Related Experiment Video
Updated: Oct 1, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Advancing Australian public health initiatives targeting dementia risk reduction
Joyce Siette1,2, Nathan Taylor2, Kay Deckers3
1The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Milperra, New South Wales, Australia.
Abstract:
Public health initiatives aim to improve health outcomes for populations by preventing disease and ill-health consequences of environmental hazards and natural or human-made disasters. Whilst public health initiatives have been used successfully to modify behaviours for chronic diseases, many initiatives targeting reduced dementia risk in older adults suffer from conceptual and statistical flaws that greatly limit their usefulness. The limited success in modifying lifestyle dementia risk factors has led us to fall short in building a successful roadmap to dementia risk reduction. Here we argue for adopting a population-level, holistic approach to dementia risk reduction strategies across the lifespan. This approach is supplemented by 10 strategies that focus on improving social policies, harnessing existing policy, legislature and incentive schemes, and identifying feasible approaches to increase recreational and transport-related physical activity to creating best practice health care that supports healthy brain ageing for all.
Related Concept Videos
Dementia
The progression of dementia is generally gradual....
Alzheimer's Disease: Treatment
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...
Cognitive Development During Adulthood
Atherosclerosis III: Management

