检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:仲崇丽[1] 程远娟[2] 吴政杰[3] 陈思[4] ZHONG Chongli;CHEN Yuanjuan;WU Zhengjie;CHEN Si(Department of Endocrinology,the Second Hospital of Jilin University,Jilin Province,Changchun 130041,China;Department of Nursing,the Second Hospital of Jilin University,Jilin Province,Changchun 130041,China;Department of Geriatrics,the Second Hospital of Jilin University,Jilin Province,Changchun 130041,China;Department of Geriatrics and General Medicine,the Second Hospital of Jilin University,Jilin Province,Changchun 130041,China)
机构地区:[1]吉林大学第二医院内分泌科,吉林长春130041 [2]吉林大学第二医院护理部,吉林长春130041 [3]吉林大学第二医院老年病科,吉林长春130041 [4]吉林大学第二医院老年病及全科医学科,吉林长春130041
出 处:《中国医药导报》2019年第29期57-60,共4页China Medical Herald
基 金:吉林省卫生计生管理模式革新项目(2017G022)
摘 要:目的探究长春市农村糖尿病患者血糖达标情况及相关危险因素。方法选择2017年5月~2018年12月于吉林大学第二医院就诊的880例2型糖尿病患者作为研究对象,以糖化血红蛋白指标检测结果为依据,将患者分成血糖达标组和血糖未达标组。单因素分析患者的一般资料,对差异有统计学意义的单因素进行非条件Logistic多因素回归分析,探究发生血糖未达标的危险因素并建立预测模型。结果两组患者的年龄、文化程度、病程、给药是否规律、家庭人均月收入、是否退休、糖尿病并发症、治疗情况、是否有血糖仪及体重指数等比较,差异均有统计学意义(P<0.05)。Logistic回归分析显示病程长(OR=2.504,95%CI:1.074~5.840)、给药不规律(OR=11.045,95%CI:2.367~51.550)、在职(OR=1.260,95%CI:1.118~1.420)、联合治疗(OR=2.977,95%CI:2.339~3.789)、肥胖(OR=3.796,95%CI:2.113~6.821)及糖尿病并发症(OR=38.900,95%CI:3.695~409.509)等6项指标差异有统计学意义(P<0.05)。结论病程长、给药不规律、在职、联合治疗、肥胖及糖尿病并发症是糖尿病患者血糖未达标的危险因素,该模型有望用于提高糖尿病患者的血糖控制率。Objective To explore the blood glucose compliance status and related risk factors in rural diabetic patients in Changchun.Methods Eight hundred and eighty type 2 diabetes mellitus patients from May 2017 to December 2018 treated in the Second Hospital of Jilin University were selected as study objectives.According to the results of glycosylated hemoglobin test,the patients were divided into two groups:blood glucose standard group and blood glucose non-standard group.Univariate analysis was used to analyze the general data of patients.Unconditional Logistic multivariate regression analysis was carried out to investigate the risk factors of blood sugar failure and establish a prediction model.Results There were significant differences in age,education level,course of disease,regularity of administration,family income per capita,retirement,complications of diabetes,treatment,blood glucose meter and body mass index between two groups(P<0.05).Logistic regression analysis showed that long course of disease(OR=2.504,95%CI:1.074-5.840),irregular administration(OR=11.045,95%CI:2.367-51.550),on-the-job(OR=1.260,95%CI:1.118-1.420),combined treatment(OR=2.977,95%CI:2.339-3.789),obesity(OR=3.796,95%CI:2.113-6.821),diabetic complications(OR=38.900,95%CI:3.695-409.509)had significant differences(P<0.05).Conclusion Long course of disease,irregular administration,on-the-job,combined treatment,obesity and diabetic complications are risk factors for diabetic patients'unsatisfactory blood sugar.This model is expected to be used to improve the control rate of blood sugar in diabetic patients.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28