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.
Activity
Bipolar disorder
Mood
Sleep
Smartphones
Journal
European child & adolescent psychiatry
ISSN: 1435-165X
Titre abrégé: Eur Child Adolesc Psychiatry
Pays: Germany
ID NLM: 9212296
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
14
04
2020
accepted:
27
07
2020
pubmed:
4
8
2020
medline:
21
10
2021
entrez:
4
8
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32743692
doi: 10.1007/s00787-020-01611-7
pii: 10.1007/s00787-020-01611-7
pmc: PMC8310852
doi:
Banques de données
ClinicalTrials.gov
['NCT02888262']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1209-1221Subventions
Organisme : H2020 Marie Skłodowska-Curie Actions
ID : 722561
Informations de copyright
© 2020. The Author(s).
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