Original Article

Reasoned and implicit processes in heavy episodic drinking: An integrated dual-process model

Corresponding Author

Kyra Hamilton

[email protected]

orcid.org/0000-0001-9975-685X

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

Laboratory of Self-Regulation and Health Psychology and Behavioural Medicine Research Group, School of Psychology, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia

Correspondence should be addressed to Kyra Hamilton, Health and Psychology Innovations (HaPI) Laboratory, School of Applied Psychology, Griffith University, Mt Gravatt Campus, 176 Messines Ridge Road, Mt Gravatt, Queensland, Qld 4122, Australia (email: [email protected]).

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Isabelle Gibbs,

Isabelle Gibbs

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

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Jacob J. Keech,

Jacob J. Keech

orcid.org/0000-0003-2504-9778

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

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Martin S. Hagger,

Martin S. Hagger

orcid.org/0000-0002-2685-1546

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

Psychological Sciences, University of California, Merced, California, USA

Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland

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Kyra Hamilton,

Corresponding Author

Kyra Hamilton

[email protected]

orcid.org/0000-0001-9975-685X

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

Laboratory of Self-Regulation and Health Psychology and Behavioural Medicine Research Group, School of Psychology, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia

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Isabelle Gibbs,

Isabelle Gibbs

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

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Jacob J. Keech,

Jacob J. Keech

orcid.org/0000-0003-2504-9778

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

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Martin S. Hagger,

Martin S. Hagger

orcid.org/0000-0002-2685-1546

School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia

Psychological Sciences, University of California, Merced, California, USA

Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland

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First published: 26 December 2019

https://doi.org/10.1111/bjhp.12401

Citations: 36

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Abstract

Objectives

University students commonly engage in heavy episodic drinking (HED), which contributes to injury risk, deleterious educational outcomes, and economic costs. Identification of the determinants of this risky behaviour may provide formative evidence on which to base effective interventions to curb HED in this population. Drawing from theories of social cognition and dual-process models, this study tested key hypotheses relating to reasoned and implicit pathways to action for HED in a sample of Australian university students who drink alcohol.

Design

A two-wave correlational design was adopted.

Methods

Students (N = 204) completed self-reported constructs from social cognition theories with respect to HED at an initial time point (T1): attitude, subjective norm, perceived behavioural control, intentions, habit, past behaviour, and implicit alcohol identity. Four weeks later (T2), students self-reported their HED behaviour and habit.

Results

An initial path model indicated attitude and subjective norm predicted intentions, and intentions and implicit alcohol identity predicted HED. Inclusion of past behaviour and habit revealed direct effects of these on HED. Effects of T1 habit on HED were indirect through T2 habit, and there were indirect effects of past behaviour on HED through habit at both time points and the social cognition constructs. Direct effects of intentions and implicit alcohol identity, and indirect effects of attitude and subjective norm, on HED, were attenuated by the inclusion of past behaviour and habit.

Conclusion

Results indicate that university students’ HED tends to be governed by non-conscious, automatic processes than conscious, intentional processes.

Statement of contribution

What is already known on this subject?

Social cognitive factors are associated with risky alcohol consumption behaviours.
Dual-process models are being used to explain health behaviours, such as heavy episodic drinking (HED).

What does this study add?

Past HED behaviour and HED habits have direct and indirect effects on students’ HED behaviour.
Past behaviour and habit attenuate the effects of intentions and implicit alcohol identity on HED.

Conflicts of interest

The authors declare that they have no conflict of interest.

Open Research

Data availability statement

Data files and analysis scripts are available online from the Open Science Framework project for this study: https://osf.io/rj8ud.

