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Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India

OBJECTIVE: Amritsar, the second largest town of agrarian state of Punjab, India reports high number of breast cancer cases every year. The present study investigated the etiology of breast cancer using various obesity indices and other epidemiological factors among breast cancer patients residing in...

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Autores principales: Kour, Akeen, Sharma, Sarika, Sambyal, Vasudha, Guleria, Kamlesh, Singh, Neeti Rajan, Uppal, Manjit Singh, Manjari, Mridu, Sudan, Meena, Kukreja, Sahiba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062992/
https://www.ncbi.nlm.nih.gov/pubmed/31759352
http://dx.doi.org/10.31557/APJCP.2019.20.11.3299
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author Kour, Akeen
Sharma, Sarika
Sambyal, Vasudha
Guleria, Kamlesh
Singh, Neeti Rajan
Uppal, Manjit Singh
Manjari, Mridu
Sudan, Meena
Kukreja, Sahiba
author_facet Kour, Akeen
Sharma, Sarika
Sambyal, Vasudha
Guleria, Kamlesh
Singh, Neeti Rajan
Uppal, Manjit Singh
Manjari, Mridu
Sudan, Meena
Kukreja, Sahiba
author_sort Kour, Akeen
collection PubMed
description OBJECTIVE: Amritsar, the second largest town of agrarian state of Punjab, India reports high number of breast cancer cases every year. The present study investigated the etiology of breast cancer using various obesity indices and other epidemiological factors among breast cancer patients residing in and around Amritsar city. METHODS: In this case control study, risk factors for breast cancer were analyzed in 542 female subjects: 271 females with breast cancer patients and 271 unrelated healthy females matched for age as control females. RESULTS: Bivariate analysis for risk factors in cases and controls showed a lower risk (OR=0.65, 95% CI 0.43-0.99, p=0.04) in obese cases with BMI≥25kg/m(2) as compared to subjects with normal BMI. Risk factor analysis showed that parameter which provided risk for cancer in postmenopausal women was obesity and in premenopausal women was parity. Postmenopausal women with BMI (overweight: OR=0.39, 95% CI 0.17-0.92, p=0.03; obese: OR= 0.26, 95% CI 0.13-0.52, p=0.00), WC (OR=0.17, 95% CI 0.05-0.52, p=0.00) and WHtR (p=0.02) had highr risk. Premenopausal women with 3 or less than 3 children had a higher risk (OR=5.54, 95 % CI 2.75-11.19, p=0.00) than postmenopausal women when compared to women with more than 3 children. Binary logistic regression analysis revealed that low parity (≤3) substantially increased the risk for breast cancer (OR=4.80, 95% CI 2.34-9.85, p=0.00) in premenopausal women. CONCLUSION: Obesity, parity associated breast cancer risk and reduced breastfeeding cumulatively predispose the premenopausal women of this region to higher risk of breast cancer.
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spelling pubmed-70629922020-03-17 Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India Kour, Akeen Sharma, Sarika Sambyal, Vasudha Guleria, Kamlesh Singh, Neeti Rajan Uppal, Manjit Singh Manjari, Mridu Sudan, Meena Kukreja, Sahiba Asian Pac J Cancer Prev Research Article OBJECTIVE: Amritsar, the second largest town of agrarian state of Punjab, India reports high number of breast cancer cases every year. The present study investigated the etiology of breast cancer using various obesity indices and other epidemiological factors among breast cancer patients residing in and around Amritsar city. METHODS: In this case control study, risk factors for breast cancer were analyzed in 542 female subjects: 271 females with breast cancer patients and 271 unrelated healthy females matched for age as control females. RESULTS: Bivariate analysis for risk factors in cases and controls showed a lower risk (OR=0.65, 95% CI 0.43-0.99, p=0.04) in obese cases with BMI≥25kg/m(2) as compared to subjects with normal BMI. Risk factor analysis showed that parameter which provided risk for cancer in postmenopausal women was obesity and in premenopausal women was parity. Postmenopausal women with BMI (overweight: OR=0.39, 95% CI 0.17-0.92, p=0.03; obese: OR= 0.26, 95% CI 0.13-0.52, p=0.00), WC (OR=0.17, 95% CI 0.05-0.52, p=0.00) and WHtR (p=0.02) had highr risk. Premenopausal women with 3 or less than 3 children had a higher risk (OR=5.54, 95 % CI 2.75-11.19, p=0.00) than postmenopausal women when compared to women with more than 3 children. Binary logistic regression analysis revealed that low parity (≤3) substantially increased the risk for breast cancer (OR=4.80, 95% CI 2.34-9.85, p=0.00) in premenopausal women. CONCLUSION: Obesity, parity associated breast cancer risk and reduced breastfeeding cumulatively predispose the premenopausal women of this region to higher risk of breast cancer. West Asia Organization for Cancer Prevention 2019 /pmc/articles/PMC7062992/ /pubmed/31759352 http://dx.doi.org/10.31557/APJCP.2019.20.11.3299 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kour, Akeen
Sharma, Sarika
Sambyal, Vasudha
Guleria, Kamlesh
Singh, Neeti Rajan
Uppal, Manjit Singh
Manjari, Mridu
Sudan, Meena
Kukreja, Sahiba
Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title_full Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title_fullStr Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title_full_unstemmed Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title_short Risk Factor Analysis for Breast Cancer in Premenopausal and Postmenopausal Women of Punjab, India
title_sort risk factor analysis for breast cancer in premenopausal and postmenopausal women of punjab, india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062992/
https://www.ncbi.nlm.nih.gov/pubmed/31759352
http://dx.doi.org/10.31557/APJCP.2019.20.11.3299
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