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Background/objectives: School-based nutrition education interventions can support the development of children's food literacy and healthy eating habits. The Foodbot Factory serious game was developed to support school nutrition education based on Canada's Food Guide and Ontario curriculum. The objective of this research was to refine the Foodbot Factory intervention to include curriculum-based lesson plans that had a high-level of acceptability by stakeholders to support implementation by teachers in classrooms., Methods: A co-design approach was used to engage teacher and dietitian stakeholders in developing five lesson plans for the intervention, who contributed to creating the intervention content in three stages. The stages included reviewing and providing feedback on the initial draft of the lesson plans, participating in facilitated discussion rounds to come to a consensus on the changes required, and completing a final review of the intervention's acceptability. Qualitative data included notes on the lesson plans and recordings from meetings that were analyzed thematically., Results: During the first co-design stage, major revisions were suggested for two-fifths of the lessons by stakeholders. Further stakeholder suggestions were discussed and integrated into the intervention from facilitated discussions, improving the lesson plan content and intervention feasibility. All stakeholders agreed that the final version of the intervention was acceptable and would support classroom nutrition education. Five lesson plans were created and compiled into a unit plan, containing additional teaching resources, to support nutrition education with Foodbot Factory., Conclusions: The co-design process greatly improved the Foodbot Factory intervention and its feasibility for classroom implementation. Including diverse stakeholder perspectives led to unique and different insights to improve the intervention.

Background: An increasing number of dietitians use non-diet approaches, referred to as non-weight focused practice approaches (NWFAs), in clinical practice when working with higher weight adult clients. However, the factors that impact dietitians' ability to successfully implement these approaches in practice are unknown., Methods: Aiming to examine how implementing NWFAs in clinical practice differs based on the extent to which a dietitian uses NWFAs with their clients, we conducted a cross-sectional online survey among Canadian registered dietitians who work with higher weight adults (May to July 2021), developed and validated following the Consolidated Framework for Implementation Research. Descriptive statistics were conducted to identify barriers and facilitators with respect to implementing NWFAs. The Kruskal-Wallis was used to test for differences in barriers and facilitators with respect to implementing NWFAs among five different practice approaches. The results showed that, among participants (n = 383; 82% white; 95% women) the most important barriers for implementation of NWFAs were clients' focus on weight as an outcome, when losing weight is a condition to access enhanced services, requiring changes to their practice philosophy, difficulty funding professional development and not having sufficient skills or knowledge to implement NWFAs in practice. Top-rated facilitators included the use of clinical guidelines, scientific publications and educational materials, which were rated with higher agreement across all implementation stages (p < 0.001)., Conclusions: The present study highlights important factors that may impact the effective implementation of NWFAs in dietetic practice for higher weight adult clients, which is essential to minimise barriers in practice., (© 2024 The Authors. Journal of Human Nutrition and Dietetics published by John Wiley & Sons Ltd on behalf of British Dietetic Association.)

Serious games (i.e., digital games designed for educational purposes) can foster positive learning attitudes and are increasingly used as educational tools. Foodbot Factory is a serious game application (app) that helps children learn about healthy eating based on Canada's Food Guide principles and has demonstrated to increase nutrition knowledge among this group. This paper describes the process followed to expand Foodbot Factory's educational content and integrate immersive technologies and innovative features into the app. The revision process, which was guided by the Obesity-Related Behavioral Intervention Trials model, included the following phases: first, an interdisciplinary team of nutrition scientists, education experts, and computer scientists analyzed data from the original pilot study, recently published literature, and feedback from stakeholders to define areas to improve Foodbot Factory. The five original Foodbot Factory modules were evaluated by the team during weekly meetings, where the educational content, interactive features, and other elements that required updates (e.g., aesthetics and accessibility) were identified. Second, prototypes were created and refined until a final version of Foodbot Factory was approved. Nineteen children tested the updated Foodbot Factory and found it "easy to use" (89%) and "fun" (95%). The new version of Foodbot Factory contains 19 learning objectives, including 13 original and six new objectives. Interactive engagement features in the updated Foodbot Factory included augmented reality incorporated into two learning modules; new mini-games were created, including a memory game; an overhaul of the aesthetics; (e.g., new food images); and accessibility features were included to support users with cognitive and vision disabilities., Competing Interests: The authors declare there are no competing interests.

Non-weight-focused approaches (NWFAs) may be used by some clinicians when working with higher-weight clients. In contrast to weight-focused approaches (WFAs), NWFAs de-emphasize or negate weight loss and emphasize overall diet quality and physical activity. The extent to which WFAs, NWFAs, or a combination of both WFAs and NWFAs are used by dietitians is unknown in Canada and globally. This study surveyed Canadian Registered Dietitians (RDs) who counsel higher-weight clients to assess which practice approaches are most commonly used, how they view the importance of weight, and how they define "obesity" for the study population. Five practice approaches were initially defined and used to inform the survey: solely weight-focused; moderately weight-focused; those who fluctuate between weight-focused/weight-inclusive approaches (e.g., used both approaches); weight inclusive and; weight liberated. Participants (n = 383; 94.8% women; 82.2% white) were recruited using social media and professional listservs. Overall, 45.4% of participants used NWFAs, 40.5% fluctuated between weight-focused/moderately weight-focused, and 14.1% used weight-focused approaches (solely weight focused and moderately weight focused). Many participants (63%) agreed that weight loss was not important for higher-weight clients. However, 81% of participants received no formal preparation in NWFAs during their education or training. More research is needed to understand NWFAs and to inform dietetic education in support of efforts to eliminate weight stigma and provide inclusive access to care.

