Evidence map›Paper›PMID 27551818›Full record

ArticleHuman movement science2016

Investigation of factors impacting mobility and gait in Parkinson disease.

Gustavo Christofoletti, Marie E McNeely, Meghan C Campbell, Ryan P Duncan, Gammon M Earhart

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human movement science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Association between Backward Walking and Cognition in Parkinson Disease: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
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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

5 authors.

Gustavo ChristofolettiFederal University of Mato Grosso do Sul, Program in Health and Development, Campo Grande, MS 79060-900, Brazil; Washington University School of Medicine in Saint Louis, Program in Physical Therapy, St. Louis, MO 63108, USA.
Marie E McNeelyWashington University School of Medicine in Saint Louis, Program in Physical Therapy, St. Louis, MO 63108, USA; Washington University School of Medicine in Saint Louis, Department of Neurology, St. Louis, MO 63110, USA.
Meghan C CampbellWashington University School of Medicine in Saint Louis, Department of Neurology, St. Louis, MO 63110, USA; Washington University School of Medicine in Saint Louis, Department of Radiology, St. Louis, MO 63110, USA.
Ryan P DuncanWashington University School of Medicine in Saint Louis, Program in Physical Therapy, St. Louis, MO 63108, USA; Washington University School of Medicine in Saint Louis, Department of Neurology, St. Louis, MO 63110, USA.
Gammon M EarhartWashington University School of Medicine in Saint Louis, Program in Physical Therapy, St. Louis, MO 63108, USA; Washington University School of Medicine in Saint Louis, Department of Neurology, St. Louis, MO 63110, USA; Washington University School of Medicine in Saint Louis, Department of Neuroscience, St. Louis, MO 63110, USA. Electronic address: earhartg@wustl.edu.

Funding

EXERCISE AND PARKINSON'S: COMPARING INTERVENTIONS AND EXPLORING NEURAL MECHANISMSR01NS077959 · NINDS · WASHINGTON UNIVERSITY · PI EARHART, GAMMON M. · 2012 to 2016
$1.9M
NINDS NIH HHS R01 NS077959
6 · The paper itself

Abstract

Mobility and gait limitations are major issues for people with Parkinson disease (PD). Identification of factors that contribute to these impairments may inform treatment and intervention strategies. In this study we investigated factors that predict mobility and gait impairment in PD. Participants with mild to moderate PD and without dementia (n=114) were tested in one session 'off' medication. Mobility measures included the 6-Minute Walk test and Timed-Up-and-Go. Gait velocity was collected in four conditions: forward preferred speed, forward dual task, forward fast as possible and backward walking. The predictors analyzed were age, gender, disease severity, balance, balance confidence, fall history, self-reported physical activity, and executive function. Multiple regression models were used to assess the relationships between predictors and outcomes. The predictors, in different combinations for each outcome measure, explained 55.7% to 66.9% of variability for mobility and 39.5% to 52.8% for gait velocity. Balance was the most relevant factor (explaining up to 54.1% of variance in mobility and up to 45.6% in gait velocity). Balance confidence contributed to a lesser extent (2.0% to 8.2% of variance) in all models. Age explained a small percentage of variance in mobility and gait velocity (up to 2.9%). Executive function explained 3.0% of variance during forward walking only. The strong predictive relationships between balance deficits and mobility and gait impairment suggest targeting balance deficits may be particularly important for improving mobility and gait in people with PD, regardless of an individual's age, disease severity, fall history, or other demographic features.

Indexed as

Accidental FallsAgedAge FactorsDisability EvaluationExecutive FunctionFemaleGaitHumansMaleMiddle AgedMobility LimitationParkinson DiseasePostural BalanceWalkingBalanceDisease severityExecutive functionGaitMobilityParkinson disease

Identifiers

PMID27551818
PMCPMC5026625

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.