Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey.

BACKGROUND: Differences in type 2 diabetes risk have been reported for several sociodemographic determinants including sex/gender or socioeconomic status. From an intersectional perspective, it is important to not only consider the role of social dimensions individually, but also their intersections. This allows for a deeper understanding of diabetes risk and preventive needs among diverse population groups. METHODS: As an intersectionality-informed approach, multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was used in a population-based sample of adults without known diabetes in Germany from the cross-sectional survey "Disease knowledge and information needs- Diabetes mellitus (2017)". Diabetes risk was assessed by the German Diabetes Risk Score (GDRS, range 0-122 points), estimating the individual risk of developing type 2 diabetes within the next 5 years based on established self-reported risk factors. Nesting individuals in 12 intersectional strata defined by combining sex/gender, educational level, and history of migration, we calculated measures to quantify the extent to which individual differences in diabetes risk were explained at strata level, and how much this was due to additive or multiplicative intersectional effects of social determinants. RESULTS: Drawing on data of 2,253 participants, we found good discriminatory accuracy of intersectional strata (variance partition coefficient = 14.00% in the simple intersectional model). Model-predicted GDRS means varied between 29.97 (corresponding to a "low risk" of < 2%) in women with high educational level and a history of migration, and 52.73 ("still low risk" of 2-5%) in men with low educational level without a history of migration. Variance in GDRS between strata was mainly explained by additive effects of social determinants (proportional change in variance to intersectional interaction model = 77.95%) with being male and having low educational level being associated with higher GDRS. There was no evidence of multiplicative effects in individual strata. CONCLUSIONS: Type 2 diabetes risk differed between intersectional strata and can to some extent be explained at strata level. The role of intersectional effects was minor and needs to be further investigated. Findings suggest a need for specific preventive measures targeted at large groups with increased diabetes risk, such as men and persons with low educational level.

Perceived Chronic Stress Is Associated With the German Diabetes Risk Score Among Adults Without Known Diabetes in Germany.

OBJECTIVE: There is evidence that psychological distress increases the risk of type 2 diabetes (T2D), but implications for prevention remain elusive. We examined the association between chronic stress and the German Diabetes Risk Score (GDRS) among adults without diabetes in Germany. METHODS: The study population consisted of 4654 persons aged 18 to 64 years without known diabetes drawn from the German Health Interview and Examination Survey for Adults (2008-2011). The predicted 5-year T2D risk (in percent) was estimated using the GDRS. Perceived chronic stress was assessed by the Screening Scale of the Trier Inventory for the Assessment of Chronic Stress and categorized into "up to average," "above average," and "high." The cross-sectional association of chronic stress with log-transformed GDRS (expressed as geometric mean ratio [GMR]) was analyzed in multivariable linear regression models. Covariables included age, sex, community size, region, educational level, living alone, social support, depression, and alcohol use. RESULTS: The mean predicted 5-year T2D risk rates were 2.7%, 2.9%, and 3.0% for chronic stress up to average, above average, and high chronic stress, respectively. Adjusted mean predicted 5-year risk was significantly higher among persons with chronic stress above average (GMR = 1.10, 95% confidence interval = 1.02-1.19) and high stress (GMR = 1.21, 95% CI = 1.06-1.39) compared with persons with chronic stress up to average. No interactions with sex or other covariables were found. CONCLUSIONS: Perceived chronic stress is independently associated with an increased predicted T2D risk in cross-sectional analysis and should be considered as T2D risk factor in longitudinal studies.

Long-term health consequences among individuals with SARS-CoV-2 infection compared to individuals without infection: results of the population-based cohort study CoMoLo Follow-up.

