Evidence map›Paper›PMID 35440799›Full record

ArticleScientific reports2022

Longitudinal associations between energy utilization and brain volumes in cognitively normal middle aged and older adults.

Yujia Qiao, Amal A Wanigatunga, Yang An, Fangyu Liu, Adam P Spira, Christos Davatzikos, Qu Tian, Eleanor M Simonsick, Luigi Ferrucci, Susan M Resnick and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Pulmonary V̇OExperimental gerontology · 2025
    Article
  3. Article
  4. 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

11 authors at 3 institutions in 1 country.

Yujia QiaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. susannaqiao@pitt.edu.
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yang AnIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Fangyu LiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Adam P SpiraCenter on Aging and Health, Johns Hopkins University, Baltimore, MD, USA.
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Qu TianIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Luigi FerrucciIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Susan M ResnickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USNational Institute on Aging · USUniversity of Pennsylvania · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 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
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 AG066507NIA NIH HHS U01 AG057545NIA NIH HHS U01AG057545NIH HHS S10 OD023495
6 · The paper itself

Abstract

Peak energy capacity of the whole person is associated with neurodegeneration. However, change in ability to utilize energy manifests as combination of declining peak energy capacity and rising energetic costs of mobility in mid-to-late life. We examined longitudinal associations between change in energy utilization and brain volumes. Cognitively normal participants from the Baltimore Longitudinal Study of Aging (N = 703, age = 70.4 ± 12.1 years, 54.1% women, 30% black) had concurrent data on brain volumes and energy utilization (defined as ratio of energetic cost of walking to peak energy capacity ("cost-to-capacity ratio") at ≥ 1 visit between 2008 and 2018. We performed linear mixed-effect models, adjusting for demographics, medical history and walking engagement. Average baseline cost-to-capacity ratio was 0.55 ± 0.16, with average annual increase of 0.04 ± 0.13 over 3.9 follow-up years. A 10% higher baseline cost-to-capacity ratio was associated with 2.00 cm

Indexed as

Neurodegenerative DiseasesWalkingAgedAged, 80 and overAgingAtrophyBrainFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID35440799
PMCPMC9018828
OpenAlexW4224267968

What OpenQuestion holds

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LicenceCC BY
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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.