Predicting sugar consumption: Application of an integrated dual-process, dual-phase model

M S Hagger; N Trost; Jacob Keech; D K C Chan; K Hamilton

doi:10.1016/j.appet.2017.04.032

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Predicting sugar consumption: Application of an integrated dual-process, dual-phase model

Journal article

Open access

Peer reviewed

Predicting sugar consumption: Application of an integrated dual-process, dual-phase model

M S Hagger, N Trost, Jacob Keech, D K C Chan and K Hamilton

Appetite, Vol.116, pp.147-156

2017

DOI: https://doi.org/10.1016/j.appet.2017.04.032

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Abstract

sugar intake

intentions

implicit attitudes

reflective-impulsive model

model of action phases

action planning

Excess consumption of added dietary sugars is related to multiple metabolic problems and adverse health conditions. Identifying the modifiable social cognitive and motivational constructs that predict sugar consumption is important to inform behavioral interventions aimed at reducing sugar intake. We tested the efficacy of an integrated dual-process, dual-phase model derived from multiple theories to predict sugar consumption. Using a prospective design, university students (N = 90) completed initial measures of the reflective (autonomous and controlled motivation, intentions, attitudes, subjective norm, perceived behavioral control), impulsive (implicit attitudes), volitional (action and coping planning), and behavioral (past sugar consumption) components of the proposed model. Self-reported sugar consumption was measured two weeks later. A structural equation model revealed that intentions, implicit attitudes, and, indirectly, autonomous motivation to reduce sugar consumption had small, significant effects on sugar consumption. Attitudes, subjective norm, and, indirectly, autonomous motivation to reduce sugar consumption predicted intentions. There were no effects of the planning constructs. Model effects were independent of the effects of past sugar consumption. The model identified the relative contribution of reflective and impulsive components in predicting sugar consumption. Given the prominent role of the impulsive component, interventions that assist individuals in managing cues-to-action and behavioral monitoring are likely to be effective in regulating sugar consumption.

Details

Title: Predicting sugar consumption: Application of an integrated dual-process, dual-phase model
Authors: M S Hagger (Author) - Curtin University
N Trost (Author) - Curtin University
Jacob Keech (Author) - Griffith University
D K C Chan (Author) - University of Hong Kong, Hong Kong
K Hamilton (Author) - Curtin University
Publication details: Appetite, Vol.116, pp.147-156
Publisher: Elsevier BV
Date published: 2017
DOI: 10.1016/j.appet.2017.04.032
ISSN: 0195-6663
Copyright note: Copyright © 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; School of Health - Psychology; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99450830402621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Behavioral Sciences; Nutrition & Dietetics

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