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Towards a behavioural ecology of obesity

Published online by Cambridge University Press:  11 May 2017

Andrew D. Higginson
Affiliation:
Centre for Research in Animal Behaviour, College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QG, United [email protected]
John M. McNamara
Affiliation:
School of Mathematics, University of Bristol, University Walk, Bristol BS8 1TW, United [email protected]
Sasha R. X. Dall
Affiliation:
Centre for Ecology and Conservation, University of Exeter, Penryn, Cornwall TR10 9FE, United Kingdom. [email protected]

Abstract

Addressing the obesity epidemic depends on a holistic understanding of the reasons that people become and maintain excessive fat. Theories about the causes of obesity usually focus proximately or evoke evolutionary mismatches, with minimal clinical value. There is potential for substantial progress by adapting strategic body mass regulation models from evolutionary ecology to human obesity by assessing the role of information.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2017 

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References

Acker, J. (1989) The problem with patriarchy. Sociology 23:235–40.Google Scholar
Dall, S. & Boyd, I. (2002) Provisioning under the risk of starvation. Evolutionary Ecology Research 4:883–96.Google Scholar
Dall, S. R. X., Giraldeau, L.-A., Olsson, O., McNamara, J. M. & Stephens, D. W. (2005) Information and its use by animals in evolutionary ecology. Trends in Ecology & Evolution 20:187–93.Google Scholar
Dall, S. R. X. & Johnstone, R. A. (2002) Managing uncertainty: Information and insurance under the risk of starvation. Philosophical Transactions of the Royal Society B: Biological Sciences 357:1519–26.Google Scholar
Fawcett, T. W., Hamblin, S. & Giraldeau, L.-A. (2013) Exposing the behavioral gambit: The evolution of learning and decision rules. Behavioral Ecology 24(1):211. http://doi.org/10.1093/beheco/ars085.Google Scholar
Higginson, A. D., Fawcett, T. W. & Houston, A. I. (2015) Evolution of a flexible rule for foraging that copes with environmental variation. Current Zoology 61:303–12.Google Scholar
Higginson, A. D., Fawcett, T. W., Houston, A. I. & McNamara, J. M. (in preparation) Use of physiological states as a source of information approximates the performance of Bayesian learning.Google Scholar
Higginson, A. D. & McNamara, J. M. (2016) An adaptive response to uncertainty can lead to weight gain during dieting attempts. Evolution, Medicine, and Public Health 2016(1):369–80. Available at: doi: 10.1093/emph/eow031.CrossRefGoogle ScholarPubMed
Leibel, R. L., Rosenbaum, M. & Hirsch, J. (1995) Changes in energy expenditure resulting from altered body weight. New England Journal of Medicine 332(10):621–28. Available at: http://www.nejm.org/doi/full/10.1056/NEJM199503093321001.Google Scholar
Mathot, K. J. & Dall, S. R. X. (2013) Metabolic rates can drive individual differences in information and insurance use under the risk of starvation. American Naturalist 182:611–20.CrossRefGoogle ScholarPubMed
McNamara, J. M., Dall, S. R. X., Hammerstein, P. & Leimar, O. (2016) Detection vs. selection: Integration of genetic, epigenetic and environmental cues in fluctuating environments. Ecology Letters 19:1267–76.CrossRefGoogle ScholarPubMed
McNamara, J. M., Fawcett, T. W. & Houston, A. I. (2013) An adaptive response to uncertainty generates positive and negative contrast effects. Science 340:1084–86.CrossRefGoogle ScholarPubMed
McNamara, J. M., Higginson, A. D. & Houston, A. I. (2015) Costs of foraging predispose animals to obesity-related mortality when food is constantly abundant. PLoS ONE dx.doi.org/10.1371/journal.pone.0141811 141811.Google Scholar
McNamara, J. M. & Houston, A. I. (2009) Integrating function and mechanism. Trends in Ecology and Evolution 24(12):670–75. Available at: http://doi.org/10.1016/j.tree.2009.05.011.CrossRefGoogle ScholarPubMed
Shah, A. K., Mullainathan, S. & Shafir, E. (2012) Some consequences of having too little. Science 338(6107):682–85.Google Scholar
Wells, J. C. K. (2007a) The thrifty phenotype as an adaptive maternal effect. Biological Reviews 82:143–72.Google Scholar
Wells, J. C. K. (2009) Thrift: A guide to thrifty genes, thrifty phenotypes and thrifty norms. International Journal of Obesity 33(12):1331–38.Google Scholar