[Regional differences and trends in healthy life expectancy in Germany]. / Regionale Unterschiede und Trends in gesunder Lebenserwartung in Deutschland.

BACKGROUND: Against the background of increasing life expectancy, the question arises in which state of health the additional years of life are spent. The aim of this study is to assess for the first time regional differences in healthy life expectancy for Germany. METHODS: The concept of healthy life expectancy allows for the combination of regional differences in health status and mortality in a single measure. This article uses the concept of partial healthy life expectancy. We use official data on deaths and population numbers to calculate abridged life tables. Data from the Socio-Economic Panel (SOEP) are used to determine the age- and sex-specific prevalences of health status. Regional differences are analyzed from 2002 to 2019 by dividing Germany into four regions (North, South, East, West). RESULTS: The regional differences in healthy life expectancy in Germany are greater than differences in life expectancy, and trends in healthy life expectancy partly differ from the corresponding trends in mortality. These differences over time also vary according to age: while healthy life expectancy has tended to stagnate and, in some cases, decline among the population aged between 20 and 64, the number and proportion of years in good health has increased among older adults up to the age of 79. CONCLUSION: There are striking regional differences and trends in the distribution of expected years in good health in Germany. The timely identification of regionally divergent developments could facilitate the implementation of targeted health-promoting measures.

Occupational differences in mortality and life expectancy persist after retirement and throughout life.

AIMS: There are substantial differences in remaining life expectancy at higher ages between occupational groups. These differences may be the effect of work-related exposures, lifestyle factors of workers in specific occupations, socioeconomic position or a combination of this. The scope of this paper is the extent to which occupational differences in remaining life expectancy persist after retirement, which would suggest that occupational exposures alone are not likely to explain all the difference. METHODS: All individuals born between 1925 and 1939 who reported occupational information in the Census 1985 and were residents in Sweden to the end of 2020 or who died were included and followed for death until 2020. The Nordic Classification of Occupations was used to create nine occupational groups. Partial life expectancy and age-specific death rates were applied to examine mortality differentials. RESULTS: This study showed substantial differences in partial life expectancy across the occupational cohorts with the biggest difference being about 2 years. The mortality differences persisted with increasing age, both when measured as absolute numbers as well as relative numbers. CONCLUSIONS: The lack of convergence in mortality at high ages suggests that factors associated with lifestyle may play a larger role than occupational factors for the mortality differences between occupational groups at high ages. However, it cannot be ruled out that long-lasting effects of earlier occupational exposures also contribute. Regardless of the exact mechanism, we conclude that there is room for further reduction in mortality at high ages and, thus, for further improvement in life expectancy.