scholarly journals Sensory-Related Industrial Additives in the US Packaged Food Supply

2022 ◽  
Vol 8 ◽  
Author(s):  
Marilyn Tseng ◽  
Camille J. Grigsby ◽  
Abigail Austin ◽  
Samir Amin ◽  
Aydin Nazmi

Background: Increasing evidence suggests that ultra-processed foods (UPFs) lead to elevated risk of obesity-related conditions, but UPF measurement has been criticized for its subjectivity and lack of clarity on biological mechanism. Sensory-related industrial additives (SRIAs) are a defining feature of UPFs and may encourage overconsumption by enhancing the sensory quality of foods. However, practical challenges have prevented systematic incorporation of SRIAs into UPF measurement.Objective: The objectives of this work were to describe a new, open-source ingredient list search method and to apply this method to describe the presence of SRIAs in US packaged foods.Methods: We developed computer coding to search for 64 common SRIAs related to sweetness, flavor, appearance, and texture in 241,688 foods in the US Branded Food Products Database (BFPD). The BFPD includes manufacturer-provided ingredient lists for ~300,000 branded and private label food items. We determined the total number of SRIAs (0–64) and the number of different types of SRIAs (sweetness, flavor, appearance, texture, 0–4) in each food, then calculated the percent of all foods with SRIAs. This was done for all foods, and by food group for 224,098 items with food group data.Results: Most (64.9%) foods in the BFPD contained at least one SRIA, and more than a third had at least three. Sweets (89.5%), beverages (84.9%), and ready-to-eat (RTE) foods (82.0%) were the most likely to contain SRIAs. With respect to SRIA types, 25.7% of all food items had at least three of the four types of SRIAs examined, with texture-related additives being the most common. Among sweets, 20% had all four types of SRIAs.Discussion: This work confirms the high prevalence of SRIAs in US packaged foods. They are ubiquitous in sweets, beverages, and RTE foods, but also present in substantial proportions of other food groups. Quantifying the presence of SRIAs in ingredient lists offers a novel way to identify UPFs for research; to distinguish more vs. less ultra-processed foods; and to test whether UPFs increase risk for obesity-related conditions through additives that enhance the product's sensory qualities.

2017 ◽  
Vol 21 (03) ◽  
pp. 447-453 ◽  
Author(s):  
Luiza dos Santos Figueiredo ◽  
Tailane Scapin ◽  
Ana Carolina Fernandes ◽  
Rossana Pacheco da Costa Proença

AbstractObjectiveStudies have shown that consumption of low-calorie sweeteners (LCS) may be associated with harmful health effects. The current study investigated the presence and types of LCS added to packaged foods.DesignCross-sectional study analysing the presence and types of LCS in the ingredients lists of packaged foods sold at a major Brazilian supermarket. To identify types of LCS allowed for use in foods in Brazil, current legislation was consulted. Data were organised and analysed through descriptive statistics, presenting simple and relative frequencies of LCS presence categorised by food group.SettingSupermarket in Florianópolis, southern Brazil.SubjectsPackaged food products (n4539) from eight food groups.ResultsOne or more LCS were found in 602 (13·3 %) of the packaged foods analysed. There were 1329 citations of LCS among these foods, with a mean of 2·2 sweeteners per food. Groups with the highest frequency of foods containing LCS were: products with energy derived from carbohydrates and fats (25·0 %); milk and dairy products (11·7 %); bakery products, cereals, legumes, roots and tubers (11·2 %); and fruits, juices, nectars and fruit drinks (8·3 %).ConclusionsThere was high prevalence of packaged foods with LCS, especially in food groups that form the basis of the Brazilian diet. The study was the first to extensively analyse the presence and types of LCS in packaged foods available for sale in a Brazilian supermarket and can be useful to monitor the use of LCS in these foods, as well as to support future changes in legislation to label sugars.


Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3009
Author(s):  
Leng Huat Foo ◽  
Ying Jing Tan

