Risk Assessment Methods of Low Back Pain among Masonry Apprentice

Kothai P.S; Ambika D; Suchithra S; Indrajith T

doi:10.34256/ijceae2213

Kothai P.S Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode-638060, Tamil Nadu, India
Ambika D Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode-638060, Tamil Nadu, India
Suchithra S Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode-638060, Tamil Nadu, India
Indrajith T Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode-638060, Tamil Nadu, India

DOI: https://doi.org/10.34256/ijceae2213

Keywords: Construction Safety, Work Related Musculoskeletal Disorder, Masonry Workers, Low Back Pain, Remote Sensing, Wearable Sensors

Abstract

Work-related musculoskeletal disorders (WMSDs) are primary cause of non-fatal injuries in construction. They involve instant or persistent stress on a worker's body (muscles, tendons, ligaments, bones) that may affect a worker's ability to perform his work or even cause chronic disability. This review helps the construction sectors in better understanding the intensity of WMSDs and the risks associated with them. This paper provides a layout for research community with a comprehensive overview of existing technique, their drawbacks, and the need for more study in order to achieve automated evaluations on construction sites. Despite the fact that assessing vulnerability to WMsSD risk factors has proven to be possible in order to reduce the rate of this injury, the area remains undeveloped due to a lack of awareness among professionals about the facilitating techniques, as well as their efficiency and limitations. This paper examines the current WMSD risk evaluation methods and outlines their convenience and disadvantages. This study helps the construction sector in better understanding the extremity of WMSDs and the risks associated with them. This review imparts the researchers with an integrated view of available methods, their drawbacks, and the need for study in order to achieve automated evaluations on construction sites.

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