Dataset Information

Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study.

ABSTRACT: Our aim was to determine the incidence of type 2 diabetes mellitus in a nation-wide population based cohort from Spain (di@bet.es study). The target was the Spanish population. In total 5072 people older than 18 years,were randomly selected from all over Spain). Socio-demographic and clinical data, survey on habits (physical activity and food consumption) and weight, height, waist, hip and blood pressure were recorder. A fasting blood draw and an oral glucose tolerance test were performed. Determinations of serum glucose were made. In the follow-up the same variables were collected and HbA1c was determined. A total of 2408 subjects participated in the follow-up. In total, 154 people developed diabetes (6.4% cumulative incidence in 7.5 years of follow-up). The incidence of diabetes adjusted for the structure of age and sex of the Spanish population was 11.6 cases/1000 person-years (IC95%?=?11.1-12.1). The incidence of known diabetes was 3.7 cases/1000 person-years (IC95%?=?2.8-4.6). The main risk factors for developing diabetes were the presence of prediabetes in cross-sectional study, age, male sex, obesity, central obesity, increase in weight, and family history of diabetes. This work provides data about population-based incidence rates of diabetes and associated risk factors in a nation-wide cohort of Spanish population.

SUBMITTER: Rojo-Martinez G

PROVIDER: S-EPMC7026031 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study.

Rojo-Martínez G G Valdés S S Soriguer F F Vendrell J J Urrutia I I Pérez V V Ortega E E Ocón P P Montanya E E Menéndez E E Lago-Sampedro A A González-Frutos T T Gomis R R Goday A A García-Serrano S S García-Escobar E E Galán-García J L JL Castell C C Badía-Guillén R R Aguilera-Venegas G G Girbés J J Gaztambide S S Franch-Nadal J J Delgado E E Chaves F J FJ Castaño L L Calle-Pascual A A

Scientific reports 20200217 1

Our aim was to determine the incidence of type 2 diabetes mellitus in a nation-wide population based cohort from Spain (di@bet.es study). The target was the Spanish population. In total 5072 people older than 18 years,were randomly selected from all over Spain). Socio-demographic and clinical data, survey on habits (physical activity and food consumption) and weight, height, waist, hip and blood pressure were recorder. A fasting blood draw and an oral glucose tolerance test were performed. Deter ...[more]

PMID: 32066839

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Project description:ObjectiveTo estimate the prevalence of depression in patients diagnosed with type 2 diabetes mellitus (T2DM), and to identify sociodemographic, clinical and psychological factors associated with depression in this population. Additionally, we examine the annual incidence rate of depression among patients with T2DM.MethodsWe performed a large prospective cohort study of patients with T2DM from the Madrid Diabetes Study. The first recruitment drive included 3443 patients. The second recruitment drive included 727 new patients. Data have been collected since 2007 (baseline visit) and annually during the follow-up period (since 2008).ResultsDepression was prevalent in 20.03% of patients (n=592; 95%?CI 18.6% to 21.5%) and was associated with previous personal history of depression (OR 6.482; 95%?CI 5.138 to 8.178), mental health status below mean (OR 1.423; 95%?CI 1.452 to 2.577), neuropathy (OR 1.951; 95%?CI 1.423 to 2.674), fair or poor self-reported health status (OR 1.509; 95%?CI 1.209 to 1.882), treatment with oral antidiabetic agents plus insulin (OR 1.802; 95%?CI 1.364 to 2.380), female gender (OR 1.333; 95%?CI 1.009 to 1.761) and blood cholesterol level (OR 1.005; 95%?CI 1.002 to 1.009). The variables inversely associated with depression were: being in employment (OR 0.595; 95%?CI 0.397 to 0.894), low physical activity (OR 0.552; 95%?CI 0.408 to 0.746), systolic blood pressure (OR 0.982; 95%?CI 0.971 to 0.992) and social support (OR 0.978; 95%?CI 0.963 to 0.993). In patients without depression at baseline, the incidence of depression after 1?year of follow-up was 1.20% (95% CI 1.11% to 2.81%).ConclusionsDepression is very prevalent among patients with T2DM and is associated with several key diabetes-related outcomes. Our results suggest that previous mental status, self-reported health status, gender and several diabetes-related complications are associated with differences in the degree of depression. These findings should alert practitioners to the importance of detecting depression in patients with T2DM.

