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

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Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry. / Jaeschke, Lina; Steinbrecher, 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.

in: SCI REP-UK, Jahrgang 10, Nr. 1, 21.01.2020, S. 774.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Jaeschke, L, Steinbrecher, A, Boeing, H, Gastell, S, Ahrens, W, Berger, K, Brenner, H, Ebert, N, Fischer, B, Greiser, KH, Hoffmann, W, Jöckel, K-H, Kaaks, R, Keil, T, Kemmling, Y, Kluttig, A, Krist, L, Leitzmann, M, Lieb, W, Linseisen, J, Löffler, M, Michels, KB, Obi, N, Peters, A, Schipf, S, Schmidt, B, Zinkhan, M & Pischon, T 2020, 'Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry', SCI REP-UK, Jg. 10, Nr. 1, S. 774. https://doi.org/10.1038/s41598-020-57648-w

APA

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., Lieb, W., ... Pischon, T. (2020). Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry. SCI REP-UK, 10(1), 774. https://doi.org/10.1038/s41598-020-57648-w

Vancouver

Jaeschke L, Steinbrecher A, Boeing H, Gastell S, Ahrens W, Berger K et al. Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry. SCI REP-UK. 2020 Jan 21;10(1):774. https://doi.org/10.1038/s41598-020-57648-w

Bibtex

@article{afe1e0288f9a4a2fb13aa3bde3ebda34,
title = "Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry",
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.",
author = "Lina Jaeschke and Astrid Steinbrecher and Heiner Boeing and Sylvia Gastell and Wolfgang Ahrens and Klaus Berger and Hermann Brenner and Nina Ebert and Beate Fischer and Greiser, {Karin Halina} and Wolfgang Hoffmann and Karl-Heinz J{\"o}ckel and Rudolf Kaaks and Thomas Keil and Yvonne Kemmling and Alexander Kluttig and Lilian Krist and Michael Leitzmann and Wolfgang Lieb and Jakob Linseisen and Markus L{\"o}ffler and Michels, {Karin B} and Nadia Obi and Annette Peters and Sabine Schipf and B{\"o}rge Schmidt and Melanie Zinkhan and Tobias Pischon",
year = "2020",
month = jan,
day = "21",
doi = "10.1038/s41598-020-57648-w",
language = "English",
volume = "10",
pages = "774",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry

AU - Jaeschke, Lina

AU - Steinbrecher, Astrid

AU - Boeing, Heiner

AU - Gastell, Sylvia

AU - Ahrens, Wolfgang

AU - Berger, Klaus

AU - Brenner, Hermann

AU - Ebert, Nina

AU - Fischer, Beate

AU - Greiser, Karin Halina

AU - Hoffmann, Wolfgang

AU - Jöckel, Karl-Heinz

AU - Kaaks, Rudolf

AU - Keil, Thomas

AU - Kemmling, Yvonne

AU - Kluttig, Alexander

AU - Krist, Lilian

AU - Leitzmann, Michael

AU - Lieb, Wolfgang

AU - Linseisen, Jakob

AU - Löffler, Markus

AU - Michels, Karin B

AU - Obi, Nadia

AU - Peters, Annette

AU - Schipf, Sabine

AU - Schmidt, Börge

AU - Zinkhan, Melanie

AU - Pischon, Tobias

PY - 2020/1/21

Y1 - 2020/1/21

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-020-57648-w

DO - 10.1038/s41598-020-57648-w

M3 - SCORING: Journal article

C2 - 31964962

VL - 10

SP - 774

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

ER -