Lifting capacity prediction model using physical performance measures among construction workers

Abstract

Manual materials handling is performed in many workplaces and is a significant risk factor for musculoskeletal injuries. The identification of lifting capacity is important to reduce the occurrence of musculoskeletal injuries. Lifting capacity is difficult to evaluate at the workplace. Therefore, there is a need to develop an alternate method that is easy and could be performed at the workplace. The study aimed to develop a lifting capacity prediction model for construction workers based on muscle strength and endurance. In this study, 65 construction workers were recruited; their socio-demographic and physical characteristics like core strength and endurance, grip strength, and lower limb flexibility were assessed. The lifting capacity was assessed using progressive isoinertial lifting evaluation. Stepwise multiple linear regression was carried out to develop the prediction model. The study suggested that age, BMI, grip strength, flexibility, prone plank, and trunk lateral flexor endurance tests have significantly influenced lifting capacity. Hence prediction model is developed using these variables. The regression model developed would help in easy estimation of lifting capacity among construction workers, which could be even administered with minimal skills by site supervisors or managers. It might help in the decision-making during pre-placement or return to work evaluations, thereby minimizing the incidence of low back disorders.

Normative database of response surface method for human trunk extension in isometric mode

“…3,32 The regression models that used to predict the maximum strength at the joint level can be useful in the fields of utilization ratio estimation (task demand vs maximum capacity), injury risk prediction and muscle fatigue development. 19,27,33 According to our review, it is known that the spinal torques have a coupling nature. But the effect of the three planes angles on the lumbar coupling torques have received less attention.…”

“…Recently, a regression model has been presented for the relationship between lifting capacity and individual indicators. 19 In another study, Zaman et al used an optimization method based on inverse dynamics and presented an asymmetric maximum weight lifting model for one lifting manner in three-dimension by considering the torques of the ankle, hip, knee, lumbar spine, shoulder, elbow and wrist joints. 25 The advantage of the present study is in examining different situations with different angles in three dimensions.…”

“…In recent years, Mohapatra et al (2022) presented a regression model for a person's lifting capacity based on the parameters such as age, body mass index (BMI), endurance tests and individual flexibility. 19 The response surfaces of dynamic performance of joints (strength vs angle and velocity) in flexion/extension have been presented as the normative databases for lower and upper extremity joints: ankle, knee, hip elbow and shoulder. 26,28 Another similar study 27 has presented the database for trunk torque as a function of its position and angular velocity in the sagittal plane.…”

“…However, the trunk strength measurement can provide an objective assessment tool to relate one’s capacity to his task requirement as a part of pre-placement strategy. 19 The knowledge of the trunk torques can be obtained in two ways:…”

“…In recent years, Mohapatra et al (2022) presented a regression model for a person’s lifting capacity based on the parameters such as age, body mass index (BMI), endurance tests and individual flexibility. 19…”