Neurocognitive disorders are a major public health challenge, affecting 55 million people, and are projected to triple by 2050. This year's research highlights pathological mechanisms such as mitochondrial dysfunction and brain inflammation. Modifiable risk factors, such as vision loss, underscore the importance of early prevention. A Swiss study reveals a high prevalence of inappropriate drug prescriptions in the elderly. Anti-amyloid treatments, such as lecanemab and donanemab, show promising results. Lastly, anticoagulation for atrial fibrillation may reduce the risk of dementia. An integrated approach is essential to alleviate the burden of neurocognitive disorders.
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| http://dx.doi.org/10.53738/REVMED.2025.21.900-1.30 | DOI Listing |
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Trajectories of general and central obesity beyond middle age in relation to late-life cognitive decline and dementia.
Obesity (Silver Spring)
February 2025
Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: The objective was to evaluate the longitudinal patterns of central and general obesity, identify their genetic and behavioral risk determinants, and investigate the association of distinct obesity trajectories beyond middle age with subsequent cognitive decline and the risk of developing dementia in late life.
Methods: Using a nationally representative, longitudinal, community-based cohort, we examined trajectory patterns of obesity over a 14-year span beyond middle age employing latent mixture modeling. We then evaluated their relationship with subsequent cognitive decline through linear mixed models and with the risk of developing dementia using Cox models, adjusting for confounding variables.
Research suggests that the quality of care provided by family members may be influenced by the quality of relationship they have with the person living with dementia. The study investigated this in the context of assisting with daily activities. The quality of the relationship was assessed using the conceptual framework of relationship continuity/discontinuity which focuses on whether the carer experiences their relationship as continuous or discontinuous with the pre-dementia relationship.
View Article and Find Full Text PDFReview of Associations of Diabetes and Insulin Resistance With Brain Health in Three Harmonised Cohort Studies of Ageing and Dementia.
Diabetes Metab Res Rev
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Rush Alzheimer's Disease Centre, Rush University Medical Center, Chicago, Illinois, USA.
Diabetes increases the risk of dementia, and insulin resistance (IR) has emerged as a potential unifying feature. Here, we review published findings over the past 2 decades on the relation of diabetes and IR to brain health, including those related to cognition and neuropathology, in the Religious Orders Study, the Rush Memory and Aging Project, and the Minority Aging Research Study (ROS/MAP/MARS), three harmonised cohort studies of ageing and dementia at the Rush Alzheimer's Disease Center (RADC). A wide range of participant data, including information on medical conditions such as diabetes and neuropsychological tests, as well as other clinical and laboratory-based data collected annually.
View Article and Find Full Text PDFAI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders.
Front Psychiatry
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Department of Psychology, Faculty of Social Sciences, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Villa Clara, Cuba.
Introduction: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificial intelligence (AI) with the depth of neuropsychological assessments is needed.
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Risk prediction model of cognitive performance in older people with cardiovascular diseases: a study of the National Health and Nutrition Examination Survey database.
Front Public Health
January 2025
Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background And Aim: Changes in cognitive function are commonly associated with aging in patients with cardiovascular diseases. The objective of this research was to construct and validate a nomogram-based predictive model for the identification of cognitive impairment in older people suffering from cardiovascular diseases.
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