Evidence map›Paper›PMID 34740072›Full record

ArticleApplied ergonomics2022

An ergonomic assessment tool for evaluating the effect of back exoskeletons on injury risk.

Karl E Zelik, Cameron A Nurse, Mark C Schall, Richard F Sesek, Matthew C Marino, Sean Gallagher

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Applied ergonomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05802914 (Efficacy of Soft Active Back Exosuit to Reduce the Risk of Occupational Low Back Pain and Injuries), which is not on this map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
9.9field-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.

NCT05802914 nacompletednot on this mapstarted 2023, after this paper: background citation

Efficacy of Soft Active Back Exosuit to Reduce the Risk of Occupational Low Back Pain and Injuries

TypeinterventionalSponsorWyss Institute at Harvard UniversityRan2023 to 2025Enrolled97ConditionsLow Back Pain, Musculoskeletal Pain, Low Back InjuryArmsBack Exosuit
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
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  11. Methodology for the knowledge-based selection of occupational exoskeletons.Production engineering : research and development · 2025
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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

6 authors at 2 institutions in 1 country.

Karl E ZelikDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, TN, USA; HeroWear, LLC, Nashville, TN, USA. Electronic address: karl.zelik@vanderbilt.edu.
Cameron A NurseDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.
Mark C SchallDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA.
Richard F SesekDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA.
Matthew C MarinoHeroWear, LLC, Nashville, TN, USA.
Sean GallagherDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA.
Auburn University · USVanderbilt University · US

Funding

Deep South Occupational Safety & Health Education & Research Center-SupplementT42OH008436 · OH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LUNGU, CLAUDIU T · 2005 to 2025
$28.8M
CPS: Cyber-physically assistive clothing to reduce societal incident of low back pain R01EB028105 · NIBIB · VANDERBILT UNIVERSITY · PI ZELIK, KARL E · 2018 to 2020
$933k
ACL HHS T42OH008436NIBIB NIH HHS R01 EB028105NIOSH CDC HHS T42 OH008436
6 · The paper itself

Abstract

Low back disorders (LBDs) are a leading injury in the workplace. Back exoskeletons (exos) are wearable assist devices that complement traditional ergonomic controls and reduce LBD risks by alleviating musculoskeletal overexertion. However, there are currently no ergonomic assessment tools to evaluate risk for workers wearing back exos. Exo-LiFFT, an extension of the Lifting Fatigue Failure Tool, is introduced as a means to unify the etiology of LBDs with the biomechanical function of exos. We present multiple examples demonstrating how Exo-LiFFT can assess or predict the effect of exos on LBD risk without costly, time-consuming electromyography studies. For instance, using simulated and real-world material handling data we show an exo providing a 30 Nm lumbar moment is projected to reduce cumulative back damage by ∼70% and LBD risk by ∼20%. Exo-LiFFT provides a practical, efficient ergonomic assessment tool to assist safety professionals exploring back exos as part of a comprehensive occupational health program.

Indexed as

Exoskeleton DeviceOccupational DiseasesBiomechanical PhenomenaElectromyographyErgonomicsHumansLiftingErgonomic assessmentExoskeletonExosuitLow back disorders

Identifiers

PMID34740072
PMCPMC9827614
OpenAlexW3210764691

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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.