A new family of mathematical models describing the human growth curve—Erratum: Direct calculation of peak height velocity, age at take-off and associated quantities

2013 ◽  
Vol 40 (3) ◽  
pp. 298-299 ◽  
Author(s):  
Adrian Sayers ◽  
Mike Baines ◽  
Kate Tilling
Keyword(s):  
Mathematical Models ◽  
Growth Curve ◽  
Human Growth ◽  
Direct Calculation ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
New Family

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
Keyword(s):  
General Population ◽  
Growth Curve ◽  
Growth Velocity ◽  
Adult Height ◽  
Growth Curves ◽  
Peak Height ◽  
Height Growth ◽  
Individual Growth ◽  
Height Velocity ◽  
Peak Height Velocity

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.

scholarly journals Changes in the Growth and Development of Adolescents in a Country in Socio-Economic Transition 1993–2013

2020 ◽  
Vol 59 (3) ◽  
pp. 164-171
Author(s):  
Tatjana Robič Pikel ◽  
Tina Malus ◽  
Gregor Starc ◽  
Petra Golja
Keyword(s):  
Environmental Factors ◽  
Motor Development ◽  
Growth And Development ◽  
Economic Transition ◽  
Body Height ◽  
Somatic Growth ◽  
Human Growth ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity

AbstractIntroductionChanges in human growth and development depend on genetic and environmental factors. In the case of Slovenia, the environmental factors changed as a result of the period of socio-economic transition that the country underwent between 1991 and 2013. The authors used anthropometric techniques to evaluate differences in body height, proportions and sexual maturity in 1,221 adolescents aged 14 in 1993, 2003 and 2013.MethodsData was collected as a part of the ACDSi study, which has monitored children’s somatic growth and motor development every decade over the last 40 years.ResultsBetween 1993 and 2013, a trend (p=0.08) towards increased body height was observed in males. The comparison of age at peak height velocity (PHV) between generations demonstrated a trend (p=0.07) of earlier entry into puberty in adolescents in 2013 compared to those in 1993. The leg-to-body height ratio increased (p<0.05) with every decade in males, while in females it decreased (p<0.05) in 2013. Similar trends were observed in the leg-to-trunk ratio. Contemporary generations experienced PHV at a younger age (p<0.05), which is true for both genders even in adolescents born no more than two decades (1993 (2013) apart. In both generations, females experienced PHV sooner than their male peers.ConclusionThe authors assume that females of the 2013 generation reached puberty earlier than females of older generations. It is most likely that, unlike females from older generations and unlike males, they were already at the stage of trunk growth at the time of the measurements, which explains the observed changes in their trunk length, leg-to-body height and leg-to-trunk ratios in comparison to earlier generations.

scholarly journals Geographical differences in the effects of age and height at peak height velocity on final body height: An analysis of a population-based cross-sectional growth curve in Japan

2017 ◽  
Author(s):  
Masana Yokoya
Keyword(s):  
Growth Curve ◽  
Final Height ◽  
Body Height ◽  
Population Based ◽  
Peak Height ◽  
Height Velocity ◽  
Average Height ◽  
Peak Height Velocity ◽  
Geographical Differences ◽  
Cross Sectional

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.

scholarly journals Geographical differences in the effects of age and height at peak height velocity on final body height: An analysis of a population-based cross-sectional growth curve in Japan

2017 ◽  
Author(s):  
Masana Yokoya
Keyword(s):  
Growth Curve ◽  
Final Height ◽  
Body Height ◽  
Population Based ◽  
Peak Height ◽  
Height Velocity ◽  
Average Height ◽  
Peak Height Velocity ◽  
Geographical Differences ◽  
Cross Sectional

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.

scholarly journals Geographical Differences in the Population-Based Cross-Sectional Growth Curve and Age at Peak Height Velocity with respect to the Prevalence Rate of Overweight in Japanese Children

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Masana Yokoya ◽  
Yukito Higuchi
Keyword(s):  
Growth Curve ◽  
Prevalence Rate ◽  
Population Based ◽  
Peak Height ◽  
Height Velocity ◽  
Dominant Factor ◽  
Health Examination ◽  
Peak Height Velocity ◽  
Geographical Differences ◽  
Cross Sectional

The School Health Examination Survey is a nationwide examination carried out annually in Japan, and the results are entered into a prefectural-level physical measurement database. We used this database to determine the geographical differences in a population-based cross-sectional growth curve and investigated the association between age at peak height velocity (PHV) and the prevalence rate of overweight in children among Japanese prefectures. Mean prefectural-level age at PHV was estimated by the cubic spline-fitting procedure using cross-sectional whole-year prefectural mean height data (5–17 years, 2006–2013), and 8-year (2006–2013) means of the standardized prevalence rates of overweight children and other anatomical data (8-year standardized weight and height) were recalculated. Mean prefectural age at PHV was more strongly correlated with the mean prefectural prevalence rate of overweight (age 5–8 years) than with other weights or heights in both sexes. On the basis of these findings and their confirmation by multiple regression analysis, the prevalence rate of overweight was selected as a primary factor to explain the geographical difference in age at PHV. These findings suggest that childhood overweight is a dominant factor responsible for the observed geographical differences in onset of puberty in Japan.

scholarly journals Breakfast: A Crucial Meal for Adolescents’ Cognitive Performance According to Their Nutritional Status. The Cogni-Action Project

