Discriminant analysis of pubertal maturation in young males based on anthropometric characteristics
The relationship between anthropometric variables and maturation stages is important for a more detailed monitoring of pubertal development and may provide a suitable tool for clinical diagnosis. The aim of this study was to analyze the predictive contribution of anthropometric variables to pubertal...
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| creator | Medeiros, Radamés Maciel Vítor Arrais, Ricardo Fernando Azevedo, Jenner Chrystian Veríssimo de Medeiros, Jason Azevedo de Andrade, Ricardo Dias de Fonteles, André Igor Rêgo, Jeferson Tafarel Pereira do Dantas, Paulo Moreira Silva |
| description | The relationship between anthropometric variables and maturation stages is important for a more detailed monitoring of pubertal development and may provide a suitable tool for clinical diagnosis. The aim of this study was to analyze the predictive contribution of anthropometric variables to pubertal maturation using multivariate discriminant analysis. A total of 190 boys aged 8 to 18 years, from public and private schools in Natal, Brazil, participated in the study. Thirty-two anthropometric variables were measured and pubertal maturation was evaluated objectively by observing pubic hair development. Measures of central tendency and dispersion, inferential analysis of variance, and multivariate discriminant analysis were used for statistical analysis. Pubertal advancement was accompanied by significant changes in anthropometric variables (p |
| doi_str_mv | 10.6084/m9.figshare.20017440 |
| format | Dataset |
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The aim of this study was to analyze the predictive contribution of anthropometric variables to pubertal maturation using multivariate discriminant analysis. A total of 190 boys aged 8 to 18 years, from public and private schools in Natal, Brazil, participated in the study. Thirty-two anthropometric variables were measured and pubertal maturation was evaluated objectively by observing pubic hair development. Measures of central tendency and dispersion, inferential analysis of variance, and multivariate discriminant analysis were used for statistical analysis. Pubertal advancement was accompanied by significant changes in anthropometric variables (p<0.05). Discriminant analysis identified eight variables with a high predictive capacity of pubertal maturation: age, sitting height, biacromial breadth, acromiale-radiale, trochanterion-tibiale laterale and tibiale laterale bone lengths, and abdominal and forearm girths. The anthropometric variables showed a high correlation with the classification of pubertal maturation, demonstrating a high predictive level among them. 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The anthropometric variables showed a high correlation with the classification of pubertal maturation, demonstrating a high predictive level among them. 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The aim of this study was to analyze the predictive contribution of anthropometric variables to pubertal maturation using multivariate discriminant analysis. A total of 190 boys aged 8 to 18 years, from public and private schools in Natal, Brazil, participated in the study. Thirty-two anthropometric variables were measured and pubertal maturation was evaluated objectively by observing pubic hair development. Measures of central tendency and dispersion, inferential analysis of variance, and multivariate discriminant analysis were used for statistical analysis. Pubertal advancement was accompanied by significant changes in anthropometric variables (p<0.05). Discriminant analysis identified eight variables with a high predictive capacity of pubertal maturation: age, sitting height, biacromial breadth, acromiale-radiale, trochanterion-tibiale laterale and tibiale laterale bone lengths, and abdominal and forearm girths. 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| title | Discriminant analysis of pubertal maturation in young males based on anthropometric characteristics |
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