Evidence map›Paper›PMID 36015914›Full record

ArticleSensors (Basel, Switzerland)2022

How Does Added Mass Affect the Gait of Middle-Aged Adults? An Assessment Using Statistical Parametric Mapping.

Vinayak Vijayan, Shanpu Fang, Timothy Reissman, Megan E Reissman, Allison L Kinney

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Vinayak VijayanDepartment of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH 45410, USA.ORCID 0000-0002-4657-6318
Shanpu FangDepartment of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH 45410, USA.
Timothy ReissmanDepartment of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH 45410, USA.
Megan E ReissmanDepartment of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH 45410, USA.
Allison L KinneyDepartment of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH 45410, USA.ORCID 0000-0003-3553-0733
University of Dayton · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve exoskeleton designs, it is crucial to understand the effects of the placement of such added mass on a broad spectrum of users. Most prior studies on the effects of added mass on gait have analyzed young adults using discrete point analysis. This study quantifies the changes in gait characteristics of young and middle-aged adults in response to added mass across the whole gait cycle using statistical parametric mapping. Fourteen middle-aged and fourteen younger adults walked during 60 s treadmill trials under nine different loading conditions. The conditions represented full-factorial combinations of low (+3.6 lb), medium (+5.4 lb), and high (+10.8 lb) mass amounts at the thighs and pelvis. Joint kinematics, kinetics and muscle activations were evaluated. The young and middle-aged adults had different responses to added mass. Under pelvis loading, middle-aged adults did not adopt the same kinematic responses as younger adults. With thigh loading, middle-aged adults generally increased knee joint muscle activity around heel strike, which could have a negative impact on joint loading. Overall, as age may impact the user's response to an exoskeleton, designers should aim to include sensors to directly monitor user response and adaptive control approaches that account for these differences.

Indexed as

Exoskeleton DeviceGaitBiomechanical PhenomenaHumansKnee JointMiddle AgedWalkingYoung Adultadded massbiomechanicsEMGexoskeletonskinematicskineticsmiddle-agedmuscle activitystatistical parametric mappingwalking

Identifiers

PMID36015914
PMCPMC9415729
OpenAlexW4293780294

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.