Evidence map›Paper›PMID 24792638›Full record

Trial reportGait & posture2014

Higher step length variability indicates lower gray matter integrity of selected regions in older adults.

Andrea L Rosso, Megan J Olson Hunt, Mei Yang, Jennifer S Brach, Tamara B Harris, Anne B Newman, Suzanne Satterfield, Stephanie A Studenski, Kristine Yaffe, Howard J Aizenstein and 2 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Gait & posture, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
6.4field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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  4. Poor Gait Performance and Prediction of Dementia: Results From a Meta-Analysis.Journal of the American Medical Directors Association · 2016
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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 at 4 institutions in 1 country.

Andrea L RossoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA. Electronic address: alr143@pitt.edu.
Megan J Olson HuntDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Mei YangDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Jennifer S BrachDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, USA.
Tamara B HarrisLaboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, USA.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Suzanne SatterfieldDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, USA.
Stephanie A StudenskiDivision of Geriatric Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, USA.
Kristine YaffeDepartment of Psychiatry, University of California, San Francisco, USA.
Howard J AizensteinDepartment of Psychiatry, University of Pittsburgh, USA.
Caterina RosanoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Health ABC study
University of Pittsburgh · USNational Institute on Aging · USUniversity of California, San Francisco · USUniversity of Tennessee Health Science Center · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
Health, Aging and Body Composition StudyZIAAG007390 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2024
$4.0M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
Resilience to Mobility Impairment: Neural Correlates and Protective FactorsR01AG037451 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ROSANO, CATERINA · 2011 to 2015
$2.9M
Brain anatomical correlates of mobility control in the oldest oldR01AG029232 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2007 to 2011
$2.7M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
Novel Brain Neuroimaging Markers of Age-Related Mobility ImpairmentK23AG028966 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2006 to 2008
$643k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
Intramural NIH HHSNIA NIH HHS K23 AG028966NIA NIH HHS K23-AG-028966NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS P30 AG024827NIA NIH HHS P30-AG-024827-07NIA NIH HHS R01 AG028050NIA NIH HHS R01-AG-028050NIA NIH HHS R01 AG029232NIA NIH HHS R01-AG-029232NIA NIH HHS R01 AG037451NIA NIH HHS T32 AG000181NIA NIH HHS T32-AG-000181NINR NIH HHS R01 NR012459NINR NIH HHS R01-NR-012459
6 · The paper itself

Abstract

Step length variability (SLV) increases with age in those without overt neurologic disease, is higher in neurologic patients, is associated with falls, and predicts dementia. Whether higher SLV in older adults without neurologic disease indicates presence of neurologic abnormalities is unknown. Our objective was to identify whether SLV in older adults without overt disease is associated with findings from multimodal neuroimaging. A well-characterized cohort of 265 adults (79-90 years) was concurrently assessed by gait mat, magnetic resonance imaging with diffusion tensor, and neurological exam. Linear regression models adjusted for gait speed, demographic, health, and functional covariates assessed associations of MRI measures (gray matter volume, white matter hyperintensity volume, mean diffusivity, fractional anisotropy) with SLV. Regional distribution of associations was assessed by sparse partial least squares analyses. Higher SLV (mean: 8.4, SD: 3.3) was significantly associated with older age, slower gait speed, and poorer executive function and also with lower gray matter integrity measured by mean diffusivity (standardized beta=0.16; p=0.02). Associations between SLV and gray matter integrity were strongest for the hippocampus and anterior cingulate gyrus (both β=0.18) as compared to other regions. Associations of SLV with other neuroimaging markers were not significant. Lower integrity of normal-appearing gray matter may underlie higher SLV in older adults. Our results highlighted the hippocampus and anterior cingulate gyrus, regions involved in memory and executive function. These findings support previous research indicating a role for cognitive function in motor control. Higher SLV may indicate focal neuropathology in those without diagnosed neurologic disease.

Indexed as

AgedAged, 80 and overAgingAnisotropyDiffusion Tensor ImagingExecutive FunctionFemaleGaitGray MatterGyrus CinguliHippocampusHumansLinear ModelsMaleWhite MatterAgingBrainDiffusion tensor imagingGait disorders

Identifiers

PMID24792638
PMCPMC4071448
OpenAlexW2071837735

What OpenQuestion holds

Textmetadata
LicenceTDM
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.