河北省妇女围绝经期综合征及影响因素分析  被引量:7

Perimenopausal syndrome and its influencing factors in wonen of Hebei province

在线阅读下载全文

作  者:陈长香[1] 李建民[1] 岳静玲[2] 李淑杏[1] 赵雅宁[1] 

机构地区:[1]华北煤炭医学院护理学系,河北唐山063000 [2]华北煤炭医学院学报编辑部

出  处:《中国公共卫生》2009年第10期1168-1170,共3页Chinese Journal of Public Health

基  金:河北省科技厅课题(042761412)

摘  要:目的了解河北省各地区城乡妇女围绝经期症状与抑郁程度及其影响因素,以便采取措施提高围绝经期妇女健康水平及生活质量。方法选取河北省7个地区,按照城乡分层,共抽取700名45-55岁妇女,进行问卷调查、Kupperm an评分。有效问卷627份。结果627名调查对象中,围绝经期综合征总发生率为95.22%,轻度症状占22.65%,中度症状占61.08%,重度症状占11.48%;抑郁总发生率为31.26%,可疑抑郁者占9.89%,肯定抑郁者占21.37%;城市、无工作、伴侣患病离异丧偶、婚姻质量差、居住环境欠佳、与子女及邻里同事关系差、月经紊乱、无社会或家庭支持发生围绝经期综合征的频率或程度高,差异有统计学意义(P〈0.05或P〈0.01);围绝经期综合征程度越重,抑郁发生率越高,差异有统计学意义(P〈0.01)。结论河北省城乡妇女围绝经期综合征及抑郁发生率高,影响因素复杂,应引起重视。Objective To understand the prevalence and impact factors of perimenopausal and depressive symptoms in urban and rural women of Hebei for improving perimenopausal women's health and quality of life. Methods With stratified random sampling,700 women aged 45 -55 years were selected from 7 urban and rural regions of Hebei province. Basic information questionnaire, Kupperman score sheet and seflf-rating depression scale (SDS) were adopted. Results Among the subjects ,95.22% reported perimenopausal syndrome ;31.26% had depression. The women living in the town, and without job, with illness partner, divorced, with poor marriage quality, with poor living condition, having bad neighborhood or colleague relationship, with menstrual disorder, without social or family support had higher rate of perimenopausal syndrome with significant difference ( P 〈 0.05 or P 〈 0.01 ). The women with perimenopausal syndrome had significant higher rate of depression. Conclusion The incidence of perimenopausal syndrome and depression were higher among women of 45 - 55 years in Hebei urban and rural areas and the influencing factors were complex.

关 键 词:围绝经期综合征 影响因素 抑郁 城乡妇女 围绝经期妇女 

分 类 号:R175[医药卫生—妇幼卫生保健]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象