Enhancement of a Mathematical Model for Predicting Puberty Stage in Boys: A Cross-Sectional Study

被引:1
作者
de Almeida-Neto, Paulo Francisco [1 ,2 ]
Baxter-Jones, Adam Dominic George [3 ]
Arrais, Ricardo Fernando [1 ,4 ,5 ]
de Azevedo, Jenner Christian Verissimo [4 ]
Dantas, Paulo Moreira Silva [1 ,2 ]
Cabral, Breno Guilherme de Araujo Tinoco [1 ,2 ]
Medeiros, Radames Maciel Vitor [1 ,2 ]
机构
[1] Univ Fed Rio Grande do Norte, Hlth Sci Ctr, UFRN, Natal, RN, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Phys Educ, UFRN, Natal, RN, Brazil
[3] Univ Saskatchewan, Coll Kinesiol, Saskatoon, SK, Canada
[4] Univ Fed Rio Grande do Norte, Onofre Lopes Univ Hosp, UFRN, Natal, RN, Brazil
[5] Univ Fed Rio Grande do Norte, Pediat Dept, UFRN, Natal, RN, Brazil
关键词
adolescent; biological maturation; child; pediatrics; SELF-ASSESSMENT; MATURATION; GUIDELINES; MATURITY; PATTERN; HEALTH;
D O I
10.1002/ajhb.24193
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
Background: Previously, we developed a mathematical model capable of predicting pubertal development (PD) through seven anthropometric variables, with an accuracy of 75%. We believe that it is possible to develop a similar model that uses fewer anthropometric measurements and provides greater precision. Objective: Develop a mathematical model capable of predicting PD through anthropometric variables. Methods: We evaluated the anthropometric profile and PD by medical analysis in 203 boys (Age = 12.6 +/- 2.6). Subsequently, we divided the boys into groups: development (n = 121) and cross-validation (n = 82). Data from the development group were subjected to discriminant analysis to identify which anthropometric indicators would be potential predictors of PD. We subsequently developed an equation based on the indicated indicators and tested its validation using data from the cross-validation group. Results: Discriminant analyses showed that age and sitting-height were the variables with the greatest power to predict PD (p < 0.05). Consequently, the mathematical model was developed: Puberty-score = -17.357 + (0.603 x Age [years]) + (0.127 x Sitting-height [cm]). Based on the scores generated, we classified PD into stage-I (score <= -1.815), stage-II (score = -1.816 to -0.605), stage-III (score = -0.606 to 0.695), stage-IV (score = 0.696-3.410), and stage-V (score > 3.410). No differences were found between PD assessments performed by doctors and assessments using the mathematical model (p > 0.5). The prediction model showed high agreement (R-2 = 0.867; CCC = 0.899; ICC = 0.900; Kappa = 0.922; alpha-Krippendorff = 0.885; Bland-Altman LoAs = -2.0, 2.0; pure error = 0.0009) with accuracy of 82.8% and precision of 82%. Analyses in the cross-validation group confirmed the reliability of the prediction model. Conclusion: The developed mathematical model presents high reliability, validity and accuracy and precision above 80% for determining PD in boys.
引用
收藏
页数:9
相关论文
共 32 条
[1]   Comparison between objective assessment and self-assessment of sexual maturation in children and adolescents [J].
Azevedo, Jenner C. V. ;
Brasil, Lana M. P. ;
Macedo, Taisa B. M. A. ;
Pedrosa, Lucia F. C. ;
Arrais, Ricardo F. .
JORNAL DE PEDIATRIA, 2009, 85 (02) :135-142
[2]   Controlling for maturation in pediatric exercise science [J].
Baxter-Jones, ADG ;
Eisenmann, JC ;
Sherar, LB .
PEDIATRIC EXERCISE SCIENCE, 2005, 17 (01) :18-30
[3]  
Breehl L., 2021, PHYSIOLOGY
[4]  
Cabral BGDT, 2013, REV BRAS MED ESPORTE, V19, P99
[5]   Association between height growth patterns in puberty and stature in late adolescence: A longitudinal analysis in chinese children and adolescents from 2006 to 2016 [J].
Chen, Li ;
Su, Binbin ;
Zhang, Yi ;
Ma, Tao ;
Liu, Jieyu ;
Yang, Zhaogeng ;
Li, Yanhui ;
Gao, Di ;
Chen, Manman ;
Ma, Ying ;
Wang, Xijie ;
Wen, Bo ;
Jiang, Jun ;
Dong, Yanhui ;
Song, Yi ;
Ma, Jun .
FRONTIERS IN ENDOCRINOLOGY, 2022, 13
[6]   Conceptualizing Puberty as a Window of Opportunity for Impacting Health and Well-Being Across the Life Span [J].
Dorn, Lorah D. ;
Hostinar, Camelia E. ;
Susman, Elizabeth J. ;
Pervanidou, Panagiota .
JOURNAL OF RESEARCH ON ADOLESCENCE, 2019, 29 (01) :155-176
[7]  
Hair J. F., 2009, ANLISE MULTIVARIADA
[8]   Answering the Call for a Standard Reliability Measure for Coding Data [J].
Hayes, Andrew F. ;
Krippendorff, Klaus .
COMMUNICATION METHODS AND MEASURES, 2007, 1 (01) :77-89
[9]   MEASUREMENT OF OBSERVER AGREEMENT FOR CATEGORICAL DATA [J].
LANDIS, JR ;
KOCH, GG .
BIOMETRICS, 1977, 33 (01) :159-174
[10]   A CONCORDANCE CORRELATION-COEFFICIENT TO EVALUATE REPRODUCIBILITY [J].
LIN, LI .
BIOMETRICS, 1989, 45 (01) :255-268