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女性不孕症患者抑郁的影响因素分析 被引量:11

Influencing Factors of Depression in Infertile Women
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摘要 目的探讨女性不孕症患者抑郁状况及其影响因素,为临床护士对患者实施心理干预提供依据。方法选取318例女性不孕症患者,应用自编的女性不孕症患者一般资料问卷、自评抑郁量表(SDS)、自尊量表(SES)、医学应对问卷(MCMQ)、社会支持评定量表(SSRS)进行调查,并对影响因素进行单因素分析和多因素Logistic回归分析。结果女性不孕症患者的抑郁得分为(49±11)分,抑郁的发生率为49.1%(156/318)。Logistic回归分析显示,影响女性不孕症患者抑郁的因素有年龄〔OR=0.671,95%CI(0.475,0.949)〕、经济水平〔OR=0.725,95%CI(0.617,0.852)〕、自尊〔OR=0.154,95%CI(0.019,1.233)〕、屈服得分〔OR=2.460,95%CI(1.674,3.616)〕、社会支持总分〔OR=0.528,95%CI(0.308,0.904)〕。结论女性不孕症患者抑郁发生率较高,屈服得分是女性不孕症患者抑郁发生的危险因素,而年龄、经济水平、自尊和社会支持总分为其保护因素。医务人员应重视患者的心理状况,针对患者的不同情况实施心理干预。 Objective To investigate the condition of depression and its influencing factors in infertile women so as to provide evidence for psychological intervention on patients.Methods 318 infertile women were surveyed with self-designed Questionnaire of General Information about Infertile Women,Self-Rating Depression Scale(SDS),Self-Esteem Scale(SES),Medical Coping Modes Questionnaire(MCMQ),and Social Support Rating Scale(SSRS).The data were analyzed by univariate and multivariate Logistic regression analyses.Results Mean score of depression was(49 ± 11) in the infertile women.Their incidences of depression were 49.1%(156/318).Logistic regression analysis showed that the influencing factors of depression in infertile women were the age 〔OR = 0.671,95% CI(0.475,0.949) 〕,economic level 〔OR = 0.725,95% CI(0.617,0.852) 〕,self-esteem 〔OR = 0.154,95% CI(0.019,1.233) 〕,resignation 〔OR = 2.460,95% CI(1.674,3.616) 〕and total social support 〔OR = 0.528,95% CI(0.308,0.904) 〕.Conclusion The prevalence of depression in infertile women is high.Resignation is a risk factor;while the age,economic level,self-esteem,total social support are protective factors.Medical staff should pay more attention to the psychological status of patients and give psychological intervention to them according to their individual conditions.
出处 《中国全科医学》 CAS CSCD 北大核心 2013年第22期2630-2633,共4页 Chinese General Practice
基金 湖南省自然科学基金项目(10JJ3074)
关键词 不孕症 抑郁 影响因素 回归分析 Infertility Depression Influencing factors Regression analysis
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