MODELLING FRUIT AND VEGETABLE CONSUMPTION IN SERBIA
Abstract
Although regular intake of fruits and vegetables has an essential role in a healthy diet and well-being, a majority of consumers in Serbia have a suboptimal intake of these groceries. To understand the main determinants of this unsatisfactory situation, the study tested an extended model of the theory of planned behavior intending to suggest necessary steps for improving fruits and vegetables daily intake. This theory, extended for the role of knowledge, was tested using structural equation modeling. Fit indices confirmed the utility of this extended model of the theory of planned behavior in explaining consumers’ behavior as well as the mediating role of behavioral intentions. Serbia, as one of the central developing countries in the Balkans, was chosen to test the model with the possibility of applying it to other developing countries facing malnutrition. Data were collected in north Serbia, through an online survey (n=688). Despite consumers’ high awareness of fruits and vegetables' beneficial health effects, the influence of consumers’ knowledge only is not sufficient to trigger behavioral changes. Consumers’ intentions and behavior should be influenced indirectly, by changing their attitudes and subjective norms. All custom-made activities promoting a higher fruit and vegetable intake should consider the present findings to achieve a bigger effect on behavioral changes among consumers.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2006). Constructing a theory of planned behaviour questionnaire. Retrieved December, 2020 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.601.956&rep=rep1&type=pdf
Ajzen, I., Joyce, N., Sheikh, S., & Cote, N. G. (2011). Knowledge and the prediction of behaviour: The role of information accuracy in the theory of planned behaviour. Basic and Applied Social Psychology, 33, 101-117. https://doi.org/10.1080/01973533.2011.568834
Belch, M. A., & Willis, L. A. (2002). Family decision at the turn of the century: Has the changing structure of households impacted the family decision‐making process? Journal of Consumer Behaviour, 2, 111-124. https://doi.org/10.1002/cb.94
Blanchard, C. M., Kupperman, J., Sparling, P. B., Nehl, E., Rhodes, R. E., Courneya, K. S., & Baker, F. (2009). Do ethnicity and gender matter when using the theory of planned behavior to understand fruit and vegetable consumption? Appetite, 52(1), 15-20. https://doi.org/10.1016/j.appet.2008.07.001
Blanck, H. M., Gillespie, C., Kimmons, J. E., Seymour, J. D., & Serdula, M. K. (2008). Trends in fruit and vegetable consumption among US men and women, 1994-2005. Preventing Chronic Disease, 5. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396974/
Boca, G. D. (2021). Factors influencing consumer behavior in sustainable fruit and vegetable consumption in Maramures county, Romania. Sustainability, 13(4), 1812. https://doi.org/10.3390/su13041812
Carfora, V., Caso, D., & Conner, M. (2016). The role of self-identity in predicting fruit and vegetable intake. Appetite, 106, 23-29. https://doi.org/10.1016/j.appet.2015.12.020
Coakes, S. J. (2007). Analysis without anguish: Version 12.0 for Windows. Brisbane, Australia: John Wiley & Sons, Inc.
Emanuel, A. S., McCully, S. N., Gallagher, K. M., & Updegraff, J. A. (2012). Theory of planned behavior explains gender difference in fruit and vegetable consumption. Appetite, 59(3), 693-697. https://doi.org/10.1016/j.appet.2012.08.007
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3). https://doi.org/10.1177/002224378101800313
Free Statistics Calculator. (n.d.). A-priori Sample Size Calculator for Structural Equation Models. Retrieved October, 2017 from www.danielsoper.com/statcalc/calculator.aspx?id=89
Giskes, K., Turrell, G., Patterson, C., & Newman, B. (2002). Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutrition, 5, 663-669. https://doi:10.1079/PHN2002339
Gliem, J. A., & Gliem, R. R. (2003): Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. Retrieved December, 2020 from http://hdl.handle.net/1805/344
Gurău, C., & Ranchhod, A. (2005) International green marketing: A comparative study of British and Romanian firms. International Marketing Review, 22, 547 -561. https://doi.org/10.1108/02651330510624381
Hooper, D., Coughlan, J., & Mullen, M. (2008). Evaluating model fit: a synthesis of the structural equation modelling literature. In 7th European Conference on research methodology for business and management studies, 195-200.
