The authors of a study employing a unique methodology (growth curves of body fat measures are examined) will discuss their approach and findings in a presentation entitled, "Effects of Candidate Genes on Growth Curves for Adiposity." The investigators are Robert H. Podolsky, Hyun-Sik Kang, Paule Barbeau, Frank A. Treiber and Harold Snieder, all of the Medical College of Georgia. They will appear during the upcoming scientific conference, "Understanding Renal and Cardiovascular Function Through Physiological Genomics," a meeting of the American Physiological Society (APS) (www.the-aps.org), being held October 1-4, 2003 at the Radisson Riverfront Hotel and Convention Center, Augusta, GA.
A Unique Approach
The researchers' approach to measuring obesity is unique in two ways. First, the data come from a longitudinal study of more than 620 participants who have annually provided key body measurements for more than a decade. Second, a statistical approach known as growth curve modeling is used to describe the development of body fat measures of each individual, and examine how the growth curves differ by race, sex, socio-economic status, and genetic make-up.. This research lab is one of a handful worldwide to use such a technique to analyze obesity and its relationship to the genes believed to play a significant role in the development of obesity from childhood to adulthood.
Growth curves using hallmarks of obesity -- body mass index, waist circumference and sum of skinfolds taken from triceps, subscapular and suprailiac areas -- were employed. The growth
Contact: Donna Krupa
American Physiological Society