Incidence trend of type 2 diabetes from 2012 to 2021 in Germany: an analysis of health claims data of 11 million statutorily insured people.

AIMS/HYPOTHESIS: The aim of the study is to describe the time trend of type 2 diabetes incidence in the largest state of Germany, Bavaria, from 2012 to 2021, and to compare the incidence rates during the pandemic period (2020-2021) to the pre-pandemic period (2012-2019). METHODS: This secondary data analysis uses health claims data provided by the Bavarian Association of Statutory Health Insurance Physicians (KVB), covering approximately 11 million insurees, accounting for 85% of the total population of Bavaria, Germany. Newly diagnosed type 2 diabetes cases in adults (≥20 years) coded as E11 (Diabetes mellitus, Type 2) or E14 (Unspecified diabetes mellitus) under ICD-10, German modification (ICD-10-GM) for the study period 2012 to 2021 were included. Annual and quarterly age-standardised incidence rates (ASIR) stratified by sex, age and region were calculated using the European standard population. Sex-specific crude incidence rates (CIR) were calculated using 10-year age groups. Regression analyses adjusted for time trends, seasonal effects, and pandemic effects were used to analyse the incidence trend and to assess the effect of the pandemic. RESULTS: Overall, 745,861 new cases of type 2 diabetes were diagnosed between 2012 and 2021: 50.4% (376,193 cases) in women. The male/female ratio remained stable over the observation period, while the median age at diagnosis decreased from 61 to 58 years in men and from 66 years to 61 years in women. ASIR were consistently higher for men compared with women, with the yearly difference remaining stable over time (2012: 18%; 2021: 20%). An overall decreasing trend in ASIR was observed during the study period, with a strong decrease from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021 for both sexes. For men, ASIR decreased from 1514 per 100,000 person-years in 2012 to 995 per 100,000 person-years in 2021 (4.6% average annual reduction), and for women from 1238 per 100,000 person-years in 2012 to 796 per 100,000 person-years in 2021 (4.8% average annual reduction). This downward trend was also observed for age groups above 50 years. Regression analyses showed no significant change in incidence rates during the pandemic period (2020 and 2021) compared with the pre-pandemic period. CONCLUSIONS/INTERPRETATION: For the first time, a 10-year incidence trend of type 2 diabetes is reported for Germany, showing a strong decline from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021. The incidence trend of type 2 diabetes appears not to have been affected by the first 2 years of the COVID-19 pandemic. Despite an overall increasing prevalence, the incidence is decreasing, potentially resulting from robust screening by family physicians, reducing the median age at diagnosis by 3 to 5 years. However, further investigation is needed to fully identify the reasons for the declining incidence trend. Continued incidence monitoring is necessary to identify the long-term trend and the potential effect of the pandemic on diagnoses of type 2 diabetes.

Efficacy of an app-based multimodal lifestyle intervention on body weight in persons with obesity: results from a randomized controlled trial.

BACKGROUND: Despite an increasing number of smartphone applications (apps) addressing weight management, data on the effect of app-based multimodal obesity treatment approaches on weight loss is limited. This study aimed to examine the effect of a digital multimodal weight loss intervention program delivered by an app on body weight in persons with obesity. METHODS: For this single-centre randomized controlled study, 168 adults with a body mass index (BMI) between 30.0 and 40.0 kg/m2 without severe comorbidities were recruited in the region of Munich and randomized into two intervention groups. The ADHOC group received an app-based multimodal weight loss program from baseline on for 12 weeks plus 12 weeks of follow-up. The EXPECT group received the app-based intervention for 12 weeks after 12 weeks of "waiting" (no intervention). Anthropometric data, data on quality of life (EuroQol, EQ-5D-5L), and app usage data were collected. RESULTS: 64.3% of study participants were women, mean age was 46.8 ± 11.0 years, and mean BMI was 34.2 ± 2.8 kg/m2. The completers analysis resulted in a weight loss of 3.2 ± 3.2 kg (3.2 ± 3.0%) in the ADHOC group and 0.4 ± 2.6 kg (0.3 ± 2.6%) in the EXPECT group after 12 weeks, with a significant difference between the groups (ß [95% CI] = -2.9 [-3.8; -1.9], p < 0.001). Completers in the ADHOC group showed weight maintenance after 24 weeks. The time spent on the app was associated with weight reduction (ß [95% CI] = -0.10 [-0.18; -0.01], p = 0.03). CONCLUSIONS: Application of a multimodal app-based weight loss program results in moderate weight loss in persons with obesity. TRIAL REGISTRATION: This study was registered in the German Clinical Trials Register (Registration number: DRKS00025291).

