Scientific journal

59 2020

Journal of Food and Nutrition Research
Summary No. 2 / 2020

Kiss, A. – Oláh, J. – Popp, J. – Lakner, Z.
Towards understanding dietary supplement use among recreational athletes on the basis of a complex, multifactorial model
Journal of Food and Nutrition Research, 59, 2020, No. 2, s. 127-136

Judit Oláh, Institute of Applied Informatics and Logistics, Faculty of Economics and Business, University of Debrecen, Böszörményi str. 138, Debrecen 4032, Hungary; TRADE Research Entity, Faculty of Economic and Management Sciences, North-West University, Vanderbijlpark 1900, Potchefstroom 2351, South Africa. E-mail: olah.judit@econ.unideb.hu

Received 3 March 2020; 1st revised 24 April 2020; accepted 18 May 2020; published online 4 June 2020.

Summary: The possibilities for development in the food market are rather limited because the market is becoming saturated. At the same time, the changing values and lifestyle of consumers open new frontiers for development. A striking example of this is the case of dietary supplements (DS), functional foods. There is a mushrooming number of publications analysing the different causes and consequences of the increased use of DS, but we do not have an integral picture of the socio-economic forces behind this innovation success. The methodology of analysis used offers the possibility of a wide-range adaptation and application of a model. Based on a conceptual model of the system of factors that influences DS consumption, a closed-ended, anonymous survey was carried out with participation of 617 respondents (men 32 %, average age 26 years), in Hungary, as a result of which we have determined that 61 % of recreational athletes use at least one type of DS. There were no significant differences in terms of the socio-economic characteristic features of respondents. The role of factors influencing DS consumption was analysed through a structural equation model. Athletes engaging actively in recreational sports consider DS consumption per se as a precondition of an improvement in performance.

Keywords: closed-ended surveys; recreational athlete; planned behaviour model; structural equation modelling

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