A Logistic Regression Model for the Analysis of Attitudes and Behaviours Towards Functional Foods Among Senior Consumers Aged 60+ Years

Anna Suszek () and Sambor Guze ()
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Anna Suszek: Department of Education and Student Affairs, Gdynia Maritime University, 81-225 Gdynia, Poland
Sambor Guze: Department of Mathematics, Faculty of Navigation, Gdynia Maritime University, 81-225 Gdynia, Poland

Sustainability, 2024, vol. 16, issue 24, 1-21

Abstract: The aim of this study was to establish models of attitudes and behaviours of senior consumers towards functional foods. Due to the ageing societies in modern Europe, it is crucial to identify opportunities to ensure the well-being of seniors. This is all the more important because, in every branch of the economy, this social group still plays a significant role in its operation. One method that seniors can use to promote their health is to include functional foods in their daily diets. Therefore, it is important to skilfully model this social group’s attitudes and behaviours. For this purpose, this article proposes models based on logarithmic regression. Due to its properties, on the one hand, this method is a scientist-friendly tool, and on the other hand, it allows for the accurate modelling of a real problem. The four analytical and forecasting models proposed in this article were based on survey research conducted in a distinct social group. The models characterise seniors’ food neophobia and attitudes towards functional foods according to independent descriptive variables that influence the dependent variable. Marketers should use the results obtained to prepare sales strategies for products and functional foods among seniors.

Keywords: attitudes; behaviours; consumer; senior 60+; functional food; neophobia; logistic regression; product management; modelling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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