Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study

Sex-specific and regional differences in the prevalence of diagnosed autoimmune diseases in Germany, 2022

BACKGROUND

Research on the epidemiology of autoimmune diseases is impeded due to the rarity of most autoimmune diseases. We aimed to assess the prevalence of diagnosed autoimmune diseases in Germany and examine their sex-specific and regional differences.

METHODS

A cross-sectional study using the nationwide ambulatory claims data of females and males of any age with statutory health insurance from 2022 was designed (N = 73,241,305). Autoimmune diseases were identified by diagnostic codes of the International Classification of Diseases and Related Health Problems, 10th Revision, German Modification (ICD-10-GM). Regional differences were examined at the level of urban and rural districts (N = 401). To control for demographic differences across districts we applied the direct standardization method to calculate sex- and age-standardized prevalences with the German population in 2022 used as a standard population. Furthermore, we calculated prevalence ratios (PR) and 99% confidence intervals (99% CI) to examine sex differences.

RESULTS

Of 73,241,305 insurees (median age, 45; interquartile range, 26-63 years), 6,307,120 had at least one (any) autoimmune disease in 2022, corresponding to a crude prevalence of 8.61% (99% CI: 8.60-8.62%). Of all individuals with autoimmune diseases, 67% were females. The prevalence of single autoimmune diseases varied between 0.008% (pemphigus) and 2.3% (autoimmune thyroiditis). Other autoimmune diseases with a high prevalence were psoriasis (1.9%), rheumatoid arthritis (1.4%), and type 1 diabetes (0.75%). The prevalence was higher in females than males for 25 of the 31 autoimmune diseases with the highest PR observed for autoimmune thyroiditis (PR 5.92; 99% CI: 5.88-5.95), primary biliary cirrhosis (5.60; 5.36-5.84) and systemic lupus erythematosus (5.15; 4.97-5.36). Males were more likely to be diagnosed than females with type 1 diabetes (1.37; 1.36-1.39), ankylosing spondylitis (1.40; 1.39-1.43) and Guillain-Barré syndrome (1.31; 1.27-1.37). The only autoimmune disease without sex difference was myasthenia gravis (1.00; 0.97-1.03). At district level the age- and sex-standardized prevalence of at least one (any) autoimmune disease differed by a factor of nearly 2 between 5.91% and 11.62%. In general, the prevalence was higher in East (former GDR) than West (former FRG) Germany.

CONCLUSION

Although most autoimmune diseases were rare, when considered as a whole, autoimmune diseases turned out to be more common than previously assumed, with one out of 12 individuals affected in Germany.

Impact of the use of small-area models on estimation of attributable mortality at a regional level

The objective of this study is to assess the impact of applying prevalences derived from a small-area model at a regional level on smoking-attributable mortality (SAM). A prevalence-dependent method was used to estimate SAM. Prevalences of tobacco use were derived from a small-area model. SAM and population attributable fraction (PAF) estimates were compared against those calculated by pooling data from three national health surveys conducted in Spain (2011-2014-2017). We calculated the relative changes between the two estimates and assessed the width of the 95% CI of the PAF. Applying surveys-based prevalences, tobacco use was estimated to cause 53 825 (95% CI: 53 182-54 342) deaths in Spain in 2017, a figure 3.8% lower obtained with the small-area model prevalences. The lowest relative change was observed in the Castile-La Mancha region (1.1%) and the highest in Navarre (14.1%). The median relative change between regions was higher for women (26.1%), population aged ≥65 years (6.6%), and cardiometabolic diseases (9.0%). The differences between PAF by cause of death were never greater than 2%. Overall, the differences between estimates of SAM, PAF, and confidence interval width are small when using prevalences from both sources. Having these data available by region will allow decision-makers to implement smoking control measures based on more accurate data.

An innovative visual approach to the simultaneous study of two dimensions of progress in longevity: an application to French and German regions

BACKGROUND

Both enhancing life expectancy and decreasing inequalities in lifespan between social groups are significant goals for public policy. To date, however, methodological tools to study progress in both dimensions simultaneously have been lacking. There is also a consensus that absolute and relative inequalities in lifespan must be studied together.