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1320
Author(s):  
Humberto Peña-Jorquera ◽  
Valentina Campos-Núñez ◽  
Kabir P. Sadarangani ◽  
Gerson Ferrari ◽  
Carlos Jorquera-Aguilera ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Cognitive Performance ◽  
Cognitive Demand ◽  
Positive Association ◽  
Peak Height ◽  
The Body ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
High Quality ◽  
Action Project

This study aimed to determine whether pupils who have breakfast just before a cognitive demand, do not regularly skip breakfast, and consume a high-quality breakfast present higher cognitive performance than those who do not; furthermore, to establish differences according to their nutritional status. In this study, 1181 Chilean adolescents aged 10–14 years participated. A global cognitive score was computed through eight tasks, and the body mass index z-score (BMIz) was calculated using a growth reference for school-aged adolescents. The characteristics of breakfast were self-reported. Analyses of covariance were performed to determine differences in cognitive performance according to BMIz groups adjusted to sex, peak height velocity, physical fitness global score, and their schools. A positive association was found in adolescents’ cognitive performance when they had breakfast just before cognitive tasks, did not regularly skip breakfast, presented at least two breakfast quality components, and included dairy products. No significant differences were found between breakfast components, including cereal/bread and fruits/fruit juice. Finally, pupils who were overweight/obese who declared that they skipped breakfast regularly presented a lower cognitive performance than their normal-BMIz peers. These findings suggest that adolescents who have breakfast just prior to a cognitive demand and regularly have a high quality breakfast have better cognitive performance than those who do not. Educative nutritional strategies should be prioritized, especially in “breakfast skippers” adolescents living with overweight/obesity.

scholarly journals Biological maturity and the anthropometric, physical and technical assessment of talent identified U16 Australian footballers

2017 ◽  
Vol 12 (3) ◽  
pp. 344-350 ◽  
Author(s):  
Ashley J Cripps ◽  
Christopher Joyce ◽  
Carl T Woods ◽  
Luke S Hopper
Keyword(s):  
Characteristic Curve ◽  
Vertical Jump ◽  
Binary Logistic Regression ◽  
Peak Height ◽  
Technical Skill ◽  
Height Velocity ◽  
State Representation ◽  
Peak Height Velocity ◽  
Biological Maturation ◽  
Australian Football

This study compared biological maturation, anthropometric, physical and technical skill measures between talent and non-talent identified junior Australian footballers. Players were recruited from the under 16 Western Australian Football League and classified as talent (state representation; n = 25, 15.7 ± 0.3 y) or non-talent identified (non-state representation; n = 25, 15.6 ± 0.4 y). Players completed a battery of anthropometric, physical and technical skill assessments. Maturity was estimated using years from peak height velocity calculations. Binary logistic regression was used to identify the variables demonstrating the strongest association with the main effect of ‘status’. A receiver operating characteristic curve was used to assess the level of discrimination provided by the strongest model. Talent identified under 16 players were biologically older, had greater stationary and dynamic leaps and superior handball skill when compared to their non-talent identified counterparts. The strongest model of status included standing height, non-dominant dynamic vertical jump and handball outcomes (AUC = 83.4%, CI = 72.1%–95.1%). Biological maturation influences anthropometric and physical capacities that are advantageous for performance in Australian football; talent identification methods should factor biological maturation as a confound in the search for junior players who are most likely to succeed in senior competition.

scholarly journals Somatic maturation and the relationship between bone mineral variables and types of sports among adolescents: cross-sectional study

2017 ◽  
Vol 135 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Ricardo Ribeiro Agostinete ◽  
Igor Hideki Ito ◽  
Han Kemper ◽  
Carlos Marcelo Pastre ◽  
Mário Antônio Rodrigues-Júnior ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Peak Height ◽  
Cross Sectional Study ◽  
Height Velocity ◽  
Whole Body ◽  
Sectional Study ◽  
Peak Height Velocity ◽  
Mineral Density ◽  
Cross Sectional

ABSTRACT CONTEXT AND OBJECTIVE: Peak height velocity (PHV) is an important maturational event during adolescence that affects skeleton size. The objective here was to compare bone variables in adolescents who practiced different types of sports, and to identify whether differences in bone variables attributed to sports practice were dependent on somatic maturation status. DESIGN AND SETTING: Cross-sectional study, São Paulo State University (UNESP). METHODS: The study was composed of 93 adolescents (12 to 16.5 years old), divided into three groups: no-sport group (n = 42), soccer/basketball group (n = 26) and swimming group (n = 25). Bone mineral density and content were measured using dual-energy x-ray absorptiometry and somatic maturation was estimated through using peak height velocity. Data on training load were provided by the coaches. RESULTS: Adolescents whose PHV occurred at an older age presented higher bone mineral density in their upper limbs (P = 0.018). After adjustments for confounders, such as somatic maturation, the swimmers presented lower values for bone mineral density in their lower limbs, spine and whole body. Only the bone mineral density in the upper limbs was similar between the groups. There was a negative relationship between whole-body bone mineral content and the weekly training hours (β: -1563.967; 95% confidence interval, CI: -2916.484 to -211.450). CONCLUSION: The differences in bone variables attributed to sport practice occurred independently of maturation, while high training load in situations of hypogravity seemed to be related to lower bone mass in swimmers.

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