PURPOSE: This study examined longitudinal changes in waist-to-height ratio and components of body mass index (BMI) among young and adolescent girls of black and white race/ethnicity. METHODS: Girls were recruited at age 9 years through the National Heart, Lung, and Blood Institute Growth and Health Study (NGHS) and were followed annually over 10 years. Girls were grouped into low (<20(th) percentile), middle, and high (>80(th) percentile) BMI on the basis of race-specific BMI percentile rankings at age 9, and low, middle, and high waist-to-height ratio, on the basis of waist-to-height ratio at age 11. BMI was partitioned into fat mass index (FM) and fat-free mass index (FMI). RESULTS: Girls accrued fat mass at a greater rate than fat-free mass, and the ratio of fat mass to fat-free mass increased from ages 9 through 18. There was a significant increase in this ratio after age at peak height velocity. Participants with elevated BMI and waist-to-height ratios at age 18 tended to have been elevated at ages 9 and 11, respectively. There were strong correlations between BMI at age 9 with several outcomes at age 18: BMI (.76) and FMI (.72), weaker but significant with FFMI (.37), and ratio of fat mass to fat-free mass (.53). In addition, there was significant tracking of elevated BMI from ages 9 through 18. CONCLUSIONS: In girls, higher BMI levels during childhood lead to greater waist-to-height ratios and greater than expected changes in BMI by age 18, with disproportionate increases in fat mass. These changes are especially evident in adolescent girls of black race/ethnicity and after the pubertal growth spurt.
PURPOSE: This study examined longitudinal changes in waist-to-height ratio and components of body mass index (BMI) among young and adolescent girls of black and white race/ethnicity. METHODS:Girls were recruited at age 9 years through the National Heart, Lung, and Blood Institute Growth and Health Study (NGHS) and were followed annually over 10 years. Girls were grouped into low (<20(th) percentile), middle, and high (>80(th) percentile) BMI on the basis of race-specific BMI percentile rankings at age 9, and low, middle, and high waist-to-height ratio, on the basis of waist-to-height ratio at age 11. BMI was partitioned into fat mass index (FM) and fat-free mass index (FMI). RESULTS:Girls accrued fat mass at a greater rate than fat-free mass, and the ratio of fat mass to fat-free mass increased from ages 9 through 18. There was a significant increase in this ratio after age at peak height velocity. Participants with elevated BMI and waist-to-height ratios at age 18 tended to have been elevated at ages 9 and 11, respectively. There were strong correlations between BMI at age 9 with several outcomes at age 18: BMI (.76) and FMI (.72), weaker but significant with FFMI (.37), and ratio of fat mass to fat-free mass (.53). In addition, there was significant tracking of elevated BMI from ages 9 through 18. CONCLUSIONS: In girls, higher BMI levels during childhood lead to greater waist-to-height ratios and greater than expected changes in BMI by age 18, with disproportionate increases in fat mass. These changes are especially evident in adolescent girls of black race/ethnicity and after the pubertal growth spurt.
Authors: Roger M Siervogel; Ellen W Demerath; Christine Schubert; Karen E Remsberg; William Cameron Chumlea; Shumei Sun; Stefan A Czerwinski; Bradford Towne Journal: Horm Res Date: 2003
Authors: D S Freedman; J Wang; L M Maynard; J C Thornton; Z Mei; R N Pierson; W H Dietz; M Horlick Journal: Int J Obes (Lond) Date: 2005-01 Impact factor: 5.095
Authors: Rebecca P Gelber; J Michael Gaziano; E John Orav; Joann E Manson; Julie E Buring; Tobias Kurth Journal: J Am Coll Cardiol Date: 2008-08-19 Impact factor: 24.094
Authors: Cindy W Leung; Barbara A Laraia; Maggi Kelly; Dana Nickleach; Nancy E Adler; Lawrence H Kushi; Irene H Yen Journal: Am J Prev Med Date: 2011-07 Impact factor: 5.043
Authors: Isabel V Wagner; Mathew A Sabin; Roland W Pfäffle; Andreas Hiemisch; Elena Sergeyev; Antje Körner; Wieland Kiess Journal: Nat Rev Endocrinol Date: 2012-01-31 Impact factor: 43.330
Authors: S M Pinney; G C Windham; C Xie; R L Herrick; A M Calafat; K McWhorter; C S Fassler; R A Hiatt; L H Kushi; F M Biro Journal: Int J Hyg Environ Health Date: 2019-07-09 Impact factor: 5.840