METHODS

We introduce a novel graphical representation that combines national mortality rates with both absolute and relative measures of social inequality in mortality. To illustrate our approach, we analyze French and German data stratified by place of residence.

RESULTS

For all-age mortality, in France we find a steady pace of decline in both mortality and in regional inequalities in mortality over recent decades. In Germany, substantial progress was made in the 1990s, mostly driven by convergence between eastern and western Germany, followed by a period of slower progress. Age-specific analyses for Germany reveal a worrying divergence in regional trends at ages 35-74 in recent years, which is particularly pronounced among women.

CONCLUSION

Our novel visual approach offers a way to simultaneously examine two dimensions of progress in longevity, and facilitates meaningful comparisons between populations, even when their current mortality rates differ. The applied methods can be easily reproduced in any country for which long-term mortality series stratified by region, or any relevant socioeconomic characteristic, are available. It is useful for both scientific analysis and policy advice.

[Mortality trends in Germany in an international context]

BACKGROUND AND AIM

Due to its strong economy and a well-developed healthcare system, Germany is well positioned to achieve above-average reductions in mortality. Nevertheless, in terms of life expectancy, Germany is increasingly falling behind Western Europe. We compare mortality trends in Germany with other Western European countries, covering the period from 1960 to 2019. The focus is on long-term trends in Germany's ranking in international mortality trends. In addition, we conduct a detailed mortality analysis by age.

METHODS

Our analysis is mostly based on mortality data from the Human Mortality Database (HMD). Cause-specific mortality data originate from the database of the World Health Organization (WHO). For the international comparison of mortality trends, we use conventional mortality indicators (age-standardized mortality rate, period life expectancy).

RESULTS

Compared to other Western European countries, Germany has higher mortality in the middle and older age groups. Germany's life expectancy gap compared to Western Europe has grown during the past 20 years. In 2000, Germany was 0.73 years behind for men and 0.74 years behind for women. By 2019, these figures had risen to 1.43 and 1.34 years, respectively. This is mainly due to mortality from non-communicable diseases.

CONCLUSION

For Germany to catch up with other Western European countries, a stronger focus on further reducing mortality at ages 50+ is crucial. This also requires further research to understand the factors behind Germany's disadvantageous position.

Age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy in Germany, 2003-21: an ecological study

BACKGROUND

Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life-expectancy gap between socioeconomic groups. We examined how age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed at the area level in Germany over time.

METHODS

In this ecological study, official German population and cause-of-death statistics provided by the Federal Statistical Office of Germany for the period Jan 1, 2003, to Dec 31, 2021, were linked to district-level data of the German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by area-level deprivation quintile and decompose the life-expectancy gap between the most and least deprived quintiles into age-specific and cause-specific mortality contributions.

FINDINGS

Over the study period, population numbers varied between 80 million and 83 million people per year, with the number of deaths ranging from 818 000 to 1 024 000, covering the entire German population. Between Jan 1, 2003, and Dec 31, 2019, the gap in life expectancy between the most and least deprived quintiles of districts increased by 0·7 years among females (from 1·1 to 1·8 years) and by 0·1 years among males (from 3·0 to 3·1 years). Thereafter, during the COVID-19 pandemic, the gap increased more rapidly to 2·2 years in females and 3·5 years in males in 2021. Between 2003 and 2021, the causes of death that contributed the most to the life-expectancy gap were cardiovascular diseases and cancer, with declining contributions of cardiovascular disease deaths among those aged 70 years and older and increasing contributions of cancer deaths among those aged 40-74 years over this period. COVID-19 mortality among individuals aged 45 years and older was the strongest contributor to the increase in life-expectancy gap after 2019.

INTERPRETATION

To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from cardiovascular disease and cancer in socioeconomically deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect.

FUNDING

German Cancer Aid and European Research Council.

[Regional differences and trends in healthy life expectancy in Germany]

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.

