新疆哈密地区不孕症患病率及相关因素调查分析(1)
【摘要】目的：调查新疆哈密地区不孕症患病率情况，分析不孕症的相关因素。方法：回顾自2006年6月至2011年12月份以来，门诊调查的不孕症患者的资料，对患者的一般情况如性别、年龄、婚姻情况及受教育程度，女方相关的疾病史、体格检查、妇科检查和有关的特殊检查，相关病史如月经史、妊娠史、性生活史，女方治疗不孕症的用药史，男方年龄、精液检查、生殖器疾病史等，用采用卡方检验、单因素非条件Logistic回归分析和多因素非条件Logistic回归分析，模型筛选采用Stepwise法。评价影响不孕症患病率的相关因素。结果：不孕症发生率是7.4%，不孕症病因中占首位的是输卵管问题，占51.5%；第二位是男性因素，占31.9%；第三位是宫颈因素，占26.1%；第四位是排卵问题，占18%；第五位是子宫因素，占14%。通过单因素logistic分析，发现年龄、教育程度、工作、户口、女性因素、性别因素、流产史、性生活次数、分居情况、避孕等，P<0.05，与不孕症患病率相关。通过多因素logistic分析，显示年龄(OR=1.271，95%CI：0.422-2.120)、教育程度(OR=3.14195%CI：0.513-4.769)、户口(OR=1.310，95%CI：0.769-1.851)等是不孕症患病率的主要促进因素。结论：不孕症发生率是7.4%，结婚年龄>25岁的人不孕症发生率是20～25岁结婚的1.27倍：妻子文化程度是大专或以上学历的不孕症发生率是学历为初中及以下的2.14倍，非农业户籍不孕症发生率是农业户籍的1.31倍。
【关键词】不孕症；相关因素；患病率
Investigation of prevalence of infertilityin Xinjiang Hami region and its relevant factorsWANG Songfeng， LONG Mei CAI XiaΔ. Reproductive Medicine Center， The First Hospital Affiliated to Xinjiang Medical University， Urumqi 830054， China
【Abstract】Objectives： To investigate the prevalence of infertility in Hami region and its relevant factors. Methods： Outpatient data of infertility patients from June 2006 to December 2011 were retrospectively studied. The patients’ general conditions such as gender， age， marital status and level of education； female related disease history， physical examination， gynecological examination and relevant special examination； medical history such as menstrual history， pregnancy history and sexual history； medication history for treatment of infertility； male age， semen， genital disease history， etc.， were tested with the use of chi-square test， univariate non Logistic regression analysis and multivariate Logistic regression analysis model using Stepwise screening method. Factors affecting the prevalence of infertility were analyzed. Results： The incidence of infertility was 7.4%， with the main cause of of tubal problem (51.5%)， followed by male factor (31.9%)， cervical factor (26.1%)， ovulation problem (18%) and uterine factor (14%). By univariate logistic regression analysis， it was found that age， education， work， household， female factors， gender， history of abortion， the number of sex， separation conditions and contraception all were related to the prevalence of infertility， P<0.05. Multivariate logistic analysis showed that age (OR = 1.271， 95% CI： 0.422-2.120)， educational level (OR = 3.14195% CI： 0.513-4.769)， household (OR = 1.310， 95% CI： 0.769-1.851) were the main contributing factors to the prevalence of infertility. Conclusions： The incidence of infertility is 7.4%： that of the marriage age>25 years old is 1.27 times of that of 20-25 years old； that of wives whose educational level is college or above is 2.14 times of those with junior high school and below education； that of non-agricultural households is 1.31 times of that of agricultural households., 百拇医药(王松峰 龙梅 蔡霞)
【关键词】不孕症；相关因素；患病率
Investigation of prevalence of infertilityin Xinjiang Hami region and its relevant factorsWANG Songfeng， LONG Mei CAI XiaΔ. Reproductive Medicine Center， The First Hospital Affiliated to Xinjiang Medical University， Urumqi 830054， China
【Abstract】Objectives： To investigate the prevalence of infertility in Hami region and its relevant factors. Methods： Outpatient data of infertility patients from June 2006 to December 2011 were retrospectively studied. The patients’ general conditions such as gender， age， marital status and level of education； female related disease history， physical examination， gynecological examination and relevant special examination； medical history such as menstrual history， pregnancy history and sexual history； medication history for treatment of infertility； male age， semen， genital disease history， etc.， were tested with the use of chi-square test， univariate non Logistic regression analysis and multivariate Logistic regression analysis model using Stepwise screening method. Factors affecting the prevalence of infertility were analyzed. Results： The incidence of infertility was 7.4%， with the main cause of of tubal problem (51.5%)， followed by male factor (31.9%)， cervical factor (26.1%)， ovulation problem (18%) and uterine factor (14%). By univariate logistic regression analysis， it was found that age， education， work， household， female factors， gender， history of abortion， the number of sex， separation conditions and contraception all were related to the prevalence of infertility， P<0.05. Multivariate logistic analysis showed that age (OR = 1.271， 95% CI： 0.422-2.120)， educational level (OR = 3.14195% CI： 0.513-4.769)， household (OR = 1.310， 95% CI： 0.769-1.851) were the main contributing factors to the prevalence of infertility. Conclusions： The incidence of infertility is 7.4%： that of the marriage age>25 years old is 1.27 times of that of 20-25 years old； that of wives whose educational level is college or above is 2.14 times of those with junior high school and below education； that of non-agricultural households is 1.31 times of that of agricultural households., 百拇医药(王松峰 龙梅 蔡霞)