BACKGROUND: Most of the previous studies on health sequelae of COVID-19 are uncontrolled cohorts and include a relatively short follow-up. This population-based multi-center cohort study examined health consequences among individuals about 1 to 1.5 years after SARS-CoV-2 infection compared with non-infected. METHODS: The study population consisted of adults (≥ 18 years) from four municipalities particularly affected by the COVID-19 pandemic in the year 2020 who completed a detailed follow-up questionnaire on health-related topics. Exposure was the SARS-CoV-2 infection status (based on IgG antibodies, PCR test, or physician-diagnosis of COVID-19) at baseline (May to December 2020). Outcomes assessed at follow-up (October 2021 to January 2022; mean: 452 days) included recurrent or persistent health complaints, incident diseases, health-related quality of life (PROMIS-29), subjective health, and subjective memory impairment. Logistic and linear regression models were adjusted for baseline sociodemographic and lifestyle characteristics (age, sex, municipality, education, smoking, body mass index), pre-existing health conditions (chronic disease/health problem, health-related activity limitation, depressive/anxiety disorder), and follow-up time. RESULTS: Among 4817 participants, 350 had a SARS-CoV-2 infection at baseline and 4467 had no infection at baseline or during follow-up. Those with an infection statistically significantly more often reported 7 out of 18 recurrent or persistent health complaints at follow-up: smell/taste disorders (12.8% vs. 3.4%, OR 4.11), shortness of breath (23.0% vs. 9.5%, 3.46), pain when breathing (4.7% vs. 1.9%, 2.36), fatigue (36.9% vs. 26.1%, 1.76), weakness in legs (12.8% vs. 7.8%, 1.93), myalgia/joint pain (21.9% vs. 15.1%, 1.53) and cough (30.8% vs. 24.8%, 1.34) and 3 out of 6 groups of incident diseases: liver/kidney (2.7% vs. 0.9%, 3.70), lung (3.2% vs. 1.1%, 3.50) and cardiovascular/metabolic (6.5% vs. 4.0%, 1.68) diseases. Those with an infection were significantly more likely to report poor subjective health (19.3% vs. 13.0%, 1.91), memory impairment (25.7% vs. 14.3%, 2.27), and worse mean scores on fatigue and physical function domains of PROMIS-29 than non-infected. CONCLUSION: Even after more than one year, individuals with SARS-CoV-2 infection showed an increased risk of various health complaints, functional limitations, and worse subjective well-being, pointing toward profound health consequences of SARS-CoV-2 infection relevant for public health.

[Algorithm for the Classification of Type 1 and Type 2 Diabetes Mellitus for the Analysis of Routine Data]. / Algorithmus zur Unterscheidung von Diabetes mellitus Typ 1 und Typ 2 bei der Analyse von Routinedaten.

BACKGROUND: Diabetes mellitus is a disease of high public health relevance. To estimate the temporal development of prevalence, routine data of statutory health insurances (SHI) are being increasingly used. However, these data are primarily collected for billing purposes and the case definition of specific diseases remains challenging. In this study, we present an algorithm for differentiation of diabetes types analyzing SHI routine data. METHODS: The basis for the analysis was an age and sex-stratified random sample of persons of the Barmer SHI with a continuous insurance duration from 2010 to 2018 in the magnitude of 1% of the German population. Diabetes was defined in the reporting year 2018, as documentation of (1) a "confirmed" ICD diagnosis E10.- to E14.- in at least two quarters, (2) a "confirmed" ICD diagnosis E10.- to E14.- in one quarter with an additional prescription of an antidiabetic drug (ATC codes A10), or (3) an ICD diagnosis E10.- to E14.- in the inpatient sector, outpatient surgery, or work disability. Individuals were assigned to a diabetes type based on the specific ICD diagnosis E10.- to E14.- and prescribed medications, differentiated by insulin and other antidiabetics. Still unclear or conflicting constellations were assigned on the basis of the persons' age or the frequency and observation of the diagnosis documentation over more than one year. The participation in a disease management program was considered in a sensitivity analysis. RESULTS: The prevalence of documented diabetes in the Barmer sample was 8.8% in 2018. Applying the algorithm, 98.5% of individuals with diabetes could be classified as having type 1 diabetes (5.5%), type 2 diabetes (92.6%), or another specific form of diabetes (0.43%). Thus, the prevalence was 0.48% for type 1 diabetes and 8.1% for type 2 diabetes in 2018. CONCLUSION: The vast majority of people with diabetes can be classified by their diabetes type on the basis of just a few characteristics, such as diagnoses, drug prescription, and age. Further studies should assess the external validity by comparing the results with primary data. The algorithm enables the analysis of important epidemiological indicators and the frequency of comorbidities based on routine data differentiated by type 1 and type 2 diabetes, which should be considered in the surveillance of diabetes in the future.

