Gambling, geographical variations and deprivation: findings from the adult psychiatric morbidity survey

References

• American Psychiatric Association (APA). (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC. doi: 10.1176/appi.books.9780890420249.dsm-iv-tr
   Google Scholar
• Astbury, G., & Turstain-Goodwin, M. (2015). Contextualising machine gambling characteristics by location - final report A spatial investigation of machines in bookmakers using industry data. Retrieved from: https://www.responsiblegamblingtrust.org.uk/media/1170/b2gamingmachines_finalreport_20150218.pdf
   Google Scholar
• Auger, N., Lo, E., Cantinotti, M., & O’Loughlin, J. (2010). Impulsivity and socio-economic status interact to increase the risk of gambling onset among youth. Addiction, 105, 2176–2183. doi:10.1111/j.1360-0443.2010.03100.x
   PubMed Web of Science ®Google Scholar
• Austin, P. C. (2010). Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures. The International Journal of Biostatistics, 6, Article 16, 1–18. doi:10.2202/1557-4679.1195
   Google Scholar
• Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42, 851–859.10.1097/01.mlr.0000135827.18610.0d
   PubMed Web of Science ®Google Scholar
• Canale, N., Vieno, A., Bowden-Jones, H., & Billieux, J. (2017). The benefits of using the UPPS model of impulsivity rather than the Big Five when assessing the relationship between personality and problem gambling. Addiction, 112, 372–373. doi:10.1111/add.13641
   PubMed Web of Science ®Google Scholar
• Carrà, G., Scioli, R., Monti, M. C., & Marinoni, A. (2006). Severity profiles of substance-abusing patients in Italian community addiction facilities: Influence of psychiatric concurrent disorders. European Addiction Research, 12, 96–101. doi:10.1159/000090429
   PubMed Web of Science ®Google Scholar
• Carrà, G., Crocamo, C., Borrelli, P., Popa, I., Ornaghi, A., Montomoli, C., & Clerici, M. (2015). Correlates of dependence and treatment for substance use among people with comorbid severe mental and substance use disorders: Findings from the “Psychiatric and Addictive Dual Disorder in Italy (PADDI)” Study. Comprehensive Psychiatry, 58, 152–159. doi:10.1016/j.comppsych.2014.11.021
   PubMed Web of Science ®Google Scholar
• Carrà, G., Crocamo, C., Bartoli, F., Carretta, D., Schivalocchi, A., Bebbington, P. E., & Clerici, M. (2016). Impact of a mobile E-health intervention on binge drinking in young people: The digital-alcohol risk alertness notifying network for adolescents and young adults project. The Journal of Adolescent Health, 58, 520–526. doi:10.1016/j.jadohealth.2016.01.008
   PubMed Web of Science ®Google Scholar
• Carrà, G., Crocamo, C., Borrelli, P., Tabacchi, T., Bartoli, F., Popa, I., … Clerici, M. (2017). Area-level deprivation and adverse consequences in people with substance use disorders: Findings from the psychiatric and addictive dual disorder in Italy (PADDI) study. Substance Use & Misuse, 52, 451–458. doi:10.1080/10826084.2016.1240696
   PubMed Web of Science ®Google Scholar
• Christakis, N. A., & Fowler, J. H. (2013). Social contagion theory: Examining dynamic social networks and human behavior. Statistics in Medicine, 32, 556–577. doi:10.1002/sim.5408
   PubMed Web of Science ®Google Scholar
• Cowlishaw, S., & Hakes, J. K. (2015). Pathological and problem gambling in substance use treatment: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). The American Journal on Addictions, 24, 467–474. doi:10.1111/ajad.12242
   PubMed Web of Science ®Google Scholar
• Cowlishaw, S., & Kessler, D. (2016). Problem gambling in the UK: Implications for health, psychosocial adjustment and health care utilization. European Addiction Research, 22, 90–98. doi:10.1159/000437260
   PubMed Web of Science ®Google Scholar
• DCLG-Department for Communities and Local Government. (2004). Communities and neighbourhoods: Indices of deprivation 2004. Retrieved from https://webarchive.nationalarchives.gov.uk/20100410180038/https://www.communities.gov.uk/archived/general-content/communities/indicesofdeprivation/216309/
