Effect of a posture correction–based intervention on musculoskeletal symptoms and fatigue among control room operators

Bazazan, Ahmad; Dianat, Iman; Feizollahi, Nafiseh; Mombeini, Zohreh; Shirazi, Alireza Mohammad; Castellucci, Ignacio

doi:10.1016/j.apergo.2018.11.008

Cited by 58 publications

(50 citation statements)

References 43 publications

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“…Further, it is possible to make an error comparison of multiple shooting angles and evaluate the occlusion error of the system at different angles. Postures 3,5,6,7,8,10,11, and 12 were found to be in good agreement with the score data. Postures 1, 2, and 9 were slightly worse.…”

Section: Summary Of Expected Resultssupporting

confidence: 69%

“…Sutari et al [ 5 ] found that workers in the ‘Batik cap’ industry experienced musculoskeletal disorders of the legs, arms, and wrists; thus, they adjusted the height of the workbench to achieve a better working posture. Bazazan et al [ 6 ] investigated for 12 months the effects of posture correction-based intervention on musculoskeletal symptoms and fatigue of control room operators, whose shoulders, upper backs, necks, and lower backs are prone to illnesses. The intervention was found to improve muscle dysfunction in workers.…”

Section: Introductionmentioning

confidence: 99%

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An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders

Zhang

Lee

et al. 2020

Sensors

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Determining the potential risks of musculoskeletal disorders through working postures in a workplace is expensive and time-consuming. A novel intelligent rapid entire body assessment (REBA) system based on convolutional pose machines (CPM), entitled the Quick Capture system, was applied to determine the risk levels. The aim of the study was to validate the feasibility and reliability of the CPM-based REBA system through a simulation experiment. The reliability was calculated from the differences of motion angles between the CPM-based REBA and a motion capture system. Results show the data collected by the Quick Capture system were consistent with those of the motion capture system; the average of root mean squared error (RMSE) was 4.77 and the average of Spearman’s rho (ρ) correlation coefficient in the different 12 postures was 0.915. For feasibility evaluation, the linear weighted Cohen’s kappa between the REBA score obtained by the Quick Capture system and those from the three experts were used. The result shows good agreement, with an average proportion agreement index (P0) of 0.952 and kappa of 0.738. The Quick Capture system does not only accurately analyze working posture, but also accurately determines risk level of musculoskeletal disorders. This study suggested that the Quick Capture system could be applied for a rapid and real-time on-site assessment.

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Section: Summary Of Expected Resultssupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders

Zhang

Lee

et al. 2020

Sensors

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“…The current evidence does not provide strong support that interventions targeting the individuals’ work technique by, for example, education training on body mechanics and back care, as well as lifting techniques training, are effective in reducing musculoskeletal disorders [ 58 , 59 , 60 ]. Still, there is a growing number of studies indicating that the use of extrinsic (augmented) direct-feedback by using auditory, visual, or haptic displays [ 41 ] can be effective in reducing biomechanical exposures in manual handling [ 45 , 61 , 62 ], in computer work [ 63 ], or in surveillance operations [ 64 ].…”

Section: Introductionmentioning

confidence: 99%

A Wearable Sensor System for Physical Ergonomics Interventions Using Haptic Feedback

Lind

Diaz-Olivares

Lindecrantz

et al. 2020

Sensors

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Work-related musculoskeletal disorders are a major concern globally affecting societies, companies, and individuals. To address this, a new sensor-based system is presented: the Smart Workwear System, aimed at facilitating preventive measures by supporting risk assessments, work design, and work technique training. The system has a module-based platform that enables flexibility of sensor-type utilization, depending on the specific application. A module of the Smart Workwear System that utilizes haptic feedback for work technique training is further presented and evaluated in simulated mail sorting on sixteen novice participants for its potential to reduce adverse arm movements and postures in repetitive manual handling. Upper-arm postures were recorded, using an inertial measurement unit (IMU), perceived pain/discomfort with the Borg CR10-scale, and user experience with a semi-structured interview. This study shows that the use of haptic feedback for work technique training has the potential to significantly reduce the time in adverse upper-arm postures after short periods of training. The haptic feedback was experienced positive and usable by the participants and was effective in supporting learning of how to improve postures and movements. It is concluded that this type of sensorized system, using haptic feedback training, is promising for the future, especially when organizations are introducing newly employed staff, when teaching ergonomics to employees in physically demanding jobs, and when performing ergonomics interventions.

