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 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 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 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.

scholarly journals Hubungan Status Gizi dan Aktivitas Fisik dengan Kejadian Hipertensi Remaja

Jurnal Gizi ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 10
Author(s):  
Romadhiyana Kisno Saputri ◽  
Akhmad Al-Bari ◽  
Ria Indah Kusuma Pitaloka
Keyword(s):  
Physical Activity ◽  
Nutritional Status ◽  
Quantitative Research ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Increase Risk ◽  
Overweight Adolescents

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  

scholarly journals Self-perceived social relationships are related to health risk behaviors and mental health in 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 ◽  
...  
Keyword(s):  
Mental Health ◽  
Public Schools ◽  
Social Relationships ◽  
Tobacco Smoking ◽  
Health Risk Behaviors ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Biological Maturation

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).

scholarly journals The Study of Maturational Timing Effect in Elite Portuguese Adolescent Basketball Players: Anthropometric, Functional and Game Performance Implications

2021 ◽  
Vol 11 (21) ◽  
pp. 9894
Author(s):  
Isabel Fragoso ◽  
Sérgio Ramos ◽  
Júlia Teles ◽  
Anna Volossovitch ◽  
António Paulo Ferreira ◽  
...  
Keyword(s):  
Peak Height ◽  
Upper Body ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Basketball Players ◽  
Cross Sectional ◽  
Male Adolescents ◽  
Body Strength ◽  
Upper Body Strength ◽  
Game Performance

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.

scholarly journals Aptidão cardiorrespiratória em crianças e adolescentes

2019 ◽  
Vol 20 (6) ◽  
pp. 535-543
Author(s):  
Kenia Rejane de Oliveira Batista ◽  
Mona Gizelle Dreger de Oliveira ◽  
Carla Fabiane dos Santos Lemos ◽  
Josiene De Oliveira Couto ◽  
Nara Michelle Moura Soares ◽  
...  
Keyword(s):  
Cardiorespiratory Fitness ◽  
Age Groups ◽  
Peak Height ◽  
Cross Sectional Study ◽  
Height Velocity ◽  
Age Group ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Significance Level ◽  
And Gender

Cardiorespiratory fitness is an important health status indicator. The purpose of this study was to verify the cardiorespiratory fitness according to age group and gender in children and adolescents from Sergipe, Brazil. It is a cross-sectional study with sample consisting of 195 adolescents of both genders with mean age of 11.75 ± 3.0 years. For the characterization of participants, a questionnaire with age and gender identification designed by researchers was used. Subsequently, participants were submitted to anthropometric evaluation in order to estimate the maturational stage by means of the peak height velocity (PHV). The 20-meter back-and-forth test was used to estimate cardiorespiratory fitness. Two-way ANOVA was applied with sample divided into two groups (“up to 13 years” and “above 13 years”). Polynomial contrast was used to identify the type of tendency for cardiorespiratory fitness, and simple contrast for multiple comparisons. All procedures were performed using SPSS version 22.0 software, considering 5% significance level. In the “over 13 years” group, there was a significant effect on the cardiorespiratory capacity behavior according to “gender” [F(1, 45) = 5.54, p = 0.02, r = 0.33] and “age” [F(4.45) = 3.37, p = 0.02, r = 0.48]. The simple contrast identified increased cardiorespiratory fitness behavior in relation to age groups of 15 and 16 year when compared to the age group of 14 years. It was concluded that gender and age positively influence cardiorespiratory fitness from the maturational reference age in the study group.

scholarly journals Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maya van Gent ◽  
Anita Pienaar ◽  
Habib Noorbhai
Keyword(s):  
Nutritional Status ◽  
Statistical Significance ◽  
Age Groups ◽  
Peak Height ◽  
Height Velocity ◽  
Fat Percentage ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Kappa Agreement

Abstract Background The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional categories. Methods A cross-sectional study with a stratified random sampling included 601 rural boys (7–13 years old). Fat percentage criteria classification and BMI were calculated and compared. Maturity status, and age at peak height velocity (PHV) were indirectly determined. Statistical techniques included descriptive statistics, Pearson product correlation coefficients, the Kappa agreement test and the McNemar’s test. The level of statistical significance was set at p ≤ 0.05. Results All age groups presented with statistically significant high correlations between BMI and fat percentage, and low to medium correlations between fat percentage and maturity age (MA). Measurement of agreement between BMI and fat percentage classifications showed poor to fair agreements for all age groups, with the exception of the eight-year old group which presented a moderate agreement. Conclusions Classifications based on BMI and fat percentage, results in different classifications for the same population. Until further research has been done to determine the best classification for nutritional status, it is recommended that both classification methods be used for more accurate classification of nutritional status.

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