UK Nutrient Profile Model Research Articles

Evaluating the prevalence of high fat sugar salt (HFSS) products and labelling characteristics of foods sold in-store Restricted Areas: A survey in three UK supermarkets following the 2022 implementation of The Food (Promotion and Placement) Regulations

Regulations restricting promotion of some High Fat, Sugar, Salt (HFSS) products within “restricted areas” (RAs) (e.g. end of aisles) of eligible supermarket stores came into force in October 2022 in England.To evaluate the prevalence of HFSS products, Front-of-Pack Nutrition Labelling (FOPNL) characteristics and categories of foods sold within RAs in a sample of supermarket stores, with respect to the Food (Promotion and Placement) Regulations 2021.A cross-sectional survey of products in RAs in three supermarkets.Following the manual identification of each supermarket’s RAs, from November 2022-January 2023, these were photographed and the display of products and their Front-of-Pack Nutrition Labelling (FOPNL) recorded. Products were identified using corresponding online supermarket webpages, from which data collected included product name, nutrition, and ingredients. This information was used to allocate each product to a category (e.g. ready meals) that was either in or out of scope of the Regulations. Evaluation of each product’s healthfulness was performed using the UK Nutrient Profiling Model (to determine HFSS status) and UK Multiple Traffic Light criteria to calculate number of inherent (i.e. possessed regardless of their display) Red Traffic Lights (iRTL). Prevalence of HFSS, FOPNL and iRTL were calculated as a proportion (%) of total products displayed in the included RAs. Associations between the prevalence of these characteristics were performed using chi-squared tests.Across the three stores, 86 RAs were identified, with data collected from 32 RAs displaying 679 food products, most of which fell into product categories considered out-of-scope of the Regulations (64%, n = 435). Across included RAs, the prevalence of HFSS products within all in and out-of-scope categories, was 42 % (n = 282). Half of all products (53%, n = 357) displayed FOPNL, and 16% possessed 1, 2 or 3 iRTL, including both HFSS and non-HFSS items. Across those product categories in-scope of the Regulations (n = 245), prevalence of HFSS was 17% (n = 42). These HFSS products were less likely to display FOPNL compared to non-HFSS products (2 = 25.01, p < 0.001).Following the implementation of The Food (Promotion and Placement) Regulations, intended to create healthier food retail environments, products sold across Restricted Areas of three eligible supermarkets included those in categories in and out of scope of Regulations with varied prevalence of less-healthy (HFSS) products, display of FOPNL, and possession of iRTL across both. This study is a first researcher-led evaluation of the recently regulated consumer-facing instore environment, with implications for future policy impact evaluation.

Food and non-alcoholic beverage marketing via Fortnite streamers on Twitch: A content analysis

Food and non-alcoholic beverage (hereafter: food) marketing is prevalent in digital media and predominantly for foods high in fats, salt and/or sugar (HFSS). However, little is known about food marketing in videogame livestreaming platforms - a hybridisation of social and gaming media where individuals can watch influencers (i.e., streamers) play videogames. No studies have explored food cues within the streamed content or content likely to be viewed by adolescents. The current study analysed the food cues in Twitch (the leading videogame livestreaming platform) videos (n = 52, 52h) uploaded to the platform during October 2020–September 2021 by influencers likely to be popular with adolescents. Food cues (n = 133, 2.56 per hour) were coded for exposure (e.g., display type, healthfulness) and power (e.g., presentation) using a World Health Organization (WHO) protocol and the UK Nutrient Profile Model. The majority (70.7%) of cues were HFSS, with energy drinks being the most featured food category (62.4%). Most cues were branded (80.5%) and featured as either product placement (44.4%) or a looping image (40.6%). Influencers were more likely to consume healthy (88.5%) than HFSS items (33.4%). The mean duration of each food cue was 20 min and 25 s per hour. Only 2.3% of cues had an advertising disclosure. This study provides the first empirical assessment of food cues on Twitch in livestreamed content likely to be popular with adolescents and has implications for digital food marketing policy development.

