ESTABLISHMENT OF FOOD COMPOSITION DATABASE FOR LOCAL PROCESSED FOODS IN THE STATE OF KUWAIT

Authors

  • B Al-Feeli Food Technology Program, Environment, and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait https://orcid.org/0000-0003-2488-4579
  • A Al-Mutairi Food Technology Program, Environment, and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait

DOI:

https://doi.org/10.17501/26827026.2023.2104

Keywords:

Food supply, Dietary patterns, non-communicable diseases, Food composition database

Abstract

In Kuwait, there has been an increase in the consumption of fast and processed foods, resulting in a rise in non-communicable diseases. To make informed policy decisions, it is crucial to establish a comprehensive local food database. The purpose of this study was to create a local food composition database The database includes nutrient values for locally processed foods from major Kuwaiti food processing lines. We collected nutrition information from 518 food products' labels of 16 food companies representing Kuwait's primary food processing lines. Following the USDA Food and Nutrient Database for Dietary Studies, we created a Microsoft Excel spreadsheet to establish a food composition database for locally processed food. The products' label information was grouped into six food groups. Each food group's products were classified into four classes based on their level of processing: Minimally processed food, processed food, Culinary processed food, and Ultra-processed food, according to the NOVA classification system. About 74.7% of the collected products were Ultra-processed food, which is high in saturated fats, sodium, and calories, and has negative impacts on global health and nutrition. This is the first study to use the NOVA in Kuwait, and the results will be recommended to policymakers for product classification in the market, visible to consumers as stickers or codes to raise awareness of highly processed food. Moreover, Results are ready to be incorporated into the ESHA food processing system in future research to be accessible to researchers in the nutrition field.  This generated database will be a valuable tool for researchers and policymakers to establish preventive actions to reduce the prevalence of NCDs in the population and increase consumers' awareness of processed food.

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References

Chen, X., Zhang, Z., Yang, H., Qiu, P., Wang, H., Wang, F., Zhao, Q., Fang, J., & Nie, J. (2020). Consumption of ultra-processed foods and health outcomes: A systematic review of epidemiological studies. In Nutrition Journal (Vol. 19, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s12937-020-00604-1

Dai, H., Alsalhe, T. A., Chalghaf, N., Riccò, M., Bragazzi, N. L., & Wu, J. (2020a). The global burden of disease attributable to high body mass index in 195 countries and territories, 1990–2017: An analysis of the Global Burden of Disease Study. In PLoS Medicine (Vol. 17, Issue 7). Public Library of Science. https://doi.org/10.1371/journal.pmed.1003198

Eicher-Miller, H. A., Fulgoni, V. L., & Keast, D. R. (2012). Contributions of processed foods to dietary intake in the us from 2003-2008: A report of the food and nutrition science solutions joint task force of the academy of nutrition and dietetics, American society for nutrition, institute of food technologists, and international food information council. Journal of Nutrition, 142(11), 2065–2072. https://doi.org/10.3945/jn.112.164442

Eicher-Miller, H. A., Fulgoni, V. L., & Keast, D. R. (2015). Processed food contributions to energy and nutrient intake differ among US children by race/ethnicity. Nutrients, 7(12), 10076–10088. https://doi.org/10.3390/nu7125503

Fardet, A. (2018). Characterization of the Degree of Food Processing in Relation With Its Health Potential and Effects (pp. 79–129). https://doi.org/10.1016/bs.afnr.2018.02.002

Gupta, S., Hawk, T., Aggarwal, A., & Drewnowski, A. (2019). Characterizing ultra-processed foods by energy density, nutrient density, and cost. Frontiers in Nutrition, 6(May), 1–9. https://doi.org/10.3389/fnut.2019.00070

Kelly, B., & Jacoby, E. (2018a). Public Health Nutrition special issue on ultra-processed foods. Public Health Nutrition, 21(1), 1–4. https://doi.org/10.1017/S1368980017002853

Louzada, M. L. da C., Martins, A. P. B., Canella, D. S., Baraldi, L. G., Levy, R. B., Claro, R. M., Moubarac, J. C., Cannon, G., & Monteiro, C. A. (2015). Ultra-processed foods and the nutritional dietary profile in Brazil. Revista de Saude Publica, 49. https://doi.org/10.1590/S0034-8910.2015049006132

Monteiro, C. A., Cannon, G., Lawrence, M., Costa Louzada, M. L., & Machado, P. P. (2019). The NOVA food classification system and its four food groups. In Ultra-processed foods, diet quality, and health using the NOVA classification system.

Monteiro, C. A., Levy, R. B., Claro, R. M., Castro, I. R. R. de, & Cannon, G. (2010). A new classification of foods based on the extent and purpose of their processing. Cadernos de Saúde Pública, 26(11), 2039–2049. https://doi.org/10.1590/S0102-311X2010001100005

Poti, J. M., Mendez, M. A., Ng, S. W., & Popkin, B. M. (2015). Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households? American Journal of Clinical Nutrition, 101(6), 1251–1262. https://doi.org/10.3945/ajcn.114.100925

Sadler, C. R., Grassby, T., Hart, K., Raats, M., Sokolović, M., & Timotijevic, L. (2021). Processed food classification: Conceptualisation and challenges. In Trends in Food Science and Technology (Vol. 112, pp. 149–162). Elsevier Ltd. https://doi.org/10.1016/j.tifs.2021.02.059

U.S. Department of Agriculture. (2020). Food Surveys Research Group Home Page. USDA Food and Nutrient Database for Dietary Studies 2017-2018. http://www.ars.usda.gov/nea/bhnrc/fsrg

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Published

2023-11-28

How to Cite

Al-Feeli, B., & Al-Mutairi, A. (2023). ESTABLISHMENT OF FOOD COMPOSITION DATABASE FOR LOCAL PROCESSED FOODS IN THE STATE OF KUWAIT. Proceedings of the International Conference on Food, Nutrition, Health and Lifestyle, 2(1), 40–48. https://doi.org/10.17501/26827026.2023.2104