[Health of people with selected citizenships in Germany: prevalence of non-communicable diseases and associated social as well as migration-related factors]. / Gesundheit von Menschen mit ausgewählten Staatsangehörigkeiten in Deutschland: Prävalenzen nichtübertragbarer Erkrankungen und damit assoziierte soziale sowie migrationsbezogene Faktoren.

BACKGROUND: Health chances and risks of people with a history of migration vary according to a wide range of factors. This paper aims to describe the health of people with selected citizenships on the basis of four non-communicable diseases (chronic disease or long-term health problem in general, coronary heart disease, diabetes mellitus, depression) and to identify associated social and migration-related factors. METHODS: Analyses are based on data from the multilingual and multimodal interview survey "German Health Update: Fokus" (GEDA Fokus), which was conducted among 18- to 79-year-olds with Croatian, Italian, Polish, Syrian, or Turkish citizenship living in Germany (November 2021 to May 2022). Poisson regressions were used to calculate prevalence ratios and 95% confidence intervals to examine the association between the individual indicators and social as well as migration-related characteristics. RESULTS: In particular, a low sense of belonging to the society in Germany and self-reported experiences of discrimination in everyday life are associated with higher prevalence of a chronic disease or long-term health problem and - according to self-reported medical diagnoses - with depression and partly with coronary heart disease and diabetes. DISCUSSION: Given the importance of subjective sense of belonging to the society in Germany and self-reported experience of discrimination for the health outcomes studied, the results point to health inequalities among people with selected citizenships that may indicate mechanisms of social exclusion.

Sex-specific impact of major depressive disorder on 12-year change in glycaemic status: Results from a nationwide cohort study of adults without diabetes in Germany.

AIMS: There is evidence for an increased type 2 diabetes (T2D) risk associated with depression, but its role for diabetes prevention remains unclear. This study aimed to add insight by investigating the impact of major depressive disorder (MDD) on prospective glycaemic changes. METHODS: The study was based on a cohort of n = 1,766 adults without diabetes (776 men, 990 women; 18-65 years of age) who participated in the mental health supplement of the German National Health Interview and Examination Survey (GNHIES98-MHS, 1997-1999) and in a follow-up survey (DEGS1, 2008-2011). Glycaemic status was defined as normoglycaemia [HbA1c < 39 mmol/mol (<5.7%)], prediabetes [39 ≤ HbA1c < 48 mmol/mol (5.7-6.4%)] and diabetes [HbA1c ≥ 48 mmol/mol (≥ 6.5%), diagnosed diabetes, or antidiabetic medication], and glycaemic changes categorized as 'remission', 'stability' and 'progression'. Baseline MDD was assessed via a modified German version of the WHO Composite International Diagnostic Interview. Multivariable logistic regressions were applied to analyse the association of MDD with glycaemic changes and incident T2D, adjusting for socio-demographics, lifestyle conditions, chronic diseases, antidepressant use and mental health care. RESULTS: MDD prevalence was 21.4% for women and 8.9% for men. Among women, MDD was associated with a lower chance for remission (RRR 0.43; 95% CI 0.23, 0.82). Among men, MDD was not significantly related to glycaemic changes. MDD had no significant effect on incident T2D (men: OR 1.58; 0.55, 4.52; women: OR 0.76; 0.37, 1.58). CONCLUSIONS: Findings of the current study highlight the role of depression in T2D prevention, particularly among women.

Diabetes free life expectancy and years of life lost associated with type 2 diabetes: projected trends in Germany between 2015 and 2040.

