scholarly journals Growth in achondroplasia, from birth to adulthood, analysed by the JPA-2 model

2020 ◽  
Vol 33 (12) ◽  
pp. 1589-1595
Author(s):  
Mariana del Pino ◽  
Virginia Fano ◽  
Paula Adamo

AbstractObjectivesIn general population, there are three phases in the human growth curve: infancy, childhood and puberty, with different main factors involved in their regulation and mathematical models to fit them. Achondroplasia children experience a fast decreasing growth during infancy and an “adolescent growth spurt”; however, there are no longitudinal studies that cover the analysis of the whole post-natal growth. Here we analyse the whole growth curve from infancy to adulthood applying the JPA-2 mathematical model.MethodsTwenty-seven patients, 17 girls and 10 boys with achondroplasia, who reached adult size, were included. Height growth data was collected from birth until adulthood. Individual growth curves were estimated by fitting the JPA-2 model to each individual’s height for age data.ResultsHeight growth velocity curves show that after a period of fast decreasing growth velocity since birth, with a mean of 9.7 cm/year at 1 year old, the growth velocity is stable in late preschool years, with a mean of 4.2 cm/year. In boys, age and peak height velocity in puberty were 13.75 years and 5.08 cm/year and reach a mean adult height of 130.52 cm. In girls, the age and peak height velocity in puberty were 11.1 years and 4.32 cm/year and reach a mean adult height of 119.2 cm.ConclusionsThe study of individual growth curves in achondroplasia children by the JPA-2 model shows the three periods, infancy, childhood and puberty, with a similar shape but lesser in magnitude than general population.

2018 ◽  
Vol 33 (12) ◽  
pp. 762-766 ◽  
Author(s):  
Nicholas R. Zessis ◽  
Feng Gao ◽  
Gayathri Vadlamudi ◽  
David H. Gutmann ◽  
Abby S. Hollander

Previous studies have suggested that children with neurofibromatosis type 1 are shorter than their unaffected counterparts as an effect of a germline NF1 gene mutation. The pathophysiology of this effect is still uncertain. The purpose of this study was to characterize longitudinal growth in children with neurofibromatosis type 1 in order to assess growth velocity and its influence on stature. Longitudinal height data were collected for 188 patients with a confirmed clinical diagnosis of neurofibromatosis type 1. Children with neurofibromatosis type 1 had population mean heights statistically different from the general population, with a reduced peak height velocity during pubertal growth. In addition, there were no significant differences in the timing of peak height velocity during puberty between the general population and those with neurofibromatosis type 1. These data demonstrate that short stature in neurofibromatosis type 1 is due in part to subnormal height acquisition during puberty.


PEDIATRICS ◽  
1998 ◽  
Vol 102 (Supplement_3) ◽  
pp. 507-511 ◽  
Author(s):  
Val Abbassi

We reviewed the growth characteristics of American boys and girls from published studies, including age at takeoff, age at peak height velocity, peak height velocity, duration of puberty, and the magnitude of the pubertal contribution to adult height. Age at takeoff is highly variable and sex-dependent. The mean takeoff age in children growing at an average rate is ∼11 years in boys and 9 years in girls, and peak height velocity occurs at a mean age of 13.5 years and 11.5 years, respectively, in these children. Whole-year peak height velocity is 9.5 cm/y in boys and 8.3 cm/y in girls, with slight variations in the different studies. The contribution of pubertal growth to final height is ∼30 to 31 cm in boys, accounting for 17% to 18% of the final height, and 27.5 to 29 cm in girls, accounting for 17% of the final height. The magnitude of pubertal growth has a negative correlation with age at takeoff, but no correlation with final height. Age at takeoff, however, correlates highly with pubertal stage, but correlates negatively with duration of puberty.


