ArticleSSM - population health2022
Estimating trends in working life expectancy based on health insurance data from Germany - Challenges and advantages.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- 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
- Trends in Working Life Expectancy and Untapped Employment Potential in an Ageing Population: The Case of Germany.European journal of population = Revue europeenne de demographie · 2026Article
- Individual- and area-level socioeconomic inequalities in cancer incidence in the working-age population - a cohort study based on German statutory health insurance data, 2015 to 2019.BMC public health · 2025Article
- Exploring machine learning classification for community based health insurance enrollment in Ethiopia.Frontiers in public health · 2025Article
- 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
- [Healthier at work for longer? Trends in life years free of cardiovascular and musculoskeletal diseases in the employed and general population based on health insurance claims data].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- Trends in severe functional limitations among working and non-working adults in Germany: Towards an (un)-healthy working life?European journal of ageing · 2024Article
- A Hierarchical Bayesian approach to small area estimation of health insurance coverage in Ethiopian administrative zones for better policies and programs.Health economics review · 2024Article
- The development of working life expectancy without musculoskeletal diseases against the backdrop of extended working lives.Scientific reports · 2024Article
- Socioeconomic differences in working life expectancy: a scoping review.BMC public health · 2024Article
- Trends of healthy and unhealthy working life expectancy in Germany between 2001 and 2020 at ages 50 and 60: a question of educational level?Journal of epidemiology and community health · 2023Article
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8 authors.
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Abstract
Against the backdrop of population aging and growing strain on pension systems, monitoring the development of Working Life Expectancy (WLE) is vital to assess whether the policies taken are effective. This is the first study investigating time trends and educational inequalities in WLE based on German health insurance data. The analyses are based on the data of the AOK Lower Saxony (N = 3,347,912) covering three time periods (2006-08, 2011-13, and 2016-18). WLE is defined as years spent in the labor force (i.e. in employment and unemployment) and was calculated for each age between 18 and 69 years for the three periods to depict changes over time using multistate life table analysis. Educational inequalities in 2011-13 are reported for two educational levels (8-11 years and 12-13 years of schooling). WLE increased in both sexes with increases being stronger among women. This holds irrespective of whether WLE at age 18 (35.8-38.3 years in men, 27.5-34.0 years in women) or the older working-age (e.g. at age 50 10.2-11.7 years in men, 7.8-10.5 years in men) is considered. Among women at all ages and men from their mid-20s onwards, WLE was higher among higher-educated individuals. Inequalities were most pronounced among women (e.g. Δ3.1 years in women, Δ1.3 years in men at age 50). The study supports previous research indicating that measures to extend working life are effective, but that noticeable inequalities in WLE exist. Health insurance data represent a valuable source for such research that has so far remained untapped. The data provide a suitable basis to investigate trends and inequalities in WLE. Future research should build on the strengths of the data by broadening the research towards a more comprehensive analysis of the development of WLE from a health perspective.
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