Literature DB >> 21469078

Using the life history model to set the stage(s) of growth and senescence in bioarchaeology and paleodemography.

Mirjana Roksandic1, Stephanie D Armstrong.   

Abstract

Paleodemography, the study of demographic parameters of past human populations, relies on assumptions including biological uniformitarianism, stationary populations, and the ability to determine point age estimates from skeletal material. These assumptions have been widely criticized in the literature and various solutions have been proposed. The majority of these solutions rely on statistical modeling, and have not seen widespread application. Most bioarchaeologists recognize that our ability to assess chronological age is inherently limited, and have instead resorted to large, qualitative, age categories. However, there has been little attempt in the literature to systematize and define the stages of development and ageing used in bioarchaeology. We propose that stages should be based in the human life history pattern, and their skeletal markers should have easily defined and clear endpoints. In addition to a standard five-stage developmental model based on the human life history pattern, current among human biologists, we suggest divisions within the adult stage that recognize the specific nature of skeletal samples. We therefore propose the following eight stages recognizable in human skeletal development and senescence: infancy, early childhood, late childhood, adolescence, young adulthood, full adulthood, mature adulthood, and senile adulthood. Striving toward a better prediction of chronological ages will remain important and could eventually help us understand to what extent past societies differed in the timing of these life stages. Furthermore, paleodemographers should try to develop methods that rely on the type of age information accessible from the skeletal material, which uses life stages, rather than point age estimates.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21469078     DOI: 10.1002/ajpa.21508

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  6 in total

1.  Isotopic reconstruction of the weaning process in the archaeological population of Canímar Abajo, Cuba: A Bayesian probability mixing model approach.

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Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.240

2.  Ontogenetic Patterning of Human Subchondral Bone Microarchitecture in the Proximal Tibia.

Authors:  Jesse R Goliath; James H Gosman; Sam D Stout; Timothy M Ryan
Journal:  Biology (Basel)       Date:  2022-07-01

3.  Modeling Metabolism and Disease in Bioarcheology.

Authors:  Clifford Qualls; Otto Appenzeller
Journal:  Biomed Res Int       Date:  2015-08-06       Impact factor: 3.411

4.  Modeling Clinical States and Metabolic Rhythms in Bioarcheology.

Authors:  Clifford Qualls; Raffaella Bianucci; Michael N Spilde; Genevieve Phillips; Cecilia Wu; Otto Appenzeller
Journal:  Biomed Res Int       Date:  2015-08-06       Impact factor: 3.411

5.  Not of African Descent: Dental Modification among Indigenous Caribbean People from Canímar Abajo, Cuba.

Authors:  Mirjana Roksandic; Kaitlynn Alarie; Roberto Rodríguez Suárez; Erwin Huebner; Ivan Roksandic
Journal:  PLoS One       Date:  2016-04-12       Impact factor: 3.240

6.  "The dead shall be raised": Multidisciplinary analysis of human skeletons reveals complexity in 19th century immigrant socioeconomic history and identity in New Haven, Connecticut.

Authors:  Gary P Aronsen; Lars Fehren-Schmitz; John Krigbaum; George D Kamenov; Gerald J Conlogue; Christina Warinner; Andrew T Ozga; Krithivasan Sankaranarayanan; Anthony Griego; Daniel W DeLuca; Howard T Eckels; Romuald K Byczkiewicz; Tania Grgurich; Natalie A Pelletier; Sarah A Brownlee; Ana Marichal; Kylie Williamson; Yukiko Tonoike; Nicholas F Bellantoni
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

  6 in total

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