Author(s):  
Robert M. Malina ◽  
Diogo V. Martinho ◽  
João Valente-dos-Santos ◽  
Manuel J. Coelho-e-Silva ◽  
Sławomir M. Kozieł

Reported mean ages, heights and weights of female soccer players aged <19 years in 161 studies spanning the years 1992–2020 were extracted from the literature or calculated from data available to the authors; 35 studies spanning the years 1981–2020 also included an indicator of biological maturation. Heights and weights were plotted relative to U.S. reference data. Preece–Baines Model 1 was fitted to moving averages to estimate ages at peak velocity. Maturity indicators included skeletal age, pubertal status, age at menarche, percentage of predicted adult height and predicted maturity offset. Heights and weights showed negligible secular variation across the time interval. Heights were slightly above or approximated the reference medians through 14 years old and then varied between the medians and 75th percentiles through 18 years old. Weights were above the reference medians from 9 to 18 years old. Mean ages at menarche ranged from 12.7 to 13.0 years. The trend in heights and weights suggested the persistence and/or selection of taller and heavier players during adolescence, while estimated age at peak height velocity (PHV) and ages at menarche were within the range of mean ages in European and North American samples. Data for skeletal and sexual maturity status were limited; predicted maturity offset increased linearly with mean ages and heights at prediction.


2020 ◽  
Vol 42 (6) ◽  
pp. 612-618
Author(s):  
Louise Miltenburg Caspersen ◽  
Liselotte Sonnesen

Summary Background/Objectives The aims were to study the presence of a secular trend in (a) age at peak height velocity (PHV), (b) velocity at PHV, and (c) duration of skeletal maturation in relation to PHV. Material/Method Two groups of children: 100 children (63 boys, 37 girls) born between 1969–1973 and 71 children (49 boys, 22 girls) born between 1996 and 2000, were compared. Age and velocity at PHV were measured on individual growth velocity curves. Skeletal maturation stages were assessed on hand-wrist radiographs, and duration from the skeletal maturation stages to PHV was determined. Results Age at PHV occurred significantly earlier (0.47 years, CI 95% 0.19–0.76, P &lt; 0.001), and velocity at PHV was significantly higher (0.68 cm/year, CI 95% 1.47–2.06, P &lt; 0.003) in children born 1996–2000 compared to 1969–1973. No significant difference in duration of skeletal maturation was seen between the groups. Skeletal maturation stages occurred significantly in the following order before PHV for both genders: PP2= 2.18 years (P = 0.002), MP3= 1.60 year (P = 0.008), S 1.07 year (P = 0.003), and MP3cap 0.38 year (P = 0.037). Limitations Most radiographs were taken before PHV, the duration thus mainly reflects the early event of pubertal growth spurt. Conclusion A secular trend was evident: significantly decreased age at PHV and significantly increased velocity at PHV. No evidence of a secular trend regarding duration of the skeletal maturation in relation to PHV was found. Due to the declining age at PHV, the skeletal maturation stages occurred earlier in relation to chronological age.


2017 ◽  
Author(s):  
Masana Yokoya

Background. The aim of this study was to elucidate the effect of geographical differences in the age at peak height velocity (APHV) and height at peak height velocity (HPHV) on final height, at a prefectural level, and to evaluate the current average height status of 47 prefectures in Japan. Methods. We elucidated the association between the geographical differences in a prefectural-level cross-sectional population-based infancy-childhood-puberty (ICP) growth curve, derived from prefectural mean height data (age: 5-17 years, 2006-2013), APHV and HPHV, for final height. Results. The correlation between the APHV and final height was very weak; however, the results of a multiple regression analysis showed that the final height of each prefecture can be accurately predicted based on the APHV and HPHV. This result showed that the earlier the APHV and higher the HPHV, the higher the final height. An earlier APHV reduced the height gain in the puberty component; however, this did not reduce the final height. Discussion. From the perspective of the average value of each prefecture, in the present situation, the effect of an earlier APHV in increasing the amount of growth of the childhood component exceeded its effect in reducing the growth of the puberty component. In short, the final height of the prefectures depends on how large the height growth is in the early stages of childhood. However, the HPHV tended to be region-specific, and it is unlikely that it can increase the average height in this population in the future.


