Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD 21224, USA; Welch Prevention Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA. Electronic address: jechouf1@jhmi.edu.
1Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Department of Pharmacotherapeutics and Clinical Research, College of Pharmacy, University of South Florida, Tampa, Florida; Department of Family Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida. Electronic address: carris@health.usf.edu.
Clinic of Endocrinology, Diabetology and Internal Medicine, Department of Internal Medicine, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland.
Clinic of Endocrinology, Diabetology and Internal Medicine, Department of Internal Medicine, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland.
Clinic of Endocrinology, Diabetology and Internal Medicine, Department of Internal Medicine, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland.
Diabetic neuropathies are the most frequent complications of diabetes, contributing to high morbidity, excess mortality, reduced quality of life, and increased healthcare costs. Prediabetes is charact...
Type 2 diabetes mellitus (T2D) confers a greater risk of skeletal fragility and fracture. Whether prediabetes is detrimental to bone health is uncertain....
We summarize the current data on the associations of prediabetes with bone turnover, bone mineral density, bone quality, bone material properties and fracture risk....
In cross-sectional studies, prediabetes was associated with lower bone turnover and worse trabecular bone quality. A longitudinal analysis showed that larger increase in insulin resistance (in the abs...
Prediabetes is characterized by abnormal glycemic levels below the type 2 diabetes threshold, and effective control of blood glucose may prevent the progression to type 2 diabetes. While the associati...
India is witnessing an epidemic of type 2 diabetes. Overweight/obesity, overnutrition, physical inactivity, and family history are well-known risk factors for diabetes. We investigated the role of und...
DERVAN cohort study was set up in the KONKAN region of the western Indian state of Maharashtra. It enrolled 1,520 adolescent girls (16-18 years old at the time of enrollment). We measured glycemic par...
The median age of the subjects was 16.6 years. The median weight, height, and BMI were 40.7 kg, 151.7 cm, and 17.5 kg/m...
We have reported a high prevalence of prediabetes among rural adolescent girls with a very low prevalence of obesity. Prediabetes in obesity is driven by hyperinsulinemia and overworking of the pancre...
The term prediabetes describes a fasting blood glucose level that is elevated but not yet in the diabetic range, a blood glucose level that is elevated after 120 min in a standard 75‑g oral glucose to...
Glucose metabolism alterations in cystic fibrosis range from the classic cystic fibrosis-related diabetes (CFRD) to forms of glucose intolerance and prediabetes. The aim of the present work is to revi...
Confirm that Oral Glucose Tolerance Test is still the diagnostic gold standard despite the advent of continuous glucose monitoring (CGM) systems; this latter is spreading very rapidly, however, to dat...
Tailored and personalized insulin therapy is still the recommended therapy for children and adolescents with CFRD, although nutritional intervention and oral hypoglycaemic treatment are equally import...
Previous studies evaluating the association between prediabetes and depression have shown inconsistent results. Consequently, the aim of the systematic review and meta-analysis was to investigate whet...
Relevant observational studies were obtained by searching the Medline, Web of Science, and Embase databases. A random-effects model was utilized to pool the results by incorporating the influence of h...
Sixteen large-scale cross-sectional studies involving 322,863 participants were included. Among the total participants, 82,154 (25.4%) had prediabetes. The pooled results showed that prediabetes was a...
Prediabetes may be associated with a slightly higher prevalence of depression in the general population, particularly in subjects aged <50 years old....
HIV disease was transformed from a fatal condition to one with metabolic complications. In Mexico City, the associated factors for prediabetes in this population are unknown; investigating it is relev...
To determine the risk association factors for prediabetes in people living with HIV....
Cross-analytical, retrospective study. Records of patients living with HIV were reviewed, exposure factors and fasting glucose concentration were recorded. Patients from 18 to 65 years of age were inc...
148 patients were included, 68 presented prediabetes. The factors with risk association that were identified are: age over 60 years (OR 9.48, 95% CI 1.68-40.13), treatment with Efavirenz/Tenofovir/Emt...
The prevalence of prediabetes in people living with HIV is 46%. The main associated factor was the consumption of Atripla. This study has clinical relevance since it will allow the implementation of p...
Several clinical practice guidelines advise race- and ethnicity-based screening for youth-onset type 2 diabetes (T2D) due to a higher prevalence among American Indian and Alaska Native, Asian, Black, ...
To evaluate prediabetes prevalence by presence or absence of adverse SDOH in adolescents eligible for T2D screening based on weight status....
This cross-sectional study and analysis used data from the 2011 to 2018 cycles of the National Health and Nutrition Examination Survey. Data were analyzed from June 1, 2023, to April 5, 2024. Particip...
The main outcome consisted of an elevated hemoglobin A1c (HbA1c) level greater than or equal to 5.7% (prediabetes or undiagnosed presumed T2D). Independent variables included race, ethnicity, and adve...
The sample included 1563 individuals representing 10 178 400 US youths aged 12 to 18 years (mean age, 15.5 [95% CI, 15.3-15.6] years; 50.5% [95% CI, 47.1%-53.9%] female; Asian, 3.0% [95% CI, 2.2%-3.9%...
Adverse SDOH were associated with higher prediabetes prevalence, across and within racial and ethnic categories. Consideration of adverse SDOH may offer a more actionable alternative to race- and ethn...
Rates of prediabetes, which can lead to type 2 diabetes, are increasing worldwide. Interventions for prediabetes mainly focus on lifestyle changes to diet and exercise. While these interventions are e...
We developed a targeted search strategy and relevant studies were identified through searches conducted in four bibliographic databases (Medline, Embase, PsycInfo, and Scopus). Published studies were ...
Twenty-nine studies were included, of which nine were randomised controlled trials. Most efficacy studies reported significant changes in at least one primary and/or secondary outcome, including parti...
Whilst the evidence here suggests that digital interventions to support prediabetes self-management are acceptable and have the potential to reduce one's risk of progression to type 2 diabetes, more r...