实用医学杂志 ›› 2020, Vol. 36 ›› Issue (23): 3250-3255.doi: 10.3969/j.issn.1006⁃5725.2020.23.017

• 临床研究 • 上一篇    下一篇

老年2型糖尿病伴冠状动脉粥样硬化患者的生存质量影响因素分析

方燕龄, 魏裕涛, 肖新怀, 徐米清, 蓝丹, 徐洁仪, 江幸钻,姚建玲   

  1. 广州医科大学附属第二医院1老年科,2科研管理科,3 内分泌科,4心理科(广州510260)
  • 出版日期:2020-12-10 发布日期:2020-12-23
  • 通讯作者: 姚建玲E⁃mail:1810497098@qq.com
  • 基金资助:
    广东省科技计划项目(编号:2017ZC0246);广东省重点领域研发计划项目(编号:2020B1111030004)

Analysis on the factors influencing quality of life of elderly patients with type 2 diabetes mellitus and coro⁃nary arteries atherosclerosis

FANG Yanling,WEI Yutao,XIAO Xinhuai,XU Miqing,LAN Dan,XU Jieyi,JI⁃ANG Xingzuan,YAO Jianling.#br#   

  1. Geriatrics Department,the Second Affiliated Hospital of Guangzhou Medical Universi⁃ty,Guangzhou 510260,China
  • Online:2020-12-10 Published:2020-12-23
  • Contact: YAO Jianling E⁃mail:1810497098@qq.com

摘要:

目的 调查老年2 型糖尿病(T2DM)伴冠状动脉粥样硬化(CAAS)患者的生存质量(QOL),分析其主要影响因素并提出护理对策。方法 收集2017年1月至2019年12月在广州某三甲医院住院的120例老年T2DM伴CAAS患者的临床资料,使用一般资料调查问卷、糖尿病特异性生存质量量表(DSQL)和糖尿病患者自我管理行为量表(SDSCA)进行调查,运用t 检验、方差检验和相关分析筛选出与QOL相关的因素,通过建立多元线性回归方程模型分析影响患者QOL 的因素,通过绘制ROC 曲线图遴选出预测QOL的指标。结果 共纳入的120例老年T2DM合并CAAS患者,其中男61例,女59例,平均年龄(68.06 ±6.69)岁,受试者DSQL 得分为(70.97 ± 21.41),其中心理维度的QOL 最差,SDSCA 得分为(36.92 ± 12.39),其中血糖监测能力最差。年龄、文化程度、糖尿病病程、血糖控制水平、糖尿病家族史和自我管理行为与QOL得分相关(P < 0.05),建立回归方程模型显示年龄越大、病程越长、血糖控制以及自我管理行为越差的患者,QOL越差。SDSCA得分用于预测QOL的ROC曲线下面积为0.698(95%CI:0.604 ~ 0.793,P < 0.001),自我管理能力是预测QOL 的重要指标。结论 老年T2DM 伴CAAS 患者的QOL 普遍较差,需要提高患者的自我管理能力,尤其是血糖监测能力;积极改善患者精神心理健康状况;关注年龄和病程等危险因素的影响,以提高患者生存的生活质量。

关键词: 2型糖尿病, 冠状动脉粥样硬化, 生存质量, 多元线性回归分析, ROC曲线

Abstract:

Objective To invest the quality of life(QOL)of elderly patients with type 2 diabetes mellitus(T2DM)and coronary arteries atherosclerosis(CAAS),analyze the major influencing factors and put forward nurs⁃ing countermeasures. Methods To gather clinical records of our 120 hospitalized elderly patients with T2DM andCAAS and conduct survey with general questionnaire,diabetes⁃specific quality of life(DSQL)and summary ofdiabetes self⁃care activities(SDSCA). QOL⁃related factors are filtered with T test,variance test and correlationanalysis,and factors influencing patients′ QOL are analyzed with multiple linear regression equation model. Drawthe receiver operating characteristic(ROC)diagram to select indicator for predicting QOL. Results The DSQLscore of the 120 included subjects were(70.97 ± 21.41),among which the QOL of psychological dimension is theworst;and the SDSCA score was(36.92 ± 12.39)with blood glucose monitoring capability the worst. According tostatistical analysis,age,education level,course of diabetes,blood sugar control level,family history of diabetesand self⁃care activities are related factors of QOL. Age,education,course of disease,blood sugar control and self⁃careactivities are the main factors that affect the QOL of the subjects(P<0.05). The regression equation modelshows that the older patients with the longer course of disease,worse blood sugar control and weaker self⁃careactivities,received worse QOL score. Area under ROC curve was 0.698(95%CI:0.604 ~ 0.793,P<0.001),self⁃care activities were an important index to predict QOL. Conclusion The QOL of elderly patients with T2DM andCAAS is generally poor. It is necessary to enhance the self⁃care activities of the patients,especially blood glucosemonitoring care;actively improve the mental and psychological health of the patients;pay attention to the influ⁃ence of risk factors such as age and disease course to improve the QOL of patients.

Key words: type 2 diabetes, coronary atherosclerosis, quality of life, multiple linear regression analysis, receiver operating characteristic diagram