American journal of human biology : the official journal of the Human Biology Council · 2023
Longitudinal growth of stature in boys according to age and puberty: Prediction of adult stature from the age of 13 years.
СтатьяНазвание и аннотация: Перевод в очереди
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Pineau Jean-Claude
Аннотация
BACKGROUND: The purpose of this study was to cross-validate and demonstrate how adult stature can be predicted in 13-year-old teenager's boys by using a new reference specific growth curve obtained from chronological age and maturity.
METHODS: Stature measurements of 125 boys aged from 12 to 17.5 years were obtained over a period of five consecutive years. The maturity was based on the age of peak height velocity (APHV). An assessment of secondary pubertal stages using a simplification of the Tanner stages was also carried out. We found a connection between the secondary pubertal stage and the APHV. We carried out a prediction of the adult stature of 67 teenagers aged from 160 and 164 months.
RESULTS: Significant differences between APHV enabled us to classify the adolescents into three categories according to their biological maturity: 19% of adolescents with advanced puberty, 62% with standard puberty and 19% with delayed puberty. The mean growth curves were used to predict the adult stature of 67 individuals with a good accuracy (±3 cm). The mean differences between predicted and real adult stature are -0.11 cm with 95% limits of agreement of [-3.2; + 2.8 cm].
CONCLUSIONS: The new stature growth curves developed from age and maturation enables us to accurately track individual growth kinetics.
METHODS: Stature measurements of 125 boys aged from 12 to 17.5 years were obtained over a period of five consecutive years. The maturity was based on the age of peak height velocity (APHV). An assessment of secondary pubertal stages using a simplification of the Tanner stages was also carried out. We found a connection between the secondary pubertal stage and the APHV. We carried out a prediction of the adult stature of 67 teenagers aged from 160 and 164 months.
RESULTS: Significant differences between APHV enabled us to classify the adolescents into three categories according to their biological maturity: 19% of adolescents with advanced puberty, 62% with standard puberty and 19% with delayed puberty. The mean growth curves were used to predict the adult stature of 67 individuals with a good accuracy (±3 cm). The mean differences between predicted and real adult stature are -0.11 cm with 95% limits of agreement of [-3.2; + 2.8 cm].
CONCLUSIONS: The new stature growth curves developed from age and maturation enables us to accurately track individual growth kinetics.