Nutritional quality of prepackaged foods carrying health or nutritional claims in KSA

ObjectivesTo evaluate the nutritional quality of products carrying health or nutritional claims to protect consumers from being misled and to ensure that they are provided with accurate information about food products that are associated with health or nutritional claims. MethodsThis was a cross-sectional survey of 1153 foods that were randomly sampled from 14 stores in Riyadh, KSA. The data were collected from nutritional facts presented on food labels and evaluated by comparing the mean level of nutrients between products that featured claims and those that did not use the UK nutrient profile model (UKNPM). ResultsOverall, 29% of products carried either health or nutritional claims. Only 19.2% of foods that carried health claims met Saudi Food and Drug Authority (SFDA) requirements, while 28.9% of all products that carried nutritional claims met SFDA criteria; however, the analysis indicated that products that carried health or nutritional claims were significantly lower in sugar (9.67 g/100 g), fat (9.2 g/100 g), saturated fat (3.2 g/100 g), and sodium (371.36 mg/100 g). According to the UKNPM, 46.9% of the products carrying claims were less healthy than those not carrying claims, and statistically significant differences were observed by product origin and category (p < 0.005 and p < 0.000, respectively). ConclusionThe current representation of unregulated claims on food products may mislead the consumer. There is an urgent need for government legislation that limits their use except under certain conditions for the optimal protection of the population's health.

An analysis of food and beverage advertising on bus shelters in a deprived area of Northern England.

To quantify the extent of food and beverage advertising on bus shelters in a deprived area of the UK, to identify the healthfulness of advertised products, and any differences by level of deprivation. The study also sought to assess the creative strategies used and extent of appeal to young people. Images of bus shelter advertisements were collected via in person photography (in 2019) and Google Street View (photos recorded in 2018). Food and beverage advertisements were grouped into one of seventeen food categories and classified as healthy/less healthy using the UK Nutrient Profile Model. The deprivation level of the advertisement location was identified using the UK Index of Multiple Deprivation. Middlesbrough and Redcar and Cleveland in South Teesside. N/A. Eight hundred and thirty-two advertisements were identified, almost half (48·9 %) of which were for foods or beverages. Of food and non-alcoholic beverage adverts, 35·1 % were less healthy. Most food advertisements (98·9 %) used at least one of the persuasive creative strategies. Food advertisements were found to be of appeal to children under 18 years of age (71·9 %). No differences in healthiness of advertised foods were found by level of deprivation. Food advertising is extensive on bus shelters in parts of the UK, and a substantial proportion of this advertising is classified as less healthy and would not be permitted to be advertised around television programming for children. Bus shelter advertising should be considered part of the UK policy deliberations around restricting less healthy food marketing exposure.

On-campus food environment, purchase behaviours, preferences and opinions in a Norwegian university community.

To assess the food environment at OsloMet, through the nutritional profile and processing level of available commercial foods and drinks, as well as to determine food-purchasing behaviours, preferences and opinions on the food environment, in order to identify whether interventions on campus need to be conducted. Cross-sectional descriptive study. Pilestredet and Kjeller campus of OsloMet (Norway). To analyse the nutritional profile of products offered at all food outlets (seven canteens, three coffee shops and two vending machines) at the main campuses three criteria were applied: those proposed by the Spanish Agency for Food Safety and Nutrition, the UK nutrient profiling model and those of the Food and Drink Industry Professional Practices Committee Norway. In addition, products were classified by processing level, using the NOVA system. Food purchasing, food choice behaviours and opinions were analysed through a survey online, in which 129 subjects participated. With regard to the first of the objectives, the combination of the above-mentioned criteria showed that 39·8 % of the products were 'unhealthy' and 85·9 % were 'ultra-processed'. Regarding the second objective, the most important determinants of food choice were taste, convenience, and cost and nutrition/health value. The most common improvements suggested were lowering the cost, improving the allergen information on labelling and increasing the variety of fresh and healthy foods. A high proportion of the products offered were considered 'unhealthy' and highly processed. Interventions that improve food prices, availability and information on labelling would be well-received in this community.

