Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?

Objective. To examine whether anthropometric measures could predict diabetes incidence in a Chinese population during a 15-year follow-up. Design and Methods. The data were collected in 1992 and then again in 2007 from the same group of 687 individuals. Waist circumference, body mass index, waist to...

Full description

Saved in:
Bibliographic Details
Main Authors: Kai Liu, Sen He, Biying Hong, Rui Yang, Xiaoyan Zhou, Jiayue Feng, Si Wang, Xiaoping Chen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2013/239376
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850228605376790528
author Kai Liu
Sen He
Biying Hong
Rui Yang
Xiaoyan Zhou
Jiayue Feng
Si Wang
Xiaoping Chen
author_facet Kai Liu
Sen He
Biying Hong
Rui Yang
Xiaoyan Zhou
Jiayue Feng
Si Wang
Xiaoping Chen
author_sort Kai Liu
collection DOAJ
description Objective. To examine whether anthropometric measures could predict diabetes incidence in a Chinese population during a 15-year follow-up. Design and Methods. The data were collected in 1992 and then again in 2007 from the same group of 687 individuals. Waist circumference, body mass index, waist to hip ratio, and waist to height ratio were collected based on a standard protocol. To assess the effects of baseline anthropometric measures on the new onset of diabetes, Cox's proportional hazards regression models were used to estimate the hazard ratios of them, and the discriminatory power of anthropometric measures for diabetes was assessed by the area under the receiver operating curve (AROC). Results. Seventy-four individuals were diagnosed with diabetes during a 15-year follow-up period (incidence: 10.8%). These anthropometric measures also predicted future diabetes during a long follow-up (). At 7-8 years, the AROC of central obesity measures (WC, WHpR, WHtR) were higher than that of general obesity measures (BMI) (). But, there were no significant differences among the four anthropometric measurements at 15 years. Conclusions. These anthropometric measures could still predict diabetes with a long time follow-up. However, the validity of anthropometric measures to predict incident diabetes may change with time.
format Article
id doaj-art-2550fe57ec0c4b9e8acdbe9fa8e73884
institution OA Journals
issn 1687-8337
1687-8345
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series International Journal of Endocrinology
spelling doaj-art-2550fe57ec0c4b9e8acdbe9fa8e738842025-08-20T02:04:28ZengWileyInternational Journal of Endocrinology1687-83371687-83452013-01-01201310.1155/2013/239376239376Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?Kai Liu0Sen He1Biying Hong2Rui Yang3Xiaoyan Zhou4Jiayue Feng5Si Wang6Xiaoping Chen7Department of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu 610041, ChinaObjective. To examine whether anthropometric measures could predict diabetes incidence in a Chinese population during a 15-year follow-up. Design and Methods. The data were collected in 1992 and then again in 2007 from the same group of 687 individuals. Waist circumference, body mass index, waist to hip ratio, and waist to height ratio were collected based on a standard protocol. To assess the effects of baseline anthropometric measures on the new onset of diabetes, Cox's proportional hazards regression models were used to estimate the hazard ratios of them, and the discriminatory power of anthropometric measures for diabetes was assessed by the area under the receiver operating curve (AROC). Results. Seventy-four individuals were diagnosed with diabetes during a 15-year follow-up period (incidence: 10.8%). These anthropometric measures also predicted future diabetes during a long follow-up (). At 7-8 years, the AROC of central obesity measures (WC, WHpR, WHtR) were higher than that of general obesity measures (BMI) (). But, there were no significant differences among the four anthropometric measurements at 15 years. Conclusions. These anthropometric measures could still predict diabetes with a long time follow-up. However, the validity of anthropometric measures to predict incident diabetes may change with time.http://dx.doi.org/10.1155/2013/239376
spellingShingle Kai Liu
Sen He
Biying Hong
Rui Yang
Xiaoyan Zhou
Jiayue Feng
Si Wang
Xiaoping Chen
Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
International Journal of Endocrinology
title Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
title_full Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
title_fullStr Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
title_full_unstemmed Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
title_short Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
title_sort over time do anthropometric measures still predict diabetes incidence in chinese han nationality population from chengdu community
url http://dx.doi.org/10.1155/2013/239376
work_keys_str_mv AT kailiu overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT senhe overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT biyinghong overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT ruiyang overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT xiaoyanzhou overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT jiayuefeng overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT siwang overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity
AT xiaopingchen overtimedoanthropometricmeasuresstillpredictdiabetesincidenceinchinesehannationalitypopulationfromchengducommunity