Consistency of the Initial and Updated Version of the Nutri-Score with Food-Based Dietary Guidelines: A French Perspective.

BACKGROUND: To help consumers to make healthier food choices, 7 European countries have implemented the front-of-pack nutrition label Nutri-Score. The algorithm was updated in 2022-2023 by the Nutri-Score European scientific committee, based on the current scientific knowledge. OBJECTIVES: The aim of this study was to investigate the consistency of the newly internationally developed algorithm with the French food-based dietary guidelines (FBDG) and compare the respective performances of the initial and updated algorithm. METHODS: Three complementary French food composition databases were used to access extensive coverage of the food supply in France (n = 46,752): the Oqali, OpenFoodFacts, and CIQUAL databases. Based on the French FBDG, a list of 41 criteria was defined by which the consistency between French FBDG and the Nutri-Score was assessed (eg, consumption of fresh vegetables is promoted in FBDG, thus the Nutri-Score should rate favorably such products). RESULTS: Of all criteria, the initial algorithm met 63% (26/41) of them, whereas the revised algorithm met 85% (35/41) of them. Improvements achieved by the updated version of the Nutri-Score in alignment with the FBDG were particularly observed for high-fat products (ie, fatty fish, nuts, and seeds), sweet products (ie, ice creams and sweet spreads), salty products (ie, savory snacks and salted nuts), dairy beverages, and beverages with artificial sweeteners. CONCLUSIONS: The Nutri-Score's updated nutrient profiling system appears to rate foods more consistently regarding the French dietary guidelines and improved the currently existing system. This work supports the implementation of the updated nutrient profiling system underlying Nutri-Score.

Aligning front-of-pack labelling with dietary guidelines: including whole grains in the health star rating.

PURPOSE: Front-of-pack labelling systems, such as the Health Star Rating (HSR), aim to aid healthy consumer dietary choices and complement national dietary guidelines. Dietary guidelines aim to be holistic by extending beyond the individual nutrients of food, including other food components that indicate diet quality, including whole grains. We aimed to test the feasibility of including whole grains in the HSR algorithm, to better inform dietary guidance in Australia coherent with existing dietary guidelines. METHODS: We assigned whole-grain points as a favourable component of the HSR based on the whole-grain content of foods. We compared the original, and three modified HSR algorithms (including altered thresholds for star ratings) using independent-samples median tests. Finally, we used Spearman's correlation to measure the strength of association between an item's nutritional composition (all components of the HSR algorithm including all favourable and unfavourable components) and their HSR using each algorithm. RESULTS: Up to 10 points were added for products with ≥ 50% whole-grain content, with no points for products with < 25%. Adjusting the HSR score cut-off by 3 points for grain products created the greatest difference in median HSR between refined and whole-grain items (up to 2 stars difference), compared to the original algorithm (a maximum of 1 star). CONCLUSIONS: The addition of whole grains to the HSR algorithm improved the differentiation of refined and whole-grain items, and therefore better aligned with dietary guidelines. Holistic approaches to food guidance systems are required to provide consistent messaging and inform positive food choices.

Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification.

OBJECTIVE: To compare the initial and the updated versions of the front-of-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level. DESIGN: Using the OpenFoodFacts database - 129,950 food products - we assessed the complementarity between the Nutri-Score (initial and updated) with the NOVA classification through a correspondence analysis. Contingency tables between the two classification systems were used. SETTINGS: The food offer in France. PARTICIPANTS: Not applicable. RESULTS: With both versions (i.e. initial and updated) of the Nutri-Score, the majority of ultra-processed products received medium to poor Nutri-Score ratings (between 77·9 % and 87·5 % of ultra-processed products depending on the version of the algorithm). Overall, the update of the Nutri-Score algorithm led to a reduction in the number of products rated A and B and an increase in the number of products rated D or E for all NOVA categories, with unprocessed foods being the least impacted (-3·8 percentage points (-5·2 %) rated A or B and +1·3 percentage points (+12·9 %) rated D or E) and ultra-processed foods the most impacted (-9·8 percentage points (-43·4 %) rated A or B and +7·8 percentage points (+14·1 %) rated D or E). Among ultra-processed foods rated favourably with the initial Nutri-Score, artificially sweetened beverages, sweetened plant-based drinks and bread products were the most penalised categories by the revision of Nutri-Score while low-sugar flavoured waters, fruit and legume preparations were the least affected. CONCLUSION: These results indicate that the update of the Nutri-Score reinforces its coherence with the NOVA classification, even though both systems measure two distinct health dimensions at the food level.

