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Classification of Skeletal Muscle Relaxants01:28

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Skeletal muscle relaxants are a group of drugs that can reduce muscle stiffness and induce temporary paralysis to relieve pain. These agents can act centrally to reduce muscle tone or spasms in painful conditions such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), or spinal injuries; they are called antispasmodics or spasmolytics.
Peripherally acting skeletal muscle relaxants interfere with the neurotransmission at the neuromuscular end plate to induce paralysis during...
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Updated: Jun 3, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Prevalence of Musculoskeletal Disorders in Heavy Vehicle Drivers and Office Workers: A Comparative Analysis Using a

Mohammad Raza1, Rajesh Kumar Bhushan1, Abid Ali Khan2

  • 1Department of Mechanical Engineering, National Institute of Technology Manipur, Imphal 795004, India.

Healthcare (Basel, Switzerland)
|January 8, 2025
PubMed
Summary

Heavy vehicle drivers and office workers experience similar musculoskeletal disorders (MSDs), including low back pain, knee pain, and neck pain. Age and sleep patterns significantly influence these pains, highlighting the need for ergonomic interventions.

Keywords:
Bayesian network modellingknee painlower back painmachine learningneck paintransportation industry

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Area of Science:

  • Occupational Health
  • Ergonomics
  • Musculoskeletal Disorders

Background:

  • Prolonged static postures and forceful exertions in jobs like heavy vehicle driving and office work commonly lead to musculoskeletal disorders (MSDs).
  • Individual risk factors such as age, weight, BMI, sleep, work experience, smoking, and alcohol intake may influence MSD development.

Purpose of the Study:

  • To investigate the prevalence of MSDs in heavy vehicle drivers and transportation office workers.
  • To identify individual risk factors contributing to MSDs in these occupational groups.

Main Methods:

  • A cross-sectional study utilizing a modified Nordic Questionnaire.
  • Data collected from 48 heavy vehicle drivers and 40 transportation office workers.

Main Results:

  • Low back pain (LBP), knee pain (KP), and neck pain (NP) were the most prevalent MSDs in both groups.
  • Bayesian modeling indicated NP influences KP, which in turn influences LBP.
  • Logistic regression identified age as a significant risk factor for LBP, and increased sleep correlated with decreased NP.

Conclusions:

  • Heavy vehicle drivers and office workers experience similar levels of LBP, KP, and NP, despite differing job profiles.
  • Age and sleep duration are key factors influencing MSDs in these workers.