Literature DB >> 27823603

Prediabetes: A Worldwide Epidemic.

Catherine M Edwards1, Kenneth Cusi2.   

Abstract

Prediabetes, defined by blood glucose levels between normal and diabetic levels, is increasing rapidly worldwide. This abnormal physiologic state reflects the rapidly changing access to high-calorie food and decreasing levels of physical activity occurring worldwide, with resultant obesity and metabolic consequences. This is particularly marked in developing countries. Prediabetes poses several threats; there is increased risk of developing type 2 diabetes mellitus (T2DM), and there are risks inherent to the prediabetes state, including microvascular and macrovascular disease. Studies have helped to elucidate the underlying pathophysiology of prediabetes and to establish the potential for treating prediabetes and preventing T2DM.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Impaired fasting glucose; Impaired glucose tolerance; Insulin resistance; Metabolic syndrome; Prediabetes; Type 2 diabetes; β-Cell

Mesh:

Year:  2016        PMID: 27823603     DOI: 10.1016/j.ecl.2016.06.007

Source DB:  PubMed          Journal:  Endocrinol Metab Clin North Am        ISSN: 0889-8529            Impact factor:   4.741


  22 in total

1.  Baseline glucoregulatory function moderates the effect of dairy milk and fruit juice on postprandial cognition in healthy young adults.

Authors:  Jason R Anderson; Misty A W Hawkins; John Updegraff; John Gunstad; Mary Beth Spitznagel
Journal:  Eur J Nutr       Date:  2017-07-13       Impact factor: 5.614

2.  Gender-specific differences of interaction between cadmium exposure and obesity on prediabetes in the NHANES 2007-2012 population.

Authors:  Fei Jiang; Xueyuan Zhi; Miao Xu; Bingyan Li; Zengli Zhang
Journal:  Endocrine       Date:  2018-05-30       Impact factor: 3.633

3.  The prevalence and predictors of pre-diabetes and diabetes among adults 40-70 years in Kharameh cohort study: A population-based study in Fars province, south of Iran.

Authors:  Masoumeh Ghoddusi Johari; Kimia Jokari; Alireza Mirahmadizadeh; Mozhgan Seif; Abbas Rezaianzadeh
Journal:  J Diabetes Metab Disord       Date:  2021-11-29

4.  A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Authors:  Kushan De Silva; Daniel Jönsson; Ryan T Demmer
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Diabetes-related behaviours among elderly people with pre-diabetes in rural communities of Hunan, China: a cross-sectional study.

Authors:  Bangan Luo; Jianglin Zhang; Zhao Hu; Fan Gao; Qiuhong Zhou; Shuang Song; Lulu Qin; Huilan Xu
Journal:  BMJ Open       Date:  2018-01-23       Impact factor: 2.692

Review 6.  MicroRNAs-Mediated Regulation of Skeletal Muscle GLUT4 Expression and Translocation in Insulin Resistance.

Authors:  João Victor Esteves; Francisco Javier Enguita; Ubiratan Fabres Machado
Journal:  J Diabetes Res       Date:  2017-03-27       Impact factor: 4.011

7.  Evaluation of the longitudinal deformation of the left ventricular myocardium in subjects with impaired fasting glucose with and without increased glycated hemoglobin.

Authors:  Niloofar Akhavan-Khaleghi; Ali Hosseinsabet
Journal:  Anatol J Cardiol       Date:  2018-01-24       Impact factor: 1.596

8.  Undiagnosed Diabetes and Prediabetes in Patients with Chronic Coronary Syndromes-An Alarming Public Health Issue.

Authors:  Natalia Drobek; Paweł Sowa; Piotr Jankowski; Maciej Haberka; Zbigniew Gąsior; Dariusz Kosior; Danuta Czarnecka; Andrzej Pająk; Karolina Szostak-Janiak; Agnieszka Krzykwa; Małgorzata Setny; Paweł Kozieł; Marlena Paniczko; Jacek Jamiołkowski; Irina Kowalska; Karol Kamiński
Journal:  J Clin Med       Date:  2021-05-05       Impact factor: 4.241

9.  A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial.

Authors:  Estelle Everett; Brian Kane; Ashley Yoo; Adrian Dobs; Nestoras Mathioudakis
Journal:  J Med Internet Res       Date:  2018-02-27       Impact factor: 5.428

10.  Mixed methods pilot study of a low-carbohydrate diabetes prevention programme among adults with pre-diabetes in the USA.

Authors:  Dina Hafez Griauzde; Laura Saslow; Kaitlyn Patterson; Tahoora Ansari; Bradley Liestenfeltz; Aaron Tisack; Patti Bihn; Samuel Shopinski; Caroline R Richardson
Journal:  BMJ Open       Date:  2020-01-21       Impact factor: 2.692

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