Hauptseite > Publikationsdatenbank > When your brain looks older than expected: combined lifestyle risk and BrainAGE. > print |
001 | 890547 | ||
005 | 20230418141525.0 | ||
024 | 7 | _ | |a 10.1007/s00429-020-02184-6 |2 doi |
024 | 7 | _ | |a pmid:33423086 |2 pmid |
024 | 7 | _ | |a 0044-2232 |2 ISSN |
024 | 7 | _ | |a 0340-2061 |2 ISSN |
024 | 7 | _ | |a 1432-0568 |2 ISSN |
024 | 7 | _ | |a 1863-2653 |2 ISSN |
024 | 7 | _ | |a 1863-2661 |2 ISSN |
024 | 7 | _ | |a 2128/27588 |2 Handle |
024 | 7 | _ | |a altmetric:97543969 |2 altmetric |
024 | 7 | _ | |a WOS:000606725700001 |2 WOS |
037 | _ | _ | |a FZJ-2021-01029 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Bittner, Nora |0 P:(DE-Juel1)166110 |b 0 |u fzj |
245 | _ | _ | |a When your brain looks older than expected: combined lifestyle risk and BrainAGE. |
260 | _ | _ | |a Heidelberg |c 2021 |b Springer |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1618299219_16802 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a 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. |
536 | _ | _ | |a 525 - Decoding Brain Organization and Dysfunction (POF4-525) |0 G:(DE-HGF)POF4-525 |c POF4-525 |x 0 |f POF IV |
536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |x 1 |f H2020-SGA-FETFLAG-HBP-2017 |
536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |x 2 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
650 | _ | 7 | |a Lifestyle |2 Other |
650 | _ | 7 | |a MR-based age estimation |2 Other |
650 | _ | 7 | |a MR-morphometry |2 Other |
650 | _ | 7 | |a Physical activity |2 Other |
650 | _ | 7 | |a Smoking |2 Other |
700 | 1 | _ | |a Jockwitz, Christiane |0 P:(DE-Juel1)145386 |b 1 |u fzj |
700 | 1 | _ | |a Franke, Katja |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Gaser, Christian |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Moebus, Susanne |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a Bayen, Ute J |0 P:(DE-HGF)0 |b 5 |
700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 6 |u fzj |
700 | 1 | _ | |a Caspers, Svenja |0 P:(DE-Juel1)131675 |b 7 |e Corresponding author |u fzj |
773 | _ | _ | |a 10.1007/s00429-020-02184-6 |0 PERI:(DE-600)2303775-1 |p 621–645 |t Brain structure & function |v 226 |y 2021 |x 1863-2661 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/890547/files/Bittner2021_Article_WhenYourBrainLooksOlderThanExp.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:890547 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p ec_fundedresources |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)166110 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)145386 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)131631 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)131675 |
913 | 0 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-571 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Connectivity and Activity |x 0 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |x 0 |
914 | 1 | _ | |y 2021 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1040 |2 StatID |b Zoological Record |d 2020-09-02 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2020-09-02 |
915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2020-09-02 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2020-09-02 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2020-09-02 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2020-09-02 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BRAIN STRUCT FUNCT : 2018 |d 2020-09-02 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2020-09-02 |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2020-09-02 |
915 | p | c | |a APC keys set |2 APC |0 PC:(DE-HGF)0000 |
915 | p | c | |a Local Funding |2 APC |0 PC:(DE-HGF)0001 |
915 | p | c | |a DFG OA Publikationskosten |2 APC |0 PC:(DE-HGF)0002 |
915 | p | c | |a DEAL: Springer Nature 2020 |2 APC |0 PC:(DE-HGF)0113 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
920 | 1 | _ | |0 I:(DE-82)080010_20140620 |k JARA-BRAIN |l JARA-BRAIN |x 1 |
980 | 1 | _ | |a FullTexts |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
980 | _ | _ | |a I:(DE-82)080010_20140620 |
980 | _ | _ | |a APC |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|