Regional socioeconomic deprivation in Germany and nicotine use among children and adolescents

To assess the association of regional socioeconomic deprivation and nicotine use, survey data from 17,877 pupils aged 9-17 years were analysed. Lifetime use of combustible, e-cigarettes, and both products were the outcome variables. The German Index of Socioeconomic Deprivation was the exposure variable. Logistic regression models controlling for age, gender, school type, and sensation seeking were used to examine associations between regional socioeconomic deprivation and nicotine use. Ever use of combustible cigarettes was 17.8%, of e-cigarettes 19.6%, and of both products 13.4%. Compared to the most affluent area, the adjusted odds ratio of combustible cigarette use in the most deprived area was 2.24 (95% CI: 1.67-3.00), of e-cigarette use 1.56 (95% CI: 1.20-2.03), and of poly use 1.91 (95% CI: 1.36-2.69). Nicotine use among young people across ages and especially in socioeconomic-deprived areas was widespread. Nicotine control measures are urgently needed to reduce smoking and vaping in German adolescents.

Sex differences in cause-specific mortality: regional trends in seven European countries, 1996-2019

BACKGROUND

Male excess mortality is mostly related to non-biological factors, and is thus of high social- and health-policy concern. Previous research has mainly focused on national patterns, while subnational disparities have been less in the focus. This study takes a spatial perspective on subnational patterns, covering seven European countries at the crossroad between Eastern and Western Europe.

METHODS

We analyze a newly gathered spatially detailed data resource comprising 228 regions with well-established demographic methods to assess the contribution of specific causes of death to the evolution of sex mortality differentials (SMDs) since the mid-1990s.

RESULTS

Our results show that declines in SMDs were mostly driven by a reduction of male excess mortality from cardiovascular diseases and neoplasms (about 50-60% and 20-30%, respectively). In Western Europe, trends in deaths from neoplasms contributed more to the reduction of SMDs, while among regions located in Eastern-Central Europe narrowing SMDs were mostly driven by changes in cardiovascular disease-related deaths. Moreover, men show up to three times higher mortality levels from external causes as compared to women in several analyzed regions. But in absolute terms, external deaths play only a minor role in explaining SMDs due to their small contribution to overall mortality.

CONCLUSIONS

We conclude that examining the regional development of SMDs is useful for introducing targeted social and health policies in order to reduce and prevent mortality inequalities between women and men.

Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019

Cancer mortality has declined in recent decades, but-due to a lack of national individual-level data-it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany's most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.

Different health systems - Different mortality outcomes? Regional disparities in avoidable mortality across German-speaking Europe, 1992-2019

BACKGROUND

Evaluating the impact of health systems on premature mortality across different countries is a very challenging task, as it is hardly possible to disentangle it from the influence of contextual factors such as cultural differences. In this respect, the German-speaking area in Central Europe (Austria, Germany, South Tyrol and large parts of Switzerland) represents a unique 'natural experiment' setting: While being exposed to different health policies, they share a similar culture and language.

METHODS

To assess the impact of different health systems on mortality differentials across the German-speaking area, we relied on the concept of avoidable mortality. Based on official mortality statistics, we aggregated causes of death below age 75 that are either 1) amenable to health care or 2) avoidable through primary prevention. We calculated standardised death rates and constructed cause-deleted life tables for 9 Austrian, 96 German, 1 Italian and 5 Swiss regions from 1992 to 2019, harmonised according to the current territorial borders.

RESULTS

There are strong north-south and east-west gradients in amenable and preventable mortality across the studied regions to the advantage of the southwest. However, the Swiss regions still show significantly lower mortality levels than the neighbouring regions in southern Germany. Eliminating avoidable deaths from the life tables reduces spatial inequality in life expectancy in 2017/2019 by 30% for men and 28% for women.

CONCLUSIONS

The efficiency of health policies in assuring timely and adequate health care and in preventing risk-relevant behaviour has room for improvement in all German regions, especially in the north, west and east, and in eastern Austria as well.