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促进社区参与改善乳腺癌预防的参与式研究:P.I.N.K. 研究框架。

Promote Community Engagement in Participatory Research for Improving Breast Cancer Prevention: The P.I.N.K. Study Framework.

作者信息

Franchini Michela, Pieroni Stefania, Denoth Francesca, Scalese Urciuoli Marco, Colasante Emanuela, Salvatori Massimiliano, Anastasi Giada, Frontignano Cinzia Katia, Dogliotti Elena, Vidali Sofia, Montrucchio Edgardo, Molinaro Sabrina, Susini Tommaso, Nori Cucchiari Jacopo

机构信息

Institute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.

Senologica Srl, 19124 La Spezia, Italy.

出版信息

Cancers (Basel). 2022 Nov 25;14(23):5801. doi: 10.3390/cancers14235801.

Abstract

Breast cancer (BC) has overtaken lung cancer as the most common cancer in the world and the projected incidence rates show a further increase. Early detection through population screening remains the cornerstone of BC control, but a progressive change from early diagnosis only-based to a personalized preventive and risk-reducing approach is widely debated. Risk-stratification models, which also include personal lifestyle risk factors, are under evaluation, although the documentation burden to gather population-based data is relevant and traditional data collection methods show some limitations. This paper provides the preliminary results from the analysis of clinical data provided by radiologists and lifestyle data collected using self-administered questionnaires from 5601 post-menopausal women. The weight of the combinations of women's personal features and lifestyle habits on the BC risk were estimated by combining a model-driven and a data-driven approach to analysis. The weight of each factor on cancer occurrence was assessed using a logistic model. Additionally, communities of women sharing common features were identified and combined in risk profiles using social network analysis techniques. Our results suggest that preventive programs focused on increasing physical activity should be widely promoted, in particular among the oldest women. Additionally, current findings suggest that pregnancy, breast-feeding, salt limitation, and oral contraception use could have different effects on cancer risk, based on the overall woman's risk profile. To overcome the limitations of our data, this work also introduces a mobile health tool, the Dress-PINK, designed to collect real patients' data in an innovative way for improving women's response rate, data accuracy, and completeness as well as the timeliness of data availability. Finally, the tool provides tailored prevention messages to promote critical consciousness, critical thinking, and increased health literacy among the general population.

摘要

乳腺癌(BC)已超过肺癌成为全球最常见的癌症,而且预计发病率还会进一步上升。通过人群筛查进行早期检测仍然是乳腺癌控制的基石,但从仅基于早期诊断向个性化预防和降低风险方法的逐步转变引发了广泛讨论。风险分层模型也纳入了个人生活方式风险因素,目前正在评估中,尽管收集基于人群数据的文档负担较大,且传统数据收集方法存在一些局限性。本文提供了对5601名绝经后女性由放射科医生提供的临床数据以及使用自填问卷收集的生活方式数据进行分析的初步结果。通过结合模型驱动和数据驱动的分析方法,估计了女性个人特征和生活习惯组合对乳腺癌风险的影响权重。使用逻辑模型评估每个因素对癌症发生的影响权重。此外,识别出具有共同特征的女性群体,并使用社会网络分析技术将其组合成风险概况。我们的结果表明,应广泛推广侧重于增加体育活动的预防计划,尤其是在年龄较大的女性中。此外,目前的研究结果表明,根据女性的整体风险概况,怀孕、母乳喂养、限制盐摄入和使用口服避孕药可能对癌症风险产生不同影响。为克服我们数据的局限性,这项工作还引入了一种移动健康工具Dress-PINK,旨在以创新方式收集真实患者的数据,以提高女性的回应率、数据准确性和完整性以及数据可用性的及时性。最后,该工具提供量身定制的预防信息,以提高普通人群的关键意识、批判性思维和健康素养。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2795/9736257/d5c7107b2485/cancers-14-05801-g001.jpg

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