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Hunger increases delay discounting of food and non-food rewards

Overview of attention for article published in Psychonomic Bulletin & Review, September 2019
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Title
Hunger increases delay discounting of food and non-food rewards
Published in
Psychonomic Bulletin & Review, September 2019
DOI 10.3758/s13423-019-01655-0
Pubmed ID
Authors

Jordan Skrynka, Benjamin T. Vincent

Abstract

How do our valuation systems change to homeostatically correct undesirable psychological or physiological states, such as those caused by hunger? There is evidence that hunger increases discounting for food rewards, biasing choices towards smaller but sooner food reward over larger but later reward. However, it is not understood how hunger modulates delay discounting for non-food items. We outline and quantitatively evaluate six possible models of how our valuation systems modulate discounting of various commodities in the face of the undesirable state of being hungry. With a repeated-measures design, an experimental hunger manipulation, and quantitative modeling, we find strong evidence that hunger causes large increases in delay discounting for food, with an approximately 25% spillover effect to non-food commodities. The results provide evidence that in the face of hunger, our valuation systems increase discounting for commodities, which cannot achieve a desired state change as well as for those commodities that can. Given that strong delay discounting can cause negative outcomes in many non-food (consumer, investment, medical, or inter-personal) domains, the present findings suggest caution may be necessary when making decisions involving non-food outcomes while hungry.

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Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Student > Ph. D. Student 12 15%
Student > Bachelor 12 15%
Researcher 4 5%
Student > Doctoral Student 3 4%
Other 10 13%
Unknown 22 28%
Readers by discipline Count As %
Psychology 27 35%
Neuroscience 11 14%
Business, Management and Accounting 3 4%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 7 9%
Unknown 24 31%