Literature DB >> 20932797

Development and evaluation of an adult use-of-time instrument with an energy expenditure focus.

Sjaan R Gomersall1, Tim S Olds, Kate Ridley.   

Abstract

Measurement in behavioural epidemiology depends on high resolution and precise and accurate measures of the behaviour of interest. Few questionnaires in the adult population are able to simultaneously collect the multidimensional information that is emerging as being important in the relationship between behaviour and health. This project had two objectives: (1) to develop an adult version of the computer-delivered Multimedia Activity Recall for Children and Adolescents (MARCA), a 24-h activity recall instrument that can measure use-of-time and estimate energy expenditure and (2) to determine the test-retest reliability and convergent validity of the developed adult MARCA. Thirty-eight healthy subjects (mean±SD, 31.7±12.1 yr) completed two recalls of the adult MARCA within 24-h and accelerometer counts were measured on 30 of the subjects. Bland-Altman analysis and intraclass correlation coefficients (ICC) were used to quantify the test-retest reliability of the adult MARCA. Spearman rank correlation coefficients (rho) were used to quantify convergent validity of the adult MARCA compared to accelerometer counts. The test-retest reliability coefficients of the adult MARCA were high with intra-class coefficients ranging from 0.99 to 1.00. Moderate to strong validity was observed for physical activity level (PAL) (MET.min score of accelerometer wear time) and accelerometer counts per minute (rho=0.72). The adult MARCA is a valid and reliable self-report measure of use-of-time and energy expenditure, capable of a wide variety of flexible use-of-time analyses related to a wide range of behaviours.
Copyright © 2010 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20932797     DOI: 10.1016/j.jsams.2010.08.006

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  27 in total

1.  Validity of 24-h physical activity recall: physical activity measurement survey.

Authors:  Gregory J Welk; Youngwon Kim; Bryan Stanfill; David A Osthus; Miguel A Calabro; Sarah M Nusser; Alicia Carriquiry
Journal:  Med Sci Sports Exerc       Date:  2014-10       Impact factor: 5.411

Review 2.  The ActivityStat hypothesis: the concept, the evidence and the methodologies.

Authors:  Sjaan R Gomersall; Alex V Rowlands; Coralie English; Carol Maher; Tim S Olds
Journal:  Sports Med       Date:  2013-02       Impact factor: 11.136

Review 3.  Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention.

Authors:  Somdat Mahabir; Walter C Willett; Christine M Friedenreich; Gabriel Y Lai; Carol J Boushey; Charles E Matthews; Rashmi Sinha; Graham A Colditz; Joseph A Rothwell; Jill Reedy; Alpa V Patel; Michael F Leitzmann; Gary E Fraser; Sharon Ross; Stephen D Hursting; Christian C Abnet; Lawrence H Kushi; Philip R Taylor; Ross L Prentice
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-12-18       Impact factor: 4.254

4.  Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior.

Authors:  Gregory J Welk; Nicholas K Beyler; Youngwon Kim; Charles E Matthews
Journal:  Med Sci Sports Exerc       Date:  2017-07       Impact factor: 5.411

5.  Measurement of Active and Sedentary Behavior in Context of Large Epidemiologic Studies.

Authors:  Charles E Matthews; Sarah Kozey Keadle; Steven C Moore; Dale S Schoeller; Raymond J Carroll; Richard P Troiano; Joshua N Sampson
Journal:  Med Sci Sports Exerc       Date:  2018-02       Impact factor: 5.411

Review 6.  Measurement properties of self-report physical activity assessment tools for patients with stroke: a systematic review.

Authors:  Júlia Caetano Martins; Larissa Tavares Aguiar; Sylvie Nadeau; Aline Alvim Scianni; Luci Fuscaldi Teixeira-Salmela; Christina Danielli Coelho De Morais Faria
Journal:  Braz J Phys Ther       Date:  2019-02-27       Impact factor: 3.377

7.  Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study.

Authors:  Mitch J Duncan; Christopher E Kline; Amanda L Rebar; Corneel Vandelanotte; Camille E Short
Journal:  Z Gesundh Wiss       Date:  2015-10-20

8.  Feasibility of using a compact elliptical device to increase energy expenditure during sedentary activities.

Authors:  Liza S Rovniak; LeAnn Denlinger; Ellen Duveneck; Christopher N Sciamanna; Lan Kong; Andris Freivalds; Chester A Ray
Journal:  J Sci Med Sport       Date:  2013-08-08       Impact factor: 4.319

9.  Time regained: when people stop a physical activity program, how does their time use change? A randomised controlled trial.

Authors:  Sjaan Gomersall; Carol Maher; Coralie English; Alex Rowlands; Tim Olds
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

10.  Testing the activitystat hypothesis: a randomised controlled trial protocol.

Authors:  Sjaan Gomersall; Carol Maher; Kevin Norton; Jim Dollman; Grant Tomkinson; Adrian Esterman; Coralie English; Nicole Lewis; Tim Olds
Journal:  BMC Public Health       Date:  2012-10-08       Impact factor: 3.295

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