ArticleScandinavian journal of work, environment & health2022
The influence of chronic diseases and poor working conditions in working life expectancy across educational levels among older employees in the Netherlands.
Article in Scandinavian journal of work, environment & health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Work-related psychosocial factors and working life expectancy among Finnish public sector employees aged 50 years or older.Scandinavian journal of work, environment & health · 2026Article
- Trends in healthy working life expectancy and its difference by workload group among aged over 50 years: a longitudinal perspective.Scandinavian journal of work, environment & health · 2026Article
- The effect of the urban built environment on the prevalence rate of chronic diseases in the community neighborhood level: a case study in Qingdao, China.BMC public health · 2025Article
- Educational disparities in labor market participation among middle-aged Koreans with chronic diseases: evidence from the Korean Longitudinal Study of Elderly Employment.Annals of occupational and environmental medicine · 2025Article
- Occupational differences in working life expectancy and working years lost in Nordic countries.Scandinavian journal of work, environment & health · 2025Article
- Mapping dynamic working life patterns and the impact of occupational exposures: a scoping review.BMC public health · 2025Article
- Association between job strain and working life expectancy: a longitudinal study of older people in Sweden.European journal of public health · 2025Article
- Determinants and inequities in healthy working life expectancy in China.Nature medicine · 2024Article
- Healthy enough to work up to age 67 and beyond? A longitudinal population-based study on time trends in working life expectancy free of cardiovascular diseases based on German health insurance data.BMJ public health · 2024Article
- Socioeconomic differences in working life expectancy: a scoping review.BMC public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aims to estimate the influence of chronic diseases and poor working conditions - across educational levels - on working life expectancy (WLE) and working years lost (WYL) in the Dutch workforce after age 50.
methodsInformation on demographics, chronic diseases, and working conditions from 11 800 Dutch workers aged 50-66 years participating in the Study on Transitions in Employment, Ability and Motivation (STREAM) from 2010/2015 was enriched with monthly information on employment status from Statistics Netherlands up to 2018. In a multistate model, transitions were calculated between paid employment and involuntary exit (disability benefits, unemployment) and voluntary exit (economic inactivity, early retirement) to estimate the impact of education, chronic diseases, and working conditions on WLE and WYL between age 50 and 66.
resultsWorkers with a chronic disease (up to 1.01 years) or unfavorable working conditions (up to 0.63 years) had more WYL due to involuntary pathways than workers with no chronic disease or favorable working conditions. The differences in WYL between workers with and without a chronic disease were slightly higher among workers with a lower education level (male: 0.85, female: 1.01 years) compared to workers with a high educational level (male: 0.72, female: 0.82 years). Given the higher prevalence of chronic diseases and unfavorable working conditions, WYL among lower educated workers were higher than among higher educated workers.
conclusionsThe presence of a chronic disease or unfavorable working conditions, more prevalent among lower educated workers, contribute substantially to WYL among older workers. This will increase educational inequalities in working careers.eers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.