Looking for the fundamentals of human nature

Deary, Vincent and Johnson, Wendy (2009) Looking for the fundamentals of human nature. Journal of Mental Health, 18 (6). pp. 459-466. ISSN 0963-8237

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.3109/09638230902946767

Abstract

Background: Reinforcement Sensitivity Theory (RST) is a theory which proposes that three basic neurophysiological systems explain and predict individual differences in personality, behaviour and experience of distress. Two of these systems are sensitive to aversive and appetitive stimuli respectively, and mediate avoidance and approach behaviour. The third is a conflict resolution module activated by conflict between and within the other two systems, and it mediates cautious approach and threat assessment.

Aims: To present an overview of RST and to outline how RST theory and research can be of use to patients, clinicians and clinical researchers in the field of mental health.

Method: Recent literature is reviewed to give an overview of the origins of the theory, followed by an account of how the three RST systems might explain different distress disorders, including anxiety and depression, phobic disorders and impulse control disorders. The RST distinction between anxiety and fear is described, and its relevance to the understanding of common distress disorders is outlined. Finally some of the clinical implications of the theory are considered alongside recent developments in cognitive behavioural therapy.

Conclusion: It is concluded that RST is a theoretically and practically useful explanatory framework for patients, clinicians and researchers.

Item Type: Article
Subjects: A300 Clinical Medicine
C800 Psychology
Department: Faculties > Health and Life Sciences > Psychology
Depositing User: Vincent Deary
Date Deposited: 07 Jun 2013 09:07
Last Modified: 12 Oct 2019 16:28
URI: http://nrl.northumbria.ac.uk/id/eprint/12815

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics