Literature DB >> 32543236

Estimating peak height velocity in individuals: a comparison of statistical methods.

Melanie E Boeyer1,2,3, Kevin M Middleton2, Dana L Duren1,2,3, Emily V Leary1,3.   

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.

Entities:  

Keywords:  Growth spurt; SITAR; growth trajectory; natural cubic spline; polynomial

Mesh:

Year:  2020        PMID: 32543236      PMCID: PMC7590904          DOI: 10.1080/03014460.2020.1763458

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  51 in total

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Journal:  Ann Hum Biol       Date:  1978-09       Impact factor: 1.533

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9.  Too many digits: the presentation of numerical data.

Authors:  T J Cole
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10.  Significance of peak height velocity as a predictive factor for curve progression in patients with idiopathic scoliosis.

Authors:  Masaaki Chazono; Takaaki Tanaka; Keishi Marumo; Katsuki Kono; Nobumasa Suzuki
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  3 in total

1.  Estimating peak height velocity in individuals: a response to Cole (2020).

Authors:  Melanie E Boeyer; Kevin M Middleton; Dana L Duren; Emily V Leary
Journal:  Ann Hum Biol       Date:  2020-11-12       Impact factor: 1.533

2.  Prepubertal BMI, pubertal growth patterns, and long-term BMI: Results from a longitudinal analysis in Chinese children and adolescents from 2005 to 2016.

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
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3.  Associations Between Thyroid Volume and Physical Growth in Pubertal Girls: Thyroid Volume Indexes Need to Be Applied to Thyroid Volume Assessments.

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Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-19       Impact factor: 5.555

  3 in total

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