Schools are an important food environment to cultivate and promote healthy food choices and practices among children and adolescents. The aim of the present study was to assess the type and quality of food and beverages sold in school canteens in public primary and secondary schools in Kelantan, Malaysia. Eligible schools were randomly selected from the list of all schools and detailed information of all food and beverage items sold in the school canteens were collected during school days. Food and beverages were classified based on food groups derived from the Malaysian Food Dietary Guideline and the Recommended Foods for Healthy Cafeteria Guideline. An assessment of the traffic-light nutrition food-labelling system of the total sugar content in all pre-packaged foods was also undertaken. A total of 568 food items were identified, with secondary school canteens selling a greater proportion of food items than the primary schools (55.5% vs. 44.5%). In terms of the main food groups, grains and cereal products represented the largest food group served (33–36%), followed by beverages (21–25%) and confectionary and sweet foods (12–13%). In contrast, the vegetable and fruit group represented the smallest proportion of food items sold (1–3%). Comparisons between primary and secondary schools showed a similar trend and pattern of food types and quality of foods sold, except for animal-based foods. A greater percentage of food items in this category was found among secondary schools (12.1%) versus primary schools (6.7%). When total sugar content of all pre-packaged foods was quantified based on the traffic-light nutrition-labelling system, almost one-third of foods and beverages were classified as high (29.1%). Confectionary (19.1%) and flavoured milk and fruit drinks (10.0%) both exceeded the recommended sugar levels of >22.5 g per 100 g and >11.25 mL per 100 m L, respectively. Only one of these packaged foods and beverages (0.9%) was classified as a healthy food choice. About a quarter of the food items available in school canteens were classified as prohibited based on a new revised list of prohibited food and beverage items. These findings indicate that, despite the Guidelines, a large number of unhealthy food items are being sold in school canteens. Hence, interventions such as sustainable healthy school canteen menus should be implemented to promote healthy food choices amongst school-aged children.


1985 ◽  
Vol 68 (5) ◽  
pp. 862-875 ◽  
Author(s):  
Marcia J Gartrell ◽  
John C Craun ◽  
David S Podrebarac ◽  
Ellis L Gunderson

Abstract The U.S. Food and Drug Administration (FDA) conducts Total Diet Studies to determine the dietary intake of selected pesticides, industrial chemicals, and elements (including radionuclides). These studies involve the retail purchase and analysis of foods representative of the diets of infants, toddlers, and adults. The individual food items are separated into a number of food groups, each of which is analyzed as a composite. This report summarizes the results for adult Total Diet samples collected in 20 cities between October 1978 and September 1979. The average concentration, range of concentrations, and calculated average daily intake of each chemical found are presented by food group. The average daily intakes of the chemicals are similar to those found in the several preceding years and are within acceptable limits. The results for samples collected during the same period that represent the diets of infants and toddlers are reported separately.


Author(s):  
Yeganeh Khazaei ◽  
Carla P. Harris ◽  
Joachim Heinrich ◽  
Marie Standl ◽  
Jan Kühnisch

Molar-incisor hypomineralization (MIH) is a condition with specific clinical presentation whose etiology to date still remains unknown. This study prospectively investigated the association between nutrition during the 1st year of life and the presence of MIH in the permanent dentition. Data from 1070 10-year-old children from two prospective birth cohort studies were included. Information on exclusive breastfeeding (EBF) and introduction of 48 food items into the child’s diet was assessed at 4-, 6-, and 12-month time-points. Food diversity was defined according to the number of food items or food groups introduced into the child’s diet and then subsequent categorization into low-, middle- and high-diversity groups was performed. MIH was scored in the permanent dentition at age of 10 years. The statistical analysis included logistic and Poisson hurdle regression models adjusted for potential confounders. EBF, food item and food group diversity at 4-, 6-, 12-month time-points were found to be non-significant in most of the categories for the development of MIH. However, significantly higher odds for the presence of MIH were found for certain categories. Despite the limitation of this study, such as arbitrary cut-offs for categorization of food items, the results of this study suggest the lack of an association between early nutrition in the first year of life and MIH in the permanent dentition.


2004 ◽  
Vol 7 (6) ◽  
pp. 745-749 ◽  
Author(s):  
Iris Shai ◽  
Danit R Shahar ◽  
Hillel Vardi ◽  
Drora Fraser

AbstractObjectives:To highlight the differences between the food list required in a food-frequency questionnaire (FFQ) to rank people by their intake and the food items that contribute to absolute intake, and to discuss possible applications.Methods:We conducted a nutritional survey among 1173 adults using an adapted 24-hour recall questionnaire.Statistical analysis:To develop an FFQ, we analysed the 24-hour recall survey data by performing a stepwise multiple regression after grouping conceptually similar food items into 175 food groups.Results:In total, 126 food groups were included in the developed FFQ in order to explain at least 80% of the variance in the consumption of each of 27 nutrients. The nutrients that were explained by a few food groups were vitamin A (one food group), alcohol (two), β-carotene (two), vitamin E (three) and cholesterol (five). Nutrients that were explained by a large number of food groups were energy (37 food groups), potassium (31), magnesium (31), dietary fibre (30), phosphorus (31) and sodium (29). Using energy intake as an example, soft drinks were the best between-person energy classifiers, while providing only 2.4% of the total energy intake. Wine, seeds and nuts, which contributed highly to the variance, were minor energy contributors. In contrast, milk, sugar, fried chicken/turkey breast or whole chicken/turkey, which explained little of the variation in the population, were major energy contributors.Conclusions:Developing an FFQ on the basis of common foods may not explain the between-person variation required for ranking individual intake in diet–disease studies. Producing lists of ‘discriminating items’ can be a useful application in developing mini-FFQs for selected nutrients.