Restricting promotions of ‘less healthy’ foods and beverages by price and location: A big data application of UK Nutrient Profiling Models to a retail product dataset

AbstractThe UK government plans to limit price‐based and location‐based promotions for products high in saturated fat, salt and sugars. The 2004/2005 UK Nutrient Profiling Model (NPM) is the proposed legislative basis, but may be superseded by the draft 2018 NPM. This study develops an algorithm to apply both NPMs to a large food composition database (FCDB), and assesses implementation challenges. UK NPMs were applied algorithmically to the myfood24 FCDB, representing ~45 000 retail products. Pass rates – indicating free or restricted promotions – and micronutrient compositions were compared. Challenges were assessed, and recommendations addressed the legislation’s public consultation questions. For products in scope (75% of total), 6% fewer passed the 2018 NPM (36%, P &lt; 0.001) compared with the 2004/2005 NPM (42%). Beverages showed the greatest reduction in pass rate (75%). Under both models, micronutrient contents (per 100 g of product) were generally lower for products that passed; except folate, vitamin C and vitamin D were no different for passed and failed products. Compared with products passing the 2004/2005 NPM, products passing the 2018 NPM on average had marginally higher amounts of iron (0.05 mg, 95% CI: 0.02, 0.08, P &lt; 0.001) and magnesium (1.00 mg, 95% CI: 0.00, 1.17, P = 0.029), but marginally lower levels of calcium (−0.42 mg, 95% CI: −2.00, −0.40, P = 0.025). Missing ingredient information and heterogeneous product categories were challenges for both NPMs. Free sugars calculation further complicated 2018 NPM application. To balance feasibility and public health benefit, the proposed legislative basis may not be appropriate.

Nutrition Profile of Products with Cartoon Animations on the Packaging: A UK Cross-Sectional Survey of Foods and Drinks.

Background: Marketing, including the use of cartoon animations on packaging, has been shown to influence the food children choose to eat. This paper aims to determine the nutritional quality of UK food and drink products featuring child-friendly characters on pack. Methods: A comprehensive cross-sectional survey of food and drink with packaging appealing to children available in the UK. Products were classified high in fat, salt and/or sugar (HFSS) according to the UK nutrient profiling model and guidance for front of pack nutrition labelling. Logistic regression was used to determine whether there was a significant relationship between nutritional quality of products, and animation type. Results: Over half (51%) of 532 products with animations on packaging were classified as HFSS. Food products featuring unlicensed characters were significantly more likely to be deemed HFSS than those with licensed characters, according to both the nutrient profiling model (odds ratio (OR) 2.1, 95% CI: 1.3 to 3.4) and front of pack nutrition labelling system (OR 2.3, 95% confidence interval CI: 1.4 to 3.7). Conclusions: The use of cartoon characters on HFSS products is widespread. Policies to restrict the use of such marketing tactics should be considered to prevent children being targeted with unhealthy foods and drinks.

Nutrient profiling of ready to eat breakfast cereals reveals substantial differences in macronutrient composition despite similar nutrition claim usage

AbstractUnder Regulation (EC) No 1924/2006 the usage of nutrition and health claims are permitted, however foods that are high in fat, sugars and salt are advised not to use such claims as foods promoted with these claims may influence consumer food choice. The use of nutrient profiles has been proposed as a means of avoiding the potential of such claims masking the overall nutritional status of a product. Ready to eat breakfast cereals (RTEBC) often display nutrition claims whilst also contributing significantly to total sugar and energy intake. The aim of this study was to profile a variety of RTEBC and compare nutrient composition and claim information between nutrient profile categories.The Irish National Food Ingredient database (INFID) is a record of brand specific information from food labels collected during the Irish national food surveys. A convenience sub-sample of RTEBC as eaten by Irish children during the National Children's Food Survey 2 (2017/2018) were selected (n = 102). Nutrient profile (NP) scores were calculated using the UK Nutrient Profiling Model (FSA). NP scores were calculated based on a set of negative macronutrient indicators (energy, saturated fat, total sugars and sodium) minus positive indicators (protein, fibre, “fruit, vegetables and nuts”) present per 100 g. Foods scoring four points or more were classified as “less healthy”.More than half of RTEBC were classed “less healthy” (53%) with a median NP score of 8.0 with “healthy” RTEBC scoring significantly lower at -0.0 (p &lt; 0.001). “Healthy” RTEBC had a median sugar content of 13.4g/100 g compared to 24g/100 g in the “less healthy” (p &lt; 0.001). “Healthy” RTEBC had a higher fibre content of 8.8g/100 g compared to 5.72g/100 g in the “less healthy” (p = 0.001), with 35% of healthy and 28% of less healthy RTEBC making a substantiated “high in fibre” claim. Micronutrient contents of all RTEBC were similar, with only iron significantly higher in “healthy” (13.3mg/100g) compared to “less healthy” (9.5mg/100g) (p = 0.02). The prevalence of substantiated micronutrient related claims was the same between “healthy” and “less healthy” RTEBC.“Healthy” and “less healthy” RTEBC display similar micronutrient profiles, with most of the nutrition claims on both pertaining to the micronutrient and fibre content, potentially overshadowing the macronutrient contribution of the cereals. This analysis shows the ability of nutrient profiling to distinguish products by macronutrient profiles however it identifies the complexity of application with respect to micronutrient content. Further research is required to investigate the contribution of the profiled RTEBC to total nutrient intakes.

