Related Experiment Video
Updated: Apr 2, 2026
04:57
Author Spotlight: Advancing Spectral Characterization of Physiological and Malperfused Tissues
Published on: July 5, 2024
921
Regional Mortality Disparities in Germany: Long-Term Dynamics and Possible Determinants
Eva U B Kibele1, Sebastian Klüsener2, Rembrandt D Scholz2
1Population Research Centre, Faculty of Spatial Sciences; Healthy Ageing, Population and Society (HAPS), University of Groningen, Groningen, The Netherlands.
Kolner Zeitschrift Fur Soziologie Und Sozialpsychologie
|September 29, 2015
Summary
Regional mortality in Germany has shifted significantly over the past century, with socioeconomic factors increasingly influencing life expectancy disparities between regions. These long-term trends reveal evolving patterns in German mortality.
Area of Science:
- Demography
- Public Health
- Sociology
Background:
- Regional mortality inequalities in Germany exhibit long-term fluctuations.
- Significant shifts in spatial mortality patterns have been observed over the past century.
- Changes include East-West German disparities and a reversal in North-South life expectancy trends.
Purpose of the Study:
- To analyze long-term trends in spatial mortality disparities in Germany since 1910.
- To investigate the determinants of these regional mortality patterns.
- To understand the evolving relationship between socioeconomic conditions and mortality.
Main Methods:
- Analysis of historical mortality data from 1910 onwards.
- Examination of regional socioeconomic data.
- Linking mortality trends with theoretical frameworks and existing research.
Main Results:
- Regional mortality patterns in Germany have undergone substantial changes over 100 years.
- East-West German mortality differences emerged and then diminished post-reunification.
- A reversal in life expectancy between Northern and Southern Germany occurred.
- The association between regional socioeconomic conditions and mortality has strengthened.
Conclusions:
- The determinants of spatial mortality variation have evolved significantly over time.
- Socioeconomic factors play an increasingly important role in regional mortality differences in Germany.
- Understanding these long-term trends is crucial for public health policy.
More Related Videos
Related Concept Videos
01:20Comparing the Survival Analysis of Two or More Groups
710
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
710
01:29Bias in Epidemiological Studies
1.6K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.6K
01:12Regional Terms
16.7K
Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
16.7K
01:19The Mantel-Cox Log-Rank Test
1.2K
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
1.2K
01:12Relative Risk
2.5K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.5K
01:52Regression Toward the Mean
7.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.3K