Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework.

BACKGROUND: In health care, diagnosis codes in claims data and electronic health records (EHRs) play an important role in data-driven decision making. Any analysis that uses a patient's diagnosis codes to predict future outcomes or describe morbidity requires a numerical representation of this diagnosis profile made up of string-based diagnosis codes. These numerical representations are especially important for machine learning models. Most commonly, binary-encoded representations have been used, usually for a subset of diagnoses. In real-world health care applications, several issues arise: patient profiles show high variability even when the underlying diseases are the same, they may have gaps and not contain all available information, and a large number of appropriate diagnoses must be considered. OBJECTIVE: We herein present Pat2Vec, a self-supervised machine learning framework inspired by neural network-based natural language processing that embeds complete diagnosis profiles into a small real-valued numerical vector. METHODS: Based on German outpatient claims data with diagnosis codes according to the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10), we discovered an optimal vectorization embedding model for patient diagnosis profiles with Bayesian optimization for the hyperparameters. The calibration process ensured a robust embedding model for health care-relevant tasks by aggregating the metrics of different regression and classification tasks using different machine learning algorithms (linear and logistic regression as well as gradient-boosted trees). The models were tested against a baseline model that binary encodes the most common diagnoses. The study used diagnosis profiles and supplementary data from more than 10 million patients from 2016 to 2019 and was based on the largest German ambulatory claims data set. To describe subpopulations in health care, we identified clusters (via density-based clustering) and visualized patient vectors in 2D (via dimensionality reduction with uniform manifold approximation). Furthermore, we applied our vectorization model to predict prospective drug prescription costs based on patients' diagnoses. RESULTS: Our final models outperform the baseline model (binary encoding) with equal dimensions. They are more robust to missing data and show large performance gains, particularly in lower dimensions, demonstrating the embedding model's compression of nonlinear information. In the future, other sources of health care data can be integrated into the current diagnosis-based framework. Other researchers can apply our publicly shared embedding model to their own diagnosis data. CONCLUSIONS: We envision a wide range of applications for Pat2Vec that will improve health care quality, including personalized prevention and signal detection in patient surveillance as well as health care resource planning based on subcohorts identified by our data-driven machine learning framework.

German Index of Socioeconomic Deprivation (GISD): Revision, update and applications.

Background: Regional deprivation indices enable researchers to analyse associations between socioeconomic disadvantages and health outcomes even if the health data of interest does not include information on the individuals' socioeconomic position. This article introduces the recent revision of the German Index of Socioeconomic Deprivation (GISD) and presents associations with life expectancy as well as age-standardised cardiovascular mortality rates and cancer incidences as applications. Methods: The GISD measures the level of socioeconomic deprivation using administrative data of education, employment, and income situations at the district and municipality level from the INKAR database. The indicators are weighted via principal component analyses. The regional distribution is depicted cartographically, regional level associations with health outcomes are presented. Results: The principal component analysis indicates medium to high correlations of the indicators with the index subdimensions. Correlation analyses show that in districts with the lowest deprivation, the average life expectancy of men is approximately six years longer (up to three years longer for women) than for those from districts with the highest deprivation. A similar social gradient is observed for cardiovascular mortality and lung cancer incidence. Conclusions: The GISD provides a valuable tool to analyse socioeconomic inequalities in health conditions, diseases, and their determinants at the regional level.

Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers.

Several determinants are suspected to be causal drivers for new cases of COVID-19 infection. Correcting for possible confounders, we estimated the effects of the most prominent determining factors on reported case numbers. To this end, we used a directed acyclic graph (DAG) as a graphical representation of the hypothesized causal effects of the determinants on new reported cases of COVID-19. Based on this, we computed valid adjustment sets of the possible confounding factors. We collected data for Germany from publicly available sources (e.g. Robert Koch Institute, Germany's National Meteorological Service, Google) for 401 German districts over the period of 15 February to 8 July 2020, and estimated total causal effects based on our DAG analysis by negative binomial regression. Our analysis revealed favorable effects of increasing temperature, increased public mobility for essential shopping (grocery and pharmacy) or within residential areas, and awareness measured by COVID-19 burden, all of them reducing the outcome of newly reported COVID-19 cases. Conversely, we saw adverse effects leading to an increase in new COVID-19 cases for public mobility in retail and recreational areas or workplaces, awareness measured by searches for "corona" in Google, higher rainfall, and some socio-demographic factors. Non-pharmaceutical interventions were found to be effective in reducing case numbers. This comprehensive causal graph analysis of a variety of determinants affecting COVID-19 progression gives strong evidence for the driving forces of mobility, public awareness, and temperature, whose implications need to be taken into account for future decisions regarding pandemic management.

