Literature DB >> 21444243

Comparison of the IPAQ-A and actigraph in relation to VO2max among European adolescents: the HELENA study.

Charlene Ottevaere1, Inge Huybrechts, Ilse De Bourdeaudhuij, Michael Sjöström, Jonatan R Ruiz, Francisco B Ortega, Maria Hagströmer, Kurt Widhalm, Dénes Molnár, Luis A Moreno, Laurent Beghin, Anthony Kafatos, Angela Polito, Yannis Manios, David Mártinez-Gómez, Stefaan De Henauw.   

Abstract

The purpose was to compare data obtained from a modified, long, self-administered version of the International Physical Activity Questionnaire (IPAQ-A) with objective data obtained in parallel from Actigraph accelerometers, and VO(2)max in adolescents. The study comprised a total of 2018 adolescents (46% male) from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study. Physical activity was assessed over seven consecutive days by accelerometry and expressed as min/day of moderate, vigorous, and moderate to vigorous (MVPA) physical activity (PA). PA was also assessed with the IPAQ-A. VO(2)max was estimated from a 20-m shuttle run test. Poor to fair correlations between the two methodologies were found for the whole study sample and when stratified by age and gender (r(s) = 0.08-0.26, p < 0.01). On average, the self-reported time spent in moderate PA was higher compared to the time measured with the accelerometer, while the differences between both instruments were less clear for vigorous intensity. Adolescents reporting high levels of PA (3rd tertile IPAQ-A) also showed higher levels of PA (accelerometers) in all the study variables (moderate, vigorous and MVPA), compared to adolescents reporting low PA (1st tertile IPAQ-A) (all p < 0.001). Both methods were moderately correlated with estimated VO(2)max. Within the HELENA-study, the IPAQ-A showed the modest comparability with the accelerometer data for assessing PA in each intensity level and was the highest for vigorous intensity. Both instruments are able to detect the adolescents with the highest cardio respiratory fitness, which are the most active adolescents. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21444243     DOI: 10.1016/j.jsams.2011.02.008

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


  30 in total

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5.  Comparison of Self-Reported and Objectively Measured Sedentary Behavior and Physical Activity in Undergraduate Students.

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7.  A model for presenting accelerometer paradata in large studies: ISCOLE.

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8.  Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors.

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9.  The Combating Obesity in Māori and Pasifika Adolescent School-Children Study: COMPASS Methodology and Study Protocol.

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10.  Predictors of validity and reliability of a physical activity record in adolescents.

Authors:  Roosmarijn Verstraeten; Carl Lachat; Angélica Ochoa-Avilés; Maria Hagströmer; Lieven Huybregts; Susana Andrade; Silvana Donoso; John Van Camp; Lea Maes; Patrick Kolsteren
Journal:  BMC Public Health       Date:  2013-12-01       Impact factor: 3.295

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