Food additives and PAHO's nutrient profile model as contributors' elements to the identification of ultra-processed food products

被引:5
作者
Canella, Daniela Silva [1 ,2 ]
Pereira Montera, Vanessa dos Santos [3 ]
Oliveira, Natalia [3 ,4 ]
Mais, Lais Amaral [5 ]
Andrade, Giovanna Calixto [2 ]
Martins, Ana Paula Bortoletto [2 ]
机构
[1] Rio De Janeiro State Univ UERJ, Inst Nutr, Rio De Janeiro, Brazil
[2] Univ Sao Paulo, Ctr Epidemiol Res Nutr & Hlth Nupens, Sao Paulo, Brazil
[3] Rio De Janeiro State Univ UERJ, Postgrad Program Food Nutr & Hlth, Rio De Janeiro, Brazil
[4] Fed Univ Rio De Janeiro UFRJ, Nutr Epidemiol Observ, Rio De Janeiro, Brazil
[5] Brazilian Inst Consumer Def IDEC, Sao Paulo, Brazil
关键词
D O I
10.1038/s41598-023-40650-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The NOVA classification system categorizes foods according to the extent and purpose of industrial processing. Ultra-processed food products (UPF) are frequently composed of excessive amounts of sugars, salt, oils, and fats, and cosmetic additives designed to make them palatable and/or appealing. We aimed to describe the presence of critical nutrients in excess and cosmetic additives in packaged foods and beverages and to evaluate the proportion of UPF that can be correctly identified through the presence of critical nutrients in excess or the presence of cosmetic additives in food products. A total of 9851 items available in Brazilian supermarkets containing lists of ingredients and nutrition facts panels were analyzed. Cosmetic additives and critical nutrients in excess, according to Pan American Health Organization (PAHO)'s nutrient profile model, were assessed. All food items were categorized into the four NOVA classification groups. Relative frequencies of items with at least one critical nutrient in excess and one type of cosmetic additive were estimated. For UPF, 82.1% had some cosmetic additive, and 98.8% had some cosmetic additive or a nutrient in excess. This combined criterion allowed the identification of 100.0% of sweet cookies, salted biscuits, margarine, cakes and sweet pies, chocolate, dairy beverages, and ice cream. Combining the presence of cosmetic additives and the PAHO's nutrient profile model contributes to the identification of UPF.
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页数:7
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