Workers' assessments of manual lifting tasks: cognitive strategies and validation with respect to objective indices and musculoskeletal symptoms

Yeung, Simon S.; Genaidy, Ash; Deddens, James A.; Leung, Ping Chung

doi:10.1007/s00420-003-0448-3

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…Loading metrics remained the most significant factors in explaining variance in the effort levels for all models. This agrees with an earlier study (Yeung et al 2003). They found that the weight in the hand was the most important factor in determining perceived effort for lifting tasks.…”

Section: Influence Of Subject and Task Parameters On Effort Perceptionsupporting

confidence: 90%

“…In addition to ensuring comfort, the reliable estimation and reporting of effort perception may be useful in evaluating potential links between physical exposures and risk of musculoskeletal outcomes. Yeung et al (2003) suggested that odds and risk ratios for these outcomes in the shoulder are more closely related to perceived effort than work dissatisfaction, for instance.…”

Section: Introductionmentioning

confidence: 97%

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Predictors of perceived effort in the shoulder during load transfer tasks

2007

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The mechanism of muscular effort perception in the shoulder was examined in this experiment. Two shoulder biomechanical models and experimental muscle activity data were used to assess physical exposure for a series of reaching tasks. Effort perception was quantitatively correlated to these measures of physical loading, both at the resultant torque (r(2) = 0.50) and muscle activity model-based muscle force predictions (MFPs): r(2) = 0.42, electromyography (EMG): r(2) = 0.26) levels. Muscle data did not explain variation in effort perception more fully than torque data. The inclusion of subject and task variables improved the ability of each model to explain variability in effort perception (torque: r(2) = 0.74; MFP: r(2) = 0.67, EMG: r(2) = 0.64). These results suggest that effort perception may not be fully explained by only an image of the motor command, but is rather a complex integrative quantity that is affected by other factors, such as posture and task goals, which may be dependent on sensory feedback.

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Section: Influence Of Subject and Task Parameters On Effort Perceptionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 97%

Predictors of perceived effort in the shoulder during load transfer tasks

2007

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“…This was true for men and women separately and for all subjects as a group [31]. There was, however, a difference between the results for men and women in the correlations of the activity of individual muscles with the Borg score.…”

Section: Correlation Between Normalized Rms and Borg Ratingsmentioning

confidence: 60%

Relation between Perceived Effort and the Electromyographic Signal in Localized Effort Activities of Forearm Muscles

Korol¹,

Karniel²,

Melzer³

et al. 2017

J Ergonomics

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“…The main finding of the above study was that the multiplicative structure of the RNLE is better than an additive model, but the weighting of the RNLE multipliers needs further investigation (Yeung et al, 2006). In another study, a self-reporting worker-based risk assessment was evaluated against the task variables of the RNLE (Yeung, Genaidy, Deddens, & Leung, 2003). Results of that study demonstrated that the subjective self-reporting risk assessment method appeared to be a promising approach (Yeung et al, 2003).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation

Lu¹,

Putz-Anderson²,

Garg

et al. 2016

Hum Factors

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Objective To evaluate the impact of the revised National Institute for Occupational Safety and Health lifting equation (RNLE). Background The RNLE has been used extensively as a risk assessment method for prevention of low back pain (LBP). However, the impact of the RNLE has not been documented. Methods A systematic review of the literature on the RNLE was conducted. The review consisted of three parts: characterization of the RNLE publications; assessment of the impact of the RNLE; and evaluation of the influences of the RNLE on ergonomic standards. The literature for assessing the impact was categorized into four research areas: methodology, laboratory, field and risk assessment studies using the Lifting Index (LI) or Composite LI (CLI), both of which are the products of the RNLE. Results The impact of the RNLE has been both widespread and influential. We found 24 studies that examined the criteria used to define lifting capacity used by the RNLE, 28 studies that compared risk assessment methods for identifying LBP, 23 studies that found the RNLE useful in identifying the risk of LBP with different work populations, and 13 studies on the relationship between LI/CLI and LBP outcomes. We also found evidence on the adoption of the RNLE as an ergonomic standard for use by various local, state, and international entities. Conclusion The review found 13 studies that link LI/CLI to adverse LBP outcomes. These studies showed a positive relationship between LI/CLI metrics and the severity of LBP outcomes.

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Workers' assessments of manual lifting tasks: cognitive strategies and validation with respect to objective indices and musculoskeletal symptoms

Cited by 14 publications

References 22 publications

Predictors of perceived effort in the shoulder during load transfer tasks

Predictors of perceived effort in the shoulder during load transfer tasks

Relation between Perceived Effort and the Electromyographic Signal in Localized Effort Activities of Forearm Muscles

Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation

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