The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Cortisol in mother's milk across lactation reflects maternal life history and predicts infant temperament
Open accessAbstract
= 108). Glucocorticoids in mother's milk, independent of available milk energy, predicted a more Nervous, less Confident temperament in both sons and daughters. We additionally found sex differences in the windows of sensitivity and the magnitude of sensitivity to maternal-origin glucocorticoids. Lower parity mothers produced milk with higher cortisol concentrations. Lastly, higher cortisol concentrations in milk were associated with greater infant weight gain across time. Taken together, these results suggest that mothers with fewer somatic resources, even in captivity, may be "programming" through cortisol signaling, behaviorally cautious offspring that prioritize growth. Glucocorticoids ingested through milk may importantly contribute to the assimilation of available milk energy, development of temperament, and orchestrate, in part, the allocation of maternal milk energy between growth and behavioral phenotype.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
The Evolution of Life-histories
Benton, T. G., & Stearne, S. C. (1993) · The Journal of Animal Ecology · doi:10.2307/5403 · Cited by 12,228
Multimodel Inference: Understanding AIC and BIC in Model Selection
Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648
Sapolsky, R. M., Romero, L. M., & Munck, A. U. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.1.0389 · Cited by 7,541
Handbook of Personality : Theory and Research
Pervin, L. A. (1992) · Cited by 4,543
ANew Look at the Statistical Model Identification
AKAlKE, H. (2011) · Cited by 4,177
TRIVERS, R. L. (1974) · American Zoologist · doi:10.1093/icb/14.1.249 · Cited by 4,172
Natural Selection, the Costs of Reproduction, and a Refinement of Lack's Principle
Williams, G. C. (1966) · The American Naturalist · doi:10.1086/282461 · Cited by 3,276
Integrating animal temperament within ecology and evolution
Réale, D., Reader, S. M., Sol, D., McDougall, P. T., & Dingemanse, N. J. (2007) · Biological Reviews · doi:10.1111/j.1469-185x.2007.00010.x · Cited by 3,132
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Buss, C., Entringer, S., Moog, N. K., Toepfer, P., Fair, D. A., Simhan, H. N., Heim, C. M., & Wadhwa, P. D. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.03.001 · Cited by 250
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Metadata
- Authors
- Hinde, K., Skibiel, A. L., Foster, A. B., Del Rosso, L., Mendoza, S. P., & Capitanio, J. P.
- Venue
- Behavioral Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-10-31
- Volume
- 26
- Issue
- 1
- Pages
- 269-281
- ISSN
- 1045-2249 (ISSN-L)
- 1465-7279
- OpenAlex
- W2111289387
- Cited by
- 256
- References
- 135
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- green
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