Physical Activity Trajectories Preceding Incident Major Depressive Disorder Diagnosis Using Consumer Wearable Devices in the All of Us Research Program: Case-Control Study
Yuezhou Zhang, Amos Folarin, Hugh Logan Ellis, Rongrong Zhong, Callum Stewart, Heet Sankesara, Hyunju Kim, Shaoxiong Sun, Abhishek Pratap, Richard JB Dobson

TL;DR
This study used long-term wearable device data to identify physical activity decline patterns in the year before a major depressive disorder diagnosis, revealing potential early warning signals for intervention.
Contribution
It is the first to characterize detailed physical activity trajectories prior to MDD diagnosis using objective wearable data in a large cohort.
Findings
Consistent decline in activity levels among cases before diagnosis
Declines in activity appeared approximately 4-5 months prior to diagnosis
Subgroup differences showed steeper declines in men and older individuals
Abstract
Low physical activity is a known risk factor for major depressive disorder (MDD), but changes in activity before a first clinical diagnosis remain unclear, especially using long-term objective measurements. This study characterized trajectories of wearable-measured physical activity during the year preceding incident MDD diagnosis. We conducted a retrospective nested case-control study using linked electronic health record and Fitbit data from the All of Us Research Program. Adults with at least 6 months of valid wearable data in the year before diagnosis were eligible. Incident MDD cases were matched to controls on age, sex, body mass index, and index time (up to four controls per case). Daily step counts and moderate-to-vigorous physical activity (MVPA) were aggregated into monthly averages. Linear mixed-effects models compared trajectories from 12 months before diagnosis to…
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Taxonomy
TopicsPhysical Activity and Health · Digital Mental Health Interventions · Mobile Health and mHealth Applications
