Development and validation of screening tools for motoric cognitive risk syndrome in community settings

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Cross-sectional study validates screening tools for motoric cognitive risk in older Chinese adults, suggesting effective community interventions.

Motoric cognitive risk syndrome was identified in 13.12% of participants over 50 years old, indicating a significant need for screening.
Decision tree and logistic regression models achieved AUCs of up to 0.859, demonstrating good predictive accuracy for MCR.
A cross-sectional study evaluated the performance of models on datasets split into training and testing groups, ensuring reliability.
Community application of these models can enhance early dementia prevention strategies for older adults and clinicians.

Su et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

Cross-sectional study validates screening tools for motoric cognitive risk in older Chinese adults, suggesting effective community interventions.