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.

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.

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.

Incidence of type 1 and type 2 diabetes before and during the COVID-19 pandemic in Germany: analysis of routine data from 2015 to 2021.

Background: To date, there is no data available depicting the trend of the incidence of type 1 and type 2 diabetes across all age groups for the COVID-19 pandemic years in Germany. Methods: Based on anonymized routine data from nine million persons covered by statutory health insurance, newly diagnosed diabetes cases (ICD diagnosis E10.- to E14.-) in inpatient or (confirmed in two quarters) outpatient setting were estimated for 2015 to 2021, differentiating between type 1 and type 2 diabetes. The data were linked to the German Index of Socioeconomic Deprivation. The results are age-standardised (population as of 31 Dec. 2021). Results: Between 2015 and 2021, the incidence of type 1 diabetes increased from 9.5 to 11.6 per 100,000 persons (from 7,007 to 8,699 new cases per year). In contrast, the incidence of type 2 diabetes tended to decline between 2015 and 2019. It continued to drop initially in 2020 during the pandemic, and then rose to 740 per 100,000 persons in 2021 (556,318 new cases per year). The diabetes type-specific seasonal pattern of previous years has changed during the pandemic years. The incidence of both type 1 and type 2 diabetes was observed to be higher in regions of high socioeconomic deprivation as compared to regions characterised by low socioeconomic deprivation. Conclusions: The increase in the incidence of type 1 and type 2 diabetes in 2021 may possibly be related to the COVID-19 pandemic. The high incidence and the differences by regional socioeconomic deprivation indicate that there is a need for targeted prevention strategies.

[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.

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.

Incidence, prevalence and care of type 1 diabetes in children and adolescents in Germany: Time trends and regional socioeconomic situation.

Background: Trends over time and possible socio-spatial inequalities in the incidence and care of type 1 diabetes mellitus (T1D) in children and adolescents are important parameters for the planning of target-specific treatment structures. Methodology: The incidence and prevalence of type 1 diabetes, diabetic ketoacidosis and severe hypoglycaemia as well as the HbA1c value are presented for under 18-year-olds based on data from the nationwide Diabetes Prospective Follow-up Registry (DPV) and the diabetes registry of North Rhine-Westphalia. Indicators were mapped by sex over time between 2014 and 2020, and stratified by sex, age and regional socioeconomic deprivation for 2020. Results: In 2020, the incidence was 29.2 per 100,000 person-years and the prevalence was 235.5 per 100,000 persons, with the figures being higher in boys than in girls in either case. The median HbA1c value was 7.5%. Ketoacidosis manifested in 3.4% of treated children and adolescents, significantly more often in regions with very high (4.5%) deprivation than in regions with very low deprivation (2.4%). The proportion of severe hypoglycaemia cases was 3.0%. Between 2014 and 2020, the incidence, prevalence and HbA1c levels changed little, while the proportions of ketoacidosis and severe hypoglycaemia decreased. Conclusions: The decrease in acute complications indicates that type 1 diabetes care has improved. Similar to previous studies, the results suggest an inequality in care by regional socioeconomic situation.

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.

Pregnancy Complications in Women With Pregestational and Gestational Diabetes Mellitus.

BACKGROUND: Diabetes mellitus (DM) is a major risk factor for complications of pregnancy. Based on information for all inpatient births in Germany, we assessed the risks for selected pregnancy complications in women with pregestational diabetes mellitus (preDM) or gestational diabetes mellitus (GDM). METHODS: The underlying data comprised all singleton births contained in the inpatient perinatal medicine quality assurance statistics for the years 2013-2019. The frequencies of premature birth, elevated birth weight (large for gestational age, LGA), cesarean section, transfer of the newborn to the perinatal unit, and stillbirth were stratified by maternal age and diabetes status (preDM, GDM, no DM). Poisson regression was used to calculate the relative risks (RR) with 95% confidence intervals (95% CI) for the whole period and for each individual year in women with preDM or GDM relative to women without DM. RESULTS: Among the 4 991 275 singleton births included, GDM was documented in 283 210 (5.7%) and preDM in 46 605 (0.93%) cases. GDM was associated with higher RR for premature birth (1.13 [1.12; 1.15]), LGA (1.57 [1.55; 1.58]), cesarean section (1.26 [1.25; 1.27]), and transfer of the newborn (1.54 [1.52; 1.55]). These associations were even stronger in women with preDM: premature birth (2.13 [2.08; 2.18]), LGA (2.72 [2.67; 2.77]), cesarean section (1.62 [1.60; 1.64]), transfer of the newborn (2.61 [2.56; 2.66]). PreDM increased the risk of stillbirth (RR: 2.34 [2.11; 2.59]); GDM was associated with a lower risk (RR: 0.67 [0.62; 0.72]). For women with preDM, the risk of pregnancy complications increased over the study period. CONCLUSION: GDM and preDM are still associated with elevated risks of pregnancy complications. In the case of preDM, the risks may be attributable to the fact that the hyperglycemia is more severe and is already present before conception. Continuous monitoring should include risk factors in pregnant women and care-relevant aspects.

