The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Conceptual Models of Food Choice: Influential Factors Related to Foods, Individual Differences, and Society
Open accessAbstract
Understanding individual food choices is critical for transforming the current food system to ensure healthiness of people and sustainability of the planet. Throughout the years, researchers from different fields have proposed conceptual models addressing factors influencing the food choice, recognized as a key leverage to improve planetary and human health. However, a multidisciplinary approach is needed to better understand how different factors are involved and interact with each other in the decision-making process. The present paper reviews and analyzes existing models, providing an intact point-of-view by integrating key elements into a bigger framework. Key determinants of general food choice are identified and categorized, including food-internal factor (sensory and perceptual features), food-external factors (information, social environment, physical environment), personal-state factors (biological features and physiological needs, psychological components, habits and experiences), cognitive factors (knowledge and skills, attitude, liking and preference, anticipated consequences, and personal identity), as well as sociocultural factors (culture, economic variables, political elements). Moreover, possible directions of influence among the factors towards final food choice were discussed. The need of multidisciplinary impulses across research field with the support of empirical data are crucial for understanding factors influencing food choice as well as for enriching existing conceptual models. The framework proposed here would serve as a roadmap for facilitating communications and collaborations between research fields in a structural and systematic way.
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Cites
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems
Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Garnett, T., Tilman, D., DeClerck, F., Wood, A., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)31788-4 · Cited by 10,880
Reducing food's environmental impacts through producers and consumers
Poore, J., & Nemecek, T. (2018) · Science · doi:10.1126/science.aaq0216 · Cited by 6,085
The global obesity pandemic: shaped by global drivers and local environments
Swinburn, B. A., Sacks, G., Hall, K. D., McPherson, K., Finegood, D. T., Moodie, M. L., & Gortmaker, S. L. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60813-1 · Cited by 4,888
The State of Food Security and Nutrition in the World 2026
(2026) · FAO · doi:10.4060/cd8306en · Cited by 3,770
Global diets link environmental sustainability and human health
Tilman, D., & Clark, M. (2014) · Nature · doi:10.1038/nature13959 · Cited by 3,026
Creating Healthy Food and Eating Environments: Policy and Environmental Approaches
Story, M., Kaphingst, K. M., Robinson-O'Brien, R., & Glanz, K. (2008) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.29.020907.090926 · Cited by 2,365
Swinburn, B., Egger, G., & Raza, F. (1999) · Preventive Medicine · doi:10.1006/pmed.1999.0585 · Cited by 2,267
Ultra‐processed products are becoming dominant in the global food system
Monteiro, C. A., Moubarac, J. ‐., Cannon, G., Ng, S. W., & Popkin, B. (2013) · Obesity Reviews · doi:10.1111/obr.12107 · Cited by 1,827
Sustainability labels on food products: consumer motivation, understanding and use
Grunert, K. G., Hieke, S., & Wills, J. (2014) · Food Policy · doi:10.1016/j.foodpol.2013.12.001 · Cited by 1,334
Metadata
- Authors
- Chen, P.-J., & Antonelli, M.
- Venue
- Foods
- Publisher
- MDPI AG
- Published
- 2020-12-18
- Volume
- 9
- Issue
- 12
- Pages
- 1898
- ISSN
- 2304-8158 (ISSN-L)
- OpenAlex
- W3111438812
- Cited by
- 580
- References
- 130
- FWCI
- 26.25
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.