Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Psychophysical models for manual lifting tasks.

A M Genaidy1, S S Asfour, A Mital

  • 1Western Michigan University, Kalamazoo, Michigan, USA.

Applied Ergonomics
|December 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dynamic Response and Residual Helmet Liner Crush Using Cadaver Heads and Standard Headforms.

Annals of biomedical engineering·2016
Same author

Hemostatic Disorders in Hormonally Active Pituitary Tumors.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association·2015
Same author

Disability management and the cardiac rehabilitation patient: Job simulation and transitional work strategies.

Journal of occupational rehabilitation·2013
Same author

Issues and concerns in accommodating the elderly in the workplace.

Journal of occupational rehabilitation·2013
Same author

Reliability of repetitive dynamic strengths as a screening tool for manual lifting tasks.

Clinical biomechanics (Bristol, Avon)·2013
Same author

Human strengths and occupational safety.

Clinical biomechanics (Bristol, Avon)·2013
Same journal

Authority gradients in rail: A cross-jurisdictional systematic review and meta-synthesis.

Applied ergonomics·2026
Same journal

The distracting role of stress: Impaired executive attention and delayed fatigue perception.

Applied ergonomics·2026
Same journal

Analysis of work system components in interprofessional communication to determine shock etiology.

Applied ergonomics·2026
Same journal

Getting SSPOT to run: Development of a novel direct observational tool for usage in clinical settings.

Applied ergonomics·2026
Same journal

Investigating the impact of sopite syndrome on physiological responses during an immersive Augmented Reality (AR) game in a moving vehicle.

Applied ergonomics·2026
Same journal

The effect of aircraft cockpit rudder pedal shape on lower limb muscle activation, plantar pressure, and comfort.

Applied ergonomics·2026
See all related articles

This study presents two models to determine the maximum acceptable weight of lift for males and females, considering various factors. These models aid in establishing safer manual handling guidelines for different working populations.

Area of Science:

  • Occupational Ergonomics
  • Biomechanics
  • Human Factors Engineering

Background:

  • Manual lifting tasks pose significant risks for musculoskeletal injuries in the workplace.
  • Existing guidelines for safe lifting may not account for all relevant psychophysical variables.
  • Accurate assessment of maximum acceptable weight of lift (MAWL) is crucial for injury prevention.

Purpose of the Study:

  • To develop and validate two psychophysical models for assessing MAWL in males and females.
  • To generate weight guidelines based on factors including lifting frequency, height, asymmetry, duration, container characteristics, and population percentage.
  • To compare the developed models' recommendations with existing National Institute for Occupational Safety and Health (NIOSH) guidelines.

Main Methods:

Related Experiment Videos

  • Development of two distinct models (male and female) based on a comprehensive literature review.
  • Creation of a BASIC computer program to facilitate user interaction and calculation of safe lifting loads.
  • Validation of the developed models to assess their predictive accuracy for MAWL.

Main Results:

  • The developed models successfully predict the maximum acceptable weight of lift with reasonable accuracy.
  • Guidelines are generated as a function of multiple lifting parameters and population characteristics.
  • A comparative analysis with NIOSH recommendations is provided.

Conclusions:

  • The proposed models offer a valuable tool for establishing evidence-based manual handling guidelines.
  • The models provide a more nuanced approach to MAWL assessment by incorporating diverse task-specific variables.
  • These findings can contribute to improved occupational safety and reduced risk of lifting-related injuries.