2017 ◽  
Vol 20 (16) ◽  
pp. 2839-2846 ◽  
Author(s):  
Claire Johnson ◽  
Sudhir Raj Thout ◽  
Sailesh Mohan ◽  
Elizabeth Dunford ◽  
Clare Farrand ◽  
...  

AbstractObjectiveTo estimate the proportion of products meeting Indian government labelling regulations and to examine the Na levels in packaged foods sold in India.DesignNutritional composition data were collected from the labels of all packaged food products sold at Indian supermarkets in between 2012 and 2014. Proportions of products compliant with the Food Safety Standards Authority of India (FSSAI) regulations and labelled with Na content, and mean Na levels were calculated. Comparisons were made against 2010 data from Hyderabad and against the UK Department of Health (DoH) 2017 Na targets.SettingEleven large chain retail stores in Delhi and Hyderabad, India.SubjectsPackaged food products (n 5686) categorised into fourteen food groups, thirty-three food categories and ninety sub-categories.ResultsMore packaged food products (43 v. 34 %; P<0·001) were compliant with FSSAI regulations but less (32 v. 38 %; P<0·001) reported Na values compared with 2010. Food groups with the highest Na content were sauces and spreads (2217 mg/100 g) and convenience foods (1344 mg/100 g). Mean Na content in 2014 was higher in four food groups compared with 2010 and lower in none (P<0·05). Only 27 % of foods in sub-categories for which there are UK DoH benchmarks had Na levels below the targets.ConclusionsCompliance with nutrient labelling in India is improving but remains low. Many packaged food products have high levels of Na and there is no evidence that Indian packaged foods are becoming less salty.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 370-370
Author(s):  
Steven Stanley ◽  
Anthony Basile ◽  
Anaissa Ruiz Tejada ◽  
Ellinor Hjelm ◽  
Karen Sweazea

Abstract Objectives Ultra-processed foods (UPF) make up the majority of energy intake in the United States. Consumption of these foods is correlated with poor health outcomes related to chronic inflammation. The objective of this study is to examine the relationship between food processing and total antioxidant capacity (TAC). It was hypothesized that TAC will be highest in Minimally Processed (MIN), lower in Processed (PRO), and lowest in Ultra-processed foods (UPF). Methods TAC (mmol/100g) data were obtained for 3,139 foods from a published data set. Food items were coded to agreement by the research team into three groups of the NOVA classification (MIN, PRO, UPF) as well as MyPyramid food groups (with alcohol and beverage groups added). A Kruskal-Wallis and Mann-Whitney U Test were used to determine significance across and between groups, respectively, with an alpha of 0.05. Results The mean TAC of all three NOVA groups for all food items were significantly different (MIN: 11.66 ± 46.29; PRO: 0.85 ± 1.79; UPF: 0.80 ± 1.93; P &lt; 0.001). While all MyPyramid groups had significant differences in mean TAC between food processing groups (P &lt; 0.05 for all), Fruits, Alcohol, and Bean, Nuts, and Seeds supported the hypothesis. Whereas, mixed results were found for all other MyPyramid groups and did not support the hypothesis (i.e., mean TAC was not always lower in higher processed foods). Conclusions Generally, foods that were more processed were lower in TAC. However, this trend does not hold for all MyPyramid food groups which could be attributed to the varying food processing techniques (e.g., fortification and additives). The lower total antioxidant capacity, on average, of UPFs could be a mechanism through which consumption of these foods promotes inflammatory chronic disease. Funding Sources None.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245225
Author(s):  
Sally Mackay ◽  
Helen Eyles ◽  
Teresa Gontijo de Castro ◽  
Leanne Young ◽  
Cliona Ni Mhurchu ◽  
...  