Background: Children increasingly use mobile apps. Strategies to increase child engagement with apps include the use of gamification and images that incite fun and interaction, such as food. However, the foods and beverages that children are exposed to while using apps are unknown and may vary by app type., Objective: The aim of this study is to identify the app content (ie, types of foods and beverages) included in nutrition-themed apps intended for children, to assess the use of game-like features, and to examine app characteristics such as overall quality and behavior change techniques (BCTs)., Methods: This analysis used a cross-sectional database of nutrition-themed apps intended for children (≤12 years), collected between May 2018 and June 2019 from the Apple App Store and Google Play Store (n=259). Apps were classified into four types: food games or nongames that included didactic nutrition guides, habit trackers, and other. Food and beverages were identified in apps and classified into 16 food categories, as recommended (8/16, 50%) and as not recommended (8/16, 50%) by dietary guidelines, and quantified by app type. Binomial logistic regression assessed whether game apps were associated with foods and beverages not recommended by guidelines. App quality, overall and by subscales, was determined using the Mobile App Rating Scale. The BCT Taxonomy was used to classify the different behavioral techniques that were identified in a subsample of apps (124/259, 47.9%)., Results: A total of 259 apps displayed a median of 6 (IQR 3) foods and beverages. Moreover, 62.5% (162/259) of apps were classified as food games, 27.4% (71/259) as didactic nutrition guides, 6.6% (17/259) as habit trackers, and 3.5% (9/259) as other. Most apps (198/259, 76.4%) displayed at least one food or beverage that was not recommended by the dietary guidelines. Food game apps were almost 3 times more likely to display food and beverages not recommended by the guidelines compared with nongame apps (β=2.8; P<.001). The overall app quality was moderate, with a median Mobile App Rating Scale score of 3.6 (IQR 0.7). Functionality was the subscale with the highest score (median 4, IQR 0.3). Nutrition guides were more likely to be educational and contain informative content on healthy eating (score 3.7), compared with the other app types, although they also scored significantly lower in engagement (score 2.3). Most apps (105/124, 84.7%) displayed at least one BCT, with the most common BCT being information about health consequences., Conclusions: Findings suggest nutrition-themed apps intended for children displayed food and beverage content not recommended by dietary guidelines, with gaming apps more likely to display not recommended foods than their nongame counterparts. Many apps have a moderate app quality, and the use of consequences (instead of rewards) was the most common BCT., (©Jacqueline Marie Brown, Beatriz Franco-Arellano, Hannah Froome, Amina Siddiqi, Amina Mahmood, JoAnne Arcand. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 16.02.2022.)

Background: Food companies shape Canada's food supply through voluntary actions and commitments concerning product (re)formulation; however, the extent that these initiatives translate into actual improvements in nutritional quality is unclear. This study examined changes in the nutritional quality of products offered by the top 22 packaged food and beverage companies in Canada from 2013 to 2017, in relation to the strength of their product (re) formulation actions and commitments., Methods: The Food Company Reformulation (FCR) scoring tool was used to quantify the strength of companies' reported recent actions and commitments to reduce energy and nutrients of concern in their products, with higher scores signifying stronger voluntary actions/commitments. Nutritional information for products was sourced from the University of Toronto FLIP 2013 (n = 6490) and 2017 (n = 8277) databases (n = 4074 matched products). Changes in product healthfulness were assessed using the Health Star Rating (HSR) system (with higher HSRs denoting healthier products) and calories, sodium, saturated fat, trans fat, and total and free sugar levels per 100 g/mL. Generalized estimating equations examined changes in nutritional quality in relation to FCR scores., Results: Overall, mean HSRs increased significantly for 5 companies' product portfolios and were reduced in 1 company's product portfolio. There were significant reductions in calories, sodium, saturated fat in 2 companies' portfolios and increases in 4, 3, and 8 companies' portfolios, respectively. Trans fats increased significantly in 2 companies' portfolios. Total and free sugars decreased significantly in 4 and 5 companies' portfolios, respectively, and increased in 1 company's portfolio. There was little change in the healthfulness of matched products. Higher FCR scores were not associated with greater increases in HSRs, or reductions in calories or nutrient amounts. FCR scores were negatively associated with HSRs and positively associated with total and free sugars. No relationship was observed between FCR scores and calories, sodium, saturated fat or trans fat., Conclusions: Reporting stronger voluntary product (re) formulation actions and commitments was not associated with greater improvements in the healthfulness of products offered by Canada's leading packaged food and beverage companies from 2013 to 2017, suggesting a need for stronger industry initiatives or mandatory government interventions to improve the healthfulness of the food supply., (© 2022. The Author(s).)

