Does debt increase risk? A mixed methods approach to studying the potential underlying risk factors in the relationship between debt and crime

References

• Aaltonen, M., Oksanen, A., & Kivivuori, J. (2016). Debt problems and crime. Criminology, 54(2), 307–331. https://doi.org/10.1111/1745-9125.12103
   Web of Science ®Google Scholar
• Barfuss, W., Massara, G. P., Di Matteo, T., & Aste, T. (2016). Parsimonious modeling with information filtering networks. Physical Review E, 94(6), 062306. https://doi.org/10.1103/PhysRevE.94.062306
   PubMed Web of Science ®Google Scholar
• Bjerk, D. (2007). Measuring the relationship between youth criminal participation and household economic resources. Journal of Quantitative Criminology, 23(1), 23–39. https://doi.org/10.1007/s10940-006-9017-8
   Web of Science ®Google Scholar
• Blom, M., Weijters, G., & Van Der Laan, A. M. (2011). Problemen met geld en delinquent gedrag van adolescenten [Problems with money and criminal behavior of adolescents]. WODC.
   Google Scholar
• Bonta, J., & Andrews, D. A. (2017). Psychology of Criminal Conduct. Routledge.
   Google Scholar
• Borsboom, J. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375
   PubMed Web of Science ®Google Scholar
• Borsboom, J., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
   PubMed Web of Science ®Google Scholar
• Bosker, J. M. H. (2015). Linking theory and practice in probation: Structured decision support for case management plans. Radboud University Nijmegen.
   Google Scholar
• Comanor, W. S., & Phillips, L. (2002). The impact of income and family structure on delinquency. Journal of Applied Economics, 5(2), 209–232. https://doi.org/10.1080/15140326.2002.12040577
   Google Scholar
• Cullen, F. T., & Gendreau, P. (2001). From nothing works to what works: Changing professional ideology in the 21st century. The Prison Journal, 81(3), 313–338. https://doi.org/10.1177/0032885501081003002
   Google Scholar
• de Jong, J. D. (2017). Denktank 9: Schulden [Think Tank 9: Debt]. Leiden University of Applied Sciences.
   Google Scholar
• de Vogel, V., Schaftenaar, P., & Clercx, M. (2019). Improving continuity of forensic mental health care. Journal of Forensic Practice, 21(3), 180–189. https://doi.org/10.1108/JFP-04-2019-0012
   Web of Science ®Google Scholar
• de Vries Robbé, M. (2014). Protective factors validation of the Structured Assessment of Protective Factors for violence risk in forensic psychiatry. Nijmegen.
   Google Scholar
• Douglas, K. S., Hart, S. D., Webster, C. D., & Belfrage, H. (2013). HCR-20^V3: Assessing risk of violence – User guide. Mental Health, Law, and Policy Institute, Simon Fraser University.
   Google Scholar
• Durnescu, I. (2012). What matters most in probation supervision: Staff characteristics, staff skills or programme? Criminology & Criminal Justice, 12(2), 193–216. https://doi.org/10.1177/1748895811428174
   Web of Science ®Google Scholar
• Elovainio, M., Hakulinen, C., Pulkki-Råback, L., Juonala, M., & Raitakari, O. T. (2020). A network approach to the analysis of psychosocial risk factors and their association with health. Journal of Health Psychology, 25(10-11), 1587–1600. https://doi.org/10.1177/1359105318765624
   PubMed Web of Science ®Google Scholar
• Epskamp, S., Borsboom, D., & Fried, E. I. (2018a). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1
   PubMed Web of Science ®Google Scholar
• Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018b). The Gaussian Graphical Model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453–480. https://doi.org/10.1080/00273171.2018.1454823
   PubMed Web of Science ®Google Scholar
• Farrington, D. (2006). Childhood risk-factors and risk-focused prevention. In M. Maguire, R. Morgan, & R. Reiner (Eds.), The Oxford handbook of criminology, fourth edition. Oxford University Press.
