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BMC Public Health
Published in: BMC Public Health 1/2016

Open Access 01-12-2015 | Study protocol

Combining motivational and volitional approaches to reducing excessive alcohol consumption in pre-drinkers: a theory-based intervention protocol

Authors: Kim M. Caudwell, Barbara A. Mullan, Martin S. Hagger

Published in: BMC Public Health | Issue 1/2016

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Abstract

Background

Pre-drinking refers to the consumption of alcohol at home or a private residence prior to attending a subsequent social event. We present the study protocol of an online theory-based intervention to reduce pre-drinking and related harm in pre-drinking undergraduates, using behavior change techniques targeting the motivational and volitional phases of behaviour.

Design

A fully randomized 2 (autonomy support: present vs. absent) x 2 (implementation intention: present vs. absent) between-participants design will be used to ascertain the effectiveness of the intervention in reducing pre-drinking alcohol consumption and alcohol-related harm. Participants will complete a range of theory-based measures prior to being allocated to one of the four experimental conditions. Four weeks later, participants will complete a follow-up questionnaire comprised of theoretical and behavioral measures.

Analyses

The main and interactive effects of the intervention components in reducing our primary dependent variables, namely, pre-drinking alcohol consumption and alcohol-related harm at four-week follow-up will be tested. Baseline alcohol consumption and demographic information will be included in the analysis as covariates.

Discussion

This online intervention is the first to be developed to reduce pre-drinking alcohol consumption, a behaviour linked to increased risk of alcohol-related harm. The intervention targets motivational and volitional components of the behaviour change process and is therefore likely to lead to greater reductions in pre-drinking alcohol consumption and experience of alcohol-related harm compared to either approach in isolation. If successful, the intervention can be implemented across various contexts and in populations where pre-drinking is prevalent.

Trial registration

ACTRN12614001102​662. Registered 16 October 2014.
Appendix
Available only for authorised users
Footnotes
1
In Australia, a standard drink is defined as an alcoholic beverage containing 10 g of ethanol (alcohol).
 
