Prevalence of Pre-Diabetes and Its Associated Risk Factors in Rural Areas of Ningbo, China

Ming Zhao, Hongbo Lin, Yanyan Yuan, Fuyan Wang, Yang Xi, Li Ming Wen, Peng Shen and Shizhong Bu
Additional contact information
Ming Zhao: Runliang Diabetes Laboratory, Diabetes Research Center, Ningbo University, 818 Fenghua Road, 315211 Ningbo, China
Hongbo Lin: Yinzhou District Center for Disease Control and Prevention, 315211 Ningbo, China
Yanyan Yuan: Runliang Diabetes Laboratory, Diabetes Research Center, Ningbo University, 818 Fenghua Road, 315211 Ningbo, China
Fuyan Wang: Runliang Diabetes Laboratory, Diabetes Research Center, Ningbo University, 818 Fenghua Road, 315211 Ningbo, China
Yang Xi: Runliang Diabetes Laboratory, Diabetes Research Center, Ningbo University, 818 Fenghua Road, 315211 Ningbo, China
Li Ming Wen: Shanghai 10th People’s Hospital, University of Tongji, 200240 Shanghai, China
Peng Shen: Yinzhou District Center for Disease Control and Prevention, 315211 Ningbo, China
Shizhong Bu: Runliang Diabetes Laboratory, Diabetes Research Center, Ningbo University, 818 Fenghua Road, 315211 Ningbo, China

IJERPH, 2016, vol. 13, issue 8, 1-13

Abstract: Objective : The aims of the study were to investigate the prevalence of pre-diabetes and explore its associated risk factors in rural areas of Ningbo, China. Methods : A cross-sectional survey was conducted with 4583 adult residents in rural areas of Ningbo, China between March and May 2013. The survey used a multi-stage, stratified, cluster sampling method. Data collected included demographics and medical history, anthropometric measurements, blood pressure, blood lipid, and plasma glucose. After at least 10 h of overnight fasting, participants underwent an oral glucose tolerance test (OGTT) to identify pre-diabetes. Univariate and multivariate logistic regression analyses were used to evaluate the associated risk factors for pre-diabetes, and to estimate the effect of interaction between the factors. Results : There were 1307 survey participants having pre-diabetes (28.52%) and the age-standardized prevalence was 30.53%. Multivariate logistic regression results showed that overweight/obesity, hypertension, and higher triglycerides were the risk factors for developing pre-diabetes. There were positive interactions between overweight/obesity and triglycerides, and also between hypertension and triglycerides on the multiplicative scale, suggesting that they synergistically influenced the development of pre-diabetes. Conclusions : The rural areas in Ningbo had a high prevalence of pre-diabetes. Overweight and obesity, hypertension, and elevated triglycerides were the major risk factors. There is a need of early intervention for preventing pre-diabetes.

Keywords: pre-diabetes; risk factor; prevalence; rural area; interaction (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: View citations in EconPapers (1)

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