浙江省育龄期女性不孕症患病情况及相关危险因素分析
发布时间:2018-07-10 05:05
本文选题:育龄期女性 + 不孕症 ; 参考:《浙江大学》2017年硕士论文
【摘要】:目的:调查浙江省育龄期女性不孕症患病率、流行现状,探讨不孕症相关危险因素,为不孕症的预防和诊治提供参考。方法:采用分层整群抽样法,随机抽取浙江省10个地区2000名育龄女性进行横断面研究。采用问卷调查、体格检查、妇科检查、经阴道B超检查诊断和评估所有育龄女性的生殖健康状况及不孕相关危险因素。不孕症的诊断标准以最新的美国生殖医学学会(ASRM)[1]2015年制订的指南为准。计量资料采用均数±标准差(x±s)描述其集中和离散程度,在满足方差齐性的条件下,计量资料采用t检验;计数资料中采用率和95%置信区间(95%CI)描述分布,二分类资料采用卡方检验;不孕症的多因素分析采用二元logistic逐步回归进行分析。以P0.05认为差异具有统计学意义。结果:1.本次调查最终获得有效问卷1953份,其中确诊为不孕症患者93名,总患病率为4.76%,其中原发不孕占22.6%(21/93),继发不孕占77.4%(72/93)。2.从不孕症病因来看:输卵管因素26.9%(25/93),排卵障碍24.7%(23/93),子宫因素占8.6%(8/93),子宫内膜异位症占5.4%(5/93),输卵管合并排卵障碍占2.2%(2/93),男性因素占2.2%(2/93),不明原因占11.8%(11/93),另外还有一部分不孕症患者在此次调查中符合不孕症诊断,但无生育要求,目前无就医意愿,占18.3%(17/93)。3.从结婚年龄来看:≥30岁结婚组不孕症的患病率最高,为10.3%,高于25-29岁结婚组5.8%及≤24岁结婚组3.2%(p0.05)。4.单因素分析不孕症的影响因素表明:结婚年龄晚,初潮年龄早,城市户口,脑力劳动者,女性学历高,丈夫学历高,月经不规律,月经稀发(周期38天),月经量过少(5ml),有支原体感染病史,子宫体积小,体重超重(BMI≥25)是女性患不孕症的危险因素(P0.05)。5.多因素分析不孕症的影响因素。根据单因素分析的结果把有意义的结果纳入二元logistic逐步回归方程,进一步证明:结婚年龄晚,初潮年龄早,月经不规律(月经稀发),月经量过少(5ml),有支原体感染史,体重超重(BMI≥25)是浙江省育龄期女性不孕症的危险因素(p0.05)。结论:1.本研究显示浙江省育龄期女性的不孕症患病率为4.76%。2.浙江省育龄期女性不孕症的病因以输卵管因素和排卵障碍为主,其次为子宫因素、子宫内膜异位症、男性因素及不明原因。3.结婚年龄晚,初潮年龄早,月经不规律(月经稀发),月经量过少(5ml),有支原体感染史,体重超重(BMI≥25)为育龄期女性不孕症的危险因素。4.提倡适龄结婚,适龄生育,积极完善孕前检查,月经不规律应积极就诊,控制合理体重。
[Abstract]:Objective: to investigate the prevalence and prevalence of infertility among women of childbearing age in Zhejiang Province, and to explore the risk factors related to infertility in order to provide reference for the prevention, treatment and diagnosis of infertility. Methods: 2000 women of childbearing age in 10 regions of Zhejiang province were randomly selected by stratified cluster sampling. The reproductive health status and risk factors of infertility were diagnosed and evaluated by questionnaire, physical examination, gynecological examination and transvaginal ultrasonography. The diagnostic criteria for infertility are based on the latest guidelines developed by the American Society of Reproductive Medicine (ASRM) in 2015. The mean 卤standard deviation (x 卤s) was used to describe the degree of concentration and dispersion. Under the condition of homogeneity of variance, t test was used to measure the data, and the rate and 95% confidence interval (95% CI) were used to describe the distribution in the counting data. Two classification data were analyzed by chi-square test, and the multivariate analysis of infertility was carried out by binary logistic stepwise regression. P0.05 thought the difference was statistically significant. The result is 1: 1. 1953 valid questionnaires were obtained, of which 93 were diagnosed as infertility, and the total prevalence rate was 4.76. Primary infertility accounted for 22.6% (21 / 93) and secondary infertility 77.4% (72 / 93). Cause of infertility: oviduct factor 26.9% (25 / 93), ovulation disorder 24.7% (23 / 93), uterine factor 8.6% (8 / 93), endometriosis 5.4% (5 / 93), fallopian tube complicated ovulation disorder 2.2% (2 / 93), male factor 2.2% (2 / 93), unknown cause 11.8% (1193). In accordance with the diagnosis of infertility in this investigation, But no fertility requirements, currently no desire to seek medical care, accounting for 18.3% (17 / 93) .3. According to the age of marriage, the incidence of infertility was the highest in the group of 鈮,
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