CONSIDERATIONS FOR CROSS-NATIONAL APPROACHES TO ESTIMATING PREVALENCE OF DEMENTIA
2024

Estimating Dementia Prevalence Across Countries

publication

Author Information

Author(s): Cai Wenjie, Jones Richard, Gross Alden

Primary Institution: Johns Hopkins University

Hypothesis

How do variations in classification algorithms affect dementia prevalence estimates across different countries?

Conclusion

The study highlights that consistent methodologies are crucial for accurate cross-national dementia prevalence estimates.

Supporting Evidence

  • The overall prevalence of dementia ranged from 8% in India to 9% in the US and England.
  • Using a more liberal 1.0 SD cutoff on cognitive tests led to higher dementia prevalence by 3-7%.
  • Excluding orientation to time/place from cognitive domains resulted in lower prevalence of dementia by 2-3%.

Takeaway

This study looks at how different ways of measuring dementia can change the numbers we see, showing that some methods make it look like more people have it than others.

Methodology

The study evaluated variations of a classification algorithm based on neuropsychological norms using HCAP studies from the US, England, and India.

Participant Demographics

Population-representative samples from the US, England, and India.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.2082

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