| BackgroundWith the elevation of living standard and population aging, it is the public health problem of high prevalence of Diabetes Mellitus (DM) in all over the world. In 1985 about 30 million people across the globe had diabetes, that number hit 246 million in 2007 and is expected to reach 380 million by 2030, according to the International Diabetes Federation (IDF). Shandong Province is one of the provinces famous for its coastal economy, whose population is in the neighbourhood of 100 million, but there is no clear statistical data of prevalence of DM.ObjectiveInvestigate the prevalence and epidemiologic characteristics of pre-diabetes and diabetes mellitus in Shandong.MethodsCross-sectional and cluster sampling method were used in 3011 residents aged over 20 years from 4 cities in Shandong. After an overnight fast, participants underwent an oral glucose-tolerance test, and fasting and 2-hour plasma glucose levels were measured to identify undiagnosed diabetes and pre-diabetes. Previously diagnosed diabetes was determined on the basis of self-report.ResultsThe age-standardized prevalence of total diabetes and pre-diabetes were 9.9% and 7.3%. The prevalence of diabetes increased with the increasing of age and weight (P<0.05). The prevalence of diabetes was higher among urban residents than among rural residents (P<0.05). The prevalence of isolated impaired glucose tolerance was higher than that of isolated impaired fasting glucose. The multivariable analysis showed that age, family history of diabetes, Central obesity, Systolic blood pressure, heart rate, triglyceride and LDL-c were the risk factors for development of glucose metabolism disorders(OR=1.130-2.150). HDL-c was the protective factor (OR=0.617).ConclusionThe prevalence of diabetes is considerably high in Shandong, and glucose metabolism disorder has become a major public health problem. Effective strategies, aimed at the prevention and treatment of glucose metabolism disorders, are needed. BackgroundImproving the life quality and living quality, overweight and obesity are increasingly becoming a public hazard of health. Weight gain and obesity are major risk factors for conditions and diseases ranging from insulin resistance and type 2 diabetes mellitus to atherosclerosis and the sequelae of nonalcoholic fatty lier disease. Anthropometic parameters may be used to predict cardiovascular risk.ObjectiveThe purpose of the study was to investigate the relationship between anthropometic parameters and glucose metabolism disorder risk of adults in Shandong, and to evaluate the predictive values of body mass index, waist circum ference, waist-to-hip ratio, and waist-to-height ratio to glucose metabolism disorder risk.MethodsCross-sectional and cluster sampling method were used in 3011 residents aged over 20 years from 4 cities in Shandong. After an overnight fast, participants underwent an oral glucose-tolerance test, and fasting and 2-hour plasma glucose levels were measured to identify undiagnosed diabetes and pre-diabetes. Body mass index, waist circum ference, waist-to-hip ratio, and waist-to-height ratio were investigated by trained doctors. Previously diagnosed diabetes was determined on the basis of self-report. Data for subjects were analyzed separately by sex. All data analysis was used of SPSS v18.0. ResultsWe included data for 3011 people in the final analysis, including 1328 men and 1683 women. The prevalence rate of glucose metabolism disorder was 21.5% for males and 21.3% for females. WHtR showed positive correlation with FPG and 2hPG in men and women. The prevalence rate of glucose metabolism disorder was increased with BMI,WC,WHR and WHtR. A BMI of 24.95Kg/m2 for men and 24.25Kg/m2 for women, a WC of 91.5cm for men and 84.5cm for women, a WHR of 0.905 for men and 0.855 for women, a WHtR of 0.535 for men and 0.525 for women were found optimal cutoffs to predict glucose metabolism disorders risk. WHtR was found to have the largest areas under the ROC curve, respectively 62.7% for males and 69.3% for females. Single factor analysis showed that WHtR was the best predictive indicator to glucose metabolism disorders risk. Multivariate analysis indicated that BMI combined with WHR was the most effective method to predict glucose metabolism disorders risk for men, OR=1.399,1.452 respectively, but WHtR for women, OR=1.718.ConclusionA BMI of 24.95Kg/m2 for men and 24.25Kg/m2 for women, a WC of 91.5cm for men and 84.5cm for women, a WHR of 0.905 for men and 0.855 for women, a WHtR of 0.535 for men and 0.525 for women were found optimal cutoffs to predict glucose metabolism disorders risk. Single factor analysis showed that WHtR was the best predictive indicator to glucose metabolism disorders risk. Multivariate analysis indicated that BMI combined with WHR was the most effective method to predict glucose metabolism disorders risk for men but WHtR for women. |
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