Smartphone assessment uncovers real-time relationships between depressed mood and daily functional behaviors after stroke

Author:

Bui Quoc1,Kaufman Katherine J2,Munsell Elizabeth GS23,Lenze Eric J4,Lee Jin-Moo5,Mohr David C6,Fong Mandy WM578,Metts Christopher L9,Tomazin Stephanie E2,Pham Vy4,Wong Alex WK210ORCID

Affiliation:

1. Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA

2. Center for Rehabilitation Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, USA

3. Center for Education in Health Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

4. Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA

5. Department of Neurology, Washington University School of Medicine, St Louis, MO, USA

6. Center for Behavioral Intervention Technologies and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

7. Psychology and Patient Family Counseling, Shirley Ryan AbilityLab, Chicago, IL, USA

8. Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

9. Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, USA

10. Department of Physical Medicine and Rehabilitation and Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

Abstract

Introduction The impact of depressed mood in daily life is difficult to investigate using traditional retrospective assessments, given daily or even within-day mood fluctuations in various contexts. This study aimed to use a smartphone-based ambulatory assessment to examine real-time relationships between depressed mood and functional behaviors among individuals with stroke. Methods A total of 202 participants with mild-to-moderate stroke (90% ischemic, 45% female, 44% Black) completed an ecological momentary assessment five times per day for 2 weeks by reporting their depressed mood and functional behaviors regarding where, with whom, and what activity was spent. Results Participants spent 28% of their wake-up time participating in passive leisure activities but spent the least time in physical (4%) and vocational (9%) activities. Depressed mood was concurrently lower when participants engaged in social activities (β = −0.023 ± 0.011) and instrumental activities of daily living (β = −0.061 ± 0.013); spent time with family members (β = −0.061 ± 0.014), spouses (β = −0.043, ± 0.016), friends (β = −0.094, ± 0.021), and coworkers (β = −0.050 ± 0.021); and were located in restaurants (β = −0.068 ± 0.029), and homes of family members (β = −0.039 ± 0.020) or friends (β = −0.069 ± 0.031). Greater depressed mood was associated with worse ratings in satisfaction, performance, and engagement of activities in concurrent (βs = −0.036 ± 0.003, −0.053 ± 0.003, −0.044 ± 0.003) and time-lagged models (βs = −0.011 ± 0.004, −0.012 ± 0.004, −0.013 ± 0.004). Discussion Smartphone-based ambulatory assessment can elucidate functional behaviors and associated mood after stroke. Findings support behavioral activation treatments to schedule social and instrumental activities for stroke survivors to reduce their depressed mood.

Funder

American Occupational Therapy Foundation

Center for Smart Use of Technologies to Assess Real-world Outcomes

National Center for Medical Rehabilitation Research

Publisher

SAGE Publications

Subject

Health Informatics

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