Objective: Systematic evaluation of factors influencing social isolation in stroke patients for further intervention studies.
Methods: We searched for observational studies in 7 databases from inception to January 2024. Two researchers performed literature screening, quality assessment, and data extraction independently according to inclusion and exclusion criteria, and meta-analysis was performed using R4.3.1 software.
Results: A total of 10 studies with a total sample size of 4162 cases were included. Meta-analysis showed that social isolation in stroke patients was associated with economic status (β'=-0.21, 95%CI:0.39, -0.02; P=0.0261), degree of education (β'=-0.16, 95%CI:0.29, -0.03; P=0.0171), marital status (β'=0.13, 95%CI:0.04, 0.23; P=0.0069), social support (β'=-0.37, 95%CI;-0.50, -0.25; P<0.0001), stigma(β'=0.48, 95%CI:0.25, 0.72; P<0.0001), symptom burden (β'=0.25, 95%CI:0.18, 0.31; P<0.0001), course of disease (β'=0.23, 95%CI:0.08, 0.37; P=0.0021), combined chronic diseases (β'=0.14, 95%CI:0.04, 0.24; P=0.0057), and limb function (β'=0.33, 95%CI:0.23, 0.43; P<0.0001) were associated. Meta-regression and subgroup analyses showed that disease stage and sample source were sources of heterogeneity.
Conclusion: There are many factors influencing the social isolation of stroke patients, and healthcare professionals should take timely and targeted measures to prevent and intervene effectively, with a view to improving the social participation of stroke patients and reducing their social isolation.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2024.108201 | DOI Listing |
Health Qual Life Outcomes
December 2024
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Background: Social isolation and loneliness are highly prevalent and may have a negative impact on health-related quality of life (HRQL). The EQ-5D-5L is a widely used questionnaire from which an index value for HRQL based on societal preferences (utility) can be derived. The purpose of this study was to estimate the loss in utility (i.
View Article and Find Full Text PDFBiochem Genet
December 2024
Department of Biochemistry, Kurukshetra University, Kurukshetra, Haryana, 136119, India.
Hypothyroidism is the most prevalent thyroid disorder and leads to adverse effects on the human body. Serum thyroid stimulating hormone (TSH) values have been related to polymorphisms in multiple genes that may be involved in the regulation of thyroid function. The single nucleotide polymorphism (SNP) rs2046045 is situated in the intron region of the phosphodiesterase 8B (PDE8B) gene, which encodes a high-affinity cyclic adenosine monophosphate (cAMP)-specific phosphodiesterase widely expressed in thyroid tissue.
View Article and Find Full Text PDFJ Gen Intern Med
December 2024
Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Background: Structured faculty development programs focused on integrating health equity into medical education curricula remain limited.
Aim: To describe an interdisciplinary faculty development program grounded in adult learning theory and to assess its impact on participants' professional growth.
Setting And Participants: Twenty-one faculty members across six academic-affiliated health systems.
Curr Biol
December 2024
Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Electronic address:
Recognizing conspecifics-others of the same species-in order to determine how to interact with them appropriately is a fundamental goal of animal sensory systems. It has undergone selective pressure in nearly all species. Mice have a large repertoire of social behaviors that are the subject of a rapidly growing field of study in neuroscience.
View Article and Find Full Text PDFPLoS One
December 2024
Sporecyte, Orem, Utah, United States of America.
This study explores COVID-19 communication between medical experts who upload YouTube videos related to health/medicine (hereinafter medical YouTubers) and their viewers. We investigated three specific elements: (1) how medical YouTubers' use of words related to analytical thinking is associated with their viewers' engagement, (2) how medical YouTubers' use of different types of emotion is associated with their viewers' engagement, and (3) the emotional alignment between medical YouTubers and their viewers. We collected 194 COVID-related video transcripts from five YouTube channels and 375,284 comments from those videos.
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