4 years ago

Nutrient biomarker patterns and long-term risk of dementia in older adults

Several nutrients may predict dementia risk. We characterized nutrient biomarker patterns, which integrate the complexity of nutrient exposure and biodisponibility associated with long-term risk of dementia in a large cohort of older persons, the Three-City study. Methods We included 666 nondemented participants with plasma measurements of 22 fat-soluble nutrients at baseline, who were followed up for 12 years for dementia. Results A “deleterious” pattern combining lower blood status in vitamin D, carotenoids, and polyunsaturated fats and higher saturated fats was strongly associated with a higher risk of dementia. Compared with individuals in the first quintile of the pattern score, participants in the highest quintile of score had an approximately fourfold increased risk of dementia (hazard ratio = 4.53 [95% confidence interval 1.99, 10.32], P for trend <.001) in multivariate models. Discussion A blood pattern reflecting lower status in several nutrients among nondemented individuals appeared strongly associated with the long-term risk of dementia in this cohort.

Publisher URL: www.sciencedirect.com/science

DOI: S1552526017300869

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.