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

Relationship between maximum acceptable work time and physical workload.

Hsin-Chieh Wu1, Mao-Jiun J Wang

  • 1Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, 30043, ROC.

Ergonomics
|May 25, 2002
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

Solving patient scheduling problems in hospitals using a dedicated GenAI system.

Health informatics journal·2026
Same author

Fear of progression and symptom trajectories among women with recurrent breast cancer: A six-month prospective study.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2026
Same author

Retinoic acid disrupts an NPM1c/ROS/SENP3/ARF oncogenic axis in acute myeloid leukemia.

Leukemia·2025
Same author

Tripartite RAR fusions explain RA resistance.

Blood·2024
Same author

Acute Promyelocytic Leukemia, Retinoic Acid, and Arsenic: A Tale of Dualities.

Cold Spring Harbor perspectives in medicine·2024
Same author

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach.

Digital health·2023
Same journal

Identification of systemic barriers, facilitators and adaptations to effective record-keeping: a South African primary healthcare clinic case study.

Ergonomics·2026
Same journal

Layer-specific facial soft-tissue thickness in 1174 Chinese adults: Implications for finite-element headforms and ergonomic design.

Ergonomics·2026
Same journal

The dual effects of information presentation speed on operator performance in dynamic tasks: a study in supervisory control and data acquisition interfaces.

Ergonomics·2026
Same journal

Evaluating generative AI teaching assistants in simulated learning environments: how instructor type and support type affect students' perceptions.

Ergonomics·2026
Same journal

Swipe smart, not hard: hand health of smartphone users in a university population.

Ergonomics·2026
Same journal

Couriers' work-related musculoskeletal disorders and psychological distress: Insights for work errors and traffic safety.

Ergonomics·2026
See all related articles

Maximum acceptable work time (MAWT) decreases with higher physical workload. This study found a strong negative correlation, providing models to guide safe job design for varying shift lengths and intensities.

Area of Science:

  • Occupational Health
  • Human Physiology
  • Ergonomics

Background:

  • Safe job design requires understanding the maximum acceptable work time (MAWT) for specific workloads.
  • Establishing the relationship between MAWT and physical workload is crucial for preventing occupational fatigue and injury.

Purpose of the Study:

  • To determine the relationship between maximum acceptable work time (MAWT) and physical workload.
  • To develop predictive models for MAWT based on physiological workload indicators.

Main Methods:

  • 12 young adults underwent laboratory cycling tests at six different work rates relative to their maximum working capacity.
  • Physiological data including oxygen uptake (VO2), percent maximum aerobic capacity (%VO2max), relative heart rate (RHR), and relative oxygen uptake (RVO2) were continuously monitored.

Related Experiment Videos

  • MAWT was determined by analyzing heart rate responses during the tests.
  • Main Results:

    • MAWT demonstrated a significant negative correlation with %VO2max, RHR, and RVO2 (p < 0.01).
    • Three exponential regression models were developed, all exhibiting high explanatory power (R² > 0.80).
    • Findings indicate that longer work shifts (>10 hours) necessitate lower work intensity compared to an 8-hour workday.

    Conclusions:

    • The established models provide quantitative insights into adjusting workload intensity based on shift duration for improved occupational safety.
    • Workload limits for shorter shifts (e.g., 4 hours) can be set higher than for standard 8-hour shifts, with a suggested increase of approximately 10% VO2max.
    • These findings support evidence-based recommendations for optimizing work schedules and physical demands in occupational settings.