scholarly journals Comparison of nutrient profiling models for assessing the nutritional quality of foods: a validation study

2018 ◽  
Vol 120 (5) ◽  
pp. 567-582 ◽  
Author(s):  
Theresa Poon ◽  
Marie-Ève Labonté ◽  
Christine Mulligan ◽  
Mavra Ahmed ◽  
Kacie M. Dickinson ◽  
...  
Keyword(s):  
Convergent Validity ◽  
Trend Test ◽  
Food Label ◽  
Food Category ◽  
Nutrient Profiling ◽  
Information Program ◽  
Label Information ◽  
Armitage Trend Test ◽  
Using Data

AbstractNutrient profiling (NP) is a method for evaluating the healthfulness of foods. Although many NP models exist, most have not been validated. This study aimed to examine the content and construct/convergent validity of five models from different regions: Australia/New Zealand (FSANZ), France (Nutri-Score), Canada (HCST), Europe (EURO) and Americas (PAHO). Using data from the 2013 UofT Food Label Information Program (n15342 foods/beverages), construct/convergent validity was assessed by comparing the classifications of foods determined by each model to a previously validated model, which served as the reference (Ofcom). The parameters assessed included associations (Cochran–Armitage trend test), agreement (κ statistic) and discordant classifications (McNemar’s test). Analyses were conducted across all foods and by food category. On the basis of the nutrients/components considered by each model, all models exhibited moderate content validity. Although positive associations were observed between each model and Ofcom (all Ptrend<0·001), agreement with Ofcom was ‘near perfect’ for FSANZ (κ=0·89) and Nutri-Score (κ=0·83), ‘moderate’ for EURO (κ=0·54) and ‘fair’ for PAHO (κ=0·28) and HCST (κ=0·26). There were discordant classifications with Ofcom for 5·3 % (FSANZ), 8·3 % (Nutri-Score), 22·0 % (EURO), 33·4 % (PAHO) and 37·0 % (HCST) of foods (all P<0·001). Construct/convergent validity was confirmed between FSANZ and Nutri-Score v. Ofcom, and to a lesser extent between EURO v. Ofcom. Numerous incongruencies with Ofcom were identified for HCST and PAHO, which highlights the importance of examining classifications across food categories, the level at which differences between models become apparent. These results may be informative for regulators seeking to adapt and validate existing models for use in country-specific applications.

Progress towards eliminating industrially produced trans-fatty acids in the Canadian marketplace, 2013–2017

2020 ◽  
Vol 23 (13) ◽  
pp. 2257-2267 ◽  
Author(s):  
Beatriz Franco-Arellano ◽  
JoAnne Arcand ◽  
Min Ah Kim ◽  
Alyssa Schermel ◽  
Mary R L’Abbé
Keyword(s):  
Fats And Oils ◽  
Cross Sectional Study ◽  
Food Label ◽  
Food Category ◽  
Cross Sectional ◽  
Information Program ◽  
Hydrogenated Oils ◽  
Label Information ◽  
The Mean ◽  
Total Fat

AbstractObjective: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.

scholarly journals Methodology for the Determination of Fruit, Vegetable, Nut and Legume Points for Food Supplies without Quantitative Ingredient Declarations and Its Application to a Large Canadian Packaged Food and Beverage Database

Foods ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1127
Author(s):  
Laura Vergeer ◽  
Mavra Ahmed ◽  
Beatriz Franco-Arellano ◽  
Christine Mulligan ◽  
Kacie Dickinson ◽  
...  
Keyword(s):  
Food Label ◽  
Food Category ◽  
University Of Toronto ◽  
Information Program ◽  
Food And Beverage ◽  
Label Information ◽  
Packaged Foods ◽  
Packaged Food ◽  
The University

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.

scholarly journals The Level of Processing, Nutritional Composition and Prices of Canadian Packaged Foods and Beverages with and without Gluten-Free Claims

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1183
Author(s):  
Laura Vergeer ◽  
Beatriz Franco-Arellano ◽  
Gabriel B. Tjong ◽  
Jodi T. Bernstein ◽  
Mary R. L’Abbé
Keyword(s):  
Linear Models ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Gluten Free ◽  
Food Label ◽  
Nutrient Contents ◽  
Logistic Regression Models ◽  
University Of Toronto ◽  
Information Program ◽  
Label Information

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.

