Diabetes Mellitus Risk Prediction in the Framingham Offspring Study and Large Population Analysis.
Background: Diabetes mellitus is a major cause of death and a significant risk factor for cardiovascular disease, kidney failure, neuropathy, and retinopathy. Our objectives were to develop a diabetes risk model and apply it to a large population. Methods: Non-diabetic adults in the Framingham Offsp...
| Publicado en: | Nutrients Vol. 17; no. 7; pp. 1117 - 1130 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184440099&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184440099 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20726643 B0TT jtl: Nutrients issn: 20726643 maglogo: N pubinfo: dt: Apr2025 vid: 17 iid: 7 pid: 97109 pub: MDPI artinfo: ui: 184440099 184440099 184440099 10.3390/nu17071117 184440099 ppf: 1117 ppct: 13 formats: tig: atl: Diabetes Mellitus Risk Prediction in the Framingham Offspring Study and Large Population Analysis. aug: au: Ai, Masumi Otokozawa, Seiko Liu, Ching-Ti Asztalos, Bela F. Maddalena, Julia Diffenderfer, Margaret R. Russo, Giuseppina Thongtang, Nuntakorn Dansinger, Michael L. affil: Cardiovascular Nutrition Laboratory, Human Nutrition Research Center on Aging at Tufts University, Tufts University School of Medicine, Boston, MA 02111, USA sug: subj: Diabetes Mellitus Risk Factors Diabetes Mellitus Diagnosis Risk Assessment Prediction Models Human Massachusetts Female Male Middle Age Aged Prospective Studies Blood Glucose Monitoring Adiponectin Insulin Glycated Hemoglobin Cholesterol Triglycerides Lipoproteins, HDL Cholesterol Fasting Logistic Regression Body Mass Index T-Tests Kruskal-Wallis Test Relative Risk Confidence Intervals Descriptive Statistics Funding Source Middle Aged: 45-64 years Aged: 65+ years Female Male ab: Background: Diabetes mellitus is a major cause of death and a significant risk factor for cardiovascular disease, kidney failure, neuropathy, and retinopathy. Our objectives were to develop a diabetes risk model and apply it to a large population. Methods: Non-diabetic adults in the Framingham Offspring Study (n = 2416) were followed for 10 years for new diabetes. At baseline, the fasting serum glucose, adiponectin, insulin, glycated albumin, total cholesterol, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) were measured using standardized automated assays. Standard health information was collected. Diabetes risk prediction models were developed using logistic regression analysis and applied to a large population (n = 133,764). Results: In this prospective study, 166 subjects (6.9%) developed new-onset diabetes. Glucose, body mass index (BMI), log adiponectin, % log glycated albumin, parental diabetes, TG, and the use of cholesterol-lowering medications entered the model (C statistic: 0.924; 0.898, biochemical variables: 0.898, and fasting glucose: only 0.876). In the population in non-diabetic subjects (56.3) and prediabetic subjects (36.2%), the predicted 10-year diabetes risk rates were 0.4% and 5.5% with the biochemical model, respectively. Prediabetic and diabetic subjects were insulin-resistant compared to non-diabetic subjects, but only those with diabetes had significant reductions in their insulin production. Conclusions: The 10-year risk of diabetes can be accurately predicted and applied to large populations. Fasting glucose alone is diagnostic for diabetes and is an excellent predictor of future diabetes, with having prediabetes increasing the risk 6-fold. Insulin and C-peptide measurements are useful in diabetic subjects to detect decreased insulin production and the need for insulin therapy. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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