Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals

AbstractDiagnostic 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 smartpho...
Source: European Child and Adolescent Psychiatry - Category: Psychiatry Source Type: research