ArticleAnnals of human biology2020
Estimating peak height velocity in individuals: a comparison of statistical methods.
Article in Annals of human biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Modeling Pubertal Growth Variability in Schoolchildren From Florianópolis, Santa Catarina, Brazil: A Bayesian Analysis.American journal of human biology : the official journal of the Human Biology Council · 2025Article
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- The combined effects of growth and maturity status on injury risk in an elite football academy.Biology of sport · 2024Article
- Cerebral blood flow and cerebrovascular reactivity are modified by maturational stage and exercise training status during youth.Experimental physiology · 2023Article
- Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton.Scientific reports · 2023Article
- Mismatches in youth sports talent development.Frontiers in sports and active living · 2023Article
- Prepubertal BMI, pubertal growth patterns, and long-term BMI: Results from a longitudinal analysis in Chinese children and adolescents from 2005 to 2016.European journal of clinical nutrition · 2022Article
- Associations Between Thyroid Volume and Physical Growth in Pubertal Girls: Thyroid Volume Indexes Need to Be Applied to Thyroid Volume Assessments.Frontiers in endocrinology · 2021Article
- Estimating peak height velocity in individuals: a response to Cole (2020).Annals of human biology · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEstimates 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.
aimThe 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
methodsHeight 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.
resultsIn 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.
conclusionEach 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.
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