Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

• Main Authors: Yuezhou Zhang (Author), Amos A Folarin (Author), Shaoxiong Sun (Author), Nicholas Cummins (Author), Srinivasan Vairavan (Author), Linglong Qian (Author), Yatharth Ranjan (Author), Zulqarnain Rashid (Author), Pauline Conde (Author), Callum Stewart (Author), Petroula Laiou (Author), Heet Sankesara (Author), Faith Matcham (Author), Katie M White (Author), Carolin Oetzmann (Author), Alina Ivan (Author), Femke Lamers (Author), Sara Siddi (Author), Sara Simblett (Author), Aki Rintala (Author), David C Mohr (Author), Inez Myin-Germeys (Author), Til Wykes (Author), Josep Maria Haro (Author), Brenda W J H Penninx (Author), Vaibhav A Narayan (Author), Peter Annas (Author), Matthew Hotopf (Author), Richard J B Dobson (Author)
• Format: Book
• Published: JMIR Publications, 2022-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundGait is an essential manifestation of depression. However, the gait characteristics of daily walking and their relationships with depression have yet to be fully explored. ObjectiveThe aim of this study was to explore associations between depression symptom severity and daily-life gait cha...