Caregiver Psychosocial Factors & Stroke Survivor Cognitive Outcomes: A REGARDS-CARES Cohort Study.

Objectives: Caring for an individual with cognitive impairment carries a physical, mental, and emotional toll. This manuscript examines the relationship between caregiver psychosocial measures and longitudinal cognitive outcomes of stroke survivors, as well as analyzing the psychosocial factors as moderators of stroke severity and cognition.

Methods: This analysis was conducted on caregiver and stroke survivor dyads (n = 157) that participated in the Caring for Adults Recovering from the Effects of Stroke (CARES) project, an ancillary study of the REasons for Geographic and Racial Differences in Stroke (REGARDS) national cohort study.

Social Determinants of Health and Cross-Sectional Cognitive Intra-Individual Variability in Adults from the Deep South Living with HIV.

Cognitive intra-individual variability (IIV) is a sensitive marker of neuropathology and is increased in people with HIV (PWH). In a sample of PWH from the United States Deep South, we examined the relationship of cognitive IIV with cognitive impairment and social determinants of health (SDoH). This secondary analysis included 131 PWH from a larger cognitive training protocol.

Stroke Severity, Caregiver Feedback, and Cognition in the REGARDS-CARES Study.

Background: Cognitive impairment after stroke is common and is present in up to 60% of survivors. Stroke severity, indicated by both volume and location, is the most consequential predictor of cognitive impairment, with severe strokes predicting higher chances of cognitive impairment. The current investigation examines the associations of 2 stroke severity ratings and a caregiver-report of poststroke functioning with longitudinal cognitive outcomes.

Long COVID Brain Fog Treatment: Findings from a Pilot Randomized Controlled Trial of Constraint-Induced Cognitive Therapy.

Purpose: Long COVID brain fog is often disabling. Yet, no empirically-supported treatments exist. This study's objectives were to evaluate feasibility and efficacy, provisionally, of a new rehabilitation approach, Constraint-Induced Cognitive Therapy (CICT), for post-COVID-19 cognitive sequelae.

Social Support Networks Among Black Caregivers of Persons With Memory Problems.

Positive social support can predict health outcomes in populations that experience significant burdens, such as minority caregivers. The purpose of the current study was to detail the social network (SN) of 36 Black family caregivers (FCGs) for persons with memory problems (PWMP) and examine differences in SN support depending on FCG gender and relationship to the care recipient. Participants were recruited from the Alzheimer's family program at the University of Alabama at Birmingham and the local community.

Stroke Severity, Caregiver Feedback, and Cognition in the REGARDS-CARES Study.

Objective: Cognitive impairment after stroke is common, present up to 60% of survivors. Stroke severity, indicated by both volume and location, is the most consequential predictor of cognitive impairment, with severe strokes predicting higher chances of cognitive impairment. The current investigation examines the associations of two stroke severity ratings and a caregiver-report of post-stroke functioning with longitudinal cognitive outcomes.

A Narrative Review of the Effects of Mindfulness on Sleep and Hypertension.

Purpose Of Review: The prevalence of both insomnia and hypertension in the general population is vast and the health implications to individuals and society are costly. The current pharmacological treatment options for insomnia and hypertension are limited and patients are becoming increasingly interested in non-pharmacological treatment options. Mindfulness, a disciplined mental training practice rooted in Eastern traditions, has become a widely popular treatment method for multiple chronic health problems.

Quantitative assessment of structural image quality.

Data quality is increasingly recognized as one of the most important confounding factors in brain imaging research. It is particularly important for studies of brain development, where age is systematically related to in-scanner motion and data quality. Prior work has demonstrated that in-scanner head motion biases estimates of structural neuroimaging measures.