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Maria Hagstromer, Barbara E. Ainsworth, Pekka Oja and Michael Sjostrom

Background:

The aim of this study was to compare physical activity components in the long, self-administrated version of IPAQ with an accelerometer in a population sample.

Methods:

In total 980 subjects (18-65 years) wore an accelerometer (Actigraph) for 7 consecutive days and thereafter filled in the IPAQ. Measures of total physical activity, time spent in moderate and in vigorous activity as well as time spent sitting as assessed by the IPAQ and the Actigraph were compared.

Results:

The results showed significant low to moderate correlations (Rs = 0.07−0.36) between the 2 instruments and significantly (P < .001) higher values for sitting and vigorous intensity physical activity from the IPAQ compared with the Actigraph. The higher the values reported by the IPAQ the bigger differences were seen between the instruments. Comparison between the tertiles of total physical activity by the 2 instruments showed significant overall association with consistent agreement in the low and the high tertiles.

Conclusion:

The long form of IPAQ is a valid measure of physical activity in population research. However, the IPAQ likely overestimates actual physical activity as shown by its limited ability to classify adults into low and high categories of physical activity based on accelerometer data.

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Meghan Edwards and Paul Loprinzi

, 15 Participants engaging in ≥2000 MET·minute per month of leisure-time physical activity were defined as meeting physical activity guidelines. This is based on recommendations from the Office of Disease Prevention and Health Promotion, 16 indicating that weekly physical activity of at least 500 MET·minute

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Erika Rees-Punia, Alicia Holloway, David Knauft and Michael D. Schmidt

-school differences in the effect of the gardening class on average school-day MET-minute accumulation. PARAGON data were averaged across the 3 observation days and were calculated as the mean percentage of time spent on each task, motion, and activity level. All data were analyzed using SAS version 9.4 (SAS

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Aurora de Fátima G.C. Mafra Cabral, Marcelo Medeiros Pinheiro, Charlles H.M. Castro, Marco Túlio De Mello, Sérgio Tufik and Vera Lúcia Szejnfeld

metabolic rate) to yield a score in MET-minutes. A MET-minute is computed by multiplying the MET score by the minutes performed. These following values were used for the analysis of IPAQ data: walking = 3.3 METs, moderate physical activity = 4.0 METs; vigorous physical activity = 8.0 METs. The Baecke

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Mitali S. Thanawala, Juned Siddique, John A. Schneider, Alka M. Kanaya, Andrew J. Cooper, Swapna S. Dave, Nicola Lancki and Namratha R. Kandula

limited to the MASALA study participants who completed the social network module and who self-reported any level of MVPA greater than 0 MET minute per week (n = 689, 89% of total 771 participants). Of the 82 participants excluded from the study, 81 participants (10.5% of total 771 participants) reported

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Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson

acquires FB data from an internet-based data acquisition system. The advantage of using this platform to acquire FB data is that it provides minute-by-minute data for steps and METs. The MET-minute values ≤ 1.5 were categorized as ST ( US Department of Health and Human Services, 2018 ). The HxSkin data

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Edgard Melo Keene von Koenig Soares, Guilherme E. Molina, Daniel Saint Martin, João Luís A. E. Sadat P. Leitão, Keila E. Fontana, Luiz F. Junqueira Jr., Timóteo Leandro de Araújo, Sandra Mahecha Matsudo, Victor K. Matsudo and Luiz Guilherme Grossi Porto

weekly energy expenditure. The IPAQ committee states that to be active, one could perform any combination of walking, MVPA achieving a minimum total of at least 600 MET-minutes per week 16 (criteria number 7). In spite of this recommendation, walking 150 minutes—a 3.3 MET-minute activity in the IPAQ