   Google Scholar
• Fairer gambling. (2015). STOP the FOBTs campaign, 2015. Retrieved from https://www.stopthefobts.org/; https://fairergambling.org/
   Google Scholar
• Gainsbury, S. M., Russell, A., Hing, N., Wood, R., & Blaszczynski, A. (2013). The impact of internet gambling on gambling problems: A comparison of moderate-risk and problem Internet and non-Internet gamblers. Psychology of Addictive Behaviors, 27, 1092–1101. doi:10.1037/a0031475
   PubMed Web of Science ®Google Scholar
• Grant, J. E., & Chamberlain, S. R. (2015). Gambling disorder and its relationship with substance use disorders: Implications for nosological revisions and treatment. The American Journal on Addictions, 24, 126–131. doi:10.1111/ajad.12112
   PubMed Web of Science ®Google Scholar
• Greenland, S., Mansournia, M. A., & Altman, D. G. (2016). Sparse data bias: A problem hiding in plain sight. BMJ, 352, i1981. doi:10.1136/bmj.i1981
   PubMed Web of Science ®Google Scholar
• Griffiths, M., Wardle, H., Orford, J., Sproston, K., & Erens, B. (2009). Sociodemographic correlates of internet gambling: Findings from the 2007 British gambling prevalence survey. CyberPsychology & Behavior, 12, 199–202. doi:10.1089/cpb.2008.0196
   PubMedGoogle Scholar
• Gruenewald, P. J. (2007). The spatial ecology of alcohol problems: Niche theory and assortative drinking. Addiction, 102, 870–878. doi:10.1111/j.1360-0443.2007.01856.x
   PubMed Web of Science ®Google Scholar
• Haushofer, J., & Fehr, E. (2014). On the psychology of poverty. Science, 344, 862–867. doi:10.1126/science.1232491
   PubMed Web of Science ®Google Scholar
• Hilbe, J. M. (2009). Logistic regression models (p.259). Boca Raton, FL: Chapman & Hall/CRC: Series Texts in Statistical Science.
   Google Scholar
• Jiménez-Murcia, S., Alvarez-Moya, E. M., Stinchfield, R., Fernández-Aranda, F., Granero, R., Aymamí, N., … Menchón, J. M. (2010). Age of onset in pathological gambling: Clinical, therapeutic and personality correlates. Journal of Gambling Studies, 26, 235–248. doi:10.1007/s10899-009-9175-3
   PubMed Web of Science ®Google Scholar
• Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25, 67–92. doi:10.1007/s10899-008-9088-6
   PubMed Web of Science ®Google Scholar
• Lewis, G., Pelosi, A. J., Araya, R., & Dunn, G. (1992). Measuring psychiatric disorder in the community: A standardized assessment for use by lay interviewers. Psychological Medicine, 22, 465–486. doi:10.1017/S0033291700030415
   PubMed Web of Science ®Google Scholar
• Livingstone, C. (2001). The social economy of poker machine gambling in Victoria. International Gambling Studies, 1, 45–65. doi:10.1080/14459800108732287
   Google Scholar
• Malgady, R. G., Rogler, L. H., & Tryon, W. W. (1992). Issues of validity in the diagnostic interview schedule. Journal of Psychiatric Research, 26, 59–67. doi:10.1016/0022-3956(92)90016-H
   PubMed Web of Science ®Google Scholar
• Mann, R. E. (2005). Availability as a law of addiction. Addiction, 100, 924–925. doi:10.1111/j.1360-0443.2005.01146.x
   PubMed Web of Science ®Google Scholar
• Martins, S. S., Storr, C. L., Lee, G. P., & Ialongo, N. S. (2013). Environmental influences associated with gambling in young adulthood. Journal of Urban Health, 90, 130–140. doi:10.1007/s11524-012-9751-1
   PubMed Web of Science ®Google Scholar
• McManus, S., Meltzer, H., Brugha, T. S., Bebbington, P. E., & Jenkins, R. (Eds.). (2009). Adult psychiatric morbidity in England, 2007: Results of a household survey. Leeds: The NHS Information Centre for Health and Social Care.
   Google Scholar
• Miers, D. (2006). Implementing Great Britain’s gambling act 2005: The gambling commission and the casino question. Gaming Law Review, 10, 472–481. doi:10.1089/glr.2006.10.472
   Google Scholar
• Pavlou, M., Ambler, G., Seaman, S. R., Guttmann, O., Elliott, P., King, M., & Omar, R. Z. (2015). How to develop a more accurate risk prediction model when there are few events. BMJ, 351, h3868. doi:10.1136/bmj.h3868 Erratum. In: (2016) BMJ, 353, i3235.
