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Psychological strength assessed in late adolescence and risk for criminal behavior: a Swedish prospective cohort and twin analysis

Published online by Cambridge University Press:  06 August 2015

K. S. Kendler*
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
S. L. Lönn
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden
P. Lichtenstein
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
J. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
K. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics of VCU, Box 980126, Richmond, VA 23298-0126, USA. (Email: [email protected])

Abstract

Background.

Certain personality traits predispose to criminal behavior (CB). We further clarify this relationship in a Swedish national sample.

Method.

Psychological strength (PS) was assessed on a nine-point scale at personal interview in 1 653 721 Swedish men aged 18–20 years. We examined the association between PS and total, violent and recurrent CB over the lifetime (logistic regression), prospectively (Cox regression) and by bivariate Cholesky decomposition in 2507 monozygotic and 2244 dizygotic twin pairs (OpenMx).

Results.

Examining linear effects by logistic regression, PS was robustly associated with lifetime risk of total CB (per point, odds ratio = 0.74) and even more strongly associated with risk for violent (0.69) and recurrent CB (0.52). Prospective predictions of these three forms of CB by PS were similar, with hazard ratios of 0.80, 0.73 and 0.54, respectively. Twin modeling demonstrated that, for all three CB types, the association with PS arose almost entirely from familial effects. Common shared environment accounted for 72, 56 and 43% of the phenotypic correlation between PS and, respectively, total, violent and recurrent CB. Parallel figures for common genetic effects were for 24, 37 and 54%, respectively.

Conclusions.

PS is strongly related to risk for total CB, and even more strongly for violent and, especially, recurrent CB. This association is probably not causal but rather results from shared familial risk factors that make an impact both on PS and risk for CB. PS has a stronger overall correlation with more severe criminal outcomes and a higher proportion of that correlation results from common genetic factors.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