Social differences in mortality and life expectancy in Germany. Current situation and trends.

Social differences in mortality and life expectancy are a clear demonstration of the social and health-related inequalities that exist within a particular population. According to data from the Socio-Economic Panel (SOEP) for the period ranging from 1992 to 2016, 13% of women and 27% of men in the lowest income group died before the age of 65; the same can be said for just 8% of women and 14% of men in the highest income group. The difference between mean life expectancy at birth among the lowest and highest income groups is 4.4 years for women and 8.6 years for men. Substantial differences also exist between income groups regarding further life expectancy at the age of 65: women in the lowest income group have a 3.7-year shorter life expectancy than women in the highest income group. Similarly, men in the lowest income group have a 6.6-year shorter life expectancy than men in the highest income group. Finally, results from the trend analyses suggest that social differences in life expectancy have remained relatively stable over the last 25 years.

[Time trends of occupational differences in smoking behaviour of employed men and women in Germany : Results of the 1999-2013 microcensus]. / Zeitliche Entwicklung berufsgruppenspezifischer Unterschiede im Rauchverhalten von erwerbstätigen Männern und Frauen in Deutschland : Ergebnisse des Mikrozensus 1999­2013.

BACKGROUND: Studies show that people with a low occupational status are more likely to smoke than those with a high occupational status. Against the background of a general decline in tobacco consumption, time trends of occupational differences in smoking behaviour of employed men and women in Germany were examined. METHODS: The analyses were based on the last five waves of the German microcensus that included questions about smoking (1999, 2003, 2005, 2009 and 2013), taking only employed men and women aged 18-64 years into account (n = 688,746). Information on occupational position was summarised using international classifications of occupation (ISEI-08 and ISCO-08). Raw and model-based standardized prevalence estimates of current smoking were calculated. RESULTS: Between 1999 and 2013, the proportion of smokers in the working population fell from 39.9 to 34.4% (men) and from 30.6 to 26.8% (women). Differences between occupational status groups increased significantly: while the prevalence of smoking among employees with high occupational status decreased, it remained largely stable in the low status group. In 2013, the occupations with the highest proportion of smokers were waste disposal workers, cleaning staff, unskilled workers, truck and bus drivers, salespeople and cashiers, and employees in the catering industry. CONCLUSION: Since the beginning of the 2000s, the prevalence of smoking in the working population has declined. The strengthened tobacco control policy - e. g. the establishment of smoke-free workplace laws - might have contributed to this trend. In the context of workplace health promotion, tobacco prevention and cessation measures should be targeted at those professions in which smoking is still particularly common.

Gender inequalities in the association between area deprivation and perceived social support: a cross-sectional multilevel analysis at the municipality level in Germany.

OBJECTIVES: To investigate the association between area deprivation at municipality level with low perceived social support, independent of individual socioeconomic position and demographic characteristics. To assess whether there are gender inequalities in this association. DESIGN: Cross-sectional multilevel analysis of survey data. SETTING: Germany. PARTICIPANTS: 3350 men and 3665 women living in 167 municipalities throughout Germany participating in the 'German Health Interview and Examination Survey for Adults' (DEGS1 2008-2011) as part of the national health monitoring. OUTCOME: Perceived social support as measured by Oslo-3 Social Support Scale. RESULTS: Prevalence of low perceived social support was 11.4% in men and 11.1% in women. Low social support was associated in men and women with sociodemographic characteristics that indicate more disadvantaged living situations. Taking these individual-level characteristics into account, municipal-level deprivation was independently associated with low perceived social support in men (OR for the most deprived quintile: 1.80 (95% CI 1.14 to 2.84)), but not in women (OR 1.22 (95% CI 0.78 to 1.90)). CONCLUSION: The results of our multilevel analysis suggest that there are gender inequalities in the association of municipal-level deprivation with the prevalence of low perceived social support in Germany independent of individual socioeconomic position. Community health interventions aiming at promotion of social support among residents might profit from a further understanding of the observed gender differences.

Post-millennial trends of socioeconomic inequalities in chronic illness among adults in Germany.