Dietary supplement intake in women with breast cancer before and after diagnosis: results from the SUCCESS C trial.

BACKGROUND: There is little evidence that dietary supplements are beneficial for patients with breast cancer; therefore, they are usually not recommended by treatment guidelines. The aim of the present analysis was to assess the prevalence of dietary supplement (DS) intake among women before and after a breast cancer diagnosis. METHODS: Participants in the SUCCESS C lifestyle intervention study, a randomized controlled trial in women with newly diagnosed intermediate- to high-risk breast cancer, completed two questionnaires on dietary supplement intake 24 months (QS1) and 48 months (QS2) after beginning the lifestyle intervention. The study was registered on 12.17.2008 under the EU Clinical Trials Register https://www.clinicaltrialsregister.eu/ , trial registration number: 2008-005453-38. The questionnaires collected data on DS intake during the 5-year period prediagnosis (QS1) and in the period postdiagnosis (QS2). Multivariate logistic regression models were fitted to examine differences in DS intake between the two intervention groups. The groups were then pooled to examine differences in DS use between the prediagnostic and postdiagnostic period. RESULTS: A total of 320 questionnaires from 58.5% of intervention group completers and 416 questionnaires from 46.6% of low-level intervention group completers were included in the analysis. Overall, 20.2% of all respondents reported taking DS prior to their diagnosis. After a cancer diagnosis, the percentage of women taking DS significantly increased to 56.4% (p for time effect < 0.0001). No differences in DS intake between the intervention groups were observed. Single or combined preparations of vitamins and minerals/trace elements were the most frequently reported supplements. Notably, a 9-fold increase in vitamin D intake was reported postdiagnosis, where the proportion of women increased from 3.8 to 34.5%. CONCLUSION: A 3-fold increase in the reported intake of dietary supplements was seen in women after a breast cancer diagnosis. These observations underscore the need to incorporate patient education surrounding the use of dietary supplements in a treatment care plan, particularly addressing the negligible benefits as well as the potential risks and treatment interactions.

Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study.

The objective of the present study was to identify proteins that contribute to pathophysiology and allow prediction of incident type 2 diabetes or incident prediabetes. We quantified 14 candidate proteins using targeted mass spectrometry in plasma samples of the prospective, population-based German KORA F4/FF4 study (6.5-year follow-up). 892 participants aged 42-81 years were selected using a case-cohort design, including 123 persons with incident type 2 diabetes and 255 persons with incident WHO-defined prediabetes. Prospective associations between protein levels and diabetes, prediabetes as well as continuous fasting and 2 h glucose, fasting insulin and insulin resistance were investigated using regression models adjusted for established risk factors. The best predictive panel of proteins on top of a non-invasive risk factor model or on top of HbA1c, age, and sex was selected. Mannan-binding lectin serine peptidase (MASP) levels were positively associated with both incident type 2 diabetes and prediabetes. Adiponectin was inversely associated with incident type 2 diabetes. MASP, adiponectin, apolipoprotein A-IV, apolipoprotein C-II, C-reactive protein, and glycosylphosphatidylinositol specific phospholipase D1 were associated with individual continuous outcomes. The combination of MASP, apolipoprotein E (apoE) and adiponectin improved diabetes prediction on top of both reference models, while prediabetes prediction was improved by MASP plus CRP on top of the HbA1c model. In conclusion, our mass spectrometric approach revealed a novel association of MASP with incident type 2 diabetes and incident prediabetes. In combination, MASP, adiponectin and apoE improved type 2 diabetes prediction beyond non-invasive risk factors or HbA1c, age and sex.

