Literature DB >> 10587831

Screening for impaired glucose tolerance. Results from a population-based study in 21,057 individuals.

B Lindahl1, L Weinehall, K Asplund, G Hallmans.   

Abstract

OBJECTIVE: To study the distribution of fasting plasma glucose and impaired glucose tolerance (IGT) in a large general population and explore their possible implications for large-scale screening. The study focuses especially on the relation to age, obesity, and heredity background of diabetes. RESEARCH DESIGN AND METHODS: A total of 21,057 men and women aged 30-60 years were used for this cross-sectional study. Individuals with known diabetes and individuals with a fasting plasma glucose > or = 7 mmol/l were excluded. A physical examination, including blood sampling and an oral glucose tolerance test, was conducted.
RESULTS: The relative risk for IGT increased more than fourfold among obese subjects compared with normal-weight subjects, yet only 25% of IGT subjects were obese. Similarly, IGT subjects more frequently reported having first-degree relatives with diabetes than did subjects with normal glucose tolerance. Nonetheless, > 70% of IGT subjects reported no heredity background of diabetes. Subjects with IGT showed higher mean values of BMI, blood pressure, and triglycerides. Only 13% of the men and 19% of the women having impaired fasting glucose (IFG) fulfilled the criteria of IGT.
CONCLUSIONS: The present study shows that a high-risk screening strategy for IGT targeted solely toward subjects with obesity and/or heredity background of diabetes will fail to detect the majority of subjects with IGT in the general population. The new concept of IFG may not replace the concept of IGT as a risk marker for worsening to diabetes.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10587831     DOI: 10.2337/diacare.22.12.1988

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  11 in total

1.  Diabetes-related symptoms and negative mood in participants of a targeted population-screening program for type 2 diabetes: The Hoorn Screening Study.

Authors:  Marcel C Adriaanse; Jacqueline M Dekker; Annemieke M W Spijkerman; Jos W R Twisk; Giel Nijpels; Henk M van der Ploeg; Robert J Heine; Frank J Snoek
Journal:  Qual Life Res       Date:  2005-08       Impact factor: 4.147

2.  Blood glucose and risk of incident and fatal cancer in the metabolic syndrome and cancer project (me-can): analysis of six prospective cohorts.

Authors:  Tanja Stocks; Kilian Rapp; Tone Bjørge; Jonas Manjer; Hanno Ulmer; Randi Selmer; Annekatrin Lukanova; Dorthe Johansen; Hans Concin; Steinar Tretli; Göran Hallmans; Håkan Jonsson; Pär Stattin
Journal:  PLoS Med       Date:  2009-12-22       Impact factor: 11.069

3.  Post-challenge hyperinsulinaemia rather than hyperglycaemia is associated with the severity of coronary artery disease in patients without a previous diagnosis of diabetes mellitus.

Authors:  H Satoh; H Terada; A Uehara; H Katoh; M Matsunaga; K Yamazaki; F Matoh; H Hayashi
Journal:  Heart       Date:  2005-06       Impact factor: 5.994

4.  The Västerbotten Intervention Programme: background, design and implications.

Authors:  Margareta Norberg; Stig Wall; Kurt Boman; Lars Weinehall
Journal:  Glob Health Action       Date:  2010-03-22       Impact factor: 2.640

5.  A prospective analysis of elevated fasting glucose levels and cognitive function in older people: results from PROSPER and the Rotterdam Study.

Authors:  Sjoerd M Euser; Naveed Sattar; Jacqueline C M Witteman; Eduard L E M Bollen; Eric J G Sijbrands; Albert Hofman; Ivan J Perry; Monique M B Breteler; Rudi G J Westendorp
Journal:  Diabetes       Date:  2010-04-14       Impact factor: 9.461

6.  Long-term temporal trends in cardiovascular and metabolic risk factors.

Authors:  Wegene Borena; Tanja Stocks; Susanne Strohmaier; Alexander Strasak; Jonas Manjer; Dorthe Johansen; Håkan Jonsson; Kilian Rapp; Hans Concin; Göran Hallmans; Pär Stattin; Hanno Ulmer
Journal:  Wien Klin Wochenschr       Date:  2009       Impact factor: 1.704

7.  Cohort Profile: The Metabolic syndrome and Cancer project (Me-Can).

Authors:  Tanja Stocks; Wegene Borena; Susanne Strohmaier; Tone Bjørge; Jonas Manjer; Anders Engeland; Dorthe Johansen; Randi Selmer; Göran Hallmans; Kilian Rapp; Hans Concin; Håkan Jonsson; Hanno Ulmer; Pär Stattin
Journal:  Int J Epidemiol       Date:  2009-04-20       Impact factor: 7.196

8.  Detecting Prediabetes and Diabetes: Agreement between Fasting Plasma Glucose and Oral Glucose Tolerance Test in Thai Adults.

Authors:  Wichai Aekplakorn; Valla Tantayotai; Sakawduan Numsangkul; Wilarwan Sripho; Nutchanat Tatsato; Tuanjai Burapasiriwat; Rachada Pipatsart; Premsuree Sansom; Pranee Luckanajantachote; Pongpat Chawarokorn; Anek Thanonghan; Watchira Lakhamkaew; Aungsumalin Mungkung; Rungnapa Boonkean; Chanidsa Chantapoon; Mayuree Kungsri; Kasetsak Luanseng; Kornsinun Chaiyajit
Journal:  J Diabetes Res       Date:  2015-08-06       Impact factor: 4.011

9.  Metabolic risk factors for esophageal squamous cell carcinoma and adenocarcinoma: a prospective study of 580,000 subjects within the Me-Can project.

Authors:  Björn Lindkvist; Dorthe Johansen; Tanja Stocks; Hans Concin; Tone Bjørge; Martin Almquist; Christel Häggström; Anders Engeland; Göran Hallmans; Gabriele Nagel; Håkan Jonsson; Randi Selmer; Hanno Ulmer; Steinar Tretli; Pär Stattin; Jonas Manjer
Journal:  BMC Cancer       Date:  2014-02-18       Impact factor: 4.430

10.  Metabolic syndrome and the early detection of impaired glucose tolerance among professionals living in Beijing, China: a cross sectional study.

Authors:  Ping Zeng; Xuefeng Zhu; Yi Zhang; Jun Dong; Tiemei Zhang; Shu Wang; Sinan Wu
Journal:  Diabetol Metab Syndr       Date:  2013-11-06       Impact factor: 3.320

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.