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

Boeyer, Melanie E; Middleton, Kevin M.; Duren, Dana L.; Leary, Emily

doi:10.1080/03014460.2020.1763458

Cited by 13 publications

(21 citation statements)

References 52 publications

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“…the three statistical methodologies assessed. We agree that when employed on a large longitudinal sample, the SITAR methodology exhibits the "'smallest overall' bias," which we note in the Discussion Section (Page 443, Line 9) of Boeyer et al (2020).…”

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confidence: 78%

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Choosing a statistical methodology for modelling human growth is an important decision for researchers and clinicians alike. In Boeyer et al (2020), we presented three common approaches for modelling childhood and adolescent growth (i.e. Natural Cubic Splines, SuperImposition by Translation and Rotation (SITAR), and Fifth Order Polynomials) with the primary aim to elucidate the advantages and disadvantages of each methodology.

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confidence: 99%

“…To properly assess statistical bias, a cross-validation analysis is needed. In Boeyer et al (2020), we performed a leave-one-out cross-validation analysis for each of…”

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confidence: 99%

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

Boeyer

Middleton

Duren

et al. 2020

Annals of Human Biology

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Choosing a statistical methodology for modelling human growth is an important decision for researchers and clinicians alike. In Boeyer et al. (2020), we presented three common approaches for modelling childhood and adolescent growth (i.e. Natural Cubic Splines, SuperImposition by Translation and Rotation (SITAR), and Fifth Order Polynomials) with the primary aim to elucidate the advantages and disadvantages of each methodology. In a recent Letter to the Editor, Cole (2020) challenged two specific aspects of this work, including: (1) interpretations related to the derived "population average" and individual-level random effects in the SITAR methodology, and (2) our conclusions regarding the use of the polynomial methodology in paediatric clinical practice.Cole (2020) objects to our interpretation of the "population average" derived from the SITAR methodology, which we defined in our publication as the single curve derived from the data of all individuals combined. This definition is consistent with the documentation for the sitar () function, which states that "sitar is a methodology that summarises a set of growth curves with a mean growth curve as a regression spline." Given this language, the regression curve applied is approximating the mean or, using our terminology, "population" average trajectory.Cole (2020) also claims that Table 1 in Boeyer et al. ( 2020) "confirms that the SITAR mean curve is unbiased," because the values for PHV and aPHV derived from the "mean" or population average curve are the same as the mean estimate for all individuals included in our analyses. It is true that the average values we report for PHV and aPHV at both the population and individual level are not statistically different, but this specific comparison does not indicate the lack of "bias" within this methodology; instead, it highlights its shapeinvariant structure. To properly assess statistical bias, a cross-validation analysis is needed. In Boeyer et al. (2020), we performed a leave-one-out cross-validation analysis for each of

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confidence: 78%

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confidence: 99%

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

Boeyer

Middleton

Duren

et al. 2020

Annals of Human Biology

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“…The landmarks of the pubertal events in girls are peak height velocity (PHV) and menarche. Menarche is a rather late event in puberty and usually occurs 6 months after PHV ( 34 ), which can be achieved at around 12 years old ( 35 ). Girls in the 11 to 12-year-old group were more likely to be in the early pubertal stage with less estrogen accumulation and lower baseline anthropometric characteristics values than the 13 to 14-year-old group.…”

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

Wang

Dong²,

et al. 2021

Front. Endocrinol.

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BackgroundThyroid volume (Tvol) is associated with many factors, but the current reference values for Tvol in children with sufficient iodine intake are inappropriate and need to be updated. Moderate changes in thyroid morphology and accentuated increases in body fat percentage occur during puberty as an adaption of the body and sexual development occurs. This study aimed to evaluate the influences of physical growth on Tvol and propose an easily applicable method for conducting Tvol assessments in pubertal girls with sufficient iodine intake.MethodsA cohort study was conducted on 481 pubertal girls in East China from 2017 to 2019. B-ultrasound was used to assess Tvol. Multiple linear regression models were used to estimate the associations of Tvol enlargement (dTvol) with changes in height (dH), weight (dW), waist circumference (dW), body mass index (dBMI), and body surface area (dBSA). Thyroid volume indexes (TVIs), including height thyroid volume index (HVI), weight and height thyroid volume index (WHVI), body mass index thyroid index (BMIV), and body surface area thyroid index (BSAV), were calculated to explore an appropriate method for Tvol assessments by Spearman correlation analyses.ResultsTvol, height, weight, BMI, and BSA increased significantly from baseline to follow-up (P<0.001). The associations between dTvol and physical growth were only observed in the 13 to 14-year-old group. dH, dW,dBMI, and dBSA were positively related to dTvol, with the maximum β of 5.74 (95%CI: 2.54 to 8.94) on dBSA, while dWC was negatively related to dTvol (β= -0.05, 95%CI: -0.08 to -0.03). Both dHVI and dBSAV were not associated with dH, dW, dBMI, or dBSA in both age groups (P>0.05).ConclusionsThyroid volume was associated with physical growth in pubertal girls in East China, both age and anthropometric measurements must be comprehensively considered to establish the reference values for Tvol. HVI, and BSAV may be better indicators for Tvol assessments in pubertal girls.

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“….cole@ucl.ac.ukThe paper byBoeyer et al (2020) is seriously flawed. It compares three ways to estimate peak height velocity (PHV) and its timing (aPHV) in individuals: my SITAR growth curve model(Cole et al 2010), a quintic curve and a cubic spline curve.…”

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confidence: 99%