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Project Information
Project Title:  Assessing fat mass in adolescents using anthropometry and maturity status
Period:  from: 2005-09-01 to: 2008-08-31  
Principal Investigator(s): Mundt, Clark  
Co-Investigators:  
Supervisors: Baxter-Jones, Adam Dominic George  
Previous Investigators/Supervisors:  
Institution: University of Saskatchewan  
Department: Kinesiology 
Program: Regional Partnership Program Doctoral Research Award 
Assigned PRC: DRA 
Primary Institute: Human Development, Child and Youth Health 
Primary Theme: Biomedical 
Keywords: ADOLESCENTS, ANTHROPOMETRY, BODY COMPOSITION, BODY FAT PERCENTAGE, EQUATION, FAT MASS, GENDER, GROWTH, HEALTH, LE DOMAINE DE LA SANTÉ, MATURATION, MEASUREMENT, OBESITE, OBESITY, POPULATION HEALTH, SANTÉ DES POPULATIONS 
Abstract: There is evidence that the prevalence of overweight and obesity amongst Canadians is steadily increasing. The increase is particularly alarming amongst children and adolescents who often maintain overweight and obesity status into adulthood. The tools currently used for determining overweight and obesity status either lack specificity, or are too costly to employ to detect an individuals early tendencies to increasing fat mass. My proposed research is aimed at filling this gap in the field of body composition assessment by providing health educators, professionals, and researchers a tool to quickly, and inexpensively assess individuals body composition. The tool I propose to generate will be created initially by using a large existing longitudinal database of growing adolescent's body proportion and maturity status data. A new sample of adolescents will then test the validity and improve the accuracy of the tool, and a third sample of adolescents will test its reliability and practicality in the field setting. The aforementioned tool which I propose to generate is an equation that utilizes an adolescents body proportions (anthropometric measurements) and maturity status (which directly affects fat accumulation) to assess an individuals body composition, and ultimately indicate health risk. The equation I propose to generate, if utilized appropriately would allow reference data to be generated for normal healthy levels of children¿s fat mass as they develop. It would also provide an effective tool for researcher to employ in determining factors which influence fat mass, or in determining the effectiveness of interventions intended to reduce fat mass. The tool could also provide a means of early detection of fat mass levels, allowing early implementation of strategies to reduce the health risks associated with overweight and obesity. 

Funding Information
Fiscal Year Amount
2005-06 $6,625
2006-07 $11,000
2007-08 $11,000
2008-09 $4,375
Total: $33,000