Literature
1.
National Health and Medical Research Council. Australian guidelines to reduce risks from drinking alcohol. Canberra, ACT: Commonwealth of Australia; 2009. p. 179.
2.
Collins DJ, Lapsley HM. The avoidable costs of alcohol abuse in Australia and the potential benefits of effective policies to reduce the social costs of alcohol. In: Ageing DoHa. Canberra, ACT: Commonwealth of Australia; 2008.
3.
Hallett J, Howat P, Maycock B, McManus A, Kypri K, Dhaliwal S. Undergraduate student drinking and related harms at an Australian university: web-based survey of a large random sample. BMC Public Health. 2012;12(1):37.PubMedPubMedCentralCrossRef
4.
Todd J, Mullan B. Using the theory of planned behaviour and prototype willingness model to target binge drinking in female undergraduate university students. Addict Behav. 2011;36(10):980–6.PubMedCrossRef
5.
Slutske WS. Alcohol use disorders among US college students and their non-college-attending peers. Arch Gen Psychiatry. 2005;62(3):321–7.PubMedCrossRef
6.
Slutske WS, Hunt-Carter EE, Nabors-Oberg RE, Sher KJ, Bucholz KK, Madden PAF, et al. Do college students drink more than their non-college-attending peers? Evidence from a population-based longitudinal female twin study. J Abnorm Psychol. 2004;113(4):530–40.PubMedCrossRef
7.
Wechsler H, Nelson TF. What we have learned from the Harvard School of Public Health College Alcohol Study: Focusing attention on college student alcohol consumption and the environmental conditions that promote it. J Stud Alcohol Drugs. 2008;69(4):481.PubMedCrossRef
8.
Pedersen ER, LaBrie J. Partying before the party: Examining prepartying behavior among college students. J Am Coll Heal. 2007;56(3):237–45. PubMed Language: English. Entry Date: 20080314. Revision Date: 20091218. Publication Type: journal article.CrossRef
9.
Borsari B, Boyle KE, Hustad JTP, Barnett NP, O’Leary Tevyaw T, Kahler CW. Drinking before drinking: Pregaming and drinking games in mandated students. Addict Behav. 2007;32(11):2694–705.PubMedPubMedCentralCrossRef
10.
Reed MB, Clapp JD, Weber M, Trim R, Lange J, Shillington AM. Predictors of partying prior to bar attendance and subsequent BrAC. Addict Behav. 2011;36(12):1341–3.PubMedCrossRef
11.
Read JP, Merrill JE, Bytschkow K. Before the party starts: risk factors and reasons for “pregaming” in college students. J Am Coll Heal. 2010;58(5):461–72. PubMed Language: English. Entry Date: 20100507. Revision Date: 20110520. Publication Type: journal article.CrossRef
12.
Miller PG. Patron Offending and Intoxication in Night-Time Entertainment Districts (POINTED). Canberra: National Drug Law Enforcement Research Fund; 2013.
13.
Hummer JF, Napper LE, Ehret PE, LaBrie JW. Event-specific risk and ecological factors associated with prepartying among heavier drinking college students. Addict Behav. 2013;38(3):1620–8.PubMedCrossRef
14.
Paves AP, Pedersen ER, Hummer JF, LaBrie JW. Prevalence, social contexts, and risks for prepartying among ethnically diverse college students. Addict Behav. 2012;37(7):803–10.PubMedPubMedCentralCrossRef
15.
LaBrie JW, Hummer JF, Pedersen ER, Lac A, Chithambo T. Measuring college students’ motives behind prepartying drinking: Development and validation of the prepartying motivations inventory. Addict Behav. 2012;37(8):962–9.PubMedPubMedCentralCrossRef
16.
Pedersen ER, LaBrie JW, Kilmer JR. Before you slip into the night, you’ll want something to drink: exploring the reasons for prepartying behavior among college student drinkers. Issues Ment Health Nurs. 2009;30(6):354–63. PubMed Language: English. Entry Date: 20090814. Revision Date: 20110520. Publication Type: journal article.PubMedPubMedCentralCrossRef
17.
Miller PG, Droste N. Alcohol price considerations on alcohol and illicit drug use in university students. J Alcoholism Drug Dependence. 2013;1(109):2.
18.
