Evidence map›Paper›PMID 36743444›Full record

ArticleNeuroimage. Reports2022

Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body composition.

David Wing, Lisa T Eyler, Eric J Lenze, Julie Loebach Wetherell, Jeanne F Nichols, Romain Meeusen, Job G Godino, Joshua S Shimony, Abraham Z Snyder, Tomoyuki Nishino and 3 more

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Neuroimaging-Derived Predicted Brain Age and Alcohol Use Among Community-Dwelling Older Adults.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Observational
  7. Article
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

13 authors.

David WingHerbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States.
Lisa T EylerDepartment of Psychiatry, University of California, San Diego, United States.
Eric J LenzeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Julie Loebach WetherellMental Health Service, VA San Diego Healthcare System, United States.
Jeanne F NicholsHerbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States.
Romain MeeusenHuman Physiology & Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.
Job G GodinoHerbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Abraham Z SnyderMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Tomoyuki NishinoDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Ginger E NicolDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Guy NagelsDepartment of Neurology, UZ Brussel, Brussels, Belgium.
Bart RoelandsHuman Physiology & Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Remediating Age Related-Cognitive Decline: Mindfulness-Based Stress Reduction and ExerciseR01AG049369 · NIA · WASHINGTON UNIVERSITY · PI LENZE, ERIC J · 2014 to 2019
$15.6M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Resilience and brain health of older adults during the COVID-19 pandemicR01AG072694 · NIA · WASHINGTON UNIVERSITY · PI DINIZ, BRENO SATLER, LENZE, ERIC J · 2021 to 2025
$9.1M
NIA NIH HHS R01 AG049369NIA NIH HHS R01 AG072694NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

Introduction: Changes in brain structure and function occur with aging. However, there is substantial heterogeneity both in terms of when these changes begin, and the rate at which they progress. Understanding the mechanisms and/or behaviors underlying this heterogeneity may allow us to act to target and slow negative changes associated with aging. Methods: Using T1 weighted MRI images, we applied a novel algorithm to determine the physiological age of the brain (brain-predicted age) and the predicted age difference between this physiologically based estimate and chronological age (BrainPAD) to 551 sedentary adults aged 65 to 84 with self-reported cognitive complaint measured at baseline as part of a larger study. We also assessed maximal aerobic capacity with a graded exercise test, physical activity and sleep with accelerometers, and body composition with dual energy x-ray absorptiometry. Associations were explored both linearly and logistically using categorical groupings. Results: Visceral Adipose Tissue (VAT), Total Sleep Time (TST) and maximal aerobic capacity all showed significant associations with BrainPAD. Greater VAT was associated with higher (i.e,. older than chronological) BrainPAD (r = 0.149 p = 0.001)Greater TST was associated with higher BrainPAD (r = 0.087 p = 0.042) and greater aerobic capacity was associated with lower BrainPAD (r = - 0.088 p = 0.040). With linear regression, both VAT and TST remained significant (p = 0.036 and 0.008 respectively). Each kg of VAT predicted a 0.741 year increase in BrainPAD, and each hour of increased TST predicted a 0.735 year increase in BrainPAD. Maximal aerobic capacity did not retain statistical significance in fully adjusted linear models. Discussion: Accumulation of visceral adipose tissue and greater total sleep time, but not aerobic capacity, total daily physical activity, or sleep quantity and/or quality are associated with brains that are physiologically older than would be expected based upon chronological age alone (BrainPAD).

Indexed as

Body compositionBrainAgeMaximal cardiovascular fitnessSleep quantitySuccessful agingVisceral adipose tissue

Identifiers

PMID36743444
PMCPMC9894084

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.