References

Abelson, R. P. (1981). Psychological status of the script concept. American Psychologist, 36, 715–729. https://doi.org/10.1037/0003-066X.36.7.715
10.1037/0003-066X.36.7.715
Web of Science®Google Scholar
Ajzen, I. (2002a). Constructing a TPB questionnaire: Conceptual and methodological considerations. (September 1, 2002). Retrieved from http://people.umass.edu/~aizen/pdf/tpb.measurement.pdf
Google Scholar
Ajzen, I. (2002b). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and Social Psychology Review, 6, 107–122. https://doi.org/10.1207/S15327957PSPR0602_02
10.1207/S15327957PSPR0602_02
Web of Science®Google Scholar
Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology and Health, 26, 1113–1127. https://doi.org/10.1080/08870446.2011.613995
10.1080/08870446.2011.613995
PubMedWeb of Science®Google Scholar
Allom, V., Mullan, B., Cowie, E., & Hamilton, K. (2016). Physical activity and transitioning to college: The importance of intentions and habits. American Journal of Health Behavior, 40, 280–290. https://doi.org/10.5993/AJHB.40.2.13
10.5993/AJHB.40.2.13
PubMedWeb of Science®Google Scholar
Allom, V., Mullan, B. A., Monds, L., Orbell, S., Hamilton, K., Rebar, A., & Hagger, M. S. (2018). Reflective and impulsive processes underlying saving behaviour and the additional roles of self-control and habit. Journal of Neuroscience, Psychology, and Economics, 11, 135–146. https://doi.org/10.1037/npe0000093
10.1037/npe0000093
Web of Science®Google Scholar
Brown, D. J., Hagger, M. S., Morrissey, S., & Hamilton, K. (2017). Predicting fruit and vegetable consumption in long-haul heavy goods vehicle drivers: Application of a multi-theory, dual-phase model and the contribution of past behaviour. Appetite, 121, 326–336. https://doi.org/10.1016/j.appet.2017.11.106
10.1016/j.appet.2017.11.106
PubMedWeb of Science®Google Scholar
Caudwell, K. M., Keech, J. J., Hamilton, K., Mullan, B. A., & Hagger, M. S. (2019). Reducing alcohol consumption during pre-drinking sessions: Testing an integrated behaviour-change model. Psychology & Health, 34, 106–127. https://doi.org/10.1080/08870446.2018.1518527
10.1080/08870446.2018.1518527
PubMedWeb of Science®Google Scholar
Conner, M. T., 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, 642–652. https://doi.org/10.1037/hea0000143
10.1037/hea0000143
PubMedWeb of Science®Google Scholar
Cyders, M. A., Flory, K., Rainer, S., & Smith, G. T. (2009). The role of personality dispositions to risky behavior in predicting first-year college drinking. Addiction, 104, 193–202. https://doi.org/10.1111/j.1360-0443.2008.02434.x
10.1111/j.1360-0443.2008.02434.x
PubMedWeb of Science®Google Scholar
Ditlevsen, S., Christensen, U., Lynch, J., Damsgaard, M. T., & Keiding, N. (2005). The mediation proportion: A structural equation approach for estimating the proportion of exposure effect on outcome explained by an intermediate variable. Epidemiology, 16, 114–120. https://doi.org/10.1097/01.ede.0000147107.76079.07
10.1097/01.ede.0000147107.76079.07
PubMedWeb of Science®Google Scholar
Duckworth, A. L., Gendler, T. S., & Gross, J. J. (2016). Situational strategies for self-control. Perspectives on Psychological Science, 11, 35–55. https://doi.org/10.1177/1745691615623247
10.1177/1745691615623247
PubMedWeb of Science®Google Scholar
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430–457. https://doi.org/10.1207/S15328007SEM0803_5
10.1207/S15328007SEM0803_5
Web of Science®Google Scholar
Gardner, B., Abraham, C., Lally, P., & de Bruijn, G.-J. (2012). Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the self-report habit index. International Journal of Behavioral Nutrition and Physical Activity, 9, 102. https://doi.org/10.1186/1479-5868-9-102
10.1186/1479-5868-9-102
PubMedWeb of Science®Google Scholar
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the Implicit Association Test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85, 197–216. https://doi.org/10.1037/0022-3514.85.2.197
10.1037/0022-3514.85.2.197
PubMedWeb of Science®Google Scholar
Hagger, M. S. (2019). Habit and physical activity: Theoretical advances, practical implications, and agenda for future research. Psychology of Sport and Exercise, 42, 118–129. https://doi.org/10.1016/j.psychsport.2018.12.007
