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Objective predictors of outcome in forensic mental health services—a systematic review

Published online by Cambridge University Press:  22 January 2016

Ottilie Sedgwick ,
Susan Young ,
Mrigendra Das  and
Veena Kumari
Ottilie Sedgwick*
Affiliation:
Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK Broadmoor Hospital, West London Mental Health Trust, Berkshire, UK National Institute for Health Research Biomedical Research Centre for Mental Health, Institute of Psychiatry and South London and Maudsley NHS Trust, London, UK
Susan Young
Affiliation:
Broadmoor Hospital, West London Mental Health Trust, Berkshire, UK Centre for Mental Health, Faculty of Medicine, Imperial College London, London, UK
Mrigendra Das
Affiliation:
Broadmoor Hospital, West London Mental Health Trust, Berkshire, UK
Veena Kumari
Affiliation:
Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK National Institute for Health Research Biomedical Research Centre for Mental Health, Institute of Psychiatry and South London and Maudsley NHS Trust, London, UK
*
*Address for correspondence: Ottilie Sedgwick, Department of Psychology (PO78), Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London SE5 8AF, UK. (Email: [email protected])
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Abstract

This systematic review aimed to examine whether neurobiological methods, or other methods independent of clinical judgment, have been investigated to assist decision making in forensic mental health services and, if so, whether this may be a useful strategy for predicting outcomes. OVID-Medline, Embase, and PsychInfo (inception–January 2015) were searched, limiting to English and human studies, using terms relating to “predict,” “outcome,” “psychiatry,” and “forensic” to identify primary research articles reporting on predictors of outcome in forensic mental health services not reliant on clinical judgment/self-report. Fifty studies investigating demographic, neuropsychological/neurophysiological, and biological predictors were identified, reporting on 3 broad outcomes: (i) inpatient violence, (ii) length of stay, (iii) reoffending. Factors associated positively, negatively, and showing no relationship with each outcome were extracted and compiled across studies. Of various demographic predictors examined, the most consistent associations were between previous psychiatric admissions and inpatient violence; a more “severe” offense and a longer length of stay; and young age and reoffending. Poor performance on tests of cognitive control and social cognition predicted inpatient violence while a neurophysiological measure of impulsivity showed utility predicting reoffending. Serum cholesterol and creatine kinase emerged as biological factors with potential to predict future inpatient violence. Research in this field is in its infancy, but investigations conducted to date indicate that using objective markers is a promising strategy to predict clinically significant outcomes.

Keywords

Forensic mental healthinpatient violence outcomelength of staymarkerneuropsychology predictorreoffending
Type
Review Article
Information
CNS Spectrums , Volume 21 , Supplement 6 , December 2016 , pp. 430 - 444
Copyright
© Cambridge University Press 2016 

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Footnotes

Ottilie Sedgwick receives funding support from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley National Health Service (NHS) Foundation Trust and King’s College London. Veena Kumari is part funded by the Biomedical Research Centre for Mental Health at the Institute of Psychiatry, Psychology and Neuroscience King’s College London, and the South London and Maudsley NHS Foundation Trust, UK. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health. The authors wish to thank Hannah Mullens for reading and providing constructive comments on an early draft of the manuscript.

