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Turcotte CM, Choi AM, Spear JK, Hernandez-Janer EM, Dickinson E, Taboada HG, Stock MK, Villamil CI, Bauman SE, Martinez MI, Brent LJN, Snyder-Mackler N, Montague MJ, Platt ML, Williams SA, Antón SC, Higham JP. Mechanical and morphometric approaches to body mass estimation in rhesus macaques: A test of skeletal variables. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024; 184:e24901. [PMID: 38445298 PMCID: PMC11137856 DOI: 10.1002/ajpa.24901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/27/2023] [Accepted: 01/13/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVES Estimation of body mass from skeletal metrics can reveal important insights into the paleobiology of archeological or fossil remains. The standard approach constructs predictive equations from postcrania, but studies have questioned the reliability of traditional measures. Here, we examine several skeletal features to assess their accuracy in predicting body mass. MATERIALS AND METHODS Antemortem mass measurements were compared with common skeletal dimensions from the same animals postmortem, using 115 rhesus macaques (male: n = 43; female: n = 72). Individuals were divided into training (n = 58) and test samples (n = 57) to build and assess Ordinary Least Squares or multivariate regressions by residual sum of squares (RSS) and AIC weights. A leave-one-out approach was implemented to formulate the best fit multivariate models, which were compared against a univariate and a previously published catarrhine body-mass estimation model. RESULTS Femur circumference represented the best univariate model. The best model overall was composed of four variables (femur, tibia and fibula circumference and humerus length). By RSS and AICw, models built from rhesus macaque data (RSS = 26.91, AIC = -20.66) better predicted body mass than did the catarrhine model (RSS = 65.47, AIC = 20.24). CONCLUSION Body mass in rhesus macaques is best predicted by a 4-variable equation composed of humerus length and hind limb midshaft circumferences. Comparison of models built from the macaque versus the catarrhine data highlight the importance of taxonomic specificity in predicting body mass. This paper provides a valuable dataset of combined somatic and skeletal data in a primate, which can be used to build body mass equations for fragmentary fossil evidence.
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Affiliation(s)
- Cassandra M Turcotte
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
- Department of Anatomy, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York, USA
| | - Audrey M Choi
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Jeffrey K Spear
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Eva M Hernandez-Janer
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
- Department of Evolutionary Anthropology, Rutgers University, New Brunswick, New Jersey, USA
| | - Edwin Dickinson
- Department of Anatomy, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York, USA
| | - Hannah G Taboada
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Michala K Stock
- Department of Sociology and Anthropology, Metropolitan State University of Denver, Denver, Colorado, USA
| | - Catalina I Villamil
- School of Chiropractic, Universidad Central del Caribe, Bayamón, Puerto Rico, USA
| | - Samuel E Bauman
- Caribbean Primate Research Center, University of Puerto Rico, San Juan, Puerto Rico, USA
| | - Melween I Martinez
- Caribbean Primate Research Center, University of Puerto Rico, San Juan, Puerto Rico, USA
| | | | - Noah Snyder-Mackler
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- School for Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
| | - Michael J Montague
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael L Platt
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott A Williams
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Susan C Antón
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - James P Higham
- Center for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
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Mongillo J, Vescovo G, Bramanti B. Belly fat or bloating? New insights into the physical appearance of St Anthony of Padua. PLoS One 2021; 16:e0260505. [PMID: 34932567 PMCID: PMC8691610 DOI: 10.1371/journal.pone.0260505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 11/10/2021] [Indexed: 11/19/2022] Open
Abstract
Over the centuries, iconographic representations of St Anthony of Padua, one of the most revered saints in the Catholic world, have been inspired by literary sources, which described the Saint as either naturally corpulent or with a swollen abdomen due to dropsy (i.e. fluid accumulation in the body cavities). Even recent attempts to reconstruct the face of the Saint have yielded discordant results regarding his outward appearance. To address questions about the real appearance of St Anthony, we applied body mass estimation equations to the osteometric measurements taken in 1981, during the public recognition of the Saint's skeletal remains. Both the biomechanical and the morphometric approach were employed to solve some intrinsic limitations in the equations for body mass estimation from skeletal remains. The estimated body mass was used to assess the physique of the Saint with the body mass index. The outcomes of this investigation reveal interesting information about the body type of the Saint throughout his lifetime.
