Objective To study the prevalence of metabolic syndrome (MS) within the Uyghur people with abnormal glucose metabolism in Xinjiang province according to three different diagnostic criteria and effects of accumulation of MS components on blood lipid profile.Methods Components of MS and blood lipid profile were observed with 666 Uyghur people with abnormal glucose metabolism after cluster randomized sampling method for selecting in Xinjiang province,and analyzed with the recommended diagnostic criteria by the National Cholesterol Education Program-Adult treatment Panel Ⅲ(NCEP-ATP Ⅲ,2001),the Chinese Diabetes Society under Chinese Medical Association (CDS,2004) and the International Diabetes Federation (IDF,2005).Results Prevalence of MS was 21.92％ (14.67％),23.72％ (15.88％),57.51％ (38.48％) with the criteria by NCEP-ATPⅢ,CDS,and IDF,respectively.IDF was the best among three criteria.The most combination was the abnormal glucose metabolism,dyslipidemia and obesity.In the ATPⅢ (2001),with the increase of number of components of metabolic syndrome,highdensity lipoprotein cholesterol (HDL-C) drop,low density lipoprotein cholesterol (LDL-C) increased; there was not significant difference in the CDS.Conclusions The incidence of MS was high in the Uyghur people with abnormal glucose metabolism in Xinjiang province.Most of them complicated with dyslipidemia.One of common components of MS included the elevated triglycerides,decreased HDL-C,and increased size of LDL-C particles,which could easily cause cardiovascular disease.

The peak level of growth hormone (GH) stimulated by insulin tolerance test (ITT) is thegold standard for diagnosis of growth hormone deficiency in adults.This study was aimed to explore the factors influencing GH response to ITT in 50 healthy adults.The results showed that the nadir or decreased amplitude of blood glucose was not related to GH peak level.In multivariable analysis,the GH level stimulated by ITT was negatively associated with body mass index(P＜0.01),but there was no any association with age,gender,and waist circumference.