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

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    Author
    Tang, Z; Fang, Z; Huang, W; Liu, Z; Chen, Y; Li, Z; Zhu, T; Wang, Q; Simpson, S; Taylor, BV; ...
    Date
    2016-10-01
    Source Title
    International Journal of Environmental Research and Public Health
    Publisher
    MDPI
    University of Melbourne Author/s
    Simpson-Yap, Steve
    Affiliation
    Melbourne School of Population and Global Health
    Metadata
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    Document Type
    Journal Article
    Citations
    Tang, Z., Fang, Z., Huang, W., Liu, Z., Chen, Y., Li, Z., Zhu, T., Wang, Q., Simpson, S., Taylor, B. V. & Lin, R. (2016). Non-Obese Diabetes and Its Associated Factors in an Underdeveloped Area of South China, Guangxi. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 13 (10), https://doi.org/10.3390/ijerph13100976.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/253213
    DOI
    10.3390/ijerph13100976
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086715
    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.

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