Craving for Gambling Predicts Income-Generating Offenses: A Pathways Model of a Japanese Prison Population
The links between gambling and criminal offenses have been frequently reported, but the pathways from gambling to a particular offense have not. Our study applied a pathways model to predict participants’ income-generating, drug-related, and violent offenses stemming from their craving for gambling. The participants were 332 male inmates in a Japanese local prison. They answered questionnaires on gambling behavior, alcohol addiction, Internet addiction, impulsivity, and psychopathy. Their official records with information on their current offense, sentence length, number of imprisonments, and length of education were also analyzed. The results show that 38.55% (n = 128) of the participants had a probable gambling disorder, a rate of problem gambling at least four times higher than that among the general Japanese population. Furthermore, their craving for gambling predicted their income-generating offenses, but not their drug-related and violent offenses. Their craving for gambling can thus be linked to their financial issues, rather than their emotional and impulsive issues. The pathways model explained the path not only from addiction/psychopathy to gambling, but also from gambling to committing an income-generating offense.
KeywordsPathways model Japanese male prison inmates Income-generating offense Craving for gambling
We would like to express our appreciation to Dr. Tai Kurosawa for his insightful feedbacks on our early draft.
The present study was funded by Japan Society for the Promotion of Science (19K11206).
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no conflict of interest.
Our study was approved by the board of a local prison and an ethics committee of a national university in Japan. Furthermore, all procedures were conducted in accordance with guidelines for studies involving human participants in the revised 1964 Helsinki declaration and its later amendments or comparable ethical standards.
- Arthur, D., Tong, W. L., Chen, C. P., Hing, A. Y., Sagara-Rosemeyer, M., Kua, E. H., et al. (2008). The validity and reliability of four measures of gambling behaviour in a sample of Singapore university students. Journal of Gambling Studies, 24(4), 451–462. https://doi.org/10.1007/s10899-008-9103-y.CrossRefPubMedGoogle Scholar
- Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine, 158(16), 1789–1795. https://doi.org/10.1001/archinte.158.16.1789.CrossRefPubMedGoogle Scholar
- Diamantopoulos, A., & Siguaw, J. A. (2013). Introducing LISREL: A guide for the uninitiated. Thousand Oaks: SAGE.Google Scholar
- Durose, M. R., Cooper, A. D., & Snyder, H. N. (2014). Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Washington, DC: Bureau of Justice Statistics.Google Scholar
- Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6, 53–60.Google Scholar
- Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago: Scientific Software International.Google Scholar
- Lai, C.-M., Mak, K.-K., Cheng, C., Watanabe, H., Nomachi, S., Bahar, N., et al. (2015). Measurement invariance of the internet addiction test among Hong Kong, Japanese, and Malaysian adolescents. Cyberpsychology, Behavior, and Social Networking, 18(10), 609–617. https://doi.org/10.1089/cyber.2015.0069.CrossRefGoogle Scholar
- Laursen, B., Plauborg, R., Ekholm, O., Larsen, C. V. L., & Juel, K. (2016). Problem gambling associated with violent and criminal behaviour: A Danish population-based survey and register study. Journal of Gambling Studies, 32(1), 25–34. https://doi.org/10.1007/s10899-015-9536-z.CrossRefPubMedGoogle Scholar
- Lobo, D. S. S., Quilty, L. C., Martins, S. S., Tavares, H., Vallada, H., Kennedy, J. L., et al. (2014). Pathological gambling subtypes: A comparison of treatment-seeking and non-treatment-seeking samples from Brazil and Canada. Addictive Behaviors, 39(7), 1172–1175. https://doi.org/10.1016/j.addbeh.2014.03.006.CrossRefPubMedGoogle Scholar
- Ohnishi, M., Ohkawa, C., Harashima, M., Saito, S., Deguchi, Y., & Ibe, F. (1996). Capas nouryoku kensa 1·2 no saikentou (review for performance test with capas). Chuo Kenkyusyo Kiyou (Chuo Acad. Res. Inst./Jpn. Correct. Assoc. Chuo Res. Cent.), 6, 123–132.Google Scholar
- Osumi, T., Nakao, T., Kasuya, Y., Shinoda, J., Yamada, J., & Ohira, H. (2012). Amygdala dysfunction attenuates frustration-induced aggression in psychopathic individuals in a non-criminal population. Journal of Affective Disorders, 142(1), 331–338. https://doi.org/10.1016/j.jad.2012.05.012.CrossRefPubMedGoogle Scholar
- Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). Factor structure of the barratt impulsiveness scale. Journal of Clinical Psychology, 51(6), 768–774. https://doi.org/10.1002/1097-4679(199511)51:6%3c768:AID-JCLP2270510607%3e3.0.CO;2-1.CrossRefPubMedPubMedCentralGoogle Scholar
- Reimers, S., Maylor, E. A., Stewart, N., & Chater, N. (2009). Associations between a one-shot delay discounting measure and age, income, education and real-world impulsive behavior. Personality and Individual Differences, 47(8), 973–978. https://doi.org/10.1016/j.paid.2009.07.026.CrossRefGoogle Scholar
- Saito, S. (1996). Compulsive/pathological gambling and its treatment; A introduction of a gambling screen (SOGS–Modified Japanese Version). Alcohol Dependence and Addiction, 13(2), 102–109.Google Scholar
- Shimizu, H. (2016). An introduction to the statistical free software HAD: Suggestions to improve teaching, learning and practice data analysis. Journal of Media, Information and Communication, 1, 59–73.Google Scholar
- Someya, T., Sakado, K., Seki, T., Kojima, M., Reist, C., Tang, S. W., et al. (2001). The Japanese version of the Barratt Impulsiveness Scale, 11th version (BIS-11): Its reliability and validity. Psychiatry and Clinical Neurosciences, 55(2), 111–114. https://doi.org/10.1046/j.1440-1819.2001.00796.x.CrossRefPubMedGoogle Scholar
- Stewart, S. H., Zack, M., Collins, P., & Klein, R. M. (2008). Subtyping pathological gamblers on the basis of affective motivations for gambling: Relations to gambling problems, drinking problems, and affective motivations for drinking. Psychology of Addictive Behaviors, 22(2), 257–268. https://doi.org/10.1037/0893-164X.22.2.257.CrossRefPubMedGoogle Scholar
- Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn and Bacon/Pearson Education.Google Scholar
- Turner, N. E., Preston, D. L., McAvoy, S., & Gillam, L. (2013). Problem gambling inside and out: The assessment of community and institutional problem gambling in the Canadian correctional system. Journal of Gambling Studies, 29(3), 435–451. https://doi.org/10.1007/s10899-012-9321-1.CrossRefPubMedGoogle Scholar
- West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. Handbook of structural equation modeling (pp. 209–231). New York, NY: The Guilford Press.Google Scholar
- Yasuki, M., Fujiyabu, K., Kudo, H., Ibe, F., Yamaguchi, Y., & Asano, C. (2003). Capas nouryoku kensa 1·2 no saikentou (review for performance test with capas). Chuo Kenkyusyo Kiyou (Chuo Acad. Res. Inst./Jpn. Correct. Assoc. Chuo Res. Cent.), 13, 101–111.Google Scholar
- Yokomitsu, K., & Kamimura, E. (2019). Factor structure and validation of the Japanese version of the Gambling Symptom Assessment Scale (GSAS-J). Journal of Gambling Issues, 41(0). http://jgi.camh.net/index.php/jgi/article/view/4037. Accessed 15 March 2019
- Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction–and a winning strategy for recovery. London: Wiley.Google Scholar