Stang Andreas, Deckert Markus
Institute of Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Hufelandstr. 55, 45147, Essen, Germany.
School of Public Health, Department of Epidemiology, Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA.
Popul Health Metr. 2025 Jan 28;23(1):1. doi: 10.1186/s12963-025-00361-5.
The population figures in Germany are obtained by updating the results of the latest census with information from the statistics on birth, deaths and migration statistics. The Census 2011 in Germany corrected population figures, which have only been updated over a long period of time. The aim of this work is to show the effect of the census-based correction of the population figures on the magnitude of mortality rates in Germany 2011-2013.
We compared mortality rates (total, cancer, and cardiovascular disease) for the period 2011-2013 based on the uncorrected and Census 2011 corrected population figures. We also compared the effect of the choice of different standard populations in the age standardization of rates on the difference in uncorrected and corrected mortality rates.
There is a clear decline in age-specific cancer mortality among men aged 90 and over when using the uncorrected population figures, which is reversed as soon as the corrected population figures are used. Among women, there is hardly any difference between the uncorrected and corrected mortality rates. The correction of the population figures does not lead to a qualitatively different pattern in the mortality rates for cardiovascular diseases and myocardial infarction, but it increases the magnitude of the rates, particularly for elderly men. Standard populations with higher weights at older ages produced larger corrections in mortality rates.
Even though the Census 2011 corrected nationwide mortality rates without age stratification differed only slightly from the uncorrected rates, there were noticeable increases in mortality, particularly in the city states of Hamburg and Berlin and in old age. Due to the particularly large error in the population figures in the older age range, an age standard that assigns lower weights at older ages should be used for age standardization of rates wherever possible.
德国的人口数据是通过用出生、死亡和移民统计信息更新最新人口普查结果来获取的。2011年德国人口普查修正了长期以来一直未更新的人口数据。这项工作的目的是展示基于人口普查对人口数据进行修正对2011 - 2013年德国死亡率规模的影响。
我们比较了基于未修正的和2011年人口普查修正后的人口数据得出的2011 - 2013年期间的死亡率(总死亡率、癌症死亡率和心血管疾病死亡率)。我们还比较了在率的年龄标准化中选择不同标准人群对未修正和修正后死亡率差异的影响。
使用未修正的人口数据时,90岁及以上男性的特定年龄癌症死亡率明显下降,但一旦使用修正后的人口数据,这种下降趋势就会逆转。在女性中,未修正和修正后的死亡率几乎没有差异。人口数据的修正并未导致心血管疾病和心肌梗死死亡率出现质的不同模式,但会提高死亡率的幅度,尤其是老年男性。在较高年龄段权重较大的标准人群在死亡率修正方面幅度更大。
尽管2011年人口普查修正后的全国不分年龄层死亡率与未修正的死亡率仅略有差异,但死亡率有明显上升,特别是在汉堡和柏林等城市州以及老年人群中。由于老年年龄范围的人口数据误差特别大,应尽可能使用在较高年龄段赋予较低权重的年龄标准进行率的年龄标准化。