Objectives: Traditional methods for creating food composition databases struggle to cope with the large number of products and the rapid pace of turnover in the food supply. This paper introduces Food Label Information Program (FLIP), a big data approach to the evaluation of the Canadian food supply and presents the latest methods used in the development of this database., Methods: The Food Label Information Program (FLIP) is a database of Canadian food and beverage package labels by brand name. The latest iteration of the FLIP, FLIP 2020, was developed using website "scraping" to collect food labeling information (e.g., nutritional composition, price, product images, ingredients, brand, etc.) on all foods and beverages available on seven major Canadian e-grocery retailer websites between May 2020 and February 2021., Results: The University of Toronto's Food Label Information Program (FLIP) 2020 was developed in three phases: Phase 1, database development and enhancements; Phase 2, data capture and management of food products and nutrition information; Phase 3, data processing and food categorizing. A total of 74,445 products available on websites of seven retailers and 2 location-specific duplicate retailers were collected for FLIP 2020. Of 57,006 food and beverage products available on seven retailers, nutritional composition data were available for about 60% of the products and ingredients were available for about 45%. Data for energy, protein, carbohydrate, fat, sugar, sodium and saturated fat were present for 54-65% of the products, while fiber information was available for 37%. Food products were classified under multiple categorization systems, including Health Canada's Table of Reference Amounts, Health Canada's sodium categories for guiding benchmark sodium levels, sugar-focused categories and categories specific to various global nutrient profiling models., Conclusions: FLIP is a powerful tool for evaluating and monitoring the Canadian food supply environment. The comprehensive sampling and granularity of collection provides power for revealing analyses of the relationship between nutritional quality and marketing of branded foods, timely observation of product reformulation and other changes to the Canadian food supply., Competing Interests: ML'A and MA report receiving a competitive research grant from IAFNS formerly ILSI NA to analyze NHANES data to determine the intakes and sources of sodium in the diets of Americans 2021–2022. None of these companies/organizations had any involvement in the present research. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Ahmed, Schermel, Lee, Weippert, Franco-Arellano and L'Abbé.)

Foodbot Factory is a serious game developed to teach children about the 2019 Canada's Food Guide (CFG) healthy eating principles. Because no measurement tools existed to assess changes in children's knowledge of the CFG, the Nutrition Attitudes and Knowledge (NAK) questionnaire was developed for this purpose. The NAK is based on the 2019 CFG nutrition content and aligned with the Foodbot Factory modules (Drinks, Whole Grain foods, Vegetables and Fruit, Protein foods). Seven experts assessed face and content validity of the draft NAK questionnaire. Three sections were deemed valid, while the remaining 2 required minor revisions. The NAK was pilot tested for changes in nutrition attitudes and knowledge among children aged 9-10 years-old ( n  = 23), who answered the NAK questionnaire before and after using Foodbot Factory. Significant increases were found in overall nutrition knowledge, and knowledge of Whole Grain foods, Vegetables and Fruit and Protein foods. Knowledge of Drinks and nutrition attitudes remained unchanged. The NAK showed a moderate reliability when tested among a group of children ( n  = 23). While the NAK questionnaire is a promising tool for assessing changes nutrition knowledge related to the 2019 CFG guidelines in children, further research is required to test construct validity of this instrument. Novelty: The Nutrition Attitudes and Knowledge (NAK) questionnaire was developed by educators and dietitians. The NAK underwent face and content validity assessments and was pilot tested among children. The NAK questionnaire is a potential tool to detect changes in children's knowledge of the 2019 Canada's Food Guide.

In 2015, the Pan American Health Organization (PAHO) published sodium targets for packaged foods, which included two distinct levels: one "regional" and one "lower" target. Changes to the sodium content of the food supply in Latin American Countries (LAC) has not been evaluated. A repeated cross-sectional study used food label data from 2015 ( n = 3859) and 2018 ( n = 5312) to determine changes in the proportion of packaged foods meeting the PAHO sodium targets and the distribution in the sodium content of foods in four LAC (Argentina, Costa Rica, Paraguay, Peru). Foods were classified into the 18 food categories in the PAHO targets. The proportion of foods meeting the regional targets increased from 82.9% to 89.3% between 2015 and 2018 ( p < 0.001). Overall, 44.4% of categories had significant decreases in mean sodium content. Categories with a higher proportion of foods meeting the regional and lower targets in 2018 compared to 2015 ( p < 0.05) were breaded meat and poultry, wet and dry soups, snacks, cakes, bread products, flavored cookies and crackers, and dry pasta and noodles. While positive progress has been made in reducing the sodium content of foods in LAC, sodium intakes in the region remain high. More stringent targets are required to support sodium reduction in LAC.

In 2019, Canada's Food Guide (CFG) was updated from the 2007 version. This study developed a food-based nutrient profile model (NPM) to evaluate the alignment of packaged food and beverage products with CFG 2019 and compared it with CFG 2007. Packaged products from the University of Toronto's Food Label Information Program 2017 database were evaluated in terms of their alignment with CFG 2007 (using the Health Canada Surveillance Tool (HCST)) and CFG 2019 (using our newly developed CFG 2019 NPM). Agreement in alignment (e.g., products "in line" according to CFG 2019 NPM and in Tiers 1 or 2 according to the HCST) was calculated and differences in alignment and reasons for differences were quantified and described. Overall agreement in product alignment between CFG 2007 and 2019 was 81.9%, with fewer products aligned with CFG 2019: 16.4% vs. 31.8%, (χ 2 = 189.12, p  < 0.001). Differences in alignment varied across food categories (0.0-73.8%), explained by differences in CFG 2019, reflected in the CFG 2019 NPM (e.g., emphasis on avoiding processed foods, encouraging whole grains and low-fat dairy). This study presents a first step in assessing packaged foods' alignment with CFG 2019; future work is needed to evaluate broader dietary adherence to the updated recommendations. Novelty: A food-based nutrient profile model was developed based on the 2019 CFG and tested on packaged foods by comparing it with the nutrient-based HCST, based on CFG 2007. Most (82%) packaged products were "not in line" with either CFG version.