References

1. Rutherford, M, Duggan, S. Forensic Mental Health Services: Facts and Figures on Current Provision. London: The Sainsbury Centre for Mental Health; 2007.Google Scholar
2. Ross, T, Querengasser, J, Fontao, MI, Hoffmann, K. Predicting discharge in forensic psychiatry: the legal and psychosocial factors associated with long and short stays in forensic psychiatric hospitals. Int J Law Psychiatry. 2012; 35(3): 213–221.CrossRefGoogle ScholarPubMed
3. Coid, J, Hickey, N, Kahtan, N, Zhang, T, Yang, M. Patients discharged from medium secure forensic psychiatry services: reconvictions and risk factors. Br J Psychiatry. 2007; 190(3): 223–229.CrossRefGoogle ScholarPubMed
4. Glorney, E, Perkins, D, Adshead, G, et al. Domains of need in a high secure hospital setting: a model for streamlining care and reducing length of stay. International Journal of Forensic Mental Health. 2010; 9(2): 138–148.CrossRefGoogle Scholar
5. Gudjonsson, GH, Young, S. The role and scope of forensic clinical psychology in secure unit provisions: a proposed service model for psychological therapies. Journal of Forensic Psychiatry & Psychology. 2007; 18(4): 534–556.CrossRefGoogle Scholar
6. Webster, C, Douglas, K, Eaves, D, Hart, S. HCR-20 Assessing Risk for Violence Version 2 Burnaby, BC: Mental Health, Law and Policy Institute, Simon Fraser University; 1997.Google Scholar
7. O’Shea, LE, Mitchell, AE, Picchioni, MM, Dickens, GL. Moderators of the predictive efficacy of the Historical, Clinical and Risk Management-20 for aggression in psychiatric facilities: systematic review and meta-analysis. Aggression and Violent Behavior. 2013; 18(2): 255–270.CrossRefGoogle Scholar
8. Hare, RD, Clark, D, Grann, M, Thornton, D. Psychopathy and the predictive validity of the PCL-R: an international perspective. Behav Sci Law. 2000; 18(5): 623–645.3.0.CO;2-W>CrossRefGoogle ScholarPubMed
9. Walters, GD. Predicting institutional adjustment and recidivism with the psychopathy checklist factor scores: a meta-analysis. Law Hum Behav. 2003; 27(5): 541–558.CrossRefGoogle ScholarPubMed
10. Hanson, RK, Morton-Bourgon, KE. The accuracy of recidivism risk assessments for sexual offenders: a meta-analysis of 118 prediction studies. Psychol Assess. 2009; 21(1): 1–21.CrossRefGoogle ScholarPubMed
11. Singh, JP, Fazel, S, Gueorguieva, R, Buchanan, A. Rates of violence in patients classified as high risk by structured risk assessment instruments. Br J Psychiatry. 2014; 204(3): 180–187.CrossRefGoogle ScholarPubMed
12. Morrissey, C, Beeley, C, Milton, J. Longitudinal HCR-20 scores in a high-secure psychiatric hospital. Crim Behav Ment Health. 2014; 24(3): 169–180.CrossRefGoogle Scholar
13. Barkataki, I, Kumari, V, Das, M, et al. A neuropsychological investigation into violence and mental illness. Schizophr Res. 2005; 74(1): 1–13.CrossRefGoogle ScholarPubMed
14. Barkataki, I, Kumari, V, Das, M, Sumich, A, Taylor, P, Sharma, T. Neural correlates of deficient response inhibition in mentally disordered violent individuals. Behav Sci Law. 2008; 26(1): 51–64.CrossRefGoogle ScholarPubMed
15. Kumari, V, Aasen, I, Taylor, P, et al. Neural dysfunction and violence in schizophrenia: an fMRI investigation. Schizophr Res. 2006; 84(1): 144–164.CrossRefGoogle ScholarPubMed
16. Kumari, V, Das, M, Hodgins, S, et al. Association between violent behaviour and impaired prepulse inhibition of the startle response in antisocial personality disorder and schizophrenia. Behav Brain Res. 2005; 158(1): 159–166.CrossRefGoogle Scholar
17. Kumari, V, Das, M, Taylor, PJ, et al. Neural and behavioural responses to threat in men with a history of serious violence and schizophrenia or antisocial personality disorder. Schizophr Res. 2009; 110(1–3): 47–58.CrossRefGoogle ScholarPubMed
18. Letourneau, EJ, Armstrong, KS. Recidivism rates for registered and nonregistered juvenile sexual offenders. Sexual Abuse. 2008; 20(4): 393–408.CrossRefGoogle ScholarPubMed
