Influencing Lumbar Posture Through Real-Time Biofeedback and Its Effects on the Kinematics and Kinetics of a Repetitive Lifting Task

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aut.relation.endpage100
aut.relation.journalGait and Postureen_NZ
aut.relation.startpage93
aut.relation.volume73en_NZ
aut.researcherDrabsch, Julie
dc.contributor.authorBoocock, Men_NZ
dc.contributor.authorNaude, Yen_NZ
dc.contributor.authorTaylor, Sen_NZ
dc.contributor.authorKilby, Jen_NZ
dc.contributor.authorMawston, Gen_NZ
dc.date.accessioned2021-11-23T21:31:39Z
dc.date.available2021-11-23T21:31:39Z
dc.date.copyright2019en_NZ
dc.date.issued2019en_NZ
dc.description.abstractBACKGROUND: Repetitive, flexed lumbar postures are a risk factor associated with low back injuries. Young, novice workers involved in manual handling also appear at increased risk of injury. The evidence for the effectiveness of postural biofeedback as an intervention approach is lacking, particularly for repetitive, fatiguing tasks. RESEARCH QUESTION: How does real-time lumbosacral (LS) postural biofeedback modify the kinematics and kinetics of repetitive lifting and the risk of low back injury? METHODS: Thirty-four participants were randomly allocated to two groups: biofeedback (BF) and non-biofeedback (NBF). Participants repetitively lifted a 13 kg box at 10 lifts per minute for up to 20 min. Real-time biofeedback of LS posture occurred when flexion exceeded 80% maximum. Three-dimensional motion analysis and ground reaction forces enabled estimates of joint kinematics and kinetics. Rating of perceived exertion (RPE) was measured throughout. RESULTS: The BF group adopted significantly less peak lumbosacral flexion (LSF) over the 20 min when compared to the NBF group, which resulted in a significant reduction in LS passive resistance forces. This was accompanied by increased peak hip and knee joint angular velocities in the BF group. Lower limb moments did not significantly differ between groups. Feedback provided to participants diminished beyond 10 min and subjective perceptions of physical exertion were lower in the BF group. SIGNIFICANCE: Biofeedback of lumbosacral posture enabled participants to make changes in LSF that appear beneficial in reducing the risk of low back injury during repetitive lifting. Accompanying behavioural adaptations did not negatively impact on physical exertion or lower limb joint moments. Biofeedback of LS posture offers a potential preventative and treatment adjunct to educate handlers about their lifting posture. This could be particularly important for young, inexperienced workers employed in repetitive manual handling who appear at increased risk of back injury.en_NZ
dc.identifier.citationGait & Posture. Volume 73, September 2019, pp. 93-100.
dc.identifier.doi10.1016/j.gaitpost.2019.07.127en_NZ
dc.identifier.issn0966-6362en_NZ
dc.identifier.issn1879-2219en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14713
dc.languageengen_NZ
dc.publisherElsevieren_NZ
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0966636218302698
dc.rights© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectBiofeedbacken_NZ
dc.subjectBiomechanics/spineen_NZ
dc.subjectLow back/lumbar spineen_NZ
dc.subjectManual handlingen_NZ
dc.subjectRepetitive liftingen_NZ
dc.titleInfluencing Lumbar Posture Through Real-Time Biofeedback and Its Effects on the Kinematics and Kinetics of a Repetitive Lifting Tasken_NZ
dc.typeJournal Article
pubs.elements-id362130
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Business, Economics and Law
pubs.organisational-data/AUT/Faculty of Business, Economics and Law/Business School
pubs.organisational-data/AUT/Faculty of Business, Economics and Law/Business School/Centre for Occupational Health & Safety Research
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/BioDesign Lab
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Robotics & Vision
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Sensor Network & Smart Environment
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Signals & Systems
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/Department of Biostatistics & Epidemiology
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences/Physiotherapy Department
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HH Clinical Sciences 2018 PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HY Public Health & Psychosocial Studies 2018 PBRF
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