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

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Masana Yokoya ◽  
Yukito Higuchi

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.


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.


2017 ◽  
Vol 135 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Ricardo Ribeiro Agostinete ◽  
Igor Hideki Ito ◽  
Han Kemper ◽  
Carlos Marcelo Pastre ◽  
Mário Antônio Rodrigues-Júnior ◽  
...  

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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Hadi Nobari ◽  
Ana Ruivo Alves ◽  
Filipe Manuel Clemente ◽  
Jorge Pérez-Gómez ◽  
Cain C. T. Clark ◽  
...  

This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO2max), maximum and resting heart rate (HRmax and HRrest), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We additionally aimed to explain changes in fitness levels during the in-season through regression models, considering accumulated load, baseline levels, and peak height velocity (PHV) as predictors. Twenty-three male sub-elite soccer players aged 15.5 ± 0.2 years (PHV: 13.6 ± 0.4 years; body height: 172.7 ± 4.2 cm; body mass: 61.3 ± 5.6 kg; body fat: 13.7% ± 3.9%; VO2max: 48.4 ± 2.6 mL⋅kg–1⋅min–1), were tested three times across the season (i.e., early-season (EaS), mid-season (MiS), and end-season (EnS) for VO2max, HRmax, LSM, and LSS. Aerobic and speed variables gradually improved over the season and had a strong association with PHV. Moreover, the HRmax demonstrated improvements from EaS to EnS; however, this was more evident in the intermediate period (from EaS to MiS) and had a strong association with VO2max. Regression analysis showed significant predictions for VO2max [F(2,20) = 8.18, p ≤ 0.001] with an R2 of 0.45. In conclusion, the meaningful variation of youth players’ fitness levels can be observed across the season, and such changes can be partially explained by the load imposed.


2021 ◽  
Vol 74 (10) ◽  
pp. 2392-2399
Author(s):  
Aidyn G. Salmanov ◽  
Orusia A. Kovalyshyn ◽  
Roman S. Scoreiko ◽  
Victor M. Zinchenko ◽  
Serhiy M. Baksheev ◽  
...  

The aim: To determine current age at the initiation of puberty for Ukrainian school-aged girls and infections impact to puberty. Materias and methods: We performed a multicentre cohort study. The analyses are based on data that were collected and evaluated biannually on Ukrainian school girls aged 6-17 years from 5 regions of Ukraine. Pubertal development was classified according to the Marshall and Tanner criteria. Results: Overall, 2,784 girls have been included in the study. Mean age of onset of puberty in Ukrainian girls was 10.1±1.0 yrs. Age of onset of pubic hair was 11.0±1.0 yrs and that of axillary hair was 11.6±1.0 yrs. Mean age in girls of menarche was 12.2±0.9 yrs. There were no significant correlations between age at onset of puberty and body mass index, final height, total peak height velocity, duration of puberty, and peak height velocity. A total of 2,420 infectious diseases were diagnosted. Of these, 64.8% were viral and 35.2% bacterial infections, respectively. Ukrainian girls with infectious diseases (especially viral infections) had older age at pubertal onset and positive association of infections in childhood with late age of menarche. Conclusions: Infectious morbidity (especially viral infections) in girls may be associated with later puberty. The lowering of the number of infections in childhood could be an additional factor that contributes to earlier puberty. To reduce infectious diseases, more attention should be paid to the vaccination of children.


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.


Jurnal Gizi ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 10
Author(s):  
Romadhiyana Kisno Saputri ◽  
Akhmad Al-Bari ◽  
Ria Indah Kusuma Pitaloka

Adolescence is peak height velocity that affect changes in body composition, rapidgrowth on weight, bone mass, pysical activity and nutritional status. Overweight and lack ofphysical activity are risk factors of hyertension in adolescents. Overweight adolescents havea 4,85 times risk of developig hypertension compared to adolescents with normal nutritionalstatus. Lack of physical activity has 7,86 times the risk of developing hypertension thanadolescents with active physical activity. Hypertension in adolescents increase risk ofmorbidity and mortality in adults. This study aim to determine the correlation between nutritional status and physicalactivity with hypertension in adolescents. A quantitative research with cross sectional designwas developed.  Respondents in this study were 75  college students. Data analysis usingSpearman’s Correlation test. Proportion of obesity and overweight was 20%.  Physical activity of the respondentsbelongs to light category. The incidence of hypertension I 14,67% and hypertension II2,67%. Results shows that there was correlation between nutritional status and physicalactivity with hypertension in adolescents.Keywords :  nutritional status, physical activity, hypertension, adolescents  


2021 ◽  
Vol 26 (suppl 3) ◽  
pp. 5273-5280
Author(s):  
Danilo Rodrigues Pereira da Silva ◽  
André de Oliveira Werneck ◽  
Ricardo Ribeiro Agostinete ◽  
Afrânio de Andrade Bastos ◽  
Rômulo Araújo Fernandes ◽  
...  

Abstract Although changes have been observed in social relationships in the recent years, especially among younger generations, little evidence is available concerning factors associated with adolescents’ perceived social relationships. In this study we investigated the association between self-perceived social relationships, health-related behaviors, biological maturation, and mental health in adolescents. This is a cross-sectional study conducted with 1,336 adolescents (605 boys and 731 girls) aged between 10 to 17 years from public schools. Self-perceived social relationships (family, friends, and teachers), feelings of stress and sadness, academic performance, tobacco smoking, alcohol and fat consumption, physical activity, and screen time were evaluated by a questionnaire. Biological maturation was assessed by the peak height velocity. We observed that worse perceived social relationships were associated with tobacco smoking (family and teachers), alcohol drinking (teachers), higher consumption of fat (teachers), greater feelings of stress (family and teachers) and sadness (family and friends), and poor academic achievement (friends and teachers).


2021 ◽  
Vol 11 (21) ◽  
pp. 9894
Author(s):  
Isabel Fragoso ◽  
Sérgio Ramos ◽  
Júlia Teles ◽  
Anna Volossovitch ◽  
António Paulo Ferreira ◽  
...  

To estimate age at peak height velocity (APHV) in Portuguese male adolescents and; test the effect of maturational status in physical fitness attributes and individual game performance of U-14 basketball players. One mixed-longitudinal cohort with a sample of 439 Portuguese male adolescents and; one cross sectional sample of 172 Portuguese elite U-14 basketball players. The on-time group was defined within a 1-year band (more or less) from mean APHV. Preece-Baines model 1 was adopted to fit the mean stature curve. Independent samples t-tests and Kruskal-Wallis tests were performed and effect size (partial eta square) was calculated. The growth fitting revealed an APHV around 13.45 years for Portuguese male adolescents. Early maturing players exceeded significantly their peers in body size and composition, jump power and upper body strength. Early and on-time maturing players scored better in rebounds won per game (APHV = 13.81, 13.30 years), Performance Index Rating (PIR) and points scored per minute. Maturation influences morphology attributes and strength regardless of the APHV (13.81, 13.45, 13.30 years) used to obtain the cut-off points. It is recommended to use the new Portuguese mean APHV value to avoid extreme classifying bias groups.


Sign in / Sign up

Export Citation Format

Share Document