Fellendorf Frederike T, Hamm Carlo, Dalkner Nina, Platzer Martina, Sattler Matteo C, Bengesser Susanne A, Lenger Melanie, Pilz Rene, Birner Armin, Queissner Robert, Tmava-Berisha Adelina, Ratzenhofer Michaela, Maget Alexander, van Poppel Mireille, Reininghaus Eva Z
Department of Psychiatry & Psychotherapeutic Medicine, Medical University Graz, Graz, Austria.
Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria.
Front Psychiatry. 2021 Mar 24;12:641241. doi: 10.3389/fpsyt.2021.641241. eCollection 2021.
Sleep disturbances are common early warning signs of an episode of bipolar disorder, and early recognition can favorably impact the illness course. Symptom monitoring via a smartphone app is an inexpensive and feasible method to detect an early indication of changes such as sleep. The study aims were (1) to assess the acceptance of apps and (2) to validate sleeping times measured by the smartphone app . was used by 22 individuals with bipolar disorder and 23 controls. Participants recorded their time of falling asleep and waking-up using for 3 weeks. Results were compared to a validated accelerometer and the Pittsburgh Sleep Quality Index. Additionally, participants were interviewed regarding early warning signs and their feedback for apps as monitoring tools in bipolar disorder (NCT03275714). With , our study did not find strong reservations concerning data protection or continual smartphone usage. Correlation analysis demonstrates to be a valid tool for measuring falling asleep and waking-up times. Individuals with bipolar disorder assessed the measurement of sleep disturbances as an early warning sign with a smartphone as positive. The detection of early signs could change an individual's behavior and strengthen self-management. The study showed that can be used to measure changes in sleep durations accurately. Further investigation of smartphone apps' impact to measure other early signs could significantly contribute to clinical treatment and research in the future through objective, continuous, and individual data collection.
睡眠障碍是双相情感障碍发作的常见早期预警信号,早期识别可对疾病进程产生有利影响。通过智能手机应用程序进行症状监测是一种检测睡眠等变化早期迹象的廉价且可行的方法。该研究的目的是:(1)评估应用程序的可接受性;(2)验证智能手机应用程序测量的睡眠时间。22名双相情感障碍患者和23名对照者使用了该应用程序。参与者使用该应用程序记录他们入睡和醒来的时间,为期3周。将结果与经过验证的加速度计和匹兹堡睡眠质量指数进行比较。此外,就早期预警信号以及他们对作为双相情感障碍监测工具的应用程序的反馈对参与者进行了访谈(临床试验注册号:NCT03275714)。关于数据保护或持续使用智能手机,我们的研究没有发现强烈的保留意见。相关性分析表明该应用程序是测量入睡和醒来时间的有效工具。双相情感障碍患者认为使用智能手机测量睡眠障碍作为早期预警信号是积极的。早期迹象的检测可以改变个人行为并加强自我管理。该研究表明该应用程序可用于准确测量睡眠时间的变化。通过客观、持续和个性化的数据收集,进一步研究智能手机应用程序对测量其他早期迹象的影响可能会在未来对临床治疗和研究做出重大贡献。