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Jaeschke, L.* ; Steinbrecher, A.* ; Boeing, H.* ; Gastell, S.* ; Ahrens, W.* ; Berger, K.* ; Brenner, H.* ; Ebert, N.* ; Fischer, B.* ; Greiser, K.H.* ; Hoffmann, W.* ; Jöckel, K.-H.* ; Kaaks, R.* ; Keil, T.* ; Kemmling, Y.* ; Kluttig, A.* ; Krist, L.* ; Leitzmann, M.* ; Leib, W.* ; Linseisen, J. ; Löffler, M.* ; Michels, K.B.* ; Obi, N.* ; Peters, A. ; Schipf, S.* ; Schmidt, B.* ; Zinkhan, M.* ; Pischon, T.*

Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry.

Sci. Rep. 10:774 (2020)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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, 7.3min/d per 5 years; 95% confidence interval 2.0,12.7) and less time in vigorous-to-very-vigorous activity (-0.8min/d; -1.4, -0.2), while higher BMI was related to less time in low-intensity activity (-3.7min/d; -6.3, -1.2). Current versus never smoking was associated with more time in low-intensity (29.2min/d; 7.5, 50.9) and less time in vigorous-to-very-vigorous activity (-3.9min/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 (35.9min/d; 13.0, 58.8, and 66.2min/d; 34.7, 97.7, respectively) and less time in low-intensity activity (-31.7min/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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Sedentary Time; Leisure-time; Adults; Mortality; Determinants; Calibration; Moderate; Smoking; Fitness; Heart
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 10, Heft: 1, Seiten: , Artikelnummer: 774 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Independent Research Group Clinical Epidemiology (KEPI)
Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-502900-001
G-504000-010
DOI 10.1038/s41598-020-57648-w
WOS ID WOS:000512142100012
Scopus ID 85078087412
PubMed ID 31964962
Erfassungsdatum 2020-03-17
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