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Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China

BACKGROUND: Mammographic density (MD) is a strong risk factor for breast cancer. We aimed to evaluate the association between MD and breast cancer related risk factors among average-risk women in rural China. METHODS: This is a population-based screening study. 12518 women aged 45–64 years with comp...

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Autores principales: Yan, Huijiao, Ren, Wenhui, Jia, Mengmeng, Xue, Peng, Li, Zhifang, Zhang, Shaokai, He, Lichun, Qiao, Youlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561452/
https://www.ncbi.nlm.nih.gov/pubmed/37814233
http://dx.doi.org/10.1186/s12885-023-11444-7
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author Yan, Huijiao
Ren, Wenhui
Jia, Mengmeng
Xue, Peng
Li, Zhifang
Zhang, Shaokai
He, Lichun
Qiao, Youlin
author_facet Yan, Huijiao
Ren, Wenhui
Jia, Mengmeng
Xue, Peng
Li, Zhifang
Zhang, Shaokai
He, Lichun
Qiao, Youlin
author_sort Yan, Huijiao
collection PubMed
description BACKGROUND: Mammographic density (MD) is a strong risk factor for breast cancer. We aimed to evaluate the association between MD and breast cancer related risk factors among average-risk women in rural China. METHODS: This is a population-based screening study. 12518 women aged 45–64 years with complete MD data from three maternal and childcare hospitals in China were included in the final analysis. ORs and 95%CIs were estimated using generalized logit model by comparing each higher MD (BI-RADS b, c, d) to the lowest group (BI-RADS a). The cumulative logistic regression model was used to estimate the OR(trend) (95%CI) and P(trend) by treating MD as an ordinal variable. RESULTS: Older age (OR(trend) = 0.81, 95%CI: 0.79–0.81, per 2-year increase), higher BMI (OR(trend) = 0.73, 95%CI: 0.71–0.75, per 2 kg/m2), more births (OR(trend) = 0.47, 95%CI: 0.41–0.54, 3 + vs. 0–1), postmenopausal status (OR(trend) = 0.42, 95%CI: 0.38–0.46) were associated with lower MD. For parous women, longer duration of breastfeeding was found to be associated with higher MD when adjusting for study site, age, BMI, and age of first full-term birth (OR(trend) = 1.53, 95%CI: 1.27–1.85, 25 + months vs. no breastfeeding; OR(trend) = 1.45, 95%CI: 1.20–1.75, 19–24 months vs. no breastfeeding), however, the association became non-significant when adjusting all covariates. Associations between examined risk factors and MD were similar in premenopausal and postmenopausal women except for level of education and oral hormone drug usage. Higher education was only found to be associated with an increased proportion of dense breasts in postmenopausal women (OR(trend) = 1.08, 95%CI: 1.02–1.15). Premenopausal women who ever used oral hormone drug were less likely to have dense breasts, though the difference was marginally significant (OR = 0.54, P = 0.045). In postmenopausal women, we also found the proportion of dense breasts increased with age at menopause (OR(trend) = 1.31, 95%CI: 1.21–1.43). CONCLUSIONS: In Chinese women with average risk for breast cancer, we found MD was associated with age, BMI, menopausal status, lactation, and age at menopausal. This finding may help to understand the etiology of breast cancer and have implications for breast cancer prevention in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11444-7.
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spelling pubmed-105614522023-10-10 Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China Yan, Huijiao Ren, Wenhui Jia, Mengmeng Xue, Peng Li, Zhifang Zhang, Shaokai He, Lichun Qiao, Youlin BMC Cancer Research BACKGROUND: Mammographic density (MD) is a strong risk factor for breast cancer. We aimed to evaluate the association between MD and breast cancer related risk factors among average-risk women in rural China. METHODS: This is a population-based screening study. 12518 women aged 45–64 years with complete MD data from three maternal and childcare hospitals in China were included in the final analysis. ORs and 95%CIs were estimated using generalized logit model by comparing each higher MD (BI-RADS b, c, d) to the lowest group (BI-RADS a). The cumulative logistic regression model was used to estimate the OR(trend) (95%CI) and P(trend) by treating MD as an ordinal variable. RESULTS: Older age (OR(trend) = 0.81, 95%CI: 0.79–0.81, per 2-year increase), higher BMI (OR(trend) = 0.73, 95%CI: 0.71–0.75, per 2 kg/m2), more births (OR(trend) = 0.47, 95%CI: 0.41–0.54, 3 + vs. 0–1), postmenopausal status (OR(trend) = 0.42, 95%CI: 0.38–0.46) were associated with lower MD. For parous women, longer duration of breastfeeding was found to be associated with higher MD when adjusting for study site, age, BMI, and age of first full-term birth (OR(trend) = 1.53, 95%CI: 1.27–1.85, 25 + months vs. no breastfeeding; OR(trend) = 1.45, 95%CI: 1.20–1.75, 19–24 months vs. no breastfeeding), however, the association became non-significant when adjusting all covariates. Associations between examined risk factors and MD were similar in premenopausal and postmenopausal women except for level of education and oral hormone drug usage. Higher education was only found to be associated with an increased proportion of dense breasts in postmenopausal women (OR(trend) = 1.08, 95%CI: 1.02–1.15). Premenopausal women who ever used oral hormone drug were less likely to have dense breasts, though the difference was marginally significant (OR = 0.54, P = 0.045). In postmenopausal women, we also found the proportion of dense breasts increased with age at menopause (OR(trend) = 1.31, 95%CI: 1.21–1.43). CONCLUSIONS: In Chinese women with average risk for breast cancer, we found MD was associated with age, BMI, menopausal status, lactation, and age at menopausal. This finding may help to understand the etiology of breast cancer and have implications for breast cancer prevention in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11444-7. BioMed Central 2023-10-09 /pmc/articles/PMC10561452/ /pubmed/37814233 http://dx.doi.org/10.1186/s12885-023-11444-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yan, Huijiao
Ren, Wenhui
Jia, Mengmeng
Xue, Peng
Li, Zhifang
Zhang, Shaokai
He, Lichun
Qiao, Youlin
Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title_full Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title_fullStr Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title_full_unstemmed Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title_short Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China
title_sort breast cancer risk factors and mammographic density among 12518 average-risk women in rural china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561452/
https://www.ncbi.nlm.nih.gov/pubmed/37814233
http://dx.doi.org/10.1186/s12885-023-11444-7
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