Evidence map›Paper›PMID 36463714›Full record

ArticleGait & posture2023

Age-related changes in gait domains: Results from the LonGenity study.

Oshadi Jayakody, Monique Breslin, Emmeline Ayers, Joe Verghese, Nir Barzilai, Erica Weiss, Sofiya Milman, Helena M Blumen

Abstract read
In one paragraph

Article in Gait & posture, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

8 authors.

Oshadi JayakodyDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
Monique BreslinMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Emmeline AyersDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Joe VergheseDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Nir BarzilaiDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Erica WeissDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Sofiya MilmanDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Helena M BlumenDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA. Electronic address: helena.blumen@einsteinmed.edu.

Funding

Einstein's Nathan Shock Center of Excellence in Basic Biology of AgingP30AG038072 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VIJG, JAN · 2010 to 2024
$10.8M
The biological underpinnings of Motoric Cognitive Risk syndrome: a multi-center studyR01AG057548 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI VERGHESE, JOE · 2020 to 2024
$8.0M
Resilience to Alzheimer's disease in humans with exceptional longevityR01AG057909 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BARZILAI, NIR J, ZHANG, ZHENGDONG · 2017 to 2021
$6.2M
Somatotropic Signaling and Resilience to Aging and Alzheimer's DiseaseR01AG061155 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI MILMAN, SOFIYA · 2019 to 2023
$4.3M
Trajectories and modifiable risk factors of brain, gait, and cognitive decline in aging and pre-dementiaR01AG062659 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BLUMEN, HELENA M, MILMAN, SOFIYA · 2020 to 2024
$3.8M
Multi-omics approach to frailty resilienceR56AG044829 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI MILMAN, SOFIYA, VERGHESE, JOE · 2021 to 2021
$846k
NIA NIH HHS P30 AG038072NIA NIH HHS R01 AG057548NIA NIH HHS R01 AG057909NIA NIH HHS R01 AG061155NIA NIH HHS R01 AG062659NIA NIH HHS R56 AG044829
6 · The paper itself

Abstract

backgroundImpairment in gait domains such as pace, rhythm, and variability are associated with falls, cognitive decline, and dementia. However, the longitudinal changes in these gait domains are poorly understood. The aim of this study was to examine age-related changes in gait domains overall and in those with cognitive impairment and mobility disability.

methodsParticipants were from the LonGenity study (n = 797; M Age=75.1 SD 6.5 years; 58.2% female) and were followed up to 12 years (Median=3.3; IQR: 1.1; 6.3). Gait speed and absolute values of step length, step time, cadence and, variability (standard deviation) of step length and step time during usual pace walking were assessed. Principal components analysis was used to obtain weighted combinations of three gait domains: pace (velocity, step length), variability (step length variability, step time variability) and rhythm (step time). Linear mixed effect models were used to examine age-related changes in gait domains overall, and in those with cognitive impairment and mobility disability at baseline.

resultsPace declined, and rhythm increased (worsened) in an accelerating non-linear fashion. Variability gradually increased with age. Those with cognitive impairment had faster rates of change in pace and rhythm. Those with mobility disability had faster increases in rhythm.

conclusionsAge-related changes in gait domains are not uniform. Individuals with cognitive and mobility impairments are particularly vulnerable to accelerated change in pace and or rhythm.

Indexed as

Cognitive DysfunctionPersons with DisabilitiesAgedFemaleGaitHumansLinear ModelsMaleWalking SpeedCognitive impairmentsMobility disabilityPaceRhythmVariability

Identifiers

PMID36463714
PMCPMC9974801

What OpenQuestion holds

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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.