Literature DB >> 19919500

Cross-validation of the Beunen-Malina method to predict adult height.

Gaston P Beunen1, Robert M Malina, Duarte I Freitas, José A Maia, Albrecht L Claessens, Elvio R Gouveia, Johan Lefevre.   

Abstract

The purpose of this study was to cross-validate the Beunen-Malina method for non-invasive prediction of adult height. Three hundred and eight boys aged 13, 14, 15 and 16 years from the Madeira Growth Study were observed at annual intervals in 1996, 1997 and 1998 and re-measured 7-8 years later. Height, sitting height and the triceps and subscapular skinfolds were measured; skeletal age was assessed using the Tanner-Whitehouse 2 method. Adult height was measured and predicted using the Beunen-Malina method. Maturity groups were classified using relative skeletal age (skeletal age minus chronological age). Pearson correlations, mean differences and standard errors of estimate (SEE) were calculated. Age-specific correlations between predicted and measured adult height vary between 0.70 and 0.85, while age-specific SEE varies between 3.3 and 4.7 cm. The correlations and SEE are similar to those obtained in the development of the original Beunen-Malina method. The Beunen-Malina method is a valid method to predict adult height in adolescent boys and can be used in European populations or populations from European ancestry. Percentage of predicted adult height is a non-invasive valid method to assess biological maturity.

Entities:  

Mesh:

Year:  2010        PMID: 19919500     DOI: 10.3109/03014460903393865

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  3 in total

1.  Rethinking Monolithic Pathways to Success and Talent Identification: The Case of the Women's Japanese Volleyball Team and Why Height is not Everything.

Authors:  Jorge Vargas; Manuel Loureiro; Pantelis T Nikolaidis; Beat Knechtle; Lorenzo Laporta; Rui Marcelino; Jose Afonso
Journal:  J Hum Kinet       Date:  2018-10-15       Impact factor: 2.193

2.  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

3.  Using physical examinations to estimate age in elementary school children: A Chinese population-based study.

Authors:  Lei Shi; Fan Jiang; Fengxiu Ouyang; Jun Zhang; Xiaoming Shen
Journal:  J Sport Health Sci       Date:  2017-03-16       Impact factor: 7.179

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.