Caudwell KM, Hagger MS. Pre-drinking and alcohol-related harm in undergraduates: the influence of explicit motives and implicit alcohol identity. J Behav Med. 2014;37(6):1252–62.PubMedCrossRef
19.
Barry AE, Stellefson ML, Piazza-Gardner AK, Chaney BH, Dodd V. The impact of pregaming on subsequent blood alcohol concentrations: An event-level analysis. Addict Behav. 2013;38(8):2374–7.PubMedCrossRef
20.
Merrill JE, Vermont LN, Bachrach RL, Read JP. Is the pregame to blame? Event-level associations between pregaming and alcohol-related consequences. J Stud Alcohol Drugs. 2013;74(5):757–64. PubMed PMCID: PMC3749319. Epub 2013/08/21. eng.PubMedPubMedCentralCrossRef
21.
Livingston M. Perceptions of low-risk drinking levels among Australians during a period of change in the official drinking guidelines. Drug Alcohol Rev. 2012;31(2):224–30.PubMedCrossRef
22.
White AM, Kraus CL, Flom JD, Kestenbaum LA, Mitchell JR, Shah K, et al. College students lack of knowledge of standard drink volumes: Implications for definitions of risky drinking based on survey data. Alcohol Clin Exp Res. 2005;29(4):631–8.PubMedCrossRef
23.
De Visser RO, Birch JD. My cup runneth over: Young people’s lack of knowledge of low-risk drinking guidelines. Drug Alcohol Rev. 2012;31(2):206–12.PubMedCrossRef
24.
Michie S. What works and how? Designing more effective interventions needs answers to both questions. Addiction. 2008;103(6):886–7. PubMed Language: English. Entry Date: 20080822. Revision Date: 20110701. Publication Type: journal article.CrossRef
25.
Kypri K, Saunders JB, Williams SM, McGee RO, Langley JD, Cashell-Smith ML, et al. Web-based screening and brief intervention for hazardous drinking: a double-blind randomized controlled trial. Addiction. 2004;99(11):1410–7.PubMedCrossRef
26.
27.
Schaus JF, Sole ML, McCoy TP, Mullett N, O’Brien MC. Alcohol screening and brief intervention in a college student health center: a randomized controlled trial. J Stud Alcohol Drugs. 2009;16:131.CrossRef
28.
Kypri K, Hallett J, Howat P, McManus A, Maycock B, Bowe S, et al. Randomized controlled trial of proactive web-based alcohol screening and brief intervention for university students. Arch Intern Med. 2009;169(16):1508–14.PubMedCrossRef
29.
Walters ST, Vader AM, Harris TR. A controlled trial of web-based feedback for heavy drinking college students. Prev Sci. 2007;8(1):83–8. English.PubMedCrossRef
30.
Neighbors C, Larimer ME, Lewis MA. Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention. J Consult Clin Psychol. 2004;72(3):434.PubMedCrossRef
31.
Lewis MA, Neighbors C, Oster-Aaland L, Kirkeby BS, Larimer ME. Indicated prevention for incoming freshmen: Personalized normative feedback and high-risk drinking. Addict Behav. 2007;32(11):2495–508.PubMedPubMedCentralCrossRef
32.
Black N, Mullan B. An intervention to decrease heavy episodic drinking in college students: The effect of executive function training. J Am College Health. 2014 (just-accepted):00-.
33.
Hagger MS, Lonsdale A, Chatzisarantis NLD. A theory‐based intervention to reduce alcohol drinking in excess of guideline limits among undergraduate students. Br J Health Psychol. 2012;17(1):18–43.PubMedCrossRef
34.
Armitage CJ. Effectiveness of experimenter-provided and self-generated implementation intentions to reduce alcohol consumption in a sample of the general population: a randomized exploratory trial. Health Psychol. 2009;28(5):545.PubMedCrossRef
35.
Murgraff V, White D, Phillips K. Moderating binge drinking: It is possible to change behaviour if you plan it in advance. Alcohol Alcohol. 1996;31(6):577–82.PubMedCrossRef
36.
Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4.PubMedPubMedCentralCrossRef
37.
Hagger MS, Lonsdale A, Chatzisarantis NLD. Effectiveness of a brief intervention using mental simulations in reducing alcohol consumption in corporate employees. Psychol Health Med. 2011;16(4):375–92.PubMedCrossRef
38.
