Novel Analyses of Abdominal Computed Tomography Data in CARDIA

 描述(申请人提供)：在动物和人类中积累的临床研究表明，大量的腹部脂肪，特别是腹部内器官内部和周围的脂肪(内脏脂肪和肝脏脂肪)，在糖尿病和心血管疾病的风险中起着至关重要的作用。然而，还没有大规模的流行病学研究来检验生活方式对这些腹部脂肪储存的作用。到目前为止，很少有流行病学队列研究包括从社区参与者的大样本中详细测量腹内脂肪堆积的情况。本申请中提出的研究使用现有的NHLBI数据集来填补一系列严格分析中的证据空白。NHLBI青年冠状动脉风险发展(CARDIA)研究包括对饮食和久坐行为的详细评估，以及四种腹部脂肪储备(皮下、内脏、肌肉和肝脏)的计算机断层成像评估，这些成年人在美国四个大都市地区接受了长达25年的跟踪调查。该数据集还提供了一系列可被评估为潜在混杂因素的丰富的人口和心理社会因素。我们建议通过对成年非裔美国人和高加索人男性和女性的CARDIA数据的分析来解决以下三个具体目标：1)描述久坐的生活习惯和腹内脂肪储备之间的联系。2)描述饮食结构和肝脏脂肪之间的关系。3)结合临床常用指标建立内脏脂肪体积预测模型，用于研究和转化为临床实践。这些分析将为 我们将向NIH提出未来应用的几个研究领域的基础，包括前瞻性研究和基于社区的干预研究。这种旨在改变生活方式、以改善身体成分为目标的转化研究，对于在慢性病一级和二级预防方面取得科学和公共卫生进展至关重要。

 DESCRIPTION (provided by applicant): Accumulating clinical research in animals and humans suggests that high amounts of abdominal fat, particularly within and around the organs inside the abdomen (visceral fat and liver fat), plays a crucial role in risk for diabetes and cardiovascular diseases. However, there have been no large epidemiologic studies examining the role of lifestyle on these abdominal fat stores. Until now, few, if any, epidemiologic cohort studies have included detailed measures of intra-abdominal fat depots from a large sample of community- based participants. The study proposed in this application uses an existing NHLBI dataset to fill these evidence gaps in a series of rigorous analyses. The NHLBI Coronary Artery Risk Development in Young Adults (CARDIA) Study includes detailed assessments of dietary and sedentary behaviors, as well as four abdominal fat depots (subcutaneous, visceral, intramuscular, and hepatic) assessed by computed tomography imaging in 3,170 African American and Caucasian adults that have been followed for 25 years in four U.S. metropolitan regions. The data set also provides a rich array of demographic and psychosocial factors that can be assessed as potential confounding factors. We propose to address the following three specific aims through analyses of CARDIA data in adult African American and Caucasian men and women: 1) Describe the associations between sedentary lifestyle habits and intra-abdominal fat depots. 2) Describe the associations between dietary patterns and hepatic fat. 3) Develop a prediction model for visceral fat volume based upon a combination of common clinical measures for use in research and translation to clinical practice. These analyses will lay the foundation for several areas of future research that we will propose to NIH in future applications, including prospective studies and community-based intervention studies. Such translational research geared towards changing lifestyle with the goal of improving body composition will be crucial towards scientific and public health progress in primary and secondary prevention of chronic diseases.