Background: During an oral glucose tolerance test (OGTT), morphological features of the glucose curve (monophasic curve, glucose peak >30 minutes and 1-hour glucose ≥ 155 mg/dL) maybe associated with higher prediabetes risk, but their reproducibility and predictive ability in adolescents with obesity are unknown.
Methods: Nondiabetic adolescent girls with obesity underwent a multiple-sample OGTT at baseline (n = 93), 6 weeks (n = 83), and 1 year (n = 72). Short-term reproducibility (baseline to 6 weeks) and the predictive ability for prediabetes (baseline to 1 year) for each feature were compared with standard fasting and 2-hour OGTT diagnostic criteria.
Results: There was fair/moderate short-term reproducibility (κ < 0.5) for all morphological features. At 1 year, compared with standard OGTT criteria, the areas under the receiver operating curve (ROC-AUCs) for glucose peak > 30 minutes, 1 hour ≥155 mg/dL or a combination of the two criteria were comparable (all P > 0.05), but the monophasic curve had the lowest ROC-AUC (P < 0.001).
Conclusions: In adolescent girls with obesity, glucose peak > 30 minutes and/or glucose ≥155 mg/dL had similar reproducibility and 1-year predictive ability for prediabetes compared with standard OGTT criteria. The shortened 1-hour OGTT may provide diagnostic equivalence for prediabetes risk with the additional advantage of a less time-consuming risk assessment.
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http://dx.doi.org/10.1111/pedi.12803 | DOI Listing |
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
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View Article and Find Full Text PDFJ Anim Sci
January 2025
University of Minnesota, Department of Food Science and Nutrition, St. Paul, MN 55108 USA.
Feeding pigs lipids containing high levels of lipid oxidation products (LOP) has been shown to reduce growth performance, but data is lacking on quantitative relationships between LOP and pig growth, feed intake and feed efficiency. Four experiments (EXP) were conducted using soybean oil (SO) in EXP 1, 2, and 3, as well as SO, choice white grease (CWG) and palm oil (PO) in EXP 4, to evaluate the impact of feeding diets containing different amounts of LOP on pig performance. Lipid peroxidation was carried out using variable heating temperatures and durations to generate lipids with a broad range of peroxide (PV, mEq) and anisidine value (AnV, unitless).
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Institute of Grassland Science, School of Life Sciences, Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, China.
The intricate biogeochemical cycling of multiple elements plays a pivotal role in upholding a myriad of ecosystem functions. However, our understanding of elemental stoichiometry and coupling in response to global changes remains primarily limited to plant carbon: nitrogen: phosphorus (C: N: P). Here, we assessed the responses of 11 elements in plants from different functional groups to global changes.
View Article and Find Full Text PDFBMC Geriatr
January 2025
School of Medicine, Qom University of Medical Sciences, Qom, Iran.
Introduction: Intrinsic Capacity in integrated geriatric care emphasizes the importance of a thorough functional assessment. Monitoring the intrinsic capacity of older individuals provides standardized and reliable information to prevent early disability. This study assessed the relationship between intrinsic capacity and functional ability in older adults.
View Article and Find Full Text PDFSci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
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