Literature DB >> 27432070

Detecting people at high risk of type 2 diabetes- How do we find them and who should be treated?

Alice P S Kong1, Andrea O Y Luk1, Juliana C N Chan2.   

Abstract

Diabetes is a chronic disease characterized by its silent and progressive nature. The prevalence of type 2 diabetes (T2DM) increases with age but with a worrying trend of increasingly young age of diagnosis. Compared to their counterparts with late onset of disease, these younger subjects face long disease duration with increased risk of diabetes-related complications. Besides, there is marked phenotypic heterogeneity which can interact with different interventions to give rise to variable clinical outcomes. Recognized at-risk groups include those with known atherosclerosis and vascular disease, genetic background (family history and non-White ethnic groups), phenotypes of insulin resistance (obesity, metabolic syndrome, women with gestational diabetes or polycystic ovarian syndrome, and men with androgen deficiency) and "pre-diabetes" (impaired glucose tolerance and impaired fasting glucose). These risk factors interact to amplify the risk for diabetes, thus emphasizing the importance of comprehensive assessment. Raising awareness and health literacy, regular screening of high risk subjects, structured lifestyle modification program including early use of pharmacological agents, targeting at predominant pathophysiological defects offers a personalized approach to prevent this global hazard.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  T2DM; detect; high risk

Mesh:

Year:  2016        PMID: 27432070     DOI: 10.1016/j.beem.2016.06.003

Source DB:  PubMed          Journal:  Best Pract Res Clin Endocrinol Metab        ISSN: 1521-690X            Impact factor:   4.690


  11 in total

1.  Factors associated with undiagnosed diabetes among adults with diabetes: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Authors:  Sarah Stark Casagrande; Andy Menke; Larissa Aviles-Santa; Linda C Gallo; Martha L Daviglus; Gregory A Talavera; Sheila F Castañeda; Krista Perreira; Matthew Shane Loop; Wassim Tarraf; Hector M González; Catherine C Cowie
Journal:  Diabetes Res Clin Pract       Date:  2018-11-09       Impact factor: 5.602

2.  Glucose dysregulation and response to common anti-diabetic agents in the FATZO/Pco mouse.

Authors:  Richard G Peterson; Charles Van Jackson; Karen M Zimmerman; Jorge Alsina-Fernandez; M Dodson Michael; Paul J Emmerson; Tamer Coskun
Journal:  PLoS One       Date:  2017-06-22       Impact factor: 3.240

3.  Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index.

Authors:  Kyoung Hwa Ha; Cheol Young Park; In Kyung Jeong; Hyun Jin Kim; Sang Yong Kim; Won Jun Kim; Ji Sung Yoon; In Joo Kim; Dae Jung Kim; Sungrae Kim
Journal:  Diabetes Metab J       Date:  2018-04       Impact factor: 5.376

4.  Short-Term Trends in Economic Burden and Catastrophic Costs of Type 2 Diabetes Mellitus in Rural Southwest China.

Authors:  Hui-Fang Li; Le Cai; Allison Rabkin Golden
Journal:  J Diabetes Res       Date:  2019-08-01       Impact factor: 4.011

5.  Long-term exposure to ambient fine particulate matter and fasting blood glucose level in a Chinese elderly cohort.

Authors:  Yi Zhang; Tiantian Li; Runmei Ma; Zhaoxue Yin; Jiaonan Wang; Mike Z He; Dandan Xu; Xiang Gao; Qing Wang; Virginia Byers Kraus; Yuebin Lv; Yu Zhong; Patrick L Kinney; Xiaoming Shi
Journal:  Sci Total Environ       Date:  2020-02-08       Impact factor: 7.963

6.  Defining the Association between Diabetes and Plastic Surgery Outcomes: An Analysis of Nearly 40,000 Patients.

Authors:  David Goltsman; Kerry A Morrison; Jeffrey A Ascherman
Journal:  Plast Reconstr Surg Glob Open       Date:  2017-08-17

7.  Accelerated oligosaccharide absorption and altered serum metabolites during oral glucose tolerance test in young Japanese with impaired glucose tolerance.

Authors:  Takashi Miki; Eun Young Lee; Akifumi Eguchi; Kenichi Sakurai; Yuji Sawabe; Tomohiko Yoshida; Keiko Saito; Hidetaka Yokoh; Ko Ishikawa; Koutaro Yokote; Takeshi Kuzuya; Eishi Miki; Chisato Mori; Fumio Nomura
Journal:  J Diabetes Investig       Date:  2017-08-02       Impact factor: 4.232

8.  Pharmacogenomics of Sulfonylureas Response in Relation to rs7754840 Polymorphisms in Cyclin-Dependent Kinase 5 Regulatory Subunit-associated Protein 1-like (CDKAL1) Gene in Iranian Type 2 Diabetes Patients.

Authors:  Goljahan Soltani; Zahra Hatefi; Ahmad Reza Salehi; Sharifeh Khosravi; Moosa Rahimi Ghiasi; Keimer Teke; Ashraf Aminorroaya; Rasoul Salehi
Journal:  Adv Biomed Res       Date:  2018-06-25

9.  Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study.

Authors:  Kun Wang; Qun-Fang Yang; Xing-Lin Chen; Yu-Wei Liu; Sheng-Shuai Shan; Hua-Bo Zheng; Xiao-Fang Zhao; Chang-Zhong Chen; Cheng-Yun Liu
Journal:  Int J Endocrinol       Date:  2018-12-13       Impact factor: 3.257

10.  Body Composition and the Components of Metabolic Syndrome in Type 2 Diabetes: The Roles of Disease Duration and Glycemic Control.

Authors:  Mahmoud M A Abulmeaty; Ghadeer S Aljuraiban; Thuraya A Alaidarous; Noura M Alkahtani
Journal:  Diabetes Metab Syndr Obes       Date:  2020-04-05       Impact factor: 3.168

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