OBJECTIVE: Time trends in health inequalities have scarcely been studied in Germany as only few national data have been available. In this paper, we explore trends in socioeconomic inequalities in the prevalence of chronic illness using Germany-wide data from four cross-sectional health surveys conducted between 2003 and 2012 (n = 54,197; ages 25-69 years). We thereby expand a prior analysis on post-millennial inequality trends in behavioural risk factors by turning the focus to chronic illness as the outcome measure. The regression-based slope index of inequality (SII) and relative index of inequality (RII) were calculated to estimate the extent of absolute and relative socioeconomic inequalities in chronic illness, respectively. RESULTS: The results for men revealed a significant increase in the extent of socioeconomic inequalities in chronic illness between 2003 and 2012 on both the absolute and relative scales (SII2003 = 0.06, SII2012 = 0.17, p-trend = 0.013; RII2003 = 1.18, RII2012 = 1.57, p-trend = 0.013). In women, similar increases in socioeconomic inequalities in chronic illness were found (SII2003 = 0.05, SII2012 = 0.14, p-trend = 0.022; RII2003 = 1.14, RII2012 = 1.40, p-trend = 0.021). Whereas in men this trend was driven by an increasing prevalence of chronic illness in the low socioeconomic group, the trend in women was predominantly the result of a declining prevalence in the high socioeconomic group.

Socioeconomic status and subjective social status measurement in KiGGS Wave 2.

This article describes the method applied to measure socioeconomic status (SES) and subjective social status (SSS) in the current wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2), which was conducted over three years between 2014 and 2017. The composite multidimensional SES index was calculated as a sum of point scores for the parents' education level, occupational status and equivalised disposable income. SSS was assessed in the 11 to 17 year age group using a German version of the MacArthur Scale for children and adolescents. To demonstrate the use of both instruments, we present examples that highlight the association between SES and SSS with the general health of children and adolescents in the 3 to 17 and/or 11 to 17 age groups. Over 95% of parents rated the general health of their children as 'very good' or 'good'. However, the analyses clearly reveal that children and adolescents from families with low SES and SSS have poorer general health than their better-off peers. Even when mutually adjusted, both low SES and SSS are independently associated with poorer general health. In addition to the SES index, studies on the health of children and adolescents should therefore also consider SSS. In this way, additional aspects of the socioeconomic conditions of families can be taken into account.

Health inequalities in Germany and in international comparison: trends and developments over time.

Social epidemiological research has consistently demonstrated that people with a low socioeconomic status are particularly at risk of diseases, health complaints and functional limitations, and die at younger ages than those with a higher socioeconomic status. Greater stresses and strains in the workplace, family and living environment are under discussion as possible explanations. Health-related behaviours, psycho-social factors and personal resources, which are important in coping with everyday demands, certainly also play a role. From a public health and health policy perspective, reducing these health inequalities is an important goal. Insights into developments and trends in health inequalities over time can contribute towards highlighting new and emerging problems, and can thus help identify possible target groups and settings for relevant interventions. At the same time, these insights provide a basis upon which the success of policies and programmes that have already been implemented can be analysed and measured. Against this background, this review examines how health inequalities in Germany have developed over the last 20 to 30 years and places its findings within the context of the latest international research in this field.

[Potentials in the regionalization of health indicators using small-area estimation methods : Exemplary results based on the 2009, 2010 and 2012 GEDA studies]. / Möglichkeiten der Regionalisierung von Gesundheitsindikatoren mit Small-Area-Estimation : Exemplarische Ergebnisse auf Basis der GEDA-Studien 2009, 2010 und 2012.

Nationwide health surveys can be used to estimate regional differences in health. Using traditional estimation techniques, the spatial depth for these estimates is limited due to the constrained sample size. So far - without special refreshment samples - results have only been available for larger populated federal states of Germany. An alternative is regression-based small-area estimation techniques. These models can generate smaller-scale data, but are also subject to greater statistical uncertainties because of the model assumptions. In the present article, exemplary regionalized results based on the studies "Gesundheit in Deutschland aktuell" (GEDA studies) 2009, 2010 and 2012, are compared to the self-rated health status of the respondents. The aim of the article is to analyze the range of regional estimates in order to assess the usefulness of the techniques for health reporting more adequately. The results show that the estimated prevalence is relatively stable when using different samples. Important determinants of the variation of the estimates are the achieved sample size on the district level and the type of the district (cities vs. rural regions). Overall, the present study shows that small-area modeling of prevalence is associated with additional uncertainties compared to conventional estimates, which should be taken into account when interpreting the corresponding findings.