Diabetes-related distress and associated factors among adults with diabetes in Germany: Results of the nationwide study "Disease knowledge and information needs - Diabetes mellitus 2017".

BACKGROUND: Diabetes-related distress (DRD) can affect diabetes management adversely. In lack of population-based data, the frequency and determinants of DRD among adults with diabetes in Germany remain controversial. METHODS: This study included 1367 adults with diabetes who participated in a nationwide health telephone survey conducted among German adults aged 18 years and older in 2017. The short form of the Problem Areas in Diabetes (PAID-5) scale was used to assess DRD. The associations of high DRD (PAID-5 sum score ≥ 8) with socio-demographics, diabetes-related risk factors, diabetes clinical characteristics as well as quality of self-care and chronic illness care assessed by patients were tested in multivariable logistic regression models. RESULTS: The overall DRD prevalence was 15.1% (95% confidence intervals, 95% CIs, 12.5-18.0%) with no significant difference between men (14.7%, 95% CIs 11.2-19.1%) and women (15.4%, 11.9-19.8%). In multivariable analyses, DRD was significantly associated with younger age (odds ratio 0.96, 95% CIs 0.94-0.98, per year), immigration background (2.26, 1.16-4.42), current smoking (2.06, 1.14-3.70), insulin use (2.57, 1.45-4.56), and the presence of diabetes-specific complications (1.80, 1.10-2.94) or depressive symptoms (5.34, 3.24-8.81). Among those with depressive symptoms (18,4% of the study population), 38.3% also had DRD, which accounted for 7.0% (95% CIs 5.3-9.3%) of the study population. CONCLUSION: DRD is a common health problem among adults with diabetes in Germany, and highly correlates with depressive symptoms, current smoking, immigration background, and insulin use. Addressing DRD needs to become an integrative part of ambulatory diabetes care.

[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.

German Diabetes Risk Score for the Determination of the Individual Type 2 Diabetes Risk.

BACKGROUND: The German Diabetes Risk Score (GDRS) currently enables prediction of the individual risk of developing type 2 diabetes (T2D) within five years. The aim of this study is to extend the prediction period of the GDRS, including its non-clinical version and its HbA1c extension, to 10 years, and to perform external validation. METHODS: In data from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study (n = 25 393), Cox proportional hazards regression was used to reweight the points that were used to calculate the five-year risk. Two population-based prospective cohorts (EPIC-Heidelberg n = 23 624, GNHIES98 cohort n = 3717) were used for external validation. Discrimination was represented by C-indices, and calibration by calibration plots and the expected-to-observed (E/O) ratio. RESULTS: Prediction performance in EPIC-Potsdam was very good (C-index for the non-clinical model: 0.834) and was confirmed in EPIC-Heidelberg (0.843) and in the GNHIES98 cohort (0.851). Among persons in the GNHIES98 cohort with a greater than 10% predicted probability of disease, 14.9% developed T2D within 10 years (positive predictive value). The models were very well calibrated in EPIC-Potsdam (E/O ratio for the non-clinical model: 1.08), slightly overestimated the risk in EPIC-Heidelberg (1.34), and predicted T2D very well in the GNHIES98 cohort after recalibration (1.06). CONCLUSION: The extended GDRS prediction period of 10 years, with a non-clinical version and an HbA1c extension that will soon be available in both German and English, enables the even longer-range, evidence-based identification of high-risk individuals with many different applications, including medical screening.

Non-utilisation of health care services during the COVID-19 pandemic: Results of the CoMoLo study.

Based on data from the CORONA-MONITORING lokal (CoMoLo) study conducted in four municipalities particularly affected by the COVID-19 pandemic, this article investigates the non-utilisation of health care services in the population aged 18 years and older (n=9,002) in relation to the period after the introduction of the containment measures in March 2020. The results show that about one third of the respondents (35.5%) gave up at least one of the surveyed health care services. The most frequent cancellations were dental (15.2%) and specialist check-ups (11.8%), followed by postponement of physiotherapy, ergotherapy or speech therapy (6.1%), cancellation of general practitioner (GP) check-ups (5.8%), postponement of psychotherapy (2.0%), postponement of planned hospital treatment (1.8%) and not going to an emergency room (0.7%). Almost 10% of the respondents reported not visiting a physician despite health complaints. Compared to respondents without such a waiver, these respondents were more often female and younger than 35 years, less often rated their health as very good or good, more often had a diagnosis of depression and more often used telemedical contacts as an alternative to visiting the practice during the pandemic. Further analyses of trends in utilisation behaviour and changes in health status over the course of the COVID-19 pandemic are important.