Food Compass Score predicts incident cardiovascular disease: The ATTICA cohort study (2002-2022).

BACKGROUND: The Food Compass Score (FCS) is a novel nutrient profiling system, which evaluates food and diet quality. The present study aimed to prospectively assess the relationship of FCS with short-term (10 years) and long-term (20 years) cardiovascular disease (CVD) incidence and to explore whether this relationship is modified by long-term adherence to a Mediterranean type diet (MTD). METHODS: Volunteers of the ATTICA cohort study, with complete data for the calculation of FCS and incident CVD were included (n = 759). Development of CVD was determined at 10 and 20 years after baseline. Dietary intake was assessed through a validated food frequency questionnaire. The FCS was calculated for each participant based on the published algorithm. Long-term adherence to a MTD was evaluated through MedDietScore. RESULTS: FCS was inversely associated with CVD incidence (hazard ratio [HR] for 20-year follow-up = 0.97, 95% confidence interval [CI] = 0.95-0.99; HR for 10-year follow-up = 0.98, 95% CI = 0.96-1.01) in the total sample, as well as in those with a high baseline adherence to a MTD (HR for 20-year follow-up = 0.96, 95% CI = 0.93-0.99; HR for 10-year follow-up = 0.98, 95% CI = 0.95-1.02). FCS was also inversely associated with CVD risk in those who went away from the MTD (HR = 0.97, 95% CI = 0.96-0.99). CONCLUSIONS: FCS, a novel tool for assessing overall diet quality, was also found to be useful in identifying potential CVD candidates in a long-term period, even in populations with good background dietary habits, such as those following a MTD.

Commercially-produced infant and toddler foods-How healthy are they? An evaluation of products sold in Australian supermarkets.

In response to the need for better guidance and regulation for commercially produced infant and toddler foods and beverages, the WHO Regional Office for Europe published a Nutrient and Promotion Profile Model (hereafter NPPM) in 2022. This study assessed the nutritional and promotional profile of infant and toddler foods (for ages 6-36 months) sold in Australian supermarkets in 2022 using the NPPM. The main types of claims used for product promotion were also examined and results were presented by category and by packaging type. Nutrient and claims data were extracted for commercially produced infant and toddler products from The George Institute's FoodSwitch database. Products were classified according to NPPM food categories and assessed against relevant nutritional and promotional requirements. Of the 309 products examined, 78% failed to meet the nutritional requirements of the NPPM, and 0% met the promotional requirements. Every product had at least one claim on-pack that was prohibited under the NPPM, with some products displaying up to 21 different claims on-pack. Pouches had the highest number of prohibited claims of all packaging types. Findings highlight that urgent work is needed to improve the nutritional quality of commercially produced infant and toddler foods in Australia. The high use of prohibited claims also suggests the need to regulate the type and number of claims that can be made on-pack, as parents and carers could easily be misled by the deceptive labelling that is currently allowed to be displayed.

[Evaluation of nutritional value of common cooked food in Hubei Province by nutrient profiling].

