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门诊患者宫颈癌现患率及危险因素Logistic回归分析 被引量:6

Logistic regression analysis on prevalence rate of cervical cancer and risk factors in outpatient
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摘要 目的:探讨宫颈癌的现患率并分析其相关危险因素。方法:回顾分析确诊为宫颈癌的患者65例和随机选取的114例确诊未发生宫颈鳞状上皮内瘤变的健康妇女的相关资料,并对其进行问卷调查及相关检查,对各指标行单因素和多因素非条件Logistic回归分析。结果:宫颈癌现患率为240/10万。单因素分析发现,与宫颈癌发生有关的是人乳头瘤病毒(HPV)感染(P<0.01)、血清硒(Se)含量<1.06μg/ml(P<0.01),患宫颈炎年限>2年(P<0.01)、性伴侣>3个(P<0.05)、避孕套防护(P<0.01),多因素非条件Logistic分析发现宫颈癌发病主要危险因素依次是HPV感染(P<0.01)、血清Se含量<1.06μg/ml(P<0.01)。结论:宫颈癌现患率处在相对较高的水平,HPV感染、血清Se含量低与宫颈癌的发生有很大关联,因此预防HPV感染,补充微量元素Se对控制女性宫颈癌会起到积极作用。 Objective:To explore the prevalence rate of cervical cancer and analyze the related risk factors.Methods:The related data of 65 patients diagnosed as cervical cancer definitely and 114 healthy women without cervical intraepithelial neoplasia(CIN) definitely were analyzed retrospectively,questionnaire investigation and related examination were performed,than univariate non-conditional logistic regression analysis and multivariate non-conditional logistic regression analysis were used to analyze the indexesnon-conditional logistic regression analysis.Results:The prevalence rate of cervical cancer was 240/100 000.Univariate logistic regression analysis showed that the related factors of cervical cancer were human papillomavirus(HPV) infection(P0.01),serum selenium content1.06 μg/ml(P0.01),the duration time of cervical inflammationtwo years(P0.01),the number of sexual parters3,and contraception with condom;multivariate non-conditional logistic regression analysis showed that the main risk factors of occurrence of cervical cancer were HPV infection(P0.01) and serum selenium content1.06 μg/ml(P0.01).Conclusion:The prevalence rate of cervical cancer is at a high level;HPV infection and low serum selenium content are correlated with the occurrence of cervical cancer,so preventing HPV infection and supplying selenium can paly active roles in controlling female cervical cancer.
出处 《中国妇幼保健》 CAS 北大核心 2013年第3期420-422,共3页 Maternal and Child Health Care of China
关键词 子宫肿瘤 现患率 危险因素 回归分析 Cervical cancer Prevalence rates Risk factors Regression analysis
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