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Affiliation(s)
- Jessica Mongillo
- Department of Environmental and Prevention Sciences, University of Ferrara c.so Ercole I d’Este n.32, Ferrara, Italy
| | - Giulia Vescovo
- Department of Environmental and Prevention Sciences, University of Ferrara c.so Ercole I d’Este n.32, Ferrara, Italy
| | - Barbara Bramanti
- Department of Environmental and Prevention Sciences, University of Ferrara c.so Ercole I d’Este n.32, Ferrara, Italy
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Yim AD, Konigsberg LW, Hwa HL, Chang CC, Chen JY, Liu HM. Allometric scaling and growth: Evaluation and applications in subadult body mass estimation. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2021; 175:577-588. [PMID: 34002366 DOI: 10.1002/ajpa.24329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 04/12/2021] [Accepted: 05/02/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Previously developed methods in subadult body mass estimation have not been tested in populations other than European-American or African-American. This study uses a contemporary Taiwanese sample to test these methods. Through evaluating their accuracy and bias, we addressed whether the allometric relationships between body mass and skeletal traits commonly used in subadult body mass estimation are conserved among different populations. MATERIALS AND METHODS Computed tomography scans of lower limbs from individuals aged 0-17 years old of both sexes were collected from National Taiwan University Hospital along with documented body weight. Polar second moment of area, distal femoral metaphyseal breadth, and maximum superior/inferior femoral head diameter were collected either directly from the scans or from reconstructed 3D models. Estimated body mass was compared with documented body mass to assess the performance of the equations. RESULTS Current methods provided good body mass estimates in Taiwanese individuals, with accuracy and bias similar to those reported in other validation studies. A tendency for increasing error with increasing age was observed for all methods. Reduced major axis regression showed the allometric relationships between different skeletal traits and body mass across different age categories can all be summarized using a common fitted line. A revised, maximum likelihood-based approach was proposed for all skeletal traits. DISCUSSION The results suggested that the allometric relationships between body mass and different skeletal traits are largely conserved among populations. The revised method provided improved applicability with strong underlying theoretical justifications, and potential for future improvements.
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Affiliation(s)
- An-Di Yim
- Department of Anthropology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Lyle W Konigsberg
- Department of Anthropology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Hsiao-Lin Hwa
- Department and Graduate Institute of Forensic Medicine, National Taiwan University, Taipei City, Taiwan
| | - Chin-Chen Chang
- Department and Graduate Institute of Forensic Medicine, National Taiwan University, Taipei City, Taiwan.,Department of Medical Imaging, National Taiwan University Hospital, Taipei City, Taiwan
| | - Jo-Yu Chen
- Department of Medical Imaging, National Taiwan University Hospital, Taipei City, Taiwan
| | - Hon-Man Liu
- Department of Medical Imaging, National Taiwan University Hospital, Taipei City, Taiwan.,Department of Medical Imaging, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan
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Yapuncich GS, Bowie A, Belais R, Churchill SE, Walker CS. Predicting body mass of bonobos (Pan paniscus) with human-based morphometric equations. Am J Primatol 2020; 82:e23088. [PMID: 31961002 DOI: 10.1002/ajp.23088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 11/06/2019] [Accepted: 12/15/2019] [Indexed: 01/31/2023]
Abstract
A primate's body mass covaries with numerous ecological, physiological, and behavioral characteristics. This versatility and potential to provide insight into an animal's life has made body mass prediction a frequent and important objective in paleoanthropology. In hominin paleontology, the most commonly employed body mass prediction equations (BMPEs) are "mechanical" and "morphometric": uni- or multivariate linear regressions incorporating dimensions of load-bearing skeletal elements and stature and living bi-iliac breadth as predictor variables, respectively. The precision and accuracy of BMPEs are contingent on multiple factors, however, one of the most notable and pervasive potential sources of error is extrapolation beyond the limits of the reference sample. In this study, we use a test sample requiring extrapolation-56 bonobos (Pan paniscus) from the Lola ya Bonobo sanctuary in Kinshasa, Democratic Republic of the Congo-to evaluate the predictive accuracy of human-based morphometric BMPEs. We first assess systemic differences in stature and bi-iliac breadth between humans and bonobos. Due to significant differences in the scaling relationships of body mass and stature between bonobos and humans, we use panel regression to generate a novel BMPE based on living bi-iliac breadth. We then compare the predictive accuracy of two previously published morphometric equations with the novel equation and find that the novel equation predicts bonobo body mass most accurately overall (41 of 56 bonobos predicted within 20% of their observed body mass). The novel BMPE is particularly accurate between 25 and 45 kg. Given differences in limb proportions, pelvic morphology, and body tissue composition between the human reference and bonobo test samples, we find these results promising and evaluate the novel BMPE's potential application to fossil hominins.
