Non-Obese Diabetes and Its Associated Factors in an Underdeveloped Area of South China, Guangxi

Zhenzhu Tang, Zhifeng Fang, Wei Huang, Zhanhua Liu, Yuzhu Chen, Zhongyou Li, Ting Zhu, Qichun Wang, Steve Simpson, Bruce V. Taylor and Rui Lin
Additional contact information
Zhenzhu Tang: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Zhifeng Fang: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Wei Huang: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Zhanhua Liu: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Yuzhu Chen: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Zhongyou Li: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Ting Zhu: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Qichun Wang: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China
Steve Simpson: Menzies Institute for Medical Research, University of Tasmania, Hobart 7001, Australia
Bruce V. Taylor: Menzies Institute for Medical Research, University of Tasmania, Hobart 7001, Australia
Rui Lin: Guangxi Center for Disease Prevention and Control, 18 Jinzhou Road, Nanning 530028, China

IJERPH, 2016, vol. 13, issue 10, 1-12

Abstract: Background: Little research has been conducted on the prevalence of diabetes mellitus in underdeveloped areas in China, especially stratified into obesity and non-obese diabetes. The aim of the present study was to investigate the prevalence and associated factors of non-obese diabetes in an underdeveloped area in South China, Guangxi. Methods: Data derived from the Chinese Health and Nutrition Survey 2010–2012 involved a sample of 3874 adults from Guangxi. Questionnaires and oral glucose-tolerance tests were conducted, and fasting and 2-h glucose levels and serum lipids were measured. Logistic regression analysis was performed to assess associated factors for non-obese diabetes. Results: 68.2% and 62.2% of instances of newly detected diabetes were those of non-obese diabetes based on BMI (NODB) and based on WC (NODW), respectively. The male sex, an age older than 50 years, lower education, hypertension, and hypertriglyceridemia were significantly associated with a higher risk of both NODB and NODW, while some associated factors for NODB were found different from those associated with NODW, and an interaction effect was found to increase the risk of NODW. Conclusions: Our study indicated that non-obese diabetes was highly prevalent in an underdeveloped area of South China. Non-obese diabetes should be considered for increased public attention in these areas.

Keywords: diabetes; non-obese; prevalence; associated factors; underdeveloped area (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/13/10/976/pdf (application/pdf)
https://www.mdpi.com/1660-4601/13/10/976/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:13:y:2016:i:10:p:976-:d:79689

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().