Journal article
Endurance time is joint-specific: A modelling and meta-analysis investigation
Ergonomics, Vol.53(1), pp.109-129
01/01/2010
DOI: 10.1080/00140130903389068
PMCID: PMC2891087
PMID: 20069487
Abstract
Static task intensity-endurance time (ET) relationships (e.g. Rohmert's curve) were first reported decades ago. However, a comprehensive meta-analysis to compare experimentally-observed ETs across bodily regions has not been reported. We performed a systematic literature review of ETs for static contractions, developed joint-specific power and exponential models of the intensity-ET relationships, and compared these models between each joint (ankle, trunk, hand/grip, elbow, knee, and shoulder) and the pooled data (generalised curve). 194 publications were found, representing a total of 369 data points. The power model provided the best fit to the experimental data. Significant intensity-dependent ET differences were predicted between each pair of joints. Overall, the ankle was most fatigue-resistant, followed by the trunk, hand/grip, elbow, knee and finally the shoulder was most fatigable. We conclude ET varies systematically between joints, in some cases with large effect sizes. Thus, a single generalised ET model does not adequately represent fatigue across joints.
Statement of Relevance: Rohmert curves have been used in ergonomic analyses of fatigue, as there are limited tools available to accurately predict force decrements. This study provides updated endurance time-intensity curves using a large meta-analysis of fatigue data. Specific models derived for five distinct joint regions should further increase prediction accuracy.
Details
- Title: Subtitle
- Endurance time is joint-specific: A modelling and meta-analysis investigation
- Creators
- Laura A Frey Law - Graduate Program in Physical Therapy and Rehabilitation Science, University of IowaKeith G Avin - Graduate Program in Physical Therapy and Rehabilitation Science, University of Iowa
- Resource Type
- Journal article
- Publication Details
- Ergonomics, Vol.53(1), pp.109-129
- DOI
- 10.1080/00140130903389068
- PMID
- 20069487
- PMCID
- PMC2891087
- NLM abbreviation
- Ergonomics
- ISSN
- 0014-0139
- eISSN
- 1366-5847
- Publisher
- Taylor & Francis
- Language
- English
- Date published
- 01/01/2010
- Academic Unit
- Nursing; Physical Therapy and Rehabilitation Science
- Record Identifier
- 9984046821002771
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