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Gepubliceerd in:

01-12-2014

Pre-drinking and alcohol-related harm in undergraduates: the influence of explicit motives and implicit alcohol identity

Auteurs: Kim M. Caudwell, Martin S. Hagger

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 6/2014

Abstract

The present study investigated how pre-drinking could be explained using a model based on dual-systems theory, incorporating measures of explicit and implicit constructs. Undergraduate students (N = 144; 44 male; 100 female; M _age = 20.1 years), completed an online survey comprising measures of pre-drinking motives, a measure of pre-drinking cost motives, and an alcohol identity implicit association test. Variance-based structural equation modelling revealed that the predictors explained 34.8 % of the variance in typical pre-drinking alcohol consumption and 25 % of the variance in alcohol-related harm. Cost, interpersonal enhancement, and barriers to consumption motives predicted higher typical pre-drinking alcohol consumption and greater alcohol-related harm. Higher situational control scores predicted lower typical pre-drinking alcohol consumption, and lower alcohol-related harm. Positive implicit alcohol identity predicted alcohol-related harm, but not typical alcohol consumption. Results indicate that a dual-systems approach to pre-drinking has utility in predicting alcohol-related harm and may inform interventions to reduce excessive alcohol consumption and associated harm.

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Anderson, P., Chisholm, D., & Fuhr, D. C. (2009). Effectiveness and cost-effectiveness of policies and programmes to reduce the harm caused by alcohol. The Lancet, 373, 2234–2246. doi:10.1016/s0140-6736(09)60744-3.

Barry, A. E., Stellefson, M. L., Piazza-Gardner, A. K., Chaney, B. H., & Dodd, V. (2013). The impact of pregaming on subsequent blood alcohol concentrations: An event-level analysis. Addictive Behaviors, 38, 2374–2377. doi:10.1016/j.addbeh.2013.03.014.

Barton, A., & Husk, K. (2012). Controlling pre-loaders: Alcohol related violence in an English night time economy. Drugs and Alcohol Today, 12, 89–97. doi:10.1108/17459261211235119.

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, 1789. doi:10.1001/archinte.158.16.1789.

Byrnes, J. M., Cobiac, L. J., Doran, C. M., Vos, T., & Shakeshaft, A. P. (2010). Cost-effectiveness of volumetric alcohol taxation in Australia. Medical Journal of Australia, 192, 439–443. doi:10.1111/j.1465-3362.2011.00309.x.

Carey, K. B., Scott-Sheldon, L. A. J., Carey, M. P., & DeMartini, K. S. (2007). Individual-level interventions to reduce college student drinking: A meta-analytic review. Addictive Behaviors, 32, 2469–2494. doi:10.1016/j.addbeh.2007.05.004.

Churchill, S., Jessop, D., & Sparks, P. (2008). Impulsive and/or planned behaviour: Can impulsivity contribute to the predictive utility of the theory of planned behaviour? British Journal of Social Psychology, 47, 631–646. doi:10.1348/014466608X284434.

Doran, C. M., & Digiusto, E. (2011). Using taxes to curb drinking: A report card on the Australian government’s alcopops tax. Drug and Alcohol Review, 30, 677–680. doi:10.1111/j.1465-3362.2011.00309.x.

Gray, H. M., LaPlante, D. A., Bannon, B. L., Ambady, N., & Shaffer, H. J. (2011). Development and validation of the Alcohol Identity Implicit Associations Test (AI-IAT). Addictive Behaviors, 36, 919–926. doi:10.1016/j.addbeh.2011.05.003.

Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74, 1464–1480.

Hagger, M. S. (2013a). The multiple pathways by which self-control predicts behavior. Frontiers in Psychology. doi:10.3389/fpsyg.2013.00849.

Hagger, M. S. (2013b). The opportunity cost model: Automaticity, individual differences, and self-control resources. Behavioral and Brain Sciences, 36, 687–688.PubMedCrossRef

Hagger, M. S., & Chatzisarantis, N. L. D. (2014). An integrated behavior change model for physical activity. Exercise and Sport Sciences Reviews, 42, 62–69.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414–433.CrossRef

Hallett, J., Howat, P., Maycock, B., McManus, A., Kypri, Kypros., & Dhaliwal, S. (2012). Undergraduate student drinking and related harms at an Australian university: Web-based survey of a large random sample. BMC Public Health, 12, 37. doi:10.1186/1471-2458-12-37.PubMedCentralPubMedCrossRef

Hofmann, W., Friese, M., & Strack, F. (2009). Impulse and self-control from a dual-systems perspective. Perspectives on Psychological Science, 4, 162–176. doi:10.1111/j.1745-6924.2009.01116.x.

