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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
IJzerman, H., Lindenberg, S., Dalğa, I., Weissgerber, S. C. , Vergara, R. C. , Cairo, A. H. ...Zickfeld, Janis H. (2018). The human penguin project: climate, social integration, and core body temperature. Collabra: Psychology. 4 (1)
Exportar Referência (IEEE)
H. IJzerman et al.,  "The human penguin project: climate, social integration, and core body temperature", in Collabra: Psychology, vol. 4, no. 1, 2018
Exportar BibTeX
@article{ijzerman2018_1722097540502,
	author = "IJzerman, H. and Lindenberg, S. and Dalğa, I. and Weissgerber, S. C.  and Vergara, R. C.  and Cairo, A. H.  and Čolić, M. V.  and Dursun, P. and Frankowska, N. and Hadi, R. and Hall, C. J.  and Hong, Y. and Hu, Chuan-Peng  and Joy-Gaba, Jennifer and Lazarević, D. and Lazarević, L. B.  and Parzuchowski´, M. and Ratner, K. G.  and Rothman, D. and Sim, S. and Simão, C. and Song, M. and Stojilović, D. and Blomster, J. and Brito, R. and Hennecke, M.  and Jaume-Guazzini, F. and Schubert, T. W. and Schütz, A. and Seibt, B. and Zickfeld, Janis H.",
	title = "The human penguin project: climate, social integration, and core body temperature",
	journal = "Collabra: Psychology",
	year = "2018",
	volume = "4",
	number = "1",
	doi = "10.1525/collabra.165",
	url = "https://www.collabra.org/articles/10.1525/collabra.165/"
}
Exportar RIS
TY  - JOUR
TI  - The human penguin project: climate, social integration, and core body temperature
T2  - Collabra: Psychology
VL  - 4
IS  - 1
AU  - IJzerman, H.
AU  - Lindenberg, S.
AU  - Dalğa, I.
AU  - Weissgerber, S. C. 
AU  - Vergara, R. C. 
AU  - Cairo, A. H. 
AU  - Čolić, M. V. 
AU  - Dursun, P.
AU  - Frankowska, N.
AU  - Hadi, R.
AU  - Hall, C. J. 
AU  - Hong, Y.
AU  - Hu, Chuan-Peng 
AU  - Joy-Gaba, Jennifer
AU  - Lazarević, D.
AU  - Lazarević, L. B. 
AU  - Parzuchowski´, M.
AU  - Ratner, K. G. 
AU  - Rothman, D.
AU  - Sim, S.
AU  - Simão, C.
AU  - Song, M.
AU  - Stojilović, D.
AU  - Blomster, J.
AU  - Brito, R.
AU  - Hennecke, M. 
AU  - Jaume-Guazzini, F.
AU  - Schubert, T. W.
AU  - Schütz, A.
AU  - Seibt, B.
AU  - Zickfeld, Janis H.
PY  - 2018
SN  - 2474-7394
DO  - 10.1525/collabra.165
UR  - https://www.collabra.org/articles/10.1525/collabra.165/
AB  - Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature. This data-driven analysis found that complex social integration (CSI), defined as the number of high-contact roles one engages in, is a critical predictor of core body temperature. We further used a cross-validation approach to show that colder climates relate to higher levels of CSI, which in turn relates to higher CBT (when climates get colder). These results suggest that despite modern affordances for regulating body temperature, people still rely on social warmth to buffer their bodies against the cold.
ER  -