Document Detail

Differences between Neandertal and modern human infant and child growth models.
MedLine Citation:
PMID:  22658332     Owner:  NLM     Status:  Publisher    
Studying the emergence of distinctive human growth patterns is essential to understanding the evolution of our species. The large number of Neandertal fossils makes this species the best candidate for a comparative study of growth patterns in archaic and modern humans. Here, Neandertal height growth during infancy and early childhood is described using a mathematical model. Height growth velocities for individuals five years old or younger are modelled as age functions based on different estimates of height and age for a set of ten Neandertal infants and children. The estimated heights of each Neandertal individual are compared with those of two modern human populations based on longitudinal and cross-sectional data. The model highlights differences in growth velocity during infancy (from the age of five months onward). We find that statural growth in Neandertal infants is much slower than that seen in modern humans, Neandertal growth is similar to modern humans at birth, but decreases around the third or fourth month. The markedly slower growth rates of Neandertal infants may be attributable to ontogenetic constraints or to metabolic stress, and contribute to short achieved adult stature relative to modern humans.
Jesús A Martín-González; Ana Mateos; Idoia Goikoetxea; William R Leonard; Jesús Rodríguez
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-1
Journal Detail:
Title:  Journal of human evolution     Volume:  -     ISSN:  1095-8606     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0337330     Medline TA:  J Hum Evol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Paseo Sierra de Atapuerca s/n, 09002 Burgos, Spain; Departamento de Matematicas y Computación, Universidad de Burgos, Burgos, Spain.
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