Background: Current evidence suggests an association of uric acid with diabetes risk, but it is still unclear whether uric acid is merely a risk marker or an independent risk factor. We evaluate the impact of serum uric acid (SUA) levels on the future risk of developing type 2 diabetes, independent of other factors.
Methods: A population-based cohort study was conducted among 4130 participants who were found to be free of type 2 diabetes at baseline recruitment in 2002. Baseline SUA measured in 2002 was longitudinally related to the incident type 2 diabetes that occurred during the follow-up period between 2002 and 2007. Hazard ratios (HRs) and 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to quantify the association.
Results: There was a graded increase in the incidence of type 2 diabetes among individuals with increasing levels of SUA. In the whole study cohort, compared to quartile 1, the multivariable-adjusted HRs (95% CIs) of type 2 diabetes in quartile 2, quartile 3, and quartile 4 were 1.69 (0.76-3.76), 1.86 (0.88-4.26), and 1.94 (1.05-4.05), respectively (P for trend = 0.004). This positive gradient for the risk of type 2 diabetes across quartiles of SUA was evident in both genders and across age groups.
Conclusions: This study supports that high uric acid concentrations are associated with increased diabetes risk, independent of other known risk factors. These data expand on well-established associations between SUA level and metabolic syndrome, and extend the link to the future risk of type 2 diabetes.
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http://dx.doi.org/10.3390/ijerph17072277 | DOI Listing |
Diabet Med
December 2024
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Aims: We explored the prevalence of disordered eating behaviours (DEBs) and attitudes among older adults with type 1 diabetes (T1D) and associations with demographic and clinical variables.
Methods: Adults aged ≥65 years with T1D from a university-affiliated hospital system completed an electronic survey (September to November 2023) including the Diabetes Eating Problem Survey-Revised (DEPS-R). Clinical data were extracted from medical records.
Scand J Gastroenterol
December 2024
Norwegian Coeliac Disease Research Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Objectives: Concurrent type 1 diabetes (T1D) and celiac disease (CeD) pose challenges in insulin dosage adjustments and gluten-free dietary adherence. Urine testing for gluten immunogenic peptides (GIP) is a new method to detect gluten exposure within the last 3-12 h. Our aims were to compare gluten-free dietary adherence between T1D + CeD and CeD individuals and evaluate urinary GIP testing in an outpatient setting.
View Article and Find Full Text PDFMed Sci Monit
December 2024
Independent Laboratory of Minimally Invasive Gynecology and Gynecological Endocrinology, Medical University of Lublin, Lublin, Poland.
Polycystic ovary syndrome (PCOS) is associated with several mild metabolic disorders, including insulin resistance (IR), obesity, and dyslipidemia, as well as with some more severe ones, including type 2 diabetes mellitus, non-alcoholic fatty liver disease (NAFLD), and cardiovascular disease. Clinically, mild metabolic complications of PCOS such as IR or lipid metabolism disorders are the predictors of these more severe ones. So far, there is no reliable single marker that enables defining metabolic risk in patients with PCOS.
View Article and Find Full Text PDFCardiovasc Diabetol
December 2024
INSERMU1138-Centre de Recherche Des Cordeliers, Paris Cite University, Sorbonne University, 75006, Paris, France.
Hypertension, cardiovascular disease and kidney failure are associated with persistent hyperglycaemia and the subsequent development of nephropathy in people with diabetes. Diabetic nephropathy is associated with widespread vascular disease affecting both the kidney and the heart from an early stage. However, the risk of diabetic nephropathy in people with type 1 diabetes is strongly genetically determined, as documented in familial transmission studies.
View Article and Find Full Text PDFPilot Feasibility Stud
December 2024
Sheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK.
Background: There is a lack of practical guidance about how to effectively mobilise knowledge at the pre-trial stage. Despite increased guidance on developing complex interventions in recent years, much of this focuses on the theory and principles behind high-quality intervention development, rather than the practical aspects of how this should be achieved. This paper shares the findings from an embedded, qualitative evaluation of the Collaborative Working Group (CWG) process, a structured approach we developed to iteratively refine a complex intervention prior to a randomised controlled trial.
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