Kristine Yaffe|Alexandra Fiocco|Karla Lindquist|Eric Vittinghoff|Eleanor M. Simonsick|Anne B. Newman|Suzanne Satterfield|Caterina Rosano|Susan M. Rubin|Hilsa N. Ayonayon|Tamara B. Harris
Predictors of maintaining cognitive function in older adults
National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center|San Francisco VA Medical Center|National Institute on Aging|University of California, San Francisco|University of Tennessee Health Science Center
although several risk factors cognitive decline identified much less known factors predict maintenance cognitive function advanced agewe studied 2509 wellfunctioning black white elders enrolled prospective study cognitive function measured using modified minimental state examination baseline years 3 5 8 random effects models used classify participants cognitive maintainers cognitive change slope 0 minor decliners slope 0 1 sd mean major decliners slope 1 sd mean logistic regression used identify domainspecific factors associated maintainer vs minor declinerover 8 years 30 participants maintained cognitive function 53 showed minor decline 16 major cognitive decline multivariate model baseline variables significantly associated maintainer vs minor decliner age odds ratio 065 95 confidence interval ci 055077 per 5 years white race 172 95 ci 130228 high school education level greater 275 95 ci 178426 ninth grade literacy level greater 485 95 ci 300787 weekly moderatevigorous exercise 131 95 ci 106162 smoking 184 95 ci 114297 variables associated major cognitive decline compared minor cognitive decline reportedelders maintain cognitive function unique profile differentiates minor decline importantly factors modifiable thus may implemented prevention programs promote successful cognitive aging factors associated maintenance may differ factors associated major cognitive decline may impact prevention vs treatment strategies