Literature DB >> 26075657

Influence of factors on mammographic density in premenopausal Chinese women.

Yaping Yang1, Jieqiong Liu, Ran Gu, Yue Hu, Fengtao Liu, Miaomiao Yun, Qiaozhen Xiao, Mei Wu, Qiang Liu, Fengxi Su.   

Abstract

Mammographic density is an independent strong risk factor for breast cancer. However, the influence of factors on mammographic density in premenopausal women remains unclear. In the Southern Professional Women Breast Cancer Screening Project, we assessed the associations between mammographic density and its influential factors using multivariate logistic regression in premenopausal women adjusting for BMI, age, duration of breastfeeding, number of live births, and breast size. A total of 1699 premenopausal women aged 27 to 57 years, who had been screened by mammography, were enrolled in this cross-sectional study. Overall, 85.2% were categorized as having dense breasts (BI-RADS density 3 and 4) and 14.8% as having fatty breasts (BI-RADS density 1 and 2). In multivariate and logistic regression analysis, only BMI and age were significantly negatively correlated with mammographic density in premenopausal women (P<0.001). No significant associations between mammographic density and number of deliveries, breastfeeding duration, education level, family history of breast cancer, as well as breast size and sleep quality, were identified in the study. Age and BMI are negatively associated with mammographic density in premenopausal Chinese women. Information on the influential factors of mammographic density in premenopausal women might provide meaningful insights into breast cancer prevention.

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Year:  2016        PMID: 26075657     DOI: 10.1097/CEJ.0000000000000177

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  11 in total

Review 1.  Breastfeeding and breast cancer risk by receptor status--a systematic review and meta-analysis.

Authors:  F Islami; Y Liu; A Jemal; J Zhou; E Weiderpass; G Colditz; P Boffetta; M Weiss
Journal:  Ann Oncol       Date:  2015-10-26       Impact factor: 32.976

2.  Association of mammographic density and benign breast calcifications individually or combined with hypertension, diabetes, and hypercholesterolemia in women ≥40 years of age: a retrospective study.

Authors:  Maha Al-Mohaissen; Arwa Alkhedeiri; Ohoud Al-Madani; Terry Lee; Anas Hamdoun; Mohammad Al-Harbi
Journal:  J Investig Med       Date:  2022-02-21       Impact factor: 3.235

3.  Factors Influencing Mammographic Density in Asian Women: A Retrospective Cohort Study in the Northeast Region of Peninsular Malaysia.

Authors:  Tengku Muhammad Hanis; Wan Nor Arifin; Juhara Haron; Wan Faiziah Wan Abdul Rahman; Nur Intan Raihana Ruhaiyem; Rosni Abdullah; Kamarul Imran Musa
Journal:  Diagnostics (Basel)       Date:  2022-03-30

4.  Breast cancer risk factors and mammographic density among high-risk women in urban China.

Authors:  Hyuna Sung; Jiansong Ren; Jing Li; Min Dai; Xiaohong R Yang; Jie He; Ruth M Pfeiffer; Yong Wang; Jennifer L Guida; Yi Fang; Jufang Shi; Kai Zhang; Ni Li; Shen Wang; Luopei Wei; Nan Hu; Gretchen L Gierach
Journal:  NPJ Breast Cancer       Date:  2018-02-06

5.  Characteristics of Mammographic Breast Density and Associated Factors for Chinese Women: Results from an Automated Measurement.

Authors:  Tong Li; Lichen Tang; Ziba Gandomkar; Rob Heard; Claudia Mello-Thoms; Qin Xiao; Yajia Gu; Genhong Di; Carolyn Nickson; Zhimin Shao; Patrick Brennan
Journal:  J Oncol       Date:  2019-03-19       Impact factor: 4.375

6.  Family History of Breast Cancer and Mammographic Breast Density in Premenopausal Women.

Authors:  Yunan Han; Justin Xavier Moore; Graham A Colditz; Adetunji T Toriola
Journal:  JAMA Netw Open       Date:  2022-02-01

7.  A National Chinese Survey on Ultrasound Feature Interpretation and Risk Assessment of Breast Masses Under ACR BI-RADS.

Authors:  Wen Wen; Jingyan Liu; Junren Wang; Heng Jiang; Yulan Peng
Journal:  Cancer Manag Res       Date:  2021-12-11       Impact factor: 3.989

8.  Evaluation of the association of endometriosis and mammographic breast density, a cross-sectional study.

Authors:  Ashraf Moini; Elnaz Salari; Hadi Rashidi; Khadije Maajani; Mahboubeh Abedi; Leila Bayani; Sadaf Alipour
Journal:  BMC Womens Health       Date:  2022-03-21       Impact factor: 2.809

9.  A new nomogram for predicting the malignant diagnosis of Breast Imaging Reporting and Data System (BI-RADS) ultrasonography category 4A lesions in women with dense breast tissue in the diagnostic setting.

Authors:  Yaping Yang; Yue Hu; Shiyu Shen; Xiaofang Jiang; Ran Gu; Hongli Wang; Fengtao Liu; Jingsi Mei; Jing Liang; Haixia Jia; Qiang Liu; Chang Gong
Journal:  Quant Imaging Med Surg       Date:  2021-07

10.  Evaluation of the association between mammographic density and the risk of breast cancer using Quantra software and the BI-RADS classification.

Authors:  Jian Ming Wang; Hong Guang Zhao; Tong Tong Liu; Fei Yang Wang
Journal:  Medicine (Baltimore)       Date:  2020-11-13       Impact factor: 1.817

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