BACKGROUND: Type 2 diabetes (T2D) causes substantial disease burden and is projected to affect an increasing number of people in coming decades. This study provides projected estimates of life years free of type 2 diabetes (T2D) and years of life lost ([Formula: see text]) associated with T2D for Germany in the years 2015 and 2040. METHODS: Based on an illness-death model and the associated mathematical relation between prevalence, incidence and mortality, we projected the prevalence of diagnosed T2D using currently available data on the incidence rate of diagnosed T2D and mortality rates of people with and without diagnosed T2D. Projection of prevalence was achieved by integration of a partial differential equation, which governs the illness-death model. These projected parameters were used as input values to calculate life years free of T2D and [Formula: see text] associated with T2D for the German population aged 40 to 100 years in the years 2015 and 2040, while accounting for different assumptions on future trends in T2D incidence and mortality. RESULTS: Assuming a constant incidence rate, women and men at age 40 years in 2015 will live approximately 38 years and 33 years free of T2D, respectively. Up to the year 2040, these numbers are projected to increase by 1.0 years and 1.3 years. Assuming a decrease in T2D-associated excess mortality of 2% per year, women and men aged 40 years with T2D in 2015 will be expected to lose 1.6 and 2.7 years of life, respectively, compared to a same aged person without T2D. In 2040, these numbers would reduce by approximately 0.9 years and 1.6 years. This translates to 10.8 million and 6.4 million [Formula: see text] in the German population aged 40-100 years with prevalent T2D in 2015 and 2040, respectively. CONCLUSIONS: Given expected trends in mortality and no increase in T2D incidence, the burden due to premature mortality associated with T2D will decrease on the individual as well as on the population level. In addition, the expected lifetime without T2D is likely to increase. However, these trends strongly depend on future improvements of excess mortality associated with T2D and future incidence of T2D, which should motivate increased efforts of primary and tertiary prevention.

Psychometric properties of a nationwide survey for adults with and without diabetes: the "disease knowledge and information needs - diabetes mellitus (2017)" survey.

BACKGROUND: In order to close existing information gaps on diabetes-related health perceptions, diabetes knowledge, and information-seeking behaviors among adults in Germany, a representative population-based survey targeting the German-speaking population 18 years and older with and without diabetes was conducted. The aim of the present work was to analyze the psychometric properties of the multi-item scales, applied in the survey in order to provide guidance for decisions on the use of these measurements for future research. METHODS: Based on data from participants who completed the final survey (N = 1479 with known diabetes; N = 2327 without known diabetes) reliability and unidimensionality of multi-item scales were tested using Cronbach's Alpha and confirmatory factor analysis (CFA). RESULTS: Psychometric properties and model fit varied across scales. Cronbach's alpha values ranged from very good to unacceptable. Model fit indices suggested evidence of a single underlying factor in some but not all scales. Adequate reliability and at least mediocre model fit were found for diabetes distress and patient-provider-relationship in people with diabetes and for perceived level of information in individuals without diabetes. Scales revealing inacceptable reliability values or not suggesting unidimensionality were e.g. diabetes-related stigmatization in both individuals with and without diabetes, self-efficacy in individuals with diabetes, and perceived personal control in those without diabetes. CONCLUSION: Based on results of the current study, some of the scales applied in the survey can be recommended for present and future analyses of the survey data and for future surveys (e.g. diabetes distress, patient-provider-relationship in people with diabetes). Other scales should be interpreted and used with caution (e.g. depressive symptoms in people with diabetes) while others should be reformulated, interpreted only as single items, or need further investigation (e.g. diabetes-related stigmatization in people with and without diabetes). Findings provide researchers the opportunity to evaluate diabetes-specific scales in population-based studies of adults with and without diabetes.

[Prevalence and incidence of documented diabetes based on health claims data-reference analysis for diabetes surveillance in Germany]. / Prävalenz und Inzidenz des dokumentierten Diabetes mellitus ­ Referenzauswertung für die Diabetes-Surveillance auf Basis von Daten aller gesetzlich Krankenversicherten.

BACKGROUND: The prevalence and incidence of documented diabetes are two essential indicators intended to be reported on a periodic basis within the framework of diabetes surveillance in Germany. METHODOLOGY: Data provided based on the Data Transparency Act were analyzed. The data contain information on outpatient and inpatient care for all approximately 70 million persons with statutory health insurance. The case definition for the prevalence of documented diabetes comprises a confirmed outpatient diagnosis in at least two quarters of a year or an inpatient diagnosis in at least one quarter of a year in accordance with ICD-10 codes E10.- to E14.-. The incidence was calculated based on the same definition and with one year of diagnosis-free lead time. RESULTS: In 2011, a prevalence of 9.7% (women: 9.4%, men: 10.1%) was observed for persons with statutory health insurance. There are considerable differences in prevalence between the federal states and the maximum gap is 7.1 percentage points (age standardized: 4.0 percentage points). Type 2 and type 1 diabetes show a documented prevalence of 7.5% and 0.28%, respectively. Unspecified diabetes is documented relatively frequently with 1.9%. In 0.21% of persons, the diagnosis diabetes is documented via one inpatient secondary diagnosis. In addition, 0.17% of people without documented diabetes have at least one prescription of an antidiabetic drug. In 2012, 565,040 insured persons were newly diagnosed with diabetes; this corresponds to 1.0% of the insured persons (women: 1.0%, men: 1.1%). DISCUSSION: The developed reference analysis is suitable for reporting the prevalence and incidence of documented diabetes within the framework of diabetes surveillance. The differentiation of diabetes types is difficult due to coding practice.

