40～55岁社区妇女围绝经期症状和焦虑、抑郁症状评分及相关因素分析

目的了解40-55岁社区妇女围绝经期症状和焦虑、抑郁症状评分及其相关因素,为开展社区妇女干预提供依据。方法采用简单抽样方法,从北京市东城区和上海市杨浦区抽取1 312名40-55岁社区妇女为调查对象,应用Kupperman、SAS、SDS量表和自编问卷进行调查。最优尺度回归和Logistic多元回归分析围绝经期症状、焦虑和抑郁症状的相关因素。结果 40-55岁社区妇女围绝经期症状的检出率为50.8%,焦虑症表现的检出率为9.5%,抑郁症表现的检出率为25.9%。最优尺度和Logistic多元回归分析的回归模型显示：家庭月收入、有无慢性病和性生活与Kupperman、SAS、SDS评分显著相关;...

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Published in复旦学报（医学版） Vol. 44; no. 1; pp. 27 - 33
Main Author 李瑞霞 马敏 肖喜荣 徐嬿 顾超 何平 李斌
Format Journal Article
LanguageChinese
Published 复旦大学附属妇产科医院妇科 上海200011%上海交通大学医学院附属新华医院儿科医学研究所 上海200092 2017
Subjects
Kupperman评分
SAS评分
SDS评分
围绝经期症状
相关因素
社区妇女
perimenopausal syndrome
Kupperman score
SDS评分
SAS评分
community-women
SAS scores associated factors
Kupperman评分
SDS score
社区妇女
相关因素
围绝经期症状
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Summary:目的了解40-55岁社区妇女围绝经期症状和焦虑、抑郁症状评分及其相关因素,为开展社区妇女干预提供依据。方法采用简单抽样方法,从北京市东城区和上海市杨浦区抽取1 312名40-55岁社区妇女为调查对象,应用Kupperman、SAS、SDS量表和自编问卷进行调查。最优尺度回归和Logistic多元回归分析围绝经期症状、焦虑和抑郁症状的相关因素。结果 40-55岁社区妇女围绝经期症状的检出率为50.8%,焦虑症表现的检出率为9.5%,抑郁症表现的检出率为25.9%。最优尺度和Logistic多元回归分析的回归模型显示：家庭月收入、有无慢性病和性生活与Kupperman、SAS、SDS评分显著相关;文化程度与SDS评分显著相关。围绝经期症状是焦虑和抑郁的相关危险因素,围绝经期症状的严重程度则是焦虑的相关危险因素。结论围绝经期症状及相关的焦虑、抑郁症状影响围绝经期妇女的身心健康,性生活、家庭月收入、慢性病等与此显著相关。
Bibliography:community-women; perimenopausal syndrome; Kupperman score; SDS score; SAS score; associated factors
Objective To evaluate perimenopausal syndrome,anxiety and depression and their associated factors in community-women aged 40 to 55 years old and to provide a basis for future community intervention strategies. Methods A total of 1 312 women aged 40 to 55 years from Beijing and Shanghai participated in the study. All the Kupperman scale,SAS scale,SDS scale and self-administrated questionnaire were conducted. Optimal scaling regression analysis and multivariable Logistic regression analysis were used to evaluate associated factors of perimenopausal syndrome,anxiety and depression. X Results The incidence of perimenopausal syndrome,anxiety and depression were 5 0. 8 %,9. 5 %,and 2 5.9 %, respectively. Optimal scaling regression analysis and multivariable logistic regression analysis revealed that monthly household income,presence of chronic diseases and sexual life were significantly associated with prediction of K
ISSN:1672-8467
DOI:10.3969/j.issn.1672-8467.2017.01.005