Dementia Risk Score Built for Low-Income Nations

A five-factor tool requiring no blood tests or scans was validated across seven countries on three continents.

Updated on Nov. 2, 2026 in Alzheimer’s

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An international team led by Northumbria University has validated a five-factor dementia risk score across seven sites on three continents, designed for low- and middle-income countries. AI Illustration. Upload story photo >

An international team led by Northumbria University has developed a five-factor dementia risk score designed for low- and middle-income countries. The tool was validated across seven sites in China, Cuba, the Dominican Republic, Puerto Rico, Venezuela, Mexico and Peru.

Why it matters

Existing prediction tools were developed using data from high-income countries and transfer poorly to other settings. With around 60% of the more than 57 million people living with dementia in low- and middle-income countries, a locally validated approach addresses a significant gap.

The model achieved an accuracy score of 0.75, above the 0.70 threshold regarded as clinically useful, across more than 11,000 older adults in seven countries. Three-year dementia risk ranges from roughly 1% at a score of 0 to nearly 19% at a score of 9, and further validation across diverse regions remains outstanding.

The players

Northumbria University

A university in Newcastle upon Tyne, England, which led the international team that developed the dementia risk score.

The details

Each of the five factors (age, social engagement, physical activity, high blood pressure and difficulty managing money) is assessed through a simple conversation with an older adult and, where relevant, a family member or carer. Each factor contributes points toward a total score between 0 and 9, and the model requires no blood tests, brain scans or specialist equipment.

Timeline

  1. - November 2, 2026: Article published on the new dementia risk score study.

Health Landscape

Most dementia prediction tools in use today were built on data from high-income countries and have transferred poorly to other settings. This score responds to that gap by validating a locally grounded model in regions where around 60% of people with dementia live.

The screening relies on conversation rather than blood tests or scans, which could make early risk assessment possible in settings with limited specialist equipment. Its practical use will depend on further validation before it is applied in routine care.

The takeaway

Risk assessment tools built on data from a narrow range of countries may miss the people most affected by dementia. A conversation-based approach that does not depend on specialist equipment offers one route to earlier and more equitable identification.

Further reading

Explore more on Alzheimer’s and how risk is being assessed around the world.