[Health reporting as part of public health surveillance: the example of diabetes]. / Gesundheitsberichterstattung im Rahmen von Public Health Surveillance: Das Beispiel Diabetes.

The continuous collection and analysis of health data on relevant diseases (surveillance) is at the core of public health. The surveillance enables the implementation of measures to protect the populations' health. Therefore, relevant information needs to be provided in a timely and target-group-specific manner to the respective stakeholders.A dissemination strategy supports the effective communication of results and considers three key questions: (1) "What content is relevant to the surveillance?", (2) "Who requires which information?" and (3) "How are the results disseminated to the target audience?" In this context, digitalisation allows for novel possibilities in the design of publication formats.Since 2015, diabetes surveillance has been established at the Robert Koch Institute. Within a structured process of consensus, we defined four fields of action relevant for health policy including 40 indicators. Thereafter, we developed the first publication formats in collaboration with the scientific advisory board of the project that reflected novel possibilities offered by digitalisation. In addition to articles in scientific journals, the essential formats of the first project phase comprise the report "Diabetes in Germany" and a website including interactive visualisations of results. Additional posts on Twitter and YouTube are used to increase coverage.In addition to the further development of the indicator set, the focus of the next project phase is the advancement of the dissemination towards user- and action-oriented reporting. In close exchange with the scientific advisory board, we aim to explore the requirements of the target audience and reflect them in the design of further publication formats.

[Febrile seizures, epilepsy, migraine, diabetes, and heart disease as well as measles, chicken pox, and whooping cough in children and adolescents in Germany : Results from KiGGS Wave 2]. / Fieberkrämpfe, Epilepsie, Migräne, Diabetes und Herzerkrankungen sowie Masern, Windpocken und Keuchhusten bei Kindern und Jugendlichen in Deutschland : Ergebnisse aus KiGGS Welle 2.

Trends of frequent chronic diseases and health problems, e.g. allergic diseases, have already been published based on the KiGGS Wave 2 study as part of the health monitoring of children and adolescents in Germany. The present work complements these findings with results on less frequent noncommunicable diseases and the trend of communicable, vaccine-preventable diseases.Information from parents about diagnoses and diseases of their 0­ to 17-year-old children from the representative cross-sectional survey KiGGS Wave 2 (2014-2017) are compared with those from the KiGGS baseline survey (2003-2006) and KiGGS Wave 1 (2009-2012).The current KiGGS results show almost unchanged prevalences for the noncommunicable diseases epilepsy, migraine, and heart disease. However, the data from KiGGS Wave 2 are supportive of an increased prevalence of diabetes mellitus, which nevertheless continues to be relatively rare and predominantly type 1 diabetes in children and adolescents.The decline in measles, chicken pox, and whooping cough diseases related to changes in vaccination recommendations shows that preventive measures can effectively benefit children and adolescents.However, the data on vaccine-preventable diseases indicate regionally varying immunity gaps in certain age groups, so the prevention potential of the vaccination recommendations of the Standing Vaccination Commission (STIKO) at the Robert Koch Institute does not seem to have been sufficiently exploited.

Association between random glucose and all-cause mortality: findings from the mortality follow-up of the German National Health Interview and Examination Survey 1998.

