English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Both theoretical and statistically derived approaches have been used in research settings for predicting cognitive decline.    Methods  Fifty‐eight cognitively normal (NC) and 71 mild cognitive impairment (MCI) subjects completed a comprehensive cognitive battery for up to 5 years of follow‐up. Composite indices of cognitive function were derived using a classic theoretical approach and exploratory factor analysis (EFA). Cognitive variables comprising each factor were averaged to form the EFA composite indices. Logistic regression was used to investigate whether these cognitive composites can reliably predict cognitive outcomes.    Results  Neither method predicted decline in NC. The theoretical memory, executive, attention, and language composites and the EFA‐derived “attention/executive” and “verbal memory” composites were significant predictors of decline in MCI. The best models achieved an area under the curve of 0.94 in MCI.    Conclusions  The theoretical and the statistically derived cognitive composite approaches are useful in predicting decline in MCI but not in NC.

A comparison of theoretical and statistically derived indices for predicting cognitive decline