Predicting heavy episodic drinking using an extended temporal self-regulation theory

© 2017 Elsevier LtdIntroduction: Alcohol consumption contributes significantly to the global burden from disease and injury, and specific patterns of heavy episodic drinking contribute uniquely to this burden. Temporal self-regulation theory and the dual-process model describe similar theoretical co...

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Main Authors: Black, N., Mullan, Barbara, Sharpe, L.
Format: Journal Article
Published: Pergamon 2017
Online Access:http://hdl.handle.net/20.500.11937/53848
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author Black, N.
Mullan, Barbara
Sharpe, L.
author_facet Black, N.
Mullan, Barbara
Sharpe, L.
author_sort Black, N.
building Curtin Institutional Repository
collection Online Access
description © 2017 Elsevier LtdIntroduction: Alcohol consumption contributes significantly to the global burden from disease and injury, and specific patterns of heavy episodic drinking contribute uniquely to this burden. Temporal self-regulation theory and the dual-process model describe similar theoretical constructs that might predict heavy episodic drinking. The aims of this study were to test the utility of temporal self-regulation theory in predicting heavy episodic drinking, and examine whether the theoretical relationships suggested by the dual-process model significantly extend temporal self-regulation theory. Methods: This was a predictive study with 149 Australian adults. Measures were questionnaires (self-report habit index, cues to action scale, purpose-made intention questionnaire, timeline follow-back questionnaire) and executive function tasks (Stroop, Tower of London, operation span). Participants completed measures of theoretical constructs at baseline and reported their alcohol consumption two weeks later. Data were analysed using hierarchical multiple linear regression. Results: Temporal self-regulation theory significantly predicted heavy episodic drinking (R2 = 48.0–54.8%, p < 0.001) and the hypothesised extension significantly improved the prediction of heavy episodic drinking frequency (?R2 = 4.5%, p = 0.001) but not peak consumption (?R2 = 1.4%, p = 0.181). Intention and behavioural prepotency directly predicted heavy episodic drinking (p < 0.01). Planning ability moderated the intention-behaviour relationship and inhibitory control moderated the behavioural prepotency-behaviour relationship (p < 0.05). Conclusions: Both temporal self-regulation theory and the extended temporal self-regulation theory provide good prediction of heavy episodic drinking. Intention, behavioural prepotency, planning ability and inhibitory control may be good targets for interventions designed to decrease heavy episodic drinking.
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spelling curtin-20.500.11937-538482017-09-13T15:47:35Z Predicting heavy episodic drinking using an extended temporal self-regulation theory Black, N. Mullan, Barbara Sharpe, L. © 2017 Elsevier LtdIntroduction: Alcohol consumption contributes significantly to the global burden from disease and injury, and specific patterns of heavy episodic drinking contribute uniquely to this burden. Temporal self-regulation theory and the dual-process model describe similar theoretical constructs that might predict heavy episodic drinking. The aims of this study were to test the utility of temporal self-regulation theory in predicting heavy episodic drinking, and examine whether the theoretical relationships suggested by the dual-process model significantly extend temporal self-regulation theory. Methods: This was a predictive study with 149 Australian adults. Measures were questionnaires (self-report habit index, cues to action scale, purpose-made intention questionnaire, timeline follow-back questionnaire) and executive function tasks (Stroop, Tower of London, operation span). Participants completed measures of theoretical constructs at baseline and reported their alcohol consumption two weeks later. Data were analysed using hierarchical multiple linear regression. Results: Temporal self-regulation theory significantly predicted heavy episodic drinking (R2 = 48.0–54.8%, p < 0.001) and the hypothesised extension significantly improved the prediction of heavy episodic drinking frequency (?R2 = 4.5%, p = 0.001) but not peak consumption (?R2 = 1.4%, p = 0.181). Intention and behavioural prepotency directly predicted heavy episodic drinking (p < 0.01). Planning ability moderated the intention-behaviour relationship and inhibitory control moderated the behavioural prepotency-behaviour relationship (p < 0.05). Conclusions: Both temporal self-regulation theory and the extended temporal self-regulation theory provide good prediction of heavy episodic drinking. Intention, behavioural prepotency, planning ability and inhibitory control may be good targets for interventions designed to decrease heavy episodic drinking. 2017 Journal Article http://hdl.handle.net/20.500.11937/53848 10.1016/j.addbeh.2017.04.017 Pergamon restricted
spellingShingle Black, N.
Mullan, Barbara
Sharpe, L.
Predicting heavy episodic drinking using an extended temporal self-regulation theory
title Predicting heavy episodic drinking using an extended temporal self-regulation theory
title_full Predicting heavy episodic drinking using an extended temporal self-regulation theory
title_fullStr Predicting heavy episodic drinking using an extended temporal self-regulation theory
title_full_unstemmed Predicting heavy episodic drinking using an extended temporal self-regulation theory
title_short Predicting heavy episodic drinking using an extended temporal self-regulation theory
title_sort predicting heavy episodic drinking using an extended temporal self-regulation theory
url http://hdl.handle.net/20.500.11937/53848