Intro
Series Preface
Volume Preface
Contents
About the Series Editors
About the Volume Editors
Contributors
1 Introduction
Introduction
Concepts of the Life Course
Emerging Themes
Occupational Health in the Context of the COVID-19 Pandemic
Lack of Data from the Developing World
Lack of Relevant Data
Conclusion
Cross-References
References
Part I: Background
2 Two Pathways Between Occupation and Health
Introduction
First Pathway: Technical Fragmentation
Second Pathway: Social Class
Covid-19 Pandemic
Practical Exercise

Cross-References
Appendix
Immediate Producers of the Cotton T-Shirt
Inputs to the Immediate Producers
References
3 Transformation of Modern Work, Rise of Atypical Employment, and Health
Introduction
From Standard to Nonstandard Employment Relationships
Part-Time Work
Temporary Agency Work and Fixed-Term Contracts
Self-Employment and the ``Gig ́́Economy
Atypical Work and Health
Conclusions
References
4 The Impact of New Technologies on the Quality of Work
Introduction
Digitalization and Advanced Digital Technologies

The Impact of New Technologies on Job Quality
Intrinsic Quality of Work
Employment Quality
Discussion: A Contextual, Life Course Perspective on Work and Technology
Cross-References
References
Part II: Methodological Challenges
5 Sequence Analysis and Its Potential for Occupational Health Studies
Introduction
Work-Related Stress Trajectories Following Corporate Restructuring
Holistic Methods for Life Course Research
Sequence Analysis
Coding Trajectories
Describing Trajectories
Creating Typology of Trajectories
Comparing Sequences
Cluster Analysis

Linking Trajectories to Covariates
Software
Sequence Analysis Potential for the Study of Occupational Health Across the Life Course
Cross-References
References
6 Job-Exposure Matrices: Design, Validation, and Limitations
Introduction
Definition
Literature Review
Design of Job-Exposure Matrices
Will the Job-Exposure Matrix Be Based on Measured Exposure Data, Worker Self-Reports, or Expert Ratings of Exposures?
What Type of Job Classifications Should Be Used?
What Exposure Components Should Be Considered: Level (Intensity), Duration, Frequency, or Probability?

Should Time and/or Location Be Considered (Date/Year, Region)?
Other Variables
Development
Development of a JEM Based on Expert Assessments
Development of JEMs Based on Existing Exposure Data
Mixed Approaches
Validation
Some Examples of JEM
SYNJEM
O*NET
Matgéné
DOC*X
JEM Constances
Mat-O-Covid
Limitations
Why Use JEMs in Public Health Research and Practice?
Conclusion
References
7 Challenges of Large Cohort and Massive Data in Occupational Health
Introduction
Studies of Large-Scale Registry Data