保定市女性乳腺癌危险因素分析

发布时间：2018-05-08 05:39

本文选题：女性 + 乳腺癌　；参考：《河北大学》2017年硕士论文

【摘要】：研究目的:本文通过对保定市女性乳腺癌危险因素的研究,旨在探索保定市女性乳腺癌的相关危险因素,并通过对未绝经与绝经的分层分析,进一步了解绝经前与绝经后乳腺癌危险因素有无不同,为进一步采取有针对性的预防措施、降低本地区女性乳腺癌的发病率提供基础信息,也为将来建立符合本地区的乳腺癌风险评估和预测模型提供理论依据。研究方法:本研究采用以医院为基础的病例对照研究方法,选择以2015年1月~2016年4月间来某三级甲等综合性医院治疗并经病理确诊的乳腺癌的新发女性患者为病例组研究对象,选择与病例组居住环境相近且年龄上下不超过2岁的病例的亲戚或朋友并排除乳腺癌者为对照组。使用统一的调查表,由经过培训的调查员,采用面访的方式分别对261例病例和261例对照进行了调查。数据分析使用SPSS20.0软件,对自设的可能影响乳腺癌的危险因素进行了单因素Logistic回归分析,有统计学意义的,采用Forward:wald方法就行了多因素Logistic回归分析,变量进入方程的概率为0.05,退出方程的概率为0.10,对分类变量选择指示符方式,以第一个作为参考类别;以是否绝经为分层变量,进行了未绝经与绝经的单因素与多因素Logistic回归分析。研究结果:1.未分层资料的均衡性检验年龄均衡性检验乳腺癌病例组261人,年龄在20~80岁之间,平均年龄((?)±s)为45.49±13.66岁;对照组261例,年龄在19~80岁之间,平均年龄((?)±s)为46.30±13.14岁。方差不齐,经t'检验,t'=0.689,P=0.491,两组年龄间差异无统计学意义。居住地均衡性检验X~2=0.000,P=1.000,差异无统计学意义。2.分层资料的均衡性检验年龄均衡性检验未绝经的乳腺癌病例组198例,年龄在20~68岁之间,平均年龄((?)±s)为39.98±10.41岁;对照组177例,年龄在19~55岁之间,平均年龄((?)±s)为39.25±7.83岁,方差不齐,经t'检验,t'=0.767,P=0.443,两组年龄间差异不具有统计学意义。绝经的乳腺癌病例组63例,年龄50~80岁,平均年龄((?)±s)为62.79±6.05岁;对照组84例,年龄46~80岁,平均年龄((?)±s)为61.13±9.06岁,方差不齐,经t'检验,t'=1.332,P=0.185,两组年龄间差异无统计学意义。居住地的均衡性检验未绝经组X~2=1.215,P=0.545,两组长期居住地间差异无统计学意义;绝经组X~2=2.037,P=0.361,两组长期居住地间差异无统计学意义。3.未分层女性乳腺癌的危险因素分析多因素Logistic回归分析显示:曾患乳腺炎(OR=5.215)、体质指数高(OR=4.673)、职业中其他相对于农民(OR=4.326)、月经初潮年龄晚(OR=3.295)、经常情绪不佳(OR=2.926)、职业中干部相对于农民(OR=2.774)、常用化妆品(OR=2.030)和流产次数多(OR=1.832)是保定市女性乳腺癌的危险因素;绝经(OR=0.117)、常吃水果(OR=0.224)、饮酒(OR=0.449)和雌激素暴露时间长(OR=0.889)是保定市女性乳腺癌的保护因素。4.分层未绝经女性乳腺癌的危险因素分析多因素Logistic回归分析显示:职业中学生相对于农民(OR=14.564)、月经初潮年龄晚(OR=9.974)、体质指数高(OR=7.620)、流产次数多(OR=3.787)、职业中干部相对于农民(OR=3.372)是保定市未绝经女性乳腺癌的危险因素;每月性生活次数多(OR=0.091)和常吃水果(OR=0.136)是保定市未绝经女性乳腺癌的保护因素。5.分层绝经女性乳腺癌的危险因素分析多因素Logistic回归分析显示:常饮茶(OR=4.067)、曾患乳腺炎(OR=2.964)、月经初潮年龄晚(OR=2.580)和每月性生活次数多(OR=1.909)是保定市绝经女性乳腺癌的危险因素;曾口服避孕药(OR=0.052)是保定市绝经组女性乳腺癌的保护因素。研究结论:1.保定市女性经绝前后乳腺癌危险因素不尽相同;2.保定市女性乳腺癌的主要危险因素为曾患乳腺炎、体质指数高、月经初潮年龄晚、流产次数多;常吃水果为主要保护因素。3.通过加强体育锻炼降低体重、减少意外怀孕流产,增大水果摄入量将有助于降低保定市女性乳腺癌发病率。
[Abstract]:Objective: through the study of the risk factors of female breast cancer in Baoding, this paper aims to explore the related risk factors of female breast cancer in Baoding, and to further understand the risk factors of breast cancer before and after menopause by stratified analysis of menopause and menopause, and to take further preventive measures to reduce the risk factors of breast cancer. The basic information is provided for the incidence of female breast cancer in the low area, and the theoretical basis for establishing the risk assessment and prediction model of breast cancer in the region is provided in the future. The new female patients with breast cancer confirmed by pathology were selected as the subjects of the case group. They chose relatives or friends who were not more than 2 years old and close to the case group and excluded breast cancer as the control group. A unified questionnaire was used by the trained investigators, and 261 cases were treated with interviews, respectively. 261 cases were investigated. Data analysis used SPSS20.0 software to analyze the risk factors that may affect breast cancer by single factor Logistic regression analysis. Statistically significant, the Forward:wald method was used for multiple factor Logistic regression analysis, the probability of variable entry equation was 0.05, and the probability of exit equation was 0.10, The first as a reference category for the selection of classified variables, the single factor and multi factor Logistic regression analysis of the menopause and the menopause were carried out with the menopause as a stratified variable. 