Loichinger Elke, Skora Thomas, Sauerberg Markus, Grigoriev Pavel
Bundesinstitut für Bevölkerungsforschung (BiB), Friedrich-Ebert-Allee 4, 65185, Wiesbaden, Deutschland.
GESIS - Leibniz-Institut für Sozialwissenschaften, B6, 4-5, 68159, Mannheim, Deutschland.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 May;67(5):546-554. doi: 10.1007/s00103-024-03864-y. Epub 2024 Apr 12.
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.
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).
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.
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.
在预期寿命不断提高的背景下,出现了这样一个问题,即额外增加的寿命是在何种健康状态下度过的。本研究的目的是首次评估德国健康预期寿命的地区差异。
健康预期寿命的概念允许将健康状况和死亡率的地区差异结合在一个单一指标中。本文使用部分健康预期寿命的概念。我们利用死亡和人口数量的官方数据来计算简略生命表。来自社会经济面板(SOEP)的数据用于确定特定年龄和性别的健康状况患病率。通过将德国划分为四个地区(北部、南部、东部、西部),分析2002年至2019年的地区差异。
德国健康预期寿命的地区差异大于预期寿命的差异,并且健康预期寿命的趋势在一定程度上不同于相应的死亡率趋势。这些随时间的差异也因年龄而异:虽然20至64岁人群的健康预期寿命趋于停滞,在某些情况下甚至下降,但79岁及以下老年人的健康年限数量和比例有所增加。
德国健康预期寿命的分布存在显著的地区差异和趋势。及时识别地区性的不同发展情况有助于实施有针对性的健康促进措施。