Moving Toward an Understanding of Disability in Older U.S. Stroke Survivors

Neighborhood Resources and Health Outcomes Among Stroke Survivors in a Population-Based Cohort

BACKGROUND

Stroke survivors believe neighborhood resources such as community centers are beneficial; however, little is known about the influence of these resources on stroke outcomes. We evaluated whether residing in neighborhoods with greater resource density is associated with favorable post-stroke outcomes.

METHODS AND RESULTS

We included Mexican American and non-Hispanic White stroke survivors from the Brain Attack Surveillance in Corpus Christi project (2009-2019). The exposure was density of neighborhood resources (eg, community centers, restaurants, stores) within a residential census tract at stroke onset. Outcomes included time to death and recurrence, and at 3 months following stroke: disability (activities of daily living/instrumental activities of daily living), cognition (Modified Mini-Mental State Exam), depression (Patient Health Questionnaire-8), and quality of life (abbreviated Stroke-Specific Quality of Life scale). We fit multivariable Cox regression and mixed linear models. We considered interactions with stroke severity, ethnicity, and sex. Among 1786 stroke survivors, median age was 64 years (interquartile range, 56-73), 55% men, and 62% Mexican American. Resource density was not associated with death, recurrence, or depression. Greater resource density (75th versus 25th percentile) was associated with more favorable cognition (Modified Mini-Mental State Exam mean difference=0.838, 95% CI=0.092, 1.584) and among moderate-severe stroke survivors, with more favorable functioning (activities of daily living/instrumental activities of daily living=-0.156 [95% CI, -0.284 to 0.027]) and quality of life (abbreviated Stroke-Specific Quality of Life scale=0.194 [95% CI, 0.029-0.359]).

CONCLUSIONS

We observed associations between greater resource density and cognition overall and with functioning and quality of life among moderate-severe stroke survivors. Further research is needed to confirm these findings and determine if neighborhood resources may be a tool for recovery.

Determinants of Inequities in Neurologic Disease, Health, and Well-being: The NINDS Social Determinants of Health Framework

A National Institute of Neurological Disorders and Stroke working group developed the Determinants of Inequities in Neurological Disease, Health, and Well-being framework. Our goal was to guide and inspire a new generation of neurologic research that pushes the field to design and test new approaches in pursuit of health equity, population health, and social justice. We seek to expand the lens of those looking to reduce or eliminate racial, socioeconomic status, and other inequities in neurologic disease, health, and well-being to improve our collective ability to create research, programs, and policies that lead to larger, more impactful, and more sustainable change in neurologic disease patterns. In this context, we outline a framework that includes and highlights "upstream" factors in the hopes of enhancing the focus of research, programmatic, and policy efforts to reduce and eliminate inequities in neurologic health and well-being. We explicitly discuss racism and other structural factors to clarify that social determinants are not natural and unchangeable. Populations with a disproportionate burden of neurologic disease are not inherently deficient, despite what some approaches to framing health inequities imply. The framework is presented linearly, but the pathways linking the determinants of neurologic disease, health, and well-being are far more complex than those demonstrated by the arrows included in the figure. The framework highlights the different levels and scale of causation, including the structural and intermediary social determinants and their impact on neurologic health. We offer this framework to refine efforts to contextualize the interpretation of neurologic research findings and suggest new avenues for their application. We illustrate how behavioral and biological factors occur in a social and economic context, factors that have been understudied as points of intervention to reduce inequities in neurologic disease. Considering social and structural determinants of health provides promising new opportunities to achieve neurologic health equity, reach social justice, and improve our science. Extending our work in this fashion is not simply about health equity or social justice but to fundamentally improve the quality of neurologic research by enhancing underlying theory and improving study design and implementation.

Habitual walking speed and fatigue explain self-reported functional capacity after stroke

INTRODUCTION

Individuals after stroke present several motor impairments, which reduced the functional capacity. The understanding of modifiable factors which are related to functional capacity in individuals with chronic stroke could better direct clinical practice. However, the mechanisms that could influence functional capacity in individuals with chronic stroke are not fully understood.

OBJECTIVE

This study aimed to determine which modifiable variables would best predict self-reported functional capacity after stroke.

DESIGN

Cross-sectional.

SETTING

Research laboratory setting.

PARTICIPANTS

Ninety two individuals with chronic stroke, who had a mean age of 60 (SD 13) years and a time since the onset of the stroke of 52 (67) months.

MAIN OUTCOME MEASURES

Regression analysis of cross-sectional data was used to investigate whether body mass index, habitual walking speed, physical activity levels, fatigue, motor recovery, walking distance, and residual strength deficits of the lower limb muscles would predict self-reported functional capacity.

RESULTS

Habitual walking speed alone explained 48% of the variance in functional capacity. When fatigue was included in the model, the explained variance increased to 55%.