Institute of Public Health of Serbia. (2018). Health statistical yearbook of Republic of Serbia 2017. Belgrade: Institute of Public Health of Serbia “Dr Milan Jovanović Batut”.
Keller, J., Motter, S., Motter, M., & Schwarzer, R. (2018). Augmenting fruit and vegetable consumption by an online intervention: Psychological mechanisms. Appetite, 120, 348-355. https://doi.org/10.1016/j.appet.2017.09.019
Kihlberg, I., & Risvik, E. (2007). Consumers of organic foods–value segments and liking of bread. Food Quality and Preference, 18, 471-481. https://doi.org/10.1016/j.foodqual.2006.03.023
Kothe, E. J., Mullan, B. A., & Butow, P. (2012). Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour. Appetite, 58(3), 997-1004. https://doi.org/10.1016/j.appet.2012.02.012
Kothe, E. J., & Mullan, B. A. (2014). A randomised controlled trial of a theory of planned behaviour to increase fruit and vegetable consumption. Fresh Facts. Appetite, 78, 68-75. https://doi.org/10.1016/j.appet.2014.03.006
Kumar, B. (2012). Theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. Retrieved December, 2020 from http://hdl.handle.net/11718/11429
Kushida, O., Iriyama, Y., Saito, T., & Yoshita, K. (2017). Associations of self-efficacy, social support, and knowledge with fruit and vegetable consumption in Japanese workers. Asia Pacific Journal of Clinical Nutrition, 26(4), 725. https://search.informit.org/doi/10.3316/informit.870307265287941
Laska, M. N., Hearst, M. O., Forsyth, A., Pasch, K. E., & Lytle, L. (2010). Neighbourhood food environments: are they associated with adolescent dietary intake, food purchases and weight status? Public Health Nutrition, 13, 1757-1763. https://doi:10.1017/S1368980010001564
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology. Retrieved December, 2020 from https://psycnet.apa.org/record/1933-01885-001
Menozzi, D., Sogari, G., & Mora, C. (2015). Explaining vegetable consumption among young adults: An application of the theory of planned behaviour. Nutrients, 7, 7633-7650. https://doi.org/10.3390/nu7095357
Menozzi, D., Sogari, G., & Mora, C. (2017). Understanding and modelling vegetables consumption among young adults. LWT-Food Science and Technology, 85, 327-333. https://doi.org/10.1016/j.lwt.2017.02.002
Min, A., Holzmann, H., & Czado, C. (2010). Model selection strategies for identifying most relevant covariates in homoscedastic linear models. Computational Statistics & Data Analysis, 54, 3194-3211. https://doi.org/10.1016/j.csda.2009.09.006
Nguyen, B., Bauman, A., Gale, J., Banks, E., Kritharides, L., & Ding, D. (2016). Fruit and vegetable consumption and all-cause mortality: evidence from a large Australian cohort study. International Journal of Behavioral Nutrition and Physical Activity, 13(9). https://doi.org/10.1186/s12966-016-0334-5
O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41, 673-690. https://doi.org/10.1007/s11135-006-9018-6
OECD. (2019). Health at a Glance 2019: OECD Indicators. Paris, France: OECD Publishing.
Slavin, J. L., & Lloyd, B. (2012). Health benefits of fruits and vegetables. Advances in Nutrition, 3, 506-516. https://doi.org/10.3945/an.112.002154
Smith, S., & Paladino, A. (2010). Eating clean and green? Investigating consumer motivations towards the purchase of organic food. Australasian Marketing Journal, 18, 93-104. https://doi.org/10.1016/j.ausmj.2010.01.001
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312. https://doi.org/10.2307/270723
Trochim, W. (2006). Convergent and discriminant validity. Retrieved December 2020 from http://www.socialresearchmethods.net/kb/convdisc.php
Ubiparip-Samek, D. N., Bajić, A. R., Pezo, L. L., Kovač, R. M., Mastilović, J. S., Zoranović, T. S., & Vlahović, B. I. (2021). Exploring consumer preferences and factors associated with vegetable consumption. Food and Feed Research, 48(1), 57-68. https://doi.org/10.5937/ffr48-32587
www.watoowatoo.net/sem/sem.html. Retrieved October 2017.