Literature DB >> 26428521

[Screening and prevention of diabetes].

P E H Schwarz1.   

Abstract

A valid and efficient screening for individual diabetes risk is a highly welcomed tool in primary care and specialist medical practice. It is needed to detect early stages of diabetes risk and prediabetes and to start interventions that have the aim to prevent diabetes and also other chronic diseases from developing. The oral glucose tolerance test is the gold standard, but it is difficult to perform in an evidence-based manner in primary care. Furthermore, measuring fasting and 2-h postprandial glucose values detects only late stages of the pathophysiological development of type 2 diabetes. Interestingly, the 1-h glucose value is highly predictive of future diabetes risk, but is rarely used in primary care. Therefore, risk scores are commonly used to evaluate diabetes risk, but unfortunately, they generally do not mirror the relevance of increased risk due to the person's own lifestyle. Measuring waist circumference is another possibility, because the waist is directly associated with the amount of visceral fat, which again directly correlates with the pathophysiology of diabetes development. A further possibility is the EZSCAN™ technology. The EZSCAN™ is based on reverse iontophoresis, a new technology to detect very early forms of peripheral neuropathies, which are commonly associated with early diabetes risk stages. It is important to perform diabetes screening in a targeted manner, in both medical and paramedical environments, and it is mandatory to add targeted interventions, based on the screening evaluated diabetes risk.

Entities:  

Keywords:  Diabetes risk; Iontophoresis; Oral glucose tolerance test; Questionnaires; Waist circumference

Mesh:

Year:  2015        PMID: 26428521     DOI: 10.1007/s00108-015-3737-5

Source DB:  PubMed          Journal:  Internist (Berl)        ISSN: 0020-9554            Impact factor:   0.743


  55 in total

1.  How do physical activity, sports, and dietary restraint relate to overweight-associated absenteeism?

Authors:  Tatjana van Strien; Paul Koenders
Journal:  J Occup Environ Med       Date:  2010-09       Impact factor: 2.162

2.  FINDRISK questionnaire combined with HbA1c testing as a potential screening strategy for undiagnosed diabetes in a healthy population.

Authors:  E Martin; E Ruf; R Landgraf; H Hauner; F Weinauer; S Martin
Journal:  Horm Metab Res       Date:  2011-10-18       Impact factor: 2.936

3.  The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1).

Authors:  A Ramachandran; C Snehalatha; S Mary; B Mukesh; A D Bhaskar; V Vijay
Journal:  Diabetologia       Date:  2006-01-04       Impact factor: 10.122

4.  (How) can we prevent type 2 diabetes?

Authors:  Thomas A Buchanan
Journal:  Diabetes       Date:  2007-03-27       Impact factor: 9.461

Review 5.  Prevention of type 2 diabetes--lessons we have learnt for implementation.

Authors:  P E H Schwarz; M Peltonen
Journal:  Horm Metab Res       Date:  2007-09       Impact factor: 2.936

6.  Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study.

Authors:  X R Pan; G W Li; Y H Hu; J X Wang; W Y Yang; Z X An; Z X Hu; J Lin; J Z Xiao; H B Cao; P A Liu; X G Jiang; Y Y Jiang; J P Wang; H Zheng; H Zhang; P H Bennett; B V Howard
Journal:  Diabetes Care       Date:  1997-04       Impact factor: 19.112

7.  Prevention of type 2 diabetes by lifestyle intervention: a Japanese trial in IGT males.

Authors:  Kinori Kosaka; Mitsuihiko Noda; Takeshi Kuzuya
Journal:  Diabetes Res Clin Pract       Date:  2005-02       Impact factor: 5.602

8.  Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial.

Authors:  Jean-Louis Chiasson; Robert G Josse; Ramon Gomis; Markolf Hanefeld; Avraham Karasik; Markku Laakso
Journal:  Lancet       Date:  2002-06-15       Impact factor: 79.321

Review 9.  Pathogenesis of type 2 diabetes mellitus.

Authors:  Ralph A DeFronzo
Journal:  Med Clin North Am       Date:  2004-07       Impact factor: 5.456

10.  A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population.

Authors:  A Bergmann; J Li; L Wang; J Schulze; S R Bornstein; P E H Schwarz
Journal:  Horm Metab Res       Date:  2007-09       Impact factor: 2.936

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  1 in total

1.  Sagittal Abdominal Diameter, Waist Circumference, and BMI as Predictors of Multiple Measures of Glucose Metabolism: An NHANES Investigation of US Adults.

Authors:  Shelby A Firouzi; Larry A Tucker; James D LeCheminant; Bruce W Bailey
Journal:  J Diabetes Res       Date:  2018-06-19       Impact factor: 4.011

  1 in total

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