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 Concept Videos

Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

74
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
74

You might also read

Related Articles

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

Sort by
Same author

Personality as a predictor of professional behavior in dental school: comparisons with dental practitioners.

Journal of dental education·2005
Same author

What predicts performance in Canadian dental schools?

Journal of dental education·2004
Same author

A comparison of attentional and sensory effects in brightness contrast.

The Journal of general psychology·1983
Same author

Probability learning on incidentally observed dimensions: a response bias effect.

Canadian journal of psychology·1976

Related Experiment Video

Updated: May 2, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

13.3K

Examining paid sickness absence by shift workers.

V M Catano1, A B Bissonnette2

  • 1Department of Psychology, Saint Mary's University, MS 325, McNally Building, 923 Robie Street, Halifax, Nova Scotia, Canada B3H 3C3, vic.catano@smu.ca.

Occupational Medicine (Oxford, England)
|February 25, 2014
PubMed
Summary

Shift work is generally not linked to increased sickness absence, contrary to prior beliefs. However, rotating shifts may predict absence, suggesting a need for scheduled time off between shifts.

Keywords:
Physical healthrotating shiftsshift worksickness absencework-life balance.

More Related Videos

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

9.6K

Related Experiment Videos

Last Updated: May 2, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

13.3K
Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

9.6K

Area of Science:

  • Occupational Health
  • Epidemiology
  • Workforce Health Management

Background:

  • Shift work is associated with increased psychological and physical health risks.
  • Limited research has explored the connection between shift work and sickness absence.
  • Previous studies may have been confounded by organizational and individual factors.

Purpose of the Study:

  • To examine the relationship between shift work and sickness absence.
  • To control for confounding variables in shift work research.
  • To provide evidence-based insights into workforce health and productivity.

Main Methods:

  • Analysis of large-scale Canadian national survey data (over 20,000 employees, 6000 firms).
  • Inclusion of 14 diverse occupational groups to ensure broad applicability.
  • Statistical analysis using chi-squared tests and hierarchical regressions.

Main Results:

  • Shift workers reported less paid sickness absence than day workers.
  • No significant differences in sickness absence duration were found between shift and day workers.
  • Job tenure, union presence, and rotating shifts were predictors of sickness absence in shift workers.

Conclusions:

  • Shift work is not generally associated with higher sickness absence rates.
  • Rotating shifts may be a specific predictor of sickness absence.
  • Recommendations include considering scheduled time off between shift changes to mitigate potential negative impacts.