Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods

Background Physical activity is associated with reduced risks of many chronic diseases. Data collected on physical activity in large epidemiological studies is often based on paper questionnaires. The validity of these questionnaires is debated, and more effective methods are needed. Obj...

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Main Authors: Bexelius, Christin, Löf, Marie, Sandin, Sven, Trolle Lagerros, Ylva, Forsum, Elisabet, Litton, Jan-Eric
Format: Article
Language:English
Published: JMIR Publications 2010-01-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2010/1/e2/
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author Bexelius, Christin
Löf, Marie
Sandin, Sven
Trolle Lagerros, Ylva
Forsum, Elisabet
Litton, Jan-Eric
author_facet Bexelius, Christin
Löf, Marie
Sandin, Sven
Trolle Lagerros, Ylva
Forsum, Elisabet
Litton, Jan-Eric
author_sort Bexelius, Christin
collection DOAJ
description Background Physical activity is associated with reduced risks of many chronic diseases. Data collected on physical activity in large epidemiological studies is often based on paper questionnaires. The validity of these questionnaires is debated, and more effective methods are needed. Objective This study evaluates repeated measures of physical activity level (PAL) and the feasibility of using a Java-based questionnaire downloaded onto cell phones for collection of such data. The data obtained were compared with reference estimates based on the doubly labeled water method and indirect calorimetry (PALref). Method Using a Java-based cell phone application, 22 women reported their physical activity based on two short questions answered daily over a 14-day period (PALcell). Results were compared with reference data obtained from the doubly labeled water method and indirect calorimetry (PALref). Results were also compared against physical activity levels assessed by two regular paper questionnaires completed by women at the end of the 14-day period (PALquest1 and PALquest2). PALcell, PALquest1, and PALquest2 were compared with PALref using the Bland and Altman procedure. Results The mean difference between PALcell and PALref was small (0.014) with narrow limits of agreement (2SD = 0.30). Compared with PALref, the mean difference was also small for PALquest1 and PALquest2 (0.004 and 0.07, respectively); however, the limits of agreement were wider (PALquest1, 2SD = 0.50 and PALquest2, 2SD = 0.90). The test for trend was statistically significant for PALquest1 (slope of regression line = 0.79, P = .04) as well as for PALquest2 (slope of regression line = 1.58, P < .001) when compared with PALref. Conclusion A Java-based physical activity questionnaire administered daily using cell phones produced PAL estimates that agreed well with PAL reference values. Furthermore, the limits of agreement between PAL obtained using cell phones, and reference values were narrower than for corresponding estimates obtained using paper questionnaires. Java-based questionnaires downloaded onto cell phones may be a feasible and cost-effective method of data collection for large-scale prospective studies of physical activity.
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spelling doaj.art-34f4912661104d73bcb5c7cdfec0875e2022-12-21T20:19:53ZengJMIR PublicationsJournal of Medical Internet Research1438-88712010-01-01121e210.2196/jmir.1298Measures of Physical Activity Using Cell Phones: Validation Using Criterion MethodsBexelius, ChristinLöf, MarieSandin, SvenTrolle Lagerros, YlvaForsum, ElisabetLitton, Jan-EricBackground Physical activity is associated with reduced risks of many chronic diseases. Data collected on physical activity in large epidemiological studies is often based on paper questionnaires. The validity of these questionnaires is debated, and more effective methods are needed. Objective This study evaluates repeated measures of physical activity level (PAL) and the feasibility of using a Java-based questionnaire downloaded onto cell phones for collection of such data. The data obtained were compared with reference estimates based on the doubly labeled water method and indirect calorimetry (PALref). Method Using a Java-based cell phone application, 22 women reported their physical activity based on two short questions answered daily over a 14-day period (PALcell). Results were compared with reference data obtained from the doubly labeled water method and indirect calorimetry (PALref). Results were also compared against physical activity levels assessed by two regular paper questionnaires completed by women at the end of the 14-day period (PALquest1 and PALquest2). PALcell, PALquest1, and PALquest2 were compared with PALref using the Bland and Altman procedure. Results The mean difference between PALcell and PALref was small (0.014) with narrow limits of agreement (2SD = 0.30). Compared with PALref, the mean difference was also small for PALquest1 and PALquest2 (0.004 and 0.07, respectively); however, the limits of agreement were wider (PALquest1, 2SD = 0.50 and PALquest2, 2SD = 0.90). The test for trend was statistically significant for PALquest1 (slope of regression line = 0.79, P = .04) as well as for PALquest2 (slope of regression line = 1.58, P < .001) when compared with PALref. Conclusion A Java-based physical activity questionnaire administered daily using cell phones produced PAL estimates that agreed well with PAL reference values. Furthermore, the limits of agreement between PAL obtained using cell phones, and reference values were narrower than for corresponding estimates obtained using paper questionnaires. Java-based questionnaires downloaded onto cell phones may be a feasible and cost-effective method of data collection for large-scale prospective studies of physical activity.http://www.jmir.org/2010/1/e2/
spellingShingle Bexelius, Christin
Löf, Marie
Sandin, Sven
Trolle Lagerros, Ylva
Forsum, Elisabet
Litton, Jan-Eric
Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
Journal of Medical Internet Research
title Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
title_full Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
title_fullStr Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
title_full_unstemmed Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
title_short Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods
title_sort measures of physical activity using cell phones validation using criterion methods
url http://www.jmir.org/2010/1/e2/
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