Food and Beverage Cues Featured in YouTube Videos of Social Media Influencers Popular With Children: An Exploratory Study

Food and beverage cues (visual displays of food or beverage products/brands) featured in traditional broadcast and digital marketing are predominantly for products high in fat, sugar and/or salt (HFSS). YouTube is hugely popular with children, and cues featured in content uploaded by YouTube video bloggers (influencers) has been shown to affect children’s eating behavior. However, little is known about the prevalence of such cues, the contexts in which they appear, and the frequency with which they are featured as part of explicit marketing campaigns. The objective of this study was to explore the extent and nature of food and beverage cues featured in YouTube videos of influencers popular with children. All videos uploaded by two influencers (one female, one male) over a year (2017) were analyzed. Based on previous content analyses of broadcast marketing, cues were categorized by product type and classified as “healthy” or “less healthy” according to the UK Nutrient Profiling Model. Cues were also coded for branding status, and other factors related to their display (e.g., description). In total, the sample comprised 380 YouTube videos (119.5 h) and, of these, only 27 videos (7.4%) did not feature any food or beverage cues. Cakes (9.4%) and fast foods (8.9%) were the most frequently featured product types, less frequent were healthier products such as fruits (6.5%) and vegetables (5.8%). Overall, cues were more frequently classified as less healthy (49.4%) than healthy (34.5%) and were presented in different contexts according to nutritional profile. Less healthy foods (compared with healthy foods) were more often; branded, presented in the context of eating out, described positively, not consumed, and featured as part of an explicit marketing campaign. These data provide the first empirical assessment of the extent and nature of food and beverage cue presentation in YouTube videos by influencers popular with children. Given the emerging evidence of the effects of influencer marketing of food and beverages on children’s eating behavior, this exploratory study offers a novel methodological platform for digital food marketing assessment and delivers important contextual information that could inform policy deliberations in this area.

Are all ‘ultra-processed’ foods nutritional demons? A commentary and nutritional profiling analysis.

BackgroundThere has been a growing body of literature published on ultra-processed foods (UPF). This has been driven by an ambiguous definition that can be easily applied to observational work. Nutritionally, UPF have been given the umbrella label of being “energy-dense, high in unhealthy types of fat, free sugars and salt, and poor sources of protein, dietary fibre and micronutrients” (Monteiro et al., 2018). Unfortunately, such overarching statements are imprecise and not necessarily reflective of all modern food products. Scope and approachThis commentary evaluates the NOVA classification system and includes an analysis of 50 foods falling under its definition of being ‘ultra-processed’ yet classified as ‘healthy’ according to the UK Nutrient Profiling Model. Nutritional profiles were also compared against European Regulation (EC) No 1924/2006 Nutrition Claims. Key findings and conclusionsNo statistically significant correlations were found between the number of ingredients and energy, saturated fat, total sugar, sodium, AOAC fibre and protein. The majority of UPFs identified were low in saturated fat (84 percent), low in sugar (80 percent) and a source of fibre (60 percent). Thirty eight percent were low salt and 30 percent a source of protein.Based on the findings of this commentary it is suggested that rigorous nutritional analyses should be conducted alongside ‘processing loads’. Overarching and tautological definitions could lead to the public avoiding all UPFs and have unintended consequences such as fibre and micronutrient shortfalls.

Marketing techniques in television advertisements of food and drinks directed at children in Spain, 2012.

To analyse marketing techniques used in television advertisements of food and drinks (AFDs) directed to children, and their nutritional quality. This is a cross-sectional study of television AFDs directed to children in Spain over 7days in 2012. Primary appeal, persuasive and nutritional marketing techniques, and links to Internet were registered. The foods were classified according to their nutritional quality using an international codification system and the UK nutrient profile model. Frequency of AFDs using marketing techniques and percentages for unhealthy products were calculated. Taste and fun were the main primary appeals used. Persuasive and nutritional marketing techniques and links to Internet were used in 61%, 68.5% and 65.2% of AFDs, respectively. These techniques were more common during weekdays, enhanced protection time slots and on channels with particular appeal to children. More than two-thirds of AFDs using these techniques were for unhealthy products, reaching 96.2% of AFDs with premium offers and gifts. There is an extensive use of marketing techniques in television AFDs directed to children in Spain. Most products advertised were unhealthy, so stronger governmental regulations are required.