[What potential do geographic information systems have for population-wide health monitoring in Germany? : Perspectives and challenges for the health monitoring of the Robert Koch Institute]. / Welches Potenzial haben Geoinformationssysteme für das bevölkerungsweite Gesundheitsmonitoring in Deutschland? : Perspektiven und Herausforderungen für das Gesundheitsmonitoring am Robert Koch-Institut.

Geographic information systems (GISs) are computer-based systems with which geographical data can be recorded, stored, managed, analyzed, visualized and provided. In recent years, they have become an integral part of public health research. They offer a broad range of analysis tools, which enable innovative solutions for health-related research questions. An analysis of nationwide studies that applied geographic information systems underlines the potential this instrument bears for health monitoring in Germany. Geographic information systems provide up-to-date mapping and visualization options to be used for national health monitoring at the Robert Koch Institute (RKI). Furthermore, objective information on the residential environment as an influencing factor on population health and on health behavior can be gathered and linked to RKI survey data at different geographic scales. Besides using physical information, such as climate, vegetation or land use, as well as information on the built environment, the instrument can link socioeconomic and sociodemographic data as well as information on health care and environmental stress to the survey data and integrate them into concepts for analyses. Therefore, geographic information systems expand the potential of the RKI to present nationwide, representative and meaningful health-monitoring results. In doing so, data protection regulations must always be followed. To conclude, the development of a national spatial data infrastructure and the identification of important data sources can prospectively improve access to high quality data sets that are relevant for the health monitoring.

Individual and Regional Determinants for Physical Therapy Utilization in Germany: Multilevel Analysis of National Survey Data.

BACKGROUND: Physical therapy is included in many clinical guidelines and is a commonly used health service. However, access to its benefits should not strongly depend on social or demographic factors. OBJECTIVE: The present study used the Andersen model to explain to what extent physical therapy utilization in Germany depends on factors beyond medical need. METHODS: The German Health Interview and Examination Survey for Adults (DEGS, 2008-2011; target population, 18-79 years) is part of the German health-monitoring system. Two-stage stratified cluster sampling resulted in a sample of 8152 participants. Data were matched with district-related information on social structures and service supply. Following Andersen's Behavioral Model of Health Services Use, this study identified predisposing, enabling, and need factors for physical therapy utilization using multilevel logistic regression analyses. RESULTS: Physical therapy was used by 23.4% (95% CI: 22.0-24.8) of the German population within one year, with a higher proportion of females (26.8%; 95% CI: 25.1-28.6) than males (19.9%; 95% CI: 18.1-21.8) and an increase with age. Beyond medical need, physical therapy utilization depended on higher education, migrant background, nonsmoking (predisposing), social support, higher income, private health insurance, and gatekeeping service contact (enabling). Variation among districts partly reflected regional supply. LIMITATIONS: Because the present study was cross-sectional, its findings provide representative information on physical therapy use but do not establish final causal links or identify whether utilization or supply in certain districts or population groups is adequate. CONCLUSIONS: Whether certain regions are under- or overserved and whether further regulations are needed is of political interest. Physicians and therapists should develop strategies to improve both adherence of hard-to-reach groups and supply in low-supply regions.

Corrigendum: Regional health differences - developing a socioeconomic deprivation index for Germany.

[This corrects the article on p. 98-114 in vol. 2.].

Regional health differences - developing a socioeconomic deprivation index for Germany.

