Functional impairment as a predictor of spine loading

Area of Science:

• Biomechanics of the spine and musculoskeletal system.
• Occupational health and safety in materials handling.
• Clinical assessment of low back pain (LBP) patients.

Background:

• Recurrent low back pain (LBP) is a prevalent and costly issue, potentially linked to elevated spine loads.
• Previous research indicates higher spine loading in LBP patients during work tasks compared to asymptomatic individuals.
• Identifying safe lifting parameters for LBP patients remains a challenge.

Purpose of the Study:

• To ascertain if trunk kinematic status (functional impairment) predicts increased spine loading in LBP patients.
• To compare spine loading and kinematic abilities between LBP patients and asymptomatic individuals.
• To establish a predictive model for spine loading during lifting tasks.

Main Methods:

• Assessed kinematic compromise in 62 LBP patients and 61 asymptomatic individuals using a prelift test.
• Measured spine loading during varied lifting exertions (origin, asymmetry, weight) using an electromyography-assisted model.
• Employed statistical models to analyze the relationship between kinematic compromise and spine loading.

Main Results:

• LBP patients exhibited significantly greater spine loading and kinematic compromise compared to controls.
• A strong correlation was found between the degree of kinematic compromise and increased spine loading in LBP patients.
• Developed predictive models explaining substantial variability in spinal compression (87%) and shear forces (61-65%).

Conclusions:

• Increased antagonistic muscle coactivation in LBP patients with kinematic compromise reduces trunk motion and elevates spine loading.
• A method was devised to predict elevated spine loading based on kinematic compromise and lifting task conditions.
• This predictive approach can aid in managing return-to-work protocols for LBP patients during materials handling.