Hagger MS, Lonsdale AJ, Koka A, Hein V, Pasi H, Lintunen T, et al. An intervention to reduce alcohol consumption in undergraduate students using implementation intentions and mental simulations: A cross-national study. Int J Behav Med. 2012;19(1):82–96.PubMedCrossRef
39.
Kypri K, Saunders JB, Gallagher SJ. Acceptability of various brief intervention approaches for hazardous drinking among university students. Alcohol Alcohol. 2003;38(6):626–8.PubMedCrossRef
40.
White AW, Kavanagh D, Stallman H, Klein B, Kay-Lambkin F, Proudfoot J, et al. Online alcohol interventions: A systematic review. J Med Internet Res. 2010;12(5):e62.PubMedPubMedCentralCrossRef
41.
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.CrossRef
42.
Armitage CJ, Conner M. Efficacy of the theory of planned behaviour: A meta-analytic review. Br J Soc Psychol. 2001;40:471–99. PubMed PMID: 219214254; 11795063. English.PubMedCrossRef
43.
Conner M, Sparks P. Theory of planned behaviour and health behaviour. In: Conner M, Norman P, editors. Predicting health behaviour. 2nd ed. Berkshire: McGraw-Hill Education; 2005. p. 170–222.
44.
McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychol Rev. 2011;5(2):97–144.CrossRef
45.
Cooke R, Dahdah M, Norman P, French DP. How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health psychology review. 2014 (ahead-of-print):1–20.
46.
Webb TL, Sheeran P. Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychol Bull. 2006;132(2):249.PubMedCrossRef
47.
Sheeran P. Intention-behavior relations: A conceptual and empirical review. Eur Rev Soc Psychol. 2002;12(1):1–36.CrossRef
48.
Orbell S, Sheeran P. ‘Inclined abstainers’: A problem for predicting health‐related behaviour. Br J Soc Psychol. 1998;37(2):151–65.PubMedCrossRef
49.
Rhodes RE, Bruijn GJ. How big is the physical activity intention–behaviour gap? A meta‐analysis using the action control framework. Br J Health Psychol. 2013;18(2):296–309.PubMedCrossRef
50.
Sniehotta FF, Presseau J, Araujo-Soares V. Time to retire the theory of planned behaviour. Health Psychology Review. 2013:1–8
51.
52.
Gollwitzer PM, Brandstätter V. Implementation intentions and effective goal pursuit. J Pers Soc Psychol. 1997;73(1):186.CrossRef
53.
Gollwitzer PM. Goal achievement: The role of intentions. Eur Rev Soc Psychol. 1993;4(1):141–85.CrossRef
54.
Gollwitzer PM, Sheeran P. Implementation intentions and goal achievement: A meta-analysis of effects and processes. Adv Exp Soc Psychol. 2006;38:69–119.CrossRef
55.
Webb TL, Sheeran P. How do implementation intentions promote goal attainment? A test of component processes. J Exp Soc Psychol. 2007;43(2):295–302.CrossRef
56.
Murgraff V, Abraham C, McDermott M. Reducing Friday alcohol consumption among moderate, women drinkers: Evaluation of a brief evidence-based intervention. Alcohol Alcohol. 2007;42(1):37–41.PubMedCrossRef
57.
Hagger MS, Luszczynska A. Implementation intention and action planning interventions in health contexts: State of the research and proposals for the way forward. Applied Psychology: Health and Well-Being. 2014;6(1):1–47.
58.
Polizzotto MN, Saw MM, Tjhung I, Chua EH, Stockwell TR. Fluid skills: drinking games and alcohol consumption among Australian university students. Drug Alcohol Rev. 2007;26(5):469–75.PubMedCrossRef
59.
Ryan RM, Connell JP. Perceived locus of causality and internalization: Examining reasons for acting in two domains. J Pers Soc Psychol. 1989;57(5):749–61.PubMedCrossRef
60.
Deci EL, Ryan RM. Self-determination theory: A macrotheory of human motivation, development, and health. Can Psychol. 2008;49(3):182–5.CrossRef
61.
Vallerand RJ, Pelletier LG, Koestner R. Reflections on self-determination theory. Can Psychol. 2008;49(3):257–62.CrossRef
62.
Ng JYY, Ntoumanis M, Thøgersen-Ntoumani C, Deci EL, Ryan RM, Duda JL, et al. Self-determination theory applied to health contexts. Perspect Psychol Sci. 2012;7(4):325–40.PubMedCrossRef
63.
