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Do you know someone with dementia and would like to help them and their care partner stay independent and improve quality of life? Encourage them to join the Moving Together research study! Moving Together is a unique online group movement program run by the UCSF research team and highly skilled movement instructors. The program combines gentle movements, mindfulness practices, and opportunities to make new friends. The research shows that people who have completed the program move better, feel better, think better, and feel connected to a new community of friends. Participants attend the movement sessions as a pair (which includes a person with memory loss and a care partner) and must have a computer, laptop, or iPad with internet access. It is offered free of cost and it is conducted online.
Spread the word to individuals with dementia and their care partners!
The NIA Discovers Health Disparities In Alzheimer’s Research Studies. National statistics indicate that black Americans are about twice as likely to develop Alzheimer’s and related dementias (ADRD) compared to white Americans. Despite this, the NIA has discovered that black participants in Alzheimer’s disease research studies were 35% less likely to be diagnosed with ADRD than white participants. The NIA researchers tracked 15 years of data (2005-2020) on 5,700 black and 31,225 white participants using the Uniform Data Set of the National Alzheimer's Coordinating Center (NACC), which aggregates data from Alzheimer’s Disease Research Centers (ADRCs). Results of the study were published in the journal Alzheimer’s and Dementia.
The researchers see these results as an indication that black patients often must present with more severe clinical symptoms to receive a diagnosis. As a next step, the research team hopes to expand their research to include other underrepresented groups in ADRD research. Learn more here.
Do you have caregivers of persons with AD in your network that may benefit from participating in positive emotion research? CLICK HERE to view the LEAF Study flyer or visit the study website. If you are interested in participating in this study, please fill out this survey.
Do you or a loved one have a diagnosis of AD? Do you live in the San Diego area? You or your loved one may benefit from participating in the UCSD Alzheimer's Disease Research Study. Participants receive an FDA approved treatment for AD free of cost and they are compensated for their time. To learn more, CLICK HERE to view the UCSD Study flyer. To see if you qualify for this study, take this survey.
Flutist Eugenia Zukerman describes the therapeutic affects and importance of music in her life. Since her Alzheimer's diagnosis two years ago, there are certain activities, such as driving, that she has stopped doing but music and writing are still a huge part of her life. This video showcases her beautiful music and poetry as well as her experience living with Alzheimer's.
New research funded by Alzheimer’s Drug Discovery Foundation has identified a rare but potentially toxic population of "zombie cells” in brains of people who died with Alzheimer’s disease. Roughly 140,000 cells from 76 brains from the Religious Orders Study / Memory and Aging Project were collected. The discovery of these cells could provide a key target for drugs designed to treat Alzheimer’s disease. The study was recently published in Nature Aging journal. Learn more here.
Alzheimer’s Researchers funded by BrightFocus have identified 11 genetic mutations that may predispose people to developing Alzheimer’s disease (AD) – including 7 gene variants that have not been previously linked to AD. This kind of research is essential in furthering the ability of clinicians to assess risk, reach early diagnosis and provide early intervention. Learn more here.
Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients study was recently published in the JAMA Network Open journal. The study found that machine learning algorithms could be used to accurately predict risk of developing dementia within two years. The findings are based on data from 15,307 memory clinic patients in the U.S. between 2005 and 2015. The participants did not have dementia at the start of the study, though many were experiencing some memory difficulties. According to the research authors, AI predictions may be able to help reduce dementia misdiagnosis and potentially improve early detection and intervention of the disease in memory clinics. Access the full study here.
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