Published: Nature
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Authors: NCD Risk Factor Collaboration (NCD-RisC)
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High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health
Published: Diabetes Care
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Authors: William I Sivitz 1 , Lawrence S Phillips 2 3 , Deborah J Wexler 4 , Stephen P Fortmann 5 , Anne W Camp 6 , Margaret Tiktin 7 , Magalys Perez 6 , Jacqueline Craig 8 , Priscilla A Hollander 9 , Andrea Cherrington 10 , Vanita R Aroda 11 , Meng Hee Tan 12 , Jonathan Krakoff 13 , Neda Rasouli 14 , Nicole M Butera 15 , Naji Younes 15 , GRADE Research Group
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We evaluated the effect of optimizing metformin dosing on glycemia and body weight in type 2 diabetes.
Published: Nature
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Authors: NCD Risk Factor Collaboration (NCD-RisC)
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Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3-6
Published: Primary Care Diabetes
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Authors: Marcos M Lima-Martínez 1 , Carlos Arrau 2 , Saimar Jerez 2 , Mariela Paoli 3 , Juan P González-Rivas 4 , Ramfis Nieto-Martínez 5 , Gianluca Iacobellis 6
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LINK TO RESEARCH https://pubmed.ncbi.nlm.nih.gov/27914905/ ABSTRACT Aim: To assess the relationship between 25-hydroxyvitamin D [25(OH)D] blood concentrations in subjects with obesity and type 2 diabetes mellitus (T2D) risk according to the...
Published: Journal of Pediatric Nursing
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Authors: Jennifer McGuire Hitt 1 , Pedro Velasquez-Mieyer 2 , Claudia Neira 2 , Patricia Cowan 3
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We sought to examine the correlation between variables and A1C levels to determine if prediction modeling could be used in the screening and diagnosis of diabetes and prediabetes in youth. We also sought to test relationships between A1C levels to insulin sensitivity indices and β-cell function indices. Design and methods: We performed a retrospective review of 904 medical records from youth deemed at-risk for the disease.
Published: The Lancet Diabetes & Endocrinology
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Authors: NCD Risk Factor Collaboration (NCD-RisC)
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Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions.
Published: Applied Nursing Research
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Authors: Shirleatha Lee 1 , Patricia Ann Cowan, Pedro Velasquez-Mieyer
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This descriptive pilot study examined if manual corrected QT (QTc) interval measures obtained from a standard 12-lead electrocardiogram (ECG) correlated with automated 24-hour ambulatory Holter QTc measures in 30 overweight and obese youth aged 12-17 years.
Published: The Journal of Pediatric Nursing
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Authors: Shirleatha Lee 1 , Patricia Ann Cowan, Glenn T Wetzel, Pedro Velasquez-Mieyer
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This ancillary, descriptive correlational study examined the effect of glucose regulation, blood pressure (BP), and their combined effects on cardiac autonomic function in 128 overweight-obese 11-18-year-olds.
Published: Journal of the American Academy of Nurse Practitioners
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Authors: Claudia P Neira 1 , Margaret Hartig, Patricia A Cowan, Pedro A Velasquez-Mieyer
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LINK TO RESEARCH https://pubmed.ncbi.nlm.nih.gov/19302694/ ABSTRACT Purpose: The purposes of this observational prospective study were (a) to identify the prevalence of undiagnosed impaired glucose metabolism (IGM) including impaired fasting glucose (IFG),...