Evidence map›Paper›PMID 33230557›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

Association Between Brain Volumes and Patterns of Physical Activity in Community-Dwelling Older Adults.

Amal A Wanigatunga, Hang Wang, Yang An, Eleanor M Simonsick, Qu Tian, Christos Davatzikos, Jacek K Urbanek, Vadim Zipunnikov, Adam P Spira, Luigi Ferrucci and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
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  10. Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Objectively Measured Patterns of Daily Physical Activity and Phenotypic Frailty.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  15. Observational
  16. Review
  17. Article
  18. Article
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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.

Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-5763-5184
Hang WangCenter on Aging and Health, Johns Hopkins University, Baltimore, Maryland.
Yang AnIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Qu TianIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania.
Jacek K UrbanekDivision of Geriatric Medicine, Johns Hopkins University and Medical Institutions, Baltimore, Maryland.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Adam P SpiraCenter on Aging and Health, Johns Hopkins University, Baltimore, Maryland.
Luigi FerrucciIntramural Research Program, National Institute on Aging, Baltimore, Maryland.ORCID 0000-0002-6273-1613
Susan M ResnickIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0001-9244-9267

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI Joseph John Gallo, ROLAND J. THORPE · 2018 to 2026
$7.1M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NIA NIH HHS P30 AG021334NIA NIH HHS P30 AG059298NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG061786NIA NIH HHS R01AG061786NIA NIH HHS U01 AG057545NIH HHS S10 OD023495
6 · The paper itself

Abstract

backgroundLarger brain volumes are often associated with more free-living physical activity (PA) in cognitively normal older adults. Yet, whether greater brain volumes are associated with more favorable (less fragmented) PA patterns, and whether this association is stronger than with total PA, remains unknown.

methodsBrain magnetic resonance imaging and wrist-worn accelerometer data were collected in 301 participants (mean age = 77 [SD = 7] years, 59% women) enrolled in the Baltimore Longitudinal Study of Aging. Linear regression models were fit to examine whether brain volumes (cc) were cross-sectionally associated with: (a) total daily PA minutes and (b) activity fragmentation (mean number of PA bouts / total PA minutes × 100). Sensitivity analyses were conducted by adjusting for counterpart PA variables (eg, fragmentation covariate included in the PA minutes model).

resultsGreater white matter volumes in the parietal and temporal lobes were associated with higher daily PA minutes (2.6 [SE = 1.0] and 3.8 [0.9] min/day, respectively; p < .009 for both) after adjusting for demographics, behavioral factors, medical conditions, gait speed, apolipoprotein E e4 status, and intracranial volume. Greater temporal white matter volume was associated with lower fragmentation (-0.16% [0.05], p = .003). In sensitivity analyses, observed associations between brain volumes and daily PA minutes remained significant while associations with fragmentation no longer remained significant.

conclusionsOur results suggest white matter brain structure in cognitively normal older adults is associated with the total amount of PA and, to a lesser extent, the PA accumulation patterns. More work is needed to elucidate the longitudinal relationship between brain structure and function and PA patterns with aging.

Indexed as

AgingExerciseParietal LobeTemporal LobeWhite MatterAgedCognitionCorrelation of DataFemaleHumansIndependent LivingMagnetic Resonance ImagingMaleOrgan SizeAgingBrain structureFragmentationTotal activityWhite matter

Identifiers

PMID33230557
PMCPMC8495900

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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.