Growth until Peak Height Velocity Occurs Rapidly in Early Maturing Adolescent Boys

Abstract

The timing and tempo of growth rate varies inter-individually during adolescence and can have an impact on athletic performance. This study aimed to determine the difference in growth rate for each maturity status. We combined data collected both retrospectively and prospectively from 78 adolescent boys aged 12 years old; growth charts were collected from their elementary school records, and the height of each participant was subsequently measured every six months over a period of two years. Take Off Age (TOA), Peak Height Velocity Age (PHVA), and Final Height Age (FHA) were estimated using the AUXAL 3.1 program. Growth Tempo 1 and 2 were calculated by dividing the height increase by the time difference between TOA and PHVA, and FHA, respectively. Our results showed three group differences based on the maturation status of PHVA: Growth Tempo 1 and 2 were both higher in the early than during middle and late maturation. Additionally, entering the height at each event as a covariate, the group differences for Growth Tempo 1 did not change; however, for Growth Tempo 2, group differences were eliminated. Therefore, we conclude that during early maturation, growth from TOA to PHVA occurs rapidly and in a shorter period.

The Relative-Age Effect in Male Japanese Football: A CrossSectional Analysis from Youth to Senior Competitive Level

“…Previous research has highlighted that this point is the peak for RAE [4,5]. Although there are individual differences, relatively younger players begin to catch up physically in the U17 age category and minimise anthropometric and physical differences Lovell, et al [11] as male players reach their adult height at the age of 16 and 17 [25]. This appears to further support for selection pressure as a key driver of the magnitude of the RAE [4,5].…”

Short Stature for Age in Children of 5 to 16 Years: The First Research from the Northern Himalayan Region of India

“…Prevalence was studied for various age groups; within the age group of 5–8 years, short stature was reported at 3.7% (23/623), which was the least in all age groups; this might be due to the smaller sample size, besides that low height velocity with environmental and genetic factors,[ 16 ] and it was 7.3% (138/1881) in the age group of 13–16 years, while in children in the age group of 9–12 years, 8% (135/1684) of short stature was found, which was the most significant proportion [ Table 3 ], and males have more short stature than females in this age group of 9–12 years because males attain late peak height velocity as compared to females. [ 17 ]…”

Prediction of Pubertal Mandibular Growth in Males with Class II Malocclusion by Utilizing Machine Learning

“…The strong predictive power of chronological age is inherently logical, given that the patients were situated within the circumpubertal age, a period characterized by accelerated growth and development. It is noteworthy that the algorithm likely detected the average peak height velocity, which typically transpires around the age of 14 years, enabling more accurate predictions [ 2 ]. Lower face height also contributed significantly to precise predictions.…”

“…The post-natal growth of the human mandible holds great significance within the field of orthodontics, as it boasts the highest growth potential among craniofacial structures [ 1 ]. The majority of mandibular growth takes place during adolescence, which coincides with the common treatment period for orthodontic patients [ 2 ]. Normal mandibular growth is typically observed in Class I patients, where the development of the mandible proceeds without significant deviations or abnormalities.…”