Quantifying body shape in pediatric clinical research

Active Project Grant Awarded Last action

Award ID
R01HD103885
Recipient
Awarding agency
Obligated
$3,766,536

Award facts

Completion date 91% complete
Originally
Place of performance
Honolulu, HI 96813, USA

Award details come from USAspending.gov.

Description

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.

Transactions

Action Obligated Date
Amendment $0
Amendment $623,728
Amendment $617,491
Amendment $616,871
Amendment $616,871
Amendment $632,270
Original award $659,305

Subawards

Subrecipient Amount Awarded
Kapi'olani Medical Center For Women And Children Quantifying Body Shape in Pediatric Clinical Research $15,530
Pennington Biomedical Research Center $165,041
Institut National De Recherche En Informatique Et En Automatique $68,504
Kapi'olani Medical Center For Women And Children $15,375
Pennington Biomedical Research Center $163,390
Kapi'olani Medical Center For Women And Children $15,530
Pennington Biomedical Research Center $181,061
Institut National De Recherche En Informatique Et En Automatique $69,196

Quick answers

Who received award R01HD103885?

R01HD103885 was awarded to University Of Hawaii by National Institute of Child Health and Human Development (National Institutes of Health) on August 9, 2021.

How much is award R01HD103885 worth?

$3,766,536 has been obligated on R01HD103885.

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