Evidence map›Paper›PMID 30606194›Full record

ReviewJournal of neuroengineering and rehabilitation2019

Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons.

Martin Grimmer, Robert Riener, Conor James Walsh, André Seyfarth

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 90 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 6 pooled it
48.1field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 6 syntheses or guidelines pooled it, 234 citations in OpenAlex.

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  18. Epidemiology of Musculoskeletal Injuries Among Climbers-A Systematic Review.Journal of functional morphology and kinesiology · 2025
    Review
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Martin GrimmerLauflabor Locomotion Lab, Technische Universität Darmstadt, Magdalenenstr. 27, Darmstadt, 64289, Germany. grimmer@sport.tu-darmstadt.de.ORCID http://orcid.org/0000-0003-1921-1433
Robert RienerSensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), Department of Health Sciences and Technology, ETH Zurich, Tannenstr. 1, Zurich, 8092, Switzerland.
Conor James WalshHarvard Biodesign Lab, John A. Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, 60 Oxford Street, Cambridge, 02138, MA, United States.
André SeyfarthLauflabor Locomotion Lab, Technische Universität Darmstadt, Magdalenenstr. 27, Darmstadt, 64289, Germany.
Technische Universität Darmstadt · DEETH Zurich · CHHarvard University · US

Funding

Deutsche Forschungsgemeinschaft GR 4689/2-1H2020 European Research Council 601003Robert Bosch Stiftung 32.5.G412.0003.0
6 · The paper itself

Abstract

backgroundPhysical and functional losses due to aging and diseases decrease human mobility, independence, and quality of life. This study is aimed at summarizing and quantifying these losses in order to motivate solutions to overcome them with a special focus on the possibilities by using lower limb exoskeletons.

methodsA narrative literature review was performed to determine a broad range of mobility-related physical and functional measures that are affected by aging and selected cardiovascular, respiratory, musculoskeletal, and neurological diseases.

resultsThe study identified that decreases in limb maximum muscle force and power (33% and 49%, respectively, 25-75 yrs) and in maximum oxygen consumption (40%, 20-80 yrs) occur for older adults compared to young adults. Reaction times more than double (18-90 yrs) and losses in the visual, vestibular, and somatosensory systems were reported. Additionally, we found decreases in steps per day (75%, 60-85 yrs), maximum walking speed (24% 25-75 yrs), and maximum six-minute and self-selected walking speed (38% and 21%, respectively, 20-85 yrs), while we found increases in the number of falls relative to the number of steps per day (800%), injuries due to falls (472%, 30-90 yrs) and deaths caused by fall (4000%, 65-90 yrs). Measures were identified to be worse for individuals with impaired mobility. Additional detrimental effects identified for them were the loss of upright standing and locomotion, freezing in movement, joint stress, pain, and changes in gait patterns. DISCUSSION: This review shows that aging and chronic conditions result in wide-ranging losses in physical and sensory capabilities. While the impact of these losses are relatively modest for level walking, they become limiting during more demanding tasks such as walking on inclined ground, climbing stairs, or walking over longer periods, and especially when coupled with a debilitating disease. As the physical and functional parameters are closely related, we believe that lost functional capabilities can be indirectly improved by training of the physical capabilities. However, assistive devices can supplement the lost functional capabilities directly by compensating for losses with propulsion, weight support, and balance support.

conclusionsExoskeletons are a new generation of assistive devices that have the potential to provide both, training capabilities and functional compensation, to enhance human mobility.

Indexed as

Exoskeleton DeviceMotor ActivityQuality of LifeAdultAgedAged, 80 and overAgingCardiovascular DiseasesFemaleHumansLower ExtremityLung DiseasesMaleMiddle AgedNeuromuscular DiseasesYoung AdultAgingAssistanceExoskeletonImpairedMobilityMotivationWalking

Identifiers

PMID30606194
PMCPMC6318939
OpenAlexW2945684207

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.