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The Rose Project: A surveillance-modeling network assessment tool to increase awareness, offer effective prevention, and enhance early detection and treatment of breast cancer.

机译：罗斯项目：一种监视建模网络评估工具，旨在提高人们的认识，提供有效的预防措施并增强乳腺癌的早期发现和治疗。

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摘要

Breast cancer is the most prevalent type of cancer in women in the United States. Many modifiable and non-modifiable risk factors play a role in the development of breast cancer. Although risk assessment tools are available for predicting the risk of breast cancer development, most focus on family history. Genetic mutations do play a role in breast cancer development, but only account for up to 10% of breast cancer diagnoses. Therefore, the purpose of this study was to develop a surveillance-modeling network assessment tool that can increase awareness, offer effective prevention, and enhance early detection and treatment of breast cancer. Participants (N = 4297) completed The Rose Form, a Surveillance-Modeling Network Assessment Tool and were categorized by risk level based on modifiable and non-modifiable risk factors. Lifestyle modification and breast and ovarian cancer surveillance recommendations were provided based on risk level. Ten years after completing The Rose Form, a Follow-Up Survey was completed by 27% of the original participants. Risk classification accuracy and application of lifestyle and surveillance recommendations were assessed. The Rose Form accurately classified participants as having a history or not having a history of breast cancer (p .05), but risk level, based on diagnosis of breast or ovarian cancer since initial participation, did not differ significantly between women classified as low, moderate, or high risk (p > .05). The Rose Project impacted lifestyle choices and screening practices in participants with 38% changing lifestyle and 52% modifying screening practices. The Rose Form was deemed a valid tool for assessing breast cancer risk with age, family history, body mass index, age at menarche, breast feeding history, age at first live birth, history of oral contraceptive and female hormone usage, and past stress level resulting in 93.1% prediction accuracy (p .05).
机译：乳腺癌是美国女性中最普遍的癌症类型。许多可改变和不可改变的危险因素在乳腺癌的发展中起作用。尽管可以使用风险评估工具来预测乳腺癌发展的风险，但大多数工具都集中在家族史上。基因突变确实在乳腺癌的发展中起作用，但仅占乳腺癌诊断的10％。因此，本研究的目的是开发一种监视模型网络评估工具，该工具可以提高认识，提供有效的预防措施并增强乳腺癌的早期发现和治疗。参与者（N = 4297）完成了“玫瑰表格”（一种监视建模网络评估工具），并根据可更改和不可更改的风险因素按风险级别进行了分类。根据风险水平，提供了生活方式改变以及乳腺癌和卵巢癌监测建议。在完成《玫瑰表格》的十年后，有27％的原始参与者完成了后续调查。评估风险分类的准确性以及生活方式和监测建议的应用。玫瑰表格准确地将参与者分类为有乳腺癌史或无乳腺癌史（p <.05），但根据自初次参与以来对乳腺癌或卵巢癌的诊断，其风险水平没有显着差异。 ，中度或高风险（p> .05）。玫瑰项目影响了参与者的生活方式选择和筛查实践，其中38％的生活方式改变和52％的修改筛查习惯。罗斯表格被认为是评估年龄，家庭史，体重指数，初潮年龄，母乳喂养史，初生婴儿年龄，口服避孕药和女性激素使用史以及过去压力水平的评估乳腺癌风险的有效工具。得出93.1％的预测准确度（p <.05）。

著录项

  • 作者

    Sprod, Lisa Kay.;

  • 作者单位

    University of Northern Colorado.;

  • 授予单位 University of Northern Colorado.;
  • 学科 Health Sciences Public Health Education.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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