中文摘要：

目的探讨胰岛素抵抗指数分布特征及其与多种代谢异常的相关性。方法以延边朝鲜族自治州安图县2个村的1 235名常住农民为研究对象。调查其体格指标,检测其血清胰岛素及代谢相关指标。采用稳态模型评估法（HOMA）估测人体胰岛素抵抗（IR）程度,根据《中国成人血脂异常防治指南》建议的标准诊断代谢综合征（MS）。结果多元Logistic回归分析结果表明,模型1：调整性别、民族、年龄、文化程度、吸烟、饮酒及MS其他各组分,MS各组分的患病危险均随胰岛素抵抗指数（HOMA-IR）的增加而升高（P均=0.000）,而且IR组MS各组分的患病危险明显升高,其OR值依次为6.774（腹型肥胖）、6.544（高血糖）、2.397（低高密度脂蛋白胆固醇血症）、2.353（高三酰甘油血症）及2.035（高血压）;模型2：调整模型1中的变量和整体肥胖,IR组MS各组分OR值依次为6.549（高血糖）、3.221（腹部肥胖）、2.349（高三酰甘油血症）、2.191（低高密度脂蛋白胆固醇血症）及1.879（高血压）,而且其患病危险均随HOMA-IR的增加而升高（P〈0.05）。整体肥胖的患病危险随HOMA-IR的增高而呈升高趋势（P=0.000）,IR组OR=4.140。随着HOMA-IR的增加,MS患病危险性明显升高（P=0.000）,IR组OR=4.703。协方差分析结果表明,MS组和无MS组HOMA-IR比较差异有统计学意义（F=59.013,P=0.000）;且随着MS组分数目的增加,HOMA-IR呈升高趋势（F=43.903,P=0.000）。结论本地区成人HOMA-IR与MS及其各组分、整体肥胖患病显著相关,但其对不同代谢异常的影响程度有所不同;随着MS组分数目的增加,HOMA-IR水平呈升高趋势。

英文摘要：

Objective To explore the relationship between index of insulin resistance and different kinds of metabolic disorders among rural residents in Yanbian area. Methods A total of 1 235 adult subjects from 2 villages in Antu county, Yanbi- an were enrolled with their anthropometric and biochemical indices obtained. Degrees of insulin resistance （IR） were estimated u-sing the homeostasis model assessment （HOMA） method. Metabolis syndrome （MS） was diagnosed using the guidelines of ＂ Prevention and Treatment of Blood Lipid Abnormality in Chinese Adult＂ . Results Logistic regression analysis showed that the prevalence of MS increased significantly along with the increase of HOMA - IR after adjustment for sex, race, age, smoking, drink- ing and other components of MS in model 1 （ P = 0. 000 ） ; OR values increased in the IR group and were 6. 774 for central obesity, 6. 544 for hyperglycemia, 2. 397 for low HDL - C, 2. 353 for high TG and 2. 035 for hypertension, respectively. After ad justment for the same set of variables as in model 1 as well as for general obesity in model 2, OR values in the IR group turned out to be 6. 549 （hyperglycemia）, 3. 221 （ central obesity）, 2. 349 （ high TG）, 2. 191 （ low HDL - C） and 1. 879 （ hypertension ）, with the risk increased with HOMA - IR （ P 〈 0. 05 ） . Risk of general obesity increased with HOMA - IR （ P = 0. 000）, with an OR value of 4. 140 in the IR group. Risk of MS increased with HOMA -IR （P =0. 000） , with an OR value of 4. 703 in the IR group. Levels of HOMA - IR were significantly higher among subjects with MS than without （ F = 59. 013, P = 0. 000） andincreased along with the increment of MS component number （ F = 43.903, P = 0. 000） . Conclusion The current observation shows that levels of HOMA - IR are strongly associated with the prevalence of MS and all its components, as well as general obesity. However different degrees of impact are displayed among different metabolic disorders. HOMA - IR level increases w