scholarly journals The Health Canada Surveillance Tool could be an effective method for assessing alignment with 2019 Canada's Food Guide

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Christine Mulligan ◽  
Beatriz Franco-Arellano ◽  
Mary R L'Abbe
Keyword(s):  
Saturated Fat ◽  
Dietary Guidelines ◽  
Food Label ◽  
Food Category ◽  
Total N ◽  
University Of Toronto ◽  
Label Information ◽  
Total Fat ◽  
Health Canada ◽  
Kappa Agreement

AbstractThe Health Canada Surveillance Tool (HCST), a Canadian nutrient profile (NP) model, assesses products’ adherence to the 2007 Canada's Food Guide (CFG), using thresholds for total fat, saturated fat, sugars and sodium. In 2019, new dietary guidelines were published (i.e., CFG 2019); however; the HCST has not been updated to reflect changes implemented in this new guide. Given suggestions to adapt previously validated NP models rather than create new models, this research aimed to assess whether the HCST could be a useful tool to assess alignment with updated dietary guidance. Specifically, the objective of this study was to test the agreement between products’ alignment with the CFG 2007 (as per the HCST) and products’ alignment with the recently released CFG 2019 guidelines. This study analyzed data from the University of Toronto Food Label Information Program (FLIP) 2017 database. FLIP contains label and nutrition information for prepackaged food products from top Canadian grocery retailers. Products were categorized into Tiers based on HCST thresholds: Tiers 1 and 2 were considered “in line” with dietary guidance, while Tiers 3, 4 and “Other” (i.e. foods not addressed by CFG) were considered “not in line”. Two raters independently classified foods according to their alignment to CFG 2019. Proportions of products that were considered “in line” with CFG 2007 and 2019 were calculated. Overall agreement between alignment with CFG 2007 and 2019 was determined by cross-classifications of the proportion of products considered “in line” or “not in line” with both CFG versions. Cohen's Kappa (κ) statistic tested the level of agreement (Interpretation of κ: 0.01–0.20, “slight”; 0.21–0.40, “fair”; 0.41–0.60, “moderate”; 0.61–0.80, “substantial”; and 0.81–0.99, “almost perfect”). Analyses were conducted overall and by Health Canada's Table of Reference Amounts for Food category. In total, n = 16,973 products were analyzed, with 98% inter-rater reliability for CFG 2019 alignment. Overall, 30.2% and 28.2% of products were “in line” with CFG 2007 and 2019, respectively, with 80.4% overall agreement and “moderate” kappa agreement (κ [95% CI]: 0.49 [0.46, 0.49]). Overall agreement in individual food categories ranged from 100% (Dessert Toppings, Sauces, Sugars and Sweets; κ: N/A) to 54.8% (Eggs, κ: 0.21 [-0.01, 0.4]). From these results, the HCST appears to be an effective NP model for assessing alignment with CFG 2019. Further analysis could elucidate specific areas for adaptation of the HCST to optimize its functionality in this context.

scholarly journals Evaluating the Canadian Packaged Food Supply Using Health Canada’s Proposed Nutrient Criteria for Restricting Food and Beverage Marketing to Children

2020 ◽  
Vol 17 (4) ◽  
pp. 1250 ◽  
Author(s):  
Christine Mulligan ◽  
Anthea K. Christoforou ◽  
Laura Vergeer ◽  
Jodi T. Bernstein ◽  
Mary R. L’Abbé
Keyword(s):  
Food Label ◽  
Nutrient Criteria ◽  
Product Packaging ◽  
Policy Proposal ◽  
University Of Toronto ◽  
Information Program ◽  
Food And Beverage ◽  
National Public Health ◽  
Label Information ◽  
Packaged Food

Federally mandated restrictions on food and beverage marketing to kids (M2K) have been re-introduced as a national public health priority in Canada by the newly elected government, following the failure to implement a similar policy first proposed in 2016. This study examined the extent to which Canadian packaged foods, including products already displaying M2K on the packaging, would be permitted to be marketed, based on the nutrient criteria for marketing restrictions defined by Health Canada (in December 2018) as part of the previous policy proposal. Products from the University of Toronto Food Label Information Program 2013 database (n = 15,200) were evaluated using Health Canada’s published criteria: thresholds for sodium, sugars and saturated fats that products cannot exceed in order to be M2K. The proportion of products exceeding no thresholds (i.e., permitted to be M2K), the number of thresholds exceeded, and the proportion exceeding each individual threshold were calculated overall and in the subsample of products displaying M2K on the packaging (n = 747). Overall, 18.0% of products would be permitted to be M2K, versus 2.7% of products displaying M2K. Sodium was the most exceeded threshold overall (57.5% of products), whereas sugars was the most exceeded by products displaying M2K (80.1%). Only 4.7% of all products versus 10.4% of products displaying M2K exceeded all three thresholds. These results highlight the importance of reintroducing federal regulations restricting M2K in Canada and including marketing on product packaging in the regulatory scope.

