Food labels. Consumer understanding of the information contained. A pilot study

Main Article Content

Calin Avram
Laura Avram
Victoria Rus
Ion Mihai Georgescu
Florina Ruta
Peter Olah


food label, buying decisions, food safety, knowledge, additives


Introduction. Food labels are very important when choosing healthy foods. Another important element that is found on the food label are alimentary additives that are added to the food to increase the shelf life or taste.

Aim. The aim of our study is to identify how respondents understand and are aware of the information found on food labels. It is very important to be able to choose products that meet the consumers’ needs and that do not affect their health.

Methods. In order to carry out this pilot study, cross-sectional descriptive, an online evaluation questionnaire was developed and disseminated between December 2016 and February 2017.

Results. Out of the total of 476 participants in the study, the persons with higher or higher education represent over 80% of the respondents. Women are the most representative in this study almost 80% as well as people in urban areas. We can identify the association between the age of the participants and their residence (p = 0.0038), the education of the participants (p <0.001), the people who decide upon the products purchased (p = 0.039), reading the labels before purchasing (p <0.001).

Conclusions. According to our study, the perception of information on food labels is very low. Information on the elements that allow the correct choice for buyers, both about food additives and about nutritional values could be beneficial for the health of the buyer.

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1. Mulders MDGH, Corneille O, Klein O. Label reading, numeracy and food & nutrition involvement. Appetite. 2018;128,p.214-222. Doi:10.1016/j.appet.2018.06.003
2. Moreira MJ, García‐Díez J, de Almeida JM, Saraiva C. Evaluation of food labelling usefulness for consumers. International Journal of Consumer Studies. 2019;43(4):327-334. doi:10.1111/ijcs.12511
3. Iancu IA, Nedelea A-M. Consumer confidence from Cluj-Napoca metropolitan area, in the Food Labeling System. wwwamfiteatrueconomicro. 2018;20(47):116. Doi:10.24818/ea/2018/47/116
4. Scrinis G, Parker C. Front-of-pack food labeling and the politics of nutritional nudges. Law & Policy. 2016;38(3):234-249. Doi:10.1111/lapo.12058
5. Cowburn G, Stockley L. Consumer understanding and use of Nutrition Labelling: A systematic review. Public Health Nutrition. 2005;8(1):21-28. Doi:10.1079/phn2005666
6. Temple NJ. Front-of-package food labels: A narrative review. Appetite. 2020;144:104485. Doi:10.1016/j.appet.2019.104485
7. Sanjari SS, Jahn S, Boztug Y. Dual-process theory and consumer response to front-of-package nutrition label formats. Nutrition Reviews. 2017;75(11):871-882. doi:10.1093/nutrit/nux043
8. Wilson L, Lusk JL. Consumer willingness to pay for redundant food labels. Food Policy. 2020;97:101938. doi:10.1016/j.foodpol.2020.101938
9. Charpentier CJ, Bromberg-Martin ES, Sharot T. Valuation of knowledge and ignorance in mesolimbic reward circuitry. Proceedings of the National Academy of Sciences. 2018;115(31). doi:10.1073/pnas.1800547115
10. Truong VA, Conroy DM, Lang B. The trust paradox in food labelling: An exploration of consumers’ perceptions of certified vegetables. Food Quality and Preference. 2021;93:104280. doi:10.1016/j.foodqual.2021.104280
11. Bryła P. Who reads food labels? selected predictors of consumer interest in front-of-package and back-of-package labels during and after the purchase. Nutrients. 2020;12(9):2605. doi:10.3390/nu12092605
12. Avram C, Avram L, Ruta F, Georgescu IM, Rus V. Consumer profile in terms of food label reading in Mures county, Romania– a pilot study: Consumer profile in terms of food label reading. Progr Nutr. 2021;22(4):e2020072.
13. Moravejolahkami AR, Esfandiari Z, Ebdali H, et al. Employees’ knowledge, attitude and practice of food additives; impacts of an educational intervention. Nutrition & Food Science. 2020;50(6):1199-1212. doi:10.1108/nfs-11-2019-0346
14. Avram L, Avram C, Olah P, Rus V, Georgescu IM, Bucur O Maria, Florina R. Knowledge about food additives among adults – pilot study: Knowledge about food additives among adults. Progr Nutr. 2021;23(1):e2021083.
15. Blitstein JL, Evans WD. Use of nutrition facts panels among adults who make household food purchasing decisions. Journal of Nutrition Education and Behavior. 2006;38(6):360-364. doi:10.1016/j.jneb.2006.02.009
16. Barreiro-Hurlé J, Gracia A, De-Magistris T. Market implications of new regulations: Impact of health and nutrition information on consumer choice. Spanish Journal of Agricultural Research. 2009;7(2):257. doi:10.5424/sjar/2009072-417
17. French SA, Story M, Jeffery RW. Environmental influences on eating and physical activity. Annual Review of Public Health. 2001;22(1):309-335. doi:10.1146/annurev.publhealth.22.1.309
18. Huizinga MM, Carlisle AJ, Cavanaugh KL, et al. Literacy, numeracy, and portion-size estimation skills. American Journal of Preventive Medicine. 2009;36(4):324-328. doi:10.1016/j.amepre.2008.11.012
19. Sunstein CR. Viewpoint: Are food labels good? Food Policy. 2021;99:101984. doi:10.1016/j.foodpol.2020.101984
20. Tomáš S. Examining attitudes toward food quality labels: Evidence from Czechia. Journal of Food Products Marketing. 2020;26(3):197-211. doi:10.1080/10454446.2020.1745347
21. Hajdú N, Lipták K, Saplacan Z. Comparative analysis of baby food labelling in Hungary and in Romania: Consumers’ perspective. wwwamfiteatrueconomicro. 2018;20(47):62. doi:10.24818/ea/2018/47/62
22. Besler HT, Buyuktuncer Z, Uyar MF. Consumer understanding and use of food and nutrition labeling in Turkey. Journal of Nutrition Education and Behavior. 2012;44(6):584-591. doi:10.1016/j.jneb.2012.01.005
23. Ortega DL, Wang HH, Wu L, Olynk NJ. Modeling heterogeneity in consumer preferences for select food safety attributes in China. Food Policy. 2011;36(2):318-324. doi:10.1016/j.foodpol.2010.11.030
24. Taylor AW, Coveney J, Ward PR, et al. The Australian Food and Trust Survey: Demographic Indicators Associated With Food Safety and quality concerns. Food Control. 2012;25(2):476-483. doi:10.1016/j.foodcont.2011.11.003
25. Calin A, Adrian G, Laura AE. (2012). New approach on optimal decision making based on formal automata models. Procedia Economics and Finance 2012;3,852-857. doi: 10.1016/S2212-5671(12)00240-7
26. Calin A, Laura AE, Adrian G. (2014). Formal Models for Describing Mathematical Programming Problem. Procedia Economics and Finance 2014;15,1501-1506. doi: 10.1016/S2212-5671(14)00617-0

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