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An international team led by Northumbria University developed and tested a five-factor score to estimate three-year dementia risk using information gathered in conversation. The research tool was tested with data from more than 11,000 older adults at seven sites, but researchers say it needs validation in additional regions and is not intended as a general-population screening test.
An international research team led by Northumbria University has developed and tested a five-factor score that estimates older adults’ risk of developing dementia, using information collected through a straightforward conversation. The tool was designed for low- and middle-income countries, where many people with dementia live but existing prediction models developed in wealthier countries may not transfer reliably.
The study, published in the American Journal of Epidemiology, used data from more than 11,000 older adults across seven sites in China, Cuba, the Dominican Republic, Puerto Rico, Venezuela, Mexico and Peru. The researchers reported an accuracy score of 0.75, above the 0.70 threshold they said is generally regarded as clinically useful. That figure describes the model’s performance in the study; it does not establish how well it will work in every country or community.
The score uses five factors: age, social engagement, physical activity, high blood pressure and difficulty managing money. Information can be gathered by speaking with an older adult and, where relevant, a family member or carer. The method does not require blood tests, brain scans or specialist equipment, according to the report.
Each factor contributes points to a total from 0 to 9. The researchers estimate that a score of 0 corresponds to about a 1% chance of developing dementia within three years, while a score of 9 corresponds to nearly 19%. These are risk estimates from the model, not a diagnosis or a guarantee of an individual’s outcome.
A Research Tool for Wider Access
The score addresses a gap in dementia research: tools built from data in high-income countries have been reported to perform poorly when applied in other settings. A low-cost way to identify people at elevated risk could help researchers recruit participants for prevention studies and clinical trials in places where specialist equipment and services may be less available.
The need is substantial. The source report says dementia affects more than 57 million people worldwide, with around 60% living in low- and middle-income countries. A tool adapted to local research settings could make studies more inclusive and help produce evidence that better reflects populations often underrepresented in research.
However, the team describes the score primarily as a research aid, not a routine screening test for the general public. Its practical value will depend on further testing, including whether its estimates remain accurate in populations and health systems not included in the study.
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Why Existing Models Fall Short
Most dementia prediction tools were developed using information from high-income countries. The researchers say those models have transferred poorly to other settings, leaving a shortage of locally relevant methods for identifying people who may be at higher risk.
The five factors were selected to be assessed with everyday information. Age was the strongest single predictor in the model, with risk rising from age 70 and more steeply from 80 onward. Social engagement includes living arrangements and contact with friends, family or community groups. Physical activity includes routine movement such as walking, farming and household tasks, not only planned exercise.
The study was supported by the UK National Institute for Health and Care Research using UK government international development funding, with additional support from Dementia Australia. It involved the 10/66 Dementia Research Group network, according to Professor Dame Louise Robinson, who led the NIHR-funded programme behind the work.
“This model is a step towards changing that. It is simple, it is built for the settings where it is needed most, and it gives researchers a practical way to find the people who should be the focus of future studies and trials.”
— Dr. Eduwin Pakpahan, Northumbria University’s Applied Statistics and Data Science Research Group
Where the Score Still Needs Testing
The study covered seven sites in China and Latin America, not every region where the score might be used. The researchers specifically called for validation in South Asia, the Middle East and North Africa, and sub-Saharan Africa. Until that work is done, it is unclear how accurately the estimates would apply to people in those regions or to communities with different languages, living conditions and health services.
The reported accuracy score does not by itself show how the tool would perform in routine care, or whether using it changes health outcomes. The source report also does not provide details here about the model’s performance within each individual site or population group. The score should not be treated as a diagnosis, and the researchers say it is intended for research rather than broad public screening.
Validation Across More Regions
The next step identified by the research team is to test the score in regions not represented in the study, especially South Asia, the Middle East and North Africa, and sub-Saharan Africa. Further validation would help establish whether the five factors and the risk estimates remain useful across different populations.
Researchers could then assess how the score works when used to identify participants for local studies and trials. The report does not specify a timetable for additional validation or announce plans to introduce the model as a clinical screening service. For now, its stated role is to support dementia research, with broader use dependent on evidence from further testing.
Key Questions
What does the new dementia risk score assess?
It uses five factors: age, social engagement, physical activity, high blood pressure and difficulty managing money. The information can be gathered through conversation with an older adult and, where relevant, a family member or carer.
Is the score a dementia diagnosis?
No. It estimates the chance of developing dementia within three years; it does not diagnose dementia or determine an individual’s future with certainty. The researchers describe it as a research tool, not a routine screening test for the general population.
Where was the score tested?
The study used data from more than 11,000 older adults at seven sites in China, Cuba, the Dominican Republic, Puerto Rico, Venezuela, Mexico and Peru.
How accurate was the model in the study?
The researchers reported an accuracy score of 0.75, above the 0.70 threshold they said is generally regarded as clinically useful. More testing is needed to assess performance in regions and populations not included in the study.
What needs to happen before wider use?
The team called for further validation, particularly in South Asia, the Middle East and North Africa, and sub-Saharan Africa. The report does not set a timetable or describe plans for routine clinical screening.
Source: news-medical.net
