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How old are you now? A new ageing method for nonadults based on dental wear

Bibliographic Data

ID7809729
AuthorsBjørn Peare Bartholdy (0000-0003-3985-1016, Faculty of Archaeology Leiden University Leiden The Netherlands, corresponding author), M L P Hoogland (0000-0002-6355-1278, Leiden University), Andrea Waters‐rist (0000-0003-1807-3171, Department of Anthropology, Faculty of Social Sciences Western University London Ontario Canada)
Year2019
Volume29
Issue4
Pages622-633
Publication date2019-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Osteoarchaeology (JOURNAL)
Journal identifiersISSN: 1047-482X • E-ISSN: 1099-1212
PublisherWiley (PUBLISHER • GB)
DOI10.1002/oa.2758
OpenAlexW2942162258
LanguageEN
Citations received5
References cited56

The main aim of this study is to present a novel method of nonadult (ca. 1–19 years) age‐at‐death estimation using the dental wear of deciduous, mixed deciduous‐permanent, and permanent dentitions, including the incisors, canines, premolars, and first and second molars. The stage‐based method is derived from degrees of dental wear in known‐age ( n = 39) and estimated‐age ( n = 11) nonadults containing 951 teeth from the predominately 19th century cemetery of Middenbeemster, The Netherlands. The need for such a method is warranted in cases where dental development and/or eruption cannot be assessed for age‐at‐death estimation. As well, by establishing a baseline for normal age‐related nonadult tooth wear, users may better document wear that could be due to extramasticatory behaviours. The regression analysis reveals a strong quadratic correlation— F (2, 47) = 555.1, p R 2 = .95, standard error of the estimate = 1.14, residual sum of squares (RSS) = 68.89, predicted residual error sum of squares (PRESS) = 77.67—between age and wear and multivariate adaptive regression splines ( R 2 = .95, generalised cross validation = 1.67, RSS = 67.68, PRESS = 89.34), which are used to develop an R‐package that users may employ to estimate age‐at‐death from dental wear. The accuracy of this method (78–98%) is evaluated using leave‐one‐out cross‐validation. Analyses of males versus females, deciduous versus permanent, upper versus lower, and anterior versus posterior teeth revealed no apparent reason to warrant separate methods for these groups of separated dentitions. This method fills a disciplinary gap in the understudied area of deciduous and nonadult dental wear and hopes to stimulate much future research. With the R‐package, we also provide the foundation and framework for the development of additional reference populations across different spatiotemporal contexts, to make the method more widely applicable

Age groups · Ageing · Concordance · Deciduous teeth · Molar · Multivariate statistics · Permanent teeth · RSS · Standard error · Statistics · Computer Science · Demography · Dental Erosion and Treatment · Dentistry · Forensic Anthropology and Bioarchaeology Studies · Mathematics · Medicine · Paleopathology and ancient diseases · Internal Medicine · Orthodontics

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Unique citing works5
Citations per year0,83
Citation span2020 - 2024 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4
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