Ferguson Ty, Curtis Rachel, Fraysse François, Olds Timothy, Dumuid Dorothea, Brown Wendy, Esterman Adrian, Maher Carol
Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, City East Campus, Frome Road, GPO Box 2471, Adelaide, SA, 5001, Australia.
School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Queensland 4072, Australia.
Ann Behav Med. 2024 Mar 12;58(4):286-295. doi: 10.1093/abm/kaae007.
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.
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.
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.
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-New Year (+24 min/day). Sedentary behavior was longer on weekdays, during winter, after Christmas-New Year, and after DST ended (+45, +7, +12, and +8 min/day, respectively). LPA was shorter in autumn, winter, and during and after Christmas-New Year (-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).
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.
睡眠、久坐行为和身体活动对健康和幸福有着根本性的影响。关于这些行为在一年中的变化情况,人们知之甚少。
研究与运动相关的行为在一周中的不同日子和季节如何变化,并描述全年以及特定时间事件前后的运动模式。
这项队列研究纳入了368名成年人(平均年龄 = 40.2岁[标准差 = 5.9]),他们佩戴Fitbit活动追踪器12个月,以收集关于睡眠、久坐行为、轻度身体活动(LPA)和中度至剧烈身体活动(MVPA)的逐分钟数据。对数据进行了描述性分析,并通过多水平混合效应线性回归来探索与特定时间周期(一周中的日子、季节)和事件的关联。
运动模式在一周中的日子、季节以及圣诞节 - 新年和夏令时(DST)转换等年度事件期间有显著差异。例如,周末的睡眠时间更长(每天多32分钟),秋季和冬季相对于夏季睡眠时间更长(分别多4分钟和11分钟),圣诞节 - 新年期间睡眠时间更长(每天多24分钟)。工作日、冬季、圣诞节 - 新年之后以及夏令时结束后久坐行为的时间更长(分别多45分钟、7分钟、12分钟和8分钟)。秋季、冬季以及圣诞节 - 新年期间和之后的轻度身体活动时间更短(分别少6分钟、15分钟、17分钟和31分钟)。最后,工作日和冬季的中度至剧烈身体活动较少(分别少5分钟和2分钟)。
全年的运动行为存在显著差异。识别不良行为变化的高危期可能为有针对性的干预措施和健康信息提供依据。