Participation in structured diabetes self-management education programs and its associations with self-management behaviour - a nationwide population-based study.

OBJECTIVE: To evaluate the relationship between participation in structured diabetes self-management education programs (DSME) and self-management behaviour (SMB) in routine care. METHODS: The study included 864 ever- and 515 never-DSME participants from the population-based survey German Health Update (GEDA) 2014/2015. SMB and clinical care variables were: Following a diet plan, keeping a diabetes diary, holding a diabetes pass, self-monitoring of blood glucose (SMBG), foot self-examination (FSE), retinopathy screening, haemoglobin A1c (HbA1c) measurement and examination of the feet by clinicians (FEC). We conducted logistic regression analyses for association of DSME-participation with SMB, adjusting for various variables. RESULTS: DSME-participation was significantly associated with SMB including following a diet plan (OR 1.88 [95% CI 1.21-2.92]), keeping a diabetes journal (OR 3.83 [2.74-5.36]), holding a diabetes health passport (OR 6.11 [4.40-8.48]), SMBG (OR 2.96 [2.20-3.98]) and FSE (OR 2.64 [2.01-3.47]) as well as retinopathy screening (OR 3.30 [2.31-4.70]), HbA1c measurement (OR 2.58 [1.88-3.52]), and FEC (OR 3.68 [2.76-4.89]) after adjusting for confounders. CONCLUSION: DSME-participation is associated with higher frequencies of various SMB and clinical care variables in routine care. Never-DSME attenders are more likely not to receive retinopathy screening, FEC and HbA1c measurements as recommended. PRACTICE IMPLICATIONS: Clinicians should refer diabetes patients to a DSME and ensure a regular follow up for never-DSME attenders.

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.

Perceived Access to Health Care Services and Relevance of Telemedicine during the COVID-19 Pandemic in Germany.

During the COVID-19 pandemic in Germany, non-pharmaceutical interventions were imposed to contain the spread of the virus. Based on cross-sectional waves in March, July and December 2020 of the COVID-19 Snapshot Monitoring (COSMO), the present study investigated the impact of the introduced measures on the perceived access to health care. Additionally, for the wave in December, treatment occasion as well as utilization and satisfaction regarding telemedicine were analysed. For 18-74-year-old participants requiring medical care, descriptive and logistic regression analyses were performed. During the less strict second lockdown in December, participants reported more frequently ensured access to health care (91.2%) compared to the first lockdown in March (86.8%), but less frequently compared to July (94.2%) during a period with only mild restrictions. In December, main treatment occasions of required medical appointments were check-up visits at the general practitioner (55.2%) and dentist (36.2%), followed by acute treatments at the general practitioner (25.6%) and dentist (19.0%), treatments at the physio-, ergo- or speech therapist (13.1%), psychotherapist (11.9%), and scheduled hospital admissions or surgeries (10.0%). Of the participants, 20.0% indicated utilization of telemedical (15.4% telephone, 7.6% video) consultations. Of them, 43.7% were satisfied with the service. In conclusion, for the majority of participants, access to medical care was ensured during the COVID-19 pandemic; however, access slightly decreased during phases of lockdown. Telemedicine complemented the access to medical appointments.

Are depressive symptoms associated with quality of care in diabetes? Findings from a nationwide population-based study.

INTRODUCTION: We investigated whether the presence of depressive symptoms among adults with diagnosed diabetes is associated with adverse quality of diabetes care. RESEARCH DESIGN AND METHODS: The study population was drawn from the German national health survey 'German Health Update' 2014/2015-European Health Interview Survey and included 1712 participants aged ≥18 years with self-reported diabetes during the past 12 months. Depressive symptoms in the past 2 weeks were assessed by the eight-item depression module of the Patient Health Questionnaire (PHQ-8), with PHQ-8 sum score values ≥10 indicating current depressive symptoms. We selected 12 care indicators in diabetes based on self-reported information on care processes and outcomes. Associations of depressive symptoms with those indicators were examined in multivariable logistic regression models with stepwise adjustments. RESULTS: Overall, 15.6% of adults with diagnosed diabetes reported depressive symptoms, which were higher in women than in men (18.7% vs 12.9%). Adjusted for age, sex, education, social support, health-related behaviors, and diabetes duration, adults with depressive symptoms were more likely to report acute hypoglycemia (OR 1.81, 95% CI 1.13 to 2.88) or hyperglycemia (OR 2.10, 95% CI 1.30 to 3.37) in the past 12 months, long-term diabetes complications (OR 2.30, 95% CI 1.55 to 3.39) as well as currently having a diet plan (OR 2.14, 95% CI 1.39 to 3.29) than adults without depressive symptoms. Significant associations between depressive symptoms and other care indicators were not observed. CONCLUSIONS: The present population-based study of adults with diagnosed diabetes indicates an association between depressive symptoms and adverse diabetes-specific care with respect to outcome but largely not to process indicators. Our findings underline the need for intensified care for persons with diabetes and depressive symptoms. Future research needs to identify underlying mechanisms with a focus on the inter-relationship between diabetes, depression and diabetes-related distress.

