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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.
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http://dx.doi.org/10.1186/s12966-023-01557-4 | DOI Listing |
J Epidemiol
September 2025
Faculty of Sport Sciences, Waseda University.
Background: Brief measures of 24-hour movement behaviors are needed to easily evaluate their durations. The present study investigated the criterion validity and test-retest reliability of a brief self-report instrument to assess 24-hour movement behaviors.
Methods: A paper-based self-administered questionnaire was used to assess sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with four items in 35 healthy adults.
BMJ Open
August 2025
Child Health and Physical Activity Laboratory, School of Occupational Therapy, University of Western Ontario, London, Ontario, Canada
Introduction: Mental health conditions are a major public health challenge. Though typically diagnosed in adolescence, these conditions may arise during early childhood. Considerable evidence shows that engagement in healthy movement behaviours (ie, regular physical activity, reduced sedentary behaviour and sufficient sleep) is associated with a lower risk of mental health conditions in adolescents and adults.
View Article and Find Full Text PDFBMC Public Health
August 2025
Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, Washington Luiz Road, km 235, SP310, São Carlos, São Paulo, 13565-905, Brazil.
Background: Physical behaviours over a 24-hour period are important for health. However, we do not know if interventions using a "24-hour time-use approach" are more effective in improving 24-hour time-use behaviours than the traditional "reduce sitting at work approach". Thus, the aim of our non-randomised controlled study was to investigate this in a high-risk group of overweight and obese Brazilian office workers.
View Article and Find Full Text PDFSage Open Aging
August 2025
Queen's University, Kingston, ON, Canada.
Objectives: This study examined the relationship between the 24-hour movement behavior composition-including sleep, sedentary time, light physical activity, and moderate-to-vigorous physical activity-and dementia risk.
Methods: 93,781 participants (mean age: 62 years) from the UK Biobank were studied. The average daily time spent in each movement behavior was determined using accelerometers.
Int J Environ Res Public Health
June 2025
Laboratory for Integrative and Translational Research in Population Health, Research Centre in Physical Activity, Health and Leisure, University of Porto, 4200-450 Porto, Portugal.
Compositional Data Analysis (CoDA) is a powerful statistical approach for analyzing 24 h time-use data, effectively addressing the interdependence of sleep, sedentary behavior, and physical activity. Unlike traditional methods that struggle with perfect multicollinearity, CoDA handles time use as proportions of a whole, providing biologically meaningful insights into how daily activity patterns relate to health. Applications in epidemiology have linked variations in time allocation between behaviors to key health outcomes, including adiposity, cardiometabolic health, cognitive function, fitness, quality of life, glycomics, clinical psychometrics, and mental well-being.
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