Increased predictive value of optical spectral transmission in early rheumatoid arthritis through use of patient-adjusted cut-off scores.

OBJECTIVES: The aims of this study were to suggest patient-adjusted optical spectral transmission (OST) cut-off values for the first time and to develop clinical models that predict the probability of an early rheumatoid arthritis (RA) diagnosis based on OST findings and the 2010 American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) classification criteria as a reference standard. METHODS: OST examinations were performed in newly diagnosed RA patients and healthy controls by the HandScan device. Moreover, RA patients underwent a full clinical [tender/swollen joint counts (TJC/SJC), disease activity score-28 (DAS28)] and laboratory evaluation. OST confounding factors were examined via logistic multivariate regression analyses and patient-adjusted OST-cut-offs were subsequently determined. Furthermore, statistical models to calculate the probability of an RA diagnosis, based on the measured OST values and the presence of OST influencing factors, were developed. Finally, correlations of OST with RA activity parameters were assessed. RESULTS: 1.584 joints of 72 early RA patients were examined via OST and compared to 2.200 joints of 100 healthy controls and 1.166 joints of 53 patients with non-inflammatory arthralgia (NIA), respectively. Overall OST diagnostic performance was excellent in the whole cohort between RA- and healthy control-group [Area-Under-the-Curve (AUC): 0.810 (95%CI: 0.746-0.873); p < 0.0001], and further improved in RA-patients with ≥ 1 swollen wrist/finger joint(s) [AUC: 0.841 (95%CI: 0.773-0.908); p < 0.0001]. Comparison between RA patients and patients with non-inflammatory arthralgia showed similar results by an AUC of 0.788 (95%-CI: 0.709-0.867; p < 0.0001), and further improved in RA patients with ≥ 1 swollen wrist/finger joint(s) [AUC: 0.822 (95%CI: 0.74-0.90); p < 0.0001]. For the assessment of an adjusted RA diagnosis probability, two gender-specific statistical models were developed, based on OST values and patient age. OST cut-off values of 11.2 and 18.21 were calculated for female and male patients with active disease (sensitivity 93% and 67%; specificity 71.2% and 90%), respectively. Among RA patients, OST was associated moderately/significantly with DAS28 (r = 0.42,p < 0.001) and swollen joint count (rho = 0.355,p = 0.002). CONCLUSION: The development of patient-adjusted OST cut-off values and the suggested statistical models significantly enhance OST's diagnostic performance, supporting its utility in differentiating between RA and non-inflammatory conditions. Future research should include a broader spectrum of arthritis types to validate OST's comprehensive diagnostic utility also across various inflammatory arthritides. TRIAL REGISTRATION: DRKS00016752 (German Registry of Clinical Trials).

Effect of a comprehensive lifestyle intervention program on body weight and health behavior in women with breast cancer: Results from a randomized controlled trial.

