Evidence map›Paper›PMID 38291446›Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults.

Maddison L Mellow, Dorothea Dumuid, Timothy Olds, Ty Stanford, Jillian Dorrian, Alexandra T Wade, Jurgen Fripp, Ying Xia, Mitchell R Goldsworthy, Frini Karayanidis and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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  11. 24-hour activity cycle behaviors and gray matter volume in mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Maddison L MellowAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia. maddison.mellow@mymail.unisa.edu.au.ORCID 0000-0002-0514-8261
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Timothy OldsAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Ty StanfordAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Jillian DorrianBehaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia.
Alexandra T WadeAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Jurgen FrippThe Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia.
Ying XiaThe Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia.
Mitchell R GoldsworthyBehaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia.
Frini KarayanidisFunctional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia.
Michael J BreakspearFunctional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia.
Ashleigh E SmithAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
University of South Australia · AUAustralian e-Health Research Centre · AUUniversity of Newcastle Australia · AU

Funding

Australian Research Council DE200100575Australian Research Council DE230101174Dementia Australia Henry Brodaty Mid-Career FellowshipDementia Australia Research Foundation PhD scholarshipHospital Research Foundation C-PJ-008-Transl-2020National Health and Medical Research Council GNT1162166National Health and Medical Research Council GNT1171313
6 · The paper itself

Abstract

backgroundIncreasing 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.

methodsThis 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.

resultsAfter 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.

conclusionsAlthough 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.

Indexed as

Gray MatterMagnetic Resonance ImagingAgedAustraliaCognitionCross-Sectional StudiesHumansMaleMiddle AgedAgingBrain volumeCognitive functionPhysical activitySedentary behaviourSleepTime use

Identifiers

PMID38291446
PMCPMC10829181
OpenAlexW4391362218

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.