TY - JOUR
T1 - The Annual Rhythms in Sleep, Sedentary Behavior, and Physical Activity of Australian Adults: A Prospective Cohort Study
AU - Ferguson, Ty
AU - Curtis, Rachel
AU - Fraysse, François
AU - Olds, Timothy
AU - Dumuid, Dorothea
AU - Brown, Wendy
AU - Esterman, Adrian
AU - Maher, Carol
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Background:Sleep, sedentary behavior, and physical activity have fundamental impacts on health and well-being. Little is known about how these behaviors vary across the year. Purpose:To investigate how movement-related behaviors change across days of the week and seasons, and describe movement patterns across a full year and around specific temporal events. Methods:This cohort study included 368 adults (mean age = 40.2 years [SD = 5.9]) who wore Fitbit activity trackers for 12 months to collect minute-by-minute data on sleep, sedentary behavior, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Data were analyzed descriptively, as well as through multilevel mixed-effects linear regression to explore associations with specific temporal cycles (day-of-the-week, season) and events. Results:Movement patterns varied significantly by day-of-the-week and season, as well as during annual events like Christmas-New Year and daylight saving time (DST) transitions. For example, sleep was longer on weekends (+32 min/day), during autumn and winter relative to summer (+4 and +11 min/day), and over Christmas-NewYear (+24 min/day). Sedentary behavior was longer on weekdays, during winter, after Christmas-NewYear, and after DST ended (+45, +7, +12, and +8 min/day, respectively). LPA was shorter in autumn, winter, and during and after Christmas-NewYear (−6, −15, −17, and −31 min/day, respectively). Finally, there was less MVPA on weekdays and during winter (−5 min/day and −2 min/day, respectively). Conclusions:Across the year, there were notable variations in movement behaviors. Identifying high-risk periods for unfavorable behavior changes may inform time-targeted interventions and health messaging.
AB - Background:Sleep, sedentary behavior, and physical activity have fundamental impacts on health and well-being. Little is known about how these behaviors vary across the year. Purpose:To investigate how movement-related behaviors change across days of the week and seasons, and describe movement patterns across a full year and around specific temporal events. Methods:This cohort study included 368 adults (mean age = 40.2 years [SD = 5.9]) who wore Fitbit activity trackers for 12 months to collect minute-by-minute data on sleep, sedentary behavior, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Data were analyzed descriptively, as well as through multilevel mixed-effects linear regression to explore associations with specific temporal cycles (day-of-the-week, season) and events. Results:Movement patterns varied significantly by day-of-the-week and season, as well as during annual events like Christmas-New Year and daylight saving time (DST) transitions. For example, sleep was longer on weekends (+32 min/day), during autumn and winter relative to summer (+4 and +11 min/day), and over Christmas-NewYear (+24 min/day). Sedentary behavior was longer on weekdays, during winter, after Christmas-NewYear, and after DST ended (+45, +7, +12, and +8 min/day, respectively). LPA was shorter in autumn, winter, and during and after Christmas-NewYear (−6, −15, −17, and −31 min/day, respectively). Finally, there was less MVPA on weekdays and during winter (−5 min/day and −2 min/day, respectively). Conclusions:Across the year, there were notable variations in movement behaviors. Identifying high-risk periods for unfavorable behavior changes may inform time-targeted interventions and health messaging.
UR - http://www.scopus.com/inward/record.url?scp=85187685618&partnerID=8YFLogxK
U2 - 10.1093/abm/kaae007
DO - 10.1093/abm/kaae007
M3 - Article
C2 - 38394346
AN - SCOPUS:85187685618
SN - 0883-6612
VL - 58
SP - 286
EP - 295
JO - Annals of Behavioral Medicine
JF - Annals of Behavioral Medicine
IS - 4
ER -