Daily adolescent sleep, Mexico 2019 [dataset]

Data on sleep behaviour, daily physical activity and ambient light was collected via Motionlogger Micro Watch units (Ambulatory Monitoring Inc., US). The actigraphs were set for 1-min epochs in the Zero Crossing Mode (ZCM). Participants between 11 and 16 years old wore the actigraphy devices during 10 days (six work days and four free days) for 24 hours. Adolescents were asked to press the event logger button before any sleep event across the study. The actigraphy records were analyzed with the ActionW 2.7 software employing the Sadeh algorithm to characterize the sleep-wake behaviour of adolescents. We used sleep diaries to further validate the accuracy of sleep scores generated by the software. When encountering a nap episode, missing data (caused by a watch malfunction or off-wrist period) or additional information regarding the participant's sleep-wake behaviour derived from sleep diary, the analyst edited the scores manually.

本研究通过美国Ambulatory Monitoring公司生产的Motionlogger Micro Watch可穿戴设备，采集了青少年受试者的睡眠行为、日常体力活动及环境光照相关数据。本次研究所用的活动记录仪（actigraph）被设置为过零模式（Zero Crossing Mode, ZCM），以1分钟为计时单元采集数据。年龄介于11至16岁的青少年受试者需连续10天（含6个工作日与4个休息日）每日24小时佩戴该设备。研究期间，受试者需在发生任意睡眠相关事件前按下事件记录按钮。本研究采用ActionW 2.7软件结合Sadeh算法，对活动记录仪的记录数据进行分析，以刻画青少年的睡眠-觉醒行为特征。本研究辅以睡眠日记，对软件生成的睡眠评分准确性开展进一步验证工作。当遇到午睡时段、因设备故障或未佩戴设备导致的数据缺失，或从睡眠日记中获取到受试者睡眠-觉醒行为的补充信息时，分析人员将手动修正睡眠评分。