Shape up! Kids

塑造！

• 批准号: 9220287
• 负责人: Steven Heymsfield
• 金额: $ 70.38万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-20 至 2021-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9220287
• 关键词: Adipose tissue; Adult; Age; Algorithms; Animals; Anthropometry; Area; Blood Pressure; Body Composition; Body Surface; Body Weight decreased; Body mass index; Body measure procedure; Bone Density; Child; Childhood; Classification; Clinical; Computer Vision Systems; Data; Descriptor; Development; Diabetes Mellitus; Diagnosis; Disease; Dual-Energy X-Ray Absorptiometry; Epidemic; Epidemiology; Ethnic Origin; Failure to Thrive; Fatty acid glycerol esters; Fracture; Gender; Genetic; Glucose; Goals; Health; High Density Lipoprotein Cholesterol; Human; Image; Imaging technology; Insulin Resistance; International; Intervention; Intuition; Ionizing radiation; Life Style; Liver; Measures; Medical Imaging; Metabolic; Metabolic Diseases; Methodology; Mission; Modeling; Monitor; Movement; Muscle; National Health and Nutrition Examination Survey; Obesity; Obesity associated disease; Optics; Outcome; Pediatric Radiology; Phenotype; Population; Public Health; Race; Research; Research Personnel; Research Support; Resolution; Risk; Risk Factors; Safety; Scanning; Self Assessment; Shapes; Technology; Technology Assessment; Thinness; Three-Dimensional Imaging; Training; Triglycerides; United States National Institutes of Health; Visceral; Waist-Hip Ratio; Weight; bone; clinical practice; cost; disorder prevention; handheld mobile device; high risk; human disease; indexing; insulin sensitivity; metabolomics; mortality; muscle form; optical imaging; predictive modeling; sensor; sex; soft tissue; subcutaneous; tool; waist circumference

Project Summary/Abstract Of all markers of pediatric health, the most intuitive is body shape. Human and animal studies indicate that weight loss/gain correlates closely with increasing/decreasing insulin sensitivity, respectively. Anthropometry and regional composition measures such as waist circumference, waist to hip ratio (WHR), and visceral adipose tissue area are better predictors of obesity-related diseases and mortality risk than pediatric body mass index Z-score. Dual-energy X-ray absorptiometry can quantify regional adiposity in more detail than these measures but is underutilized for many reasons including the sensitivity to children to ionizing radiation, cost, and training. A study is needed to take advantage of rapid technological developments in optical technology to better describe phenotypes of pediatric body shape and its relation to metabolic risks (obesity, “failure to thrive”) and bone density and size. If successful, sophisticated obesity phenotype profiles could be constructed to clarify the underlying associations of body composition with disease, genetics, lifestyle exposures, metabolomics, and be highly assessable using self-assessment technology. The long term goal of the Shape Up! Kids Study is 1) to provide pediatric phenotype descriptors of health using body shape, and 2) to provide the tools to visualize and quantify body shape in research, clinical practice, and personal health assessment. Our overall approach is to first derive predictive models of how body shape relates to regional and total body composition (subcutaneous fat, visceral fat, muscle mass, lean mass, and percent fat) and bone mineral density (BMD) over a wide range of ages (5 to 18 years), weights and heights, stratified by sex, and ethnicity. Our central hypothesis is that optical estimates with shape classification of soft tissue composition and bone density better predict fracture and metabolic risk factors than anthropometry (WC, WHR, and BM) alone. The Investigators will highly leverage existing data from the National Health and Nutrition Examination Survey and Bone Mineral Density in Children Study. Our specific aims are: 1) Identify the unique associations of body shape to body composition and bone density indices in a pediatric population that represents the variance found in the US population, 2) Describe the precision and accuracy of optical scans to monitor change in body composition, bone density, 3) Estimate the level of association of optical scans to common health indicators including metabolic risk factors. Our exploratory aim is to investigate holistic, high-resolution descriptors of 3D body shape as direct predictors of body composition and metabolic risk using statistical shape models and Latent Class Analysis. By the end of this study, we expect to have models of the shape and composition suitable for self-assessment technologies that are capable of representing over 95% of the shape variance in the US pediatric population, and to define how these models relate to important metabolic status indicators. The positive impact of these outcomes will be the immediate applicability to other researcher studies and clinicians using the automated tools and models developed here for 3D optical images.

在儿科健康的所有标志中，最直观的是体型。 人类和动物研究表明，体重减轻/增加与以下因素密切相关： 分别增加/降低胰岛素敏感性。人体测量和区域组成 腰围、腰臀比（WHR）和内脏脂肪组织等指标 面积是更好的预测肥胖相关疾病和死亡风险比儿童身体 质量指数Z评分。双能X线骨密度仪可以量化更多的区域性肥胖 比这些措施更详细，但由于许多原因， 儿童电离辐射，成本和培训。需要进行一项研究， 光学技术的技术发展，以更好地描述儿科表型 体型及其与代谢风险（肥胖、“发育不良”）和骨密度的关系， 尺寸如果成功，可以构建复杂的肥胖表型谱，以阐明 身体成分与疾病、遗传、生活方式暴露的潜在关联， 代谢组学，并使用自我评估技术进行高度评估。长期目标 关于Shape Up！儿童研究是1）使用 体型，以及2）提供在研究、临床和医学中可视化和量化体型的工具。 实践和个人健康评估。我们的总体方法是首先得出预测性的 体型如何与局部和全身组成（皮下脂肪， 内脏脂肪、肌肉质量、瘦体重和脂肪百分比）和骨矿物质密度（BMD）。 年龄（5至18岁）、体重和身高的范围很广，按性别和种族分层。我们 中心假设是软组织组成的形状分类的光学估计 骨密度比人体测量学更能预测骨折和代谢危险因素（WC， WHR和BM）单独使用。调查人员将高度利用国家统计局的现有数据， 儿童健康营养调查与骨密度研究。我们 具体目标是：1）确定身体形状与身体成分的独特联系， 儿科人群的骨密度指数，代表美国发现的方差 2）描述光学扫描监测身体变化的精密度和准确度 3）估计光学扫描与常见骨密度的关联水平， 健康指标，包括代谢危险因素。我们的探索性目标是研究整体的， 作为身体组成的直接预测器的3D身体形状的高分辨率描述符， 代谢风险使用统计形状模型和潜在类别分析。在年底前 研究，我们希望有模型的形状和组成适合自我评估 能够代表美国95%以上形状变化的技术 儿科人群，并定义这些模型如何与重要的代谢状态 指标这些成果的积极影响将直接适用于其他国家， 研究人员和临床医生使用这里开发的3D自动化工具和模型， 光学图像