Behaviour change strategies for problem gambling: an analysis of online posts

References

• Abbott, M., Bellringer, M., Garrett, N., & Mundy-McPherson, S. (2014). New Zealand 2012 National gambling study: Overview and gambling participation. Report number 1. Auckland University of Technology, Auckland.
   Google Scholar
• Abraham, C., & Michie, S. (2008). A taxonomy of behavior change techniques used in interventions. Health Psychology, 27(3), 379.10.1037/0278-6133.27.3.379
   PubMed Web of Science ®Google Scholar
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.10.1191/1478088706qp063oa
   Google Scholar
• Gainsbury, S., Hing, N., & Suhonen, N. (2014). Professional help-seeking for gambling problems: Awareness, barriers and motivators for treatment. Journal of Gambling Studies, 30(2), 503–519. doi:10.1007/s10899-013-9373-x
   PubMed Web of Science ®Google Scholar
• Hartmann-Boyce, J., Aveyard, P., Koshiaris, C., & Jebb, S. A. (2016). Development of tools to study personal weight control strategies: OxFAB taxonomy. Obesity, 24(2), 314–320.10.1002/oby.21341
   PubMed Web of Science ®Google Scholar
• Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational versus volitional states of mind. Motivation and Emotion, 11(2), 101–120.10.1007/BF00992338
   Web of Science ®Google Scholar
• Hing, N., Nuske, E., & Gainsbury, S. (2011). Gamblers at-risk and their help-seeking behaviour. Lismore, Australia: Gambling Research Australia.
   Google Scholar
• Hing, N., Cherney, L., Gainsbury, S. M., Lubman, D. I., Wood, R. T., & Blaszczynski, A. (2014). Maintaining and losing control during internet gambling: A qualitative study of gamblers’ experiences. New Media & Society, 17(7), 1075–1095. doi:10.1177/1461444814521140
   Web of Science ®Google Scholar
• Hodgins, D. C., & El-Guebaly, N. (2000). Natural and treatment-assisted recovery from gambling problems: A comparison of resolved and active gamblers. Addiction, 95(5), 777–789.10.1046/j.1360-0443.2000.95577713.x
   PubMed Web of Science ®Google Scholar
• Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education Quarterly, 11(1), 1–47.10.1177/109019818401100101
   PubMedGoogle Scholar
• Jovic, C., Oakes, J., Rodda, S. N., Lubman, D. I., & Rapose, O. (2017). The evolution and opportunity of the online space for engaging help seekers – Social media communicators and clinicians working together. Paper presented at the 27th Annual Conference for the National Association of Gambling Studies, Melbourne
   Google Scholar
• Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2016). Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC public health, 16(80), 1–23. doi:10.1186/s12889-016-2747-0
   PubMed Web of Science ®Google Scholar
• Lostutter, T. W., Lewis, M. A., Cronce, J. M., Neighbors, C., & Larimer, M. E. (2014). The use of protective behaviors in relation to gambling among college students. Journal of Gambling Studies, 30(1), 1–20. doi:10.1007/s10899-012-9343-8
   PubMed Web of Science ®Google Scholar
• McDonnell-Phillips (2006). Analysis of gambler pre-commitment behaviour. Melbourne: Commisioned by Gambling Research Australia.
   Google Scholar
• Moore, S. M., Thomas, A. C., Kyrios, M., & Bates, G. (2012). The self-regulation of gambling. Journal of Gambling Studies, 28(3), 405–420. doi:10.1007/s10899-011-9265-x
   PubMed Web of Science ®Google Scholar
• Moore, D., Ayers, S., & Drey, N. (2016). A thematic analysis of stigma and disclosure for perinatal depression on an online forum. JMIR Mental Health, 3(2), e18. doi:10.2196/mental.5611
   PubMed Web of Science ®Google Scholar
• Newell, R., & Burnard, P. (2011). Research for evidence-based practice in healthcare (2nd ed.). Chichester, West Sussex, UK: Wiley-Blackwell.
