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Accentuated lines in the enamel of primary incisors from skeletal remains: A contribution to the explanation of early childhood mortality in a medieval population from Poland
Authors:Elżbieta Żądzińska  Wiesław Lorkiewicz  Marta Kurek  Beata Borowska‐Strugińska
Affiliation:Department of Anthropology, Faculty of Biology and Environmental Protection, University of ?ód?, Poland
Abstract:Physiological disruptions resulting from an impoverished environment during the first years of life are of key importance for the health and biological status of individuals and populations. Studies of growth processes in archaeological populations point to the fact that the main causes of childhood mortality in the past are to be sought among extrinsic factors. Based on this assumption, one would expect random mortality of children, with the deceased individuals representing the entire subadult population. The purpose of this study is to explore whether differences in early childhood survival are reflected in differences in deciduous tooth enamel, which can provide an insight into the development of an individual during prenatal and perinatal ontogeny. Deciduous incisors were taken from 83 individuals aged 2.0–6.5 years from a medieval inhumation cemetery dated AD 1300–1600. Prenatal and postnatal enamel formation time, neonatal line width, and the number of accentuated lines were measured using an optical microscope. The significantly wider neonatal line and the higher frequency of accentuated lines in the enamel of the incisors of children who died at the age of 2–3 years suggest the occurrence of stronger or more frequent stress events in this group. These results indicate that in skeletal populations mortality was not exclusively determined by random external factors. Individuals predisposed by an unfavorable course of prenatal and perinatal growth were more likely to die in early childhood. Am J Phys Anthropol 157:402–410, 2015. © 2015 Wiley Periodicals, Inc.
Keywords:neonatal line  growth disruption  subadult mortality  archeological populations
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