Diabetes Diagnosis

Multivariate regression equation developed to screen for dysglycemia

Published in Obesity and Diabetes Week, June 13th, 2005

Scientists have developed a multivariate logistic regression equation to screen for dysglycemia.

Researchers in the United States conducted a study "to develop and validate an empirical equation to screen for dysglycemia [impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and undiagnosed diabetes]. A predictive equation was developed using multiple logistic regression analysis and data collected from 1,032 Egyptian subjects with no history of diabetes. The equation incorporated age, sex, body mass index (BMI), postprandial time (self-reported number of hours since last food or drink other than water), systolic blood pressure, high-density lipoprotein (HDL)...

Want to see the full article?

Purchase this article for only $3.00

We're a pay-per-view site for premium content. If you'd like to purchase this article, it's only $3.00.

Welcome to NewsRx!

Learn more about a six-week, no-risk free trial of Obesity and Diabetes Week

Source: Obesity and Diabetes Week (2005-06-13)

NewsRx is Social

Top Medical Newsletters

Awards

Best Health/Healthcare Content, 2012
Best Health/Healthcare Content, 2011
Best e-Business Site, 2010
Best e-Business Site, 2009
Best e-Business Site, 2008
Best e-Business Site, 2007
Best e-Business Site, 2006
Best Healthcare Content, 2005
Best Overall Internet Site, 2005
Best Interactive Site, 2005

Facts & Stats

NewsRx also is available at LexisNexis, Gale, ProQuest, Factiva, Dialog, Thomson Reuters, NewsEdge, and Dow Jones.

Google 2010 PageRank: #2 Among Top Health News and Media Publications
Google 2010 PageRank: #2 Among Top Science Publications in Biology/Physiology
Google 2010 PageRank: #2 Among Top News and Media for the Business of Pharmaceuticals
Amazon's Alexa 2010 PageRank: #2 News and Media Site for the Pharmaceutical Industry