Factors affecting the risk of developing lower back musculoskeletal disorders (MSDs) in experienced and inexperienced rodworkers

Salas, Elizabeth A.; Vi, Peter; Reider, Vanesa L.; Moore, Anne

doi:10.1016/j.apergo.2015.06.016

Cited by 27 publications

(9 citation statements)

References 19 publications

(29 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The permissible compression limit of 3400 N is the permissible limit in manual material handling in industrial applications (Harris-Adamson et al, 2016;Milosavljevic et al, 2011;Labaj et al, 2016) although the maximum compression limit is 6000 N (Delleman et al, 2004;Salas et al, 2016). The use of the threshold value for anterior / posterior shear with a limit of 700 N for repetitive manual handling material and 1000 N for non-repetitive handling material handling (Gallagar & Marras, 2012) is also used in the study of lifting of patients into the ambulance (Prairie et al 2014;Labaj et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Enggrong Modification Reduces Low Back Pain Risk on Sand Workers

Nurkertamanda

Adiputra

Tirtayasa

et al. 2017

IRJEIS

View full text Add to dashboard Cite

Material handling manual work is a job at risk to worker health and safety, errors in the manual procedure of manual material handling will result in health impacts in the short and long term. One of the manual jobs of material handling is the job of lowering the sand from the top of the truck. In working the workers use a tool in the form of enggrong which is a shovel with a short handle. Due to the use of employee enggrong work with a stooped posture. This work posture raises the potential for low back pain on workers. Low back pain is a pain and/or loss of workability as a long-term risk of postural errors in activity. Low back pain occurs on low back disc L4 / L5 or L5 / S1. This study used treatment by the same subject design with a sample of 9 participants. The purpose of the study was to find out the different forces in Low back disc L4 / L5 when the worker worked using standard enggrong (Period 1 / P1) compared to using modification enggorong (Period 2 / P2). The forces in the L4 / L5 Low back disc include 1) compression, 2) anterior/posterior shear, and 3) lateral shear. Work posture data was taken using Microsoft KinectTM 3D camera and analyzed by using Siemen Jack 3D Static Strength Prediction Program (3DSSPP) method to get the force on the low back disc. The results of the analysis of the 6 work postures P1 and P2, showed a significant decrease (p <0.05) in the average compression force in the low back disc L4 / L5 on the work posture using modified enggrong. Enggrong modification lowers compression in low back disc L4 / L5 by 38.73% (P1 2143.8 ± 411.3 N; P2 1320.2 ± 418.4 N), anterior / posterior shear 46.17% (P1 542, 6 ± 103.9 N, P2 292.1 ± 81.2 N), and lateral shear 29.69% (P1 31.2 ± 22.08 N; P2 16.6 ± 14.28 N) compared with the use of enggrong standard. The threshold value for compression 3400 N and anterior / posterior shear is 700 N, then the compression and anterior / posterior shear values in Period 2 are well below the threshold. Decrease in the press force in low back disc L4 / L5 is as a result of changes in work posture workers who work using modification enggrong. It can be concluded that the use of modification enggrong can decrease the compressive force in the low back disc L4 / L5 so as to reduce the low back pain occurs to the workers.

show abstract

Section: Discussionmentioning

confidence: 99%

Enggrong Modification Reduces Low Back Pain Risk on Sand Workers

Nurkertamanda

Adiputra

Tirtayasa

et al. 2017

IRJEIS

View full text Add to dashboard Cite

show abstract

“…This level of assessment, including the IMU, directly measures the angular variation during the performance of industrial tasks. This approach allows the musculoskeletal risk assessment to compare and select ergonomic interventions/solutions, as applied by [19,22].…”

Section: Kinematic Analysis Of the Wristmentioning

confidence: 99%

“…Moreover, its reliability and feasibility for assessing human movement are recognized and designed for intuitive use [15]. This technology has been applied in studies focused on work tasks and/or conditions that increase the risk for WMSD occurrence [19,20]. Previous studies demonstrate that the IMU is a promising technology for motion analysis and WMSD risk assessment in several occupational contexts, such as clinical practices [21], automotive assembly [22], farming activities [23], and humanrobot collaboration settings [24].…”

