Although a great deal is known about what people eat and the demographic and life style factors associated with food habits, relatively little systematic work has been done to investigate why people choose various foods. The present study describes a common‐sense approach to this question. Based on a series of free‐ranging exploratory interviews, a questionnaire that asked persons to rate 35 menu meals and snacks in terms of four scales; pleasure, health, tradition and convenience, was administered to 248 males (N = 104) and females (N = 144) ranging in age from 17 to 72 years. Series of component and discriminant analyses were performed for each scale. Results showing significant differences for age, sex and nutrition knowledge demonstrate it is possible to identify salient, common‐sense meanings of foods that combine to determine their status as items of dietary choice. Apart from providing a rigorous technique for cognitive mapping of food meanings, these results suggest new possibilities for studying conceptual structures underlying food habits and preferences.
Reasons for eating: An exploratory cognitive analysis
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.