Little is known about the healthfulness and cost of gluten-free (GF) foods, relative to non-GF alternatives, in Canada. This study compared the extent of processing, nutritional composition and prices of Canadian products with and without GF claims. Data were sourced from the University of Toronto Food Label Information Program (FLIP) 2013 ( n = 15,285) and 2017 ( n = 17,337) databases. Logistic regression models examined the association of NOVA processing category with GF claims. Calorie/nutrient contents per 100 g (or mL) were compared between GF and non-GF products. Generalized linear models compared adjusted mean prices per 100 g (or mL) of products with and without GF claims. The prevalence of GF claims increased from 7.1% in 2013 to 15.0% in 2017. GF claims appeared on 17.0% of ultra-processed foods, which were more likely to bear GF claims products than less-processed categories. Median calories and sodium were significantly higher in GF products; no significant differences were observed for saturated fat or sugars. Compared to non-GF products, adjusted mean prices of GF products were higher for 10 food categories, lower for six categories and not significantly different for six categories. Overall, GF claims are becoming increasingly prevalent in Canada; however, they are often less healthful and more expensive than non-GF alternatives, disadvantaging consumers following GF diets.

Objective: To examine the impact of front-of-package (FOP) labels on perceived healthfulness, purchasing intentions and understanding of common FOP systems., Design: A parallel, open-label design randomised participants to different FOP labelling conditions: 'high in' warning labels (WL), multiple traffic light labelling (TLL), health star ratings (HSR) (all displayed per serving) or control with no interpretive FOP labelling. Participants completed a brief educational session via a smartphone application and two experimental tasks. In Task 1, participants viewed healthy or unhealthy versions of four products and rated healthiness and purchasing intention on a seven-point Likert-type scale. In Task 2, participants ranked three sets of five products from healthiest to least healthy., Setting: Online commercial panel., Participants: Canadian residents ≥ 18 years who were involved in household grocery shopping, owned a smartphone and met minimum screen requirements., Results: Data from 1997 participants (n 500/condition) were analysed. Task 1: across most product categories, the TLL and HSR increased perceived healthiness of healthier products. All FOP systems decreased perceived healthiness of less healthy products. Similar, albeit dampened, effects were seen regarding purchasing intentions. Task 2: participants performed best in the HSR, followed by the TLL, WL and control conditions. Lower health literacy was associated with higher perceived healthiness and purchasing intentions and poorer ranking task performance across all conditions., Conclusions: All FOP labelling systems, after a brief educational session, improved task performance across a wide spectrum of foods. This effect differed depending on the nutritional quality of the products and the information communicated on labels.Trial Registration: NCT03290118.

The interactive and engaging nature of serious games (i.e., video games designed for educational purposes) enables deeper learning and facilitates behavior change; however, most do not specifically support the dissemination of national dietary guidelines, and there are limited data on their impact on child nutrition knowledge. The Foodbot Factory serious game mobile application was developed to support school children in learning about Canada's Food Guide; however, its impacts on nutrition knowledge have not been evaluated. The objective of this study was to determine if Foodbot Factory effectively improves children's knowledge of Canada's Food Guide, compared to a control group (control app). This study was a single-blinded, parallel, randomized controlled pilot study conducted among children ages 8-10 years attending Ontario Tech University day camps. Compared to the control group ( n = 34), children who used Foodbot Factory ( n = 39) had significant increases in overall nutrition knowledge (10.3 ± 2.9 to 13.5 ± 3.8 versus 10.2 ± 3.1 to 10.4 ± 3.2, p < 0.001), and in Vegetables and Fruits ( p < 0.001), Protein Foods ( p < 0.001), and Whole Grain Foods ( p = 0.040) sub-scores. No significant difference in knowledge was observed in the Drinks sub-score. Foodbot Factory has the potential to be an effective educational tool to support children in learning about nutrition.

This study aimed to assess consumers' implicit and explicit recall, understanding and perceptions of products with a nutrition claim and a symbol depicting 'health,' and to determine whether these perceptions differed among Nutrition Facts table (NFt) users vs. nonusers. In an online survey, participants (n = 1997) were randomized to one of eight conditions in a 2 × 2 × 2 factorial design, consisting of a label with a claim (present/absent) a heart-shaped symbol depicting 'health' (present/absent) for a healthier or less healthy soup. Participants were shown a label for 10 s and asked whether they recalled seeing a claim. If participants answered yes, they were then asked to describe their response using open-ended questions. Participants also rated the product's perceived nutritional quality and purchase intentions using seven-point Likert scales. In the claim condition, most participants (75%) were able to recall the presence of a claim, while 12% incorrectly mentioned the presence of a claim when there was none. Claims likely attracted consumers' attention and increased perceived nutritional quality, although with limited influence among NFt users (23%). The symbol depicting 'health' did not enhance perceived nutritional quality or purchase intentions. Although most participants (77%) made their decisions implicitly using the front of labels, those who used the NFt had a better understanding of the nutritional quality of products.

