Merlin G Butler1, Jaehoon Lee2, Ann M Manzardo3, June-Anne Gold4, Jennifer L Miller5, Virginia Kimonis6, Daniel J Driscoll5. 1. Departments of Psychiatry and Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas; mbutler4@kumc.edu. 2. Institute for Measurement, Methodology, Analysis & Policy, Texas Tech University, Lubbock, Texas; 3. Departments of Psychiatry and Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas; 4. Department of Pediatrics, Loma Linda University Medical School, Loma Linda, California; 5. Department of Pediatrics, University of Florida, Gainesville, Florida; and. 6. Department of Pediatrics, University of California, Irvine, California.
Abstract
OBJECTIVE: The goal of this study was to generate and report standardized growth curves for weight, height, head circumference, and BMI for non-growth hormone-treated white male and female US subjects with Prader-Willi syndrome (PWS) between 3 and 18 years of age and develop standardized growth charts. METHODS: Anthropometric measures (N = 133) were obtained according to standard methods from 120 non-growth hormone-treated white subjects (63 males and 57 females) with PWS between 3 and 18 years of age. Standardized growth curves were developed for the third, 10th, 25th, 50th, 75th, 90th, and 97th percentiles by using the LMS method for weight, height, head circumference, and BMI for PWS subjects along with the normative third, 50th, and 97th percentiles from national and international growth data. The LMS smoothing procedure summarized the distribution of the anthropometric variables at each age using three parameters: power of the Box-Cox transformation λ (L), median μ (M) and coefficient of variation δ (S). RESULTS: Weight, height, head circumference, and BMI standardized growth charts representing 7 percentile ranges were developed from 120 non-growth hormone-treated white male and female US subjects with PWS (age range: 3-18 years) and normative third, 50th, and 97th percentiles from national and international data. CONCLUSIONS: We encourage the use of syndrome-specific growth standards to examine and evaluate subjects with PWS when monitoring growth patterns and determining nutritional and obesity status. These variables can be influenced by culture, individual medical care, diet intervention, and physical activity plans.
OBJECTIVE: The goal of this study was to generate and report standardized growth curves for weight, height, head circumference, and BMI for non-growth hormone-treated white male and female US subjects with Prader-Willi syndrome (PWS) between 3 and 18 years of age and develop standardized growth charts. METHODS: Anthropometric measures (N = 133) were obtained according to standard methods from 120 non-growth hormone-treated white subjects (63 males and 57 females) with PWS between 3 and 18 years of age. Standardized growth curves were developed for the third, 10th, 25th, 50th, 75th, 90th, and 97th percentiles by using the LMS method for weight, height, head circumference, and BMI for PWS subjects along with the normative third, 50th, and 97th percentiles from national and international growth data. The LMS smoothing procedure summarized the distribution of the anthropometric variables at each age using three parameters: power of the Box-Cox transformation λ (L), median μ (M) and coefficient of variation δ (S). RESULTS: Weight, height, head circumference, and BMI standardized growth charts representing 7 percentile ranges were developed from 120 non-growth hormone-treated white male and female US subjects with PWS (age range: 3-18 years) and normative third, 50th, and 97th percentiles from national and international data. CONCLUSIONS: We encourage the use of syndrome-specific growth standards to examine and evaluate subjects with PWS when monitoring growth patterns and determining nutritional and obesity status. These variables can be influenced by culture, individual medical care, diet intervention, and physical activity plans.
Authors: Jennifer L Miller; Christy H Lynn; Danielle C Driscoll; Anthony P Goldstone; June-Anne Gold; Virginia Kimonis; Elisabeth Dykens; Merlin G Butler; Jonathan J Shuster; Daniel J Driscoll Journal: Am J Med Genet A Date: 2011-04-04 Impact factor: 2.802
Authors: Merlin G Butler; Virginia Kimonis; Elisabeth Dykens; June A Gold; Jennifer Miller; Roy Tamura; Daniel J Driscoll Journal: Am J Med Genet A Date: 2017-12-22 Impact factor: 2.802
Authors: Merlin G Butler; Jaehoon Lee; Devin M Cox; Ann M Manzardo; June-Anne Gold; Jennifer L Miller; Elizabeth Roof; Elisabeth Dykens; Virginia Kimonis; Daniel J Driscoll Journal: Clin Pediatr (Phila) Date: 2016-02-03 Impact factor: 1.168