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

Multistate worklife expectancies.

Markku Nurminen1, Tuula Nurminen

  • 1Department of Epidemiology and Biostatistics, Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, FIN-00250 Helsinki, Finland. markku.nurminen@ttl.fi

Scandinavian Journal of Work, Environment & Health
|July 8, 2005
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

Asbestos, Smoking and Lung Cancer: An Update.

International journal of environmental research and public health·2020
Same author

Liposomal Tumor Targeting in Drug Delivery Utilizing MMP-2- and MMP-9-Binding Ligands.

Journal of drug delivery·2011
Same author

Diagnosis of epithelial mesothelioma using tree-based regression analysis and a minimal panel of antibodies.

Pathology·2009
Same author

Worklife expectancies of fixed-term Finnish employees in 1997-2006.

Scandinavian journal of work, environment & health·2008
Same author

15-lipoxygenase-1 prevents vascular endothelial growth factor A- and placental growth factor-induced angiogenic effects in rabbit skeletal muscles via reduction in growth factor mRNA levels, NO bioactivity, and downregulation of VEGF receptor 2 expression.

Circulation research·2007
Same author

Occupational exposure in dentistry and miscarriage.

Occupational and environmental medicine·2006
Same journal

Mental health problems and suicidal behaviors in person-related work: a Swedish register-based cohort study.

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

Relative risk and excess fraction of preterm birth across maternal occupation and industry: a Danish nationwide register-based cohort study of employed pregnant women.

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

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 journal

Employment and working conditions and risk of suicidal behaviors: a systematic review and meta-analysis of longitudinal studies.

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

Association between pesticide use and liver injury: A field study in Taiwan.

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

Large language model exposure and precarious occupations: Unpacking relationships in the Canadian labor force.

Scandinavian journal of work, environment & health·2026
See all related articles

This study introduces worklife expectancy, a demographic concept crucial for occupational health and pension policy. A new regression method accurately estimates workforce status and mobility, aiding in policy decisions.

Area of Science:

  • Demography
  • Epidemiology
  • Occupational Health

Background:

  • Worklife expectancy is a key demographic indicator.
  • Existing methods for calculating worklife expectancy have limitations.
  • Occupational health research and pension policy can benefit from improved worklife expectancy metrics.

Purpose of the Study:

  • To review the demographic concept of worklife expectancy.
  • To highlight its utility in occupational health and pension policy.
  • To introduce a multivariate regression method for worklife table analysis.

Main Methods:

  • Utilized a multivariate large-sample regression method.
  • Applied a multistate regression model to aggregated population data.
  • Analyzed Finnish population statistics on employment, disability, retirement, and mortality.

Related Experiment Videos

Main Results:

  • The study demonstrated a method to estimate worklife expectancies using population data.
  • The methodology allows for consistent estimation of work-health state probabilities and transitions.
  • Empirical findings provide insights into Finnish pension policy.

Conclusions:

  • Worklife expectancy is a valuable metric for occupational health and pension policy.
  • The presented regression method offers a robust approach to quantify workforce status and mobility.
  • Further research can refine the application of worklife expectancy in policy-making.