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

Abstract 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...

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Enregistré dans:
Auteurs principaux: Abigail Ortiz, Ramzi Halabi, Martin Alda, Alexandra DeShaw, Muhammad I. Husain, Abraham Nunes, Claire O’Donovan, Rachel Patterson, Benoit H. Mulsant, Arend Hintze
Format: Artigo
Langue:Inglês
Publié: SpringerOpen 2025-04-01
Collection:International Journal of Bipolar Disorders
Sujets:
Bipolar disorder
Wearable technology
Densely-sampled
Mood variability
Activity
Sleep
Accès en ligne:https://doi.org/10.1186/s40345-025-00379-6
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