September 20, 2025Journal of Clinical MedicineOpen Access

Hypertension, Diabetes and Depression as Modifiable Risk Factors for Dementia: A Common Data Model Approach in a Population-Based Cohort, with Study Protocol and Preliminary Results

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Discussion

Population-based cohort study shows interactions between hypertension, diabetes, and depression in dementia, indicating prevention potential.

Preliminary results indicate that hypertension, diabetes, and depression influence dementia onset, highlighting modifiable risk factors.
More than 3 million individuals aged ≥ 50 were followed from 2011 to 2022, supporting comprehensive analysis of dementia risk.
Utilizing a Common Data Model (CDM) allowed a standardized approach across five regions, facilitating uniform analysis of data.
Findings suggest that using Healthcare Utilization Databases (HUDs) could enhance large-scale dementia prevention research in diverse settings.

Zenesini et al. (2025) studied this question.

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Population-based cohort study shows interactions between hypertension, diabetes, and depression in dementia, indicating prevention potential.