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.

Original languageEnglish
Pages (from-to)871-884
Number of pages14
JournalJournal of Telemedicine and Telecare
Volume30
Issue number5
DOIs
StatePublished - Jun 2024

Keywords

  • Telemedicine
  • ambulatory assessment
  • daily functional behaviors
  • depression
  • ecological momentary assessment
  • mobile health
  • smartphone
  • stroke

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