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Research Article

Models for predicting height from percutaneous lengths of the ulna and femur in a Ghanaian population

, ORCID Icon, , , &
Pages 49-60 | Received 03 Sep 2020, Accepted 20 Jan 2021, Published online: 22 Feb 2021
 

Abstract

This study aimed to develop predictive models from percutaneous femoral (PFL) and ulna (PUL) lengths for estimating height among a living Ghanaian population. This was a cross-sectional study involving 99 adults (males = 52, females = 47) between the ages of 19–31yrs. The height, femoral and ulnar lengths of all participants were measured twice using standard anthropometric methods. Regression predictive equation models were developed based on PFL, PUL, age and the combined PFL + PUL. p < 0.05 was considered statistically significant. Males were significantly taller and had longer PFL and PUL than females (p < 0.05 for all). Correlation between height and PFL, PUL, age and PFL + PUL in the total study population was 0.783, 0.786, 0.234 and 0.875 and their adjusted R2 were 60.9%, 61.4%, 4.5% and 76.4%, respectively. Predicted heights using all models except age, were not significantly different from the measured height (mean difference ≤ 0.0, p > 0.05). However, other population-based models used to predict the height of Ghanaians deviated from the observed height by about 2.1–8.2 cm in males and 1.5–7.6 cm in females. The combined PFL + PUL was more suitable for predictive height followed by PFL and PUL. Height estimating models from PFL and PUL are population-specific and should not be extrapolated to other populations.

Résumé

Cette étude vise à développer un modèle prédictif à partir de longueurs percutanées fémorale (PFL) et ulnaire (PUL) pour estimer la taille parmi une population Ghanéenne vivante. Il s'agit d'une étude transversale impliquant 99 adultes (hommes = 52, femmes = 47) âgés entre 19–31 ans. La taille de tous les participants ainsi que la longueur fémorale et ulnaire ont été mesurés à deux reprises en utilisant des méthodes standards anthropométriques. Les modèles d'équation prédictive de régression ont été développés basés sur la PFL, la PUL, l'âge, et la combinaison des PFL+PUL (valeur de probabilité 0.05). Cependant, les modèles basés sur d'autres populations déviaient de la taille observée par environ 2.1–8.2 cm pour les hommes et 1.5–7.6 cm pour les femmes lorsqu'utilisés pour prédire la taille des Ghanéens. La combinaison des PFL+PUL était plus appropriée pour prédire la taille, suivie de la PFL puis de la PUL. Les modèles d'estimation de la taille à partir de la PFL et de la PUL sont population-spécifiques et ne doivent pas être extrapolés à d'autres populations.

Acknowledgements

We wish to acknowledge all participants for consenting to take part in this study.

Disclosure statement

No potential conflict of interest was reported by the authors.

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