Project description:IntroductionThe diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabetes phenotypes by immunologic, metabolic, and genetic markers. We classified patients into three groups according to islet autoantibody status and examined whether patients with multiple diabetes-associated autoantibodies, one autoantibody, or without autoantibodies differed with respect to clinical, metabolic, and genetic parameters, including an insulin sensitivity (IS) score based on waist, HbA1c, and triglycerides. We also assessed whether metabolic markers predicted the immune status.Materials and methodsAs of June 2012, 630 patients in Bavaria, Germany, aged <20 years diagnosed with any type of diabetes within the preceding 6 months were registered in DiMelli. We compared the clinical and laboratory parameters between islet autoantibody status defined patient groups. Parameters showing the strongest associations were included in principal component analysis. Receiver operating characteristic curves were used to assess the ability of the IS Score to predict islet autoantibody status.ResultsPatients with multiple islet autoantibodies, one autoantibody, or without autoantibodies were significantly different in terms of BMI percentile, weight loss before diagnosis, fasting C-peptide (all, P<0.001), and IS Score (P=0.034). However, principal component analysis revealed no distinct patterns according to autoantibody status. At the optimal IS Score cut-off for predicting islet autoantibody positivity (single compared to none), the specificity was 52.0% and the sensitivity was 86.8%. With respect to prediction of multiple autoantibodies (compared to none), specificity and sensitivity were slightly lower and in combination inferior to those obtained using the BMI percentile and fasting C-peptide.DiscussionThe DiMelli study indicated that patients with and without islet autoantibodies differed with respect to metabolic and genetic markers but there was considerable overlap of phenotypes, and autoantibody status could not be predicted by these parameters. Thus, our results suggest that refined diabetes classification may require both immune and metabolic phenotyping.

Project description:BackgroundGenetic knowledge of gestational diabetes mellitus (GDM) in Chinese women is quite limited. This study aimed to identify the risk factors and mechanism of GDM at the genetic level in a Chinese population.MethodsWe conducted a genome-wide association study (GWAS) based on single nucleotide polymorphism (SNP) array genotyping (ASA-CHIA Bead chip, Illumina) and a case-cohort study design. Variants including SNPs, copy number variants (CNVs), and insertions-deletions (InDels) were called from genotyping data. A total of 2232 pregnant women were enrolled in their first/second trimester between February 2018 and December 2020 from Anqing Municipal Hospital in Anhui Province, China. The GWAS included 193 GDM patients and 819 subjects without a diabetes diagnosis, and risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated by a regression-based method conditional on the population structure. The calling and quality control of genotyping data were performed following published guidelines. CNVs were merged into CNV regions (CNVR) to simplify analyses. To interpret the GWAS results, gene mapping and overexpression analyses (ORAs) were further performed to prioritize the candidate genes and related biological mechanisms.ResultsWe identified 14 CNVRs (false discovery rate corrected P values < 0.05) and two suggestively significant SNPs (P value < 0.00001) associated with GDM, and a total of 19 candidate genes were mapped. Ten genes were significantly enriched in gene sets related to lipase (triglyceride lipase and lipoprotein lipase) activity (LIPF, LIPK, LIPN, and LIPJ genes), oxidoreductase activity (TPH1 and TPH2 genes), and cellular components beta-catenin destruction complex (APC and GSK3B genes), Wnt signalosome (APC and GSK3B genes), and lateral element in the Gene Ontology resource (BRCA1 and SYCP2 genes) by two ORA methods (adjusted P values < 0.05).ConclusionsGenes related to lipolysis, redox reaction, and proliferation of islet β-cells are associated with GDM in Chinese women. Energy metabolism, particularly lipolysis, may play an important role in GDM aetiology and pathology, which needs further molecular studies to verify.

Dataset Information

Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study.

Publications

Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study.

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