Evidence map›Paper›PMID 28130713›Full record

ArticleAging clinical and experimental research2017

Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm.

Alexandra König, Laura Klaming, Marten Pijl, Alexandre Demeurraux, Renaud David, Philippe Robert

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Article in Aging clinical and experimental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

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  20. Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alexandra KönigCoBTeK Research Unit, University of Nice, Sophia Antipolis, France. a.konig@maastrichtuniversity.nl.
Laura KlamingPhilips Research, Eindhoven, The Netherlands.
Marten PijlPhilips Research, Eindhoven, The Netherlands.
Alexandre DemeurrauxCentre Mémoire de Ressources et de Recherche, CHU de Nice, Nice, France.
Renaud DavidCentre Mémoire de Ressources et de Recherche, CHU de Nice, Nice, France.
Philippe RobertCoBTeK Research Unit, University of Nice, Sophia Antipolis, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study explores the differences in gait parameters in elderly subjects with or without cognitive impairment measured by means of ambulatory actigraphy while performing a single and a dual task.

methodsSixty-nine participants of which 23 individuals were diagnosed with Alzheimer's disease (AD), 24 individuals with mild cognitive impairment (MCI), and 22 healthy controls performed a single and dual walking task while wearing a wrist-worn accelerometer. Objective measures of gait features such as walking speed, cadence (i.e., number of steps per minute), and step variance (i.e., variance in time between two consecutive steps) were derived and analyzed.

resultsWhile differences in several gait parameters, namely walking speed, were found between MCI and AD patients, no differences between healthy elderly and MCI patients were found.

conclusionWalking speed seems to be a gait-related feature that differs significantly between MCI and AD patients and thus could be used as an additional measurement in clinical assessment. However, differences in gait may not be salient enough in the early stages of dementia to be detected by actigraphy. More research comparing different methods to measure gait in early stages of dementia under different dual task conditions is neccessary.

Indexed as

AccelerometryAgedAged, 80 and overAlzheimer DiseaseCase-Control StudiesCognitive DysfunctionDisease ProgressionFemaleHealth StatusHumansMaleMental Status and Dementia TestsWalking SpeedAccelerometerActigraphyAlzheimerAttentionDementiaDual-taskGaitMild cognitive impairmentMotor function

Identifiers

PMID28130713
PMCPMC5674109

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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.