Evidence map›Paper›PMID 35591948›Full record

ArticleJournal of Alzheimer's disease reports2022

Factors Influencing Change in Brain-Predicted Age Difference in a Cohort of Healthy Older Individuals.

Jo Wrigglesworth, Ian H Harding, Phillip Ward, Robyn L Woods, Elsdon Storey, Bernadette Fitzgibbon, Gary Egan, Anne Murray, Raj C Shah, Ruth E Trevaks and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

14 authors at 5 institutions in 2 countries.

Jo WrigglesworthSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Ian H HardingMonash Biomedical Imaging, Monash University, Clayton, VIC, Australia.
Phillip WardMonash Biomedical Imaging, Monash University, Clayton, VIC, Australia.
Robyn L WoodsSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Elsdon StoreySchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Bernadette FitzgibbonSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Gary EganMonash Biomedical Imaging, Monash University, Clayton, VIC, Australia.
Anne MurrayBerman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.
Raj C ShahDepartment of Family Medicine and the Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Ruth E TrevaksSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Stephanie WardSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
John J McNeilSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Joanne RyanSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-7039-6325
ASPREE investigator group
Monash University · AUAustralian Research Council · AURush University Medical Center · USUniversity of Minnesota · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is considerable variability in the rate at which we age biologically, and the brain is particularly susceptible to the effects of aging. Objective: We examined the test-retest reliability of brain age at one- and three-year intervals and identified characteristics that predict the longitudinal change in brain-predicted age difference (brain-PAD, defined by deviations of brain age from chronological age). Methods: T1-weighted magnetic resonance images were acquired at three timepoints from 497 community-dwelling adults (73.8±3.5 years at baseline, 48% were female). Brain age was estimated from whole brain volume, using a publicly available algorithm trained on an independent dataset. Linear mixed models were used, adjusting for sex, age, and age Results: Excellent retest reliability of brain age was observed over one and three years. We identified a significant sex difference in brain-PAD, where a faster rate of brain aging (worsening in brain age relative to chronological age) was observed in men, and this finding replicated in secondary analyses. The effect size, however, was relatively weak, equivalent to 0.16 years difference per year. A higher score in physical health related quality of life and verbal fluency were associated with a faster rate of brain aging, while depression was linked to a slower rate of brain aging, but these findings were not robust. Conclusion: Our study provides consistent evidence that older men have slightly faster brain atrophy than women. Given the sparsity of longitudinal research on brain age in older populations, future prospective studies are needed to confirm our findings.

Indexed as

Agingbiomarkerscognitiondepressionhealth statusneuroimagingphysical fitnessquality of lifesexsocial class

Identifiers

PMID35591948
PMCPMC9108625
OpenAlexW4220915714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.