CONCLUSIONS

Habitual walking speed and fatigue were significant predictors of self-reported functional capacity in individuals with chronic stroke. These individuals may increase their functional capacity with interventions aimed at increasing walking speed and reducing fatigue.

Relationships Among Environmental Variables, Physical Capacity, Balance Self-Efficacy, and Real-World Walking Activity Post-Stroke

BACKGROUND

Social and physical environmental factors affect real-world walking activity in individuals with stroke. However, environmental factors are often non-modifiable, presenting a challenge for clinicians working with individuals with stroke whose real-world walking is limited due to environmental barriers.

OBJECTIVE

The purpose of this work was to test a model hypothesizing the relationships among environmental factors (specifically, living situation and area deprivation), modifiable factors, and real-world walking activity to understand opportunities for intervention. We hypothesized that balance self-efficacy would mediate the relationship between the environment and real-world walking and that physical capacity would moderate this mediation.

METHODS

This was a cross-sectional study of 282 individuals with chronic (≥6 months) stroke. We tested the indirect effect to determine if mediation was present. Multiple group structural equation modeling was used to test if physical capacity moderated this mediation. A χ² difference test was used to compare the moderation model against the null (no moderation) model.

RESULTS

Balance self-efficacy mediated the relationship between area deprivation and real-world walking (indirect effect: β = -0.04, P = .04). Both the moderation and null models fit the data equally well statistically (χ²(5) = 6.9, P = .23). We therefore accepted the simpler (null) model and concluded that the mediation was not moderated.

CONCLUSIONS

Targeting balance self-efficacy may be an effective approach to improving real-world walking in persons with stroke who experience barriers within the physical environment. A stroke survivor's physical capacity may not impact this approach. Future work should consider utilizing more specific measures of the social and physical environment to better understand their influences on real-world walking activity in individuals with stroke. However, the results of this work provide excellent targets for future longitudinal studies targeting real-world walking activity in stroke.

A Systematic Review of the Incidence, Prevalence, Costs, and Activity and Work Limitations of Amputation, Osteoarthritis, Rheumatoid Arthritis, Back Pain, Multiple Sclerosis, Spinal Cord Injury, Stroke, and Traumatic Brain Injury in the United States: A 2019 Update

OBJECTIVES

To present recent evidence on the prevalence, incidence, costs, activity limitations, and work limitations of common conditions requiring rehabilitation.

DATA SOURCES

Medline (PubMed), SCOPUS, Web of Science, and the gray literature were searched for relevant articles about amputation, osteoarthritis, rheumatoid arthritis, back pain, multiple sclerosis, spinal cord injury, stroke, and traumatic brain injury.

STUDY SELECTION

Relevant articles (N=106) were included.

DATA EXTRACTION

Two investigators independently reviewed articles and selected relevant articles for inclusion. Quality grading was performed using the Methodological Evaluation of Observational Research Checklist and Newcastle-Ottawa Quality Assessment Form.

DATA SYNTHESIS

The prevalence of back pain in the past 3 months was 33.9% among community-dwelling adults, and patients with back pain contribute $365 billion in all-cause medical costs. Osteoarthritis is the next most prevalent condition (approximately 10.4%), and patients with this condition contribute $460 billion in all-cause medical costs. These 2 conditions are the most prevalent and costly (medically) of the illnesses explored in this study. Stroke follows these conditions in both prevalence (2.5%-3.7%) and medical costs ($28 billion). Other conditions may have a lower prevalence but are associated with relatively higher per capita effects.

CONCLUSIONS

Consistent with previous findings, back pain and osteoarthritis are the most prevalent conditions with high aggregate medical costs. By contrast, other conditions have a lower prevalence or cost but relatively higher per capita costs and effects on activity and work. The data are extremely heterogeneous, which makes anything beyond broad comparisons challenging. Additional information is needed to determine the relative impact of each condition.

The top 100 cited neurorehabilitation papers

BACKGROUND

Neurorehabilitation covers a large range of disorders, assessment approaches and treatment methods. There have been previous citation analyses of rehabilitation and of its subfields. However, there has never been a comprehensive citation analysis in neurorehabilitation.

OBJECTIVE

The present study reports findings from a citation analysis of the top 100 most cited neurorehabilitation papers to describe the research trends in the field.

METHODS

A de-novo keyword search of papers indexed in the Web of Science Core Collection database yielded 52,581 papers. A candidate pool of the 200 most-cited papers published between 2005 and 2016 was reviewed by the clinician authors. The papers in the top 100 deemed to be irrelevant were discarded and replaced by the most highly-cited articles in the second tier deemed to be clinically relevant.

RESULTS

The most frequently cited neurorehablitation papers appeared in Stroke, Movement Disorders, and Neurology. Papers tended to focus on treatments, especially for stroke. Authorship trends suggest that top cited papers result from group endeavors, with 90% of the papers involving a collaboration among 3 or more authors.

CONCLUSION

Treatment studies, often focused on stroke, appear to have the highest impact in the field of neurorehabilitation.