GPS Mobility and Mood in Mood Disorders
Author Information
Author(s): de Azevedo Cardoso Taiane, Lamers Femke, de Filippis Rocco, Simons C, Lee Ting-Yi, Chen Ching-Hsuan, Chen I-Ming, Chen Hsi-Chung, Liu Chih-Min, Wu Shu-I, Hsiao Chuhsing Kate, Kuo Po-Hsiu
Primary Institution: National Taiwan University
Hypothesis
This study aims to investigate the bidirectional time lag relationships between passive GPS data and active ecological momentary assessment (EMA) data collected via smartphone app technology.
Conclusion
The study demonstrates that monitoring location variance and homestay can provide valuable insights into mood disorders, suggesting that increased homestay is linked to higher levels of fatigue and depressed mood.
Supporting Evidence
- Significant negative correlation between location variance and depressed mood.
- Changes in homestay were positively associated with fatigue and depressed mood.
- An increase in depressed mood was significantly associated with reduced location variance the next day.
Takeaway
The study shows that how much people move around can affect their mood, and how they feel can also change how much they move.
Methodology
The study collected passive GPS data and active EMA data from 45 participants over 6 months, focusing on mood and mobility patterns.
Potential Biases
Potential selection bias due to the exclusion of iOS users and loss to follow-up.
Limitations
The study had a small sample size and was limited to Android users, which may affect the generalizability of the findings.
Participant Demographics
Participants included 38 individuals aged 20-65, with 63% being female and diagnosed with mood disorders.
Statistical Information
P-Value
P=.009 for location variance and depressed mood association.
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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