View clinical trials related to Age-Related Cognitive Decline.
Filter by:Life expectancy has been increasing for the last 150 years, but the maintenance of health has not kept pace with increased lifespan, and on average, UK adults spend the last decade of life in poor-health, with major consequences for society and the individual. Persistent physical inactivity is thought to be a key contributing factor to the risk of poor health and functional decline occurring in middle-aged and older adults. It is therefore concerning that most middle-aged adults spend >8hrs/day being sedentary, with average step count of 3000-4000 steps/day. To be able to holistically assess the effectiveness of future strategies to address age-related decline in health, and devise public health messages to help individuals reach older age in better health, it is essential that the complex physiological effects that activity and inactivity have across biological systems are characterised. The goal of this intervention study is to compare the impact of physical activity and inactivity on body functioning. Twenty moderately active participants will decrease their physical activity for six months to match the average amount carried out by middle-aged people in the UK. They will then undertake 3-months of reconditioning training to restore their fitness. In addition, twenty sedentary participants will increase their physical activity to UK recommended levels for six months. Before and at points during the intervention period, participants will be asked to make some measurements at home and attend the University of Nottingham to have multiple assessments made. These include; - fitness, muscle strength and function tests, - completion of questionnaires and computer-based brain puzzles - having muscle and fat tissue biopsies and blood samples taken. - The study also involves having MRI scans. This 5-year study will commence in January 2024, with participant recruitment starting in March 2024 and finishing in May 2027.
This is an observational cohort study of long-living adults (participants aged 90 and above) from the Central Federal District of Russia. The study seeks to determine the genetic and cellular and molecular determinants of healthy longevity and to assess the impact of lifestyle and socioeconomic and environmental factors on healthy longevity. The study is expected to result in the development of a panel of markers of healthy longevity and/or a model of healthy aging based on the analysis of all factors under consideration.
The goal of this clinical trial is to compare conventional clinical data collected as part of usual practice with data collected by the two digital tools to help diagnose major and minor neurocognitive disorders in elderly people consulting a memory center for cognitive complaints. The main question[s] it aims to answer are: - Is it possible to create a classification between the different intensities of cognitive impairment? - Is it possible to create a diagnostic tool consistent with the reference diagnosis? Participants will be asked to complete a series of cognitive and fine motor tasks, and will be given questionnaires on their lifestyle and medical history. They will be asked to wear a connected watch for 1 week. There is no comparison group.
This is a prospective follow-up study conducted at the Department of Psychiatry, The Chinese University of Hong Kong. The participants, including high-performing elderly (SuperAgers), normal ageing elderly and neurocognitive disorder (NCD) patients will be re-invited from our previous cohort (2013-2014) (N=488).
This study aims to examine the longer-term benefits of a novel, neuroplasticity-based, computerized and web-deliverable training program (PACR-CT) five years from the initial 10 weeks of training from our Phase II study - Protocol #: PSC-0605-17 (Aim 1) and test the interactive effect of previous training and 10 weeks of booster training (Aim 2). Both the study and the software being investigated meet the criteria of Non-Significant Risk.
Global dementia prevalence is rising. Alzheimer's disease (AD), the most common cause, has devastating effects on people's quality of life. AD has a preclinical (pre-AD) period of 10-20 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. Similar to screening for pre-diabetes and carcinoma in situ, it is important to detect AD at the preclinical stage in order to offer early interventions before the pathology progresses to the irrerversible degenerative stage. In the study, research will develop a new scalable test (TAS Test) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can "self-test" online using home computers. This unique approach builds on recent discoveries that hand-movement patterns change in pre-AD. The research team will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, and combine this with machine learning of overall motor-cognitive performance. The project team has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. The research team will develop a TAS Test algorithm to classify hand-movement and cognitive test data for pre-AD risk (p-taua181 levels) and determine TAS Test's precision to prospectively predict 5-year risks of cognitive decline and AD.
Age is a major risk factor for the development of cognitive disorders and neurodegenerative pathologies. Cognitive disorders during the phases of bipolar disease are known to exist, and alterations increase significantly after the age of 65. Drug treatments seem to have only a limited effect. A cognitive stimulation program has proven his benefit to patients over 65 with neurodegenerative diseases (Israel, 2004). We propose to evaluate this cognitive stimulation program that we have adapted to bipolar disease.
Older adults at risk for dementia show a variety of cognitive deficits, which can be ameliorated by different cognitive training (CT) exercises. The best combination of CT exercises is unknown. The aim is to discover the most efficacious combination of CT exercises as compared to cognitive stimulation (which will serve as a stringent, active control) to modify the functional trajectories of older adults' with MCI, who are at high risk for dementia. The primary objective of the U01 phase was to design and pilot-test an adaptive, randomized clinical trial (RCT) of cognitive training (CT) combinations aimed to enhance performance of instrumental activities of daily living (IADL) among persons with mild cognitive impairment (MCI). In the R01 phase, the objective is to identify the best combination of CT exercises to delay dementia onset among persons with MCI. The longitudinal endpoint goal is reducing incident dementia. The primary aim of the study is to determine which CT combination has the best probability to delay dementia by producing the largest IADL improvements. The study further aims to explore neuroimaging and novel blood-based biomarkers.
Dementia is the most expensive medical condition in the US and increases in prevalence with age. More than 5 million Americans have Alzheimer's disease, the most common form of dementia. Mild cognitive impairment is a transitional stage between normal cognitive aging and Alzheimer's disease or another type of dementia, and is indicative of higher risk for dementia. In addition to the obvious health and quality-of-life ramifications of dementia, there are high direct (e.g., subsidizing residential care needs) and indirect (e.g., lost productivity of family caregivers) economic costs. Implementing interventions to prevent MCI and dementia among older adults is of critical importance to health and maintained quality-of-life for millions of Americans. Recent data analyses from the Advanced Cognitive Training in Vital Elderly study (ACTIVE) indicate that a specific cognitive intervention, speed of processing training (SPT), significantly delays the incidence of cognitive impairment across 10 years. The primary contribution of the proposed research will be the determination of whether this cognitive training technique successfully delays the onset of clinically defined MCI or dementia across three years.
As a person ages, an incidence of mental distress such as depression and anxiety increases while the quality of life decreases. Singapore's population is aging rapidly and older adults may suffer from mental distress and deteriorated quality of life. Recent evidence suggests that good nutrition is essential for mental health and quality of life in older adults. Previous research reported that provision of nutrition education and cooking workshops to people with mental illness for 3 months achieved healthy dietary change and improved mental health. This proposed study aims to further assess the effect of comprehensive dietary counselling on dietary quality, cardio-metabolic, mental health, sleep quality, and quality of life through a 24-wk parallel intervention study in Singapore older adults. The investigators hypothesised that older adults who receive comprehensive dietary counselling will improve dietary quality, cardio-metabolic health, mental health, sleep quality, and quality of life when compared to older adults who do not receive comprehensive dietary counselling.