Less healthy breakfast cereals are promoted more frequently in large supermarket chains in Canada

BackgroundThe majority of food expenditures are made in supermarkets and this environment influences our purchasing and food intake. Breakfast cereals are frequently marketed as healthy food choices. The objective of this study was to examine the frequency of in–store promotions for cold breakfast cereals in Canadian supermarkets and to determine whether healthier or less healthy breakfast cereals are promoted more frequently.MethodsData was collected once per week over a four-week period from a convenience sample of the five largest Canadian supermarkets in the Ottawa/Gatineau area. Data collection included the number of shelf facings, promotional displays, and the cost of cereals/100 g. The UK Nutrient Profiling Model was used to determine the healthfulness of each breakfast cereal.Results29.8% (n = 67) of the 225 unique cereals were classified as healthier and 70.2% (n = 158) were classified as less healthy. Less healthy cereals were displayed at eye level, in the profitable middle shelves, 2.9 times more frequently than healthier cereals. There were 5.3 times more breakfast cereal shelf facings, 4.2 more end cap displays, 1.7 more mid-aisle displays and 3.3 more special pricing signage for less healthy cereals compared to healthier cereals. Less healthy cereals had a significantly higher average total number of shelf facings compared to healthier cereals (t = −4.28 (280.8), p < .001).ConclusionsBreakfast cereal manufacturers need to consider reformulation of their breakfast cereals to improve their healthfulness and supermarkets need to increase the marketing of healthy breakfast cereals within their stores.

The healthfulness and prominence of sugar in child-targeted breakfast cereals in Canada.

The objective of this study was to compare the nutritional content and healthfulness of child-targeted and "not child-targeted" breakfast cereals and to assess the predominance of added sugar in these products. We collected data on the nutritional content of 262 unique breakfast cereals found in the five largest grocery store chains in Ottawa (Ontario) and Gatineau (Quebec). We noted the first five ingredients and the number of added sugars present in each cereal from the ingredients list. The various cereal brands were then classified as either "healthier" or "less healthy" using the UK Nutrient Profile Model. We assessed each cereal to determine if it was child-targeted or not, based on set criteria. Statistical comparisons were made between child and not child-targeted cereals. 19.8% of all breakfast cereals were child-targeted, and these were significantly lower in total and saturated fat. Child-targeted cereals were significantly higher in sodium and sugar and lower in fibre and protein, and were three times more likely to be classified as "less healthy" compared to not child-targeted cereals. No child-targeted cereals were sugar-free, and sugar was the second most common ingredient in 75% of cereals. Six breakfast cereal companies had child-targeted product lines that consisted entirely of "less healthy" cereals. There is a need for regulations that restrict food marketing to children and youth under the age of 17 on packaging to reduce their appeal to this age group. Children's breakfast cereals also need to be reformulated through government-set targets, or through regulation should compliance be deemed unacceptable.

Television food advertising to children in Slovenia: analyses using a large 12-month advertising dataset.

The marketing of energy-dense foods is recognised as a probable causal factor in children's overweight and obesity. To stimulate policymakers to start using nutrient profiling to restrict food marketing, a harmonised model was recently proposed by the WHO. Our objective is to evaluate the television advertising of foods in Slovenia using the above-mentioned model. An analysis is performed using a representative dataset of 93,902 food-related advertisements broadcast in Slovenia in year 2013. The advertisements are linked to specific foods, which are then subject to categorisation according to the WHO and UK nutrient profile model. Advertising of chocolate and confectionery represented 37% of food-related advertising in all viewing times, and 77% in children's (4-9years) viewing hours. During these hours, 96% of the food advertisements did not pass the criteria for permitted advertising according to the WHO profile model. Evidence from Slovenia shows that, in the absence of efficient regulatory marketing restrictions, television advertising of food to children is almost exclusively linked to energy-dense foods. Minor modifications of the proposed WHO nutrient profile model are suggested.

