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Correlates of Agreement between Accelerometry and Self-reported Physical Activity
E. Cerin, KL. Cain, AL. Oyeyemi, N. Owen, TL. Conway, T. Cochrane, D. VAN Dyck, J. Schipperijn, J. Mitáš, M. Toftager, I. Aguinaga-Ontoso, JF. Sallis,
Language English Country United States
Document type Journal Article
- MeSH
- Accelerometry * MeSH
- Exercise * MeSH
- Humans MeSH
- Sedentary Behavior MeSH
- Sex Factors MeSH
- Educational Status MeSH
- Body Weight MeSH
- Age Factors MeSH
- Leisure Activities MeSH
- Self Report * MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
PURPOSE: Understanding factors that influence accurate assessment of physical activity (PA) and sedentary behavior (SB) is important to measurement development, epidemiologic studies, and interventions. This study examined agreement between self-reported (International Physical Activity Questionnaire-Long Form [IPAQ-LF]) and accelerometry-based estimates of PA and SB across six countries and identified correlates of between-method agreement. METHODS: Self-report and objective (accelerometry-based) PA and SB data were collected in 2002-2011 from 3865 adult participants in eight cities from six countries (Belgium, Czech Republic, Denmark, Spain, United Kingdom, and United States). Between-method relative agreement (correlation) and absolute disagreement (mean difference between conceptually and intensity-matched IPAQ-LF and accelerometry-based PA and SB variables) were estimated. Also, sociodemographic characteristics and PA patterns were examined as correlates of between-method agreement. RESULTS: Observed relative agreement (relationships of IPAQ-LF with accelerometry-based PA and SB variables) was small to moderate (r = 0.05-0.37) and was moderated by sociodemographic (age, sex, weight status, and education) and behavioral (PA-type) factors. The absolute disagreement was large, with participants self-reporting higher PA intensity and total time in moderate-to-vigorous-intensity PA than accelerometry. Also, self-reported sitting time was lower than accelerometry-based sedentary behavior. After adjusting for sociodemographic and behavioral factors, the absolute disagreement between pairs of IPAQ-LF and accelerometry-based PA variables remained significantly different across cities/countries. CONCLUSIONS: Present findings suggest systematic cultural and/or linguistic and sociodemographic differences in absolute agreement between the IPAQ-LF and the accelerometry-based PA and SB variables. These results have implications for the interpretation of international PA and SB data and correlate/determinant studies. They call for further efforts to improve such measures.
12Department of Health Sciences Public University of Navarra Pamplona SPAIN
Baker IDI Heart and Diabetes Institute Melbourne AUSTRALIA
Centre for Research and Action in Public Health University of Canberra Canberra AUSTRALIA
Department of Family Medicine and Public Health University of California San Diego CA
Department of Movement and Sport Sciences Ghent University Ghent BELGIUM
Department of Physiotherapy College of Medical Sciences University of Maiduguri Maiduguri NIGERIA
Faculty of Physical Culture Institute of Active Lifestyle Palacký University Olomouc CZECH REPUBLIC
Institute for Health and Ageing Australian Catholic University Melbourne AUSTRALIA
National Institute of Public Health University of Southern Denmark Copenhagen DENMARK
School of Public Health The University of Hong Kong Hong Kong CHINA
References provided by Crossref.org
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- $a Cerin, Ester $u 1Institute for Health and Ageing, Australian Catholic University, Melbourne, AUSTRALIA; 2School of Public Health, The University of Hong Kong, Hong Kong, CHINA; 3Department of Family Medicine and Public Health, University of California, San Diego, CA; 4Department of Physiotherapy, College of Medical Sciences, University of Maiduguri, Maiduguri, NIGERIA; 5Physical Activity, Sport and Recreation Research Focus Area, Faculty of Health Sciences, North-West University, Potchefstroom, SOUTH AFRICA; 6Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 7Centre for Research and Action in Public Health, University of Canberra, Canberra, AUSTRALIA; 8Department of Movement and Sport Sciences, Ghent University, Ghent, BELGIUM; 9Research Unit for Active Living, Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, DENMARK; 10Faculty of Physical Culture, Institute of Active Lifestyle, Palacký University, Olomouc, CZECH REPUBLIC; 11National Institute of Public Health, University of Southern Denmark, Copenhagen, DENMARK; and 12Department of Health Sciences, Public University of Navarra, Pamplona, SPAIN.
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- $a PURPOSE: Understanding factors that influence accurate assessment of physical activity (PA) and sedentary behavior (SB) is important to measurement development, epidemiologic studies, and interventions. This study examined agreement between self-reported (International Physical Activity Questionnaire-Long Form [IPAQ-LF]) and accelerometry-based estimates of PA and SB across six countries and identified correlates of between-method agreement. METHODS: Self-report and objective (accelerometry-based) PA and SB data were collected in 2002-2011 from 3865 adult participants in eight cities from six countries (Belgium, Czech Republic, Denmark, Spain, United Kingdom, and United States). Between-method relative agreement (correlation) and absolute disagreement (mean difference between conceptually and intensity-matched IPAQ-LF and accelerometry-based PA and SB variables) were estimated. Also, sociodemographic characteristics and PA patterns were examined as correlates of between-method agreement. RESULTS: Observed relative agreement (relationships of IPAQ-LF with accelerometry-based PA and SB variables) was small to moderate (r = 0.05-0.37) and was moderated by sociodemographic (age, sex, weight status, and education) and behavioral (PA-type) factors. The absolute disagreement was large, with participants self-reporting higher PA intensity and total time in moderate-to-vigorous-intensity PA than accelerometry. Also, self-reported sitting time was lower than accelerometry-based sedentary behavior. After adjusting for sociodemographic and behavioral factors, the absolute disagreement between pairs of IPAQ-LF and accelerometry-based PA variables remained significantly different across cities/countries. CONCLUSIONS: Present findings suggest systematic cultural and/or linguistic and sociodemographic differences in absolute agreement between the IPAQ-LF and the accelerometry-based PA and SB variables. These results have implications for the interpretation of international PA and SB data and correlate/determinant studies. They call for further efforts to improve such measures.
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