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目的探讨脑卒中患者并发抑郁的相关因素的logistic回归分析及其护理对策。方法选取2011年6月至2016年6月期间我院确诊治疗的脑卒中患者300例,所有患者采用汉密尔顿抑郁量表(HAMD)评估抑郁状态,依据是否并发抑郁分为并发组(125例)和对照组(175例),采用美国国立卫生研究院卒中量表(NIHSS)评估神经功能,采用Barthel指数(BI)评估生活能力,采用单因素分析法分析脑卒中患者并发抑郁的相关因素,采用logistic回归分析法筛选其中的危险因素,统计分析所有患者的一般资料、抑郁、神经功能、生活能力等情况。结果单因素分析结果显示,并发组和对照组患者在性别、年龄、脑卒中性质方面基本相同,无显著性差异(P>0.05),并发组患者低文化程度、NIHSS得分、合并基础疾病率、病程、独居率明显高于对照组,前者BI得分明显低于后者,有显著性差异(P<0.05);logistic回归分析法结果显示,低文化程度、高神经功能缺损、合并基础疾病、长病程、独居是脑卒中患者并发抑郁的独立危险因素,高生活能力是其保护因素(P<0.05)。结论低文化程度、高神经功能缺损、合并基础疾病、长病程、独居与脑卒中患者并发抑郁有关,前者是后者的独立危险因素,而高生活能力是后者的保护因素,提示护理人员应对上述危险因素人群加强干预治疗,同时提高患者生活能力,以防治抑郁症。
Objective To investigate the related factors of stroke complicated by depression by logistic regression analysis and nursing strategies. Methods Three hundred and thirty stroke patients diagnosed in our hospital from June 2011 to June 2016 were selected. All patients were assessed with Hamilton Depression Rating Scale (HAMD) for depression status and divided into concurrent group (125 patients) and non-concurrent group The control group (n = 175) was assessed for neurological function using the National Institutes of Health Stroke Scale (NIHSS), Barthel index (BI), and univariate analysis of the factors associated with depression in stroke patients using logistic The risk factors were screened by regression analysis, and the general information, depression, neurological function and living ability of all patients were statistically analyzed. Results The results of univariate analysis showed that the patients in the concurrent group and the control group were basically the same in terms of sex, age and stroke. There was no significant difference (P> 0.05) between the concurrent group and the control group. The low education level, NIHSS score, combined basic disease rate, (P <0.05). The results of logistic regression analysis showed that the educational level, high neurological deficit, combined with basic diseases, long The duration of illness and living alone were independent risk factors for depression in stroke patients. High living ability was the protective factor (P <0.05). Conclusions Low education level, high neurological deficit, combined basic disease, long course of illness, living alone and stroke patients are associated with depression. The former is the independent risk factor of the latter, and the high living ability is the protective factor of the latter, suggesting that nurses should cope with depression The risk factors in the population to strengthen intervention in treatment, while improving patient ability to prevent depression.