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A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population

This study aimed to develop and validate a simple risk score for detecting individuals with impaired fasting glucose (IFG) among the Southern Chinese population. A sample of participants aged ≥20 years and without known diabetes from the 2006–2007 Guangzhou diabetes cross-sectional survey was used t...

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Autores principales: Wang, Hui, Liu, Tao, Qiu, Quan, Ding, Peng, He, Yan-Hui, Chen, Wei-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344664/
https://www.ncbi.nlm.nih.gov/pubmed/25625405
http://dx.doi.org/10.3390/ijerph120201237
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author Wang, Hui
Liu, Tao
Qiu, Quan
Ding, Peng
He, Yan-Hui
Chen, Wei-Qing
author_facet Wang, Hui
Liu, Tao
Qiu, Quan
Ding, Peng
He, Yan-Hui
Chen, Wei-Qing
author_sort Wang, Hui
collection PubMed
description This study aimed to develop and validate a simple risk score for detecting individuals with impaired fasting glucose (IFG) among the Southern Chinese population. A sample of participants aged ≥20 years and without known diabetes from the 2006–2007 Guangzhou diabetes cross-sectional survey was used to develop separate risk scores for men and women. The participants completed a self-administered structured questionnaire and underwent simple clinical measurements. The risk scores were developed by multiple logistic regression analysis. External validation was performed based on three other studies: the 2007 Zhuhai rural population-based study, the 2008–2010 Guangzhou diabetes cross-sectional study and the 2007 Tibet population-based study. Performance of the scores was measured with the Hosmer-Lemeshow goodness-of-fit test and ROC c-statistic. Age, waist circumference, body mass index and family history of diabetes were included in the risk score for both men and women, with the additional factor of hypertension for men. The ROC c-statistic was 0.70 for both men and women in the derivation samples. Risk scores of ≥28 for men and ≥18 for women showed respective sensitivity, specificity, positive predictive value and negative predictive value of 56.6%, 71.7%, 13.0% and 96.0% for men and 68.7%, 60.2%, 11% and 96.0% for women in the derivation population. The scores performed comparably with the Zhuhai rural sample and the 2008–2010 Guangzhou urban samples but poorly in the Tibet sample. The performance of pre-existing USA, Shanghai, and Chengdu risk scores was poorer in our population than in their original study populations. The results suggest that the developed simple IFG risk scores can be generalized in Guangzhou city and nearby rural regions and may help primary health care workers to identify individuals with IFG in their practice.
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spelling pubmed-43446642015-03-18 A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population Wang, Hui Liu, Tao Qiu, Quan Ding, Peng He, Yan-Hui Chen, Wei-Qing Int J Environ Res Public Health Article This study aimed to develop and validate a simple risk score for detecting individuals with impaired fasting glucose (IFG) among the Southern Chinese population. A sample of participants aged ≥20 years and without known diabetes from the 2006–2007 Guangzhou diabetes cross-sectional survey was used to develop separate risk scores for men and women. The participants completed a self-administered structured questionnaire and underwent simple clinical measurements. The risk scores were developed by multiple logistic regression analysis. External validation was performed based on three other studies: the 2007 Zhuhai rural population-based study, the 2008–2010 Guangzhou diabetes cross-sectional study and the 2007 Tibet population-based study. Performance of the scores was measured with the Hosmer-Lemeshow goodness-of-fit test and ROC c-statistic. Age, waist circumference, body mass index and family history of diabetes were included in the risk score for both men and women, with the additional factor of hypertension for men. The ROC c-statistic was 0.70 for both men and women in the derivation samples. Risk scores of ≥28 for men and ≥18 for women showed respective sensitivity, specificity, positive predictive value and negative predictive value of 56.6%, 71.7%, 13.0% and 96.0% for men and 68.7%, 60.2%, 11% and 96.0% for women in the derivation population. The scores performed comparably with the Zhuhai rural sample and the 2008–2010 Guangzhou urban samples but poorly in the Tibet sample. The performance of pre-existing USA, Shanghai, and Chengdu risk scores was poorer in our population than in their original study populations. The results suggest that the developed simple IFG risk scores can be generalized in Guangzhou city and nearby rural regions and may help primary health care workers to identify individuals with IFG in their practice. MDPI 2015-01-23 2015-02 /pmc/articles/PMC4344664/ /pubmed/25625405 http://dx.doi.org/10.3390/ijerph120201237 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Hui
Liu, Tao
Qiu, Quan
Ding, Peng
He, Yan-Hui
Chen, Wei-Qing
A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title_full A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title_fullStr A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title_full_unstemmed A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title_short A Simple Risk Score for Identifying Individuals with Impaired Fasting Glucose in the Southern Chinese Population
title_sort simple risk score for identifying individuals with impaired fasting glucose in the southern chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344664/
https://www.ncbi.nlm.nih.gov/pubmed/25625405
http://dx.doi.org/10.3390/ijerph120201237
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