Dados Bibliográficos

AUTOR(ES) Dorie Gilbert Martinez , Danielle M. Doe , Nieves Candelas González , Oscar Cambra‐Moo , María Molina Moreno , Antonio GonzÁLez Martin
AFILIAÇÃO(ÕES) Complutense University of Madrid, Spain, Laboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología Universidad Autónoma de Madrid Madrid Spain, Grup de Recerca en Antropología Biològica (GREAB), Departament de Biología Animal, Biología Vegetal i D'ecología Universitat Autònoma de Barcelona Barcelona Spain
ANO Não informado
TIPO Artigo
DOI 10.1002/ajhb.70101
ADICIONADO EM 2025-08-18

Resumo

ObjectivesIdentifying signs of birth in perinatal human remains of past populations is challenging due to the lack of direct markers of this event on bones. This research aims to identify distinct events in humeral cross‐sections microanatomy related to perinatal development and to integrate the findings into infant mortality trends.Material and MethodsThe sample consists of infants (N = 106) ranging from prenatal to 1.5 years, with microanatomical analysis of nine selected individuals. Age‐at‐death estimation and microanatomical characterization were conducted, combined with quantitative analysis of microanatomical features.ResultsBiological age‐at‐death presents high variability and overlap across prenatal to postnatal stages. Microanatomical analysis reveals a higher percentage of mineralized areas (60%–80%) within the total cross‐sectional area in the youngest individuals up to the first neonatal month.ConclusionsBased on the integration of microanatomical analysis in an extensive infant sample, this study highlights the evidence of developmental transitions from prenatal to neonatal stages. These findings suggest that, unlike biological age estimation methods, the full‐term period can be identified microanatomically in bone. This provides a valuable approach for analyzing fragmented skeletal remains, secondary deposits, and other funerary or osteological contexts, opening new pathways to understand gestational development and postnatal survival in past populations.

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