10.1016/j.psychsport.2018.12.007
Web of Science®Google Scholar
Hagger, M. S. (2020). Redefining habits and linking habits with other implicit processes. Psychology of Sport and Exercise, 46, 101606. https://doi.org/10.1016/j.psychsport.2019.101606
10.1016/j.psychsport.2019.101606
Web of Science®Google Scholar
Hagger, M. S., Chan, D. K. C., Protogerou, C., & Chatzisarantis, N. L. D. (2016). Using meta-analytic path analysis to test theoretical predictions in health behavior: An illustration based on meta-analyses of the theory of planned behavior. Preventive Medicine, 89, 154–161. https://doi.org/10.1016/j.ypmed.2016.05.020
10.1016/j.ypmed.2016.05.020
PubMedWeb of Science®Google Scholar
Hagger, M. S., Gucciardi, D. F., Turrell, A., & Hamilton, K. (2019). Self-control and health-related behavior: The role of implicit self-control, trait self-control, and lay beliefs in self-control. British Journal of Health Psychology, 24, 764–786. https://doi.org/10.1111/bjhp.12378
10.1111/bjhp.12378
PubMedWeb of Science®Google Scholar
Hagger, M. S., Hankonen, N., Kangro, E.-M., Lintunen, T., Pagaduan, J., Polet, J., … Hamilton, K. (2019). Trait self-control, social cognition constructs, and intentions: Correlational evidence for mediation and moderation effects in diverse health behaviors. Applied Psychology: Health and Well-Being, 11, 407–437. https://doi.org/10.1111/aphw.12153
10.1111/aphw.12153
PubMedWeb of Science®Google Scholar
Hagger, M. S., Polet, J., & Lintunen, T. (2018). The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling. Social Science and Medicine, 213, 85–94. https://doi.org/10.1016/j.socscimed.2018.07.038
10.1016/j.socscimed.2018.07.038
PubMedWeb of Science®Google Scholar
Hagger, M. S., Rebar, A. L., Mullan, B. A., Lipp, O. V., & Chatzisarantis, N. L. D. (2015). The subjective experience of habit captured by self-report indexes may lead to inaccuracies in the measurement of habitual action. Health Psychology Review, 9, 296–302. https://doi.org/10.1080/17437199.2014.959728
10.1080/17437199.2014.959728
PubMedWeb of Science®Google Scholar
Hagger, M. S., Trost, N., Keech, J., Chan, D. K. C., & Hamilton, K. (2017). Predicting sugar consumption: Application of an integrated dual-process, dual-phase model. Appetite, 116, 147–156. https://doi.org/10.1016/j.appet.2017.04.032
10.1016/j.appet.2017.04.032
PubMedWeb of Science®Google Scholar
Hamilton, K., Kirkpatrick, A., Rebar, A., & Hagger, M. S. (2017). Child sun safety: Application of an integrated behavior change model. Health Psychology, 36, 916–926. https://doi.org/10.1037/hea0000533.
10.1037/hea0000533
PubMedWeb of Science®Google Scholar
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach ( 2nd ed .). New York, NY: Guildford Press.
Google Scholar
Hollands, G. J., Marteau, T. M., & Fletcher, P. C. (2016). Non-conscious processes in changing health-related behaviour: A conceptual analysis and framework. Health Psychology Review, 10, 381–394. https://doi.org/10.1080/17437199.2015.1138093
10.1080/17437199.2015.1138093
PubMedWeb of Science®Google Scholar
Lane, K. A., Banaji, M. R., Nosek, B. A., & Greenwald, A. G. (2007). Understanding and using the Implicit Association Test: IV. What we know (so far). In B. Wittenbrink, & N. S. Schwarz (Eds.), Implicit measures of attitudes: Procedures and controversies (pp. 59–102). New York, NY: Guildford Press.
Google Scholar
Lindgren, K. P., Neighbors, C., Teachman, B. A., Gasser, M. L., Kaysen, D., Norris, J., & Wiers, R. W. (2015). Habit doesn't make the predictions stronger: Implicit alcohol associations and habitualness predict drinking uniquely. Addictive Behaviors, 45, 139–145. https://doi.org/10.1016/j.addbeh.2015.01.003
10.1016/j.addbeh.2015.01.003
PubMedWeb of Science®Google Scholar
NHMRC. (2009). Australian Guidelines to reduce health risks from drinking alcohol. Canberra, ACT: Author.
Google Scholar
Norman, P., & Conner, M. (2006). The theory of planned behaviour and binge drinking: Assessing the moderating role of past behaviour within the theory of planned behaviour. British Journal of Health Psychology, 11, 55–70. https://doi.org/10.1348/135910705X43741
10.1348/135910705X43741
PubMedWeb of Science®Google Scholar