19. Bastert, E, Schlafke, D, Pein, A, Kupke, F, Fegert, JM. Mentally challenged patients in a forensic hospital: a feasibility study concerning the executive functions of forensic patients with organic brain disorder, learning disability, or mental retardation. Int J Law Psychiatry. 2012; 35(3): 207–212.CrossRefGoogle ScholarPubMed
20. Dolan, M, Doyle, M. Violence risk prediction: clinical and actuarial measures and the role of the Psychopathy Checklist. Br J Psychiatry. 2000; 177(4): 303–311.CrossRefGoogle ScholarPubMed
21. Harris, GT, Rice, ME. Risk appraisal and management of violent behavior. Psychiatr Serv. 1997; 48(9): 1168–1176.Google ScholarPubMed
22. McDermott, BE, Holoyda, BJ. Assessment of aggression in inpatient settings. CNS Spectr. 2014; 19(5): 425–431.CrossRefGoogle ScholarPubMed
23. Zapf, PA, Roesch, R. Future directions in the restoration of competency to stand trial. Current Directions in Psychological Science. 2011; 20(1): 43–47.CrossRefGoogle Scholar
24. Ball, EM, Young, D, Dotson, LA, Brothers, LT, Robbins, DT. Factors associated with dangerous behaviour in forensic inpatients: results from a pilot study. Bull Am Acad Psychiatry Law. 1994; 22(4): 605–620.Google ScholarPubMed
25. Dietz, PE, Rada, RT. Battery incidents and batterers in a maximum security hospital. Arch Gen Psychiatry. 1982; 39(1): 31–34.CrossRefGoogle Scholar
26. Hillbrand, M. Aggression against self and aggression against others in violent psychiatric patients. J Consult Clin Psychol. 1995; 63(4): 668–671.CrossRefGoogle ScholarPubMed
27. Hoptman, MJ, Yates, KF, Patalinjug, MB, Wack, RC, Convit, A. Clinical prediction of assaultive behavior among male psychiatric patients at a maximum-security forensic facility. Psychiatr Serv. 1999; 50(11): 1461–1466.CrossRefGoogle Scholar
28. Lussier, P, Verdun-Jones, S, Deslauriers-Varin, N, Nicholls, T, Brink, J. Chronic violent patients in an inpatient psychiatric hospital: prevalence, description, and identification. Criminal Justice and Behavior. 2009; 37(1): 5–28.CrossRefGoogle Scholar
29. Rasmussen, K, Levander, S. Individual rather than situational characteristics predict violence in a maximum security hospital. J Interpers Violence. 1996; 11(3): 376–390.CrossRefGoogle Scholar
30. Rogers, P, Watt, A, Gray, NS, MacCulloch, M, Gournay, K. Content of command hallucinations predicts self-harm but not violence in a medium secure unit. Journal of Forensic Psychiatry. 2002; 13(2): 251–262.CrossRefGoogle Scholar
31. Thomas, SD, Daffern, M, Martin, T, Ogloff, JR, Thomson, LD, Ferguson, M. Factors associated with seclusion in a statewide forensic psychiatric service in Australia over a 2-year period. Int J Ment Health Nurs. 2009; 18(1): 2–9.CrossRefGoogle Scholar
32. Foster, HG, Hillbrand, M, Silverstein, M. Neuropsychological deficit and aggressive behaviour: a prospective study. Prog Neuropsychopharmacol Biol Psychiatry. 1993; 17(6): 939–946.CrossRefGoogle ScholarPubMed
33. Yudofsky, SC, Silver, JM, Jackson, W, Endicott, J, Williams, D. The overt aggression scale for the objective rating of verbal and physical aggression. Am J Psychiatry. 1986; 143(1): 35–39.Google ScholarPubMed
34. Benton, AL, Varney, NR, Hamsher, KS. Visuospatial judgment: a clinical test. Arch Neurol. 1978; 35(6): 364–367.CrossRefGoogle ScholarPubMed
35. Stroop, JR. Studies of interference in serial verbal reactions. J Exp Psychol. 1935; 18(6): 643–662.CrossRefGoogle Scholar
36. Enticott, PG, Ogloff, JR, Bradshaw, JL, Daffern, M. Contrary to popular belief, a lack of behavioural inhibitory control may not be associated with aggression. Crim Behav Ment Health. 2007; 17(3): 179–183.CrossRefGoogle Scholar
37. Enticott, PG, Ogloff, JRP, Bradshaw, JL. Associations between laboratory measures of executive inhibitory control and self-reported impulsivity. Personality and Individual Differences. 2006; 41(2): 285–294.CrossRefGoogle Scholar
38. Murphy, D. Theory of mind functioning in mentally disordered offenders detained in high security psychiatric care: its relationship to clinical outcome, need and risk. Crim Behav Ment Health. 2007; 17(5): 300–311.CrossRefGoogle ScholarPubMed
39. Wechsler, D. Wechsler Adult Intelligence Scale, 3rd ed. San Antonio, TX: Harcourt Assessment; 1997.Google Scholar
40. Reitan, RM, Wolfson, D. Category test and trail making test as measures of frontal lobe functions. Clinical Neuropsychologist. 1995; 9(1): 50–56.CrossRefGoogle Scholar
41. Baron-Cohen, S, Wheelwright, S, Hill, J, Raste, Y, Plumb, I. The “Reading the Mind in the Eyes” Test Revised Version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. J Child Psychol Psychiatry. 2001; 42(2): 241–251.CrossRefGoogle ScholarPubMed
42. Frith, CD, Corcoran, R. Exploring ‘theory of mind’ in people with schizophrenia. Psychol Med. 1996; 26(3): 521–530.CrossRefGoogle ScholarPubMed
43. Blair, RJ. A cognitive developmental approach to mortality: investigating the psychopath. Cognition. 1995; 57(1): 1–29.CrossRefGoogle ScholarPubMed
44. Mathersul, D, McDonald, S, Rushby, JA. Understanding advanced theory of mind and empathy in high-functioning adults with autism spectrum disorder. J Clin Exp Neuropsychol. 2013; 35(6): 655–668.CrossRefGoogle ScholarPubMed
45. Roncone, R, Falloon, IRH, Mazza, M, et al. Is theory of mind in schizophrenia more strongly associated with clinical and social functioning than with neurocognitive deficits? Psychopathology. 2002; 35(5): 280–288.CrossRefGoogle ScholarPubMed
46. Hillbrand, M, Spitz, RT, Foster, HG. Serum cholesterol and aggression in hospitalized male forensic patients. J Behav Med. 1995; 18(1): 33–43.CrossRefGoogle ScholarPubMed
47. Hillbrand, M, Spitz, RT, Foster, HG, Krystal, JH, Young, JL. Creatine kinase elevations and aggressive behavior in hospitalized forensic patients. Psychiatr Q. 1998; 69(1): 69–82.CrossRefGoogle ScholarPubMed
48. Repo-Tiihonen, E, Paavola, P, Halonen, P, Tiihonen, J. Seclusion treatment measures and serum cholesterol levels among Finnish male forensic psychiatric patients. Journal of Forensic Psychiatry. 2002; 13(1): 157–165.CrossRefGoogle Scholar
49. Spitz, RT, Hillbrand, M, Foster, HG, Svetina, CJ. Ethnicity, aggression and serum creatine kinase in hospitalized male forensic patients. Ethn Dis. 1997; 7(3): 259–270.Google ScholarPubMed
50. Wallimann, T, Wyss, M, Brdiczka, D, Nicolay, K, Eppenberger, HM. Intracellular compartmentation, structure and function of creatine kinase isoenzymes in tissues with high and fluctuating energy demands: the ‘phosphocreatine circuit’ for cellular energy homeostas. Biochem J. 1992; 281(1): 21–40.CrossRefGoogle Scholar
51. Baldwin, LJ, Menditto, AA, Beck, NC, Smith, SM. Factors influencing length of hospitalization for NGRI acquittees in a maximum security facility. Journal of Psychiatry & Law. 1992; 20(2): 257–267.CrossRefGoogle Scholar
52. Edwards, J, Steed, P, Murray, K. Clinical and forensic outcome 2 years and 5 years after admission to a medium secure unit. Journal of Forensic Psychiatry. 2002; 13(1): 68–87.CrossRefGoogle Scholar
53. Long, CG, Dolley, O. Factors predictive of length of stay for women in medium secure settings. J Psychiatr Ment Health Nurs. 2012; 19(10): 870–874.CrossRefGoogle ScholarPubMed
54. Rice, ME, Quinsey, VL, Houghton, R. Predicting treatment outcome and recidivism among patients in a maximum security token economy. Behav Sci Law. 1990; 8(3): 313–326.CrossRefGoogle Scholar
55. Skipworth, J, Brinded, P, Chaplow, D, Frampton, C. Insanity acquittee outcomes in New Zealand. Aust N Z J Psychiatry. 2006; 40(11–12): 1003–1009.CrossRefGoogle ScholarPubMed
56. Steadman, HJ, Pasewark, RA, Hawkins, M, Kiser, M, Bieber, S. Hospitalization length of insanity acquittees. J Clin Psychol. 1983; 39(4): 611–614.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
57. Green, B, Baglioni, AJ. Length of stay, leave and reoffending by patients from a Queensland security patients hospital. Aust N Z J Psychiatry. 1998; 32(6): 839–847.CrossRefGoogle ScholarPubMed
58. Andreasson, H, Nyman, M, Krona, H, et al. Predictors of length of stay in forensic psychiatry: the influence of perceived risk of violence. Int J Law Psychiatry. 2014; 37(6): 635–642.CrossRefGoogle ScholarPubMed