   Google Scholar
• Poole, R., Smith, D., & Simpson, S. (2015). How patients contribute to an online psychoeducation forum for bipolar disorder: A virtual participant observation study. JMIR Mental Health, 2(3), e21. doi:10.2196/mental.4123
   PubMed Web of Science ®Google Scholar
• Prochaska, J., & DiClemente, C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51(3), 390–395. doi:10.1037/0022-006X.51.3.390
   PubMed Web of Science ®Google Scholar
• Productivity Commission. (2010). Productivity commission inquiry report: Gambling. Canberra: Australian Government.
   Google Scholar
• Rodda, S. N., & Lubman, D. I. (2014). Characteristics of gamblers using a national online counselling service for problem gambling. Journal of Gambling Studies, 30(2), 277–289. doi:10.1007/s10899-012-9352-7
   PubMed Web of Science ®Google Scholar
• Rodda, S. N., Hing, N., Hodgins, D. C., Cheetham, A., Dickins, M., & Lubman, D. I. (2017). Change strategies and associated implementation challenges: An analysis of online counselling sessions. Journal of Gambling Studies, 33, 955–973. doi:10.1007/s10899-016-9661-3
   PubMed Web of Science ®Google Scholar
• Rodda, S. N., Merkouris, S., Abraham, C., Hodgins, D. C., Cowlishaw, S., & Dowling, N. (2016). What characterises therapist-delivered and self-help interventions for problem gambling. Paper presented at the National Association of Gambling Studies, Cairns, Australia.
   Google Scholar
• Rodda, S., Dowling N., Knaebe B., & Lubman D. I. (2017). Does SMS improve gambling symptoms over and above e-mental health? A feasibility study. International Gambling Studies, ahead of print.
   Web of Science ®Google Scholar
• Schottler Consulting. (2010). Factors that influence gambler pre-commitment decisions. Melbourne: Gambling Research Australia.
   Google Scholar
• Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57(1), 1–29.
   Web of Science ®Google Scholar
• Schwarzer, R., & Luszczynska, A. (2008). How to overcome health-compromising behaviors: The health action process approach. European Psychologist, 13(2), 141–151.10.1027/1016-9040.13.2.141
   Web of Science ®Google Scholar
• Sniehotta, F. F., Scholz, U., & Schwarzer, R. (2005). Bridging the intention–behaviour gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise. Psychology & Health, 20(2), 143–160.10.1080/08870440512331317670
   Web of Science ®Google Scholar
• Sniehotta, F. F., Schwarzer, R., Scholz, U., & Schüz, B. (2005). Action planning and coping planning for long-term lifestyle change: Theory and assessment. European Journal of Social Psychology, 35(4), 565–576.10.1002/(ISSN)1099-0992
   Web of Science ®Google Scholar
• Suurvali, H., Hodgins, D. C., Toneatto, T., & Cunningham, J. A. (2008). Treatment seeking among Ontario problem gamblers: Results of a population survey. Psychiatric Services, 59(11), 1343–1346.10.1176/ps.2008.59.11.1343
   PubMedGoogle Scholar
• Suurvali, H., Cordingley, J., Hodgins, D., & Cunningham, J. (2009). Barriers to seeking help for gambling problems: A review of the empirical literature. Journal of Gambling Studies, 25(3), 407–424. doi:10.1007/s10899-009-9129-9
   PubMed Web of Science ®Google Scholar
• Thomas, A., Moore, S., Kyrios, M., Bates, G., Meredyth, D., & Jessop, G. (2010). Problem gambling vulnerability: The interaction between access, individual cognitions and group beliefs/preferences. Melbourne: Office of Gaming and Racing, Department of Justice, Victorian Government. Retrieved from https://www.responsiblegambling.vic.gov.au/__data/assets/pdf_file/0015/4038/Round-1-problem-gambling-vulnerability.PDF.
   Google Scholar
• Toneatto, T., Cunningham, J. A., & Hodgins, D. C. (2008). Recovery from problem gambling without formal treatment. Addiction Research & Theory, 16(2), 111–120.10.1080/16066350801923638
   Web of Science ®Google Scholar
• Wood, R. T. A., & Wood, S. A. (2009). An evaluation of two United Kingdom online support forums designed to help people with gambling issues. Journal of Gambling Issues, 23, 5–30. 10.4309/jgi.2009.23.1
   Google Scholar