The extent and nature of food advertising to children on Spanish television in 2012 using an international food-based coding system and the UK nutrient profiling model

ObjectiveTo examine the extent and nature of food television advertising directed at children in Spain using an international food-based system and the United Kingdom nutrient profile model (UKNPM). Study designCross-sectional study of advertisements of food and drinks shown on five television channels over 7 days in 2012 (8am-midnight). MethodsShowing time and duration of each advertisement was recorded. Advertisements were classified as core (nutrient-rich/calorie-low products), non-core, or miscellaneous based on the international system, and either healthy/less healthy, i.e., high in saturated fats, trans-fatty acids, salt, or free sugars (HFSS), according to UKNPM. ResultsThe food industry accounted for 23.7% of the advertisements (4212 out of 17,722) with 7.5 advertisements per hour of broadcasting. The international food-based coding system classified 60.2% of adverts as non-core, and UKNPM classified 64.0% as HFSS. Up to 31.5% of core, 86.8% of non-core, and 8.3% of miscellaneous advertisements were for HFSS products. The percentage of advertisements for HFSS products was higher during reinforced protected viewing times (69.0%), on weekends (71.1%), on channels of particular appeal to children and teenagers (67.8%), and on broadcasts regulated by the Spanish Code of self-regulation of the advertising of food products directed at children (70.7%). ConclusionsBoth schemes identified that a majority of foods advertised were unhealthy, although some classification differences between the two systems are important to consider. The food advertising Code is not limiting Spanish children's exposure to advertisements for HFSS products, which were more frequent on Code-regulated broadcasts and during reinforced protected viewing time.

Evaluation of food and beverage television advertising during children's viewing time in Spain using the UK nutrient profile model.

To evaluate the nutritional quality of products advertised on television (TV) during children’s viewing time in Spain, applying the UK nutrient profile model (UKNPM). We recorded 80 h of four general TV station broadcasts during children’s time in May and June 2008, and identified all advertisements for foods and beverages. Nutritional information was obtained from the product labels or websites and from food composition tables. Each product was classified as healthy (e.g. gazpacho, a vegetable juice) or less healthy (e.g. potato crisp snacks) according to the UKNPM criteria. Four free-of-charge TV channels in Spain: two national channels and two regional ones. TV commercials of food and beverages. A total of 486 commercials were broadcast for ninety-six different products, with a mean frequency of 5?1 advertisements per product. Some 61?5% of the ninety-six products were less healthy, and the percentage was higher for foods (74?1 %). All (100 %) of the breakfast cereals and 80% of the non-alcoholic drinks and soft drinks were less healthy. Of the total sample of commercials, 59?7% were for less healthy products, a percentage that rose to 71?2% during children’s reinforced protection viewing time. Over half the commercials were for less healthy products, a proportion that rose to over two-thirds during the hours of special protection for children. This suggests that applying the UKNPM to regulate food advertising during this slot would entail the withdrawal of most food commercials in Spain. TV advertising of products with low nutritional quality should be restricted.

Identifying ‘unhealthy’ food advertising on television: a case study applying the UK Nutrient Profile model

To evaluate the feasibility of the UK Nutrient Profile (NP) model for identifying 'unhealthy' food advertisements using a case study of New Zealand television advertisements. Four weeks of weekday television from 15.30 hours to 18.30 hours was videotaped from a state-owned (free-to-air) television channel popular with children. Food advertisements were identified and their nutritional information collected in accordance with the requirements of the NP model. Nutrient information was obtained from a variety of sources including food labels, company websites and a national nutritional database. From the 60 h sample of weekday afternoon television, there were 1893 advertisements, of which 483 were for food products or retailers. After applying the NP model, 66 % of these were classified as advertising high-fat, high-salt and high-sugar (HFSS) foods; 28 % were classified as advertising non-HFSS foods; and the remaining 2 % were unclassifiable. More than half (53 %) of the HFSS food advertisements were for 'mixed meal' items promoted by major fast-food franchises. The advertising of non-HFSS food was sparse, covering a narrow range of food groups, with no advertisements for fresh fruit or vegetables. Despite the NP model having some design limitations in classifying real-world televised food advertisements, it was easily applied to this sample and could clearly identify HFSS products. Policy makers who do not wish to completely restrict food advertising to children outright should consider using this NP model for regulating food advertising.