Hofmann, W., Friese, M., & Wiers, R. W. (2008). Impulsive versus reflective influences on health behavior: A theoretical framework and empirical review. Health Psychology Review, 2, 111–137. doi:10.1080/17437190802617668.

Houben, K., Havermans, R. C., Nederkoorn, C., & Jansen, A. (2012). Beer à no-go: Learning to stop responding to alcohol cues reduces alcohol intake via reduced affective associations rather than increased response inhibition. Addiction, 107, 1280–1287. doi:10.1111/j.1360-0443.2012.03827.x.PubMedCrossRef

Houben, K., Havermans, R. C., & Wiers, R. W. (2010). Learning to dislike alcohol: Conditioning negative implicit attitudes toward alcohol and its effect on drinking behavior. Psychopharmacology (Berl), 211, 79–86. doi:10.1007/s00213-010-1872-1.CrossRef

Houben, K., & Wiers, R. W. (2006). Assessing implicit alcohol associations with the implicit association test: Fact or artifact? Addictive Behaviors, 31, 1346–1362. doi:10.1016/j.addbeh.2005.10.009.

Houben, K., Nederkoorn, C., Wiers, R. W., & Jansen, A. (2011). Resisting temptation: Decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Dependence, 116(1–3), 132–136. doi:10.1016/j.drugalcdep.2010.12.011.

Houben, K., & Wiers, R. W. (2009). Response inhibition moderates the relationship between implicit associations and drinking behavior. Alcoholism Clinical and Experimental Research, 33, 626–633. doi:10.1111/j.1530-0277.2008.00877.x.

Hughes, K., Anderson, Z., Morleo, M., & Bellis, M. A. (2008). Alcohol, nightlife and violence: The relative contributions of drinking before and during nights out to negative health and criminal justice outcomes. Addiction, 103(1), 60–65. doi:10.1111/j.1360-0443.2007.02030.x.

Hummer, J. F., Napper, L. E., Ehret, P. E., & LaBrie, J. W. (2013). Event-specific risk and ecological factors associated with prepartying among heavier drinking college students. Addictive Behaviors, 38, 1620–1628. doi:10.1016/j.addbeh.2012.09.014.PubMedCentralPubMedCrossRef

Keatley, D., Clarke, D. D., & Hagger, M. S. (2012). Investigating the predictive validity of implicit and explicit measures of motivation in problem-solving behavioural tasks. British Journal of Social Psychology, 52, 510–524. doi:10.1111/j.2044-8309.2012.02107.x.PubMedCrossRef

Keatley, D., Clarke, D. D., & Hagger, M. S. (2013). The predictive validity of implicit measures of self-determined motivation across health-related behaviours. British Journal of Health Psychology, 18, 2–17. doi:10.1111/j.2044-8287.2011.02063.x.PubMedCrossRef

Kock, N. (2012). WarpPLS 3.0 User Manual (pp. 55). Retrieved from http://www.scriptwarp.com/warppls/UserManual_WarpPLS_V3.pdf.

Labhart, F., Graham, K., Wells, S., & Kuntsche, E. (2013). Drinking before going to licensed premises: An event-level analysis of predrinking, alcohol consumption, and adverse outcomes. Alcoholism Clinical and Experimental Research, 37, 284–291. doi:10.1111/j.1530-0277.2012.01872.x.CrossRef

LaBrie, J. W., Hummer, J. F., Pedersen, E. R., Lac, A., & Chithambo, T. (2012). Measuring college students’ motives behind prepartying drinking: Development and validation of the prepartying motivations inventory. Addictive Behaviors, 37, 962–969. doi:10.1016/j.addbeh.2012.04.003.PubMedCentralPubMedCrossRef

Lindgren, K. P., Neighbors, C., Teachman, B. A., Wiers, R. W., Westgate, E., & Greenwald, A. G. (2012). I drink therefore I am: Validating alcohol-related implicit association tests. doi:10.1016/j.addbeh.2013.01.026.

Lonsdale, A. J., Hardcastle, S. J., & Hagger, M. S. (2012). A minimum price per unit of alcohol: A focus group study to investigate public opinion concerning UK government proposals to introduce new price controls to curb alcohol consumption. BMC Public Health, 12, 1–16.CrossRef

MacLean, S., & Callinan, S. (2013). “Fourteen dollars for one beer!” Pre-drinking is associated with high-risk drinking among Victorian young adults. Australian and New Zealand Journal of Public Health, 37, 579–585. doi:10.1111/1753-6405.12138.

McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5, 97–144. doi:10.1080/17437199.2010.521684.CrossRef

Miller, P. G. (2013). Patron offending and intoxication in night-time entertainment districts (POINTED) monograph series 46. Canberra: National Drug Law Enforcement Research Fund.

