Evidence map›Paper›PMID 36571773›Full record

ArticleAge and ageing2022

Association between walking energy utilisation and longitudinal cognitive performance in older adults.

Pei-Lun Kuo, Yang An, Alden L Gross, Qu Tian, Vadim Zipunnikov, Adam P Spira, Amal A Wanigatunga, Eleanor M Simonsick, Luigi Ferrucci, Susan M Resnick and 1 more

Abstract read
In one paragraph

Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Pei-Lun KuoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yang AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Qu TianTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Adam P SpiraJohns Hopkins Center on Aging and Health, Baltimore, MD, USA.
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Eleanor M SimonsickTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

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
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
Intersection of Physiologic Frailty and Cognitive Performance in Older Adults: An Integrative Data AnalysisK01AG050699 · NIA · JOHNS HOPKINS UNIVERSITY · PI GROSS, ALDEN L. · 2016 to 2020
$648k
NIA NIH HHS K01 AG050699NIA NIH HHS P30 AG059298NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG061786NIA NIH HHS U01 AG057545NIH HHS P30AG021334
6 · The paper itself

Abstract

backgroundHuman motor function is optimised for energetic efficiency, however, age-related neurodegenerative changes affects neuromotor control of walking. Energy utilisation has been associated with motor performance, but its association with cognitive performance is unknown.

methodsThe study population included 979 Baltimore Longitudinal Study of Aging participants aged $\ge$50 years (52% female, mean age: 70$\pm$10.2 years) with a median follow-up time of 4.7 years. Energy utilisation for walking was operationalised as a ratio of the energy cost of slow walking to peak walking energy expenditure during standardised tasks ('cost-ratio'). Cognitive functioning was measured using the Trail Making Tests, California Verbal Learning Test, Wechsler Adult Intelligence Scale (WAIS), letter and category fluency and card rotation tests. Linear mixed models adjusted for demographics, education and co-morbidities assessed the association between baseline cost-ratio and cognitive functioning, cross-sectionally and longitudinally. To investigate the relationship among those with less efficient energy utilisation, subgroup analyses were performed.

resultsIn fully adjusted models, a higher cost-ratio was cross-sectionally associated with poorer performance on all cognitive tests except WAIS (P < 0.05 for all). Among those with compromised energy utilisation, the baseline cost-ratio was also associated with a faster decline in memory (long-delay free recall: β = -0.4, 95% confidence interval [CI] = [-0.8, -0.02]; immediate word recall: β = -1.3, 95% CI = [-2.7, 0.1]).

conclusionsThese findings suggest cross-sectional and longitudinal links between energy utilisation and cognitive performance, highlighting an intriguing link between brain function and the energy needed for ambulation. Future research should examine this association earlier in the life course to gauge the potential for interventive mechanisms.

Indexed as

AgingWalkingAgedCognitionCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleNeuropsychological Testscognitionenergy expenditurefitnessphysical performancewalking efficiency

Identifiers

PMID36571773
PMCPMC9792087

What Socratic holds

Textmetadata
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 Socratic graph.