本文選題：女性 + 乳腺癌�。� 參考：《河北大學(xué)》2017年碩士論文

【摘要】：研究目的:本文通過對保定市女性乳腺癌危險因素的研究,旨在探索保定市女性乳腺癌的相關(guān)危險因素,并通過對未絕經(jīng)與絕經(jīng)的分層分析,進(jìn)一步了解絕經(jīng)前與絕經(jīng)后乳腺癌危險因素有無不同,為進(jìn)一步采取有針對性的預(yù)防措施、降低本地區(qū)女性乳腺癌的發(fā)病率提供基礎(chǔ)信息,也為將來建立符合本地區(qū)的乳腺癌風(fēng)險評估和預(yù)測模型提供理論依據(jù)。研究方法:本研究采用以醫(yī)院為基礎(chǔ)的病例對照研究方法,選擇以2015年1月~2016年4月間來某三級甲等綜合性醫(yī)院治療并經(jīng)病理確診的乳腺癌的新發(fā)女性患者為病例組研究對象,選擇與病例組居住環(huán)境相近且年齡上下不超過2歲的病例的親戚或朋友并排除乳腺癌者為對照組。使用統(tǒng)一的調(diào)查表,由經(jīng)過培訓(xùn)的調(diào)查員,采用面訪的方式分別對261例病例和261例對照進(jìn)行了調(diào)查。數(shù)據(jù)分析使用SPSS20.0軟件,對自設(shè)的可能影響乳腺癌的危險因素進(jìn)行了單因素Logistic回歸分析,有統(tǒng)計學(xué)意義的,采用Forward:wald方法就行了多因素Logistic回歸分析,變量進(jìn)入方程的概率為0.05,退出方程的概率為0.10,對分類變量選擇指示符方式,以第一個作為參考類別;以是否絕經(jīng)為分層變量,進(jìn)行了未絕經(jīng)與絕經(jīng)的單因素與多因素Logistic回歸分析。研究結(jié)果:1.未分層資料的均衡性檢驗?zāi)挲g均衡性檢驗乳腺癌病例組261人,年齡在20~80歲之間,平均年齡((?)±s)為45.49±13.66歲;對照組261例,年齡在19~80歲之間,平均年齡((?)±s)為46.30±13.14歲。方差不齊,經(jīng)t'檢驗,t'=0.689,P=0.491,兩組年齡間差異無統(tǒng)計學(xué)意義。居住地均衡性檢驗X~2=0.000,P=1.000,差異無統(tǒng)計學(xué)意義。2.分層資料的均衡性檢驗?zāi)挲g均衡性檢驗未絕經(jīng)的乳腺癌病例組198例,年齡在20~68歲之間,平均年齡((?)±s)為39.98±10.41歲;對照組177例,年齡在19~55歲之間,平均年齡((?)±s)為39.25±7.83歲,方差不齊,經(jīng)t'檢驗,t'=0.767,P=0.443,兩組年齡間差異不具有統(tǒng)計學(xué)意義。絕經(jīng)的乳腺癌病例組63例,年齡50~80歲,平均年齡((?)±s)為62.79±6.05歲;對照組84例,年齡46~80歲,平均年齡((?)±s)為61.13±9.06歲,方差不齊,經(jīng)t'檢驗,t'=1.332,P=0.185,兩組年齡間差異無統(tǒng)計學(xué)意義。居住地的均衡性檢驗未絕經(jīng)組X~2=1.215,P=0.545,兩組長期居住地間差異無統(tǒng)計學(xué)意義;絕經(jīng)組X~2=2.037,P=0.361,兩組長期居住地間差異無統(tǒng)計學(xué)意義。3.未分層女性乳腺癌的危險因素分析多因素Logistic回歸分析顯示:曾患乳腺炎(OR=5.215)、體質(zhì)指數(shù)高(OR=4.673)、職業(yè)中其他相對于農(nóng)民(OR=4.326)、月經(jīng)初潮年齡晚(OR=3.295)、經(jīng)常情緒不佳(OR=2.926)、職業(yè)中干部相對于農(nóng)民(OR=2.774)、常用化妝品(OR=2.030)和流產(chǎn)次數(shù)多(OR=1.832)是保定市女性乳腺癌的危險因素;絕經(jīng)(OR=0.117)、常吃水果(OR=0.224)、飲酒(OR=0.449)和雌激素暴露時間長(OR=0.889)是保定市女性乳腺癌的保護因素。4.分層未絕經(jīng)女性乳腺癌的危險因素分析多因素Logistic回歸分析顯示:職業(yè)中學(xué)生相對于農(nóng)民(OR=14.564)、月經(jīng)初潮年齡晚(OR=9.974)、體質(zhì)指數(shù)高(OR=7.620)、流產(chǎn)次數(shù)多(OR=3.787)、職業(yè)中干部相對于農(nóng)民(OR=3.372)是保定市未絕經(jīng)女性乳腺癌的危險因素;每月性生活次數(shù)多(OR=0.091)和常吃水果(OR=0.136)是保定市未絕經(jīng)女性乳腺癌的保護因素。5.分層絕經(jīng)女性乳腺癌的危險因素分析多因素Logistic回歸分析顯示:常飲茶(OR=4.067)、曾患乳腺炎(OR=2.964)、月經(jīng)初潮年齡晚(OR=2.580)和每月性生活次數(shù)多(OR=1.909)是保定市絕經(jīng)女性乳腺癌的危險因素;曾口服避孕藥(OR=0.052)是保定市絕經(jīng)組女性乳腺癌的保護因素。研究結(jié)論:1.保定市女性經(jīng)絕前后乳腺癌危險因素不盡相同;2.保定市女性乳腺癌的主要危險因素為曾患乳腺炎、體質(zhì)指數(shù)高、月經(jīng)初潮年齡晚、流產(chǎn)次數(shù)多;常吃水果為主要保護因素。3.通過加強體育鍛煉降低體重、減少意外懷孕流產(chǎn),增大水果攝入量將有助于降低保定市女性乳腺癌發(fā)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.

【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R737.9

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