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“…It can be hypothesized that assistive devices function by reducing the force requirements or increasing the strength capability of the worker, thus reducing the relative workload and ultimately the level of fatigue that develops. One high-quality RCT (Lotz, Agnew, Godwin, & Stevenson, 2009) using multiple measurements, one low-quality RCT (Iwakiri, Kunisue, Sotoyama, & Udo, 2008), one high-quality CCT (Bazazan et al, 2019), and three low-quality CCTs (Miura, Kadone, Koda, Abe, Endo, et al, 2018; Miura, Kadone, Koda, Abe, Kumagai, et al, 2018; Rashedi, Kim, Nussbaum, & Agnew, 2014) that used subjective ratings presented positive effects. One low-quality CCT (Majkowski et al, 1998) that used ILF and mean power frequency as fatigue outcomes showed no effect.…”

Section: Discussionmentioning

confidence: 99%

“…A high-quality CCT conducted by Bazazan et al (2019) examined the effect of a posture correction–based intervention (i.e., an electronic device designed to improve awkward trunk posture) on the occurrence of fatigue among control room operators. A significant positive effect was found on physical fatigue compared with effects observed in the control group based on questionnaire responses over a 12-week period (the intervention was performed twice per day × 30 min).…”

Section: Discussionmentioning

confidence: 99%

Interventions to Mitigate Fatigue Induced by Physical Work: A Systematic Review of Research Quality and Levels of Evidence for Intervention Efficacy

Megahed

Cavuoto

2019

Hum Factors

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Objective:We present a literature review on workplace physical fatigue interventions, focusing on evaluating the methodological quality and strength of evidence.Background:Physical fatigue is a recognized workplace problem, with negative effects on performance and health-related complaints. Although many studies have focused on the mechanisms and consequences of fatigue, few have considered the effectiveness of interventions to mitigate fatigue.Method:A systematic review of the workplace safety literature for controlled trials of physical fatigue interventions was conducted. Data on intervention type, subject characteristics, targeted tasks and body locations, outcome measures, and study design were extracted. The methodological quality for each study was evaluated using the PEDro scale, and the level of evidence was based on quality, amount, and consistency.Results:Forty-five controlled trials were reviewed, examining 18 interventions. We categorized those interventions into individual-focused ( N = 28 studies, nine interventions), workplace-focused ( N = 12 studies, five interventions), and multiple interventions ( N = 5 studies, four interventions). We identified moderate evidence for interventions related to assistive devices and task variation. There was moderate evidence supporting no fatigue attenuation for the garment change category of interventions. The interventions in the remaining categories had limited to minimal evidence of efficacy. The heterogeneity of the included trials precludes the determination of effect size.Conclusion:This review showed a lack of high levels of evidence for the effectiveness of most physical fatigue interventions.Application:Due to a lack of high levels of evidence for any category of reviewed physical fatigue interventions, further high-quality studies are needed to establish the efficacy of others.

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Effect of a posture correction–based intervention on musculoskeletal symptoms and fatigue among control room operators

Cited by 58 publications

References 43 publications

An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders

An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders

A Wearable Sensor System for Physical Ergonomics Interventions Using Haptic Feedback

Interventions to Mitigate Fatigue Induced by Physical Work: A Systematic Review of Research Quality and Levels of Evidence for Intervention Efficacy

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