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作 者:吴申燕 张宇馨 陈成 周恩慧 申毅力 胡宇欣 洪峰[1] WU Shen-yan;ZHANG Yu-xin;CHEN Cheng;ZHOU En-hui;SHEN Yi-li;HU Yu-xin;HONG Feng(School of Public Health,the key of Laboratory of Environmental Pollution Monitoring and Disease Control,Ministry of Education,Guizhou Medical University,Guiyang,Guizhou 561113,China;不详)
机构地区:[1]贵州医科大学公共卫生与健康学院、环境污染与疾病监控教育部重点实验室,贵州贵阳561113
出 处:《现代预防医学》2024年第16期2887-2891,2917,共6页Modern Preventive Medicine
基 金:国家自然科学基金项目(82173566);国家重点研发计划课题(2017YFC0907301)。
摘 要:目的研究贵州省少数民族心脏代谢指数(CMI)对高尿酸血症(HUA)的关联关系。方法基于“中国多民族队列研究”,共纳入16630名30~79岁苗族、侗族、布依族人群作为研究对象。Logistic回归模型分析CMI与HUA的关系,限制性立方样条分析CMI与HUA的剂量-反应关系,采用ROC曲线分析CMI对HUA的预测价值。结果HUA总体检出率为22.8%,苗族、侗族、布依族人群分别为22.8%、24.4%、25.2%、18.5%。在总人群、苗、侗、布依族人群中,调整协变量后,与Q1相比,CMI Q4组患HUA的OR分别为4.39(95%CI:3.76~5.12)、3.96(95%CI:3.03~5.18)、4.28(95%CI:3.36~5.46)、5.55(95%CI:4.08~7.54),CMI与HUA风险之间呈非线性剂量-反应关系(P for nonlinear<0.001)。ROC曲线分析显示,CMI在总人群、苗、侗、布依族人群中预测HUA患病风险的曲线下面积(最佳截断值、灵敏度、特异度)分别为0.742(0.641、68.3%、68.8%),0.724(0.651、63.8%、70.8%)0.741(0.654、68.5%、68.1%)、0.775(0.555、68.8%、73.0%)。结论CMI对不同民族人群HUA患病风险增加有关,可作为预测贵州省少数民族人群HUA的指标。Objective To study the relationship between the cardiometabolic index(CMI)and hyperuricemia(HUA)in Guizhou minorities.Methods Based on the"China Multi-ethnic Cohort Study",16630 Miao,Dong and Bouyei population aged 30 to 79 years were included in the study.Logistic regression model was used to analyze the association between CMI and HUA,restricted cubic spline was used to analyze the dose-response relationship between CMI and HUA,and ROC curve was used to analyze the predictive value of CMI for HUA.Results The overall detection rate of HUA was 22.8%,and those of Miao,Dong and Bouyei nationalities were 24.4%,25.2%and 18.5%,respectively.In the total population,Miao,Dong and Bouyei populations,after adjusting for covariates,compared with Q1,the ORs for HUA were 4.39(95%CI:3.76-5.12),3.96(95%CI:3.03-5.18),4.28(95%Cl:3.36-5.46),and 5.55(95%Cl:4.08-7.54)in CMI Q4 group,respectively.There was a non-linear dose-response relationship between CMI and risk of HUA(P for nonlinear<O.001).ROC curve analysis showed that,the area under the curve(the best cut-off value,sensitivity and specificity)of CMI for predicting the risk of HUA in the total population,Miao,Dong and Bouyei populations were 0.742(0.641,68.3%,68.8%),0.724(0.651,63.8%,70.8%)0.741(0.654,68.5%,68.1%),0.775(0.555,68.8%,73.0%).Conclusion CMI is associated with the increased risk of HUA in different ethnic populations,and can be used as an indicator for predicting HUA in ethnic minority populations in Guizhou province.
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