{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:34:46Z","timestamp":1777289686079,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T00:00:00Z","timestamp":1674691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"BMBF"},{"name":"Munich Center of Health Sciences (MC-Health)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medicina"],"abstract":"<jats:p>Background: In contrast to studies in patients, an association between obesity and blood coagulation factors has not been established in the population. If confirmed it could become a target for primary prevention. Objective: To investigate the relationship between Body Mass Index (BMI) and waist circumference (WC) with plasma concentrations of antithrombin III, D-dimers, fibrinogen D, protein S, factor VIII, activated partial thromboplastin time (aPTT), quick value, and international normalized ratio (INR) in the general population. Materials and Methods: Participants of the Cooperative Health Research in the Region of Augsburg (KORA) S4 study who took part in the KORA Fit follow-up (2018\u20132019, aged 54\u201374 years) examination were eligible. Citrate plasma samples were collected in fasted participants. After the exclusion of participants with anticoagulative treatment, 776 participants (420 women and 356 men) with analytic data on hemostatic factors were included in the present analysis. Linear regression models were used to explore the association between BMI or WC with hemostatic markers, adjusted for sex, age, alcohol consumption, education, smoking status, and physical activity. In a second model, additional adjustments were made for the prevalence of stroke, hypertension, myocardial infarction, serum non-HDL cholesterol, and serum triglycerides. Results: In the multivariable models (with or without health conditions), significant positive associations with BMI were obtained for plasma concentrations of D-dimers, factor VIII, fibrinogen D, protein S, and quick value, while INR and antithrombin III were inversely associated. Similar to BMI, WC was significantly associated with all hemostatic factors, except for aPTT. Conclusion: In this population-based study, both increasing BMI and WC affect the blood coagulation system. Thus, modification of a prothrombotic coagulation profile emerged as a potential target for primary prevention in obese subjects.<\/jats:p>","DOI":"10.3390\/medicina59020228","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T01:58:59Z","timestamp":1674784739000},"page":"228","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Body Mass Index and Waist Circumference as Determinants of Hemostatic Factors in Participants of a Population-Based Study"],"prefix":"10.3390","volume":"59","author":[{"given":"Maximilian","family":"Iglesias Morcillo","sequence":"first","affiliation":[{"name":"Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7188-9087","authenticated-orcid":false,"given":"Dennis","family":"Freuer","sequence":"additional","affiliation":[{"name":"Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6645-0985","authenticated-orcid":false,"given":"Annette","family":"Peters","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Helmholtz Zentrum M\u00fcnchen, 85764 Neuherberg, Germany"},{"name":"Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, 81377 M\u00fcnchen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Margit","family":"Heier","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Helmholtz Zentrum M\u00fcnchen, 85764 Neuherberg, Germany"},{"name":"KORA Study Centre, University Hospital Augsburg, 86156 Augsburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christine","family":"Meisinger","sequence":"additional","affiliation":[{"name":"Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9386-382X","authenticated-orcid":false,"given":"Jakob","family":"Linseisen","sequence":"additional","affiliation":[{"name":"Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany"},{"name":"Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, 81377 M\u00fcnchen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,26]]},"reference":[{"key":"ref_1","unstructured":"Bethesda, M. 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