Pre-Exertion Perceptions of Musculoskeletal Overexertion Injury Risk: An Assessment of Age, Gender, Anthropometric, and Lifting Task Factors

Author(s):  
Steven F. Wiker ◽  
Viviana Baggio

Manual materials handling safety training programs typically encourage workers to make judgments regarding manual material handling risk prior to making attempts to perform the task. The objectives of this effort were to determine if: a) perceptions of MMH tasks are consistent with consensus-based lifting hazards, and b) judgments are materially affected by observer age and or gender. Photographs of orthogonally varied levels of horizontal and vertical origin and final position of a 20 Kg box lift at 0.2, 2 and 5 lifts per minute were presented to 50 males and 50 females who were distributed among age decades between 20 and 70 years. Subjects were asked to rate their perceived risk of musculoskeletal injury using magnitude estimation methods. Results showed that subjects, regardless of age, were unable to spatially perceive consensus-based biomechanical indexes of musculoskeletal hazard; this finding held regardless of age group, gender, stature, body mass, prior safe lifting practices training, or history of low back injury.

Author(s):  
Mochamad Nuri Affa ◽  
Boy Isma Putra

PT. JC is a company that uses means of transporting goods to the manual process, or so-called Manual Materials Handling (MMH) is done by workers in the Department of Warehouse. In addition to the process of moving goods by using aids such as forklifts manual removal is still needed in this company because it has advantages compared to using the tool for material removal manually can be done in a limited space. In the process of manual material handling led to several complaints that arise and can be analyzed using a Nordic body map (NBM). The use of nordic body map is an appropriate method to use because by analyzing the map of the body aimed at any part of the body feels pain.Besides complaints can also be known value Recomended Weight Limit (RWL) as recommended by NIOSH (National Institute of Occupational Safety and Health) on estimates possibility of stretching further to the value of Lifting Index (LI) aims to determine the estimated value relative to the voltage level of physical processes manual material handling. From manual material handling processes that cause the symptoms of musculoskeletal disorder completion technically be done to minimize the effects on workers. keywords:Manual Material Handling, Muskuloskelatal Disorder, Nordic body map,Recomended Weight Limit , Lifting Index.


2020 ◽  
Vol 21 (2) ◽  
pp. 164-176
Author(s):  
Radin Zaid Radin Umar ◽  
Fatin Ayuni Mohd Azli Lee ◽  
Muhammad Naqiuddin Khafiz ◽  
Nadiah Ahmad ◽  
Nazreen Abdullasim

Manual material transfer tasks are common in occupational settings. Repetitive lifting tasks usually involve twisting and bending which are associated with occupational lower back injuries. One of the approaches to reduce bending and twisting is to separate the distance between lifting origin and destination, which will encourage lifters to step and turn entire bodies. However, adding lifting distances is likely to affect space usages and requirements. A study was conducted to investigate how the transfer distances influence space usage during the lifting task. Raw data of hip and hand wrists motion of 26 male subjects during transfer in 4 different distances were captured using X-Sens motion capture system. MVN Studio software was used to process and extract positional data. Tabulated space mapping revealed limited hip movement and semicircular shaped hand motions for short transfer distances. The pattern changes into a more stretched-curve shape as the distance increases. Overall, it was observed that shorter transfer distance caused participants to adopt more twisting and less bending postures, while further transfer distances resulted in more bending and less twisting. This study may provide industrial practitioners with information to design a space requirement for manual material transfer tasks. ABSTRAK: Kerja-kerja pemindahan barang secara manual adalah biasa dalam persekitaran kerja. Kerja-kerja mengangkat barang yang kebiasaannya melibatkan badan membengkok dan berpusing boleh menyebabkan kecederaan tulang belakang. Salah satu cara bagi mengurangkan risiko ini adalah dengan memisahkan jarak antara tempat asal dan tempat tuju pemindahan barang. Pemindah barang digalakkan untuk melangkah dan memusingkan seluruh badan. Namun, cara ini menyebabkan penggunaan ruang yang banyak. Satu kajian telah dijalankan bagi mengkaji bagaimana jarak pemindahan barang mempengaruhi penggunaan ruang ketika kerja-kerja pemindahan. Data asal pergerakan pinggul dan pergelangan tangan daripada 26 subjek lelaki ketika pemindahan barang pada 4 jarak berbeza diperolehi menggunakan sistem rakaman gerakan X-Sens. Perisian MVN Studio digunakan bagi memproses dan mengekstrak data ini. Ruang pemetaan berjadual mendedahkan pergerakan pinggul yang terhad dan pergerakan tangan berbentuk separa bulat pada jarak pemindahan terdekat. Corak ini berubah kepada bentuk lengkung memanjang apabila jarak bertambah. Keseluruhannya, jarak pindahan yang kurang menyebabkan para peserta lebih terdedah kepada postur memusingkan badan berbanding membengkok, sementara jarak yang jauh menyebabkan peserta lebih membengkok berbanding memusingkan badan. Kajian ini memberikan maklumat untuk penggiat industri mereka cipta keperluan ruang bagi kerja-kerja pemindahan barang secara manual.