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Affiliation(s)
- Gabriel S Yapuncich
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina.,Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Aleah Bowie
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina
| | | | - Steven E Churchill
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina.,Evolutionary Studies Institute, University of the Witwatersrand, Wits, South Africa
| | - Christopher S Walker
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina.,Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Evolutionary Studies Institute, University of the Witwatersrand, Wits, South Africa
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Will M, Pablos A, Stock JT. Long-term patterns of body mass and stature evolution within the hominin lineage. ROYAL SOCIETY OPEN SCIENCE 2017; 4:171339. [PMID: 29291118 PMCID: PMC5717693 DOI: 10.1098/rsos.171339] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 10/04/2017] [Indexed: 05/20/2023]
Abstract
Body size is a central determinant of a species' biology and adaptive strategy, but the number of reliable estimates of hominin body mass and stature have been insufficient to determine long-term patterns and subtle interactions in these size components within our lineage. Here, we analyse 254 body mass and 204 stature estimates from a total of 311 hominin specimens dating from 4.4 Ma to the Holocene using multi-level chronological and taxonomic analytical categories. The results demonstrate complex temporal patterns of body size variation with phases of relative stasis intermitted by periods of rapid increases. The observed trajectories could result from punctuated increases at speciation events, but also differential proliferation of large-bodied taxa or the extinction of small-bodied populations. Combined taxonomic and temporal analyses show that in relation to australopithecines, early Homo is characterized by significantly larger average body mass and stature but retains considerable diversity, including small body sizes. Within later Homo, stature and body mass evolution follow different trajectories: average modern stature is maintained from ca 1.6 Ma, while consistently higher body masses are not established until the Middle Pleistocene at ca 0.5-0.4 Ma, likely caused by directional selection related to colonizing higher latitudes. Selection against small-bodied individuals (less than 40 kg; less than 140 cm) after 1.4 Ma is associated with a decrease in relative size variability in later Homo species compared with earlier Homo and australopithecines. The isolated small-bodied individuals of Homo naledi (ca 0.3 Ma) and Homo floresiensis (ca 100-60 ka) constitute important exceptions to these general patterns, adding further layers of complexity to the evolution of body size within the genus Homo. At the end of the Late Pleistocene and Holocene, body size in Homo sapiens declines on average, but also extends to lower limits not seen in comparable frequency since early Homo.
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Affiliation(s)
- Manuel Will
- Gonville and Caius College, University of Cambridge, Cambridge CB2 3QG, UK
- PAVE Research Group, Department of Archaeology, University of Cambridge, Cambridge CB2 3QG, UK
- Department of Early Prehistory and Quaternary Ecology, University of Tübingen, Schloss Hohentübingen, 72070 Tübingen, Germany
| | - Adrián Pablos
- Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Paseo Sierra de Atapuerca 3, 09002 Burgos, Spain
- Grupo de Bioacústica Evolutiva y Paleoantropolgía (BEP), Área de Antropología Física, Departamento de Ciencias de la Vida, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain
- Centro Mixto UCM-ISCIII de Investigación sobre Evolución y Comportamiento Humanos, c/Monforte de Lemos, 5, 28029 Madrid, Spain
| | - Jay T. Stock
- PAVE Research Group, Department of Archaeology, University of Cambridge, Cambridge CB2 3QG, UK
- Department of Anthropology, Western University, London, Ontario, CanadaN6A 3K7
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