:  2015-05-11

2.  Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand.

Authors:  Minna Aittasalo; Henri Vähä-Ypyä; Tommi Vasankari; Pauliina Husu; Anne-Mari Jussila; Harri Sievänen
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-08-07

3.  Predicting ambulatory energy expenditure in lower limb amputees using multi-sensor methods.

Authors:  Peter Ladlow; Tom E Nightingale; M Polly McGuigan; Alexander N Bennett; Rhodri D Phillip; James L J Bilzon
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

  3 in total

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