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Importance: Because depressive symptoms are momentarily associated with lower levels of participation poststroke, it is crucial to investigate what moderates such associations to identify a potential intervention target to reduce the momentary links between depressive symptoms and participation poststroke. Self-regulation seems to be a potential moderator of such associations. Objective: To investigate the extent to which difficulties in self-regulation moderate the momentary associations between depressive symptoms and participation poststroke. Design: This study uses a real-time, repeated-measures design using smartphone-based ecological momentary assessment surveys five times a day for 10 days. We performed multilevel modeling to uncover the momentary associations among the study variables. Setting: Community. Participants: 39 people with stroke. Outcomes and Measures: We obtained real-time data for difficulties in self-regulation (total, cognitive, behavioral, and emotion regulation), depressive symptoms, and participation in daily activities (performance in daily activities and satisfaction with performing daily activities). Results: We included 1,612 survey responses in the analysis. Higher depressive symptoms were momentarily associated with lower levels of performance (β = −0.05 to −0.07, p <.001) and satisfaction (β = −0.04 to −0.06, p <.05), regardless of adjusting for self-regulation variables and other covariates. Difficulties in total self-regulation (β = −0.01, p <.001) and emotion regulation (β = −0.02, p <.001) magnified the negative associations between depressive symptoms and satisfaction with performing daily activities. Conclusions and Relevance: Using self-regulation and emotion regulation strategies may be a target for just-in-time intervention for reducing the momentary associations between depressive symptoms and satisfaction with performing daily activities poststroke. Plain-Language Summary: Depressive symptoms have immediate and real-time associations with lower levels of participation in daily activities in people with stroke. Self-regulation, including cognitive regulation (e.g. goal setting, planning strategies), behavioral regulation (e.g. controlling impulsive behaviors), and emotion regulation (e.g. managing negative feelings), may be an intervention target for reducing the immediate associations between depressive symptoms and lower levels of participation poststroke. Thus, we investigated whether difficulties in self-regulation variables magnify the negative real-time associations between depressive symptoms and participation poststroke. To obtain real-time data on difficulties in self-regulation variables, depressive symptoms, and participation (i.e. performance and satisfaction), we asked 39 community-dwelling people with stroke to answer smartphone surveys. The results showed that difficulties in total self-regulation and emotion regulation magnified the negative associations between depressive symptoms and satisfaction with performing daily activities. Our findings suggest that self-regulation and emotion regulation strategies may be a target for real-time intervention for reducing the momentary associations between depressive symptoms and satisfaction with performing daily activities poststroke. The authors investigated whether difficulties in self-regulation magnify the negative real-time associations between depressive symptoms and participation in daily activities in people poststroke. [ABSTRACT FROM AUTHOR]

Background: Half of all strokes are classified as mild, and most mild stroke survivors are discharged home after their initial hospitalization without any post-acute rehabilitation despite experiencing cognitive, psychosocial, motor, and mobility impairments. Objectives: To investigate the demographic and clinical characteristics of mild stroke survivors and their association with discharge location. Methods: This is a retrospective analysis of mild stroke survivors from 2015–2023 in an academic medical center. Demographic characteristics, clinical measures, and discharge locations were obtained from the electronic health record. The Social Vulnerability Index was used to measure the community vulnerability. Associations between variables and discharge location were examined using bivariate logistic regression analysis. Results: There were 2,953 mild stroke survivors included in this study. The majority of participants were White (65.46%), followed by Black (19.40%). Black stroke survivors and individuals with higher social vulnerability had a higher proportion of discharges to skilled nursing facilities (p = 0.001). Black patients and patients with high vulnerability in housing type and transportation were less likely to be discharged home. Conclusions: Mild stroke survivors have a high rate of home discharge, potentially because less severe stroke symptoms have a reduced need for intensive care. Racial disparities in discharge location were evident, with Black stroke survivors experiencing higher rates of institutionalized care and lower likelihood of being discharged home compared to White counterparts, emphasizing the importance of addressing these disparities for equitable healthcare delivery and optimal outcomes. [ABSTRACT FROM AUTHOR]

People post-stroke experience increased loneliness, compared to their healthy peers and loneliness may have increased during COVID due to social distancing. How social distancing affected loneliness among people after stroke is unknown. Bandura's self-efficacy theory suggests that self-efficacy may be a critical component affecting individuals' emotions, behaviors, attitudes, and interpretation of everyday situations. Additionally, previous studies indicate that self-efficacy is associated with both loneliness and social participation. This study investigates relationships among self-efficacy, social participation, and loneliness in people with stroke. Determine how social participation affects the relationship between self-efficacy and loneliness in people with stroke during the COVID-19 pandemic. 44 participants were community-dwelling individuals, ≥ 6 months post-stroke who participated in a 2-hour phone interview. A regression-based mediation analysis was conducted using these measures: Participation Strategies Self-Efficacy Scale, Activity Card Sort for social participation, and UCLA Loneliness Scale for loneliness. The total effect of self-efficacy on loneliness was significant (b = -0.36, p =.01). However, social participation fully mediated the relationship between self-efficacy and loneliness (indirect effect, b = -0.11, 95% CI [−0.24, −0.01]; direct effect, b = -0.25, 95% CI [−0.03, 0]). Self-efficacy is associated with both social participation and loneliness in people with stroke in this cross-sectional study. Mediation analysis findings suggest that interventions focused on increasing social participation may prevent or potentially alleviate loneliness in people with stroke who have low self-efficacy. [ABSTRACT FROM AUTHOR]

