Abstract
| Original language | English |
|---|---|
| Article number | 110692 |
| Journal | Brain Research Bulletin |
| Volume | 200 |
| DOIs | |
| Publication status | Published - 1 Aug 2023 |
Keywords
- Alcohol
- Brain structure
- Obesity
- Physical activity
- Sleep
- Smoking
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In: Brain Research Bulletin, Vol. 200, 110692, 01.08.2023.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan
T2 - A pooled analysis in the European Lifebrain consortium
AU - Binnewies, Julia
AU - Nawijn, Laura
AU - Brandmaier, Andreas M.
AU - Baaré, William F. C.
AU - Boraxbekk, Carl-Johan
AU - Demnitz, Naiara
AU - Drevon, Christian A.
AU - Fjell, Anders M.
AU - Lindenberger, Ulman
AU - Madsen, Kathrine Skak
AU - Nyberg, Lars
AU - Topiwala, Anya
AU - Walhovd, Kristine B.
AU - Ebmeier, Klaus P.
AU - Penninx, Brenda W. J. H.
N1 - Funding Information: The Lifebrain project was funded by the EU Horizon, 2020 Grant: “Healthy minds 0–100 years: Optimizing the use of European brain imaging cohorts (‘Lifebrain’).” Grant agreement number: 732592 (Lifebrain). Call: Societal challenges: Health, demographic change and well-being. In addition, the different sub-studies are supported by different sources: LCBC: The European Research Council under grant agreements 283634, 725025 (to A.M.F.) and 313440 (to K.B.W.), as well as the Norwegian Research Council (to A.M.F. K.B.W.), The National Association for Public Health's dementia research program, Norway (to A.M.F). Betula: a scholar grant from the Knut and Alice Wallenberg (KAW) foundation to L.N. BASE-II has been supported by the German Federal Ministry of Education and Research under grant numbers 16SV5537/16SV5837/16SV5538/16SV5536K/01UW0808/01UW0706/01GL1716A/01GL1716B, the European Research Council under grant agreement 677804 (to S.K.). Work on the Whitehall II Imaging Substudy was mainly funded by Lifelong Health and Well- being Programme Grant G1001354 from the UK Medical Research Council (“Predicting MRI Abnormalities with Longitudinal Data of the Whitehall II Substudy”) to K.E. AT is supported by funding from the Wellcome Trust (216462/Z/19/Z). The LISA study was supported by the Nordea Foundation (Grant from Center for Healthy Aging, University of Copenhagen, Denmark). ND is supported by funding from the Lundbeck Foundation (Grant Nr. R380-2021-1269). The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-000-1002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). The authors would like to thank the participants of the NESDA study, and the staff involved in data collection and data management. The MOTAR study was funded by NWO VICI grant number 91811602 of B.W.J.H. Penninx. NWO had no role in the design of the study, the collection, analysis and interpretation of the data, or in the preparation, review, or approval of the manuscript. Funding Information: The Lifebrain project was funded by the EU Horizon , 2020 Grant: “Healthy minds 0–100 years: Optimizing the use of European brain imaging cohorts (‘Lifebrain’).” Grant agreement number: 732592 (Lifebrain). Call: Societal challenges: Health, demographic change and well-being. In addition, the different sub-studies are supported by different sources: LCBC: The European Research Council under grant agreements 283634, 725025 (to A.M.F.) and 313440 (to K.B.W.), as well as the Norwegian Research Council (to A.M.F., K.B.W.), The National Association for Public Health's dementia research program , Norway (to A.M.F). Betula: a scholar grant from the Knut and Alice Wallenberg (KAW) foundation to L.N. BASE-II has been supported by the German Federal Ministry of Education and Research under grant numbers 16SV5537/16SV5837/16SV5538/16SV5536K/01UW0808/01UW0706/01GL1716A/01GL1716B , the European Research Council under grant agreement 677804 (to S.K.). Work on the Whitehall II Imaging Substudy was mainly funded by Lifelong Health and Well- being Programme Grant G1001354 from the UK Medical Research Council (“Predicting MRI Abnormalities with Longitudinal Data of the Whitehall II Substudy”) to K.E. AT is supported by funding from the Wellcome Trust ( 216462/Z/19/Z ). The LISA study was supported by the Nordea Foundation (Grant from Center for Healthy Aging, University of Copenhagen, Denmark). ND is supported by funding from the Lundbeck Foundation (Grant Nr. R380-2021-1269 ). The infrastructure for the NESDA study ( www.nesda.nl ) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development ( ZonMw , grant number 10-000‐1002 ) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). The authors would like to thank the participants of the NESDA study, and the staff involved in data collection and data management. The MOTAR study was funded by NWO VICI grant number 91811602 of B.W.J.H. Penninx. NWO had no role in the design of the study, the collection, analysis and interpretation of the data, or in the preparation, review, or approval of the manuscript. Publisher Copyright: © 2023
PY - 2023/8/1
Y1 - 2023/8/1
N2 - Background: Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. Methods: We included 3838 participants aged 18–90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. Results: High alcohol use was associated with lower hippocampal volume (r = −0.10, p = 0.021), and overweight/obesity with lower total GMV (r = −0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = −0.08, p = 0.001), but not hippocampal volume (r = −0.01, p = 0.625). Conclusions: This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
AB - Background: Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. Methods: We included 3838 participants aged 18–90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. Results: High alcohol use was associated with lower hippocampal volume (r = −0.10, p = 0.021), and overweight/obesity with lower total GMV (r = −0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = −0.08, p = 0.001), but not hippocampal volume (r = −0.01, p = 0.625). Conclusions: This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
KW - Alcohol
KW - Brain structure
KW - Obesity
KW - Physical activity
KW - Sleep
KW - Smoking
UR - http://www.scopus.com/inward/record.url?scp=85163160957&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.brainresbull.2023.110692
DO - https://doi.org/10.1016/j.brainresbull.2023.110692
M3 - Article
C2 - 37336327
SN - 0361-9230
VL - 200
JO - Brain Research Bulletin
JF - Brain Research Bulletin
M1 - 110692
ER -