Objective: To assess the prevalence of partially hydrogenated oils (PHO), hydrogenated oils (HO) and/or both in Canadian packaged foods in 2013 and 2017 and to determine the mean trans-fatty acid (TFA) content of products declaring such oils., Design: Repeated cross-sectional study of the Food Label Information Program., Setting: Food labels (n 32 875) were collected from top Canadian grocery retailers in 2013 and 2017. Proportions of products declaring PHO, HO and/or both in the Ingredients List were calculated by year and food category. The percentage contribution of TFA (g) to total fat (g) was calculated and compared against the voluntary TFA limits, defined as <2 % of total fat content for fats and oils, and <5 % for all other foods. Foods exceeding limits were identified. The mean TFA content (in g/serving and per 100 g) was calculated for products with these oils., Results: The use of PHO, HO and/or both significantly decreased in Canadian foods from 2013 to 2017 (0·8 to 0·2 %, 5 to 2·4 % and 5·7 to 2·6 %, respectively, for PHO, HO and/or both). The mean TFA content of products containing PHO increased (0·34 to 0·57 g TFA/serving); although it was not statistically significant, it is still concerning that TFA content increased. The TFA content significantly decreased in foods with HO (0·24 to 0·16 g TFA/serving, P < 0·05) during 2013-2017., Conclusions: Products with PHO continue to be present in the Canadian marketplace, despite voluntary efforts to eliminate them. Products with HO should also be monitored, as they can also contribute to TFA content in foods.

Nutrient profiling (NP) models are useful tools for objectively and transparently quantifying the nutritional quality of packaged foods and beverages. Many NP models incorporate ingredients beneficial for health (e.g., fruits, vegetables, nuts, legumes (FVNL)) in addition to less healthful nutrients or components, assigning points based on the proportion of the product that contains FVNL ingredients. However, with food labelling in most countries lacking mandatory quantitative ingredient declarations (QUIDs), there is potential for the estimation of FVNL points to be ambiguous and inconsistent. The purpose of this article was to describe the development and application of methodology for estimating FVNL points for products without QUIDs, based on the position of FVNL components within the ingredients list. Using this method, FVNL points were calculated for packaged foods and beverages in the University of Toronto Food Label Information Program 2017 database ( n = 17,337). Distributions of FVNL points were examined overall and by food category. This study provides evidence of the feasibility of this method in distinguishing between products with differing amounts of FVNL ingredients. This method will be valuable for researchers and policymakers in ensuring consistent, objective and reproducible estimations of FVNL points-and consequently, assessments of product healthfulness-for food supplies without QUIDs.

Mandatory front-of-pack (FOP) labelling was proposed in Canada to highlight foods with high contents of sugars, sodium and/or saturated fats, which would be displayed on labels along with the mandatory Nutrition Facts table and voluntary nutrition claims. In an online survey, participants (n = 1997) were randomized to one of four FOP labelling conditions: 1) control, 2) warning label, 3) health star rating or 4) traffic light labelling. Participants were shown four drinks (a healthier drink with or without a disease risk reduction claim, a healthier drink with or without a nutrient content claim, a less healthy drink with or without a disease risk reduction claim and a less healthy drink with or without a nutrient content claim) in random order and one at a time. Participants rated perceived product healthfulness and purchase intentions using a 7-point Likert scale. Participants could access the Nutrition Facts table while viewing labels. Results showed less healthy drinks displaying any FOP labelling were perceived as less healthy compared to the control. In healthier drinks, health star rating and traffic light labelling created a 'halo' effect, which was not observed with warning labels. Similar results were observed with purchase intentions. Drinks displaying a disease risk reduction claim were perceived as healthier than those without (p < 0.001) regardless of product's healthfulness. The effect of a nutrient content claim was not significantly different. The effect of FOP labelling and claims was mitigated for those who used the Nutrition Facts table. FOP labelling was likely helpful for consumers with different levels of health literacy. Overall, FOP labelling had significantly stronger influence than nutrition claims on consumers' perceptions; however, the effect of each FOP label varied on healthier and less healthy drinks., Competing Interests: Declaration of competing interest Prior coming to the University of Toronto Beatriz Franco-Arellano was a PepsiCo Mexico employee. Lana Vanderlee has no conflict of interests. Mavra Ahmed is a Mitacs Elevate Postdoctoral Fellow at the University of Toronto jointly funded by the Government of Canada Mitacs Program and the Nestlé Research Center. None of the previous companies/organizations were involved in any way in the present research. Angela Oh has no conflict of interests. Mary L'Abbé has received other research grants from the Canadian Institutes of Health Research, Canadian Stroke Network, Burroughs Wellcome Fund, Heart and Stroke Foundation of Canada, International Development Research Centre, University of Toronto (unrestricted research funds). The funding sponsors had no role in the design of the study, data collection and analyses, decision to publish, or preparation of the manuscript., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Canada's food supply is abundant in less healthy products, increasing Canadians' risk of obesity and non-communicable diseases. Food companies strongly influence the food supply; however, no studies have examined differences in the healthfulness of products offered by various companies in Canada. This study aimed to compare the nutritional quality of products offered by the top packaged food and beverage companies in Canada., Methods: Twenty-two top packaged food and beverage manufacturing companies were selected, representing > 50% of the Canadian market share in 2018. Nutritional information for products (n = 8277) was sourced from the University of Toronto Food Label Information Program 2017 database. Descriptive analyses examined the nutritional quality of products based on: 1) the Health Star Rating (HSR) system; 2) calories, sodium, saturated fat and total sugars per 100 g (or mL) and per reference amounts (RAs) defined by Health Canada; and 3) "high in" thresholds for sodium, saturated fat and total sugars proposed by Health Canada for pending front-of-package labelling regulations. Kruskal-Wallis tests compared HSRs of products between companies., Results: Mean HSRs of companies' total product offerings ranged from 1.9 to 3.6 (out of 5.0). Differences in HSRs of products between companies were significant overall and for 19 of 22 food categories (P < 0.05), particularly for fats/oils and beverages. Calories, sodium, saturated fat and total sugars contents varied widely between companies for several food categories, and depending on whether they were examined per 100 g (or mL) or RA. Additionally, 66.4% of all products exceeded ≥1 of Health Canada's "high in" thresholds for sodium (31.7%), saturated fat (28.3%) and/or sugars (28.4%). The proportion of products offered by a company that exceeded at least one of these thresholds ranged from 38.5 to 97.5%., Conclusions: The nutritional quality of products offered by leading packaged food and beverage manufacturers in Canada differs significantly overall and by food category, with many products considered less healthy according to multiple nutrient profiling methods. Variation within food categories illustrates the need and potential for companies to improve the healthfulness of their products. Identifying companies that offer less healthy products compared with others in Canada may help prompt reformulation.

