Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and w
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BioMed Central
Open Access
Research
Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status Sander M Slootmaker1, Albertine J Schuit2,3, Marijke JM Chinapaw*1, Jacob C Seidell3 and Willem van Mechelen1 Address: 1EMGO Institute, Department of Public and Occupational Health, Body@Work Research Center Physical Activity, Work and Health, TNO-VU University Medical Center, Amsterdam, The Netherlands, 2National Institute for Public Health and the Environment, Bilthoven, The Netherlands and 3Institute of Health Science, Faculty of Earth and Life Sciences, VU University Amsterdam, The Netherlands Email: Sander M Slootmaker - [email protected]; Albertine J Schuit - [email protected]; Marijke JM Chinapaw* - [email protected]; Jacob C Seidell - [email protected]; Willem van Mechelen - [email protected] * Corresponding author
Published: 25 March 2009 International Journal of Behavioral Nutrition and Physical Activity 2009, 6:17
doi:10.1186/1479-5868-6-17
Received: 30 July 2008 Accepted: 25 March 2009
This article is available from: http://www.ijbnpa.org/content/6/1/17 © 2009 Slootmaker et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Background: The purpose of this study is to compare self-reported time (by questionnaire) and objectively measured time (by accelerometer) spent on physical activity at moderate (MPA) and vigorous intensity (VPA) in subgroups of age, gender, education and weight status. Methods: In total, 236 adolescents (aged 12–18) and 301 adults (aged 22–40), completed the questionnaire and wore an accelerometer for two weeks. Results: Adolescents reported exceptionally more time spent on MPA (mean difference 596 ± 704 min/wk) and VPA (mean difference 178 ± 315 min/wk) than was assessed objectively by the accelerometer. Based on the questionnaire, high educated adolescents spent more time on MPA (205 min/wk, p = 0.002) and VPA (120 min/wk, p = 0.01) than low educated adolescents, but according to the accelerometer they spent less time on MPA (149 min/wk, p = 0.001) and VPA (47 min/wk, p = 0.001). Among adults there was moderate agreement between self-reported time and objectively measured time spent on MPA, but in general the reported time spent on MPA (mean difference 107 ± 334 min/wk) and VPA (mean difference 169 ± 250 min/wk) exceeded the time measured with the accelerometer. Overweight adults reported significantly more VPA (57 min/wk, p = 0.04) than normal weight adults, but this was not confirmed by the accelerometer data. Conclusion: We observed large differences in time spent on MPA and VPA measured by questionnaire and accelerometer in adolescents but reasonably good agreement in adults. Differences between methods varied by gender, educ
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