Real Time Analysis of Diet and Activity Data

描述(由申请者提供)：我的职业发展奖的目标是成为一名独立的研究人员，专门从事行为生活方式干预统计方法的开发和应用。我是一名生物统计学家，具有分析随机临床试验数据和开发处理缺失数据的方法的丰富经验。这一K07奖项将建立在过去经验的基础上：(1)提供饮食和体力活动干预方面的培训，重点是评估、遵守和生活方式行为的决定因素，以及(2)提供指导指导，以开发专门设计的统计方法，分析在行为干预的临床试验中收集的实时饮食和活动数据。为了实现这些目标，我制定了一项全面的教育计划，其中包括一名行为干预者、一名专门从事行为干预的生物统计学家、一名研究专长于体力活动评估的运动学家、一名营养流行病学家和一名分析加速度计输出的统计学家。我提出的研究既加强了我的培训，又提供了原创的、创新的统计方法来回答有关行为干预的重要问题。该研究计划侧重于以下具体目标：1)开发统计模型，在实时水平上调查体育活动对饮食的影响。2)找出预测长期行为变化的因素。3)通过放宽关于缺失数据的假设，扩展了AIMS 1和2中的统计模型。这个职业发展奖的研究和培训将使我成为研究项目和拨款的首席研究员，这些研究项目和拨款开发统计方法来研究行为变化的机制，并改进对饮食和活动行为的评估。

DESCRIPTION (provided by applicant): My goal for this career development award is to become an independent researcher specializing in the development and application of statistical methods for behavioral lifestyle interventions. I am a biostatistician with significant experience analyzing data from randomized clinical trials and developing methods for handling missing data. This K07 award will build on this past experience by: (1) providing training in diet and physical activity interventions, focusing on assessment, adherence, and the determinants of lifestyle behaviors, and (2) providing mentored guidance to develop statistical methods specifically designed to analyze real-time diet and activity data that is gathered in clinical trials of behavioral interventions. To achieve these goals, I have developed a comprehensive educational plan, including expert mentors consisting of a behavioral interventionist, a biostatistician who specializes in behavioral interventions, a kinesiologist whose research expertise is in physical activity assessment, a nutritional epidemiologist, and a statistician who is an expert in the analysis of accelerometer output. The research I have proposed both reinforces my training and provides original, innovative statistical methodology to answer important questions regarding behavioral interventions. The research plan focuses on the following specific aims: 1) Develop statistical models to investigate the effects of physical activity on diet at the real-time level. 2) Identify the factors which are predictive of long-term behavior change. 3) Extend the statistical models in aims 1 and 2 by relaxing assumptions regarding missing data. The research and training in this career development award will prepare me to be a principal investigator on research projects and grants that develop statistical methodology to investigate mechanisms of behavior change and improve the assessment of diet and activity behaviors.