Author(s):  
Roberta Zulfhi Surya

<p>Palm oil (Elaeis) is an important industrial plants producing cooking oil, industrial oil, and fuel (biodiesel) as the palm oil business is currently exceptional. Work activities in palm oil plantations, especially, loading and unloading are potentially causing Musculoskletal Disorders (MSDs). Manual Materials Handling (MMH) activities in palm oil business potentially occurs MSDs at (1) the upper neck; (2) the lower neck; (3) the left shoulder; (4) the right shoulder; (5) the backs; (6) on the right arm; (7) under the left arm; (8) the right forearm; (9) the left wrist; (10) the right wrist; (11) the left hand; and (12) the right hand. MSDs happens due to these 12 body parts are in direct contact with the activities. The primary cause of MSDs is unnatural working attitude and excessive muscle tension began from the design of a working system that is designed not in accordance with the workers’ limitations.</p><p>Keywords: Palm Oil, Musculoskletal Disorders, Manual Material Handling</p>


2021 ◽  
Vol 15 (6) ◽  
pp. 1736-1740
Author(s):  
Masoud Ghofrani ◽  
Manijeh Soleimanifar ◽  
Saeed Talebian

[Purpose] Although lifting tasks has been recognized as a primary risk factor in low back pain, the concept of lifting asymmetry is relatively new subject. To address trunk function, biomechanical studies generally measure trunk muscle activity using surface electromyography (EMG). But so far, magnitude and similarity index (SI) obtained from EMG have not been studied as indicators of the motor control during lifting task. So, the purpose of this study is to compare the trunk muscles magnitude and SI during symmetric and asymmetric lifting. [Subjects and Methods] A total of 20 healthy male with no history of lumbar spine disorders participated. Surface electromyography data were recorded from the 7 trunk muscles while the participants performed symmetric and asymmetric lifting and lowering different loads. [Results] According to Multivariate ANOVAs the phase of motion (lifting, lowering) and condition (symmetry, asymmetry) have a significant effect on SI and magnitude (p≤0.05). Load changes have no effect on SI (p=0.969) but have a significant effect on magnitude (p≤0.05). The magnitude and SI value is higher in asymmetrical lifting and lowering compare to symmetrical condition. [Conclusion] The findings reveal the SI value is higher in asymmetric conditions. This means that the amount of muscles co-contracture increased during asymmetrical conditions. Increased muscles co-contracture reinforces the hypothesis of exerting more compression on the spine in asymmetrical movement. Keywords: Asymmetrical lifting, Motor control, Electromyography


2021 ◽  
Vol 9 (3) ◽  
pp. 368-378
Author(s):  
Efi Yuliati Yovi ◽  
Nasruli Awaliyah

Even though pine oleoresin harvesting is labor-intensive forestry work involving manual material handling (especially lifting) and is massively carried out in Indonesia, there is a lack of ergonomics studies on manual pine oleoresin harvesting. This study focused on lifting-related postures in pine oleoresin harvesting. A Three Dimension Static Strength Prediction Program Version 7.1.0 was used to identify the injury risk on the lower back (lumbosacral joint, L5/S1) using biomechanical criteria (compression and shear forces) at extreme postures. Recommended Weight Limit (RWL) and Lifting Index (LI) were calculated for a comprehensive analysis. The exceeding compression and shear forces indicated that the L5/S1 injury risk on oleoresin collecting work (part of oleoresin harvesting) is high. The psychophysical analysis confirmed the findings, as several main postures in this work were categorized as intense manual lifting due to the excessive score of LI.  A significant reduction in the L5/S1 compression and shear forces were shown at a simulation using a proposed load threshold (using the calculated RWL). Keywords: biomechanics, ergonomics, forestry work, manual lifting, oleoresin harvesting


1983 ◽  
Vol 27 (4) ◽  
pp. 279-283 ◽  
Author(s):  
D. H. Liles ◽  
P. Mahajan ◽  
M. M. Ayoub

This paper compares two methods of evaluating the risk potential of manual materials handling jobs. This comparison is based upon two large field studies. A total of 101 different lifting jobs were analyzed using each of the two methods. Injury profiles, representing a total of over one million hours of worker exposure, were also compiled. The results indicate that the two methods tend to agree in their risk assessment of most jobs. The results also indicate that the assessments tend to be correct when compared to observed injury statistics. There are, however, certain differences between the two methods. These and other points are also discussed.


