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
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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. / Melbye, Sigurd Arne; Stanislaus, Sharleny; Vinberg, Maj; Frost, Mads; Bardram, Jakob Eyvind; Sletved, Kimie; Coello, Klara; Kjærstad, Hanne Lie; Christensen, Ellen Margrethe; Faurholt-Jepsen, Maria; Kessing, Lars Vedel.
In: European Child and Adolescent Psychiatry, Vol. 30, 2021, p. 1209–1221.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - 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
AU - Melbye, Sigurd Arne
AU - Stanislaus, Sharleny
AU - Vinberg, Maj
AU - Frost, Mads
AU - Bardram, Jakob Eyvind
AU - Sletved, Kimie
AU - Coello, Klara
AU - Kjærstad, Hanne Lie
AU - Christensen, Ellen Margrethe
AU - Faurholt-Jepsen, Maria
AU - Kessing, Lars Vedel
N1 - Publisher Copyright: © 2020, The Author(s).
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Activity
KW - Bipolar disorder
KW - Mood
KW - Sleep
KW - Smartphones
U2 - 10.1007/s00787-020-01611-7
DO - 10.1007/s00787-020-01611-7
M3 - Journal article
C2 - 32743692
AN - SCOPUS:85088823546
VL - 30
SP - 1209
EP - 1221
JO - European Child and Adolescent Psychiatry, Supplement
JF - European Child and Adolescent Psychiatry, Supplement
SN - 1433-5719
ER -
ID: 271619078