BACKGROUND: Random glucose is widely measured in epidemiological studies and in the clinical setting when standardized fasting protocols and oral glucose tolerance testing or HbA1c measuring are not feasible. The relationship between random glucose and all-cause mortality has hardly been studied so far and was examined in the present study. METHODS: We ascertained mortality status among 5955 persons aged 18-79 years and free of known diabetes when participating in the German National Health Interview and Examination Survey 1998 (mean observation time 11.7 years, 458 deaths). Cox regression was applied to analyze the association of random serum glucose with all-cause mortality taken potential confounders into account. Relative mortality risks were estimated as hazard ratios (HRs) with 95% confidence intervals (CIs) modeling random glucose as categorical or continuous variable. RESULTS: Compared to random glucose levels of 4.3 - < 5.3 mmol/L, HRs (95% CIs) were 1.94 (0.85-4.45) for levels < 4.3 mmol/L and 1.16 (0.89-1.50), 1.20 (0.91-1.58), 1.42 (0.88-2.29), 2.02 (1.26-3.25) and 4.71 (2.20-10.10) for levels 5.3 - < 5.8, 5.8 - < 6.8, 6.8 - < 7.8, 7.8 - < 11.1 and ≥ 11.1 mmol/L, adjusted for age, sex, lifestyle, anthropometry and chronic diseases. An additional adjustment for fasting time or HbA1c yielded similar estimates. Modeling continuous random glucose by restricted cubic spline functions revealed comparable findings. CONCLUSIONS: In the present epidemiological study drawn from the general population, random glucose showed a significant association with all-cause mortality, independent of main potential confounders. Thus, random glucose measures are highly relevant to health risk assessment among people without known diabetes when fasting glucose or HbA1c are difficult to obtain.

[Assessing incident cardiovascular and metabolic diseases in epidemiological cohort studies in Germany]. / Erfassung inzidenter kardiovaskulärer und metabolischer Erkrankungen in epidemiologischen Kohortenstudien in Deutschland.

BACKGROUND: Cardiovascular and metabolic diseases are a major cause of mortality and loss of quality of life in Germany. Research into risk factors of these diseases requires large population-based cohort studies. Complete and accurate assessment of the incidence of cardiovascular and metabolic diseases is a key element for valid interpretation of the results from such studies. OBJECTIVE: Our aim was to identify population-based cohort studies with incidence of cardiovascular and metabolic diseases in Germany and to summarize their methods for assessment and classification of disease endpoints, including myocardial infarction, type 2 diabetes, stroke, heart failure, and arterial hypertension. METHODS: Within the framework of a workshop, representatives of the ascertained population-based cohort studies in Germany with incidence of cardiovascular or metabolic diseases were invited to present and to systematically provide information on their methods of endpoint identification. RESULTS: We identified eight studies from different regions in Germany with a total of 100,571 participants, aged 18-83 years at baseline. Self-reporting by study participants is the major source for further inquiries to assess disease endpoints in these studies. Most studies use additional data sources to verify the incidence of diseases, such as documents provided by the treating physician or hospital. CONCLUSIONS: Our results highlight the central role of self-reporting and the efforts associated with identification and verification of disease endpoints in cohort studies. They also provide a basis for future population-based studies that aim for standardized assessment of the incidence of cardiovascular and metabolic diseases.

National public health system responses to diabetes and other important noncommunicable diseases : Background, goals, and results of an international workshop at the Robert Koch Institute.

Diabetes mellitus and other noncommunicable diseases (NCDs) represent an emerging global public health challenge. In Germany, about 6.7 million adults are affected by diabetes according to national health surveys, including 1.3 million with undiagnosed diabetes. Complications of diabetes result in an increasing burden for individuals and society as well as enormous costs for the health care system. In response, the Federal Ministry of Health commissioned the Robert Koch Institute (RKI) to implement a diabetes surveillance system and the Federal Center for Health Education (BZgA) to develop a diabetes prevention strategy. In a two-day workshop jointly organized by the RKI and the BZgA, representatives from public health institutes in seven countries shared their expertise and knowledge on diabetes prevention and surveillance. Day one focused on NCD surveillance systems and emphasized both the strengthening of sustainable data sources and the timely and targeted dissemination of results using innovative formats. The second day focused on diabetes prevention strategies and highlighted the importance of involving all relevant stakeholders in the development process to facilitate its acceptance and implementation. Furthermore, the effective translation of prevention measures into real-world settings requires data from surveillance systems to identify high-risk groups and evaluate the effect of measures at the population level based on analyses of time trends in risk factors and disease outcomes. Overall, the workshop highlighted the close link between diabetes prevention strategies and surveillance systems. It was generally stated that only robust data enables effective prevention measures to encounter the increasing burden from diabetes and other NCDs.

