Literature DB >> 21281834

Epidemiology of prediabetes.

Stephen Colagiuri1.   

Abstract

Identifying individuals at increased risk of developing diabetes has assumed increasing importance with the expansion of the evidence from clinical trials on the prevention or delay of type 2 diabetes using lifestyle modification and medication. The epidemiology of prediabetes depends on the diagnostic method used. Glucose measures defining impaired glucose tolerance and impaired fasting glucose levels identify about 10% of the adults to have prediabetes, whereas glycated hemoglobin-based criteria identify a significantly lower proportion of the population. Increasingly, multifactorial risk tools are being used and cut-points set to identify approximately 15% of the population as being at high risk.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21281834     DOI: 10.1016/j.mcna.2010.11.003

Source DB:  PubMed          Journal:  Med Clin North Am        ISSN: 0025-7125            Impact factor:   5.456


  17 in total

1.  Ischemic stroke in prediabetic patients.

Authors:  Jaume Roquer; Ana Rodríguez-Campello; Elisa Cuadrado-Godia; Eva Giralt-Steinhauer; Jordi Jiménez-Conde; Irene R Dégano; Angel Ois
Journal:  J Neurol       Date:  2014-07-15       Impact factor: 4.849

Review 2.  Relations between metabolic homeostasis, diet, and peripheral afferent neuron biology.

Authors:  Tamara N Dunn; Sean H Adams
Journal:  Adv Nutr       Date:  2014-07-14       Impact factor: 8.701

3.  Glycated hemoglobin in diagnosis of diabetes mellitus and pre-diabetes; validation by oral glucose tolerance test. The Tromsø OGTT Study.

Authors:  M S Hutchinson; R M Joakimsen; I Njølstad; H Schirmer; Y Figenschau; R Jorde
Journal:  J Endocrinol Invest       Date:  2011-12-16       Impact factor: 4.256

4.  Calcium-calmodulin-dependent protein kinase mediates the intracellular signalling pathways of cardiac apoptosis in mice with impaired glucose tolerance.

Authors:  Marilen Federico; Enrique L Portiansky; Leandro Sommese; Francisco J Alvarado; Paula G Blanco; Carolina N Zanuzzi; John Dedman; Marcia Kaetzel; Xander H T Wehrens; Alicia Mattiazzi; Julieta Palomeque
Journal:  J Physiol       Date:  2017-03-02       Impact factor: 5.182

Review 5.  A review of the hypoglycemic effects of five commonly used herbal food supplements.

Authors:  Ruitang Deng
Journal:  Recent Pat Food Nutr Agric       Date:  2012-04-01

6.  Detecting prediabetes among Hispanics/Latinos from diverse heritage groups: Does the test matter? Findings from the Hispanic Community Health Study/Study of Latinos.

Authors:  M Larissa Avilés-Santa; Cynthia M Pérez; Neil Schneiderman; Peter J Savage; Robert C Kaplan; Yanping Teng; Erick L Suárez; Jianwen Cai; Aida L Giachello; Gregory A Talavera; Catherine C Cowie
Journal:  Prev Med       Date:  2016-12-10       Impact factor: 4.018

Review 7.  Lifestyle and the Prevention of Type 2 Diabetes: A Status Report.

Authors:  Karla I Galaviz; K M Venkat Narayan; Felipe Lobelo; Mary Beth Weber
Journal:  Am J Lifestyle Med       Date:  2015-11-24

Review 8.  A methodological perspective on genetic risk prediction studies in type 2 diabetes: recommendations for future research.

Authors:  Sara M Willems; Raluca Mihaescu; Eric J G Sijbrands; Cornelia M van Duijn; A Cecile J W Janssens
Journal:  Curr Diab Rep       Date:  2011-12       Impact factor: 4.810

9.  Early cardiac changes in a rat model of prediabetes: brain natriuretic peptide overexpression seems to be the best marker.

Authors:  Sara Nunes; Edna Soares; João Fernandes; Sofia Viana; Eugénia Carvalho; Frederico C Pereira; Flávio Reis
Journal:  Cardiovasc Diabetol       Date:  2013-03-07       Impact factor: 9.951

10.  Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study.

Authors:  William V Bobo; William O Cooper; C Michael Stein; Mark Olfson; Jackie Mounsey; James Daugherty; Wayne A Ray
Journal:  BMC Med Res Methodol       Date:  2012-08-24       Impact factor: 4.615

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