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Tomohiko TATEISHI7), Hiroshi IKEDA7), Masafumi YOSHIMURA1)2)JFA Academy Fukushima, Tokyo, Japan6)Japan Institute of Sports Sciences, Tokyo, Japan5)Faculty of Health Science, Juntendo University, Tokyo, Japan1)Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan4)Department of Orthopaedic Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan3)Innovative Medical Technology Research & Development Center, Juntendo University, Tokyo, Japan7)Medical Committee, Japan Football Association, Tokyo, JapanTakayuki ANDO1, 2), Masashi NAGAO1, 3, 4), Takayuki MIYAMORI1, 5), Michiko DOHI6, 7), Elite Football Players and Developing a New Model222Corresponding author: Masashi NagaoGraduate school of health and sports science, Juntendo University1-1 hirakagakuendai, inzai-si, Chiba 270-1695, JapanTEL: +81-476-98-1001　E-mail: nagao@juntendo.ac.jp〔Received　Dec. 14, 2021〕〔Accepted　Jan. 14, 2022〕J-STAGE Advance published date: Jun. 2, 2022Copyright © 2022 The Juntendo Medical Society. This is an open access article distributed under the terms of Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original source is properly credited. doi: 10.14789/jmj.JMJ21-0053-OAObjective: This study aimed to assess the accuracy of previously developed height prediction models in male Japanese football players and create new height prediction models.Materials: The participants were elite academy male football players. We collected current height, parent’s height, calendar age and bone age in 6th grade of primary school and obtained actual final height at 20 to 28 years old.Methods: We compared the accuracy of two conventional models for predicting final height. These used current height, calendar age and either bone age (Model 1) or parental height (Model 2). We then developed a new model to optimize the coefficients of Model 1 (Model 3). The final model added parental height to Model 3 and optimized the coefficients (Model 4).Results: Prediction accuracy was higher for Model 2 (R = 0.52, P < 0.001) than Model 1 (p = 0.33, P < 0.001). The equation of Model 3 was final height = 0.63229313×actual measured height−8.2541327×calendar age−2.3009853×bone age (TW2)+206.627184. The R-square was 0.49 (P < 0.0001). The equation of Model 4 was final height = 0.32156081×actual measured height− 4.6652063×calendar age+0.41903909×father’s height+0.34952508×mother’s height−0.740469×bone age(TW2)+62.1007751. The R-square was 0.61 (P < 0.0001).Conclusions: In the two previous conventional models, a formula using parental height had better predictive accuracy. We developed a new height prediction model using current height, calendar age, father’s and mother’s height and bone age. Key words: height prediction, bone age, tanner whitehouse 2, footballJuntendo Medical Journal2022. 68(3), 222-227Original ArticlesComparing Accuracy of the Final Height Prediction Models for IntroductionIn some competitive sports, efforts have been made to predict future height. There have been various reports of positive correlations between height and athletic performance1-3). Assessing athletic potential based on skeletal development, such as predicting future height, is therefore consid-ered an important factor in estimating athletic talent.Current methods of predicting final height from a single time point include models estimated with bone age and parents’ height. Bone age, which measures biological bone maturity, is estimated in three ways: the numerical method4), the qualitative