Standard
Temporal dynamics of sitting behavior at work. / Ten Broeke, P.; Olthof, M.; Beckers, D.G.J. et al.
In:
Proceedings of the National Academy of Sciences of the United States of America, Vol. 117, No. 26, 30.06.2020, p. 14883-14889.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Harvard
Ten Broeke, P, Olthof, M, Beckers, DGJ, Hopkins, ND, Graves, LEF, Carter, SE, Cochrane, M, Gavin, D
, Morris, AS, Lichtwarck-Aschoff, A, Geurts, SAE, Thijssen, DHJ & Bijleveld, E 2020, '
Temporal dynamics of sitting behavior at work',
Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 26, pp. 14883-14889.
https://doi.org/10.1073/pnas.2001284117APA
Ten Broeke, P., Olthof, M., Beckers, D. G. J., Hopkins, N. D., Graves, L. E. F., Carter, S. E., Cochrane, M., Gavin, D.
, Morris, A. S., Lichtwarck-Aschoff, A., Geurts, S. A. E., Thijssen, D. H. J., & Bijleveld, E. (2020).
Temporal dynamics of sitting behavior at work.
Proceedings of the National Academy of Sciences of the United States of America,
117(26), 14883-14889.
https://doi.org/10.1073/pnas.2001284117Vancouver
Ten Broeke P, Olthof M, Beckers DGJ, Hopkins ND, Graves LEF, Carter SE et al.
Temporal dynamics of sitting behavior at work.
Proceedings of the National Academy of Sciences of the United States of America. 2020 Jun 30;117(26):14883-14889. Epub 2020 Jun 15. doi: 10.1073/pnas.2001284117
Author
Ten Broeke, P. ; Olthof, M. ; Beckers, D.G.J. et al. /
Temporal dynamics of sitting behavior at work. In:
Proceedings of the National Academy of Sciences of the United States of America. 2020 ; Vol. 117, No. 26. pp. 14883-14889.
Bibtex
@article{106d398235374f65ab3d5fd3e10f1fad,
title = "Temporal dynamics of sitting behavior at work",
abstract = "Sitting for prolonged periods of time impairs people's health. Prior research has mainly investigated sitting behavior on an aggregate level, for example, by analyzing total sitting time per day. By contrast, taking a dynamic approach, here we conceptualize sitting behavior as a continuous chain of sit-to-stand and stand-to-sit transitions. We use multilevel time-to-event analysis to analyze the timing of these transitions. We analyze ∼30,000 objectively measured posture transitions from 156 people during work time. Results indicate that the temporal dynamics of sit-to-stand transitions differ from stand-to-sit transitions, and that people are quicker to switch postures later in the workday, and quicker to stand up after having been more active in the recent hours. We found no evidence for associations with physical fitness. Altogether, these findings provide insights into the origins of people's stand-up and sit-down decisions, show that sitting behavior is fundamentally different from exercise behavior, and provide pointers for the development of interventions.",
keywords = "fatigue, occupational health, sedentary behavior, survival analysis, time-to-event analysis",
author = "{Ten Broeke}, P. and M. Olthof and D.G.J. Beckers and N.D. Hopkins and L.E.F. Graves and S.E. Carter and M. Cochrane and D. Gavin and A.S. Morris and A. Lichtwarck-Aschoff and S.A.E. Geurts and D.H.J. Thijssen and E. Bijleveld",
year = "2020",
month = jun,
day = "30",
doi = "10.1073/pnas.2001284117",
language = "English",
volume = "117",
pages = "14883--14889",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "26",
}
RIS
TY - JOUR
T1 - Temporal dynamics of sitting behavior at work
AU - Ten Broeke, P.
AU - Olthof, M.
AU - Beckers, D.G.J.
AU - Hopkins, N.D.
AU - Graves, L.E.F.
AU - Carter, S.E.
AU - Cochrane, M.
AU - Gavin, D.
AU - Morris, A.S.
AU - Lichtwarck-Aschoff, A.
AU - Geurts, S.A.E.
AU - Thijssen, D.H.J.
AU - Bijleveld, E.
PY - 2020/6/30
Y1 - 2020/6/30
N2 - Sitting for prolonged periods of time impairs people's health. Prior research has mainly investigated sitting behavior on an aggregate level, for example, by analyzing total sitting time per day. By contrast, taking a dynamic approach, here we conceptualize sitting behavior as a continuous chain of sit-to-stand and stand-to-sit transitions. We use multilevel time-to-event analysis to analyze the timing of these transitions. We analyze ∼30,000 objectively measured posture transitions from 156 people during work time. Results indicate that the temporal dynamics of sit-to-stand transitions differ from stand-to-sit transitions, and that people are quicker to switch postures later in the workday, and quicker to stand up after having been more active in the recent hours. We found no evidence for associations with physical fitness. Altogether, these findings provide insights into the origins of people's stand-up and sit-down decisions, show that sitting behavior is fundamentally different from exercise behavior, and provide pointers for the development of interventions.
AB - Sitting for prolonged periods of time impairs people's health. Prior research has mainly investigated sitting behavior on an aggregate level, for example, by analyzing total sitting time per day. By contrast, taking a dynamic approach, here we conceptualize sitting behavior as a continuous chain of sit-to-stand and stand-to-sit transitions. We use multilevel time-to-event analysis to analyze the timing of these transitions. We analyze ∼30,000 objectively measured posture transitions from 156 people during work time. Results indicate that the temporal dynamics of sit-to-stand transitions differ from stand-to-sit transitions, and that people are quicker to switch postures later in the workday, and quicker to stand up after having been more active in the recent hours. We found no evidence for associations with physical fitness. Altogether, these findings provide insights into the origins of people's stand-up and sit-down decisions, show that sitting behavior is fundamentally different from exercise behavior, and provide pointers for the development of interventions.
KW - fatigue
KW - occupational health
KW - sedentary behavior
KW - survival analysis
KW - time-to-event analysis
U2 - 10.1073/pnas.2001284117
DO - 10.1073/pnas.2001284117
M3 - Journal article
VL - 117
SP - 14883
EP - 14889
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 26
ER -
