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王巍.心房颤动患者焦虑抑郁程度及人口学影响因素分析[J].上海护理,2020,20(8):
心房颤动患者焦虑抑郁程度及人口学影响因素分析
DOI：
中文关键词:  心房颤动  焦虑  抑郁
英文关键词:Atrial Fibrillation  Anxiety  Depression
基金项目:] 大连市心血管疾病住院患者焦虑抑郁现患率相关研究(项目编号：1712024)
作者单位E-mail
王巍* 大连医科大学附属第一医院 254873495@qq.com 
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中文摘要:
      目的：研究心房颤动患者焦虑和抑郁发生程度以及人口学影响因素。方法：纳入心房颤动患者240例,应用患者一般资料调查表,焦虑自评表(SAS)、抑郁自评表(SDS)进行焦虑和抑郁程度评估,将病程、性别、年龄、文化程度、经济状况、婚姻状况等11个人口经济学因素进行分析。结果：房颤患者焦虑、抑郁发生率分别为29.2%、61.6%。单因素分析显示：年龄、居住地、主要经济来源、职业、居住状况为房颤患者焦虑、抑郁的主要影响因素(P<0.05)。Logisitic多因素回归分析发现高龄、农村居民、无稳定收入为焦虑发生独立影响因素；无固定收入职业、独居为抑郁发生的独立影响因素。结论：提示需重视房颤患者心理影响因素,及时给予干预,对疾病诊断、治疗效果和护理有重要临床意义。
英文摘要:
      Objective: To study the degree of anxiety and depression in atrial fibrillation patients and demographic factors. Methods: A total of 240 patients with atrial fibrillation were enrolled. The general data questionnaire, the self-assessment questionnaire (SAS) and the self-assessment table for depression (SDS) were used to evaluate the degree of anxiety and depression. The disease course, gender, age, education level and economic status were analyzed. Analysis of the economic factors of 11 people, such as marital status. Results: The incidence of anxiety and depression in patients with atrial fibrillation was 29.2% and 61.6%, respectively. Univariate analysis showed that age, place of residence, main economic source, occupation, and living status were the main influencing factors of anxiety and depression in patients with atrial fibrillation (P<0.05). Logisitic multivariate regression analysis found that elderly, rural residents, and non-stable income were independent factors influencing anxiety; there was no fixed income occupation, and independent living was an independent influencing factor of depression. Conclusion: It is suggested that the psychological influence factors of patients with atrial fibrillation should be emphasized, and timely intervention should have important clinical significance for disease diagnosis, treatment effect and nursing.
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