Mobile Application for Monitoring and Preventing Cognitive Decline Through Lifestyle Intervention.

Area of Science:

• Neurology
• Gerontology
• Digital Health

Background:

• Alzheimer's disease diagnosis and prevention are challenging due to its long asymptomatic phase.
• Preclinical studies often focus on multidimensional lifestyle interventions like nutrition, physical, and cognitive exercise.
• Mobile health (mHealth) applications offer a scalable solution for early intervention and prevention of cognitive decline.

Purpose of the Study:

• To develop and evaluate a mobile application for Alzheimer's disease risk assessment and prevention.
• To provide personalized lifestyle interventions and virtual coaching through a user-friendly interface.
• To facilitate continuous monitoring and reassessment of cognitive decline risk.

Main Methods:

• Development of a mobile application integrating risk assessment, daily monitoring of preventive factors, and tailored guidance.
• Implementation of user-friendly features for intuitive interaction and engagement.
• Inclusion of progress tracking and risk reassessment capabilities.

Main Results:

• The application provides individuals with risk assessment for cognitive impairment.
• It facilitates daily monitoring of lifestyle factors crucial for preventing cognitive decline.
• Personalized guidance and progress tracking are offered through an intuitive interface.

Conclusions:

• Mobile health applications can effectively support Alzheimer's disease prevention strategies.
• The developed application offers a low-cost, accessible tool for high-risk individuals.
• Collected data has the potential to inform future, more accurate predictive models for cognitive impairment.