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机构地区:[1]首都医科大学附属北京友谊医院综合科(老年病科),北京市100050
出 处:《实用老年医学》2006年第5期322-324,共3页Practical Geriatrics
摘 要:目的调查2型糖尿病(T2DM)患者焦虑和抑郁的患病率,分析与之相关的危险因素。方法选取123例T2DM患者,对其一般情况、代谢指标等进行检查,分别采用焦虑自评量表(SAS)、抑郁自评量表(SDS)评价受试者的焦虑、抑郁程度,分析T2DM患者的心理状态,应用Logistic回归分析筛选与之相关的影响因素。结果T2DM患者抑郁患病率为38·2%,焦虑患病率为29·3%。进入焦虑单因素非条件Logistic回归方程的有:糖化血红蛋白(HbA1c)、24h微量尿白蛋白(UALB)、眼底改变、吸烟史、家族史、并发症数;进入抑郁单因素非条件Logistic回归方程的有:性别、HbA1c、UALB、总胆固醇(TC)、吸烟史、病程、并发症数。进入焦虑多因素非条件Logistic回归方程的有:HbA1c、UALB和并发症数目;进入抑郁多因素非条件Logistic回归方程的有:HbA1c、病程、吸烟史和并发症数目。结论抑郁、焦虑为T2DM患者常见心理障碍,HbA1c以及并发症数目为T2DM患者心理障碍的独立危险因素。Objective To investigate the prevalence of anxiety and depression and their risk factors in elderly patients with type 2 diabetes. Methods We conducted a cross-sectional study of 123 elderly patients with type 2 diabetes in our hospital. The self-rating anxiety scale(SAS) and the self-rating depression scale(SDS) were used to screen anxiety and depression, meanwhile ,the demographic data, metabolic data and diabetes behaviors were also investigated. Results The prevalence of anxiety and depression were 29. 3% and 38.2% , respectively. Variables of the anxiety in the unconditional univariate Logistic regression equation included HbA1c, UALB, change of eye fundus, smoking history, family history and the number of the chronic diabetic complications. Variables of the depression in the unconditional univariate Logistic regression equation included sex, HbA1c, UALB,TC, smoking history, duration and the number of the chronic diabetic complications. Variables of the anxiety in the unconditional multivariate Logistic regression equation included HbA1c, UALB and the number of the chronic complications. Variables of the depression in the unconditional multivariate Logistic regression equation included HbA1c, duration, smoking history and the number of the chronic diabetic complications. Conclusions Anxiety and depression are the frequent mental disorders, and HbA1c and the number of the chronic diabetic complications are independent risk factors of the frequent mental disorders in elderly patients with type 2 diabetes.
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