Cigarette smoking, alcohol, obesity, leisure-time physical activity and quality o

吸烟、酗酒、肥胖、休闲身体活动及质量

基本信息

项目摘要

DESCRIPTION (provided by applicant): In recent years there have been major advances in the prevention of cancer, including breast, colon and prostate cancer. However, to benefit from cancer chemoprevention, healthy people must adhere to the regimen despite inconvenience and some side effects. Identifying and understanding the factors that predict adherence is critical, if the long-term benefits of cancer chemopreventive therapies are to be realized. The primary objective of this application is to identify a profile of women who have had difficulty with adherence to chemoprevention for breast cancer. This profile will be characterized by demographic variables, medical history, quality of life, and health behaviors: obesity, alcohol use, cigarette smoking, and leisure-time physical activity. If women with particular characteristics are less likely to adhere to chemoprevention, then additional interventions targeting these subgroups and addressing the underlying factors that lead to the unhealthy behaviors can be designed to maximize the benefits of chemoprevention treatment. The proposed research will also examine reasons for poor adherence and the effectiveness of efforts to improve adherence. These objectives will be accomplished with a secondary analysis of a large existing clinical trial database from the Breast Cancer Prevention Trial (BCPT). The BCPT, which was funded by the National Cancer Institute (NCI) and coordinated by the National Surgical Adjuvant Breast and Bowel Project (NSABP), was designed to compare tamoxifen versus placebo for the prevention of breast cancer. The participants were 13,338 women at high risk of breast cancer. In addition to detailed drug adherence monitoring, information was collected regarding smoking history, alcohol use, exercise, and other demographic, medical and psychosocial variables. Both short term (1-month) and long term (3-year) drug adherence will be examined. The analytic approach will be based on a previously published theoretical model. Logistic regression will be performed to test the associations of drug adherence with participant characteristics that are predicted by the model. Cluster analysis will be used to identify clusters of health behaviors. Logistic regression will also be used to examine the associations between participant characteristics and reasons given for non-adherence. Logistic repeated measures modeling will be used to examine the effectiveness (in terms of causing an improvement in adherence) of efforts undertaken by clinical staff. This project will further the mission of the National Cancer Institute to support research in cancer prevention. This project will examine data from a large, completed study for the prevention of breast cancer. The results will provide information about which patients tend not to adhere to their cancer prevention medication, why patients do not always adhere, and what their medical providers can do to improve adherence.
描述(由申请人提供):近年来,在预防癌症(包括乳腺癌、结肠癌和前列腺癌)方面取得了重大进展。然而,为了从癌症化学预防中受益,健康人必须坚持该方案,尽管有不便和一些副作用。如果要实现癌症化学预防疗法的长期益处,识别和理解预测依从性的因素至关重要。本申请的主要目的是确定难以坚持乳腺癌化学预防的妇女的概况。这一概况将以人口统计学变量、病史、生活质量和健康行为为特征:肥胖、饮酒、吸烟和休闲体育活动。如果具有特定特征的女性不太可能坚持化学预防,那么可以设计针对这些亚组的额外干预措施,并解决导致不健康行为的潜在因素,以最大限度地发挥化学预防治疗的益处。拟议的研究还将研究依从性差的原因以及改善依从性的努力的有效性。这些目标将通过对来自乳腺癌预防试验(BCPT)的大型现有临床试验数据库进行二次分析来实现。BCPT由国家癌症研究所(NCI)资助,由国家外科辅助乳腺和肠道项目(NSABP)协调,旨在比较他莫昔芬与安慰剂预防乳腺癌的效果。参与者是13,338名乳腺癌高危女性。除了详细的药物依从性监测外,还收集了有关吸烟史、饮酒、运动和其他人口统计学、医学和心理社会变量的信息。将检查短期(1个月)和长期(3年)药物依从性。分析方法将基于以前发表的理论模型。将进行逻辑回归,以检验药物依从性与模型预测的受试者特征的相关性。聚类分析将用于确定健康行为的聚类。还将使用逻辑回归来检查参与者特征与不依从原因之间的关联。将使用逻辑重复测量模型来检查临床工作人员所做努力的有效性(在改善依从性方面)。该项目将进一步推进国家癌症研究所支持癌症预防研究的使命。该项目将检查一项大型的、已完成的预防乳腺癌研究的数据。这些结果将提供有关哪些患者倾向于不坚持使用癌症预防药物的信息,为什么患者不总是坚持,以及他们的医疗提供者可以做些什么来提高依从性。

项目成果

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STEPHANIE R LAND其他文献

STEPHANIE R LAND的其他文献

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{{ truncateString('STEPHANIE R LAND', 18)}}的其他基金

Cigarette smoking, alcohol, obesity, leisure-time physical activity and quality o
吸烟、酗酒、肥胖、休闲身体活动及质量
  • 批准号:
    7616602
  • 财政年份:
    2008
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    7088505
  • 财政年份:
    2006
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    8555311
  • 财政年份:
    2001
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    7426473
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    8092837
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    8567009
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    8729250
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    7843718
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:
BIOSTATISTICS/BIOINFORMATICS CORE
生物统计学/生物信息学核心
  • 批准号:
    7624403
  • 财政年份:
  • 资助金额:
    $ 7.58万
  • 项目类别:

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