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Cited by 309

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An Evolutionary Life History Framework for Psychopathology

Open access
Del Giudice, Marco·2014·Psychological Inquiry

Abstract

In this article, I outline a general framework for the evolutionary analysis of mental disorders based on the concepts of life history theory. I synthesize and extend a large body of work showing that individual differences in life history strategy set the stage for the development of psychopathology. My analysis centers on the novel distinction between fast spectrum and slow spectrum disorders. I describe four main causal pathways from life history strategies to psychopathology, argue that psychopathology can arise at both ends of the fast–slow continuum of life history variation, and provide heuristic criteria for classifying disorders as fast or slow spectrum pathologies. I then apply the fast–slow distinction to a diverse sample of common mental disorders: externalizing disorders, schizophrenia and autism spectrum disorders, obsessive-compulsive disorders, eating disorders, and depression. The framework integrates previously disconnected models of psychopathology within a common frame of reference and has far-reaching implications for the classification of mental disorders.

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Metadata

Authors
Del Giudice, M.
Venue
Psychological Inquiry
Published
2014-08-19
Volume
25
Issue
3-4
Pages
261-300
ISSN
  • 1047-840X (ISSN-L)
  • 1532-7965
OpenAlex
W2087366985
Cited by
309
References
100
FWCI
34.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An Evolutionary Life History Framework for Psychopathology. https://app.cochat.ai/papers/10.1080/1047840x.2014.884918
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Del Giudice, M. (2014). An Evolutionary Life History Framework for Psychopathology. Psychological Inquiry. https://doi.org/10.1080/1047840x.2014.884918

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.