   Google Scholar
• Galloway, T. A., & Skardhamar, T. (2010). Does parental income matter for onset of offending? European Journal of Criminology, 7(6), 424–441. https://doi.org/10.1177/1477370810376569
   Web of Science ®Google Scholar
• Goldstein, N., Olubadewo, O., Redding, R. E., & Lexcen, F. (2005). Mental health disorders: The neglected risk factor in juvenile delinquency. Juvenile Delinquency: Prevention, Assessment, and Intervention, 85–110. https://doi.org/10.1093/med:psych/9780195160079.003.0005
   Google Scholar
• Grosholz, J. M., & Semenza, D. C. (2018). Assessing the relationship between physical health and inmate misconduct. Criminal Justice and Behavior, 45(10), 1527–1546. https://doi.org/10.1177/0093854818775467
   Web of Science ®Google Scholar
• Harper, A., Ginapp, C., Bardelli, T., Grimshaw, A., Justen, M., Mohamedali, A., Thomas, I., & Puglisi, L. (2021). Debt, incarceration, and re-entry: A scoping review. American Journal of Criminal Justice, 46(1), 250–278. https://doi.org/10.1007/s12103-020-09559-9
   Google Scholar
• Hoeve, M., Jak, S., Stams, G. J. J. M., & Meeus, W. H. J. (2016). Financial problems and delinquency in adolescents and young adults: A 6-year three-wave study. Crime & Delinquency, 62(11), 1488–1509. https://doi.org/10.1177/0011128714541190
   Web of Science ®Google Scholar
• Hoeve, M., Jurrius, K., van der Zouwen, M., Vergeer, M., Voogt, M., & Stams, G. J. J. M. (2011). In de schuld, in de fout? Schuldenproblematiek en crimineel gedrag bij adolescenten en jongvolwassenen [In debt, in fault? Debt problems and criminal behavior in adolescents and young adults]. Kohnstamm Institute.
   Google Scholar
• Hoeve, M., Stams, G. J. J. M., van der Zouwen, M., Vergeer, M., Jurrius, K., & Asscher, J. J. (2014). A systematic review of financial debt in adolescents and young adults: Prevalence, correlates and associations with crime. PLoS One, 9(8), e104909. https://doi.org/10.1371/journal.pone.0104909.
   PubMed Web of Science ®Google Scholar
• Hsieh, C. C., & Pugh, M. D. (1993). Poverty, income inequality, and violent crime: A meta-analysis of recent aggregate data studies. Criminal Justice Review, 18(2), 182–202. https://doi.org/10.1177/073401689301800203
   Google Scholar
• Iratzoqui, A., & Metcalfe, C. (2017). Set up for failure? Examining the influence of monetary sanctions on probation success. Criminal Justice Policy Review, 28(4), 370–393. https://doi.org/10.1177/0887403415586595
   Google Scholar
• Jungmann, N., Menger, A., Anderson, M. A. R. C., & Stam, D. (2014). Gevangen in schuld [Caught in debt]. Utrecht University of Applied Sciences.
   Google Scholar
• Kort-Butler, L. (2017). Health-related strains and subsequent delinquency and marijuana use. Youth & Society, 49(8), 1077–1103. https://doi.org/10.1177/0044118X15578436
   Web of Science ®Google Scholar
• Leventhal, T., & Brooks-Gunn, J. (2011). Changes in neighborhood poverty from 1990 to 2000 and youth’s problem behaviors. Developmental Psychology, 47(6), 1680–1698. https://doi.org/10.1037/a0025314
   PubMed Web of Science ®Google Scholar
• Link, N. W. (2019). Criminal justice debt during the prisoner reintegration process: Who has it and how much? Criminal Justice and Behavior, 46(1), 154–172. https://doi.org/10.1177/0093854818790291
   Web of Science ®Google Scholar
• Link, N. W., Ward, J. T., & Stansfield, R. (2019). Consequences of mental and physical health for reentry and recidivism: Toward a health-based model of desistance. Criminology, 57(3), 544–573. https://doi.org/10.1111/1745-9125.12213
   Web of Science ®Google Scholar
• Logan, C. (2014). The HCR-20 version 3: A case study in risk formulation. International Journal of Forensic Mental Health, 13(2), 172–180. https://doi.org/10.1080/14999013.2014.906516
   Web of Science ®Google Scholar
• Mann, R., Hanson, R. K., & Thornton, D. (2010). Assessing risk for sexual recidivism: Some proposals on the nature of psychologically meaningful risk factors. Sexual Abuse, 22(2), 191–217. https://doi.org/10.1177/1079063210366039
   PubMed Web of Science ®Google Scholar
• Martin, K. D., Sykes, B. L., Shannon, S., Edwards, F., & Harris, A. (2018). Monetary sanctions: Legal financial obligations in US systems of justice. Annual Review of Criminology, 1(1), 471–495. https://doi.org/10.1146/annurev-criminol-032317-091915
   PubMedGoogle Scholar
• Moffitt, T. E., Caspi, A., Harrington, H., & Milne, B. J. (2002). Males on the life-course-persistent and adolescence-limited antisocial pathways: Follow-up at age 26 years. Development and Psychopathology, 14(1), 179–207. https://doi.org/10.1017/S0954579402001104
   PubMed Web of Science ®Google Scholar
• OASys Home Office. (2002). Offender Assessment System OASys: User manual. Home Office.