BACKGROUND: Both overweight/obesity and a Western lifestyle are associated with a poorer prognosis in women with breast cancer. The primary aim of this analysis was to examine the effect of a telephone-delivered lifestyle intervention program on reducing body weight and waist circumference, decreasing cardiovascular risk factors and improving lifestyle. DESIGN: Data is derived from an open-label, randomized, controlled phase III study that evaluated two chemotherapy regimens and the impact of a 2-year lifestyle intervention on disease-free survival and secondary outcomes in women with intermediate-risk to high-risk breast cancer. Initially, 2292 women with a body mass index (BMI) between 24 and 40 kg/m2 were randomized into one of two arms of the lifestyle intervention study. After accounting for dropout, 1785 participants remained: 776 in the intervention group (IG) who received a telephone-delivered lifestyle intervention supported by mailed materials, and 1009 in the low-level intervention group (LLIG) who received only mailed educational materials with general recommendations for a healthy lifestyle. Body weight, waist circumference, dietary intake, physical activity, and cardiovascular disease risk parameters were measured repeatedly throughout the intervention and a subsequent 2-year follow-up period. Linear mixed models for repeated measures were used to assess differences in study outcomes between the LLIG and IG at each measured time point. RESULTS: IG participants showed a mean weight loss of -2.7 kg (kg) (versus +0.4 kg, LLIG) at 6 months, -2.8 kg (vs. +0.8 kg, LLIG) at 12 months and -1.8 kg at 24 months (versus +0.9 kg, LLIG). Significant between-group differences for weight loss and reduced waist circumference were observed at all time points until the end of the lifestyle intervention (all p-values < 0.0001), including post-intervention. Reduced energy intake and a higher alternate healthy eating index (AHEI) score in the IG was detected during the lifestyle intervention (AHEI at 24 months: IG 49.1% versus LLIG 42.0%, p < 0.001). Modest significant improvements in several cardiovascular risk factors were observed during the intervention, including fasting plasma glucose, HbA1c, systolic and diastolic blood pressure, and lipids. CONCLUSIONS: A mainly telephone-delivered lifestyle intervention program can reduce body weight and waist circumference, improve diet quality, and decrease cardiometabolic risk in women with overweight/obesity and newly diagnosed, human epidermal growth factor receptor 2 (HER2)/neu-negative, intermediate-risk to high-risk breast cancer. Weight loss, reduced waist circumference and improved dietary patterns were maintained for up to two years post-intervention. TRIAL REGISTRATION: The protocol was registered under the EU Clinical Trials Register, https://www.clinicaltrialsregister.eu/, identifier: 2008-005453-38.

A Panel of 6 Biomarkers Significantly Improves the Prediction of Type 2 Diabetes in the MONICA/KORA Study Population.

CONTEXT: Improved strategies to identify persons at high risk of type 2 diabetes are important to target costly preventive efforts to those who will benefit most. OBJECTIVE: This work aimed to assess whether novel biomarkers improve the prediction of type 2 diabetes beyond noninvasive standard clinical risk factors alone or in combination with glycated hemoglobin A1c (HbA1c). METHODS: We used a population-based case-cohort study for discovery (689 incident cases and 1850 noncases) and an independent cohort study (262 incident cases, 2549 noncases) for validation. An L1-penalized (lasso) Cox model was used to select the most predictive set among 47 serum biomarkers from multiple etiological pathways. All variables available from the noninvasive German Diabetes Risk Score (GDRSadapted) were forced into the models. The C index and the category-free net reclassification index (cfNRI) were used to evaluate the predictive performance of the selected biomarkers beyond the GDRSadapted model (plus HbA1c). RESULTS: Interleukin-1 receptor antagonist, insulin-like growth factor binding protein 2, soluble E-selectin, decorin, adiponectin, and high-density lipoprotein cholesterol were selected as the most relevant biomarkers. The simultaneous addition of these 6 biomarkers significantly improved the predictive performance both in the discovery (C index [95% CI], 0.053 [0.039-0.066]; cfNRI [95% CI], 67.4% [57.3%-79.5%]) and the validation study (0.034 [0.019-0.053]; 48.4% [35.6%-60.8%]). Significant improvements by these biomarkers were also seen on top of the GDRSadapted model plus HbA1c in both studies. CONCLUSION: The addition of 6 biomarkers significantly improved the prediction of type 2 diabetes when added to a noninvasive clinical model or to a clinical model plus HbA1c.

