Literature DB >> 22150387

Prediction of adult height in girls: the Beunen-Malina-Freitas method.

Gaston P Beunen1, Robert M Malina, Duarte L Freitas, Martine A Thomis, José A Maia, Albrecht L Claessens, Elvio R Gouveia, Hermine H Maes, Johan Lefevre.   

Abstract

The purpose of this study was to validate and cross-validate the Beunen-Malina-Freitas method for non-invasive prediction of adult height in girls. A sample of 420 girls aged 10-15 years from the Madeira Growth Study were measured at yearly intervals and then 8 years later. Anthropometric dimensions (lengths, breadths, circumferences, and skinfolds) were measured; skeletal age was assessed using the Tanner-Whitehouse 3 method and menarcheal status (present or absent) was recorded. Adult height was measured and predicted using stepwise, forward, and maximum R (2) regression techniques. Multiple correlations, mean differences, standard errors of prediction, and error boundaries were calculated. A sample of the Leuven Longitudinal Twin Study was used to cross-validate the regressions. Age-specific coefficients of determination (R (2)) between predicted and measured adult height varied between 0.57 and 0.96, while standard errors of prediction varied between 1.1 and 3.9 cm. The cross-validation confirmed the validity of the Beunen-Malina-Freitas method in girls aged 12-15 years, but at lower ages the cross-validation was less consistent. We conclude that the Beunen-Malina-Freitas method is valid for the prediction of adult height in girls aged 12-15 years. It is applicable to European populations or populations of European ancestry.

Entities:  

Mesh:

Year:  2011        PMID: 22150387     DOI: 10.1080/02640414.2011.625969

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  2 in total

1.  The same growth pattern from puberty suggests that modern human diversity results from changes during pre-pubertal development.

Authors:  Jean-Claude Pineau; Fernando V Ramirez Rozzi
Journal:  Sci Rep       Date:  2021-03-01       Impact factor: 4.379

2.  Skeletal age prediction model from percentage of adult height in children and adolescents.

Authors:  Luis Alberto Flores Olivares; Lidia G De León; Maria Isabel Fragoso
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.