% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Bittner:890547,
author = {Bittner, Nora and Jockwitz, Christiane and Franke, Katja
and Gaser, Christian and Moebus, Susanne and Bayen, Ute J
and Amunts, Katrin and Caspers, Svenja},
title = {{W}hen your brain looks older than expected: combined
lifestyle risk and {B}rain{AGE}.},
journal = {Brain structure $\&$ function},
volume = {226},
issn = {1863-2661},
address = {Heidelberg},
publisher = {Springer},
reportid = {FZJ-2021-01029},
pages = {621–645},
year = {2021},
abstract = {Lifestyle may be one source of unexplained variance in the
great interindividual variability of the brain in
age-related structural differences. While physical and
social activity may protect against structural decline,
other lifestyle behaviors may be accelerating factors. We
examined whether riskier lifestyle correlates with
accelerated brain aging using the BrainAGE score in 622
older adults from the 1000BRAINS cohort. Lifestyle was
measured using a combined lifestyle risk score, composed of
risk (smoking, alcohol intake) and protective variables
(social integration and physical activity). We estimated
individual BrainAGE from T1-weighted MRI data indicating
accelerated brain atrophy by higher values. Then, the effect
of combined lifestyle risk and individual lifestyle
variables was regressed against BrainAGE. One unit increase
in combined lifestyle risk predicted 5.04 months of
additional BrainAGE. This prediction was driven by smoking
(0.6 additional months of BrainAGE per pack-year) and
physical activity (0.55 less months in BrainAGE per
metabolic equivalent). Stratification by sex revealed a
stronger association between physical activity and BrainAGE
in males than females. Overall, our observations may be
helpful with regard to lifestyle-related tailored prevention
measures that slow changes in brain structure in older
adults.},
keywords = {Lifestyle (Other) / MR-based age estimation (Other) /
MR-morphometry (Other) / Physical activity (Other) / Smoking
(Other)},
cin = {INM-1 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080010_20140620$},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525) / HBP SGA2 - Human Brain Project Specific Grant
Agreement 2 (785907) / HBP SGA3 - Human Brain Project
Specific Grant Agreement 3 (945539)},
pid = {G:(DE-HGF)POF4-525 / G:(EU-Grant)785907 /
G:(EU-Grant)945539},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:33423086},
UT = {WOS:000606725700001},
doi = {10.1007/s00429-020-02184-6},
url = {https://juser.fz-juelich.de/record/890547},
}