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@ARTICLE{Jaeschke:153218,
      author       = {L. Jaeschke and A. Steinbrecher and H. Boeing and S.
                      Gastell and W. Ahrens and K. Berger and H. Brenner$^*$ and
                      N. Ebert and B. Fischer and K. H. Greiser$^*$ and W.
                      Hoffmann and K.-H. Jöckel and R. Kaaks$^*$ and T. Keil and
                      Y. Kemmling and A. Kluttig and L. Krist and M. Leitzmann and
                      W. Lieb and J. Linseisen and M. Löffler and K. B. Michels
                      and N. Obi and A. Peters and S. Schipf and B. Schmidt and M.
                      Zinkhan and T. Pischon},
      title        = {{F}actors associated with habitual time spent in different
                      physical activity intensities using multiday accelerometry.},
      journal      = {Scientific reports},
      volume       = {10},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {DKFZ-2020-00258},
      pages        = {774},
      year         = {2020},
      abstract     = {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.},
      cin          = {C070 / C020},
      ddc          = {600},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31964962},
      doi          = {10.1038/s41598-020-57648-w},
      url          = {https://inrepo02.dkfz.de/record/153218},
}