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International Journal of Mental Health and Addiction

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01-10-2021 | Original Article

Predictors of Strategy Engagement for the Prevention and Reduction of Gambling Harm: a Prospective Application of the Theory of Planned Behaviour

Authors: Kathleen L. Bagot, Alison Cheetham, Dan I. Lubman, Simone N. Rodda

Published in: International Journal of Mental Health and Addiction | Issue 5/2021

Abstract

Strategies such as behavioural substitution, self-monitoring, social support as well as planning and urge management can assist gamblers to limit or reduce their gambling behaviours. Not all gamblers implement strategies before, during or after gambling, even though the use of strategies is recommended by the gambling and treatment industry. Australian gamblers completed an online survey with follow-up (n = 411) to determine the predictors of intention to use strategies and the actual use of strategies. Results indicated 92% of gamblers attempted at least one strategy to stick to their limits over the 30-day period (median = 30 strategies, IQR = 11 to 56). Gamblers indicated a positive attitude towards strategy engagement and perceived themselves as having control over their use but the role that important others (e.g., family members) could play in strategy implementation warrants further examination. To improve strategy engagement, prevention and intervention programmes should target factors associated with intentions rather than focusing on behaviour.

Abbott, M., Bellringer, M., Garrett, N., & Mundy-McPherson, S. (2014). New Zealand 2012 national gambling study: Gambling harm and problem gambling. New Zealand: Auckland University of Technology.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499.

Armstrong, A., & Carroll, M. (2017). Gambling activity in Australia. Melbourne. Melbourne: Australian Institute of Family Studies.

Blaszczynski, A., Collins, P., Fong, D., Ladouceur, R., Nower, L., Shaffer, H. J., Tavares, H., & Venisse, J.-L. (2011). Responsible gambling: General principles and minimal requirements. Journal of Gambling Studies, 27(4), 565–573.

Browne, M., Langham, E., Rawat, V., Greer, N., Li, E., Rose, J., et al. (2016). Assessing gambling-related harm in Victoria: A public health perspective. Melbourne: Victorian Responsible Gambling Foundation.

Conner, M., McEachan, R., Taylor, N., O'hara, J., & Lawton, R. (2015). Role of affective attitudes and anticipated affective reactions in predicting health behaviors. Health Psychology, 34(6), 642–652.PubMed

Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10(2), 148–167.PubMed

Cowlishaw, S., Merkouris, S., Dowling, N., Anderson, C., Jackson, A., & Thomas, S. (2012). Psychological therapies for pathological and problem gambling. Cochrane Database of Systematic Reviews, 11, CD008937. https://doi.org/10.1002/14651858.CD008937.pub2.CrossRef

Cowlishaw, S., Merkouris, S., Dowling, N., Rodda, S. N., Suomi, A., & Thomas, S. (2018). Locating gambling problems across a continuum of severity: Rasch analysis of the Quinte Longitudinal Study (QLS). Addictive Behaviors, 92, 32-37. doi:org/https://doi.org/10.1016/j.addbeh.2018.12.016.

Dahl, E., Tagler, M. J., & Hohman, Z. P. (2018). Gambling and the reasoned action model: Predicting past behavior, intentions, and future behavior. Journal of Gambling Studies, 34(1), 101–118.PubMed

Evans, L., & Delfabbro, P. H. (2005). Motivators for change and barriers to help-seeking in Australian problem gamblers. Journal of Gambling Studies, 21(2), 133–155.PubMed

Ferris, J. A., & Wynne, H. J. (2001). The Canadian problem gambling index: User manual. Toronto, ON: Canadian Centre on Substance Abuse.

Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. New York: Psychology Press.

Flack, M., & Morris, M. (2017). The temporal relationship between gambling related beliefs and gambling behaviour: A prospective study using the theory of planned behaviour. International Gambling Studies, 17(3), 508–519.