59. Moran, MJ, Fragala, R, Wise, BF, Novak, TL. Factors affecting length of stay on maximum security in a forensic psychiatric hospital. International Journal of Offender Therapy and Comparative Criminology. 1999; 43(3): 262–274.CrossRefGoogle Scholar
60. Brown, K, Fahy, T. Medium secure units: pathways of care and time to discharge over a four-year period in South London. Journal of Forensic Psychiatry & Psychology. 2009; 20(2): 268–277.CrossRefGoogle Scholar
61. Castro, M, Cockerton, T, Birke, S. From discharge to follow-up: a small scale study of medium secure provision in the independent sector. British Journal of Forensic Practice. 2002; 4(3): 31–39.CrossRefGoogle Scholar
62. Baxter, R, Rabe-Hesketh, S, Parrott, J. Characteristics, needs and reoffending in a group of patients with schizophrenia formerly treated in medium security. Journal of Forensic Psychiatry. 1999; 10(1): 69–83.CrossRefGoogle Scholar
63. Buchanan, A. Criminal conviction after discharge from special (high security) hospital: incidence in the first 10 years. Br J Psychiatry. 1998; 172(6): 472–476.CrossRefGoogle ScholarPubMed
64. Buchanan, A, Leese, M. Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic. Br J Psychiatry. 2006; 188(5): 472–478.CrossRefGoogle Scholar
65. Cohen, MI, Spodak, MK, Silver, SB, Williams, K. Predicting outcome of insanity acquittees released to the community. Behav Sci Law. 1988; 6(4): 515–530.CrossRefGoogle Scholar
66. Friendship, C, McClintock, T, Rutter, S, Maden, A. Re-offending: patients discharged from a regional secure unit. Crim Behav Ment Health. 1999; 9(3): 226–236.CrossRefGoogle Scholar
67. Maden, A, Rutter, S, McClintock, T, Friendship, C, Gunn, J. Outcome of admission to a medium secure psychiatric unit. I. Short- and long-term outcome. Br J Psychiatry. 1999; 175(4): 313–316.CrossRefGoogle ScholarPubMed
68. Philipse, MW, Koeter, MW, van der Staak, CP, van den Brink, W. Static and dynamic patient characteristics as predictors of criminal recidivism: a prospective study in a Dutch forensic psychiatric sample. Law Hum Behav. 2006; 30(3): 309–327.CrossRefGoogle Scholar
69. Phillips, HK, Gray, NS, MacCulloch, SI, et al. Risk assessment in offenders with mental disorders: relative efficacy of personal demographic, criminal history, and clinical variables. J Interpers Violence. 2005; 20(7): 833–847.CrossRefGoogle ScholarPubMed
70. Quinsey, VL, Rice, ME, Harris, GT. Actuarial prediction of sexual recidivism. J Interpers Violence. 1995; 10(1): 85–105.CrossRefGoogle Scholar
71. Rice, ME, Harris, GT. Predicting the recidivism of mentally disordered firesetters. J Interpers Violence. 1996; 11(3): 364–375.CrossRefGoogle Scholar
72. Rice, ME, Harris, GT, Lang, C, Bell, V. Recidivism among male insanity acquittees. Journal of Psychiatry & Law. 1990; 18(3–4): 379–403.CrossRefGoogle Scholar
73. Duncan, JM, Short, A, Lewis, JSG, Barrett, PT. Re-admissions to the State Hospital at Carstairs, 1992–1997. Health Bull (Edinb). 2002; 60(1): 70–82.Google Scholar
74. Tennent, G, Way, C. The English Special Hospital—a 12-17 year follow-up study: a comparison of violent and non-violent re-offenders and non-offenders. Med Sci Law. 1984; 24(2): 81–91.CrossRefGoogle ScholarPubMed
75. Quinsey, VL, Maguire, A. Maximum security psychiatric patients: actuarial and clinical prediction of dangerousness. J Interpers Violence. 1986; 1(2): 143–171.CrossRefGoogle Scholar
76. Zonana, HV, Bartel, RL, Wells, JA, Buchanan, JA, Getz, MA. Part II: sex differences in personal found not guilty by reason of insanity: analysis of data from the Connecticut NGRI Registry. Bull Am Acad Psychiatry Law. 1990; 18(2): 129–151.Google Scholar
77. Rice, ME, Harris, GT, Quinsey, VL. A follow-up of rapists assessed in a maximum-security psychiatric facility. J Interpers Violence. 1990; 5(4): 435–448.CrossRefGoogle Scholar
