Department of Psychology, Institute of Psychiatry, King's College London
Department of Computer Science, University College London
Department of Computer Science, University College London, UK, and Universitat Politècnica de Catalunya, Barcelona, Spain
Department of Mental Health Sciences, University College London, Royal Free and University College Medical School, London
Health Methodology Research Group, School of Community Based Medicine, University of Manchester, Manchester
Department of Psychology, Institute of Psychiatry, King's College London
School of Medicine, Health Policy and Practice, University of East Anglia, Norwich
Department of Psychology, Institute of Psychiatry, King's College London, UK
Correspondence: Dr Daniel Freeman, Department of Psychology, PO Box 77, Institute of Psychiatry, King's College London, Denmark Hill, London, SE5 8AF, UK. Email: D.Freeman{at}iop.kcl.ac.uk
None. Funding detailed in Acknowledgements.
Background
Judging whether we can trust other people is central to social interaction, despite being error-prone. A fear of others can be instilled by the contemporary political and social climate. Unfounded mistrust is called paranoia, and in severe forms is a central symptom of schizophrenia.
Aims
To demonstrate that individuals without severe mental illness in the general population experience unfounded paranoid thoughts, and to determine factors predictive of paranoia using the first laboratory method of capturing the experience.
Method
Two hundred members of the general public were comprehensively assessed, and then entered a virtual reality train ride populated by neutral characters. Ordinal logistic regressions (controlling for age, gender, ethnicity, education, intellectual functioning, socio-economic status, train use, playing of computer games) were used to determine predictors of paranoia.
Results
The majority agreed that the characters were neutral, or even thought they were friendly. However, a substantial minority reported paranoid concerns. Paranoia was strongly predicted by anxiety, worry, perceptual anomalies and cognitive inflexibility.
Conclusions
This is the most unambiguous demonstration of paranoid ideation in the general public so far. Paranoia can be understood in terms of cognitive factors. The use of virtual reality should lead to rapid advances in the understanding of paranoia.
Related articles in BJP:
This article has been cited by other articles:
![]() |
M. Slater Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments Phil Trans R Soc B, December 12, 2009; 364(1535): 3549 - 3557. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. M. Lincoln, J. Lange, J. Burau, C. Exner, and S. Moritz The Effect of State Anxiety on Paranoid Ideation and Jumping to Conclusions. An Experimental Investigation Schizophr Bull, May 8, 2009; (2009) sbp029v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Schreier, D. Wolke, K. Thomas, J. Horwood, C. Hollis, D. Gunnell, G. Lewis, A. Thompson, S. Zammit, L. Duffy, et al. Prospective Study of Peer Victimization in Childhood and Psychotic Symptoms in a Nonclinical Population at Age 12 Years Arch Gen Psychiatry, May 1, 2009; 66(5): 527 - 536. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Ghosh Virtual reality and paranoia The British Journal of Psychiatry, July 1, 2008; 193(1): 81 - 81. [Full Text] [PDF] |
||||
![]() |
R. Braithwaite Virtual reality and paranoia The British Journal of Psychiatry, July 1, 2008; 193(1): 81 - 81. [Full Text] [PDF] |
||||
Read all eLetters