Forsström, D., Jansson-Fröjmark, M., Hesser, H., & Carlbring, P. J. I. (2017). Experiences of Playscan: Interviews with users of a responsible gambling tool. Internet Interventions 8, 53–62.

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. https://doi.org/10.1007/s10899-013-9373-x.CrossRefPubMed

Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87–98.PubMed

Hing, N., Nuske, E., & Gainsbury, S. (2011). Gamblers at-risk and their help-seeking behaviour. Melbourne: Gambling Research Australlia.

Hing, N., Tiyce, M., Holdsworth, L., & Nuske, E. (2013). All in the family: Help-seeking by significant others of problem gamblers. International Journal of Mental Health and Addiction, 11(3), 1–13.

Hing, N., Sproston, K., Tran, K., & Russell, A. M. (2017). Gambling responsibly: Who does it and to what end? Journal of Gambling Studies, 33(1), 149–165.PubMed

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.PubMed

Kalischuk, R. G., Nowatzki, N., Cardwell, K., Klein, K., & Solowoniuk, J. (2006). Problem gambling and its impact on families: A literature review. International Gambling Studies, 6(1), 31–60.

Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S.-L., Walters, E. E., & Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976.PubMed

Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., et al. (2003). Screening for serious mental illness in the general population. Archives of General Psychiatry, 60(2), 184–189.PubMed

Kim, H. S., Wohl, M. J., Salmon, M., & Santesso, D. (2017). When do gamblers help themselves? Self-discontinuity increases self-directed change over time. Addictive Behaviors, 64, 148–153.PubMed

Kourgiantakis, T., & Ashcroft, R. (2018). Family-focused practices in addictions: A scoping review protocol. BMJ Open, 8(1), e019433.PubMedPubMedCentral

Kourgiantakis, T., Saint-Jacques, M.-C., & Tremblay, J. (2018). Facilitators and barriers to family involvement in problem gambling treatment. International Journal of Mental Health and Addiction, 16(2), 291–312.

Ladouceur, R., Shaffer, P., Blaszczynski, A., & Shaffer, H. J. (2017). Responsible gambling: A synthesis of the empirical evidence. Addiction Research & Theory, 25(3), 225–235.

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(1), 80.PubMedPubMedCentral

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. https://doi.org/10.1007/s10899-012-9343-8.CrossRef

Lubman, D. I., Rodda, S. N., Hing, N., Cheetham, A., Cartmill, T., Nuske, E., et al. (2015). Gambler self-help strategies: A comprehensive assessment of self-help strategies and actions. Melbourne: Gambling Research Australia.

Martin, R. J., Usdan, S., Nelson, S., Umstattd, M. R., LaPlante, D., Perko, M., & Shaffer, H. (2010). Using the theory of planned behavior to predict gambling behavior. Psychology of Addictive Behaviors, 24(1), 89–97.PubMed

Matheson, F. I., Hamilton-Wright, S., Kryszajtys, D. T., Wiese, J. L., Cadel, L., Ziegler, C., Hwang, S. W., & Guilcher, S. J. (2019). The use of self-management strategies for problem gambling: A scoping review. BMC Public Health, 19(1), 445.PubMedPubMedCentral

Moore, S. M., & Ohtsuka, K. (1999). The prediction of gambling behavior and problem gambling from attitudes and perceived norms. Social Behavior and Personality: An International Journal, 27(5), 455–466.

Moore, S. M., Thomas, A. C., Kyrios, M., & Bates, G. (2012). The self-regulation of gambling. Journal of Gambling Studies, 28(3), 405–420.PubMed

Nower, L., & Blaszczynski, A. (2010). Gambling motivations, money-limiting strategies, and precommitment preferences of problem versus non-problem gamblers. Journal of Gambling Studies, 26(3), 361–372.PubMed

Procter, L., Angus, D. J., Blaszczynski, A., & Gainsbury, S. M. (2019). Understanding use of consumer protection tools among internet gambling customers: Utility of the Theory of Planned Behavior and Theory of Reasoned Action. Addictive Behaviors, 99, 106050.PubMed

