ArticleThe journal of prevention of Alzheimer's disease2026
Modifiable lifestyle factors for dementia risk in an online cohort assessed by the MoCA Cognitive Health Assessment Index (MoCA-CHAI).
Article in The journal of prevention of Alzheimer's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe growing prevalence of dementia highlights the need for a risk assessment tool that is accessible, facilitates the identification of at-risk individuals, and provides evidence-based guidance on how to reduce dementia risk.
objectivesWe developed, deployed, and evaluated the MoCA-CHAI, a self-administered, online dementia risk assessment for the general public. We provide a brief overview of its development, the self-enrolled population that has completed it, and a preliminary evaluation of its predictive performance.
methodDrawing on the 2024 Lancet report, we developed the MoCA-CHAI translating the 14 identified risk factors into a questionnaire. We used the MoCA XpressO as a measure of cognitive impairment and a proxy measure for the probability of having or developing dementia.
findingsThe MoCA-CHAI was completed by 3886 people. Based on their XpressO score, 11.3% showed a high probability of cognitive impairment. Using a logistic regression analysis, we found that each 1-point increase in MoCA-CHAI score decreases the odds of having cognitive impairment by 1%. Physical inactivity and exposure to air pollution are the most prevalent risk factors across the lifespan. Depression is more prevalent in young adults, while high cholesterol, hypertension, diabetes, and excessive alcohol consumption are more prevalent in middle-aged and older adults.
conclusionsThese findings demonstrate that the MoCA-CHAI provides insight into modifiable lifestyle factors and dementia risk. Differences in prevalences of risk factors indicate that prevention strategies need to be tailored to age-specific risk profiles. The MoCA-CHAI may help identify at-risk individuals who could benefit from targeted prevention and monitoring.
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