Evidence map›Paper›PMID 38445298›Full record

ArticleAmerican journal of biological anthropology2024

Mechanical and morphometric approaches to body mass estimation in rhesus macaques: A test of skeletal variables.

Cassandra M Turcotte, Audrey M Choi, Jeffrey K Spear, Eva M Hernandez-Janer, Edwin Dickinson, Hannah G Taboada, Michala K Stock, Catalina I Villamil, Samuel E Bauman, Cayo Biobank Research Unit and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of biological anthropology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Cassandra M TurcotteCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.ORCID 0000-0003-1277-1657
Audrey M ChoiCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.
Jeffrey K SpearCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.ORCID 0000-0002-0290-7090
Eva M Hernandez-JanerCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.
Edwin DickinsonDepartment of Anatomy, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York, USA.ORCID 0000-0002-9062-6677
Hannah G TaboadaCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.
Michala K StockDepartment of Sociology and Anthropology, Metropolitan State University of Denver, Denver, Colorado, USA.ORCID 0000-0002-1777-4147
Catalina I VillamilSchool of Chiropractic, Universidad Central del Caribe, Bayamón, Puerto Rico, USA.ORCID 0000-0001-8115-0112
Samuel E BaumanCaribbean Primate Research Center, University of Puerto Rico, San Juan, Puerto Rico, USA.
Cayo Biobank Research UnitDepartment of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Melween I MartinezCaribbean Primate Research Center, University of Puerto Rico, San Juan, Puerto Rico, USA.
Lauren J N BrentDepartment of Psychology, University of Exeter, Exeter, UK.
Noah Snyder-MacklerSchool of Life Sciences, Arizona State University, Tempe, Arizona, USA.
Michael J MontagueDepartment of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0253-4404
Michael L PlattDepartment of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Scott A WilliamsCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.ORCID 0000-0001-7860-8962
Susan C AntónCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.
James P HighamCenter for the Study of Human Origins, Department of Anthropology, New York University, New York, New York, USA.ORCID 0000-0002-1133-2030

Funding

Viral TestingU42OD021458 · OD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Melween I. Martinez · 2016 to 2026
$45.1M
Translational Science InitiativeP40OD012217 · OD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI CARLOS A SARIOL · 2012 to 2026
$40.4M
Social modifiers of the pace of aging across multiple domains and tissuesR01AG060931 · NIA · UNIVERSITY OF WASHINGTON · PI BRENT, LAUREN JOHANNA NICOLE, HIGHAM, JAMES P · 2019 to 2023
$3.6M
Impacts of hurricanes and social buffering on biological aging in a free-ranging animal modelR01AG084706 · NIA · NEW YORK UNIVERSITY · PI Lauren Johanna Nicole Brent, James P Higham · 2023 to 2026
$2.5M
Neurogenomics of Vulnerability and Resilience to Mental Health Syndromes in Response to Extreme Life EventsR01MH118203 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI PLATT, MICHAEL L · 2019 to 2023
$1.9M
Leakey FoundationNational Science Foundation BCS-1648676National Science Foundation BCS-1754024National Science Foundation BCS-1800558NIA NIH HHS R01 AG060931NIA NIH HHS R01 AG084706NIH HHS P40 OD012217NIH HHS P40-OD012217NIH HHS R01-AG060931-2NIH HHS U42 OD021458NIMH NIH HHS R01 MH118203
6 · The paper itself

Abstract

objectivesEstimation 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

methodsAntemortem 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.

resultsFemur 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).

conclusionBody 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.

Indexed as

Macaca mulattaAnimalsAnthropology, PhysicalBody WeightBone and BonesFemaleHumerusMalebody compositionmorphometricsOLS regressionsoft tissue reconstructionweight distribution

Identifiers

PMID38445298
PMCPMC11137856

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