Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia.
School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, QLD, Australia.
Int J Behav Nutr Phys Act. 2023 Mar 14;20(1):30. doi: 10.1186/s12966-023-01414-4.
Weather is a potentially important influence on how time is allocated to sleep, sedentary behaviour and physical activity across the 24-h day. Extremes of weather (very hot, cold, windy or wet) can create undesirable, unsafe outdoor environments for exercise or active transport, impact the comfort of sleeping environments, and increase time indoors. This 13-month prospective cohort study explored associations between weather and 24-h movement behaviour patterns.
Three hundred sixty-eight adults (mean age 40.2 years, SD 5.9, 56.8% female) from Adelaide, Australia, wore Fitbit Charge 3 activity trackers 24 h a day for 13 months with minute-by-minute data on sleep, sedentary behaviour, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) collected remotely. Daily weather data included temperature, rainfall, wind, cloud and sunshine. Multi-level mixed-effects linear regression analyses (one model per outcome) were used.
Ninety thousand eight hundred one days of data were analysed. Sleep was negatively associated with minimum temperature (-12 min/day change across minimum temperature range of 31.2 °C, p = 0.001). Sedentary behaviour was positively associated with minimum temperature (+ 12 min/day, range = 31.2 oC, p = 0.006) and wind speed (+ 10 min/day, range = 36.7 km/h, p< 0.001), and negatively associated with sunshine (-17 min/day, range = 13.9 h, p < 0.001). LPA was positively associated with minimum temperature (+ 11 min/day, range = 31.2 °C, p = 0.002), cloud cover (+ 4 min/day, range = 8 eighths, p = 0.008) and sunshine (+ 17 min/day, range = 13.9 h, p < 0.001), and negatively associated with wind speed (-8 min/day, range = 36.7 km/h, p < 0.001). MVPA was positively associated with sunshine (+ 3 min/day, range = 13.9 h, p < 0.001) and negatively associated with minimum temperature (-13 min/day, range = 31.2 oC, p < 0.001), rainfall (-3 min/day, range = 33.2 mm, p = 0.006) and wind speed (-4 min/day, range = 36.7 km/h, p < 0.001). For maximum temperature, a significant (p < 0.05) curvilinear association was observed with sleep (half-U) and physical activity (inverted-U), where the decrease in sleep duration appeared to slow around 23 °C, LPA peaked at 31 oC and MVPA at 27 °C.
Generally, adults tended to be less active and more sedentary during extremes of weather and sleep less as temperatures rise. These findings have the potential to inform the timing and content of positive movement behaviour messaging and interventions.
The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).
天气可能是影响 24 小时内睡眠、久坐行为和体力活动时间分配的一个重要因素。天气极端(非常炎热、寒冷、刮风或潮湿)会给户外锻炼或主动出行创造不适宜、不安全的环境,影响睡眠环境的舒适度,并增加室内时间。这项为期 13 个月的前瞻性队列研究探讨了天气与 24 小时运动行为模式之间的关联。
来自澳大利亚阿德莱德的 368 名成年人(平均年龄 40.2 岁,标准差 5.9,56.8%为女性)佩戴 Fitbit Charge 3 活动追踪器 24 小时,每天有关于睡眠、久坐行为、低强度体力活动(LPA)和中高强度体力活动(MVPA)的分钟级数据远程采集。每日天气数据包括温度、降雨量、风、云和日照。使用多水平混合效应线性回归分析(每个结果一个模型)。
分析了 9 万 801 天的数据。睡眠与最低温度呈负相关(最低温度范围为 31.2°C 时,每天减少 12 分钟,p=0.001)。久坐行为与最低温度呈正相关(每天增加 12 分钟,范围为 31.2°C,p=0.006)和风速呈正相关(每天增加 10 分钟,范围为 36.7 公里/小时,p<0.001),与日照呈负相关(每天减少 17 分钟,范围为 13.9 小时,p<0.001)。LPA 与最低温度呈正相关(每天增加 11 分钟,范围为 31.2°C,p=0.002),与云量呈正相关(每天增加 4 分钟,范围为 8 分,p=0.008)和日照呈正相关(每天增加 17 分钟,范围为 13.9 小时,p<0.001),与风速呈负相关(每天减少 8 分钟,范围为 36.7 公里/小时,p<0.001)。MVPA 与日照呈正相关(每天增加 3 分钟,范围为 13.9 小时,p<0.001),与最低温度呈负相关(每天减少 13 分钟,范围为 31.2°C,p<0.001),与降雨量呈负相关(每天减少 3 分钟,范围为 33.2 毫米,p=0.006)和风速呈负相关(每天减少 4 分钟,范围为 36.7 公里/小时,p<0.001)。对于最高温度,观察到睡眠(半 U)和体力活动(倒 U)的显著(p<0.05)曲线关联,随着温度升高,睡眠时间的减少似乎在 23°C 左右放缓,LPA 在 31°C 时达到峰值,MVPA 在 27°C 时达到峰值。
一般来说,成年人在天气极端和温度升高时往往不太活跃,久坐时间更长,睡眠时间减少。这些发现有可能为积极运动行为信息传递和干预的时间和内容提供信息。
该研究在澳大利亚和新西兰临床试验注册处(注册号:ACTRN12619001430123)进行了前瞻性注册。