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目的:探讨江西省成人脂质蓄积指数（LAP）与糖代谢异常的关系。方法:于2018年3至7月在江西省14个城镇社区居委会进行横断面调查，采用多阶段分层随机抽样法入选18岁及以上受试者4 790名，对所有调查对象进行问卷调查（包括人口统计学、受试者特征、疾病药物史、生活方式及心理情况等）、体格检查［测量计算身高、体重、腰围、血压、体质指数（BMI）、腰高比（WHtR）、LAP和内脏脂肪指数（VAI）值］和实验室检查［空腹血糖（FPG）、餐后2 h血糖（2hPG）、总胆固醇（TC）、甘油三酯（TG）、高密度脂蛋白胆固醇（HDL-C）和低密度脂蛋白胆固醇（LDL-C）］。根据《中国2型糖尿病防治指南（2017年版）》诊断标准，诊断糖尿病和糖尿病前期。采用Kruskal-Wallis n H检验和多因素分析logistic回归模型，分析不同LAP水平（四分位数分组）与糖尿病前期、糖尿病的关系。n 结果:糖耐量正常组2 996名，糖尿病前期组1 097例，糖尿病组697例。3组研究对象中，年龄、收缩压、舒张压、BMI、腰围、LAP、VAI、FPG、2hPG、TC、TG、LDL-C随糖代谢严重程度增加而增加，而HDL-C降低（n P均<0.05）。根据LAP四分位数分为Q1组（LAP<16.52）1 196例，Q2组（16.52≤LAP<29.52）1 198例，Q3组（29.52≤LAP<50.22）1 195例及Q4组（LAP≥50.22）组1 201例。随着LAP水平的增高，糖尿病前期及糖尿病的患病率呈递增趋势，差异有统计学意义（n P<0.01）。在校正性别、年龄、教育程度、糖尿病家族史、家庭收入、吸烟史、饮酒史、运动情况、血压及BMI后，以低LAP水平组（Q1）为参照，最高LAP水平组（Q4）的糖尿病前期和糖尿病患病风险优势比（95%可信区间）分别为2.94（2.26~3.83）和5.00（3.58~6.97）。n 结论:LAP与血糖代谢异常密切相关，LAP值越大糖尿病前期和糖尿病患病风险越高，对糖代谢异常的预警具有一定的临床价值。“,”Objective:To explore the relationship between lipid accumulation product (LAP) and abnormal glucose metabolism in the participants recruited from Jiangxi Province.Methods:This study conducted a cross-sectional survey on community neighborhood communities in 14 cities and towns in Jiangxi Province from March to July 2018. A multi-stage stratified random sampling method was used to recruit 4 790 residents aged 18 and above, and a questionnaire survey (including demography, subject characteristics, drug history, lifestyle and psychological conditions, etc.), physical examination[measure and calculate height, weight, waist circumference, blood pressure, body mass index (BMI), waist to height ratio (WHtR), LAP and visceral adiposity index (VAI)] and laboratory examination [fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG), total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C)] were conducted on all subjects. Diagnose diabetes and pre-diabetes according to the diagnostic criteria of then Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 edition). Kruskal-Wallis n H method and multivariate logistic regression model were used to analyze the relationship between different LAP levels (quartiles) with pre-diabetes and diabetes.n Results:There were 2 996 patients in the normal glucose tolerance group, 1 097 patients in the pre-diabetes group, and 697 patients in the diabetes group. In the 3 groups, age, systolic blood pressure, diastolic blood pressure, BMI, waist circumference, LAP, VAI, FPG, 2hPG, TC, TG and LDL-C increased with the increase of glucose metabolism severity, while HDL-C decreased (all n P<0.05). According to the LAP quartile, there were 1 196 cases in group Q1 (LAP<16.52), 1 198 cases in group Q2 (16.52≤LAP<29.52), 1 195 cases in group Q3 (29.52≤LAP<50.22) and 1 201 cases in group Q4 (LAP≥50.22).With the increase of LAP level, the prevalence of pre-diabetes and diabetes showed an increasing trend, and the difference was statistically significant (n P<0.01). After adjusting for gender, age, education, family history of diabetes, family income, smoking and drinking histories, exercise status, blood pressure, and BMI, the highest LAP level group showed higher risk for pre-diabetes and diabetes with OR(95%CI) 2.94 (2.26 to 3.83) and 5.00 (3.58 to 6.97), respectively.n Conclusions:LAP is closely related to abnormal glucose metabolism. The individuals with higher LAP showed higher risk of pre-diabetes and diabetes, and it has certain clinical value for early warning of abnormal glucose metabolism.