The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, 2100, Copenhagen, Denmark.
Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Eur Child Adolesc Psychiatry. 2021 Aug;30(8):1209-1221. doi: 10.1007/s00787-020-01611-7. Epub 2020 Aug 2.
Diagnostic evaluations and early interventions of patients with bipolar disorder (BD) rely on clinical evaluations. Smartphones have been proposed to facilitate continuous and fine-grained self-monitoring of symptoms. The present study aimed to (1) validate daily smartphone-based self-monitored mood, activity, and sleep, against validated questionnaires and clinical ratings in young patients with newly diagnosed BD, unaffected relatives (UR), and healthy controls persons (HC); (2) investigate differences in daily smartphone-based self-monitored mood, activity, and sleep in young patients with newly diagnosed BD, UR, and HC; (3) investigate associations between self-monitored mood and self-monitored activity and sleep, respectively, in young patients with newly diagnosed BD. 105 young patients with newly diagnosed BD, 24 UR and 77 HC self-monitored 2 to 1077 days (median [IQR] = 65 [17.5-112.5]). There was a statistically significantly negative association between the mood item on Hamilton Depression Rating Scale (HAMD) and smartphone-based self-monitored mood (B = - 0.76, 95% CI - 0.91; - 0.63, p < 0.001) and between psychomotor item on HAMD and self-monitored activity (B = - 0.44, 95% CI - 0.63; - 0.25, p < 0.001). Smartphone-based self-monitored mood differed between young patients with newly diagnosed BD and HC (p < 0.001), and between UR and HC (p = 0.008) and was positively associated with smartphone-based self-reported activity (p < 0.001) and sleep duration (p < 0.001). The findings support the potential of smartphone-based self-monitoring of mood and activity as part of a biomarker for young patients with BD and UR. Smartphone-based self-monitored mood is better to discriminate between young patients with newly diagnosed BD and HC, and between UR and HC, compared with smartphone-based activity and sleep.Trial registration clinicaltrials.gov NCT0288826.
(1) 验证基于智能手机的日常自我监测情绪、活动和睡眠与经验证的问卷和临床评分在新诊断为双相情感障碍 (BD) 的年轻患者、未受影响的亲属 (UR) 和健康对照者 (HC) 中的相关性；(2) 研究新诊断为 BD 的年轻患者、UR 和 HC 之间基于智能手机的日常自我监测情绪、活动和睡眠的差异；(3) 分别研究新诊断为 BD 的年轻患者自我监测情绪与自我监测活动和睡眠之间的相关性。105 名新诊断为 BD 的年轻患者、24 名 UR 和 77 名 HC 自我监测了 2 至 1077 天（中位数 [IQR] = 65 [17.5-112.5]）。汉密尔顿抑郁量表 (HAMD) 的情绪项目与基于智能手机的自我监测情绪（B = -0.76，95%CI -0.91；-0.63，p < 0.001）和 HAMD 的精神运动项目与自我监测活动（B = -0.44，95%CI -0.63；-0.25，p < 0.001）之间存在统计学上显著的负相关。新诊断为 BD 的年轻患者与 HC 之间的基于智能手机的自我监测情绪存在差异（p < 0.001），UR 与 HC 之间的差异（p = 0.008），与基于智能手机的自我报告活动（p < 0.001）和睡眠时间（p < 0.001）呈正相关。这些发现支持了基于智能手机的情绪和活动自我监测作为年轻 BD 患者和 UR 生物标志物的潜力。与基于智能手机的活动和睡眠相比，基于智能手机的自我监测情绪可以更好地区分新诊断为 BD 的年轻患者与 HC 之间的差异，以及 UR 与 HC 之间的差异。试验注册临床Trials.gov NCT0288826。