[Regional differences in the prevalence of cardiovascular risk factors in men and women in Germany]. / Regionale Unterschiede in der Prävalenz von kardiovaskulären Risikofaktoren bei Männern und Frauen in Deutschland.

BACKGROUND: More than half of all cardiovascular diseases are caused by eight, mostly preventable risk factors. OBJECTIVES: In view of the considerable differences in the prevalence and mortality of cardiovascular diseases between the 16 German federal states, the regional distribution of cardiovascular risk factors was analyzed stratified for men and women, using population-based data. METHODS: Pooled data (n = 62,606) from the national, telephone health surveys "German Health Update" from 2009, 2010 and 2012 were used to estimate the prevalence of physical inactivity, risky alcohol consumption, smoking, low fruit and vegetable consumption, obesity and diagnosed hypertension, diabetes and dyslipidemia and the accumulated number of risk factors stratified for men and women in the federal states. Furthermore, we analyzed the influence of age and social status on prevalence differences. RESULTS: At the national level, 36.0% of men and 26.6% of women had three or more risk factors. Large differences between men and women were found for risky alcohol consumption (32.8% versus 21.7%), low fruit and vegetable consumption (20.6% versus 10.4%) and current smoking (32.6% versus 24.9%). The prevalence of all eight risk factors differed considerably between federal states. The highest prevalence of physical inactivity, obesity, hypertension and diabetes in both sexes as well as risky alcohol consumption in men were observed in the Eastern federal states (except for Berlin). Sachsen-Anhalt was the only federal state with the highest prevalence for two risk factors. Current smoking was most prevalent in the three federal city states Berlin, Hamburg and Bremen. Saarland had the highest prevalence of low fruit and vegetable consumption in both sexes. Regional differences remained after adjustment for age and social status. CONCLUSIONS: There is evidence for regional differences in cardiovascular risk factor levels in Germany that resemble variations in the prevalence and mortality of cardiovascular diseases between federal states with a more unfavorable situation in the East (except for Berlin). Overall, this study shows a considerable need for the prevention of mostly modifiable risk factors for cardiovascular diseases in men and women in Germany.

[Regionalization of federal health reporting using the example of diabetes surveillance : Aims and results of the discussion between the Robert Koch Institute and the federal states]. / Regionalisierung der Gesundheitsberichterstattung am Beispiel Diabetes-Surveillance : Ziele und Ergebnisse des Bund-Länder-Gesprächs am Robert Koch-Institut.

Insufficiently treated diabetes mellitus can lead to severe comorbidities. National and international analyses show a continuous increase in diabetes prevalence over the last decades. Currently, an indicator-based national diabetes surveillance system is implemented at the Robert Koch Institute (RKI) to monitor and report on diabetes development on the basis of available primary and secondary data. The aim of the meeting was to go into deeper discussions and to integrate expectations and expertise of the federal states into the design of the national surveillance system. A close collaboration between the RKI and the federal states is intended.

[Integration of secondary data into national diabetes surveillance : Background, aims and results of the secondary data workshop at the Robert Koch Institute]. / Integration von Sekundärdaten in die Nationale Diabetes-Surveillance : Hintergrund, Ziele und Ergebnisse des Sekundärdaten-Workshops am Robert Koch-Institut.

Epidemiological data provide evidence that diabetes mellitus is a highly relevant public health issue in Germany as in many other countries. The Robert Koch Institute (RKI) is in the process of building a national diabetes surveillance system that is aimed at establishing indicator-based public health monitoring of diabetes population dynamics using primary and secondary data. The purpose of the workshop was to conduct an inventory of available secondary data sources and to discuss data contents, data access, data analysis examples in addition to the options for ongoing data use for diabetes surveillance.

Prevalence of gestational diabetes mellitus in Germany: Temporal trend and differences by regional socioeconomic deprivation.

Background: Gestational diabetes mellitus (GDM) increases the risk for adverse pregnancy outcomes. In 2012, a general screening for GDM was introduced in Germany. Methods: The analysis is based on data from the external inpatient quality assurance for obstetrics from the years 2013 to 2021. Women with pregestational diabetes were excluded. GDM was defined either by documentation in the maternity record or by ICD diagnosis O24.4 during hospitalisation. We reported the prevalence stratified by year, maternal age and regional socioeconomic deprivation. Results: The age-standardized prevalence of GDM continuously rose from 4.7 % in 2013 to 8.5 % in 2021. The increase was observed in all age groups. In 2021, this corresponded to 63,563 women with GDM. The prevalence was higher in highly deprived regions than in low deprived regions. Conclusion: A steady increase in GDM prevalence and evidence of health inequalities emphasise the need for primary prevention strategies for GDM.

