Rod Naja Hulvej, Andersen Thea Otte, Severinsen Elin Rosenbek, Sejling Christoffer, Dissing Agnete, Pham Vi Thanh, Nygaard Mette, Schmidt Lise Kristine Højsgaard, Drews Henning Johannes, Varga Tibor, Freiesleben Nina La Cour, Nielsen Henriette Svarre, Jensen Andreas Kryger
Department of Public Health, University of Copenhagen, Copenhagen, Denmark
Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
BMJ Open. 2023 Oct 4;13(10):e063588. doi: 10.1136/bmjopen-2022-063588.
The is established to comprehensively assess the impact of night-time smartphone use on sleep patterns and health. An innovative combination of large-scale repeated survey information, high-resolution sensor-driven smartphone data, in-depth clinical examination and registry linkage allows for detailed investigations into multisystem physiological dysregulation and long-term health consequences associated with night-time smartphone use and sleep impairment.
The consists of three interconnected data samples, which combined include 30 673 individuals with information on smartphone use, sleep and health. Subsamples of the study population also include high-resolution tracking data (n=5927) collected via a customised app and deep clinical phenotypical data (n=245). A total of 7208 participants are followed in nationwide health registries with full data coverage and long-term follow-up.
We highlight previous findings on the relation between smartphone use and sleep in the , and we evaluate the interventional potential of the citizen science approach used in one of the data samples. We also present new results from an analysis in which we use 803 000 data points from the high-resolution tracking data to identify clusters of temporal trajectories of night-time smartphone use that characterise distinct use patterns. Based on these objective tracking data, we characterise four clusters of night-time smartphone use.
The unprecedented size and coverage of the allow for a comprehensive documentation of smartphone activity during the entire sleep span. The study has been expanded by linkage to nationwide registers, which allow for further investigations into the long-term health and social consequences of night-time smartphone use. We also plan new rounds of data collection in the coming years.
本研究旨在全面评估夜间使用智能手机对睡眠模式和健康的影响。大规模重复调查信息、高分辨率传感器驱动的智能手机数据、深入的临床检查以及登记联动的创新组合，使得我们能够详细调查与夜间使用智能手机和睡眠障碍相关的多系统生理失调及长期健康后果。
本研究由三个相互关联的数据样本组成，总共涵盖30673名拥有智能手机使用、睡眠和健康信息的个体。研究人群的子样本还包括通过定制应用程序收集的高分辨率跟踪数据（n = 5927）和深度临床表型数据（n = 245）。共有7208名参与者被纳入全国健康登记系统，这些登记系统具备完整的数据覆盖和长期随访功能。
我们强调了该研究中先前关于智能手机使用与睡眠关系的研究结果，并评估了其中一个数据样本所采用的公民科学方法的干预潜力。我们还展示了一项分析的新结果，在该分析中，我们使用了来自高分辨率跟踪数据的803000个数据点，以识别夜间智能手机使用的时间轨迹集群，这些集群表征了不同的使用模式。基于这些客观跟踪数据，我们确定了夜间智能手机使用的四类模式。
本研究前所未有的规模和覆盖范围，使得我们能够全面记录整个睡眠期间的智能手机活动情况。通过与全国登记系统的联动，本研究得到了扩展，这使得我们能够进一步调查夜间使用智能手机对长期健康和社会的影响。我们还计划在未来几年进行新一轮的数据收集。