Cross-sectional and prospective relationships of endogenous progestogens and estrogens with glucose metabolism in men and women: a KORA F4/FF4 Study.

INTRODUCTION: Relationships between endogenous female sex hormones and glycemic traits remain understudied, especially in men. We examined whether endogenous 17α-hydroxyprogesterone (17-OHP), progesterone, estradiol (E2), and free estradiol (fE2) were associated with glycemic traits and glycemic deterioration. RESEARCH DESIGN AND METHODS: 921 mainly middle-aged and elderly men and 390 perimenopausal/postmenopausal women from the German population-based Cooperative Health Research in the Region of Augsburg (KORA) F4/FF4 cohort study were followed up for a median of 6.4 years. Sex hormones were measured at baseline using mass spectrometry. We calculated regression coefficients (ß) and ORs with 95% CIs using multivariable-adjusted linear and logistic regression models for Z-standardized hormones and glycemic traits or glycemic deterioration (ie, worsening of categorized glucose tolerance status), respectively. RESULTS: In the cross-sectional analysis (n=1222 men and n=594 women), in men, 17-OHP was inversely associated with 2h-glucose (2hG) (ß=-0.067, 95% CI -0.120 to -0.013) and fasting insulin (ß=-0.074, 95% CI -0.118 to -0.030), and positively associated with Quantitative Insulin Sensitivity Check Index (QUICKI) (ß=0.061, 95% CI 0.018 to 0.105). Progesterone was inversely associated with fasting insulin (ß=-0.047, 95% CI -0.088 to -0.006) and positively associated with QUICKI (ß=0.041, 95% CI 0.001 to 0.082). E2 was inversely associated with fasting insulin (ß=-0.068, 95% CI -0.116 to -0.020) and positively associated with QUICKI (ß=0.059, 95% CI 0.012 to 0.107). fE2 was positively associated with glycated hemoglobin (HbA1c) (ß=0.079, 95% CI 0.027 to 0.132). In women, 17-OHP was positively associated with fasting glucose (FG) (ß=0.068, 95% CI 0.014 to 0.123). fE2 was positively associated with FG (ß=0.080, 95% CI 0.020 to 0.141) and HbA1c (ß=0.121, 95% CI 0.062 to 0.180). In the sensitivity analyses restricted to postmenopausal women, we observed a positive association between 17-OHP and glycemic deterioration (OR=1.518, 95% CI 1.033 to 2.264). CONCLUSIONS: Inter-relations exist between female sex hormones and glucose-related traits among perimenopausal/postmenopausal women and insulin-related traits among men. Endogenous progestogens and estrogens appear to be involved in glucose homeostasis not only in women but in men as well. Further well-powered studies assessing causal associations between endogenous female sex hormones and glycemic traits are warranted.

Sex hormone-binding globulin, androgens and mortality: the KORA-F4 cohort study.

OBJECTIVE: Sex hormone-binding globulin (SHBG) and androgens have been associated with mortality in women and men, but controversy still exists. Our objective was to investigate associations of SHBG and androgens with all-cause and cause-specific mortality in men and women. DESIGN: 1006 men and 709 peri- and postmenopausal women (age range: 45-82 years) from the German population-based KORA F4 cohort study were followed-up for a median of 8.7 years. METHODS: SHBG was measured with an immunoassay, total testosterone (TT) and dihydrotestosterone (DHT) with mass-spectrometry in serum samples and we calculated free testosterone (cFT). To assess associations between SHBG and androgen levels and mortality, we calculated hazard ratios (HRs) with 95% CIs using Cox proportional-hazards models. RESULTS: In the cohort, 128 men (12.7%) and 70 women (9.9%) died. In women, we observed positive associations of SHBG with all-cause (HR: 1.54, 95% CI: 1.16-2.04) and with other disease-related mortality (HR: 1.86, 95% CI: 1.08-3.20) and for DHT with all-cause mortality (HR: 1.32, 95% CI: 1.00-1.73). In men, we found a positive association of SHBG (HR: 1.24 95% CI: 1.00-1.54) and inverse associations of TT (HR: 0.87, 95% CI: 0.77-0.97) and cFT (HR: 0.84, 95% CI: 0.73-0.97) with all-cause mortality. No other associations were found for cause-specific mortality. CONCLUSIONS: Higher SHBG levels were associated with increased risk of all-cause mortality in men and women. Lower TT and cFT levels in men and higher DHT levels in women were associated with increased risk of all-cause mortality. Future, well-powered population-based studies should further investigate cause-specific mortality risk.