For Germany, regional differences for various health indicators, which are also associated with socioeconomic factors, have been documented. This article aims to develop a regional socioeconomic deprivation index for Germany that (1) can be used to analyse regional socioeconomic inequalities in health and (2) provides a basis for explaining regional health differences in Germany. The core data stem from the INKAR (indicators and maps on spatial and urban development in Germany and Europe) database compiled by Germany's Federal Institute for Research on Building, Urban Affairs and Spatial Development. Factor analysis is used for indexing and the weighting of indicators for the three dimensions of education, occupation and income. The German Index of Socioeconomic Deprivation (GISD) is generated at the levels of associations of municipalities, administrative districts and administrative regions for the years 1998, 2003, 2008 and 2012. Aggregate data and individual data from the German Health Update 2014/2015-EHIS (GEDA 2014/2015-EHIS) study are used to analyse associations between the index and selected health indicators. For around two thirds of the causes of death, the German Index of Socioeconomic Deprivation reveals significant socioeconomic inequalities at the level of Germany's administrative regions. At district level, life expectancy in the bottom fifth of districts presenting the highest levels of deprivation is, depending on the observation period, 1.3 years lower for women and 2.6 years lower for men in comparison to the upper fifth of districts presenting the lowest levels of deprivation. The index can explain 45.5% and 62.2% of regional differences in life expectancy for women and men, respectively. Moreover, the population in regions characterised by high levels of deprivation has significantly higher rates of smokers, engages less frequently in leisure-time physical activities and is more often obese. The German Index of Socioeconomic Deprivation illustrates regional socioeconomic differences at different spatial levels and contributes to explaining regional health differences. This index is intended for use in research as well as by federal and federal state health reporting systems and should enable access to new sources of data for investigating the links between social inequalities and health in Germany.

Corrigendum: The utilization of psychiatric and psychotherapeutic services in Germany - individual determinants and regional differences.

[This corrects the article on p. 3-22 in vol. 2.].

The utilization of psychiatric and psychotherapeutic services in Germany - individual determinants and regional differences.

In Germany, the provision of health services to people with mental disorders is an issue that is subject to controversial debate. On the one hand, regional differences exist in the distribution of psychotherapists in Germany. On the other hand, patients are often willing to accept the extra effort of having to travel further in order to access treatment even in case of a low supply. Thus, in addition to issues of access, an analysis of care provision also needs to take into account the actual level of services utilization. The present paper analyses the utilization of outpatient psychiatric and psychotherapeutic services and identifies individual and regional determinants. The German Health Update (GEDA) is a nationwide survey of the adult population that is conducted by the Robert Koch Institute in the context of its population-based health monitoring. The GEDA 2014/2015-EHIS study (n=24,016) is based on a two-stage stratified random sample drawn from the population registers of 301 local authorities in Germany. The main outcome is the utilization of psychotherapeutic or psychiatric services during the last 12 months. In addition to the consideration of individual factors, the survey data was combined with information describing the regional distribution of providers of outpatient psychotherapeutic and neurological care. The data was analysed using logistic multi-level regression. In Germany, 11.3% of women and 8.1% of men report that they have used psychotherapeutic or psychiatric treatment within the last 12 months. Among respondents with current depressive symptoms, these rates are 35.0% in women and 31.0% in men. This means that approximately two thirds of people with current depressive symptoms do not seek the services of these health professionals during this period. Apart from current depressive symptoms the utilization of psychiatric and psychotherapeutic services is associated with not living with a partner and with low levels of social support. Furthermore, in regions with a high density of care providers, the proportion of people with current depressive symptoms using such services is about 15 percentage points higher than in regions with a low density. The conditions for the utilization of the respective services should not only be improved by increasing the number of care providers, but also by implementing accompanying measures. Innovations in health care aiming at rapid and low-threshold access as well as approaches for a better cooperation between primary and specialist care should therefore be evaluated regarding their contribution to an improved early treatment.

Perceived exposure to hazardous working conditions in Germany.

Data on the prevalence of perceived exposure to hazardous working conditions were gathered for the GEDA 2014/2015-EHIS study using a simple graduated question. Approximately one-fifth of people in employment state that they face serious or very serious occupational health hazards. However, women (18.6%) are significantly less likely to have this perception than men (27.0%). The differences between women and men can be explained by the variation in working hours and by the continued gender specific division of the labour market (segregation). There are pronounced differences among men with regard to educational and vocational qualifications, with lower qualified men viewing their employment as posing a higher risk to their health than higher qualified men; no similar differences exist between women. Finally, perceived health risks are highest among women and men in the passenger and freight transport sectors. The results of this study underline the importance of occupational safety and workplace health promotion.

[Employment, family and health in men of working age in Germany : Results of the GEDA studies 2009-2012]. / Erwerbsarbeit, Familie und Gesundheit bei Männern im erwerbsfähigen Alter in Deutschland : Ergebnisse der GEDA-Studien 2009 bis 2012.

