Melanie E Boeyer1,2,3, Kevin M Middleton2, Dana L Duren1,2,3, Emily V Leary1,3. 1. Department of Orthopaedic Surgery, Missouri Orthopaedic Institute, University of Missouri, Columbia, MO, USA. 2. Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO, USA. 3. Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, MO, USA.
Abstract
BACKGROUND: Estimates pertaining to the timing of the adolescent growth spurt (e.g. peak height velocity; PHV), including age at peak height velocity (aPHV), play a critical role in the diagnosis, treatment, and management of skeletal growth and/or developmental disorders. Yet, distinct statistical methodologies often result in large estimate discrepancies. AIM: The aim of the present study was to assess the advantages and disadvantages of three modelling methodologies for height as well as to determine how estimates derived from these methodologies may differ, particularly those that may be useful in paediatric clinical practice. SUBJECTS AND METHODS: Height data from 686 individuals of the Fels Longitudinal Study were modelled using 5th order polynomials, natural cubic splines, and SuperImposition by Translation and Rotation (SITAR) to determine aPHV and PHV for all individuals together (i.e. population average) by sex and separately for each individual. Estimates within and between methodologies were calculated and compared. RESULTS: In general, mean aPHV was earlier, and PHV was greater for individuals when compared to estimates from population average models. Significant differences between mean aPHV and PHV for individuals were observed in all three methodologies, with SITAR exhibiting the latest aPHV and largest PHV estimates. CONCLUSION: Each statistical methodology has a number of advantages when used for specific purposes. For modelling growth in individuals, as one would in paediatric clinical practice, we recommend the use of the 5th order polynomial methodology due to its parameter flexibility.
BACKGROUND: Estimates pertaining to the timing of the adolescent growth spurt (e.g. peak height velocity; PHV), including age at peak height velocity (aPHV), play a critical role in the diagnosis, treatment, and management of skeletal growth and/or developmental disorders. Yet, distinct statistical methodologies often result in large estimate discrepancies. AIM: The aim of the present study was to assess the advantages and disadvantages of three modelling methodologies for height as well as to determine how estimates derived from these methodologies may differ, particularly those that may be useful in paediatric clinical practice. SUBJECTS AND METHODS: Height data from 686 individuals of the Fels Longitudinal Study were modelled using 5th order polynomials, natural cubic splines, and SuperImposition by Translation and Rotation (SITAR) to determine aPHV and PHV for all individuals together (i.e. population average) by sex and separately for each individual. Estimates within and between methodologies were calculated and compared. RESULTS: In general, mean aPHV was earlier, and PHV was greater for individuals when compared to estimates from population average models. Significant differences between mean aPHV and PHV for individuals were observed in all three methodologies, with SITAR exhibiting the latest aPHV and largest PHV estimates. CONCLUSION: Each statistical methodology has a number of advantages when used for specific purposes. For modelling growth in individuals, as one would in paediatric clinical practice, we recommend the use of the 5th order polynomial methodology due to its parameter flexibility.
Authors: E Borghi; M de Onis; C Garza; J Van den Broeck; E A Frongillo; L Grummer-Strawn; S Van Buuren; H Pan; L Molinari; R Martorell; A W Onyango; J C Martines Journal: Stat Med Date: 2006-01-30 Impact factor: 2.373
Authors: Yanhui Li; Di Gao; Jieyu Liu; Zhaogeng Yang; Bo Wen; Li Chen; Manman Chen; Ying Ma; Tao Ma; Bin Dong; Yi Song; Sizhe Huang; Yanhui Dong; Jun Ma Journal: Eur J Clin Nutr Date: 2022-05-06 Impact factor: 4.884