   Google Scholar
• Phillips, J., & Land, K. C. (2012). The link between unemployment and crime rate fluctuations: An analysis at the county, state, and national levels. Social Science Research, 41(3), 681–694. https://doi.org/10.1016/j.ssresearch.2012.01.001
   PubMed Web of Science ®Google Scholar
• Pietrek, C., Elbert, T., Weierstall, R., Müller, O., & Rockstroh, B. (2013). Childhood adversities in relation to psychiatric disorders. Psychiatry Research, 206(1), 103–110. https://doi.org/10.1016/j.psychres.2012.11.003
   PubMed Web of Science ®Google Scholar
• Piquero, A. R., Daigle, L. E., Gibson, C., Leeper Piquero, N., & Tibbets, S. G. (2007). Are life-course-persistent offenders at risk for adverse health outcomes? Journal of Research in Crime and Delinquency, 44(2), 185–207. https://doi.org/10.1177/0022427806297739
   Web of Science ®Google Scholar
• Piquero, A. R., & Jennings, W. G. (2017). Research note: Justice system-imposed financial penalties increase the likelihood of recidivism in a sample of adolescent offenders. Youth Violence and Juvenile Justice, 15(3), 325–340. https://doi.org/10.1177/1541204016669213
   Web of Science ®Google Scholar
• Pleggenkuhle, B. (2018). The financial cost of a criminal conviction: Context and consequences. Criminal Justice and Behavior, 45(1), 121–145. https://doi.org/10.1177/0093854817734278
   Web of Science ®Google Scholar
• Shader, M. (2001). Risk factors for delinquency: An overview. U.S. Department of Justice.
   Google Scholar
• Siennick, S. E. (2009). Three essays on criminals’ indebtedness. Pennsylvania State University.
   Google Scholar
• van Beek, G., de Vogel, V., & van de Mheen, D. (2020a). The relationship between debt and crime: A systematic and scoping review. European Journal of Probation, 13(1), 41–71. https://doi.org/10.1177/2066220320964896
   Web of Science ®Google Scholar
• van Beek, G., de Vogel, V., & van de Mheen, D. (2020b). How serious is debt among probation clients? A study into the prevalence and scope of debt in a Dutch probation sample. International Journal of Offender Therapy and Comparative Criminology, 66(2-3), 186–208. https://doi.org/10.1177/0306624X20981036.
   PubMed Web of Science ®Google Scholar
• van Dam, C. (2005). Juvenile criminal recidivism: Relations with personality and post release environmental risk and protective factors. Radboud University Nijmegen.
   Google Scholar
• van der Knaap, L. M., & Alberda, D. L. (2009). De predictieve validiteit van de Recidive Inschattingsschalen (RISc) [The predictive validity of the Recidivism Assessment Scales (RISc)]. WODC.
   Google Scholar
• Wallace, D., & Wang, X. (2020). Does in-prison physical and mental health impact recidivism? SSM – Population Health, 11, 100569. https://doi.org/10.1016/j.ssmph.2020.100569
   PubMed Web of Science ®Google Scholar
• Whiting, D., & Fazel, S. (2020). Epidemiology and risk factors for violence in people with mental disorders. In B. Carpiniello, A. Vita, & C. Mencacci (Eds.), Violence and mental disorders (pp. 49–62). Springer. https://doi.org/10.1007/978-3-030-33188-7_3.
   Google Scholar
• Zara, G., & Farrington, D. P. (2010). A longitudinal analysis of early risk factors for adult-onset offending: What predicts a delayed criminal career? Criminal Behaviour and Mental Health, 20(4), 257–273. https://doi.org/10.1002/cbm.763
   PubMed Web of Science ®Google Scholar