Introduction
Rising life expectancy in Germany and other Western countries forces social security systems to adapt the regulations regarding statutory pensions. As a result, in many countries, the retirement age has been raised in order to maintain the financing of statutory pension funds.1 2 However, the extension of working lives cannot be implemented successfully without considering the health status of the labour force, especially of older persons. One of the main reasons for leaving the labour market due to health reasons are cardiovascular diseases (CVD).3 4 For Germany, there is still insufficient data on the length of life free of specific diseases in the working-age population, which could help to implement specific prevention measures. This study focuses on widespread CVD and examines for the first time the development of working life years free of CVD over time.
Working life expectancy (WLE) is an established measure to capture the length of working lives.5 Eurostat uses WLE for comparisons of working life duration between countries as well as over time.6 The common result of these studies is an increase in WLE over time, though differing between social groups7 8 or countries.9 10 While extending working lives reduces the pressure on pension systems, it remains unclear whether this policy goal is achieved by working longer in poor health if the health of the working-age population is not considered.11
In 2007, Lievre et al introduced healthy working life expectancies (HWLE) as an indicator that combines information on labour force participation and health.12 Based on the data from the European Community Household Panel, the authors showed that men spend about half of the years they live in good health working; for women the proportion was about one-third.12 The findings suggested that a reservoir of healthy years existed that could be spend working.12
Numerous studies examined WLE with regard to disability or long-standing illness,13 14 chronic diseases15 16 or specifically osteoarthritis.17 To our best knowledge, there are no studies on WLE with respect to CVD up to now. The best approximation was the study on exit from paid employment, which found a twofold risk of exit from paid employment due to disability benefits for persons with CVD compared with persons without CVD.18 Overall, a systematic review analysing several population indicators of health and work concluded that HWLE is a suitable measure for monitoring life expectancy in health and work that is still rarely used in research.19 Furthermore, only a few studies analysed the development of WLE free of limitations or diseases over time. In Finnish14 and German20 studies, based on survey data, an increase in HWLE (based on subjective health indicators) could be shown between 2000 and 2018. An overview for 14 countries reported an increase in HWLE as well, except for men in the USA.21
Most of the studies on WLE and HWLE were performed based on survey data: English Longitudinal Study of Aging,17 22 Longitudinal Aging Study Amsterdam15 or Dutch Study on Transitions in Employment, Ability and Motivation.18 23 Only a few studies, mostly from Scandinavian countries, used register data (eg,13 24 most probably due to strict regulations on data protection in many countries including Germany). For Germany, health insurance data provide a suitable database to analyse (H)WLE and were recently used in a first study to calculate WLE.25 This study revealed that WLE in Germany increases over time at every age up to the highest working age,25 which reflects well the trend observed in previous studies based on survey data.7 20 Compared with survey data, routinely collected data from population registers or health insurance providers have several advantages, for example, the detailed information on morbidity (diagnoses, medication), employment status and mortality. The longitudinal nature of the data and the high case numbers allow for analysing time trends in HWLE with respect to specific diagnoses.
The aim of this innovative study was to investigate trends in WLE free of CVD in men and women between 2006 and 2018 based on German statutory health insurance (SHI) data, previously used for the calculation of WLE.25 The study is guided by the following questions:
How did the WLE free of CVD develop over time?
Are there differences between men and women in CVD-free WLE?
How did the proportion of working years free of CVD in total working years (healthy working ratio) develop over time?