首页> 外文期刊>Surgical Science >Study of Cofactors Associated with Precancerous High-Grade Cervical Lesions at the Teaching Hospital Gabriel Touré, 2010 to 2015
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Study of Cofactors Associated with Precancerous High-Grade Cervical Lesions at the Teaching Hospital Gabriel Touré, 2010 to 2015

机译:2010年至2015年在教学医院Gabriel Touré研究与癌前高级别宫颈病变相关的辅助因子

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Introduction : High grade dysplasia of the cervix has a high incidence and can progress to cervical cancer. The aim was to study cofactors associated with high-grade cervical dysplasia. Methodology : This was a retrospective case-control study without matching. Women with high grade dysplasia were the cases while those with a normal screening test represented the controls. The study took place at the Gabriel Touré University Hospital Center in Bamako. We included 351 cases and 420 controls. The capture and analysis were performed using the SPSS 20 software. A univariate and multivariate logistic regression analysis was performed for the analysis of risk cofactors. The statistical tests used were the odds ratio and its confidence interval and the statistical significance threshold was set at p < 0.05. Results : In univariate analysis, the co-factors statistically significantly associated with the occurrence of high-grade dysplasia were parity 0.6 (0.5 - 0.9), gestational 0.7 (0.5 - 0.9), smoking of the spouse 3.4 (1.1 - 11.3), the non-schooling 1.4 (1.2 - 2.1). In multivariate analysis after adjusting for confounding factors, two co-factors have significantly increased the risk of high-grade dysplasia: lack of schooling 1.4 (1.2 - 2.0) and polygamy 1.5 (1.4 - 2.5). Conclusion : At the end of this study, polygamy and lack of schooling were the main risk factors. The prevention of cervical cancer will go through the education of girls and women as well as communication for behavioral change and social change.
机译:简介:宫颈高度不典型增生的发生率很高,并可发展为宫颈癌。目的是研究与高度宫颈发育异常有关的辅因子。方法:这是一项回顾性病例对照研究,没有匹配项。患有高度不典型增生的女性为例,而那些筛查试验正常的女性为对照组。该研究在巴马科的加百列·图雷大学医院中心进行。我们纳入了351个案例和420个控件。使用SPSS 20软件进行捕获和分析。进行单因素和多因素logistic回归分析以分析风险辅助因子。使用的统计检验是比值比及其置信区间,并且统计显着性阈值设置为p <0.05。结果:在单因素分析中,与严重不典型增生发生率相关的统计学显着因素是胎次0.6(0.5-0.9),胎龄0.7(0.5-0.9),配偶吸烟3.4(1.1-11.3),非学历1.4(1.2-2.1)。在校正混杂因素后的多变量分析中,两个辅助因素显着增加了高度发育不良的风险:缺乏教育1.4(1.2-2.0)和一夫多妻制1.5(1.4-2.5)。结论:研究结束时,一夫多妻制和缺乏教育是主要的危险因素。宫颈癌的预防将通过对女童和妇女的教育以及行为改变和社会改变的交流来进行。

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