Section: Introductionmentioning

confidence: 99%

Digitalization of Musculoskeletal Risk Assessment in a Robotic-Assisted Assembly Workstation

Colim

Cardoso

Arezes

et al. 2021

Safety

View full text Add to dashboard Cite

The ergonomic assessment of adopted working postures is essential for avoiding musculoskeletal risk factors in manufacturing contexts. Several observational methods based on external analyst observations are available; however, they are relatively subjective and suffer low repeatability. Over the past decade, the digitalization of this assessment has received high research interest. Robotic applications have the potential to lighten workers’ workload and improve working conditions. Therefore, this work presents a musculoskeletal risk assessment before and after robotic implementation in an assembly workstation. We also emphasize the importance of using novel and non-intrusive technologies for musculoskeletal risk assessment. A kinematic study was conducted using inertial motion units (IMU) in a convenience sample of two workers during their normal performance of assembly work cycles. The musculoskeletal risk was estimated according to a semi-automated solution, called the Rapid Upper Limb Assessment (RULA) report. Based on previous musculoskeletal problems reported by the company, the assessment centered on the kinematic analysis of functional wrist movements (flexion/extension, ulnar/radial deviation, and pronation/supination). The results of the RULA report showed a reduction in musculoskeletal risk using robotic-assisted assembly. Regarding the kinematic analysis of the wrist during robotic-assisted tasks, a significant posture improvement of 20–45% was registered (considering the angular deviations relative to the neutral wrist position). The results obtained by direct measurements simultaneously reflect the workload and individual characteristics. The current study highlights the importance of an in-field instrumented assessment of musculoskeletal risk and the limitations of the system applied (e.g., unsuitable for tracking the motion of small joints, such as the fingers).

show abstract

“…The percentage of construction workers exposed to the musculoskeletal hazards in Korea while carrying heavy loads, standing long, and maintaining tiring and painful positions, is about 72%, 83.8%, and 67.9%, respectively [3]. Herein, we identify the factors that either affect ergonomic interventions or reduce MSDs in construction workers (i.e., masons, pavers, and electricians) [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Musculoskeletal Disorders and Muscle Stresses on Construction Workers’ Awkward Postures Using Simulation

et al. 2020

View full text Add to dashboard Cite

The negligence involved in musculoskeletal disorder (MSD) at construction sites results in high rates of muscle injuries. This paper presents findings identified by the MSD for each part of a worker’s body, categorizing the awkward postures of each body part, estimating muscle stresses, and establishing the benchmark using anthropometry and hand force data. MSDs and their corresponding frequencies were identified by administering the Nordic Musculoskeletal Questionnaire (NMQ) survey, which solicits responses regarding construction workers’ awkward postures. Musculoskeletal stresses were estimated using three-dimensional static strength prediction program (3D SSPP) biomechanical software. The new benchmarks were established for existing preventive measures using the anthropometry and hand force data. Workers suffering from different body muscle pains in awkward postures may be predicted using the compression forces magnitude, strength capability, and body balance. The model was verified by comparing its outputs with the survey analysis results. The study is of value to practitioners because it provided a means to understand the contemporary scenario of MSD and to establish a practical benchmark based on the physical capability of workers. It is relevant to researchers because it digitally predicts MSD and facilitates experimentation with different dimensions, thereby contributing to construction productivity improvement. Test cases validate the prediction method.

show abstract

Factors affecting the risk of developing lower back musculoskeletal disorders (MSDs) in experienced and inexperienced rodworkers

Cited by 27 publications

References 19 publications

Enggrong Modification Reduces Low Back Pain Risk on Sand Workers

Enggrong Modification Reduces Low Back Pain Risk on Sand Workers

Digitalization of Musculoskeletal Risk Assessment in a Robotic-Assisted Assembly Workstation

Analysis of Musculoskeletal Disorders and Muscle Stresses on Construction Workers’ Awkward Postures Using Simulation

Contact Info

Product

Resources

About