1999 ◽  
Author(s):  
Yi-Chun Li ◽  
Steven A. Lavender ◽  
Raghu N. Natarajan ◽  
Gunnar B. J. Andersson ◽  
Faird M. L. Amirouche

Abstract The NIOSH 1981 lifting equation (NIOSH, 1981) [1] is based on biomechanical, physiological, psychophysical, and epidemiological criteria in order to identify the risk of low back injuries in bi-manual lifting. The 1991 revised lifting equation [2] expands the application scope of the 1981 equation for evaluating asymmetrical lifting tasks, lifts of objects with less than optimal hand-container couplings, and a larger range of work duration and lifting frequencies; also, the load constant is reduced from 40 kg to 23 kg; the Lifting Index (LI) and the Recommended Weight Limit (RWL) replace the Maximal Permissible Limit (MPL) and Action Limit to indicate the potential risk. LI is an actual lifted weight and uses RWL as its unit. If LI &lt; 1, it assumes that more than 99% of males and 75% of females are capable of performing the lifting task and the risk of causing low back injury is nominal. If LI &lt; 3, it assumes that less than 25% of males and 1% of females are capable of performing the lifting task, and a greater percentage of manual materials handling workers is likely to be at risk of developing low back pain. Waters et al. (1993) [3] noted that although the 1991 equation has not been fully validated, the recommended weight limits derived from the revised equation are consistent with or lower than those generally reported in the literature. Hidalgo et al. (1995) [4] showed that the results of cross-validation of the NIOSH limits for psychophysical criterion confirmed the validity of assumptions made in the 1991 NIOSH revised lifting equation and for the biomechanical and physiological criteria which were not in total agreement. This validation was based on the psychophysical, biomechanical and physiological data recently published in the subject literature (Genaidy et al. 1990, Snook and Ciriello 1991, Genaidy et al. 1993, Asfour et al. 1991) [2]. Most of the validation limit in the sagittal plane lifting and 3.4 KN compressive force on the spine is the standard line in biomechanical criteria. The 1991 revised NIOSH lifting equation recommended that the allowable weight of lift be reduced by about 30% for lifts involving asymmetric twists of 90 degrees (Water et al., 1993), which considers asymmetric multiplier in the sagittal lifts as 1 and 90 degrees lifts as 0.7, and linearly reduced between the sagittal lifts and 90 degrees lifts. This maximum acceptable lifting capacity is applied not only in the heavier loads but also in the lighter loads. The hypothesis in evaluating NIOSH lifting equation on the asymmetric multiplier is that asymmetric multiplier may be appropriate adopted in the heavier loads (LI = 3) but will be improper applied in the lighter loads (LI = 1). Several types of data, static and dynamic data of the L5/S1 forces, moments, and compressive forces, are observed.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 340
Author(s):  
Emily S. Matijevich ◽  
Peter Volgyesi ◽  
Karl E. Zelik

(1) Background: Low back disorders are a leading cause of missed work and physical disability in manual material handling due to repetitive lumbar loading and overexertion. Ergonomic assessments are often performed to understand and mitigate the risk of musculoskeletal overexertion injuries. Wearable sensor solutions for monitoring low back loading have the potential to improve the quality, quantity, and efficiency of ergonomic assessments and to expand opportunities for the personalized, continuous monitoring of overexertion injury risk. However, existing wearable solutions using a single inertial measurement unit (IMU) are limited in how accurately they can estimate back loading when objects of varying mass are handled, and alternative solutions in the scientific literature require so many distributed sensors that they are impractical for widespread workplace implementation. We therefore explored new ways to accurately monitor low back loading using a small number of wearable sensors. (2) Methods: We synchronously collected data from laboratory instrumentation and wearable sensors to analyze 10 individuals each performing about 400 different material handling tasks. We explored dozens of candidate solutions that used IMUs on various body locations and/or pressure insoles. (3) Results: We found that the two key sensors for accurately monitoring low back loading are a trunk IMU and pressure insoles. Using signals from these two sensors together with a Gradient Boosted Decision Tree algorithm has the potential to provide a practical (relatively few sensors), accurate (up to r2 = 0.89), and automated way (using wearables) to monitor time series lumbar moments across a broad range of material handling tasks. The trunk IMU could be replaced by thigh IMUs, or a pelvis IMU, without sacrificing much accuracy, but there was no practical substitute for the pressure insoles. The key to realizing accurate lumbar load estimates with this approach in the real world will be optimizing force estimates from pressure insoles. (4) Conclusions: Here, we present a promising wearable solution for the practical, automated, and accurate monitoring of low back loading during manual material handling.


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