BACKGROUND: Today's men want to participate in their children's upbringing more than in the past, but they are heavily involved in their occupation at the same time. This article describes the significance of parenthood, partnership and occupation in relation to health and health behaviours among men of working age in Germany. DATA: We summarised data from the "German Health Update" (GEDA) studies conducted in 2009, 2010 and 2012. Data on 18,465 men aged 18-64 years were available, 11,429 of which were living with children. We included mental health problems, general health awareness, sports activity and smoking as outcomes. RESULTS: Full-time employees working more than 48 h per week and unemployed persons had mental health problems more frequently (OR 1.44 and 2.35, p < 0.05) than full-time employees working 48 h or fewer. Similar associations can be shown for health awareness, physical activity and smoking. Concerning partnership and parenthood, the associations were considerably weaker: men living together with children and a partner in the household were overall less burdened and their behaviour was also healthier than single men without children. After simultaneous consideration of employment status, parenthood and partnership, our results show that the unemployed and employees with long working hours were the most burdened. DISCUSSION: The results provide supporting evidence regarding health problems of men in Germany due to unemployment and long working hours that are of importance for their health whether they are living with a partner and/or with children or not. The association between health and occupation was stronger than between health and fatherhood or partnership.

Occupational Injuries in Germany: Population-Wide National Survey Data Emphasize the Importance of Work-Related Factors.

Unintentional injuries cause much of the global mortality burden, with the workplace being a common accident setting. Even in high-income economies, occupational injury figures remain remarkably high. Because risk factors for occupational injuries are prone to confounding, the present research takes a comprehensive approach. To better understand the occurrence of occupational injuries, sociodemographic factors and work- and health-related factors are tested simultaneously. Thus, the present analysis aims to develop a comprehensive epidemiological model that facilitates the explanation of varying injury rates in the workplace. The representative phone survey German Health Update 2010 provides information on medically treated occupational injuries sustained in the year prior to the interview. Data were collected on sociodemographics, occupation, working conditions, health-related behaviors, and chronic diseases. For the economically active population (18-70 years, n = 14,041), the 12-month prevalence of occupational injuries was calculated with a 95% confidence interval (CI). Blockwise multiple logistic regression was applied to successively include different groups of variables. Overall, 2.8% (95% CI 2.4-3.2) of the gainfully employed population report at least one occupational injury (women: 0.9%; 95% CI 0.7-1.2; men: 4.3%; 95% CI 3.7-5.0). In the fully adjusted model, male gender (OR 3.16) and age 18-29 (OR 1.54), as well as agricultural (OR 5.40), technical (OR 3.41), skilled service (OR 4.24) or manual (OR 5.12), and unskilled service (OR 3.13) or manual (OR 4.97) occupations are associated with higher chances of occupational injuries. The same holds for frequent stressors such as heavy carrying (OR 1.78), working in awkward postures (OR 1.46), environmental stress (OR 1.48), and working under pressure (OR 1.41). Among health-related variables, physical inactivity (OR 1.47) and obesity (OR 1.73) present a significantly higher chance of occupational injuries. While the odds for most work-related factors were as expected, the associations for health-related factors such as smoking, drinking, and chronic diseases were rather weak. In part, this may be due to context-specific factors such as safety and workplace regulations in high-income countries like Germany. This assumption could guide further research, taking a multi-level approach to international comparisons.

[Unemployment and Health: An overview of current research results and data from the 2010 and 2012 German Health Update]. / Arbeitslosigkeit und ihre Auswirkungen auf die Gesundheit : Ein Überblick zum Forschungsstand und zu aktuellen Daten der Studien GEDA 2010 und GEDA 2012.

This study analyzes the association of unemployment and health using national and international research data. It is based on data from the 2010 and 2012 German Health Update (GEDA), conducted by the Robert Koch Institute. For our analysis, participants aged from 18 to 64 years were selected if they gave information on their unemployment experiences within the five years prior to the study (n = 31,955). The results show that the self-rated health of the unemployed in Germany is significantly worse compared to the workforce. Additionally, the unemployed suffer from medically diagnosed depression. The association of unemployment and health is more pronounced in men than in women for all major outcomes. When compared to workers of the same age, the unemployed smoke more frequently and do less sports. Regarding alcohol consumption, no systematic relationship was found. While the use of medical screening measures for the early detection of diseases is lower among the unemployed than among the employed, they visit general practitioners and hospitals more often than their counterparts. Overall, our findings suggest that unemployed people should remain an important target group of preventive measures in Germany and that the corresponding measures should be intensified.