Related Experiment Video
Updated: Sep 26, 2026

Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation
Published on: June 5, 2026
Green space exposure predicts manic episodes in bipolar disorder: one year longitudinal analysis using
Marvin Guth1, Carl A Bittendorf2, Clemens Krug3
1Faculty of Sport Science, Department of eHealth and Sports Analytics, Ruhr-University Bochum, Bochum, Germany. Marvin.Guth@rub.de.
Abstract:
Urban living is linked to increased psychiatric morbidity, while green spaces may protect mental health via stress-buffering effects. Yet, the role of green space exposure in the onset of affective episodes in bipolar disorder (BD) remains unclear. Using 12 months of GPS data from 29 participants with BD-I/II, we quantified daily exposure to green spaces (green area & NDVI; covariates: population density & imperviousness). Affective status (euthymia, depressive or (hypo)manic episode) was assessed via SCID-based biweekly clinician interviews (26 assessments per participant). Multilevel logistic regression examined moving averages and temporal variance of green space exposure during prodromal and episode weeks relative to euthymia. Reduced mean green space exposure and increased exposure variability were consistently associated with prodromal phases of (hypo)manic episodes, with variance effects persisting into acute (hypo)mania. In contrast, depressive episodes showed limited prodromal predictability. These findings suggest dynamic environmental signatures consistent with early-warning dynamics as modifiable contextual correlates in BD.