Background: Food labelling is a common intervention to improve diets, where the back-of-pack Nutrition Information Panel (or Nutrition Facts table (NFt)) provides comprehensive nutrition information on food packages. However, many consumers find it difficult and time-consuming to identify healthier foods using the NFt. As a result, different interpretative nutrition rating systems (INRS) may enable healthier food choices and it is essential that consumers have the tools to allow for easily accessible nutrition information. The objective of this study was to examine consumers' perceptions of different (INRS) for delivery of nutrition information using different versions of a smartphone app, FoodFlip©., Methods: This study was part of a larger randomized controlled trial examining consumer perceptions of different INRS on food products. A nationally representative commercial sample of 2008 Canadians were randomized to one of four INRS intervention groups: 1) traffic light, 2) health star rating, 3) 'high-in' warning labels or 4) no INRS (NFt only; control) and asked to scan or enter 20 products into FoodFlip© from a list of food products provided to them with varying levels of healthfulness. After completing the app task, participants were asked a series of 7-point Likert-scale and open-ended questions to provide opinions on the usability and functionality of the app., Results: Of the survey sample of 1997 participants, 95% (n = 1907) completed the app task, with similar number of participants in each treatment group. The mean age was 40 ± 12 years with no differences in sociodemographic characteristics between treatment groups. The health star rating ranked significantly lower in comparison to the other treatment groups in terms of usefulness (OR, 95% CI -0.67, 0.52-0.85), believability (0.59, 0.46-0.75), and understanding (0.55, 0.44-0.71) (p < 0.001). The health star rating (1.20, 0.94-1.53) and control (NFt) (1,1,1) ranked significantly lower than the traffic light or the 'high-in' warning labels for their ability to compare the healthfulness of products (p < 0.001)., Conclusion: This study demonstrated Canadian consumers' preference for a nutrient-specific system (i.e. traffic light or 'high-in' warning labels). The app, which was liked by majority of the participants for its functionality and usability, has the potential to support healthy dietary decision making and may also encourage reformulation., Trial Registration: NCT03290118 (Clinicaltrials.gov).

Canadians' food purchases consist largely of packaged processed and ultra-processed products, which typically fall outside the "core" foods recommended by Canada's Food Guide (CFG). Almost half of packaged products in Canada carry nutrition marketing (i.e., nutrient content and health claims). This study assessed whether packaged foods carrying nutrition marketing align with recommendations outlined in the 2007 CFG. Label data ( n = 9376) were extracted from the 2013 Food Label Information Program (FLIP). Label components (including nutrition marketing) were classified using the International Network for Food and Obesity/NCDs Research, Monitoring and Action Support (INFORMAS) labelling taxonomy. The Health Canada Surveillance Tool (HCST) was used to assess the alignment of products to CFG. Each food or beverage was classified into one of five groups (i.e., Tier 1, Tier 2, Tier 3, Tier 4, "Others"). Products in Tier 1, 2 or water were considered "in line with CFG". Most products in the analyzed sample were classified as Tier 2 (35%) and Tier 3 (27%). Although foods with nutrition marketing were significantly more likely to align to CFG recommendations ( p < 0.001), many products not "in line with CFG" still carried nutrition marketing. This study provides important baseline data that could be used upon the implementation of the new CFG.

