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

Odds Ratio01:09

Odds Ratio

137
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
137
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

126
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
126
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

40
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
40
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

100
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
100
Relative Risk01:12

Relative Risk

167
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
167
Hazard Ratio01:12

Hazard Ratio

121
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
121

You might also read

Related Articles

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

Sort by
Same author

Artificial Intelligence and Occupational Health: Global Umbrella Review of Applications and Limitations.

Safety and health at work·2026
Same author

Work Exposome estimation through Job Exposure Matrices - JEMs?

Journal of occupational and environmental medicine·2026
Same author

The association between occupational mechanical exposures and low-back and lower-body musculoskeletal disorders: an overview of systematic reviews.

Annals of work exposures and health·2026
Same author

Making every contact count for adult patients in healthcare settings: a scoping review of implementation contexts, methods, and levels of evidence.

BMC health services research·2026
Same author

Job strain and ischemic heart disease: the balance of methodological bias and implications for prevention. Response to: Bonde JP et al. The demands-control-support work stress model and risk of ischemic heart disease: causal inference based on observational epidemiology.

Scandinavian journal of work, environment & health·2026
Same author

Reconsidering the Health Impact of Long Working Hours on Cardiovascular Health.

Journal of occupational and environmental medicine·2026
Same journal

Editorial: The MASLD spectrum: an emerging epidemic of cardiometabolic and extra-hepatic dimensions.

Frontiers in epidemiology·2026
Same journal

The persistence and mortality of Lassa fever in Nigeria reflect systemic clinical and diagnostic challenges rather than viral reemergence alone.

Frontiers in epidemiology·2026
Same journal

Incidence, prevalence, and prognostic impact of sarcopenia on hepatic and cardiovascular outcomes in non-cirrhotic metabolic dysfunction-associated steatotic liver disease.

Frontiers in epidemiology·2026
Same journal

Modeling the disruptive impact of the COVID-19 pandemic on nurses' supply and wages.

Frontiers in epidemiology·2026
Same journal

HIV-1 late diagnosis in Cabo Verde: associated factors and implications for preventive strategies.

Frontiers in epidemiology·2026
Same journal

Ventilator-associated pneumonia among intensive care nurses: a multicenter cross-sectional study on knowledge and preventive measures in intensive care units of Mogadishu, Somalia.

Frontiers in epidemiology·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.2K

Job-Exposure Matrix: A Useful Tool for Incorporating Workplace Exposure Data Into Population Health Research and

Alexis Descatha1,2,3, Marc Fadel1, Grace Sembajwe3

  • 1Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, SFR ICAT, Angers, France.

Frontiers in Epidemiology
|March 8, 2024
PubMed
Summary
This summary is machine-generated.

Job-exposure matrices (JEMs) estimate occupational exposures for large studies. Despite limitations, JEMs offer a cost-effective method for assessing workplace risks and chronic disease links.

Keywords:
JEMepidemiologyjob exposure matrixoccupational exposurepublic health

More Related Videos

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.5K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.0K

Related Experiment Videos

Last Updated: Jul 1, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.2K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.5K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.0K

Area of Science:

  • Occupational Health
  • Epidemiology
  • Environmental Health

Background:

  • Workplace exposures to physical, chemical, and psychosocial factors contribute significantly to chronic disease burden.
  • Accurate assessment of past and present occupational exposures is difficult, especially in large population studies.

Purpose of the Study:

  • To provide a scoping review of Job-Exposure Matrices (JEMs) for occupational exposure assessment.
  • To offer guidance on applying JEMs in epidemiological research and public health practice.

Main Methods:

  • Scoping review of existing literature on Job-Exposure Matrices (JEMs).
  • Analysis of JEMs' utility, limitations, and applications in exposure assessment.
  • Examples of JEMs and guidance for their use in research.

Main Results:

  • Job-Exposure Matrices (JEMs) are valuable tools for estimating occupational exposures when individual data are unavailable.
  • Key advantages include low cost, wide applicability, and reduced self-reporting bias.
  • The primary limitation is the lack of individual exposure variability within job categories.

Conclusions:

  • JEMs are a practical and widely applicable tool for estimating occupational exposures in large-scale epidemiological studies.
  • They support research into chronic diseases linked to workplace factors and inform public health strategies.
  • JEMs enable exposure assessment crucial for understanding occupational health risks.