2017 ◽  
Author(s):  
Masana Yokoya

Background. The aim of this study was to elucidate the effect of geographical differences in the age at peak height velocity (APHV) and height at peak height velocity (HPHV) on final height, at a prefectural level, and to evaluate the current average height status of 47 prefectures in Japan. Methods. We elucidated the association between the geographical differences in a prefectural-level cross-sectional population-based infancy-childhood-puberty (ICP) growth curve, derived from prefectural mean height data (age: 5-17 years, 2006-2013), APHV and HPHV, for final height. Results. The correlation between the APHV and final height was very weak; however, the results of a multiple regression analysis showed that the final height of each prefecture can be accurately predicted based on the APHV and HPHV. This result showed that the earlier the APHV and higher the HPHV, the higher the final height. An earlier APHV reduced the height gain in the puberty component; however, this did not reduce the final height. Discussion. From the perspective of the average value of each prefecture, in the present situation, the effect of an earlier APHV in increasing the amount of growth of the childhood component exceeded its effect in reducing the growth of the puberty component. In short, the final height of the prefectures depends on how large the height growth is in the early stages of childhood. However, the HPHV tended to be region-specific, and it is unlikely that it can increase the average height in this population in the future.


Author(s):  
Robert M Malina

The processes of growth and maturation occur concurrently and are related. Chapter 1 discusses indicators of growth status and rate followed by a description of methods for assessment of maturity status and timing. Status refers to the state of maturation at the time of observation. Skeletal age and stages of puberty indicate status. Timing refers to the chronological age at which specific maturational events occur. Ages at peak height velocity (PHV) and at menarche are used most often. Skeletal age is applicable from childhood through adolescence; other indicators of status and timing are limited to the interval of puberty and the growth spurt. Increasingly used non-invasive indicators of maturation include percentage of predicted adult height attained at the time of observation (status) and predicted maturity offset or time before age at PHV (timing). Both have limitations and require further validation.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Nis Brix ◽  
Andreas Ernst ◽  
Lea Lykke Braskhøj Lauridsen ◽  
Erik Thorlund Parner ◽  
Onyebuchi A. Arah ◽  
...  

Abstract Background Earlier pubertal timing has been observed in many countries. We aimed to explore if prenatal exposure to maternal obesity, smoking, and alcohol intake was associated with timing of puberty by use of a novel marker of pubertal timing: ‘the height difference in standard deviations’ (HD:SDS). Methods HD:SDS is the difference between pubertal height in standard deviations and adult height in standard deviations, and it correlates well with age at peak height velocity. Pubertal height was measured by health care professionals at approximately 13 years in boys and 11 years in girls, and the children’s adult height was predicted from parental height reported by the mothers during pregnancy. Information on HD:SDS was available for 42,849 of 56,641 eligible boys and girls from the Danish National Birth Cohort born 2000–2003. In a subsample, HD:SDS was validated against age at the following self-reported pubertal milestones: Tanner stages, menarche, first ejaculation, voice break, acne, and axillary hair. Prenatal exposures were reported by mothers during pregnancy. Results HD:SDS correlated moderately with the pubertal milestones considered (correlation coefficients: − 0.20 to − 0.53). With normal weight (body mass index (BMI): 18.5–24.9 kg/m2) as the reference, maternal pre-pregnancy obesity (BMI: 30.0+ kg/m2) was associated with earlier pubertal timing: 0.23 (95% confidence interval (CI): 0.18, 0.28) higher HD:SDS in boys and 0.19 (95% CI, 0.14, 0.24) higher HD:SDS in girls. Maternal smoking was not associated with pubertal timing. Compared to alcohol abstainers, maternal intake of > 3 units of alcohol weekly was associated with later puberty in boys only: 0.14 (95% CI, 0.05, 0.24) lower HD:SDS. Conclusion As correlations between HD:SDS and the considered pubertal milestones were comparable to those reported in the literature between age a peak height velocity and the considered pubertal milestones, the validity of HD:SDS seems acceptable. Maternal pre-pregnancy obesity was associated with earlier pubertal timing in both sexes, and maternal alcohol intake during pregnancy was associated with later pubertal timing in boys. Maternal smoking has been linked to earlier timing of puberty, but this was not replicated in our setting using HD:SDS as a marker of pubertal timing.


1984 ◽  
pp. 311-318 ◽  
Author(s):  
H. C. G. Kemper ◽  
Lucienne Storm-van Essen ◽  
M. A. van ‘t Hof

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