Nutrient profile (NP) models, tools used to rate or evaluate the nutritional quality of foods, are increasingly used by government bodies worldwide to underpin nutrition-related policies. An up-to-date and accessible list of existing NP models is currently unavailable to support their adoption or adaptation in different jurisdictions. This study used a systematic approach to develop a global resource that summarizes key characteristics of NP models with applications in government-led nutrition policies. NP models were identified from an unpublished WHO catalog of NP models last updated in 2012 and from searches conducted in different databases of the peer-reviewed (n = 3; e.g., PubMed) and gray literature (n = 15). Included models had to meet the following inclusion criteria (selected) as of 22 December 2016: 1) developed or endorsed by governmental or intergovernmental organizations, 2) allow for the evaluation of individual food items, and 3) have publicly available nutritional criteria. A total of 387 potential NP models were identified, including n = 361 from the full-text assessment of >600 publications and n = 26 exclusively from the catalog. Seventy-eight models were included. Most (73%) were introduced within the past 10 y, and 44% represent adaptations of ≥1 previously built model. Models were primarily built for school food standards or guidelines (n = 27), food labeling (e.g., front-of-pack; n = 12), and restriction of the marketing of food products to children (n = 10). All models consider nutrients to limit, with sodium, saturated fatty acids, and total sugars being included most frequently; and 86% also consider ≥1 nutrient to encourage (e.g., fiber). No information on validity testing could be identified for 58% of the models. Given the proliferation of NP models worldwide, this new resource will be highly valuable for assisting health professionals and policymakers in the selection of an appropriate model when the establishment of nutrition-related policies requires the use of nutrient profiling.

Nutrient content claims, health claims, and front-of-pack symbols (henceforth referred to as &ldquo;nutrition claims&rdquo; in the present study) are often found on food labels in Canada. However, it is currently unknown whether foods and beverages (F&Bs) carrying nutrition claims have a more favourable nutritional profile than those without such claims. This study examined differences in the global nutritional quality, as determined by the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (FSANZ-NPSC), of Canadian F&B bearing nutrition claims as compared to those without, as well as in their nutritional composition. Data ( n = 15,184) was obtained from the University of Toronto 2013 Food Label Information Program. Forty-two percent of F&Bs carrying nutrition claims ( n = 2930/6990) were found to be ineligible to carry claims based on the FSANZ-NPSC, in comparison to 66% of F&Bs without ( n = 5401/8194, p < 0.001). Sugars and sweets, and miscellaneous products were the food categories with larger proportions of foods carrying nutrition claims not meeting the FSANZ-NPSC eligibility criteria. F&Bs with nutrition claims had fewer calories, less saturated fat, sodium, and sugar, and higher content of protein and fibre than comparable products without nutrition claims ( p < 0.05 in all cases). In conclusion, nearly half of F&Bs carrying nutrition claims in Canada did not meet the FSANZ-NPSC threshold, although Canadian products carrying nutrition claims have an overall &ldquo;healthier&rdquo; profile than their counterparts without such claims.

Regulatory changes in Canada will require food labels to have a benchmark [% Daily Value, %DV] for total sugars, based on 100 g/day, while US labels will require a %DV for added sugars, based on 50 g/day. The objective of this study was to compare two labelling policies, a total sugars DV (100 g/day) and a free sugars DV (50 g/day) on food labels. This cross-sectional analysis of the Food Label Information Program database focussed on top sources of total sugars intake in Canada (n = 6924 foods). Products were categorized as "less healthy" using two sets of criteria: a) free sugars levels exceeding the WHO guidelines (≥10% energy from free sugars); and b) exceeding healthfulness cut-offs of the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (FSANZ-NPSC). The proportion of "less healthy" products with ≥15%DV (defined as "a lot" of sugars i.e. high in sugars, based on Health Canada's %DV labelling footnote and educational message for dietary guidance) were compared for each sugar labelling scenario. The free sugars DV showed better alignment with both methods for assessing "healthfulness" than the total sugars DV. The free sugars DV identified a greater proportion of "less healthy" foods with ≥15%DV, based on both the FSANZ-NPSC (70% vs. 45%, p < .0001) and WHO guidelines (82% vs. 55%, p < .0001); particularly in sweet baked goods, sugars and preserves, chocolate bars, confectionery, and frozen desserts categories. Compared to total sugars DV labelling, using a free sugars DV identified more "less healthy" foods. Findings support the adoption of free sugars labelling., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: The Canadian government recently committed to introduce legislation to restrict the commercial marketing of unhealthy foods and beverages to children. Objective: We compared the degree of strictness and agreement between nutrient profile (NP) models relevant to marketing restrictions by applying them in the Canadian context. Design: With the use of data from the University of Toronto 2013 Food Label Information Program ( n = 15,342 prepackaged foods), 4 NP models were evaluated: the Food Standards Australia New Zealand-Nutrient Profiling Scoring Criterion (FSANZ-NPSC), the WHO Regional Office for Europe (EURO) model, the Pan American Health Organization (PAHO) model, and a modified version of the PAHO model (Modified-PAHO), which did not consider the extent of food processing because the application of this characteristic was prone to ambiguity. The number and proportion of foods that would be eligible for marketing to children was calculated with the use of each model, overall and by food category. Results: The Modified-PAHO and PAHO models would permit only 9.8% (95% CI: 9.4%, 10.3%) and 15.8% (95% CI: 15.3%, 16.4%) of foods, respectively, followed by the EURO model [29.8% (95% CI: 29.0%, 30.5%)]. In contrast, the FSANZ-NPSC would consider almost half of prepackaged foods as eligible for marketing to children [49.0% (95% CI: 48.2%, 49.8%)]. Cross-classification analyses showed that only 8.1% of foods would be eligible based on all models (e.g., most pastas without sauce). Subanalyses showed that each model would be more stringent when evaluating food items that specifically target children on their package ( n = 747; from 1.9% of foods eligible under Modified-PAHO to 24.2% under FSANZ-NPSC). Conclusions: The degree of strictness and agreement vary greatly between NP models applicable to marketing restrictions. The discrepancies between models highlight the importance for policy makers to carefully evaluate the characteristics underlying such models when trying to identify a suitable model to underpin regulations restricting the marketing of unhealthy foods to children., (© 2017 American Society for Nutrition.)