   PubMed Web of Science ®Google Scholar
• Pearce, J., Mason, K., Hiscock, R., & Day, P. (2008). A national study of neighbourhood access to gambling opportunities and individual gambling behaviour. Journal of Epidemiology & Community Health, 62, 862–868. doi:10.1136/jech.2007.068114
   PubMed Web of Science ®Google Scholar
• Planzer, S., Gray, H. M., & Shaffer, H. J. (2014). Associations between national gambling policies and disordered gambling prevalence rates within Europe. International Journal of Law and Psychiatry, 37, 217–229. doi:10.1016/j.ijlp.2013.11.002
   PubMed Web of Science ®Google Scholar
• Ryder, A. G., Costa, P. T., & Bagby, R. M. (2007). Evaluation of the SCID-II personality disorder traits for DSM-IV: Coherence, discrimination, relations with general personality traits, and functional impairment. Journal of Personality Disorders, 21, 626–637. doi:10.1521/pedi.2007.21.6.626
   PubMed Web of Science ®Google Scholar
• Saunders, J. B., Aasland, O. G., Babor, T. F., Dela Fuente, J. R., & Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption, part II. Addiction, 88, 791–804. doi:10.1111/j.1360-0443.1993.tb02093.x
   PubMed Web of Science ®Google Scholar
• Shaffer, H. J., & Korn, D. A. (2002). Gambling and related mental disorders: A public health analysis. Annual Review of Public Health, 23, 171–212. doi:10.1146/annurev.publhealth.23.100901.140532
   PubMed Web of Science ®Google Scholar
• Slutske, W. S., Deutsch, A. R., Statham, D. J., & Martin, N. G. (2015). Local area disadvantage and gambling involvement and disorder: Evidence for gene-environment correlation and interaction. Journal of Abnormal Psychology, 124, 606–622. doi:10.1037/abn0000071
   PubMed Web of Science ®Google Scholar
• Stockwell, T., Sitharan, T., McGrath, D., & Lang, E. (1994). The measurement of alcohol dependence and impaired control in community samples. Addiction, 89, 167–174. doi:10.1111/j.1360-0443.1994.tb00875.x
   PubMed Web of Science ®Google Scholar
• Vittinghoff, E., & McCulloch, C. E. (2007). Relaxing the rule of ten events per variable in logistic and cox regression. American Journal of Epidemiology, 165, 710–718. doi:10.1093/aje/kwk052
   PubMed Web of Science ®Google Scholar
• Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., … National centre for social research, gambling commission. (2011). British Gambling Prevalence Survey 2010. London: National Centre for Social Research. The Stationery Office. Retrieved from https://www.rgtinfohub.org.uk/wp-content/uploads/2015/10/british-gambling-prevalence-survey-2010.pdf
   Google Scholar
• Wardle, H., Keily, R., Astbury, G., & Reith, G. (2014a). ‘Risky places?’: Mapping gambling machine density and socio-economic deprivation. Journal of Gambling Studies, 30, 201–212. doi:10.1007/s10899-012-9349-2
   PubMed Web of Science ®Google Scholar
• Wardle, H., Seabury, C., Ahmed, H., Payne, C., Bryon, C., Corbett, J., & Sutton, R. (2014b). Gambling behaviour in England & Scotland: Findings from the health survey for England 2012 and Scottish Health Survey 2012. London: The Gambling Commission.
   Google Scholar
• Welte, J. W., Wieczorek, W. F., Barnes, G. M., Tidwell, M. C., & Hoffman, J. H. (2004). The relationship of ecological and geographic factors to gambling behavior and pathology. Journal of Gambling Studies, 20, 405–423. doi:10.1007/s10899-004-4582-y
   PubMed Web of Science ®Google Scholar
• Wheeler, B. W., Rigby, J., & Huriwai, T. (2006). Pokies and poverty: Problem gambling risk factor geography in New Zealand. Health Place, 12, 86–96. doi:10.1016/j.healthplace.2004.10.011
   PubMed Web of Science ®Google Scholar
• Whiteside, S. P., & Lynam, D. R. (2001). The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Difference, 30, 669–689. doi:10.1016/S0191-8869(00)00064-7
   Web of Science ®Google Scholar