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Prospective breast cancer risk factors prediction in Saudi women

Women's health is affected by breast cancer worldwide and Saudi Arabia (SA) is no exception. Malignancy has enormous consequences for social, psychological and public health. The aim of this study was to examine the risk factors for Saudi women from breast cancer using logistic regression model...

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Detalles Bibliográficos
Autores principales: Babiker, Sawsan, Nasir, Omaima, Alotaibi, S.H., Marzogi, Alaa, Bogari, Mohammad, Alghamdi, Tahani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254039/
https://www.ncbi.nlm.nih.gov/pubmed/32489303
http://dx.doi.org/10.1016/j.sjbs.2020.02.012
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author Babiker, Sawsan
Nasir, Omaima
Alotaibi, S.H.
Marzogi, Alaa
Bogari, Mohammad
Alghamdi, Tahani
author_facet Babiker, Sawsan
Nasir, Omaima
Alotaibi, S.H.
Marzogi, Alaa
Bogari, Mohammad
Alghamdi, Tahani
author_sort Babiker, Sawsan
collection PubMed
description Women's health is affected by breast cancer worldwide and Saudi Arabia (SA) is no exception. Malignancy has enormous consequences for social, psychological and public health. The aim of this study was to examine the risk factors for Saudi women from breast cancer using logistic regression models. In 135 patient cases for different stages of breast cancer was used to study case management, 270 healthy women from King Abd Alla Medical City, Mecca, SA were taken to predict the probability of women developing breast cancer, logistic regression was analyzed taking factors such as age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index (BMI) and breast feeding. The logistic regression model showed that there are important risk factors (age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index, and breast feeding) in development of breast cancer. Fewer cases were observed in unmarried women, age ≤30, BMI ≤20. In contrast, more cases were found with women age 41–50 married, BMI > 30, a smaller number of children, not breast feeding, age of first pregnancy ≥30, menopausal status age at 46–50. Based on our data there is role of risk factors in developing breast cancer, less BMI, the increase number of children, breast feeding, which are playing as protective factor for breast cancer.
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spelling pubmed-72540392020-06-01 Prospective breast cancer risk factors prediction in Saudi women Babiker, Sawsan Nasir, Omaima Alotaibi, S.H. Marzogi, Alaa Bogari, Mohammad Alghamdi, Tahani Saudi J Biol Sci Article Women's health is affected by breast cancer worldwide and Saudi Arabia (SA) is no exception. Malignancy has enormous consequences for social, psychological and public health. The aim of this study was to examine the risk factors for Saudi women from breast cancer using logistic regression models. In 135 patient cases for different stages of breast cancer was used to study case management, 270 healthy women from King Abd Alla Medical City, Mecca, SA were taken to predict the probability of women developing breast cancer, logistic regression was analyzed taking factors such as age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index (BMI) and breast feeding. The logistic regression model showed that there are important risk factors (age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index, and breast feeding) in development of breast cancer. Fewer cases were observed in unmarried women, age ≤30, BMI ≤20. In contrast, more cases were found with women age 41–50 married, BMI > 30, a smaller number of children, not breast feeding, age of first pregnancy ≥30, menopausal status age at 46–50. Based on our data there is role of risk factors in developing breast cancer, less BMI, the increase number of children, breast feeding, which are playing as protective factor for breast cancer. Elsevier 2020-06 2020-03-02 /pmc/articles/PMC7254039/ /pubmed/32489303 http://dx.doi.org/10.1016/j.sjbs.2020.02.012 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Babiker, Sawsan
Nasir, Omaima
Alotaibi, S.H.
Marzogi, Alaa
Bogari, Mohammad
Alghamdi, Tahani
Prospective breast cancer risk factors prediction in Saudi women
title Prospective breast cancer risk factors prediction in Saudi women
title_full Prospective breast cancer risk factors prediction in Saudi women
title_fullStr Prospective breast cancer risk factors prediction in Saudi women
title_full_unstemmed Prospective breast cancer risk factors prediction in Saudi women
title_short Prospective breast cancer risk factors prediction in Saudi women
title_sort prospective breast cancer risk factors prediction in saudi women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254039/
https://www.ncbi.nlm.nih.gov/pubmed/32489303
http://dx.doi.org/10.1016/j.sjbs.2020.02.012
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