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References

Bezdjian, S, Tuvblad, C, Raine, A, Baker, LA (2011). The genetic and environmental covariation among psychopathic personality traits, and reactive and proactive aggression in childhood. Child Development 82, 12671281.Google Scholar
Boker, S, Neale, M, Maes, H, Wilde, M, Spiegel, M, Brick, T, Spies, J, Estabrook, R, Kenny, S, Bates, T, Mehta, P, Fox, J (2011). OpenMx: an open source extended structural equation modeling framework. Psychometrika 76, 306317.Google Scholar
Bouchard, TJ Jr (1994). Genes, environment, and personality. Science 264, 17001701.Google Scholar
Bouchard, TJ Jr, Loehlin, JC (2001). Genes, evolution, and personality. Behavior Genetics 31, 243273.Google Scholar
Carlstedt, B (1999). Validering av inskrivningsprövningen mot vitsord från den militära grundutbildningen (Validation of Enrolment Examining the Credentials of Basic Military Training). Klara AB Tryckeri i Karlstad: Försvarshögskolan.Google Scholar
Clausen, JA (1993). American Lives: Looking Back at Children of the Great Depression. University of Chicago Press: Chicago, IL.Google Scholar
Epstein, MK, Renk, K, Duhig, AM, Bosco, GL, Phares, V (2004). Interparental conflict, adolescent behavioral problems, and adolescent competence: convergent and discriminant validity. Educational and Psychological Measurement 64, 475495.Google Scholar
John, O (1990). The “big five” factor taxonomy: dimensions of personality in the natural language and in questionnaires. In Handbook of Personality Theory and Research (ed. Pervin, L.), pp. 66100. Guilford Press: New York.Google Scholar
John, OP, Caspi, A, Robins, RW, Moffitt, TE, Stouthamer-Loeber, M (1994). The “little five”: exploring the nomological network of the five-factor model of personality in adolescent boys. Child Development 65, 160178.Google Scholar
Jones, SE, Miller, JD, Lynam, DR (2011). Personality, antisocial behavior, and aggression: a meta-analysis review. Journal of Criminal Justice 39, 329337.Google Scholar
Kendler, KS, Eaves, LJ (1989). The estimation of probandwise concordance in twins: the effect of unequal ascertainment. Acta Geneticae Medicae et Gemellologiae 38, 253270.Google Scholar
Kendler, KS, Larsson Lönn, S, Morris, NA, Sundquist, J, Långström, N, Sundquist, K (2014). A Swedish National Adoption Study of Criminality. Psychological Medicine 44, 19131925.Google Scholar
Kendler, KS, Maes, HH, Lönn, SL, Morris, NA, Lichtenstein, P, Sundquist, J, Sundquist, K (2015). A Swedish national twin study of criminal behavior and its violent, white-collar and property subtypes. Psychological Medicine 45, 22532262.CrossRefGoogle ScholarPubMed
Kendler, KS, Patrick, CJ, Larsson, H, Gardner, CO, Lichtenstein, P (2013). Genetic and environmental risk factors in males for self-report externalizing traits in mid-adolescence and criminal behavior through young adulthood. Psychological Medicine 43, 21612168.Google Scholar
Krueger, RF, Schmutte, PS, Caspi, A, Moffitt, TE, Campbell, K, Silva, PA (1994). Personality traits are linked to crime among men and women: evidence from a birth cohort. Journal of Abnormal Psychology 103, 328338.Google Scholar
Laub, JH & Sampson, RJ (2006). Shared Beginnings, Divergent Lives: Delinquent Boys to Age 70. Harvard University Press: Cambridge, MA.Google Scholar
Leboeuf-Yde, C, Larsen, K, Ahlstrand, I, Volinn, E (2006). Coping and back problems: analysis of multiple data sources on an entire cross-sectional cohort of Swedish military recruits. BMC Musculoskeletal Disorders 7, 39.Google Scholar
Lichtenstein, P, de Faire, U, Floderus, B, Svartengren, M, Svedberg, P, Pedersen, NL (2002). The Swedish Twin Registry: a unique resource for clinical, epidemiological and genetic studies. Journal of Internal Medicine 252, 184205.Google Scholar
Loehlin, JC (1992). Genes and Environment in Personality Development. Sage Publications: Newbury Park, CA.Google Scholar
Loehlin, JC, McCrae, RR, Costa, PT (1998). Heritabilities of common and measure-specific components of the big five personality factors. Journal of Research in Personality 32, 431453.Google Scholar
Matteson, LK, McGue, M, Iacono, WG (2013). Shared environmental influences on personality: a combined twin and adoption approach. Behavior Genetics 43, 491504.Google Scholar
Miller, JD, Lynam, D (2001). Structural models of personality and their relation to antisocial behavior: a meta-analytic review. Criminology 39, 765798.Google Scholar
Moffitt, TE, Caspi, A, Rutter, M, Silva, PA (2002). Sex Differences in Antisocial Behavior: Conduct Disorder, Delinquency, and Violence in the Dunedin Longitudinal Study. Cambridge University Press: Cambridge, UK.Google Scholar
Morizot, J (2015). The contribution of temperament and personality traits to criminal and antisocial behavior development and desistance. In The Development of Criminal and Antisocial Behavior (ed. Morizot, J. and Kazemian, L.) , pp. 137165. Springer International Publishing: Cham, Switzerland.Google Scholar
Neale, MC, Eaves, LJ, Kendler, KS (1994). The power of the classical twin study to resolve variation in threshold traits. Behavior Genetics 24, 239258.Google Scholar
Nilsson, PM, Nilsson, JA, Ostergren, PO, Rasmussen, F (2004). Fetal growth predicts stress susceptibility independent of parental education in 161991 adolescent Swedish male conscripts. Journal of Epidemiology and Community Health 58, 571573.Google Scholar
Nilsson, PM, Nyberg, P, Ostergren, PO (2001). Increased susceptibility to stress at a psychological assessment of stress tolerance is associated with impaired fetal growth. International Journal of Epidemiology 30, 7580.CrossRefGoogle Scholar
Pratt, TC, Cullen, FT (2000). The empirical status of Gottfredson and Hirschi's general theory of crime: a meta-analysis. Criminology 38, 931964.Google Scholar
SAS Institute Inc. (2011). SAS/STAT User's Guide, Version 9.3. SAS Institute Inc.: Cary, NC.Google Scholar
Stouthamer-Loeber, M, Loeber, R, Wei, E, Farrington, DP, Wikstrom, PO (2002). Risk and promotive effects in the explanation of persistent serious delinquency in boys. Journal of Counseling and Clinical Psychology 70, 111123.Google Scholar
Sullivan, PF, Eaves, LJ (2002). Evaluation of analyses of univariate discrete twin data. Behavior Genetics 32, 221227.Google Scholar
Swedish National Council for Crime Prevention (2008). Victims’ Tendency to Report Crime, Report 2008:12. Brottsforebyggande radet: Stockholm.Google Scholar
Wolfgang, ME, Figlio, RM, Sellin, T (1972). Delinquency in a Birth Cohort: Studies in Crime and Justice. University of Chicago Press: Chicago, IL.Google Scholar
Yu, R, Geddes, JR, Fazel, S (2012). Personality disorders, violence, and antisocial behavior: a systematic review and meta-regression analysis. Journal of Personality Disorders 26, 775792.Google Scholar
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