An international team led by Northumbria University has developed and validated a five-factor risk score to identify older adults at elevated risk of dementia in low- and middle-income countries. Published in the American Journal of Epidemiology, the tool requires no blood tests, brain scans, or specialist equipment, relying instead on a straightforward conversation.
In Plain English: The Clinical Takeaway
- What it is: A simple questionnaire-based tool that adds up five everyday factors to estimate a person’s three-year risk of developing dementia.
- Why it matters: Around 60% of the world’s 57 million dementia cases occur in low- and middle-income countries, yet existing prediction models were designed with wealthier populations in mind and transfer poorly.
- How it works: Clinicians or researchers ask about age, social engagement, physical activity, blood pressure, and financial management to generate a score from 0 to 9.
Closing the Prediction Gap in Global Health
Dementia affects more than 57 million people worldwide. Around 60% of these cases are concentrated in low- and middle-income countries across Latin America, the Caribbean, Asia, and Africa. Despite this geographical shift in the global burden of disease, healthcare providers in these regions have lacked reliable, locally validated tools to identify individuals who require closer clinical monitoring or prioritization for upcoming trials.
Existing risk prediction instruments were developed using data from high-income countries. When applied in other settings, these models have been shown to transfer poorly. To resolve this disparity, researchers analyzed data from more than 11,000 older adults across seven countries and three continents to build and validate a model specifically tailored for these environments.
Dr. Eduwin Pakpahan from Northumbria University’s Applied Statistics and Data Science Research Group pointed out that while lower-income regions are shouldering a growing share of the dementia crisis, existing predictive tools were built for wealthier populations. He noted that the new model is a step towards changing that, describing it as simple, built for the settings where it is needed most, and a practical way for researchers to find the people who should be the focus of future studies and trials.
Five Everyday Factors Dictate the Score
The validated tool evaluates five distinct parameters during a structured conversation with an older adult, supplemented by a family member or caregiver where necessary. Each domain contributes points toward a cumulative score ranging from 0 to 9.
Age functions as the single strongest predictor, with risk rising meaningfully starting at age 70 and accelerating steeply after 80. Researchers gauge social connection by looking at household arrangements—such as living with a spouse or other residents—the frequency of contact with relatives and friends, and participation in religious or community gatherings. Physical activity accounts for everyday movement across both work and leisure, encompassing tasks such as farming, walking to the market, or routine household chores.
High blood pressure is included to capture the cumulative vascular damage inflicted on cerebral blood vessels by uncontrolled hypertension—a condition that is common, often undiagnosed in lower-income regions, and inexpensive to manage. Seeking input from a relative or caregiver about noticeable shifts in a person’s money-handling skills helps flag potential financial difficulties, which frequently serves as one of the earliest everyday signs of cognitive change.
| Risk Score | Estimated Three-Year Risk |
|---|---|
| 0 | ~1% chance of developing dementia |
| 9 | Nearly 19% chance of developing dementia |
During validation across study sites in China, Cuba, the Dominican Republic, Puerto Rico, Venezuela, Mexico, and Peru, the model achieved an accuracy score of 0.75. This performance surpasses the 0.70 threshold generally recognized as clinically useful.
Research Applications and International Funding
The research was funded by the National Institute for Health and Care Research (NIHR) using UK international development funding to support global health research, with additional support from Dementia Australia. The initiative was carried out through the collaboration of the 10/66 Dementia Research Group network.
Study authors stress that the instrument functions primarily as a research asset rather than a general screening test for the broader public, providing clinical trials and investigations with an affordable, efficient mechanism to spot and enroll high-risk candidates in underserved areas.
“This study offers a valuable foundation for more inclusive dementia prevention research. With further validation across diverse regions, the score could help shape approaches that better reflect the needs of local communities.”
Professor Blossom Stephan, Chair in Dementia at Curtin University, in Perth, Australia, and a guarantor of the study
“Dementia is rising fastest in low- and middle-income countries, but the tools we use to understand risk have largely come from wealthier ones. I’m delighted that this NIHR-funded work helps close that gap, and grateful to colleagues across the 10/66 Dementia Research Group network who made it possible.”
Professor Dame Louise Robinson, Professor of Primary Care and Ageing at Newcastle University