78. Maden, A, Friendship, C, McClintock, T, Rutter, S. Outcome of admission to a medium secure psychiatric unit. 2. Role of ethnic origin. Br J Psychiatry. 1999; 175(4): 317–321.CrossRefGoogle ScholarPubMed
79. Reiss, D, Grubin, D, Meux, C. Young ‘psychopaths’ in special hospital: treatment and outcome. Br J Psychiatry. 1996; 168(1): 99–104.CrossRefGoogle ScholarPubMed
80. Howard, R, McCarthy, L, Huband, N, Duggan, C. Re-offending in forensic patients released from secure care: the role of antisocial/borderline personality disorder co-morbidity, substance dependence and severe childhood conduct disorder. Crim Behav Ment Health. 2013; 23(3): 191–202.CrossRefGoogle ScholarPubMed
81. Bailey, J, Macculloch, M. Patterns of reconviction in patients discharged directly to the community from a special hospital: implications for aftercare. Journal of Forensic Psychiatry. 1992; 3(3): 445–461.CrossRefGoogle Scholar
82. Quinn, P, Ward, M. What happens to special hospital patients admitted to medium security? Med Sci Law. 2000; 40(4): 345–349.CrossRefGoogle ScholarPubMed
83. Howard, R, Lumsden, J. A neurophysiological predictor of reoffending in special hospital patients. Crim Behav Ment Health. 1996; 6(2): 147–156.CrossRefGoogle Scholar
84. Howard, RC, Fenton, GW, Fenwick, PBC. The contingent negative variation, personality and antisocial behaviour. Br J Psychiatry. 1984; 144(5): 463–474.CrossRefGoogle ScholarPubMed
85. Howard, RC. Brain waves, dangerousness and deviant desires. Journal of Forensic Psychiatry. 2002; 13(2): 367–384.CrossRefGoogle Scholar
86. Harris, ST, Oakley, C, Picchioni, M. Quantifying violence in mental health research. Aggression and Violent Behavior. 2013; 18(6): 695–701.CrossRefGoogle Scholar
87. Bechara, A, Damasio, AR, Damasio, H, Anderson, SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994; 50(1): 7–15.CrossRefGoogle ScholarPubMed
88. Bass, SLS, Nussbaum, D. Decision making and aggression in forensic psychiatric inpatients. Criminal Justice and Behavior. 2010; 37(4): 365–383.CrossRefGoogle Scholar
89. Fullam, R, Dolan, MC. Executive function and in-patient violence in forensic patients with schizophrenia. Br J Psychiatry. 2008; 193(3): 247–253.CrossRefGoogle ScholarPubMed
90. Nelson, HE, Willison, JR. The revised national adult reading test - Test manual. Windsor, UK: NFER-Nelson. Google Scholar
91. Wechsler, D. The Wechsler Abbreviated Scale of Intelligence. New York: The Psychological Corporation: Harcourt Brace & Company; 1999.Google Scholar
92. Rubia, K, Russell, T, Overmeyer, S, et al. Mapping motor inhibition: conjunctive brain activations across different versions of go/no-go and stop tasks. Neuroimage. 2001; 13(2): 250–261.CrossRefGoogle ScholarPubMed
93. Fray, PJ, Robbins, TW. CANTAB battery: proposed utility in neurotoxicology. Neurotoxicol Teratol. 1996; 18(4): 499–504.CrossRefGoogle ScholarPubMed
94. Golomb, BA, Stattin, H, Mednick, S. Low cholesterol and violent crime. J Psychiatr Res. 2000; 34(4–5): 301–309.CrossRefGoogle ScholarPubMed
95. Kaplan, JR. Assessing the observed relationship between low cholesterol and violence-related mortality: implications for suicide risk. Ann N Y Acad Sci. 1997; 836: 57–80.CrossRefGoogle ScholarPubMed
96. Roaldset, JO, Bakken, AM, Bjørkly, S. A prospective study of lipids and serotonin as risk markers of violence and self-harm in acute psychiatric patients. Psychiat Res. 2011; 186(2–3): 293–299.CrossRefGoogle ScholarPubMed
97. Virkkunen, M, Rissanen, A, Franssila-Kallunki, A, Tiihonen, J. Low non-oxidative glucose metabolism and violent offending: an 8-year prospective follow-up study. Psychiatr Res. 2009; 168(1): 26–31.CrossRefGoogle ScholarPubMed
98. Stalenheim, EG. Long-term validity of biological markers of psychopathy and criminal recidivism: follow-up 6-8 years after forensic psychiatric investigation. Psychiatr Res. 2004; 121(3): 281–291.CrossRefGoogle ScholarPubMed
99. Singh, I, Rose, N. Biomarkers in psychiatry. Nature. 2009; 460(7252): 202–207.CrossRefGoogle ScholarPubMed
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