Comparing how Canadian packaged food products align with the 2007 and 2019 versions of Canada’s Food Guide

2021 ◽  
Author(s):  
Christine Mulligan ◽  
Beatriz Franco-Arellano ◽  
Mavra Ahmed ◽  
Laura Vergeer ◽  
Kacie M Dickinson ◽  
...  
Keyword(s):  
Food Label ◽  
Nutrient Profile ◽  
Profile Model ◽  
Information Program ◽  
Food And Beverage ◽  
Label Information ◽  
Packaged Foods ◽  
Packaged Food ◽  
Health Canada ◽  
Future Work

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%, (X2 =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 Bullets: -A food-based nutrient profile model was developed based on the 2019 Canada’s Food Guide (CFG) and tested on packaged foods by comparing it to the nutrient-based Health Canada Surveillance Tool (HCST), based on CFG 2007. -Most (82%) packaged products were “not in line” with either CFG version.

scholarly journals Examining the nutritional quality of the product portfolios of major packaged food and beverage companies in Canada

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Laura Vergeer ◽  
Mavra Ahmed ◽  
Lana Vanderlee ◽  
Mary L'Abbé
Keyword(s):  
Food Supply ◽  
Nutritional Quality ◽  
Soft Drink ◽  
Saturated Fat ◽  
Food Label ◽  
Food Category ◽  
Food And Beverage ◽  
Packaged Food ◽  
Product Portfolios

AbstractCanada's food supply is abundant in energy-dense products containing excess amounts of sodium, saturated fat and free sugars, increasing Canadians' risk of developing obesity and non-communicable diseases. Food companies shape the food supply through their control over the formulation of their products; however, no studies have examined the healthfulness of products offered by different companies in Canada. This study aimed to assess and compare the nutritional quality of the product portfolios of major packaged food and beverage companies in Canada. Twenty-two top food companies were selected for study, representing a combined 50% and 73% of Canadian packaged food and beverage sales in 2018, respectively. This included 18 multinational companies, 2 Canadian manufacturers and 2 retailers with private-label brands. Nutritional information for products was sourced from the University of Toronto Food Label Information Program 2017 database. The nutritional quality of all products offered by the sampled companies that were included in the database (n = 8,211) were evaluated using the Health Star Rating (HSR) system, with HSRs ranging from 0.5 (less healthy) to 5 (healthier). Descriptive analyses and analysis of variance with post-hoc tests examined the HSRs of each company's products overall and by food category (n = 24). Mean HSRs of companies’ overall product portfolios ranged from 1.8 to 3.7 (μx̅ = 2.7, σx̅ = 0.5) and differed significantly between companies (p < 0.001). Mean HSRs differed between companies for all food categories except eggs (p = 0.5), seafood (p = 0.2), legumes (p = 0.1), nuts and seeds (p = 0.4), and vegetables (p = 0.08). Variation in mean HSRs of products offered by different companies was greatest for beverages (range = 1.3–5.0, μx̅ = 2.0, σx̅ = 1.0), fats/oils (range = 0.7–4.4, μx̅ = 3.6, σx̅ = 1.6), fruit/fruit juices (range = 0.8–4.0, μx̅ = 2.6, σx̅ = 0.9), and sauces/dips/gravies/condiments (range = 0.5–3.4, μx̅ = 2.3, σx̅ = 1.0). These findings demonstrate that the nutritional quality of products offered by leading food manufacturers in Canada varies significantly overall and by food category, with many of these products considered less healthy according to the HSR system. Differences between companies may reflect the nature of their products; for example, products offered by dairy companies were healthier than those of confectionary and soft drink manufacturers, on average. Variation in nutritional quality within food categories illustrates the need and potential for many companies to improve the healthfulness of their products. By identifying companies that offer less healthy products compared with others in Canada, this study may prompt reformulation.

