台湾乳腺癌家族史女性乳腺癌风险预测及其与生物心理社会因素的关系:基于Gail模型的调查。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Sabiah Khairi, Nur Aini, Lalu Muhammad Harmain Siswanto, Min-Huey Chung
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引用次数: 0

摘要

背景:一级亲属患乳腺癌的风险比无家族史的女性高两倍。许多研究都采用了Gail模型方法来调查不同国家的女性患乳腺癌的风险。然而,台湾有乳癌家族史的女性罹患乳癌的风险与生物心理社会因素之间的关系,目前的研究还很有限。本研究采用Gail模型,探讨台湾FHBC女性罹患乳癌的风险评分及其与生物心理社会因素的关系。方法:采用台湾生物库2008 - 2018年二次数据进行横断面研究。进行自我报告以确定生物心理社会因素。共有3060名年龄在35-70岁之间,有或没有FHBC的女性被认为符合入组条件。盖尔模型使用了6个问题,用来估计个人5年内患乳腺癌的绝对风险。得分至少为1.66%及以上的女性被归类为高风险。此外,我们使用SPSS version 27进行双变量和多变量logistic回归分析,基于Gail模型预测生物心理社会因素与乳腺癌风险之间的关系。所有分析均按年龄分层。结果:在3060名台湾女性中,罹患与未罹患FHBC组的乳癌风险评分差异有统计学意义(p =)。结论:本研究的结论是,Gail模型基于横断面数据识别出罹患乳癌风险较高的台湾女性。在这一人群中,各种生物心理社会因素与较高的风险估计有关,特别是在老年妇女中。专业人员可以通过鼓励定期筛查、积极行为和促进健康,帮助妇女认识到不可避免的风险之外的风险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting breast cancer risk and its association to biopsychosocial factors among Taiwanese women with a family history of breast cancer: an investigation based on the Gail model.

Background: First-degree relatives with breast cancer have a two-fold higher risk than women without a family history. The Gail model approach has been employed in numerous studies to investigate the risk of breast cancer among women in a variety of countries. Nevertheless, the studies investigating the correlation between the level of breast cancer risk and biopsychosocial factors among Taiwanese women with a family history of breast cancer (FHBC) are limited. By using the Gail model, we explored the breast cancer risk score and its relationship to biopsychosocial factors among Taiwanese women with FHBC.

Methods: The present study was a cross-sectional study from secondary data of the Taiwan Biobank from 2008 to 2018. Self-reports were conducted to determine biopsychosocial factors. A total of 3,060 women aged 35-70 years with and without FHBC were considered eligible for enrollment. The Gail model, which utilizes six questions, was used to estimate individual five-year absolute breast cancer risk. Women with scores at least 1.66% and above were categorized as high risk. In addition, we performed bivariate and multivariate logistic regression analysis using SPSS version 27 to predict the associations between biopsychosocial factors and the risk of breast cancer based on the Gail model. All analyses were stratified by age.

Results: Among the 3,060 Taiwanese women, there was a statistically significant difference in breast cancer risk score between the groups with and without FHBC (p = < 0.001), stratified by age, of which 574 in FHBC group (34.2%) were identified as having a high breast cancer risk based on the Gail model. Furthermore, six out of 15 biopsychosocial factors were significantly associated with breast cancer risk in women under 50 years of age, while seven factors showed significant associations in women aged 50 years and older. Logistic regression analysis identified five biopsychosocial factors as consistent and significant predictors of breast cancer risk in women aged 50 years and older, highlighting this group as particularly vulnerable.

Conclusions: This study concludes that the Gail model identifies Taiwanese women who have a higher estimated risk of breast cancer based on cross-sectional data. Various biopsychosocial factors are associated with higher risk estimates in this population particularly in older women. Professionals can assist women in recognizing risk factors beyond the inevitable risk by encouraging regular screenings, positive behavior, and health promotion.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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