Development of tanner stage-age adjusted CDC height curves for research and clinical applications

• Type of Material: Article
• Authors: Bradley S. Miller, University of Minnesota Twin Cities; Kyriakie Sarafoglou, University of Minnesota Twin Cities; O. Addo, Emory University
• Language: English
• Date: 2020-09-01
• Publisher: Endocrine Society
• Publication Version: Final Published Version
• Copyright Statement: © Endocrine Society 2020.
• License: Creative Commons Attribution 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1210/jendso/bvaa098
• Title of Journal or Parent Work: Journal of the Endocrine Society
• Volume: 4
• Issue: 9
• Start Page: bvaa098
• End Page: bvaa098
• Grant/Funding Information: This work is unfunded research. No honorarium grant or other form of payment was given to anyone to produce this manuscript.
• Keywords: national surveys; epidemiologic methods; puberty; growth charts; Height; ethnicity
• Research Categories: Health Sciences, Public Health; Health Sciences, Pharmacology; Health Sciences, Human Development

Abstract

Background and Objective Variations in normal pubertal development, pubertal disorders, and race/ethnicity can lead to differences in growth patterns and timing that are not captured by the Centers for Disease Control and Prevention (CDC) height-for-chronological age (CAHeight) charts. Therefore, we sought to develop new Tanner stage–adjusted height-for-age (TSAHeight) charts accounting for these differences. Study Design Population-based Tanner staging and anthropometric data for 13 358 children age 8 to 18 years from 3 large US national surveys: National Health Examination Surveys (NHES cycle III); the Hispanic Health and Nutrition Examination Surveys (HHANES) and the third National Health and Nutrition Examination Surveys (NHANES III) were analyzed. TSAHeight semi-parametric models with additive age splines were used to develop smoothed TSAHeight curves accounting for maturation stage and calendar age. Results As expected, the TSAHeight curves did not track along the respective percentile curves for the CDC 2000 CAHeight curves. We generated race/ethnicity–nonspecific and race/ethnicity–specific TSAHeight charts stratified by sex and plotted against the CDC 2000 CAHeight curves to account for the pubertal status differences between these models. An online calculator to adjust height for pubertal status was created. Conclusions TSAHeight charts provide a much-needed tool to assess and manage linear growth for US children over the course of puberty. These tools may be useful in clinical management of children with pubertal timing variations.