Outpatient Health Service Utilization Among Adults with Diabetes, Hypertension and Cardiovascular Disease During the COVID-19 Pandemic - Results of Population-Based Surveys in Germany from 2019 to 2021.

Purpose: Fear of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and lockdown measures may have an impact on health care utilization particularly for people with chronic diseases. We investigated changes in outpatient utilization behavior in pandemic phases among people with selected chronic diseases in Germany. Methods: The nationwide population-based telephone surveys German Health Update (GEDA) 2019/2020 (April 2019 to September 2020) and GEDA 2021 (July to December 2021) covered 4 out of 7 pandemic phases from the pre-pandemic to the 4th pandemic wave. Data on hypertension, diabetes and major cardiovascular diseases (CVD) in the past 12 months and visiting a general practitioner (GP) or a specialist (excluding dentist) in the past 4 weeks was collected using a standardized questionnaire. Proportions and odds ratios were derived from logistic regression models adjusted for age, sex, education and federal states. Results: Among 27,967 participants aged ≥16 years, 8,449, 2,497 and 1,136 individuals had hypertension, diabetes and major CVD. Participants with these chronic diseases visited a GP or specialist significantly more often than the overall study population, irrespective of pandemic phases. Compared to the pre-pandemic phase, a significant reduction in specialist-visiting was found in the first pandemic wave among people with hypertension (34.3% vs 24.1%), diabetes (39.5% vs 25.5%) and major CVD (41.9% vs 25.6%). GP-visiting was lower only among people with hypertension (53.0% vs 46.0%). No difference in GP or specialist visiting was found in the 4th pandemic wave compared to the pre-pandemic phase. Conclusion: The observed decrease particularly in specialist utilization among people with the selected chronic diseases at the beginning of the pandemic was not observed for the second half of 2021 despite the ongoing pandemic. Further studies are required to examine whether the temporary changes in the utilization of ambulatory health care have affected the disease management of people with chronic diseases.

Distribution and determinants of glycosylated hemoglobin in adolescents - Results from a nationwide population-based survey in Germany.

The role of glycosylated hemoglobin (HbA1c) in youth is largely unclear. The aims of this study are to investigate the distribution and potential determinants of HbA1c among a population-based sample of adolescents. The German Health Interview and Examination Survey for Children and Adolescents (KiGGS) Wave 2 includes a nationwide representative sample of 0-17-year-old participants. For this evaluation, data from a randomly selected subgroup aged 14-17 years and without diagnosed diabetes was included (n = 857). Percentile-based HbA1c values (measured at laboratory in whole blood samples by high performance liquid chromatography) were calculated to examine HbA1c distribution. Multivariable linear regression analyses were performed to investigate factors (age, sex, parental socioeconomic status, body mass index (BMI), birth weight, smoking, alcohol consumption, healthy food diversity, sport activity, oral contraceptive use) associated with HbA1c. The mean HbA1c level was 5.2% (minimum: 3.9%, P10: 4.8%, P50: 5.1%, P90: 5.5%, maximum: 6.7%). Overall, 2.8% of adolescents had an HbA1c value in the prediabetic range (5.7-6.4%) and 0.1% had an undiagnosed diabetes (≥6.5%). Multivariable regression analysis showed an inverse association of age with HbA1c (17 vs. 14 years: ß: -1.18; 95% CI -2.05, -0.31). Higher HbA1c values were observed for higher BMI-standard deviation scores (SDS) (ß: 0.24; 95% CI -0.04, 0.52) and smoking (ß: 0.73; 95% CI -0.12, 1.57), but these tendencies were non-significant. In sex-stratified analysis, smoking and birth weight were significantly associated with HbA1c in boys. Among adolescents without diagnosed diabetes in Germany, HbA1c values ranged from 3.9% to 6.7%. To ensure health in adulthood, the influence of determinants on HbA1c levels in younger age should be further investigated.