title: An evolutionary model of low mood states.
abstract: It has been suggested that low mood in humans is an adaptive response to unfavourable circumstances, and that the anhedonia, pessimism and fatigue that often accompany it function to minimise risk until circumstances improve. While this is plausible, it would be possible to make the opposite prediction equally plausibly: individuals in bad circumstances should take greater risks in order to improve their situations. Here, I present a simple analytical model adapted from the risk-sensitive foraging literature. It shows that in dire states, individuals should be risk-prone, in poor states, risk-averse, and in good states, risk-prone again. I discuss how the various kinds of mood state observed in humans might be understood as mechanisms for adaptively adjusting behavioural risk-taking to the current situation.
authors.affiliation: Centre for Behaviour and Evolution, Institute of Neuroscience, Newcastle University, Henry Wellcome Building, Framlington Place, Newcastle NE2 24HH, UK. daniel.nettle@ncl.ac.uk
authors.forename: Daniel
authors.initials: D
authors.lastname: Nettle
mesh_terms: D000339:Affect / Q000502:physiology*; D000818:Animals; D005075:Biological Evolution; D002755:Choice Behavior / Q000502:physiology; D003863:Depression / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D008960:Models, Psychological; D012309:Risk-Taking