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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Multidomain interventions for risk reduction and prevention of cognitive decline and dementia: current developments
Susanne Röhr1,2, Miia Kivipelto3,4,5,6, Francesca Mangialasche3,7
1Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany.
Purpose Of Review:
The potential for dementia prevention is deemed substantial if modifiable risk factors were addressed. First large-scale multidomain lifestyle interventions aiming at reducing risk of cognitive decline and dementia have yielded mixed but promising evidence.
Recent Findings:
Despite the impact of the COVID-19 pandemic on trials conduction, causing interruptions and delays, the research landscape on multidomain interventions is growing rapidly. The successful Finish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) has led to an adaptation of the FINGER model in trials underway or being planned in over 40 countries. Recent studies identified barriers and facilitators of and adherence to multidomain interventions, showed the suitability of dementia risk scores as surrogate outcomes, and suggested mechanisms. Multidomain interventions are increasingly conducted in the Global South, and study protocols are increasingly testing expanded FINGER models, for example, with pharmacological components, in digital/remote settings and co-designed personalized interventions.
Summary:
Though results remain mixed, the many ongoing trials will provide more conclusive evidence within the next few years and help to optimize interventions. Continued international collaboration is pivotal to scale and accelerate the development and implementation of effective multidomain interventions as part of larger public health strategies to counteract the global dementia increase.
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