2019
DOI: 10.1002/ajp.23001
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Aggression and social support predict long‐term cortisol levels in captive tufted capuchin monkeys (Cebus [Sapajus] apella)

Abstract: Many nonhuman primates live in complex social groups in which they regularly encounter both social stressors such as aggression and social support such as that provided by long-term affiliative relationships. Repeated exposure to social stressors may result in chronically elevated cortisol levels that can have deleterious physical effects such as impaired immune function, cardiovascular disease, and reduced brain function. In contrast, affiliative social relationships may act as a buffer, dampening the release… Show more

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Cited by 21 publications
(23 citation statements)
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References 77 publications
(154 reference statements)
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“…This is likely because higher-ranking MG subjects and lower-ranking UG subjects were now the middle-ranking animals, and ranks were unsettled among the highest-ranking MG subjects and the lowest-ranking UG subjects, as they were challenging each other, whereas ranks among the MG subjects remained perfectly stable . This is consistent with other literature indicating mid-ranking animals typically have the lowest DC (Schrock et al, 2019;Vandeleest et al, 2016). Surprisingly, individuals more peripheral in social play networks had increased DC, as these individuals may have been high-or low-ranking to begin with, which often have certain dominance positions (Schrock et al, 2019;Vandeleest et al, 2016).…”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…This is likely because higher-ranking MG subjects and lower-ranking UG subjects were now the middle-ranking animals, and ranks were unsettled among the highest-ranking MG subjects and the lowest-ranking UG subjects, as they were challenging each other, whereas ranks among the MG subjects remained perfectly stable . This is consistent with other literature indicating mid-ranking animals typically have the lowest DC (Schrock et al, 2019;Vandeleest et al, 2016). Surprisingly, individuals more peripheral in social play networks had increased DC, as these individuals may have been high-or low-ranking to begin with, which often have certain dominance positions (Schrock et al, 2019;Vandeleest et al, 2016).…”
Section: Discussionsupporting
confidence: 93%
“…Elo-rating, a method commonly used to track rank changes over time (Neumann et al, 2011) was used to establish dominance ranks, which has previously been documented in detail for this group . Contrary to dominance rank, DC is a relatively new method that utilizes both direct and indirect information via social network analysis to gauge the overall "fit" of an individual's position in the dominance network (Fushing et al, 2011;Linden et al, 2019;Schrock et al, 2019;Vandeleest et al, 2016;. DC was calculated from dominance interactions (threats, chases, attacks, displacements, silent-bared teeth displays) using the percolation and conductance method implemented via the Perc package (Fujii et al, 2015;Vandeleest et al, 2016) in R software (v 3.3.3) This is a network-based method that handles missing data better than other ranking methods by measuring both direct and indirect pathways and transitivity in the dominance networks.…”
Section: Behavioral Data Collection: Aggression Dominance Ranks and Dominance Certaintymentioning
confidence: 99%
“…Rank-associated behavioral measures could therefore capture salient variation in the social environment better than dominance rank itself. In support of this possibility, hair cortisol concentrations in a small sample of captive tufted capuchins were positively predicted by rates of aggression received and negatively predicted by grooming network centrality but were not associated with dominance rank (55). In captive rhesus macaques, hair cortisol was also uncorrelated with rank, but was negatively correlated with the rate of initiated affiliative interactions (50).…”
Section: Introductionmentioning
confidence: 94%
“…Higher Elo scores indicate higher rank positions. Transitivity and rank certainty were calculated using the Percolation and Conductance method ("Perc" package for R; Fujii et al, 2021;Fushing et al, 2011;Schrock et al, 2019). A perfectly linear dominance hierarchy would be 100% A Pearson correlation was conducted between Elo score and age to determine whether rank was related to age in our social group.…”
Section: Dominance Hierarchymentioning
confidence: 99%