Pelletier LG, Fortier MS, Vallerand RJ, Briere NM. Associations among perceived autonomy support, forms of self-regulation, and persistence: A prospective study. Motiv Emot. 2001;25(4):279–306.CrossRef
64.
Vansteenkiste M, Simons J, Lens W, Sheldon KM, Deci EL. Motivating learning, performance, and persistence: the synergistic effects of intrinsic goal contents and autonomy-supportive contexts. J Pers Soc Psychol. 2004;87(2):246.PubMedCrossRef
65.
Hagger MS, Hardcastle SJ, Chater A, Mallett C, Pal S, Chatzisarantis NLD. Autonomous and controlled motivational regulations for multiple health-related behaviors: between- and within-participants analyses. Health Psychol Behav Med. 2014;2:565–601.PubMedPubMedCentralCrossRef
66.
Caudwell KM, Hagger MS. Predicting alcohol pre-drinking in Australian undergraduate students using an integrated theoretical model. Applied Psychology: Health and Wellbeing. in press:1–26.
67.
Ryan RM, Patrick H, Deci EL, Williams GC. Facilitating health behaviour change and its maintenance: Interventions based on self-determination theory. Eur Health Psychol. 2008;10(1):2–5.
68.
Keatley DA, Clarke DD, Hagger MS. The predictive validity of implicit measures of self-determined motivation across health-related behaviours. Br J Health Psychol. 2013;18(1):2–17.PubMedCrossRef
69.
Hagger MS, Lonsdale AJ, Hein V, Koka A, Lintunen T, Pasi H, et al. Predicting alcohol consumption and binge drinking in company employees: An application of planned behaviour and self-determination theories. Br J Health Psychol. 2011;17:1–29.
70.
Pavey LJ, Sparks P. Reactance, autonomy and paths to persuasion: Examining perceptions of threats to freedom and informational value. Motiv Emot. 2009;33(3):277–90.CrossRef
71.
Pavey LJ, Sparks P. Autonomy and defensiveness: Experimentally increasing adaptive responses to health-risk information via priming and self-affirmation. Psychol Health. 2011;27(3):259–76.PubMedCrossRef
72.
Pavey LJ, Sparks P. Autonomy and reactions to health-risk information. Psychol Health. 2010;25(7):855–72. PubMed Language: English. Entry Date: 20100910. Revision Date: 20110909. Publication Type: journal article.CrossRef
73.
Neighbors C, Larimer ME, Markman Geisner I, Knee CR. Feeling controlled and drinking motives among college students: Contingent self-esteem as a mediator. Self Identity. 2004;3(3):207–24.CrossRef
74.
Heckhausen H, Gollwitzer PM. Thought contents and cognitive functioning in motivational versus volitional states of mind. Motiv Emot. 1987;11(2):101–20. English.CrossRef
75.
Achtziger A, Gollwitzer PM. Motivation and volition in the course of action. In: Heckhausen J, Heckhausen H, editors. Motivation and Action. Cambridge: Cambridge University Press; 2008. p. 272–95.CrossRef
76.
Sheldon KM, Elliot AJ. Not all personal goals are personal: Comparing autonomous and controlled reasons for goals as predictors of effort and attainment. Pers Soc Psychol. 1998;24(5):546.CrossRef
77.
Sheldon KM, Kasser T. Pursuing personal goals: Skills enable progress, but not all progress is beneficial. Personal Soc Psychol Bull. 1998;24(12):1319–31.CrossRef
78.
Koestner R, Lekes N, Powers TA, Chicoine E. Attaining personal goals: Self-concordance plus implementation intentions equals success. J Pers Soc Psychol. 2002;83(1):231–44.PubMedCrossRef
79.
Koestner R, Horberg E, Gaudreau P, Powers T, Di Dio P, Bryan C, et al. Bolstering implementation plans for the long haul: The benefits of simultaneously boosting self-concordance or self-efficacy. Personal Soc Psychol Bull. 2006;32(11):1547–58.CrossRef
80.
Milne S, Orbell S, Sheeran P. Combining motivational and volitional interventions to promote exercise participation: Protection motivation theory and implementation intentions. Br J Health Psychol. 2002;7(2):163–84.PubMedCrossRef
81.
Prestwich A, Ayres K, Lawton R. Crossing two types of implementation intentions with a protection motivation intervention for the reduction of saturated fat intake: A randomized trial. Soc Sci Med. 2008;67(10):1550–8.PubMedCrossRef
