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本文根据175例宫颈癌病例配对资料进行宫颈癌发病因素的研究。为排除混杂因素,先后进行了单因素分析,二因素和三因素分层分析及其Logistic多因素回归分析。结果:宫颈糜烂、不注意月经期卫生、本人结婚次数≥3次三个因素与宫颈的联系强度其差异均有显著意义。条件Logistic回归分析排除了配偶性混乱、未避孕、包皮过长、配偶结婚≥3次等正混杂效应;还排除了本人性混乱的负混杂效应,确定为差异有显著意义。
This article based on 175 cases of cervical cancer paired case of cervical cancer risk factors. To eliminate confounding factors, one-factor analysis, two-factor and three-factor stratification analysis and Logistic multivariate regression analysis were carried out successively. Results: Cervical erosion, do not pay attention to menstrual hygiene, I married more than 3 times the three factors and cervical strength of the differences were significant. Conditional Logistic regression analysis ruled out positive confounding effects such as spouse disorder, non-contraception, excessive prepuce and spouse marrying ≥3 times. It also excluded the negative confounding effect of sexual confusion and was found to have significant difference.