TY - JOUR
T1 - Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults
AU - Mellow, Maddison L.
AU - Dumuid, Dorothea
AU - Olds, Timothy
AU - Stanford, Ty
AU - Dorrian, Jillian
AU - Wade, Alexandra T.
AU - Fripp, Jurgen
AU - Xia, Ying
AU - Goldsworthy, Mitchell R.
AU - Karayanidis, Frini
AU - Breakspear, Michael J.
AU - Smith, Ashleigh E.
N1 - Funding Information:
MM was supported by a Dementia Australia Research Foundation PhD scholarship. The ACTIVate study is funded by an NHMRC Boosting Dementia Research Priority Round 5 grant (GNT1171313, $1.23 m). DD was supported by an NHMRC Early Career Fellowship (GNT1162166, 2019–2022) and an ARC Discovery Early Career Award (DE230101174, 2023–2025). MG was supported by an Australian Research Council (ARC) fellowship (DE200100575). TS was supported by a Hospital Research Foundation grant (C-PJ-008-Transl-2020) awarded to AS and DD. AS was supported by a Dementia Australia Henry Brodaty Mid-Career Fellowship. The funding bodies were not involved the design or conduct of the study; collection, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or the decision to submit the manuscript for peer-reviewed publication.
Funding Information:
We firstly thank the imaging teams at the Hunter Medical Research Institute and the Clinical Research Imaging Centre (SAHMRI site) for your invaluable assistance in collecting MRI data for our study. We thank Montana Hunter, Louise Massie, Kate Dyer, Johanna Paddick, Felicity Simpson, Ashlee Harvey, Nicholas Ware, Leon Day, Elena Milochis, Alannah Graziano, Elizabeth Taddeo, Karen Wilson, Jenna Johnson, Nathan Tran, Gemma Mieko Furuhashi, Helen Nicholas, Riley Jackson, Teigan Cotterill, Mahmoud Abdolhoseini, Fayeem Aziz, and David Metherell for their valued contribution towards data collection and study coordination. We also thank the HMRI Research Volunteer Register for partial recruitment of participants at the Newcastle site.
Publisher Copyright:
© 2024, The Author(s).
PY - 2024/1/30
Y1 - 2024/1/30
N2 - Background: Increasing physical activity (PA) is an effective strategy to slow reductions in cortical volume and maintain cognitive function in older adulthood. However, PA does not exist in isolation, but coexists with sleep and sedentary behaviour to make up the 24-hour day. We investigated how the balance of all three behaviours (24-hour time-use composition) is associated with grey matter volume in healthy older adults, and whether grey matter volume influences the relationship between 24-hour time-use composition and cognitive function. Methods: This cross-sectional study included 378 older adults (65.6 ± 3.0 years old, 123 male) from the ACTIVate study across two Australian sites (Adelaide and Newcastle). Time-use composition was captured using 7-day accelerometry, and T1-weighted magnetic resonance imaging was used to measure grey matter volume both globally and across regions of interest (ROI: frontal lobe, temporal lobe, hippocampi, and lateral ventricles). Pairwise correlations were used to explore univariate associations between time-use variables, grey matter volumes and cognitive outcomes. Compositional data analysis linear regression models were used to quantify associations between ROI volumes and time-use composition, and explore potential associations between the interaction between ROI volumes and time-use composition with cognitive outcomes. Results: After adjusting for covariates (age, sex, education), there were no significant associations between time-use composition and any volumetric outcomes. There were significant interactions between time-use composition and frontal lobe volume for long-term memory (p = 0.018) and executive function (p = 0.018), and between time-use composition and total grey matter volume for executive function (p = 0.028). Spending more time in moderate-vigorous PA was associated with better long-term memory scores, but only for those with smaller frontal lobe volume (below the sample mean). Conversely, spending more time in sleep and less time in sedentary behaviour was associated with better executive function in those with smaller total grey matter volume. Conclusions: Although 24-hour time use was not associated with total or regional grey matter independently, total grey matter and frontal lobe grey matter volume moderated the relationship between time-use composition and several cognitive outcomes. Future studies should investigate these relationships longitudinally to assess whether changes in time-use composition correspond to changes in grey matter volume and cognition.
AB - Background: Increasing physical activity (PA) is an effective strategy to slow reductions in cortical volume and maintain cognitive function in older adulthood. However, PA does not exist in isolation, but coexists with sleep and sedentary behaviour to make up the 24-hour day. We investigated how the balance of all three behaviours (24-hour time-use composition) is associated with grey matter volume in healthy older adults, and whether grey matter volume influences the relationship between 24-hour time-use composition and cognitive function. Methods: This cross-sectional study included 378 older adults (65.6 ± 3.0 years old, 123 male) from the ACTIVate study across two Australian sites (Adelaide and Newcastle). Time-use composition was captured using 7-day accelerometry, and T1-weighted magnetic resonance imaging was used to measure grey matter volume both globally and across regions of interest (ROI: frontal lobe, temporal lobe, hippocampi, and lateral ventricles). Pairwise correlations were used to explore univariate associations between time-use variables, grey matter volumes and cognitive outcomes. Compositional data analysis linear regression models were used to quantify associations between ROI volumes and time-use composition, and explore potential associations between the interaction between ROI volumes and time-use composition with cognitive outcomes. Results: After adjusting for covariates (age, sex, education), there were no significant associations between time-use composition and any volumetric outcomes. There were significant interactions between time-use composition and frontal lobe volume for long-term memory (p = 0.018) and executive function (p = 0.018), and between time-use composition and total grey matter volume for executive function (p = 0.028). Spending more time in moderate-vigorous PA was associated with better long-term memory scores, but only for those with smaller frontal lobe volume (below the sample mean). Conversely, spending more time in sleep and less time in sedentary behaviour was associated with better executive function in those with smaller total grey matter volume. Conclusions: Although 24-hour time use was not associated with total or regional grey matter independently, total grey matter and frontal lobe grey matter volume moderated the relationship between time-use composition and several cognitive outcomes. Future studies should investigate these relationships longitudinally to assess whether changes in time-use composition correspond to changes in grey matter volume and cognition.
KW - Aging
KW - Brain volume
KW - Cognitive function
KW - Physical activity
KW - Sedentary behaviour
KW - Sleep
KW - Time use
UR - http://www.scopus.com/inward/record.url?scp=85183617867&partnerID=8YFLogxK
U2 - 10.1186/s12966-023-01557-4
DO - 10.1186/s12966-023-01557-4
M3 - Article
AN - SCOPUS:85183617867
SN - 1479-5868
VL - 21
JO - International Journal of Behavioral Nutrition and Physical Activity
JF - International Journal of Behavioral Nutrition and Physical Activity
IS - 1
M1 - 11
ER -