BODY COMPOSITION ASSESSMENT IN SPINAL CORD INJURY

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者的研究机构。 本协议的假设： 回归方程与金标准4-Combustion建模的比较 X射线吸收测定法（DXA）、生物电阻抗分析（BIA）和人体测量法可以提供相对快速和廉价的SCI肥胖测量方法，这些方法与以下列出的继发性疾病高度相关。在SCI患者中，体脂百分比与内脏脂肪高度相关， 这些指标与脂肪生成性动脉粥样硬化的介质高度相关 具体目标包括： 当前提案的具体目标是将几种身体成分评估措施与金标准（4-Combustion Modeling）进行比较，并开发可用于临床环境的回归方程，以估计代谢综合征和动脉粥样硬化的风险。 本提案中要解决的具体目标是：将不同的身体成分分析方法与金标准4室监测进行比较，以确定这些替代方法的准确性和有效性，但劳动密集度较低。 评估体脂百分比、内脏脂肪和代谢综合征标志物（包括空腹血糖、胰岛素敏感性、高血压、血脂异常、纤溶酶原激活物抑制剂-1（派-1）、凝血酶激活的纤维蛋白溶解抑制剂（TAFI）和高敏性 C-反应蛋白（hsCRP）开发身体成分回归方程，可以很容易地在临床环境中使用，以估计SCI患者的代谢综合征风险。 在一组独立的SCI患者中，对照金标准4房室模型交叉验证推导的回归方程。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Hypothesis of this protocol: Regression equations compared to the gold standard 4-Compartment Modeling using Dual-energy X-Ray Absorptiometry (DXA), Bioelectrical Impedance Analysis (BIA), and anthropometric measures can provide relatively quick and inexpensive measures of obesity in SCI which will be highly correlated with the secondary conditions listed below. Percent Body Fat will be highly correlated with visceral fat in persons with SCI, and both measures will be highly correlated with mediators of lipogenic atherosclerosis Specific Aims include: The specific objectives for the current proposal are to compare several measures of body composition assessment with the gold standard (4-Compartment Modeling) and to develop regression equations that can be utilized in the clinical setting to estimate risk for metabolic syndrome and atherosclerosis. Specific objectives to be addressed in the current proposal are: To compare different methods of body composition analyses with the gold standard 4-compartment monitoring to determine accuracy and validity of those alternative, but less labor-intensive techniques. To assess the relationship between per cent body fat, visceral fat, and markers of the metabolic syndrome, including fasting glucose, insulin sensitivity, hypertension, dyslipidemia, Plasminogen Activator Inhibitor-1 (PAI-1), Thrombin- Activatable Fibrinolysis Inhibitor (TAFI), and high-sensitivity C-Reactive Protein (hsCRP) To develop body composition regression equations that can be easily utilized in a clinical setting to estimate risk for the metabolic syndrome in persons with SCI. To cross-validate the derived regression equations against the gold standard 4-compartment model in an independent group of persons with SCI.