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Background: The metabolic syndrome is a decisive risk factor for the manifestation of cardiovascular and metabolic diseases. Metabolic syndrome is the term used to describe the joint presence of specific diseases (obesity, hypertension, type 2 diabetes mellitus, disorders of fat metabolism). A classification is made more difficult by inconsistent definition criteria and a missing International Statistical Classification of Diseases and Related Health Problems (ICD) code. There are no known prevalence studies for Germany based on routine data of the statutory health insurance (GKV).
Objective: The main aim of the present study was to classify the metabolic syndrome based on routine data of the GKV and to estimate the frequency of diagnosis. In addition, the influence of social factors (school and educational qualifications) was examined for the subgroup of employees with social insurance.
Material And Methods: A retrospective routine data analysis was carried out based on routine administrative data from the AOK Lower Saxony (AOKN). In contrast to the established definitions, which use medical parameters, the risk factors are taken into account via four coded diagnoses according to the ICD-10 classification: 1) obesity (E66.0, E66.8, E66.9), 2) type 2 diabetes mellitus (E11), 3) hypertension (I10) and 4) metabolic disorders (E78). A metabolic syndrome is present if at least two of the four diagnoses are present.
Results: The prevalence of metabolic syndrome in the population of the AOKN in 2019 was 25.7%. The standardized comparison according to the census population of 2011 showed an increase in the frequency of diagnosis (2009: 21.5% and 2019: 24%). The frequency of diagnosis differed according to school and educational qualifications.
Conclusion: A classification and analysis of the frequency of the metabolic syndrome based on routine data of the GKV is possible. Between 2009 and 2019 there was a clear increase in the frequency of diagnoses.
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http://dx.doi.org/10.1007/s00108-023-01510-4 | DOI Listing |
Clin Oral Investig
September 2025
Department of Periodontics, Saveetha Dental College, Saveetha Institute of Medical and Technology Sciences, SIMATS, Saveetha University, Chennai, Tamil Nadu, India.
Objectives: This study aims to assess periodontal and biochemical parameters and evaluate the salivary Protectin D1 levels in periodontitis patients with and without metabolic syndrome after non-surgical periodontal therapy.
Materials And Methods: Forty patients were categorized into two groups: 20 patients in Group P (systemically healthy patients with stage II/III grade B periodontitis) and 20 patients in Group P+MS (patients with stage II/III grade B periodontitis and metabolic syndrome). Parameters including age, gender, height, weight, body mass index, waist circumference, socio-economic status, oral hygiene index (OHI), modified gingival index (MGI), probing pocket depth, clinical attachment levels, fasting blood glucose, HDL-c, total triglycerides, and blood pressure were recorded.
J Nutr Biochem
September 2025
Department of Woman-Mother-Child, Division of Pediatrics, DOHaD Laboratory, University of Lausanne and Lausanne University Hospital, 1011 Lausanne, Switzerland. Electronic address:
Background: Individuals born after intrauterine growth restriction (IUGR) have a higher risk of developing metabolic syndrome (MetS) in adulthood. In a rat model, male IUGR offspring exhibit MetS features-including elevated systolic blood pressure, glucose intolerance, non-alcoholic fatty liver disease, and increased visceral adipose tissue (VAT)-by 6 months of age. Female offspring, however, do not.
View Article and Find Full Text PDFCalcif Tissue Int
September 2025
Department of Endocrinology, Post-Graduate Institute of Medical Education and Research (PGIMER), 001, Nehru Extension Block, Chandigarh, India.
Rare diseases, defined by the 2002 Rare Disease Act, affect fewer than 5 in 10,000 individuals. Rare metabolic bone diseases (MBDs), such as osteogenesis imperfecta, hypophosphatasia, osteopetrosis, and other unclassified disorders, can disrupt bone development and remodeling, posing diagnostic and management challenges. This study analyzed data from the rarembd.
View Article and Find Full Text PDFHeart Lung Circ
September 2025
Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia; Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia; Department of Cardiology, Central Adelaide Local Health Network, Adelaide, SA,
Cardiovascular-kidney-metabolic (CKM) syndrome is a term that is increasingly used to describe interconnected conditions that lead to poor health outcomes, including cardiovascular disease, chronic kidney disease, type 2 diabetes, and obesity. Historically, there have been very few targeted pharmacotherapies available that have changed cardiovascular outcomes for people with CKM syndromes; however, over the past decade, new pharmacologic options have rapidly expanded, with strong evidence for cardiovascular and kidney protective benefits in CKM conditions. Of note, sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists have emerged as key therapeutic options and are now widely guideline-endorsed.
View Article and Find Full Text PDFNutr Metab Cardiovasc Dis
July 2025
Instituto de Investigación e Innovación Biomédica de Cádiz, (INiBICA), Cádiz, Spain; GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Cadiz, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; UGC
Aims: The prevalence of metabolic syndrome (MetS) is increasing annually across all age groups, raising the risk of morbidity, mortality, diabetes and cardiovascular disease in adults, adolescents, and children. Active commuting (AC) provides an opportunity to increase physical activity and reduce the MetS risk. The purpose of this study was to synthesize the available evidence on the prevalence of MetS and MetS risk factors in relation to AC vs non-active commuting among adults, adolescents, and children.
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