Consumption rituals relating to food and drink: A review and research agenda.

Behaviours Consumer Drinks Food Literature review Perceptions Research agenda Rituals

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 22 02 2018
revised: 19 11 2018
accepted: 14 12 2018
pubmed: 21 12 2018
medline: 17 3 2020
entrez: 21 12 2018
Statut: ppublish

Résumé

Rituals are common in relation to consumption of food and drink, and are related to psychosocial benefits such as social bonding, affective change, and enhanced consumer perceptions. However, theoretical understanding of food and drink consumption rituals, and empirical examination of their effects and mechanisms of action, is limited. In this literature review we show a need for greater theoretical understanding of these rituals, and especially mechanisms linking ritual performance to outcomes. Such understanding would be greatly enhanced by a holistic model of consumption ritual and the development of an instrument that can be used to study different aspects of such rituals, both of which are currently lacking. We also highlight specific research questions regarding the cognitive, social, and affective outcomes of ritual consumption of food and drink, and the affective and cognitive-behavioural mechanisms that might precede them. We provide suggestions regarding the research paradigms and methods that might suit such questions, and encourage research along these lines of inquiry.

Identifiants

pubmed: 30572007
pii: S0195-6663(18)30249-6
doi: 10.1016/j.appet.2018.12.021
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-93

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Eleanor Ratcliffe (E)

Dyson School of Design Engineering, Imperial College London, United Kingdom. Electronic address: e.ratcliffe@imperial.ac.uk.

Weston Lyle Baxter (WL)

Dyson School of Design Engineering, Imperial College London, United Kingdom. Electronic address: weston.baxter@imperial.ac.uk.

Nathalie Martin (N)

Nestlé Research, Vers-chez-les-Blanc, 1000 Lausanne 26, Switzerland. Electronic address: nathalie.martin@rdls.nestle.com.

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Classifications MeSH