摘要
目的探讨围绝经期女性患者焦虑抑郁情绪的检出率和影响因素。方法采用自编问卷、抑郁自评量表(SDS)和焦虑自评量表(SAS)对2011年12月-2012年12月在浙江省金华市中心医院住院治疗的200例围绝经期女性患者进行测评,运用SPSS 18.0统计软件进行描述性统计和二分类Logistic回归分析,探讨围绝经期女性患者焦虑抑郁情绪检出率和影响因素,旨在为采取针对性的干预措施提供参考依据。结果 200例围绝经期女性患者中焦虑情绪检出率为20.50%(41/200),抑郁情绪检出率为22.50%(45/200)。多因素Logistic回归分析显示,伴侣健康状况好是围绝经期女性患者住院期间焦虑情绪的保护因素(P<0.05),经济状况好是围绝经期女性患者住院期间抑郁情绪的保护因素(P<0.05),文化程度高和婚姻自我感觉好是围绝经期女性患者住院期间焦虑抑郁情绪的保护因素(P<0.05),患者年龄大和所患疾病为恶性是围绝经期女性患者住院期间焦虑、抑郁情绪的危险因素(P<0.05)。结论围绝经期女性患者抑郁焦虑情绪检出率较高,其发生影响因素众多。在对患者进行干预的过程中,应对高危人群进行重点干预,减少患者焦虑抑郁情绪的出现。
Objective To investigate anxiety and depression of perimenopausal women during hospitalization and its influence factors.Methods 200 perimenopausal women who were treated in Department of Obstetrics and Gynecology in the Central Hospital of Jinhua City in Zhejiang Province were surveyed by the self-rating anxiety scale(SAS) and self-rating depression scale(SDS).Then they were analyzed by descriptive statistics and binary classification Logistic regression analysis of SPSS 16.0,the detection rate of anxiety and depression of perimenopausal women and influence factors were discussed,in order to provide reference basis for targeted intervention measures.Results The overall prevalence of anxiety and depression was 20.50%(41/200) and 22.50%(45/200) in perimenopausal women respectively.Multivariate Logistic analysis indicated that partner in good health was a protective factor for anxiety(P〈0.05),good economic situation was a protective factor for depression(P〈0.05),high degree of culture and feeling marriage good were protective factors for anxiety and depression(P〈0.05),elder and malignant disease were risk factors for anxiety and depression(P〈0.05).Conclusion The overall prevalence of anxiety and depression is high,they are affected by various factors.In daily work,the corresponding measures should be taken to for high risk group,reduce the occur rence rate of anxiety and depression.
出处
《中国医药导报》
CAS
2013年第24期134-136,共3页
China Medical Herald
基金
江苏省自然科学基金项目(项目编号:BK2011846)
关键词
围绝经期
女性
情绪
影响因素
Perimenopausal
Women
Mood
Influential factors