Differences between chronological and brain age are related to education and self-reported physical activity.

TitleDifferences between chronological and brain age are related to education and self-reported physical activity.
Publication TypeJournal Article
Year of Publication2016
AuthorsSteffener J, Habeck C, O'Shea D, Razlighi Q, Bherer L, Stern Y
JournalNeurobiol Aging
Volume40
Pagination138-144
Date Published2016 Apr
ISSN1558-1497
KeywordsAdult, Aged, Aging, Biomarkers, Diagnostic Self Evaluation, Diffusion Magnetic Resonance Imaging, Educational Status, Exercise, Female, Gray Matter, Humans, Life Style, Male, Middle Aged, Multivariate Analysis, Young Adult
Abstract

This study investigated the relationship between education and physical activity and the difference between a physiological prediction of age and chronological age (CA). Cortical and subcortical gray matter regional volumes were calculated from 331 healthy adults (range: 19-79 years). Multivariate analyses identified a covariance pattern of brain volumes best predicting CA (R(2) = 47%). Individual expression of this brain pattern served as a physiologic measure of brain age (BA). The difference between CA and BA was predicted by education and self-report measures of physical activity. Education and the daily number of flights of stairs climbed (FOSC) were the only 2 significant predictors of decreased BA. Effect sizes demonstrated that BA decreased by 0.95 years for each year of education and by 0.58 years for 1 additional FOSC daily. Effects of education and FOSC on regional brain volume were largely driven by temporal and subcortical volumes. These results demonstrate that higher levels of education and daily FOSC are related to larger brain volume than predicted by CA which supports the utility of regional gray matter volume as a biomarker of healthy brain aging.

DOI10.1016/j.neurobiolaging.2016.01.014
Alternate JournalNeurobiol Aging
PubMed ID26973113
PubMed Central IDPMC4792330
Grant ListR56 AG026158 / AG / NIA NIH HHS / United States
AG044467 / AG / NIA NIH HHS / United States
K01 AG035061 / AG / NIA NIH HHS / United States
R01 AG038465 / AG / NIA NIH HHS / United States
R01 AG026158 / AG / NIA NIH HHS / United States
AG035061 / AG / NIA NIH HHS / United States
K01 AG044467 / AG / NIA NIH HHS / United States
AG026158 / AG / NIA NIH HHS / United States
AG038465 / AG / NIA NIH HHS / United States
RF1 AG038465 / AG / NIA NIH HHS / United States
Related Institute: 
Brain Health Imaging Institute (BHII)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065