82.
Prestwich A, Lawton R, Conner M. The use of implementation intentions and the decision balance sheet in promoting exercise behaviour. Psychol Health. 2003;18(6):707–21.CrossRef
83.
Fry JP, Neff RA. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009;11(2):e16. PubMed PMCID: Pmc2762806. Epub 2009/07/28. eng.PubMedPubMedCentralCrossRef
84.
Sainsbury K, Mullan B, Sharpe L. A randomized controlled trial of an online intervention to improve gluten-free diet adherence in celiac disease. Am J Gastroenterol. 2013;108(5):811–7.PubMedCrossRef
85.
Sniehotta FF, Scholz U, Schwarzer R, Fuhrmann B, Kiwus U, Völler H. Long-term effects of two psychological interventions on physical exercise and self-regulation following coronary rehabilitation. Int J Behav Med. 2005;12(4):244–55.PubMedCrossRef
86.
Su Y-l, Reeve J. A meta-analysis of the effectiveness of intervention programs designed to support autonomy. Educ Psychol Rev. 2011;23(1):159–88. PubMedacademic_MSTAR_854116002. English.CrossRef
87.
Cheon SH, Reeve J, Moon IS. Experimentally based, longitudinally designed, teacher-focused intervention to help physical education teachers be more autonomy supportive toward their students. J Sport Exerc Psychol. 2012;34(3):365–96.PubMedCrossRef
88.
Cheon SH, Reeve J. Do the benefits from autonomy-supportive PE teacher training programs endure?: A one-year follow-up investigation. Psychol Sport Exer. 2013;14(4):508–18.CrossRef
89.
90.
Adriaanse MA, de Ridder DTD, de Wit JBF. Finding the critical cue: Implementation intentions to change one’s diet work best when tailored to personally relevant reasons for unhealthy eating. Personal Soc Psychol Bull. 2009;35(1):60–71.CrossRef
91.
Caudwell KM and Hagger MS. Predicting alcohol pre-drinking in Australian undergraduate students using an integrated theoretical model. Applied Psychol: Health and Well-Being, 2015;7(2):188–213.
92.
Brown JM, Miller WR, Lawendowski LA. The self-regulation questionnaire. 1999.
93.
Kahler CW, Hustad J, Barnett NP, Strong DR, Borsari B. Validation of the 30-day version of the Brief Young Adult Alcohol Consequences Questionnaire for use in longitudinal studies. J Stud Alcohol Drugs. 2008;69(4):611–5. PubMed PMCID: PMC2493538. Epub 2008/07/10. eng.PubMedPubMedCentralCrossRef
94.
Kuntsche E, Labhart F. Drinking motives moderate the impact of pre-drinking on heavy drinking on a given evening and related adverse consequences—an event-level study. Addiction. 2013;108(10):1747–55.PubMedCrossRef
95.
Labhart F, Graham K, Wells S, Kuntsche E. Drinking before going to licensed premises: An event-level analysis of predrinking, alcohol consumption, and adverse outcomes. Alcohol Clin Exp Res. 2013;37(2):284–91.PubMedCrossRef
96.
Orbell S, Sheeran P. Motivational and volitional processes in action initiation: A field study of the role of implementation intentions. J Appl Soc Psychol. 2000;30:780–97.CrossRef
97.
Postel MG, de Haan HA, Ter Huurne ED, Becker ES, de Jong CA. Effectiveness of a web-based intervention for problem drinkers and reasons for dropout: randomized controlled trial. J Med Internet Res. 2010;12(4):e68.PubMedPubMedCentralCrossRef
98.
Carey KB, Scott-Sheldon LAJ, Carey MP, DeMartini KS. Individual-level interventions to reduce college student drinking: A meta-analytic review. Addict Behav. 2007;32(11):2469–94.PubMedPubMedCentralCrossRef
99.
Del Boca FK, Darkes J. The validity of self-reports of alcohol consumption: State of the science and challenges for research. Addiction. 2003;98:1–12.PubMedCrossRef
Metadata
Title
Combining motivational and volitional approaches to reducing excessive alcohol consumption in pre-drinkers: a theory-based intervention protocol
Authors
Kim M. Caudwell
Barbara A. Mullan
Martin S. Hagger
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-2648-7

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