25-65岁妇女患乳腺癌的特殊因素比例

Bina Melvia Girsang
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引用次数: 0

摘要

女性做乳腺癌的早期检测可以说还是有一点的。虽然乳房检查的重要性从早期开始就是为了了解女性的乳房在正常情况下是否正常。本研究旨在通过病例对照设计的观察分析方法,确定25-65岁女性乳腺癌发病风险的几个特定因素的比例。采用概率抽样和简单随机抽样技术进行抽样。2017年5月至9月,在南苏门答腊 -巨港街道Gandus和Dempo工作区域,病例组为23名妇女,对照组为46名妇女。筛选资料采用问卷调查收集,采用卡方检验和fisher精确统计检验进行双变量分析,继续采用多元逻辑回归统计检验进行多变量分析。根据双变量分析的结果发现,在15个相关因素中,有7个特定的危险因素与乳腺癌的发生有关(p值<0.05)。7个特定危险因素为年龄(OR: 0.6, 95% CI: 0.53-0.79)、首次月经(OR: 24;95% CI: 2.76-207.98),肿瘤史(OR: 3.2, 95% CI: 2.28-4.75),长时间母乳喂养(OR: 95% CI: 2.23-4.54),食用高脂肪食物(OR: 0.2;95% CI: 0.07-1.00)、激素避孕药的种类(p值< 0.05)。多因素logistic回归分析的结果发现,月经年龄是一个人被检测出乳腺癌危险的具体因素(p值0.05 ~ 0.55)是非常重要的,因为大多数女性没有意识到乳腺癌的症状和危险因素难以处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proportion of Specific Factors Risk of Breast Cancer on Women Age 25-65 Years
Women who do early detection of breast cancer can be said to be still a little. Though the importance of breast examination since early is to know a woman's breasts under normal circumstances or not. This study aims to determine the proportion of several specific factors that cause the risk of breast cancer incidence in women aged 25-65 years with an observational analytic method with case control design. Sampling is done by using probability sampling with simple random sampling technique approach. The sample size was 23 women in the case group and 46 women in the control group in the working area of Gandus and Dempo, South Sumatera – Palembang sub-districts from May to September 2017. Screening data were collected using a questionnaire and analyzed by bivariate analysis using chi square and fisher's exact statistical tests, continued with multivariate analysis using multiple logistic regression statistic test. Based on the results of bivariate analysis found that there are 7 specific risk factors from the overall 15 related factors (p value <0.05) with risk factors for breast cancer incidence. The seven specific risk factors were age (OR: 0.6, 95% CI: 0.53-0.79), first menstrual period (OR: 24; 95% CI: 2.76-207.98), history of tumor (OR: 3.2, 95% CI: 2.28-4.75), long breastfeeding (OR : 95% CI: 2.23-4.54), consumption of fatty foods (OR: 0.2; 95% CI: 0.07-1.00), types of hormonal contraceptives (p value <0 , 05). The result of multivariate analysis with multiple logistic regression was found that menstrual age was the specific factor of a person detected at risk of breast cancer (p value 0.05-0.55) is very important because most women are not aware of breast cancer symptoms and risk factors that are difficult to handle.
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