1. the results of the study were: the balance test of the balance test of the non stratified data was 261 in the breast cancer case group, the average age was between the age of 20~80 and the average year. Age ((?) + s) was 45.49 + 13.66 years, 261 cases in the control group, age of 19~80 years, average age ((?) + s) was 46.30 + 13.14 years old. Variance was not homogeneous, t'test, t'=0.689, P=0.491, two groups of age differences no statistical significance. Residence equilibrium test X~2= 0, P=1.000, the difference is not statistically significant.2. stratification data of.2. stratification test age are all age Balance test of 198 cases of breast cancer case group, age between 20~68 years, average age (?) + s) 39.98 + 10.41 years, 177 cases in the control group, age between 19~55 years, average age ((?) + s) is 39.25 + 7.83 years old, variance is not homogeneous, t'test, t'= 0.767, P=0.443, two groups of age differences do not have statistical significance. Menopause breast cancer In the group of 63 cases, the age was 50~80 years, the average age ((?) + s) was 62.79 + 6.05 years, the control group was 84 cases, age 46~80 years, the average age ((?) + s) was 61.13 + 9.06 years old, the variance was not homogeneous. The t'test, t'=1.332, P=0.185, two groups of age differences were not statistically significant. The equilibrium test of the residence of the non postmenopausal group X~2=1.215, P=0.545, two groups of long-term residence difference. No statistical significance was found in the X~2=2.037, P=0.361, two groups of the menopause group, and there was no statistical significance between the two groups of long term residences. Multiple factor Logistic regression analysis showed that they had mastitis (OR=5.215), high body mass index (OR=4.673), other relative to farmers (OR=4.326), and late menstrual menarche (OR=). 3.295), regular mood (OR=2.926), professional cadres relative to farmers (OR=2.774), common cosmetics (OR=2.030) and more abortions (OR=1.832) are risk factors for female breast cancer in Baoding; OR=0.117, OR=0.224, OR=0.449 and long exposure to estrogen (OR=0.889) are the protection of women's breast cancer in Baoding. Risk factors of.4. stratified non menopause female breast cancer analysis: multiple factor Logistic regression analysis showed that vocational middle school students were relative to farmers (OR=14.564), the age of menarche was late (OR=9.974), the body mass index was higher (OR=7.620), the number of abortion was more (OR=3.787), and the cadres in Vocational Education (OR=3.372) were the non menopausal women's mammary glands in Baoding. Risk factors of cancer, multiple times of daily life (OR=0.091) and regular eating fruit (OR=0.136) are the risk factors for the protection of breast cancer in Baoding without menopause female breast cancer. Analysis of multiple factor Logistic regression analysis of multiple factor Logistic regression analysis showed: often drinking tea (OR=4.067), OR=2.964, OR=2.580 and every period of menarche (OR=2.580) and each OR=1.909 is a risk factor for menopause female breast cancer in Baoding, and the previous oral contraceptive (OR=0.052) is a protective factor for female breast cancer in the menopause group in Baoding. 1. the risk factors of breast cancer in women in Baoding are not the same; 2. the main risk factor for female breast cancer in Baoding is the breast cancer. Inflammation, high body mass index, late menarche age, more abortion times, often eating fruit as the main protective factor.3. through strengthening physical exercise to reduce weight, reduce accidental pregnancy abortion, increasing fruit intake will help to reduce the incidence of female breast cancer in Baoding.

【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R737.9

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