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A Microanalysis of Mood and Self-Reported Functionality in Stroke Patients Using Ecological Momentary Assessment
Saskia D Forster1, Siegfried Gauggel1, Rebecca Loevenich1
1Institute for Medical Psychology and Medical Sociology, University Hospital of the RWTH Aachen, Aachen, Germany.
Frontiers in Neurology
|June 6, 2022
Summary
In stroke survivors, mood significantly impacts future self-reported functionality, but not vice versa. This study used ecological momentary assessments (EMA) to track daily mood and function in patients during rehabilitation.
Area of Science:
- Neurology
- Psychiatry
- Rehabilitation Medicine
Background:
- Post-stroke depression is linked to functional and cognitive deficits.
- Understanding the dynamic relationship between mood and function is crucial for stroke recovery.
Purpose of the Study:
- To microanalyze the association between mood and self-reported functionality in stroke patients.
- To investigate the temporal relationship between mood and functionality using ecological momentary assessments.
Main Methods:
- Ecological momentary assessments (EMA) via smartphone app recorded mood and self-reported functionality eight times daily for seven days in 20 stroke patients during inpatient rehabilitation.
- Multilevel regression analyses were employed to examine within- and between-patient variability.
Main Results:
- Mood and self-reported functionality were significantly associated at the same time point.
- Time-lagged analyses revealed that patients' mood predicted their subsequent self-reported functionality, but not the reverse.
- These findings persisted after controlling for age, illness awareness, and functional independence.
Conclusions:
- Patient mood influences their future perception of functionality during stroke rehabilitation.
- This highlights the importance of addressing mood disturbances to potentially improve functional outcomes in stroke survivors.
