Background: Information technology can enhance timely and individual support for people with Alzheimer's disease and other dementias and their informal carers.
Objective: To review the effectiveness of technology-based counselling interventions for people with dementia and informal carers.
Methods: Randomized controlled trials of remote dementia counselling interventions were included. We searched CINAHL, Cochrane Library, MEDLINE, PsycINFO, and the Web of Science Core Collection (April 2021) in combination with citation tracking and free web searching (October to November 2021). We provide meta-analyses for caregiver depression, burden, and self-efficacy/mastery and structured reporting for other outcomes. The Grading of Recommendations Assessment, Development and Evaluation approach and the Risk of Bias 2 tool were applied.
Results: We included five randomized controlled trials involving 880 participants. Interventions were provided for carers (four studies) or dyads (one study). Carers were predominantly women and were the spouses or children of people with dementia. Counselling was delivered via telephone or videoconference with two to 23 sessions over 1 to 12 months. Control groups received educational and resource materials only, standard (helpline) services, non-directive support, or home visits. Meta-analysis for our primary outcome, depressive symptoms in carers, revealed no statistically significant effect (SMD -0.15; 95% CI -0.40 to 0.10). There were also no significant effects on burden and self-efficacy/mastery. We rated the certainty of evidence as low to very low and all outcomes at an overall high risk of bias.
Conclusion: The effectiveness of technology-based counselling interventions for people with dementia and informal carers remains uncertain. Theory-based approaches are needed for the development and evaluation of these interventions.
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http://dx.doi.org/10.3233/JAD-221194 | DOI Listing |
J Taibah Univ Med Sci
December 2024
Universitas Nasional, Department of Biology, South Jakarta, Indonesia.
Objectives: Dementia, a growing concern globally, affects more than 55 million people-a number projected to rise to 152 million by 2050. Current medications target Alzheimer's disease, the most prevalent form of dementia. This study investigated L.
View Article and Find Full Text PDFBMJ Open
December 2024
KITE, University Health Network, Toronto, Ontario, Canada.
Introduction: Virtual reality (VR) technology is increasingly used by researchers and healthcare professionals as a therapeutic intervention to improve the quality of life of persons living with dementia (PLwD). However, most VR interventions to date have mainly been explored in long-term or community care settings, with fewer being explored at home. Setting is important, given that the majority of PLwD live at home and are cared for by their family care partners.
View Article and Find Full Text PDFMol Neurodegener
January 2025
College of Life Sciences and Oceanography, Brain Disease and Big Data Research Institute, Shenzhen University, Shenzhen, 518060, Guangdong, China.
Background: Astrocytes, the most abundant glial cell type in the brain, will convert into the reactive state in response to proteotoxic stress such as tau accumulation, a characteristic feature of Alzheimer's disease (AD) and other tauopathies. The formation of reactive astrocytes is partially attributed to the disruption of autophagy lysosomal signaling, and inhibiting of some histone deacetylases (HDACs) has been demonstrated to reduce the molecular and functional characteristics of reactive astrocytes. However, the precise role of autophagy lysosomal signaling in astrocytes that regulates tau pathology remains unclear.
View Article and Find Full Text PDFJ Mol Neurosci
January 2025
Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, is characterized by mitochondrial dysfunction and immune dysregulation. This study is aimed at developing a risk prediction model for AD by integrating multi-omics data and exploring the interplay between mitochondrial energy metabolism-related genes (MEMRGs) and immune cell dynamics. We integrated four GEO datasets (GSE132903, GSE29378, GSE33000, GSE5281) for differential gene expression analysis, functional enrichment, and weighted gene co-expression network analysis (WGCNA).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Santa Maria Di Costantinopoli 16, 80138, Naples, Italy.
Patients with Mild Cognitive Impairment (MCI) may exhibit poorer performance in visuomotor tasks than healthy individuals, particularly under conditions with high cognitive load. Few studies have examined reaching movements in MCI and did so without assessing susceptibility to distractor interference. This proof-of-concept study analyzed the kinematics of visually guided reaching movements towards a target dot placed along the participants' midsagittal/reaching axis.
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