Day-to-day variability in activity levels detects transitions to depressive symptoms in bipolar disorder earlier than changes in sleep and mood

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F25%3A43921497" target="_blank" >RIV/00023752:_____/25:43921497 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1186/s40345-025-00379-6" target="_blank" >https://doi.org/10.1186/s40345-025-00379-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s40345-025-00379-6" target="_blank" >10.1186/s40345-025-00379-6</a>

Result language

angličtina

Original language name

Day-to-day variability in activity levels detects transitions to depressive symptoms in bipolar disorder earlier than changes in sleep and mood

Original language description

Anticipating clinical transitions in bipolar disorder (BD) is essential for the development of clinically actionable predictions. Our aim was to determine what is the earliest indicator of the onset of depressive symptoms in BD. We hypothesized that changes in activity would be the earliest indicator of future depressive symptoms. The study was a prospective, observational, contactless study. Participants were 127 outpatients with a primary diagnosis of BD, followed up for 12.6 (5.7) [(mean (SD)] months. They wore a smart ring continuously, which monitored their daily activity and sleep parameters. Participants were also asked to complete weekly self-ratings using the Patient Health Questionnaire (PHQ-9) and Altman Self-Rating Mania Scale (ASRS) scales. Primary outcome measures were depressive symptom onset detection metrics (i.e., accuracy, sensitivity, and specificity); and detection delay (in days), compared between self-rating scales and wearable data. Depressive symptoms were labeled as two or more consecutive weeks of total PHQ-9 &gt; 10, and data-driven symptom onsets were detected using time-frequency spectral derivative spike detection (TF-SD2). Our results showed that day-to-day variability in the number of steps anticipated the onset of depressive symptoms 7.0 (9.0) (median (IQR)) days before they occurred, significantly earlier than the early prediction window provided by deep sleep duration (median (IQR), 4.0 (5.0) days; p &lt;.05). Taken together, our results demonstrate that changes in activity were the earliest indicator of depressive symptoms in participants with BD. Transition to dynamic representations of behavioral phenomena in psychiatry may facilitate episode forecasting and individualized preventive interventions.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30215 - Psychiatry

Project

<a href="/en/project/NU23-04-00534" target="_blank" >NU23-04-00534: Genomics of physiological regulations in bipolar disorder</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Bipolar Disorders

ISSN

2194-7511

e-ISSN

2194-7511

Volume of the periodical

13

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

12

Pages from-to

1-12

UT code for WoS article

001458241700001

EID of the result in the Scopus database

2-s2.0-105001723805