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Showing 2 results for Prediabetic State
Incidence and risk factors of different phenotypes of pre-diabetes in the Tehran Lipid and Glucose Study with a 9-year follow up
Hossein Ghahvehchian , Arash Derakhshan , Farzad Hadaegh ,
Volume 73, Issue 12 (3-2016)
Abstract

Background: Pre-diabetes is a high risk condition for developing type 2 diabetes mellitus and cardiovascular disease. The target of this study is evaluation of incidence rate of pre-diabetes and its risk factors in a long- term follow up in the Tehran Lipid and Glucose Study.

Methods: The Tehran Lipid and Glucose Study is a prospective study being accomplished on a characteristic sample of the Tehranian residents at District 13, targeted determining the prevalence and incidence of non-communicable diseases and their risk factors. Four phases of the study have been implemented, including three-year periods from 1999 to 2011. From an overall of 12808, twenty years old and older people at baseline, after excluding participants who did not have the necessary conditions, analyses were accompanied on a 2597 male and 3282 female to estimate pre-diabetes incidence and detect their risk factors.

Results: In men with incident pre-diabetes, age, fasting plasma glucose, 2-hour post-challenge plasma glucose and body mass index in addition to a positive family history of diabetes and <12 years of education were associated to a developed risk of rising pre-diabetes, but intervention and being single had a significant caring effect.

In women with pre-diabetes, 2-hour post-challenge plasma glucose, triglycerides to high density lipoprotein-cholesterol ratio, waist-to-height ratio, fasting plasma glucose and a helpful family history of diabetes increased risk of pre-diabetes, however being divorced/widowed had a slighter risk. Potential risk factors for evolving combined impaired fasting glucose and impaired glucose tolerance were higher fasting plasma glucose, 2-hour post-challenge plasma glucose, body mass index and triglycerides to high density lipoprotein-cholesterol ratio, but bigger hip circumference had a caring effect.

Pre-diabetes incidence rate was computed 46.1 per 1000 person-years in men and 36.8 per 1000 person-years in women.

Conclusion: The study showed that the incidence of diabetes and its variants in the Iranian people is high.


Comparison of ordinary logistic regression and robust logistic regression models in modeling of pre-diabetes risk factors
Fateme Azizi Mayvan , Mehdi Jabbari Nooghabi , Ali Taghipour , Mohammad Taghi Shakeri , Mahsa Mokarram ,
Volume 76, Issue 7 (10-2018)
Abstract
Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors.
Methods: This is a cross-sectional study and conducted on 6460 people, over 30 years old, who have participated in the screening of diabetes plan in Mashhad city that it was done by Mashhad University of Medical Sciences from October to December 2010. According to the fasting blood sugar criteria, 5414 individuals were identified as healthy and 1046 individuals were identified as pre-diabetic. Age, gender, body mass index, systolic blood pressure, diastolic blood pressure and waist-to-hip ratio were measured for every participant. The data was entered into the Microsoft Excel 2013 (Microsoft Corp., Redmond, WA, USA) and then analysis of the data was done in R Project for Statistical Computing, Version R 3.1.2 (www.r-project.org). Ordinary logistic regression model was fitted on the data. The outliers were identified. Then Mallow, WBY and BY robust logistic regression models were fitted on the data. And then, the robust models were compared with each other and with ordinary logistic regression model according to goodness of fit and prediction ability using Pearson's chi-square and area under the receiver operating characteristic (ROC) curve respectively.
Results: Among the variables that were included in the ordinary logistic regression model and three robust logistic models, age, body mass index and systolic blood pressure were statistically significant (P< 0.01) but waist-to-hip ratio was not statistically significant (P> 0.1). There were 552 outliers with misclassification error in the ordinary logistic regression model. Pearson's chi-square value and area under the ROC curve value in the Mallow model were almost the same as for ordinary logistic regression model. But it was relatively higher in BY and WBY models.
Conclusion: Based on results of this study age, overweight and hypertension are risk factors of prediabetes. Also, WBY and BY models were better than ordinary logistic regression model, according to goodness of fit criteria and prediction ability.

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