Association of endothelial dysfunction with incident prediabetes, type 2 diabetes and related traits: the KORA F4/FF4 study.

INTRODUCTION: Peripheral arterial tonometry (PAT) is an operator-independent and non-invasive measurement method to assess microvascular endothelial function in the fingertips. PAT-derived measures of endothelial function were associated with type 2 diabetes in cross-sectional studies. However, longitudinal studies are lacking. The study aims to investigate the association of two PAT-derived endothelial function parameters reactive hyperemia index (RHI) and mean baseline amplitude (MBA) with follow-up glucose and insulin parameters and the development of (pre)diabetes and type 2 diabetes. RESEARCH DESIGN AND METHODS: The study included 673 participants initially without diabetes (328 men and 345 women) aged 52-71 years from the prospective population-based Cooperative Health Research in the Region of Augsburg F4/FF4 cohort study conducted in Southern Germany (baseline examination F4: 2006-2008; follow-up FF4: 2013-2014). An oral glucose tolerance test was performed at baseline and follow-up to define type 2 diabetes, prediabetes, fasting glucose, fasting insulin, 2-hour glucose, homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment of beta-cell function and hemoglobin A1c. RESULTS: In multivariable adjusted logistic/linear regression models, a 1 SD increase in baseline RHI was inversely associated with incident type 2 diabetes (OR 0.69 (95% CI 0.48 to 0.97)) as well as with fasting insulin (ß -0.069 (95% CI -0.131 to -0.007)) and HOMA-IR (ß -0.072 (95% CI -0.133 to -0.010)) at follow-up in participants with initial normoglycemia. A 1 SD increase in baseline MBA was positively associated with incident (pre)diabetes (OR 1.62 (95% CI 1.25 to 2.11)) and fasting glucose (ß 0.096 (95% CI 0.047 to 0.146)) at follow-up in participants with initial normoglycemia. CONCLUSIONS: Microvascular endothelial dysfunction seems to be involved in the development of early derangements in glucose metabolism and insulin resistance and could thereby trigger the development of prediabetes and type 2 diabetes.

Do alternative weighting approaches for an Index of Multiple Deprivation change the association with mortality? A sensitivity analysis from Germany.

OBJECTIVES: This study aimed to assess the impact of using different weighting procedures for the German Index of Multiple Deprivation (GIMD) investigating their link to mortality rates. DESIGN AND SETTING: In addition to the original (normative) weighting of the GIMD domains, four alternative weighting approaches were applied: equal weighting, linear regression, maximization algorithm and factor analysis. Correlation analyses to quantify the association between the differently weighted GIMD versions and mortality based on district-level official data from Germany in 2010 were applied (n=412 districts). OUTCOME MEASURES: Total mortality (all age groups) and premature mortality (<65 years). RESULTS: All correlations of the GIMD versions with both total and premature mortality were highly significant (p<0.001). The comparison of these associations using Williams's t-test for paired correlations showed significant differences, which proved to be small in respect to absolute values of Spearman's rho (total mortality: between 0.535 and 0.615; premature mortality: between 0.699 and 0.832). CONCLUSIONS: The association between area deprivation and mortality proved to be stable, regardless of different weighting of the GIMD domains. The theory-based weighting of the GIMD should be maintained, due to the stability of the GIMD scores and the relationship to mortality.