Association between 24-h time-use composition and brain age: The IGNITE study

Audrey M. Collins; Maddison L. Mellow; Lu Wan; Ashleigh E. Smith; Lauren E. Oberlin; Kelsey R. Sewell; Neha P. Gothe; Jason Fanning; Jairo H. Migueles; Dorothea Dumuid; Aaron Miatke; John M. Jakicic; Chaeryon Kang; George Grove; Haiqing Huang; Bradley P. Sutton; Anna L. Marsland; M. Ilyas Kamboh; Arthur F. Kramer; Eric D. Vidoni; Charles H. Hillman; Jeffrey M. Burns; Edward McAuley; Kirk I. Erickson

doi:10.1002/trc2.70187

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Association between 24-h time-use composition and brain age: The IGNITE study

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Association between 24-h time-use composition and brain age: The IGNITE study

Audrey M. Collins, Maddison L. Mellow, Lu Wan, Ashleigh E. Smith, Lauren E. Oberlin, Kelsey R. Sewell, Neha P. Gothe, Jason Fanning, Jairo H. Migueles, Dorothea Dumuid, …

Alzheimer's & dementia : translational research & clinical interventions, Vol.11(4), e70187

2025

DOI: https://doi.org/10.1002/trc2.70187

PMID: 41445670

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Abstract

brain age

compositional data analysis

physical activity

sedentary behavior

sleep

INTRODUCTION The relationships between 24-h time-use composition (i.e., sleep, sedentary behavior, light physical activity, and moderate-to-vigorous physical activity [MVPA]) and brain morphology in older adulthood remain poorly understood. We examined associations between 24-h time-use composition and brain age using compositional data analysis, predicting that 24-h time use would be associated with brain age and that a greater amount of time engaged in MVPA would drive associations with younger brain age. METHODS Baseline data from the Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE; n = 648) were analyzed. Brain age was estimated using T1-weighted magnetic resonance imaging data. Time-use composition was derived from wrist-worn triaxial accelerometers. Regression models examined associations between 24-h time-use composition (expressed as isometric log ratios) and brain age, adjusting for age, sex, apolipoprotein E4 (APOE4) carriage, education, body mass index, image quality, and site. Compositional isotemporal substitution evaluated how hypothetical reallocations of time between behaviors related to brain age. RESULTS The final sample included 573 adults (69.8±3.7 years, 407 females). It was found that 24-h time-use composition was associated with brain age (F = 2.72, p = 0.004). Post hoc modeling indicated that time spent in MVPA primarily drove these associations, such that less MVPA was associated with greater brain age, irrespective of whether time was taken from sleep, sedentary behavior, or light physical activity. DISCUSSION These results suggest that 24-h time use, especially time spent in MVPA, relates to structural brain age in late adulthood. Maintaining or increasing MVPA may help preserve younger brain age, irrespective of which behaviors this time was reallocated from. Future research should examine whether systematically shifting 24-h time use toward MVPA alters brain aging trajectories.

Details

Title: Association between 24-h time-use composition and brain age: The IGNITE study
Authors/Creators: Audrey M. Collins - Translational Research Institute for Metabolism and Diabetes
Maddison L. Mellow - Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
Lu Wan - Translational Research Institute for Metabolism and Diabetes
Ashleigh E. Smith - Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
Lauren E. Oberlin - Weill Cornell Medicine
Kelsey R. Sewell - Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
Neha P. Gothe - Northeastern University
Jason Fanning - Wake Forest University
Jairo H. Migueles - Universidad de Granada
Dorothea Dumuid - University of South Australia
Aaron Miatke - University of South Australia
John M. Jakicic - University of Kansas Medical Center
Chaeryon Kang - University of Pittsburgh
George Grove - University of Pittsburgh
Haiqing Huang - Translational Research Institute for Metabolism and Diabetes
Bradley P. Sutton - University of Illinois Urbana-Champaign
Anna L. Marsland - University of Pittsburgh
M. Ilyas Kamboh - University of Pittsburgh
Arthur F. Kramer - Northeastern University
Eric D. Vidoni - University of Kansas Medical Center
Charles H. Hillman - Northeastern University
Jeffrey M. Burns - University of Kansas
Edward McAuley - University of Illinois Urbana-Champaign
Kirk I. Erickson - University of Pittsburgh
Publication Details: Alzheimer's & dementia : translational research & clinical interventions, Vol.11(4), e70187
Publisher: Wiley Periodicals LLC on behalf of Alzheimer's Association.
Grant note: K23MH129882 / National Institute of Mental Health (100000025) Dementia Australia Research Foundation (100008710) R01 AG053952 / National Institutes of Health (100000002) DECRA DE230101174 / Australian Research Council (501100000923) R35 AG072307 / National Institutes of Health (100000002)
Identifiers: 991005848588707891
Murdoch Affiliation: Centre for Healthy Ageing
Language: English
Resource Type: Journal article

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