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Updated: Jul 30, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Labour market status and mortality risk: The Finnmark cohort study 1987-2017
Monika Dybdahl Jakobsen1, Tonje Braaten2
1Centre for Care Research North, UiT The Arctic University of Norway, Tromsø, Norway.
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.
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