Riley, B. J., Harvey, P., Crisp, B. R., Battersby, M., & Lawn, S. (2018). Gambling-related harm as reported by concerned significant others: A systematic review and meta-synthesis of empirical studies. Journal of Family Studies, 1–19. https://doi.org/10.1080/1322940.2018.1513856

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(3), 955–973. https://doi.org/10.1007/s10899-016-9661-3.CrossRefPubMed

Rodda, S. N., Bagot, K. L., Cheetham, A., Hodgins, D. C., Hing, N., & Lubman, D. I. (2018a). Types of change strategies for limiting or reducing gambling behaviors and their perceived helpfulness: A factor analysis. Psychology of Addictive Behaviors, 32(6), 679–688. https://doi.org/10.1037/adb0000393.CrossRefPubMed

Rodda, S. N., Dowling, N., & Lubman, D. (2018b). Gamblers seeking online help are active help-seekers: Time to support autonomy and competence. Addictive Behaviors, 87, 272–275. https://doi.org/10.1016/j.addbeh.2018.06.001.CrossRefPubMed

Rodda, S. N., Hing, N., Hodgins, D. C., Cheetham, A., Dickins, M., & Lubman, D. I. (2018c). Behaviour change strategies for problem gambling: An analysis of online posts. International Gambling Studies, 18(3), 420–438. https://doi.org/10.1080/14459795.2018.1432670.CrossRef

Rodda, S. N., Bagot, K. L., Manning, V., & Lubman, D. I. (2019a). Only take the money you want to lose’ strategies for sticking to limits in electronic gaming machine venues. International Gambling Studies, 19(3), 489–507. https://doi.org/10.1080/14459795.2019.1617330

Rodda, S. N., Dowling, N. A., Thomas, A. C., Bagot, K., Knaebe, B., & Lubman, D. I. (2019b). “He doesn’t see it as a big problem, I need to seek help”: What do family members of gamblers want and expect from online counselling? International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-019-00143-9

Salonen, A. H., Castrén, S., Raisamo, S., Orford, J., Alho, H., & Lahti, T. (2014). Attitudes towards gambling in Finland: A cross-sectional population study. BMC Public Health, 14(1), 982.PubMedPubMedCentral

Sheeran, P. (2002). Intention—behavior relations: A conceptual and empirical review. European Review of Social Psychology, 12(1), 1–36.

Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325–343.

Shiffman, S. (2009). Ecological momentary assessment (EMA) in studies of substance use. Psychological Assessment, 21(4), 486–497.PubMedPubMedCentral

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.

Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7.PubMed

St-Pierre, R. A., Derevensky, J. L., Temcheff, C. E., & Gupta, R. (2015). Adolescent gambling and problem gambling: Examination of an extended theory of planned behaviour. International Gambling Studies, 15(3), 506–525.

Suurvali, H., Cordingley, J., Hodgins, D. C., & Cunningham, J. (2009). Barriers to seeking help for gambling problems: A review of the empirical literature. Journal of Gambling Studies, 25(3), 407–424.PubMed

Williams, R. J., Volberg, R. A., & Stevens, R. M. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. http://hdl.handle.net/10133/3068. Accessed 8 May 2012

Wu, A. M., & Tang, C. S.-K. (2012). Problem gambling of Chinese college students: Application of the theory of planned behavior. Journal of Gambling Studies, 28(2), 315–324.PubMed

Title: Predictors of Strategy Engagement for the Prevention and Reduction of Gambling Harm: a Prospective Application of the Theory of Planned Behaviour
Authors: Kathleen L. Bagot
Alison Cheetham
Dan I. Lubman
Simone N. Rodda
Publication date: 01-10-2021
Publisher: Springer US
Published in: International Journal of Mental Health and Addiction / Issue 5/2021
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-020-00265-5

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Predictors of Strategy Engagement for the Prevention and Reduction of Gambling Harm: a Prospective Application of the Theory of Planned Behaviour

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