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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 p...

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Autores principales: Zare, Najf, Haem, Elham, Lankarani, Kamran B., Heydari, Seyyed Taghi, Barooti, Esmat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Breast Cancer Society 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706869/
https://www.ncbi.nlm.nih.gov/pubmed/23843856
http://dx.doi.org/10.4048/jbc.2013.16.2.214
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author Zare, Najf
Haem, Elham
Lankarani, Kamran B.
Heydari, Seyyed Taghi
Barooti, Esmat
author_facet Zare, Najf
Haem, Elham
Lankarani, Kamran B.
Heydari, Seyyed Taghi
Barooti, Esmat
author_sort Zare, Najf
collection PubMed
description 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). In this study, we used relogit analysis (rare event logistic regression) with a weighting method using program Zelig. RESULTS: Of 25,592 women, 3.9/1,000 had breast cancer, from which 38 were diagnosed during screening and 73 had already been diagnosed. The mean and standard deviation of age in breast cancer patients and in healthy controls were 49.18±8.86 years and 46.65±9.40 years, respectively. The findings based on the multivariate model revealed that the past history of ovarian cancer, hormone therapy, and first relatives with breast cancer were associated with increased risk for breast cancer. However, the use of oral contraceptive pills was found to be associated with reduced risk for breast cancer. CONCLUSION: Due to the rarity of the event in the population, relogit with a weighting method was used to investigate the major risk factors for breast cancer. These factors include oral contraceptive pill use, a history of ovarian cancer of the person under study, first relatives with breast cancer and hormone therapy.
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spelling pubmed-37068692013-07-10 Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events Zare, Najf Haem, Elham Lankarani, Kamran B. Heydari, Seyyed Taghi Barooti, Esmat J Breast Cancer Original Article 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). In this study, we used relogit analysis (rare event logistic regression) with a weighting method using program Zelig. RESULTS: Of 25,592 women, 3.9/1,000 had breast cancer, from which 38 were diagnosed during screening and 73 had already been diagnosed. The mean and standard deviation of age in breast cancer patients and in healthy controls were 49.18±8.86 years and 46.65±9.40 years, respectively. The findings based on the multivariate model revealed that the past history of ovarian cancer, hormone therapy, and first relatives with breast cancer were associated with increased risk for breast cancer. However, the use of oral contraceptive pills was found to be associated with reduced risk for breast cancer. CONCLUSION: Due to the rarity of the event in the population, relogit with a weighting method was used to investigate the major risk factors for breast cancer. These factors include oral contraceptive pill use, a history of ovarian cancer of the person under study, first relatives with breast cancer and hormone therapy. Korean Breast Cancer Society 2013-06 2013-06-28 /pmc/articles/PMC3706869/ /pubmed/23843856 http://dx.doi.org/10.4048/jbc.2013.16.2.214 Text en © 2013 Korean Breast Cancer Society. All rights reserved. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zare, Najf
Haem, Elham
Lankarani, Kamran B.
Heydari, Seyyed Taghi
Barooti, Esmat
Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title_full Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title_fullStr Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title_full_unstemmed Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title_short Breast Cancer Risk Factors in a Defined Population: Weighted Logistic Regression Approach for Rare Events
title_sort breast cancer risk factors in a defined population: weighted logistic regression approach for rare events
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706869/
https://www.ncbi.nlm.nih.gov/pubmed/23843856
http://dx.doi.org/10.4048/jbc.2013.16.2.214
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