Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study
arxiv(2024)
摘要
Prior research has shown that changes in seasons and weather can have a
significant impact on depression severity. However, findings are inconsistent
across populations, and the interplay between weather, behavior, and depression
has not been fully quantified. This study analyzed real-world data from 428
participants (a subset; 68.7
mobile health study to investigate seasonal variations in depression (measured
through a remote validated assessment - PHQ-8) and examine the potential
interplay between dynamic weather changes, physical activity (monitored via
wearables), and depression severity. The clustering of PHQ-8 scores identified
four distinct seasonal variations in depression severity: one stable trend and
three varying patterns where depression peaks in different seasons. Among these
patterns, participants within the stable trend had the oldest average age
(p=0.002) and the lowest baseline PHQ-8 score (p=0.003). Mediation analysis
assessing the indirect effect of weather on physical activity and depression
showed significant differences among participants with different affective
responses to weather. These findings illustrate the heterogeneity in
individuals' seasonal depression variations and responses to weather,
underscoring the necessity for personalized approaches to help understand the
impact of environmental factors on the real-world effectiveness of behavioral
treatments.
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