Diabetes evolves through prediabetes, defined as impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT). Subjects with IFG/IGT have an increased risk of developing diabetes and a higher prevalence of cardiovascular disease than normoglycemic individuals. However, there is considerable evidence that glucose levels lower than those meeting the current definition of prediabetes may also be associated with similar concerns, particularly in high-risk individuals in accordance with a continuous glycemic risk perspective. Therefore, an absolute definition of prediabetes may underestimate the implications and vastness of this disorder. Research should focus on these aspects to minimize the risk of developing a preventable condition.
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http://dx.doi.org/10.1016/j.mcna.2010.11.002 | DOI Listing |
Sci Rep
December 2024
Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA.
The objective of this study was to develop and evaluate a novel behavioral intervention (PRIME2) that integrates evidence-based approaches for reducing diabetes risk and perceived stress. We conducted a pilot randomized controlled trial of the 16-session PRIME2 intervention vs. usual care among 40 Spanish-speaking Latinx adults with prediabetes and body mass index (BMI) ≥ 25 kg/m.
View Article and Find Full Text PDFJ Am Heart Assoc
December 2024
Cardiometabolic Medicine Center, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Background: The optimal definition and risk stratification approach to identify high-risk patients with prediabetes and stable coronary heart disease has not been well studied to date. The objective of the current study is to compare the prognostic value of different definitions of prediabetes, and to explore the role of "very-high-risk" (VHR) criteria according to the 2018 American Heart Association/American College of Cardiology cholesterol guideline in the risk stratification of patients with prediabetes and stable coronary heart disease.
Methods And Results: This prospective large-cohort study enrolled a total of 7930 patients with stable coronary heart disease.
Alzheimers Dement
December 2024
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Introduction: This study investigated the associations of brain age gap (BAG)-a biological marker of brain resilience-with life exposures, neuroimaging measures, biological processes, and cognitive function.
Methods: We derived BAG by subtracting predicted brain age from chronological age in 739 septuagenarians without dementia or neurological disorders. Robust linear regression models assessed BAG associations with life exposures, plasma inflammatory and metabolic biomarkers, magnetic resonance imaging, and cerebrospinal fluid biomarkers of neurodegeneration and vascular brain injury, and cognitive performance.
Cardiovasc Diabetol
December 2024
Department of Medicine, Mike and Valeria Rosenbloom Centre for Cardiovascular Prevention, McGill University Health Centre-Royal Victoria Hospital, 1001 Boulevard Décarie, Montréal, Québec, H4A 3J1, Canada.
Objectives: Whether "prediabetes" merits particular clinical attention beyond the management of associated risk factors is controversial, particularly given the expansion of the definition of prediabetes from HbA1c 6.0-6.4% to 5.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, 525 Vine St, Winston-Salem, NC, 27101, USA.
Background: A prediction model that estimates the risk of elevated glycated hemoglobin (HbA1c) was developed from electronic health record (EHR) data to identify adult patients at risk for prediabetes who may otherwise go undetected. We aimed to assess the internal performance of a new penalized regression model using the same EHR data and compare it to the previously developed stepdown approximation for predicting HbA1c ≥ 5.7%, the cut-off for prediabetes.
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