Improvement of national food supplies are an opportunity to improve a country’s health. Our aim was to identify the major food companies manufacturing packaged foods and non-alcoholic beverages available in New Zealand supermarkets in 2018; to assess the healthiness of products using (1) the Health Star Rating (HSR) system, (2) Australian Dietary Guidelines classification (core/discretionary), and (3) by level of processing; to compare the healthiness of products displaying and not displaying the HSR and; to assess potential for food reformulation within selected food sub-categories. Information on packaged foods was obtained from the Nutritrack supermarket database. Companies that manufactured each food and brand were identified using company websites and the New Zealand companies register. In total, 13,506 packaged products were mapped to 1,767 brands and 1,214 companies. Based on market share of products available for sale (Euromonitor data), there were 22 dominating companies producing 31% of products and 17% of brands. Fifty-nine percent of products were classified as unhealthy (HSR <3.5/5 stars), 53% as discretionary, and 69% as ultra-processed. Products displaying the HSR on the package had a higher mean HSR ±SD than if the HSR was not displayed (3.2±1.3 versus 2.5±1.4, p = 0.000). Efforts to improve the healthiness of products should be directed to the 22 food companies dominating this market share, particularly in the core foods groups which are currently less likely to meet Heart Foundation reformulation targets (bread, breakfast cereals, cheese, canned baked beans, yoghurt). The New Zealand supermarket packaged food supply included in the Nutritrack database is dominated by a small number of companies and is mostly unhealthy. Government leadership is required to improve the healthiness of the packaged food supply and provide adequate information to consumers. This includes interventions setting reformulation targets for core food groups, setting population nutrient intake targets and mandating that the HSR is displayed on all products.


Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3440
Author(s):  
Dilyana Kraleva ◽  
Sharon Evans ◽  
Alex Pinto ◽  
Anne Daly ◽  
Catherine Ashmore ◽  
...  

A phenylalanine (protein)-restricted diet is the primary treatment for phenylketonuria (PKU). Patients are dependent on food protein labelling to successfully manage their condition. We evaluated the accuracy of protein labelling on packaged manufactured foods from supermarket websites for foods that may be eaten as part of a phenylalanine-restricted diet. Protein labelling information was evaluated for 462 food items (“free from”, n = 159, regular, n = 303), divided into 16 food groups using supermarket website data. Data collection included protein content per portion/100 g when food was “as sold”, “cooked” or “prepared”; cooking methods, and preparation instructions. Labelling errors affecting protein content were observed in every food group, with overall protein labelling unclear in 55% (n = 255/462) of foods. There was misleading, omitted, or erroneous (MOE) information in 43% (n = 68/159) of “free from” foods compared with 62% (n = 187/303) of regular foods, with fewer inaccuracies in “free from” food labelling (p = 0.007). Protein analysis was available for uncooked weight only but not cooked weight for 58% (n = 85/146) of foods; 4% (n = 17/462) had misleading protein content. There was a high rate of incomplete, misleading, or inaccurate data affecting the interpretation of the protein content of food items on supermarket websites. This could adversely affect metabolic control of patients with PKU and warrants serious consideration.


2019 ◽  
Vol 22 (5) ◽  
pp. 936-941 ◽  
Author(s):  
Carlos A Monteiro ◽  
Geoffrey Cannon ◽  
Renata B Levy ◽  
Jean-Claude Moubarac ◽  
Maria LC Louzada ◽  
...  

AbstractThe present commentary contains a clear and simple guide designed to identify ultra-processed foods. It responds to the growing interest in ultra-processed foods among policy makers, academic researchers, health professionals, journalists and consumers concerned to devise policies, investigate dietary patterns, advise people, prepare media coverage, and when buying food and checking labels in shops or at home. Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing. Processes enabling the manufacture of ultra-processed foods include the fractioning of whole foods into substances, chemical modifications of these substances, assembly of unmodified and modified food substances, frequent use of cosmetic additives and sophisticated packaging. Processes and ingredients used to manufacture ultra-processed foods are designed to create highly profitable (low-cost ingredients, long shelf-life, emphatic branding), convenient (ready-to-consume), hyper-palatable products liable to displace all other NOVA food groups, notably unprocessed or minimally processed foods. A practical way to identify an ultra-processed product is to check to see if its list of ingredients contains at least one item characteristic of the NOVA ultra-processed food group, which is to say, either food substances never or rarely used in kitchens (such as high-fructose corn syrup, hydrogenated or interesterified oils, and hydrolysed proteins), or classes of additives designed to make the final product palatable or more appealing (such as flavours, flavour enhancers, colours, emulsifiers, emulsifying salts, sweeteners, thickeners, and anti-foaming, bulking, carbonating, foaming, gelling and glazing agents).


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