Predicting Alcohol Pre-Drinking in Australian Undergraduate Students Using an Integrated Theoretical Model

Caudwell, Kim M.; Hagger, Martin S.

doi:10.1111/aphw.12044

Cited by 22 publications

(29 citation statements)

References 73 publications

(132 reference statements)

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“…These factors are consistent with research that has identified cost and availability of alcohol as key determinants of excessive alcohol consumption, particularly in young people [43][44][45][46][47]. This is particularly important for policy makers as it seems that participants considered the increasing affordability of alcohol to be the most significant contributor to its growing availability, not extended opening hours.…”

Section: Discussionsupporting

confidence: 83%

Lay understanding of the causes of binge drinking in the United Kingdom and Australia: a network diagram approach

et al. 2017

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Risky single-session alcohol consumption or 'binge' drinking is associated with increased health risks and deleterious health, social, and economic outcomes. The aim of this study was to explore the lay causes of excessive alcohol consumption among members of the general public in the UK and Australia. Participants in the UK (N = 133) and Australia (N = 102) completed a network diagram exercise requiring them to indicate the causal relations and the relative strength of the causes among a set of 12 candidate factors (income, age, alcohol availability, drinking culture, low alcohol cost, alcohol advertising, stress, peer pressure, supermarket discount, parental influence, 24-hour opening, boredom) and binge drinking. Findings indicated that the low alcohol cost was the most consistently and strongly factor directly linked to binge drinking by the UK participants. In contrast, Australian participants identified drinking culture and peer pressure as major causes alongside low alcohol cost. While there was consistency in the major perceived cause of binge drinking in the two national groups, some key differences emerged, particularly concerning the role of drinking culture. Current findings may inform the development of preventive measures, health policy, and behavioural interventions with respect to binge drinking.

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Section: Discussionsupporting

confidence: 83%

Lay understanding of the causes of binge drinking in the United Kingdom and Australia: a network diagram approach

et al. 2017

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“…Participants completed multi-item self-report measures of study constructs based on published guidelines and measures used in previous studies (Caudwell & Hagger, 2015;Hagger, Chatzisarantis, & Harris, 2006;Job et al, 2010;Patton, Stanford, & Barratt, 1995;Tangney et al, 2004) and the self-control IAT developed specifically for the current study. Complete study measures including items, response scales, and sources are provided in Appendix S1.…”

Section: Methodsmentioning

confidence: 99%

Self‐control and health‐related behaviour: The role of implicit self‐control, trait self‐control, and lay beliefs in self‐control

Hagger

Gucciardi

Turrell

et al. 2019

British J Health Psychol

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Objectives. We tested unique contribution of trait self-control, implicit self-control, and lay beliefs in self-control beliefs to the prediction of health-related behaviours. We also tested whether relations between trait self-control and health-related behaviour, and between implicit self-control and health-related behaviours, were moderated by selfcontrol beliefs.Design. Cross-sectional, correlational.Methods. Students (N = 176) completed self-report measures of trait self-control, lay beliefs that self-control is limited or non-limited, non-planning, participation in healthrelated behaviours (impulsive eating, impulsive drinking, exercise avoidance, watching diet, alcohol consumption, physical activity participation), and demographic variables. Participants also completed a measure of implicit self-control using an implicit association test.Results. Analyses indicated significant negative relations between implicit self-control and impulsive drinking and alcohol consumption. We also found a positive relationship between implicit self-control and exercise behaviour, and a negative relationship between implicit self-control and impulsive eating, both of which fell marginally short of statistical significance. Trait self-control significantly predicted all behavioural measures and attenuated relations between implicit self-control and health-related behaviour. We found no relations between lay beliefs in self-control and health-related behaviour. Moderated path analyses revealed that lay beliefs in self-control moderated relations between trait self-control and impulsive drinking, implicit self-control and exercise avoidance, and implicit self-control and physical activity participation.Conclusions. Findings suggest that trait self-control was a consistent correlate of health-related behaviour, while the effect sizes of relationships between implicit self-

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“…Although less is known about the relationship between pregaming attitudes and behavior, Caudwell and Hagger (2015) found a positive bivariate correlation as well as a significant pathway from more positive attitudes about pregaming to greater pregaming participation that was mediated by intentions to pregame. According to the theory of reasoned action, attitudes and perceived peer norms independently explain behavior (Ajzen, 1988).…”

Section: Introductionmentioning

confidence: 76%

“…To our knowledge, only two studies have examined the effects of injunctive norms on pregaming. In Caudwell and Hagger's (2015) study, greater perceived approval from others about one's engagement in pregaming was correlated with pregaming frequency and predicted pregaming via greater intentions to pregame (Caudwell & Hagger, 2015). In Rutledge, McCarthy, and Lendyak (2014), pregame-specific injunctive norms was a significant predictor of alcohol consumed while pregaming (i.e., pregaming quantity) among men, independent of pregaming descriptive norms.…”

Section: Introductionmentioning

confidence: 95%

“…Recently, Caudwell and Hagger (2015) examined the influence of motivational and social-cognitive pathways on pregaming behavior in a sample of undergraduate pregamers. The results showed that personal attitudes toward pregaming and subjective norms (others' approval of participant's engagement in pregaming) partially mediated the relationship between autonomous motivation and intentions to pregame; intentions, in turn, predicted pregaming frequency at follow-up.…”

Section: Introductionmentioning

confidence: 99%

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The Effect of Descriptive Norms on Pregaming Frequency: Tests of Five Moderators

Merrill

Kenney

Carey

2016

Substance Use & Misuse

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Background Pregaming is highly prevalent on college campuses and associated with heightened levels of intoxication and risk of alcohol consequences. However, research examining the correlates of pregaming behavior is limited. Descriptive norms (i.e., perceptions about the prevalence or frequency of a behavior) are reliable and comparatively strong predictors of general drinking behavior, with recent evidence indicating that they are also associated with pregaming. Objectives We tested the hypothesis that higher descriptive norms for pregaming frequency would be associated with personal pregaming frequency. We also tested whether this effect would be stronger in the context of several theory-based moderators: female gender, higher injunctive norms (i.e., perceptions of others' attitudes toward a particular behavior), a more positive attitude toward pregaming, a stronger sense of identification with the drinking habits of other students, and stronger social comparison tendencies. Methods College student drinkers (N=198, 63% female) participated in an online survey assessing frequency of pregaming, descriptive norms, and hypothesized moderators. Results A multiple regression model revealed that higher descriptive norms, a more positive attitude toward pregaming, and stronger peer identification were significantly associated with greater pregaming frequency among drinkers. However, no moderators of the association between descriptive norms and pregaming frequency were observed. Conclusions/Importance Descriptive norms are robust predictors of pregaming behavior, for both genders and across levels of several potential moderators. Future research seeking to understand pregaming behavior should consider descriptive norms, as well as personal attitudes and identification with student peers, as targets of interventions designed to reduce pregaming.

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Predicting Alcohol Pre-Drinking in Australian Undergraduate Students Using an Integrated Theoretical Model

Cited by 22 publications

References 73 publications

Lay understanding of the causes of binge drinking in the United Kingdom and Australia: a network diagram approach

Lay understanding of the causes of binge drinking in the United Kingdom and Australia: a network diagram approach

Self‐control and health‐related behaviour: The role of implicit self‐control, trait self‐control, and lay beliefs in self‐control

The Effect of Descriptive Norms on Pregaming Frequency: Tests of Five Moderators

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