Background: Mild stroke affects more than half the stroke population, yet there is limited evidence characterizing cognition over time in this population, especially with predictive approaches applicable at the individual-level. We aimed to identify patterns of recovery and the best combination of demographic, clinical, and lifestyle factors predicting individual-level cognitive state at 3- and 12-months after mild stroke. Methods: In this prospective cohort study, the Montreal Cognitive Assessment (MoCA) was administered at 3–7 days, 3- and 12-months post-stroke. Raw changes in MoCA and impairment rates (defined as MoCA<24 points) were compared between assessment time-points. Trajectory clusters were identified using variations of ≥1 point in MoCA scores. To further compare clusters, additional assessments administered at 3- and 12-months were included. Gamma and Quantile mixed-effects regression were used to predict individual MoCA scores over time, using baseline clinical and demographic variables. Model predictions were fitted for each stroke survivor and evaluated using model cross-validation to identify the overall best predictors of cognitive recovery. Results: Participants' (n = 119) MoCA scores improved from baseline to 3-months (p<0.001); and decreased from 3- to 12-months post-stroke (p = 0.010). Cognitive impairment rates decreased significantly from baseline to 3-months (p<0.001), but not between 3- and 12-months (p = 0.168). Nine distinct trajectory clusters were identified. Clinical characteristics between clusters at each time-point varied in cognitive outcomes but not in clinical and/or activity participation outcomes. Cognitive performance at 3- and 12-months was best predicted by younger age, higher physical activity levels, and left-hemisphere lesion side. Conclusion: More than half of mild-stroke survivors are at risk of cognitive decline one year after stroke, even when preceded by a significantly improving pattern in the first 3-months of recovery. Physical activity was the only modifiable factor independently associated with cognitive recovery. Individual-level prediction methods may inform the timing and personalized application of future interventions to maximize cognitive recovery post-stroke. [ABSTRACT FROM AUTHOR]

The National Institute of Health Stroke Scale (NIHSS) is used worldwide to classify stroke severity as 'mild', 'moderate', or 'severe' based on neurological impairment. Yet, stroke survivors argue that the classification of 'mild' does not represent the holistic experience and impact of stroke on their daily lives. In this observational cohort study, we aimed to identify different types of impairment profiles among stroke survivors classified as 'mild'. We used survivors of mild stroke' data from the START longitudinal stroke cohort (n = 73), with measures related to sensorimotor, cognition, depression, functional disability, physical activity, work, and social adjustment over 12 months. Given the multisource, multigranular, and unlabeled nature of the data, we utilized a structure-adapting, unsupervised machine learning approach, the growing self-organizing map (GSOM) algorithm, to generate distinct clinical profiles. These diverse impairment profiles revealed that survivors of mild stroke experience varying degrees of impairment and impact (cognitive, depression, physical activity, work/social adjustment) at different time points, despite the uniformity implied by their NIHSS-classified 'mild' stroke. This emphasizes the necessity of creating a holistic and more comprehensive representation of survivors of mild stroke' needs over the first year after stroke to improve rehabilitation and poststroke care. [ABSTRACT FROM AUTHOR]

Importance: Functional cognition is emerging as a professional priority for occupational therapy practice. It is important to understand how it relates to other established cognitive constructs, so that occupational therapists can demonstrate their unique contributions. Objective: To examine whether functional cognition is a construct that is distinct from crystallized and fluid cognitive abilities. Design: Secondary analysis of data collected from a cross-sectional study. Setting: Community. Participants: Adults with spinal cord injury, traumatic brain injury, or stroke (N = 493). Outcomes and Measures: The National Institutes of Health Toolbox Cognition Battery and the Executive Function Performance Test. Results: We used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to investigate the factor structure of cognition. EFA identified three factors representing crystallized, fluid, and functional cognition. CFA revealed a second-order model in which the three cognitive constructs contribute hierarchically to a general cognitive factor. Conclusions and Relevance: This study provides important and timely evidence for establishing functional cognition as a unique construct that is distinct from executive function as well as from fluid and crystallized cognition. Functional cognition is central to performance in daily activities, and its use will ensure that occupational therapy services support continued recovery and community reintegration. What This Article Adds: This study supports occupational therapy professionals in establishing the profession's role in evaluating and treating deficits of functional cognition to support patients' return to desired occupations in the family, workplace, and community. This study provides evidence for establishing functional cognition as a unique construct that is distinct from executive function as well as from fluid and crystallized cognition, and supports occupational therapy professionals in establishing the profession's role in evaluating and treating functional cognition deficits to support patients' return to desired occupations in the family, workplace, and community. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the psychometric properties of the Center for Epidemiologic Studies Depression (CES-D) scale in adults with stroke. A secondary analysis of the Stroke Recovery in Underserved Populations Cohort Study. The CES-D was administrated to 828 stroke patients at discharge from inpatient rehabilitation facilities and at 3- and 12-month follow-ups. Data were analyzed using classical test theory (CTT) and Rasch measurement model. Confirmatory factor analyses of the CES-D items showed excellent fit of a four-factor model (CFI = 0.98; TLI = 0.98; RMSEA = 0.05). CTT analyses revealed satisfactory reliability and validity. Rasch analyses also supported the unidimensionality of each factor (subscale). Wright maps indicated a floor effect and item gaps. A few items displayed differential item functioning: 3 items (1 depressed affect and 2 somatic symptoms) across gender, 1 item (depressed affect) across time of assessment and all # somatic symptom items across time of assessment. The four-factor structure of the CES-D was confirmed and its psychometric properties were validated, supporting the use of four subscales to characterize depressive symptomatology in adults with stroke. Supplementary assessments are needed for evaluating and comparing somatic symptoms over time. A refinement of the CES-D was recommended to better differentiate stroke survivors with subtle depressive symptoms. [ABSTRACT FROM AUTHOR]