Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry.
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Authors
Jaeschke, LinaSteinbrecher, Astrid
Boeing, Heiner
Gastell, Sylvia
Ahrens, Wolfgang
Berger, Klaus
Brenner, Hermann
Ebert, Nina
Fischer, Beate
Greiser, Karin Halina
Hoffmann, Wolfgang
Jöckel, Karl-Heinz
Kaaks, Rudolf
Keil, Thomas
Kemmling, Yvonne
Kluttig, Alexander
Krist, Lilian
Leitzmann, Michael
Lieb, Wolfgang
Linseisen, Jakob
Löffler, Markus
Michels, Karin B
Obi, Nadia
Peters, Annette
Schipf, Sabine
Schmidt, Börge
Zinkhan, Melanie
Pischon, Tobias
Issue Date
2020-01-21
Metadata
Show full item recordAbstract
To investigate factors associated with time in physical activity intensities, we assessed physical activity of 249 men and women (mean age 51.3 years) by 7-day 24h-accelerometry (ActiGraph GT3X+). Triaxial vector magnitude counts/minute were extracted to determine time in inactivity, in low-intensity, moderate, and vigorous-to-very-vigorous activity. Cross-sectional associations with sex, age, body mass index, waist circumference, smoking, alcohol consumption, education, employment, income, marital status, diabetes, and dyslipidaemia were investigated in multivariable regression analyses. Higher age was associated with more time in low-intensity (mean difference, 7.3 min/d per 5 years; 95% confidence interval 2.0,12.7) and less time in vigorous-to-very-vigorous activity (-0.8 min/d; -1.4, -0.2), while higher BMI was related to less time in low-intensity activity (-3.7 min/d; -6.3, -1.2). Current versus never smoking was associated with more time in low-intensity (29.2 min/d; 7.5, 50.9) and less time in vigorous-to-very-vigorous activity (-3.9 min/d; -6.3, -1.5). Finally, having versus not having a university entrance qualification and being not versus full time employed were associated with more inactivity time (35.9 min/d; 13.0, 58.8, and 66.2 min/d; 34.7, 97.7, respectively) and less time in low-intensity activity (-31.7 min/d; -49.9, -13.4, and -50.7; -76.6, -24.8, respectively). The assessed factors show distinct associations with activity intensities, providing targets for public health measures aiming to increase activity.Citation
Sci Rep. 2020 Jan 21;10(1):774. doi: 10.1038/s41598-020-57648-w.Affiliation
HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.Publisher
NPGJournal
Scientific reportsPubMed ID
31964962Type
ArticleLanguage
enISSN
2045-2322ae974a485f413a2113503eed53cd6c53
10.1038/s41598-020-57648-w
Scopus Count
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- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
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