Multilevel Determinants of Breast Cancer: Translating Research into Interventions

乳腺癌的多层次决定因素：将研究转化为干预措施

• 批准号: 8333389
• 负责人: Parisa Tehranifar
• 金额: $ 13.07万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8333389
• 关键词: Address; Adult; African American; Age; Behavioral; Biological; Biological Factors; Biological Markers; Blood Glucose; Body Weight decreased; Breast; Breast Cancer Prevention; Breast Cancer Risk Factor; Cancer Burden; Cancer Control; Cancer Prevention Intervention; Censuses; Central obesity; Characteristics; Clinical; Collaborations; Collection; Communities; Community Participation; Community Surveys; Computer Assisted; Data; Development; Diet; Disadvantaged; Dyslipidemias; Enrollment; Environment; Epidemiology; Failure; Female; Focus Groups; Funding; Future; Glucose; Goals; High Density Lipoprotein Cholesterol; High Prevalence; Hispanics; Hypertension; Individual; Internet; Intervention; Intervention Studies; Interview; Investments; K-Series Research Career Programs; Knowledge; Lead; Link; Mammary Gland Parenchyma; Mammography; Measures; Mediating; Medical; Mentors; Mentorship; Metabolic; Metabolic Diseases; Metabolic syndrome; Methods; Minority; Minority Groups; Modeling; National Cancer Institute; Neighborhoods; Nested Case-Control Study; New York City; Obesity; Outcome; Pathology; Pathology Report; Pathway interactions; Physical activity; Population Study; Prevention; Process; Race; Records; Recruitment Activity; Research; Research Activity; Research Personnel; Research Training; Resources; Risk; Risk Behaviors; Risk Factors; Risk Reduction; Shapes; Social Conditions; Social Environment; Social Interaction; Social Network; Social support; Socioeconomic Status; Statistical Methods; Structure; System; Testing; Time; Tissues; Training; Translating; Translational Research; Triglycerides; Woman; anticancer research; base; blood lipid; breast cancer diagnosis; breast density; cancer diagnosis; cancer epidemiology; cancer health disparity; cancer prevention; cancer risk; cohort; community setting; contextual factors; effective intervention; experience; follow-up; low socioeconomic status; malignant breast neoplasm; member; mortality; population based; pressure; programs; prospective; public health relevance; research and development; skills; social; social integration; social science research; socioeconomics; success; therapy development

DESCRIPTION (provided by applicant): Eliminating cancer health disparities remains a high priority of the National Cancer Institute, and one of the most promising avenues for reducing the burden of cancer. Our nation's investment in cancer research has contributed to many breakthroughs in our knowledge of biomedical and behavioral risk factors. However, to effectively intervene on these risk factors, we must also understand the social contexts within which individual risks are developed and lead to persistent cancer health disparities. My goal in seeking this career development award is to become an independent researcher in the field of cancer health disparities, with a focus on multilevel research and intervention in racial/ethnic minority and socioeconomically disadvantaged communities. To leverage my existing training in social science research and cancer epidemiology, I propose additional training in applied intermediate marker and biomarker research, cancer prevention and control, community-engaged intervention research, and advanced statistical methods. An experienced interdisciplinary team of mentors will provide the necessary and complementary expertise and mentorship. My proposed research will examine the associations of social network characteristics (social integration, social support) and the metabolic syndrome (clustering of high blood glucose level, dyslipidemia, high blood pressure, abdominal obesity) with breast cancer risk and with mammographic breast density, a strong biomarker of breast cancer risk. I will investigate these aims in two separate study populations of Hispanic, African American, and White women, recruited from a socioeconomically disadvantaged community in New York City. I will build on extensive interview, clinical and biomarker data already available for these studies by obtaining the following data: neighborhood social environment (from U.S. Census data and previously constructed built environment data), breast density (measured from routine mammograms using validated computer-assisted methods) and breast cancer diagnosis (through review of medical and pathology records). Based on these results and in partnership with community representatives, I will conduct formative qualitative and quantitative research to guide the development of multilevel intervention strategies for breast cancer risk reduction. Together, these research activities will increase my understanding of the social environment characteristics, mediating behavioral factors, and biological pathways associated with breast cancer risk and increase my skills in community-engaged research and intervention development. Ultimately, this program of research will be applied to prevention of breast cancer risk through community-based interventions in low socioeconomic, racial/ethnic minority communities.

描述（由申请人提供）：消除癌症健康差异仍然是国家癌症研究所的高度优先事项，也是减少癌症负担最有希望的途径之一。我们国家在癌症研究上的投资，使我们在生物医学和行为风险因素方面的知识有了许多突破。然而，为了有效地干预这些风险因素，我们还必须了解个体风险发展并导致持续癌症健康差异的社会背景。我寻求这个职业发展奖的目标是成为癌症健康差异领域的独立研究人员，重点是多层次的研究和干预种族/少数民族和社会经济弱势群体。为了利用我在社会科学研究和癌症流行病学方面的现有培训，我建议在应用中间标记物和生物标志物研究，癌症预防和控制，社区参与的干预研究和先进的统计方法方面进行额外的培训。一个经验丰富的跨学科导师团队将提供必要的补充专业知识和指导。我提议的研究将检查社会网络特征（社会融合，社会支持）和代谢综合征（高血糖水平，血脂异常，高血压，腹部肥胖的聚集）与乳腺癌风险和乳腺摄影乳腺密度的关系，乳腺癌风险的一个强有力的生物标志物。我将调查这些目标在两个独立的研究人群的西班牙裔，非洲裔美国人，和白色妇女，从纽约市的社会经济弱势群体招募。我将建立在广泛的采访，临床和生物标志物数据已经为这些研究获得以下数据：邻里社会环境（从美国人口普查数据和以前构建的建筑环境数据），乳腺密度（使用验证的计算机辅助方法从常规乳房X线照片测量）和乳腺癌诊断（通过审查医疗和病理记录）。基于这些结果，并与社区代表合作，我将进行形成性的定性和定量研究，以指导制定降低乳腺癌风险的多层次干预策略。总之，这些研究活动将增加我对社会环境特征，介导行为因素和与乳腺癌风险相关的生物学途径的理解，并提高我在社区参与研究和干预开发方面的技能。最终，该研究计划将通过在社会经济水平较低、种族/少数民族社区进行社区干预来应用于预防乳腺癌风险。