ovarian cancer risk factors in a defined population using rare event logistic regression
نویسندگان
چکیده
background : this study evaluated the role of family history of cancer and gynecologic factors in relation to the etiology of ovarian cancer in a low socioeconomic population in iran. methods : from 2007-2009 we conducted a screening program on women with insurance coverage provided by the imam khomeini relief foundation. a total of 26788 women participated in this study of whom 76 cases had ovarian cancer and 26712 were considered as controls. we used rare event logistic (relogit) regression analysis with a prior correction method that used the zelig package in r to obtain odds ratio estimates and confidence intervals. results : ovarian cancer was more frequent among postmenopausal than premenopausal (odds ratio: 2.30; confidence interval: 1.17-4.49) women. we observed increased risk for this disease in women with histories of hormone replacement therapy compared to those with no history (odds ratio: 2.36; confidence interval: 1.13-4.91). a greater increase in ovarian cancer was observed in women with family histories of breast (odds ratio: 2.88; confidence interval: 1.44-5.77), ovarian (odds ratio: 11.27; confidence interval: 5.63-22.54) and all cancer sites (odds ratio: 2.95; confidence interval: 1.71-5.08). however, the use of oral contraceptive pills was significantly associated with lower risk for ovarian cancer (odds ratio: 0.47; confidence interval: 0.28-0.79). there was no association between ovarian cancer and age, marital status, occupation, education level, age at menarche, age at first pregnancy and number of pregnancies. conclusion : ovarian cancer was considered a rare event. thus we deemed it necessary to explore the associated risk factors using relogit with a prior correction method. the risk factors for ovarian cancer were menopause, history of hormone replacement therapy and family history of cancer of the breast, ovaries and other sites. oral use of contraceptive pills showed a protective effect on risk for ovarian cancer.
منابع مشابه
Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
PURPOSE This study aimed to determine out risk factors for female breast cancer in a low socioeconomic population in Iran. METHODS Between 2007 and 2009, a total of 25,592 women who were ensured by the Imam Khomeini Relief Foundation participated in this screening program. The characteristics of patients diagnosed with breast cancer (n=111) were compared with those of control cases (n=25,481)...
متن کاملModeling the Risk factors of hypertension in 35-65 years old individuals using logistic regression
Introduction Hypertension is a common cause of cardiovascular disease in the world. Therefore identification of risk factors for hypertension is essential to carry out preventive masseurs. So this study was done with the aim of using logistic regression model to determine and assess the risk factors of hypertension, in Mashhad. Materials & Methods This Cross sectional study was carried out us...
متن کاملComparison of ordinary logistic regression and robust logistic regression models in modeling of pre-diabetes risk factors
Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors. Methods: This is a cross-sectional study and conducted on 6460 people, over ...
متن کاملRisk factors for mortality after bereavement: a logistic regression analysis.
A national sample of elderly widowed people was followed up for six years. Excess mortality was found for men aged 75 years and over in the first six months of bereavement compared with men of the same age in the general population. Logistic regression analysis, controlling for age and sex together, demonstrated that the best independent predictors of mortality among the elderly widowed were: i...
متن کاملLogistic Regression in Rare Events Data 1
Rare events are binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros (\nonevents"). In many literatures, rare events have proven di cult to explain and predict, a problem that seems to have at least two sources. First, popular statistical procedures, such as logistic regressi...
متن کاملLogistic Regression in Rare Events Data
We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros (“nonevents”). In many literatures, these variables have proven difficult to explain and predict, a problem that seems to have at least two sources. First, popular statistical procedures, such as ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
middle east journal of cancerجلد ۶، شماره ۱، صفحات ۱-۰
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023