Miller, P. G., & Droste, N. (2013). Alcohol price considerations on alcohol and illicit drug use in university students. Journal of Alcoholism and Drug Dependence, 1, 2. doi:10.4172/jaldd.1000109.

Moreira, M. T., Oskrochi, R., & Foxcroft, D. R. (2012). Personalised normative feedback for preventing alcohol misuse in university students: Solomon three-group randomised controlled trial. PLoS One, 7, e44120. doi:10.1371/journal.pone.0044120.PubMedCentralPubMedCrossRef

National Health and Medical Research Council. (2009). Australian guidelines to reduce risks from drinking alcohol. Canberra, ACT: Commonwealth of Australia Retrieved from http://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/ds10-alcohol.pdf.

Ostafin, B. D., & Palfai, T. P. (2012). When wanting to change is not enough: Automatic appetitive processes moderate the effects of a brief alcohol intervention in hazardous-drinking college students. Addiction Science and Clinical Practice, 7, 1–9. doi:10.1186/1940-0640-7-25.

Pedersen, E. R., & LaBrie, J. (2007). Partying before the party: Examining prepartying behavior among college students. Journal of American College Health, 56, 237–245. doi:10.3200/JACH.56.3.237-246.PubMedCentralPubMedCrossRef

Pedersen, E. R., LaBrie, J. W., & Kilmer, J. R. (2009). Before you slip into the night, you’ll want something to drink: Exploring the reasons for prepartying behavior among college student drinkers. Issues in Mental Health Nursing, 30, 354–363. doi:10.1080/01612840802422623.PubMedCrossRef

Perugini, M. (2005). Predictive models of implicit and explicit attitudes. The British Journal of Social Psychology, 44, 29–45. doi:10.1348/014466604X23491.

Read, J. P., Merrill, J. E., & Bytschkow, K. (2010). Before the party starts: Risk factors and reasons for “pregaming” in college students. Journal of American College Health, 58, 461–472. doi:10.1080/07448480903540523.PubMedCrossRef

Rose, P., Smith, S. T., & Segrist, D. J. (2010). Too cheap to chug: Frugality as a buffer against college-student drinking. Journal of Consumer Behaviour, 9, 228–238. doi:10.1002/cb.314.CrossRef

Sheeran, P., Gollwitzer, P. M., & Bargh, J. A. (2013). Nonconscious processes and health. Health Psychology, 32, 460.PubMedCrossRef

Skov, S. J., Chikritzhs, T. N., Kypri, K., Miller, P. G., Hall, W. D., Daube, M. M., et al. (2011). Is the “alcopops” tax working? Probably yes but there is a bigger picture. Medical Journal of Australia, 195, 84–86.PubMed

Slutske, W. S., Hunt-Carter, E. E., Nabors-Oberg, R. E., Sher, K. J., Bucholz, K. K., Madden, P. A., et al. (2004). Do college students drink more than their non-college-attending peers? Evidence from a population-based longitudinal female twin study. Journal of Abnormal Psychology, 113, 530–540.PubMedCrossRef

Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 220–247. doi:10.1207/s15327957pspr0803_1.PubMedCrossRef

Tenenhaus, M., Amato, S., & Vinzi, V. E. (2004). A global goodness-of-fit index for PLS structural equation modelling. Paper presented at the XLII SIS Scientific Meeting, 2004, Padova, Italy.

Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of partial least squares: Concepts, methods and applications. New York, USA: Springer.CrossRef

Wells, S., Graham, K., & Purcell, J. (2009). Policy implications of the widespread practice of ‘pre-drinking’ or ‘pre-gaming’ before going to public drinking establishments - Are current prevention strategies backfiring? Addiction, 104(1), 4–9. doi:10.1111/j.1360-0443.2008.02393.x.

Wiers, R. W., Bartholow, B. D., van den Wildenberg, E., Thush, C., Engels, R. C. M. E., Sher, K. J., et al. (2007). Automatic and controlled processes and the development of addictive behaviors in adolescents: A review and a model. Pharmacology Biochemistry and Behavior, 86, 263–283. doi:10.1016/j.pbb.2006.09.021-&gt.CrossRef

Titel: Pre-drinking and alcohol-related harm in undergraduates: the influence of explicit motives and implicit alcohol identity
Auteurs: Kim M. Caudwell
Martin S. Hagger
Publicatiedatum: 01-12-2014
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 6/2014
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-014-9573-6

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Pre-drinking and alcohol-related harm in undergraduates: the influence of explicit motives and implicit alcohol identity

Abstract

Andere artikelen Uitgave 6/2014

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A closer look at the developmental interplay between parenting and perceived health in adolescents with congenital heart disease

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What keeps a body moving? The brain-derived neurotrophic factor val66met polymorphism and intrinsic motivation to exercise in humans

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