scholarly journals Role of different nutrient profiling models in identifying targeted foods for front-of-package food labelling in Brazil

2020 ◽  
pp. 1-12
Author(s):  
Ana Clara Duran ◽  
Camila Zancheta Ricardo ◽  
Laís Amaral Mais ◽  
Ana Paula Bortoletto Martins
Keyword(s):  
Warning Labels ◽  
Food Category ◽  
Nutrient Profiling ◽  
Food Retailers ◽  
Canned Vegetables ◽  
Packaged Foods ◽  
Using Data ◽  
Health Organization ◽  
Critical Nutrients

Abstract Objective: To compare the degree of strictness and agreement of different nutrient profiling models (NPM) used to identify which foods would be required to show front-of-package (FOP) warning labels. Design: Using data of 11 434 packaged foods found in the five largest food retailers in Brazil, we used two published NPM: the Pan American Health Organization (PAHO) model and the NPM used in the Chilean nutritional FOP labelling policy, and compared them with a NPM proposed by the Brazilian National Health Surveillance Agency (Anvisa). The proportion of foods that would be required to show FOP warning labels was calculated overall and by food category. We also tested whether a modified version of the PAHO NPM would behave similarly to the original version. Setting: Brazil. Results: Two-thirds of the packaged products (62 %) would receive FOP warning labels under the PAHO NPM, as compared with 45 % of products using the proposed Anvisa NPM and 41 % if the Chilean NPM was applied. The PAHO NPM identified more foods high in critical nutrients such as sweetened dairy and non-dairy beverages, canned vegetables and convenience foods. Overall agreement between models was considered good with kappa coefficient ranging from 0·57 to 0·92 but was lower for some food categories. Conclusions: We found variations in the degree of strictness and agreement between assessed NPM. The PAHO NPM identified more foods and beverages high in sugar which are among the top contributors to sugar and energy intake in Brazil.

Effect of networks on product innovation: empirical evidence from Indonesian SMEs

2013 ◽  
Vol 1 (2) ◽  
pp. 140-158 ◽  
Author(s):  
Nurul Indarti ◽  
Theo Postma
Keyword(s):  
Empirical Evidence ◽  
Product Innovation ◽  
Dynamic Effects ◽  
Depth Of Knowledge ◽  
External Knowledge ◽  
Software Firms ◽  
Using Data

Innovative companies generally establish linkages with other actors and access external knowledge in order to benefit from the dynamic effects of interactive processes. Using data from 198 furniture and software firms in Indonesia, this study shows that the quality of interaction (i.e. multiplexity) as indicated by the depth of knowledge absorbed from various external parties and intensity of interaction (i.e., tie intensity) are better predictors of product innovation than the diversity of interaction.

Translation and Validation of the Thai Version of the Wisconsin Quality of Life Questionnaire (TH WISQoL) for Kidney Stone Patients

2020 ◽  
Vol 103 (11) ◽  
pp. 1194-1199
Keyword(s):  
Quality Of Life ◽  
Internal Consistency ◽  
Kidney Stone ◽  
Convergent Validity ◽  
Large Scale ◽  
Short Form ◽  
Outcome Measurement ◽  
Life Questionnaire ◽  
Sf 36

Objective: To develop and validate a Thai version of the Wisconsin Quality of Life (TH WISQoL) Questionnaire. Materials and Methods: The authors developed the TH WISQoL Questionnaire based on a standard multi-step process. Subsequently, the authors recruited patients with kidney stone and requested them to complete the TH WISQoL and a validated Thai version of the 36-Item Short Form Survey (TH SF-36). The authors calculated the internal consistency and interdomain correlation of TH WISQoL and compared the convergent validity between the two instruments. Results: Thirty kidney stone patients completed the TH WISQoL and the TH SF-36. The TH WISQoL showed acceptable internal consistency for all domains (Cronbach’s alpha 0.768 to 0.909). Interdomain correlation was high for most domains (r=0.698 to 0.779), except for the correlation between Vitality and Disease domains, which showed a moderate correlation (r=0.575). For convergent validity, TH WISQoL demonstrated a good overall correlation to TH SF-36, (r=0.796, p<0.05). Conclusion: The TH WISQoL is valid and reliable for evaluating the quality of life of Thai patients with kidney stone. A further large-scale multi-center study is warranted to confirm its applicability in Thailand. Keywords: Quality of life, Kidney stone, Validation, Outcome measurement

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