View clinical trials related to Aging.
Filter by:This study will investigate whether transcranial direct current stimulation (tDCS) enhances the effects of cognitive training in older adults with depression.
This research aims to explore the potential benefits of supplementation of a natural ingredient, the Monarda didyma extract, to reduce / delay the biological aging of a susceptible population, thus contributing to two relevant topics in science with important social and economic implications: anti-aging strategies for wellness and healthy aging and environmental sustainability using natural products.
Over time, lifespan is extending, the population is aging, and accordingly there is a great demand for hospital beds in nursing homes, increasing attention to this population and the services they receive. Mostly, elderly population living in nursing homes suffers from dementia, Alzheimer, depression, agitation, and other diseases that require multidisciplinary treatment. In addition to the medical and pharmacological treatments that patients receive to maintain functional medical status, there is a great need for non-pharmacological treatments, that may improve quality of life, mental well-being, and life satisfaction. There are several treatment approaches of multisensory stimulation environment (MSSE). MSSE in the Snoezelen room therapy recognized as benefiting the patients' physical, mental, and emotional health status. In addition, there is great importance of intervention by social interaction, support, and encouragement. However, the effect of combined intervention of MSSE in Snoezelen room therapy and social support, has not yet been sufficiently studied in elderly patients in nursing homes. These two interventions - together - are supposed to have an increased effect on physical and mental wellbeing of elderly.
The aim of the study was to compare the effects of PFMT and MPE on SUI frequency and explosure from symptoms, PFM activation response and strength of lumbar stabilizing muscle in elderly women with SUI.
Cognitive impairment is one of the core early signs of dementia, and it is also a key stage for community-based dementia prevention. Accurate and convenient prediction of cognitive impairment can help the community to identify and manage the high-risk population of dementia. Previous studies had developed several dementia predicting models, but such models may be not suitable for cognitive impairment prediction. Based on the national representative follow-up data of Chinese Longitudinal Healthy Longevity Survey (CLHLS), this project aims to develop and validate a brief cognitive impairment prediction algorithm among the community-dwelling elderly, using machine learning methods (such as Logistic regression, Naïve Bayes model, Extreme Gradient Boosting Tree and so on). Finally, based on the constructed model, an easy-to-use online intelligent assessment tool for predicting cognitive impairment risk will be developed. The general practitioners, social workers and the elderly would be invited to use the tool and we will revise the tool according to their suggestions and comments. This project is expected to provide scientific basis and technical support for community-based dementia prevention, and will also be useful for the elderly to easily understand their cognitive health.
The goal of this randomized controlled trial is to rigorously assess the efficacy of an 8-week social engagement OneClick intervention. A total of 120 older adults with and without mild cognitive impairment (60 per group) will be randomized after a baseline assessment to the social engagement OneClick intervention group or the waitlist control group. Participants assigned to the intervention group will receive the social engagement OneClick intervention for 8 weeks, and will complete a mid-assessment at week 4, and a post-assessment at week 8. Participants assigned to the waitlist control group will receive no intervention for the first 8 weeks and will complete assessments at week 4 and week 8. Subsequently, as an extension to this study, participants assigned to the waitlist control group will have an opportunity to participate in 8 weeks of social engagement OneClick intervention, with intervention effects assessed at week 4 and week 8.
The current study will investigate methods for enhancing cognitive training (CT) effects in healthy older adults by employing a combination of interventions facilitating neural plasticity and optimizing readiness for learning. A pilot randomized clinical trial will examine the individual and combined impact of pairing cognitive training with transcranial direct current stimulation (tDCS). A precision dosing algorithm will be used to determine the appropriate levels of current and location of electrodes to deliver current using tDCS.
A good quantity, and quality, of sleep is crucial for well-being. Evidence strongly indicates that poor sleep quality and quantity is causally involved in the development of dementia; therefore, techniques which can improve sleep in older adults are very likely to prevent or slow down the disease process in dementia. This project aims to manipulate a specific aspect of sleep in healthy older adults. This: 1) has the potential to prevent the pre-dementia stage of mild cognitive impairment in healthy older adults, and 2) has a direct clinical application to dementia. The overall aim of this project is to investigate if a non-invasive brain stimulation technique called transcranial direct current stimulation (tDCS) can enhance specific brain activity patterns during overnight sleep in healthy older adults. These brain activity patterns during sleep (called 'sleep spindles') are mechanistically linked to both the physiological restorative and the cognitive function of sleep. Sleep spindles can only be assessed by measuring overnight brain activity during sleep. Sleep spindles are very strongly associated with attention, and memory performance, which are severely affected by dementia. A decrease in sleep spindles is associated with cognitive decline, and predict dementia development. Therefore, enhancing sleep spindle activity in sleep is likely to boost cognition. Whilst previous research studies have demonstrated that in a sleep laboratory environment, tDCS can manipulate sleep spindles when individuals are in a specific brain state in a nap situation, we are specifically interested in testing tDCS in a home environment. This is because the use of tDCS in a home environment has have a number of advantages over sleep laboratory studies. Specifically, by conducting this study in a home environment, this will maximise the inclusivity of studies involving older adults, and DLB patients, since they will not be required to travel to a sleep laboratory to participate in studies. The aim of this proof-of-principle study is to investigate if tDCS can manipulate sleep spindles in healthy older adults. It is expected that relative to a placebo stimulation, active stimulation (which exerts an effect upon the brain) will increase sleep spindle activity in healthy older adults.
The primary objective of the Vanderbilt Alzheimer's Disease Research Center (VADRC) is to provide local and national researchers with access to a well-characterized and diverse clinical cohort, including participant referrals, biosamples, clinical data, and neuroimaging data. The VADRC Clinical Core will create an infrastructure to support research efforts of both local and national investigator studies to develop early detection, prevention, and treatment strategies for Alzheimer's disease. The Clinical Core intends to enroll up to 1000 participants, including individuals who are cognitively unimpaired, have mild cognitive impairment, or have Alzheimer's disease. This cohort of about 1000 participants will be called the Tennessee Alzheimer's Project. Participants will be seen annually for comprehensive clinical characterization and then referred to other studies to enhance Alzheimer's disease research activities.
This study will use an observational cohort to cross-sectionally and longitudinally relate vascular health to clinical, imaging, and biological markers of early Alzheimer's disease and cerebrovascular disease among aging adults. Adjusting for relevant clinical covariates, we will test the hypothesis that vascular health is associated with clinical, brain magnetic resonance imaging (MRI), neuropsychological, and cerebrospinal fluid markers of early cerebrovascular and Alzheimer's disease changes (i.e., prior to the onset of significant cognitive decline or dementia). Secondarily, we will examine medical and genetic factors that might mediate associations between vascular health and brain aging, such as inflammatory processes, insulin resistance, and genetic factors (e.g., APOE, a susceptibility risk factor for dementia). Findings will advance knowledge regarding the role that vascular health plays in brain aging.