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Clinical Manifestations.

Nav Vij1, Jermyn Z See1, See Ann Soo1

  • 1Neurowyzr Pte Ltd, Singapore, Singapore, Singapore.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Early detection of mild cognitive impairment (MCI) is possible with digital screening. Lifestyle changes like exercise and managing diabetes can significantly reduce MCI risk and dementia costs.

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Area of Science:

  • Neurology
  • Gerontology
  • Public Health

Background:

  • Mild cognitive impairment (MCI) is a critical stage between normal aging and dementia, presenting an opportunity for early intervention.
  • Dementia poses a significant global economic burden, with projected costs exceeding US$2 trillion by 2030.
  • In Singapore, dementia affects approximately 10% of seniors, incurring substantial healthcare costs.

Purpose of the Study:

  • To evaluate the effectiveness of Neurowyzr's Digital Brain Function Screen (DBFS) in identifying early signs of MCI.
  • To identify modifiable lifestyle risk factors associated with MCI in a Singaporean population.
  • To explore the potential of digital tools for early MCI detection and prevention strategies.

Main Methods:

  • The DBFS, a medical-grade digital tool, assessed cognitive function across attention, executive function, immediate memory, and working memory.
  • A lifestyle questionnaire gathered data on physical activity, sleep, nutrition, substance use, medical conditions, and cognitive stimulation.
  • Statistical modeling was applied to real-world data from over 2,000 individuals screened in Singapore to identify MCI risk factors.

Main Results:

  • Cognitive function declined with increasing age, with diabetes, smoking, and high sugar intake identified as significant MCI risk factors.
  • Regular physical activity, particularly cardiovascular and resistance training, demonstrated neuroprotective effects.
  • Higher education levels and engagement in cognitively stimulating activities were associated with reduced likelihood of cognitive decline.

Conclusions:

  • Real-world data confirm the multifactorial nature of MCI and highlight key modifiable risk factors.
  • The DBFS is a promising scalable tool for early MCI detection and facilitates targeted prevention.
  • Interventions focusing on diabetes management, smoking cessation, reduced sugar intake, exercise, education, and cognitive stimulation may mitigate MCI risk and reduce dementia's economic impact.