Patterns and associated factors of diabetes self-management: Results of a latent class analysis in a German population-based study.

OBJECTIVE: Few studies on diabetes self-management considered the patterns and relationships of different self-management behaviours (SMB). The aims of the present study are 1) to identify patterns of SMB among persons with diabetes, 2) to identify sociodemographic and disease-related predictors of SMB among persons with diabetes. RESEARCH DESIGN AND METHODS: The present analysis includes data of 1,466 persons (age 18 to 99 years; 44.0% female; 56.0% male) with diabetes (type I and II) from the population-based study German Health Update 2014/2015 (GEDA 2014/2015-EHIS). We used latent class analysis in order to distinguish different patterns of self-management behaviours among persons with diabetes. The assessment of SMB was based on seven self-reported activities by respondents (dietary plan, diabetes-diary, diabetes health pass, self-assessment of blood glucose, self-examination of feet, retinopathy-screenings and assessment of HbA1c). Subsequent multinomial latent variable regressions identified factors that were associated with self-management behaviour. RESULTS: Latent class analysis suggested a distinction between three patterns of SMB. Based on modal posterior probabilities 42.8% of respondents showed an adherent pattern of diabetes self-management with above-average frequency in all seven indicators of SMB. 32.1% showed a nonadherent pattern with a below-average commitment in all seven forms of SMB. Another 25.1% were assigned to an ambivalent type, which showed to be adherent with regard to retinopathy screenings, foot examinations, and the assessment of HbA1c, yet nonadherent with regard to all other forms of SMB. In multivariable regression analyses, participation in Diabetes Self-Management Education programs (DSME) was the most important predictor of good self-management behaviour (marginal effect = 51.7 percentage points), followed by attentiveness towards one's personal health (31.0 percentage points). Respondents with a duration of illness of less than 10 years (19.5 percentage points), employed respondents (7.5 percentage points), as well as respondents with a high socioeconomic status (24.7 percentage points) were more likely to show suboptimal forms of diabetes self-management. DISCUSSION: In the present nationwide population-based study, a large proportion of persons with diabetes showed suboptimal self-management behaviour. Participation in a DSME program was the strongest predictor of good self-management. Results underline the need for continual and consistent health education for patients with diabetes.

Estimating the impact of tax policy interventions on the projected number and prevalence of adults with type 2 diabetes in Germany between 2020 and 2040.

INTRODUCTION: As a population-wide intervention, it has been proposed to raise taxes on unhealthy products to prevent diseases such as type 2 diabetes. In this study, we aimed to estimate the effect of tax policy interventions in 2020 on the projected prevalence and number of people with type 2 diabetes in the German adult population in 2040. RESEARCH DESIGN AND METHODS: We applied an illness-death model and the German Diabetes Risk Score (GDRS) to project the prevalence and number of adults with type 2 diabetes in Germany under a base case scenario and under a tax policy intervention scenario. For the base case scenario, we assumed constant age-specific incidence rates between 2020 and 2040. For the intervention scenario, we assumed a 50% price increase for sugar-sweetened beverages, tobacco and red meat products in the year 2020. Based on price elasticities, we estimated the impact on these risk factors alone and in combination, and calculated subsequent reductions in the age-specific and sex-specific GDRS. These reductions were used to determine reductions in the incidence rate and prevalence using a partial differential equation. RESULTS: Compared with the base case scenario, combined tax interventions in 2020 resulted in a 0.95 percentage point decrease in the prevalence of type 2 diabetes (16.2% vs 17.1%), which corresponds to 640 000 fewer prevalent cases of type 2 diabetes and a relative reduction by 6%. CONCLUSIONS: Taxation of sugar-sweetened beverages, tobacco products and red meat by 50% modestly lowered the projected number and prevalence of adults with type 2 diabetes in Germany in 2040. Raising taxes on unhealthy products as a stand-alone measure may not be enough to attenuate the future rise of type 2 diabetes.