Quantifying body shape in pediatric clinical research
量化儿科临床研究中的体形
基本信息
- 批准号:10299250
- 负责人:
- 金额:$ 65.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-09 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:3-Dimensional6 year oldAddressAdolescent obesityAdultAgeAirAnthropometryAwardBiometryBirthBody CompositionBody SizeBody WaterBody mass indexCardiovascular DiseasesCharacteristicsChildChildhoodClinical ResearchComputersDataDescriptorDevelopmentDiagnosisDietary FactorsDiscipline of NursingDiseaseDisease ResistanceDual-Energy X-Ray AbsorptiometryEpidemicFailure to ThriveFatty acid glycerol estersFluid ShiftsGoalsGrantHealthHydration statusImageIncidenceInstitutesInsulin ResistanceInternationalInterventionInvestigationLegLengthLifeLife Cycle StagesLinkMachine LearningMalignant NeoplasmsManualsMeasurementMeasuresMedical ImagingMetabolicMetabolic DiseasesMethodsMissionModelingModernizationMonitorMovementNational Institute of Diabetes and Digestive and Kidney DiseasesObesityOpticsOutcomeParticipantPersonal SatisfactionPhenotypePlayPlethysmographyPopulationPublic HealthResearchResearch PersonnelResearch SupportResolutionResourcesRiskRoleScanningScientistShapesSpectrum AnalysisSpeedStudy modelsTechnologyThinnessTimeUnited States National Institutes of HealthWeightarmcancer riskcancer typeclinical practiceclinically relevantdemographicsdisorder preventiondisorder riskearly childhoodethnic diversityexperiencehigh riskhuman diseasemetabolomicsmuscle formnutritionobesity in childrenobesity preventionobesity riskpediatricianpredictive modelingrapid weight gainrecruitsensorsextoolwhole body imaging
项目摘要
Project Summary/Abstract. Excess adiposity is associated with metabolic changes that significantly increase
the risk of developing 13 types of cancer. It is estimated that up to 20% of cancer cases are caused by obesity
and that obesity prevention can play a significant role in the reduction of cancer incidence. Among obese
adolescents, the most rapid weight gain has been shown to occur between 2 and 6 years of age. Despite clear
connections between these factors and obesity risk, the study of obesity in early childhood is limited by the lack
of body composition technologies appropriate for this age range. The long term goal of the Shape Up! Keiki is 1)
to provide pediatric phenotype descriptors of health derived from detailed body shape scans from high-speed
and high depth resolution 3D cameras, and 2) to provide the tools to visualize and quantify body shape in
research and clinical practice. Our approach addresses technology issues that have hindered body composition
research in this age range including participants' inability to hold still, follow directions, small body size, and rapid
fluid shifts. To develop our body composition models, we will recruit 360 ethnically-diverse children from birth to
5 years stratified by sex and BMI-Z. Our central hypothesis is that optical estimates of body composition suitably
represent a 5-compartment (5C) body composition model for studies of adiposity and health in young children
and are superior to that of simple anthropometry and demographics. Our specific aims and subaims are as
follows: 1) identify the statistical shape descriptors from 3DO scans that best represent 5-compartment body
composition in an ethnically-diverse pediatric population, 1(a) identify the relationships that best link 3DO shape
descriptors of body subregions (arms, legs, trunk), and matching volumes and body composition measures, 1(b)
calibrate automated 3DO anthropometry to clinically relevant girths and lengths, Exploratory) identify accessible
combinations of 3DO and TBW that can be calibrated to criterion 5C measures of fat and hydration, 2) identify
the factors that define the precision of accessible 3D optical body composition estimates to monitor change in
body composition and metabolic health interventions, 3) contrast the association of body shape, 3DO, and 5C
criterion body composition to pediatric health indicators including clinically relevant exposures (SES, nursing
duration, birth method, nutrition) and development. The rationale for this study is that early life access to accurate
body composition data will enable identification of factors that increase obesity, metabolic disease, and cancer
risk, and provide a means to target interventions to those that would benefit. The expected outcome is that our
findings would be immediately applicable to accessible gaming and imaging sensors found on modern
computers.
项目总结/抽象。过度肥胖与代谢变化显著增加有关
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Steven Heymsfield其他文献
Steven Heymsfield的其他文献
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{{ truncateString('Steven Heymsfield', 18)}}的其他基金
Quantifying body shape in pediatric clinical research
量化儿科临床研究中的体形
- 批准号:
10641835 - 财政年份:2021
- 资助金额:
$ 65.93万 - 项目类别:
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