Orbell, S., & Verplanken, B. (2010). The automatic component of habit in health behavior: Habit as cue-contingent automaticity. Health Psychology, 29, 374–383. https://doi.org/10.1037/a0019596
10.1037/a0019596
PubMedWeb of Science®Google Scholar
Ouellette, J. A., & Wood, W. (1998). Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124, 54–74. https://doi.org/10.1037//0033-2909.124.1.54
10.1037/0033-2909.124.1.54
Web of Science®Google Scholar
Prosser, T., Gee, K. A., & Jones, F. (2018). A meta-analysis of effectiveness of E-interventions to reduce alcohol consumption in college and university students. Journal of American College Health, 66, 292–301. https://doi.org/10.1080/07448481.2018.1440579
10.1080/07448481.2018.1440579
PubMedWeb of Science®Google Scholar
Revelle, W., & Zinbarg, R. E. (2008). Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma. Psychometrika, 74, 145. https://doi.org/10.1007/s11336-008-9102-z
10.1007/s11336-008-9102-z
Web of Science®Google Scholar
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–36. https://doi.org/10.18637/jss.v048.i02
10.18637/jss.v048.i02
Web of Science®Google Scholar
Satorra, A., & Saris, W. E. (1985). Power of the likelihood ratio test in covariance structure analysis. Psychometrika, 50, 83–90. https://doi.org/10.1007/bf02294150
10.1007/BF02294150
Web of Science®Google Scholar
Schenker, N., & Gentleman, J. F. (2001). On judging the significance of differences by examining the overlap between confidence intervals. The American Statistician, 55, 182–186. https://doi.org/10.1198/000313001317097960
10.1198/000313001317097960
Web of Science®Google Scholar
Sniehotta, F. F., & Presseau, J. (2012). The habitual use of the self-report habit index. Annals of Behavioral Medicine, 43, 139–140. https://doi.org/10.1007/s12160-011-9305-x
10.1007/s12160-011-9305-x
PubMedWeb of Science®Google Scholar
Stafford, J. K. D. (2017). Alcohol in the university setting: A resource to support Australian universities. Perth, WA: McCusker Centre for Action on Alcohol and Youth, Curtin University.
Google Scholar
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 220–247. https://doi.org/10.1207/s15327957pspr0803_1
10.1207/s15327957pspr0803_1
PubMedWeb of Science®Google Scholar
van Bree, R. J. H., van Stralen, M. M., Mudde, A. N., Bolman, C., de Vries, H., & Lechner, L. (2015). Habit as mediator of the relationship between prior and later physical activity: A longitudinal study in older adults. Psychology of Sport and Exercise, 19, 95–102. https://doi.org/10.1016/j.psychsport.2015.03.006
10.1016/j.psychsport.2015.03.006
Web of Science®Google Scholar
Vo, P. T., & Bogg, T. (2015). Testing theory of planned behavior and neo-socioanalytic theory models of trait activity, industriousness, exercise social cognitions, exercise intentions, and physical activity in a representative U.S. sample. Frontiers in Psychology, 6, 1114. https://doi.org/10.3389/fpsyg.2015.01114
10.3389/fpsyg.2015.01114
PubMedWeb of Science®Google Scholar
WHO. (2018). Global status report on alcohol and health 2018. Geneva, Switzerland: World health Organization.
Google Scholar
Wood, W., & Rünger, D. (2016). Psychology of habit. In S. T. Fiske (Ed.), Annual review of psychology (Vol. 67, pp. 289–314). Palo Alto, CA: Annual Reviews.
10.1146/annurev-psych-122414-033417
Google Scholar
Z. Zhang, & K.-H. Yuan (Eds.) (2018). Practical statistical power analysis using Webpower and R. Granger, IN: ISDSA Press.
10.35566/power
Google Scholar

Citing Literature

Volume25, Issue1

February 2020

Pages 189-209

Reasoned and implicit processes in heavy episodic drinking: An integrated dual-process model

Abstract

Objectives

Design

Methods

Results

Conclusion

Statement of contribution

Conflicts of interest

Open Research

Data availability statement

References

Citing Literature

References

Information

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Reasoned and implicit processes in heavy episodic drinking: An integrated dual-process model

Abstract

Objectives

Design

Methods

Results

Conclusion

Statement of contribution

Conflicts of interest

Open Research

Data availability statement

References

Citing Literature

References

Related

Information