Labour market status and mortality risk: The Finnmark cohort study 1987-2017

Scand J Public Health. 2024 Jul;52(5):640-648. doi: 10.1177/14034948231174668. Epub 2023 May 19.

Abstract

Aims: The aim of this study was to investigate the age-varying mortality risk associated with different labour market status categories.

Methods: Data from a population-based survey carried out among adults aged 30-62 years in Finnmark in 1987/1988 were linked to the Norwegian Cause of Death Registry to identify all deaths occurring by December 2017. We used flexible parametric survival models to examine the age-varying associations between different labour market status categories (no paid work/homemaker, part-time work, full-time work, unemployment benefits, sick leave/rehabilitation allowance, and disability pension) and mortality.

Results: Men with part-time work, unemployment benefits, sick leave/rehabilitation allowance, or disability pension had an increased mortality risk compared with men with full-time work; however, these findings were restricted to ages below 60-70 years, varying with labour market status category. For women, excess mortality was linked to disability pension in the younger age groups; in older age groups it was linked to the labour market status category no paid work/homemaker. Non-employment was associated with low education level compared with full-time employment.

Conclusions: The study showed increased mortality risk for some non-employment categories, with decreasing relative risk with age. Our findings suggest that the increased mortality risk is partly explained by health, pre-existing illnesses, and health-related behaviour and partly by other factors, such as social network and economic factors.

Keywords: Mortality; Norway; health equity; labour market status.

MeSH terms

  • Adult
  • Aged
  • Cohort Studies
  • Employment* / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Mortality* / trends
  • Norway / epidemiology
  • Risk Factors
  • Sick Leave / statistics & numerical data