The objective of this study was to evaluate differences in calories, nutrient content, overall healthfulness, and use of sweetener ingredients between products with and without sugar claims. Consumers assume products with sugar claims are healthier and lower in calories. It is therefore important claims be found on comparatively healthier items. This study is a cross-sectional analysis of the University of Toronto's 2013 Food Label Database. Subcategories where at least 5% of products (and n ≥ 5) carried a sugar claim were included (n = 3048). Differences in median calorie content, nutrient content, and overall healthfulness, using the Food Standards Australia/New Zealand Nutrient Profiling Scoring criterion, between products with and without sugar claims, were determined. Proportion of products with and without claims that had excess free sugar levels (≥10% of calories from free sugar) and that contained sweeteners was also determined. Almost half (48%) of products with sugar claims contained excess free sugar, and a greater proportion contained sweeteners than products without such claims (30% vs 5%, χ 2 = 338.6, p < 0.0001). Overall, products with sugar claims were "healthier" and had lower median calorie, free sugar, total sugar, and sodium contents than products without claims. At the subcategory level, reductions in free sugar contents were not always met with similar reductions in calorie contents. This study highlights concerns with regards to the nutritional composition of products bearing sugar claims. Findings can support educational messaging to assist consumer interpretation of sugar claims and can inform changes in nutrition policies, for example, permitting sugar claims only on products with calorie reductions and without excess free sugar.

Background: In 2010, nutrition claims were investigated in Canadian foods; however, many nutrition and other claims have been introduced since then. This study aimed to determine: i) the proportion of foods carrying claims in 2013, ii) the types and prevalence of nutrition claims (nutrient content claims, health claims, general health claims) and other claims displayed on labels in 2013, iii) and trends in use of nutrition claims between 2010 and 2013., Methods: Repeated cross-sectional analysis of the University of Toronto Food Label Information Program (FLIP) of Canadian foods (2010/11 n  = 10,487; 2013 n  = 15,342). Regulated nutrition claims (nutrient content, health claims) were classified according to Canadian regulations. A decision tree was used to classify non-regulated general health claims (e.g., front-of-pack claims). Other claims (e.g., gluten-free) were also collected. Proportions of claims in 2013 were determined and χ 2 was used to test significant differences for different types of claims between 2010 and 2013., Results: Overall, 49% of products in 2013 displayed any type of claim and 46% of foods in FLIP 2013 carried a nutrition claim (nutrient content claim, health claim, general health claim). Meal replacements and fruits/fruits juices were the categories with the largest proportion of foods with claims. At least one approved nutrient content claim was carried on 42.9% of products compared to 45.5% in 2010 ( p  < 0.001). Health claims, specifically disease risk reduction claims, were slightly lower in 2013 (1.5%) compared to 1.7% in 2010 ( p  = 0.225). General health claims, specifically front-of-pack claims, were carried on 20% of foods compared to 18.9% in 2010 ( p  = 0.020). Other claims, specifically gluten-free, were present on 7.3% of foods., Conclusions: Nutrition and other claims were used on half of Canadian prepackaged foods in 2013. Many claims guidelines and regulations have been released since 2010; however, little impact has been seen in the prevalence of such claims in the food supply. Claims related to nutrients of public health priority, such as sugars and sodium, were not commonly used on food labels. Monitoring trends in the use of nutrition and other claims is essential to determine if their use on food labels reflects public health objectives, or instead are being used as marketing tools., Competing Interests: Competing interestsBefore coming to the University of Toronto, Beatriz Franco-Arellano was a PepsiCo employee (2009 - Aug 2015). The company had no connection with the research. The rest of the authors have no conflicts., (© The Author(s). 2017.)

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Probiotic food products contain a variety of different bacterial strains and may offer different health effects. The objective was to document the prevalence and dosage of probiotic strains in the Canadian food supply and to review the literature investigating these strains in order to understand what health benefits these products may offer. The Food Label Information Program was used to identify probiotic-containing products in the food supply. PubMed, Web of Science, and Embase were searched for randomized controlled trials that tested the health effects of these strains in humans. There were six probiotic strains/strain combinations identified in the food supply. Thirty-one studies investigated these strains and found that they are associated with decreased diarrhea and constipation, improved digestive symptoms, glycemic control, antioxidant status, blood lipids, oral health, and infant breastfeeding outcomes, as well as enhanced immunity and support for Helicobacter pylori eradication. There were a limited number of studies investigating these strains. Many studies were funded by the food industry and tested dosages that were up to twenty-five times the dosage found in most food products. Probiotic food products could have health benefits not currently reported on their labels. However, many dosages are too low to provide the benefits demonstrated in clinical trials. Further research is needed to enable more effective use of these functional foods.