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脂质蓄积指数与糖尿病患病风险的关系
引用本文:邵琦,吴毅凌,江峰,刘星,王娜,姜永根,赵根明,赵琦. 脂质蓄积指数与糖尿病患病风险的关系[J]. 中华疾病控制杂志, 2022, 26(2): 125-130,243. DOI: 10.16462/j.cnki.zhjbkz.2022.02.001
作者姓名:邵琦  吴毅凌  江峰  刘星  王娜  姜永根  赵根明  赵琦
作者单位:1.200032 上海,复旦大学公共卫生学院流行病学教研室
基金项目:上海市高峰计划公共卫生与预防医学重点学科建设项目;国家重点研发计划
摘    要:
目的 探讨脂质蓄积指数(lipid accumulation product,LAP)与糖尿病患病风险的关系,并比较不同肥胖评价指标对糖尿病患病风险的预测价值.方法 2016年6月-2017年12月,采取多阶段分层整群抽样的方法,选择上海市松江区4个社区20~74岁常住居民作为研究对象,对其进行问卷调查及体格、生化检查...

关 键 词:脂质蓄积指数  糖尿病  肥胖
收稿时间:2021-06-04

The relationship between lipid accumulation product and the risk of diabetes
SHAO Qi,WU Yiling,JIANG Feng,LIU Xing,WANG Na,JIANG Yong-gen,ZHAO Gen-ming,ZHAO Qi. The relationship between lipid accumulation product and the risk of diabetes[J]. Chinese Journal of Disease Control & Prevention, 2022, 26(2): 125-130,243. DOI: 10.16462/j.cnki.zhjbkz.2022.02.001
Authors:SHAO Qi  WU Yiling  JIANG Feng  LIU Xing  WANG Na  JIANG Yong-gen  ZHAO Gen-ming  ZHAO Qi
Affiliation:1.Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China2.Songjiang District Center for Disease Control and Prevention, Shanghai 201600, China
Abstract:
Objective To explore the relationship between lipid accumulation product(LAP) and the risk of diabetes among adults, and to compare the effectiveness of different obesity indicators in predicting diabetes. Methods A multi-stage stratified cluster sampling method was conducted among adults aged 20-74 in 4 communities in Songjiang District of Shanghai during June 2016 to December 2017. Questionnaire investigation, physical and biochemical examination were used to collect data. Logistic regression analysis models were used to evaluate the association LAP and diabetes, and receiver operating characteristics curve(ROC) was used to evaluate the predictive value of various obesity indicators in diabetes. Results The level of fasting blood glucose and HbA1 c was increased with the increasing of LAP(P<0. 05). Compared to the first quintile of LAP level, risk of having diabetes in the fourth quintile were 1.81 times(95% CI: 1.53-2.14) for male and 2.87 times(95% CI: 2.43-3.40) for female respectively. The predictive value of LAP was higher than BMI(P<0.05) both in male and female. It was also higher than waist circumference in female(P<0.05). The cut-off point for LAP in predicting diabetes was 23.30 cm·mmol/L for male and 30.41 cm·mmol/L for female. Conclusion LAP could be used to predict the risk of diabetes, especially in women.
Keywords:Lipid accumulation product  Diabetes  Obesity
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