OBJECTIVE: To understand the nutritional components of common cooked foods in Hubei Province. METHODS: Forty-nine common cooked foods consumed by residents in Hubei Province were collected, and their edible parts were homogenized and tested for various nutrient contents according to the national standard method. The nutrient-rich foods index(NRF)model was used to calculate the NRF index(NRF 9.3) of various cooked foods, and the nutritional value of common cooked foods in Hubei Province was evaluated. RESULTS: The result of the nutrient-rich food index model showed that the NRF 9.3 index of all cooked dishes ranged from-176.9 to 224.4, the NRF 9.3 index ranking of all types of cooked food was mainly related to cooking method. The NRF 9.3 index of cold mixed vegetable dishes was generally higher than the 75th percentile value(66.9) of the monitoring result, indicating higher nutritional value. The mean NRF 9.3 index of fish and shrimp cooked foods(72.4)monitored in this study was higher than that of meat cooked foods(21.5). The sodium content of pickled vegetables and some pre-packaged cooked foods was relatively high, RESULTS: ing in negative NRF 9.3 index and lower nutritional value. The NRF 9.3 index of Xiangyang beef noodles(33.1)and tofu noodles(37.1)was higher than that of beef offal noodles(5.1). CONCLUSION: Vegetables and fish and shrimp are better sources of nutrition, and "cold and dressed with sauce" are a better way to cook. Pickled vegetables contain too many restricted nutrients, and their consumption frequency and amount should be reduced.

Limitations of the Food Compass Nutrient Profiling System.

Nutrient Profiling Systems provide frameworks to assess the healthfulness of foods based on food composition and are intended as inputs into strategies to improve diets. Many Nutrient Profiling Systems are founded on a reductionist assumption that the healthfulness of foods is determined by the sum of their individual nutrients, with no consideration for the extent and purpose of processing and its health implications. A novel Nutrient Profiling System called Food Compass attempted to address existing gaps and provide a more holistic assessment of the healthfulness of foods. We propose that the chosen algorithm is not well justified and produces results that fail to discriminate for common shortfall nutrients, exaggerate the risks associated with animal-source foods, and underestimate the risks associated with ultraprocessed foods. We caution against the use of Food Compass in its current form to inform consumer choices, policies, programs, industry reformulations, and investment decisions.

Toward a More Climate-Sustainable Diet: Possible Deleterious Impacts on Health When Diet Quality Is Ignored.

BACKGROUND: Nutritional quality, and health and climate impacts are important considerations in the design of sustainable diets. OBJECTIVES: To investigate the association between diets varying in nutrient density and climate impact and MI and stroke HRs. METHODS: Dietary data of 41,194 women and 39,141 men (35-65 y) who participated in a Swedish population-based cohort study were employed. Nutrient density was calculated using the Sweden-adapted Nutrient Rich Foods 11.3 index. Dietary climate impact was calculated with data from life cycle assessments, including greenhouse gas emissions from primary production to industry gate. HRs and 95% CIs for MI and stroke were assessed with multivariable Cox proportional hazards regression, comparing a least-desirable diet scenario reference group (lower nutrient density, higher climate impact) with three diet groups that varied with respect to higher/lower nutrient density and higher/lower climate impact. RESULTS: Median follow-up time from the baseline study visit to MI or stroke diagnosis was 15.7 y for women and 12.8 y for men. The MI hazard was significantly higher for the men with diets of lower nutrient density and lower climate impact (HR: 1.19; 95% CI: 1.06, 1.33; P = 0.004), compared with the reference group. No significant association with MI was observed for any of the diet groups of women. No significant association with stroke was observed among any of the diet groups of women or men. CONCLUSIONS: The results among men suggest some adverse health effects for men when diet quality is not considered in the pursuit of more climate-sustainable diets. For women, no significant associations were detected. The mechanism underlying this association for men needs further investigation.

How does the updated Nutri-Score discriminate and classify the nutritional quality of foods in a Norwegian setting?

BACKGROUND: The Nutri-Score is a candidate for the harmonized mandatory front-of-pack nutrition label enabling consumers in the European Union to make healthier food choices. Nutri-Score classifies foods (including beverages) from A (high nutritional quality) to E (low nutritional quality) based on the foods' qualifying and disqualifying components. We aimed to evaluate the updated Nutri-Score for foods (2022) and beverages (2023) in a Norwegian setting by exploring its ability to discriminate the nutritional quality of foods within categories. Additionally, we assessed Nutri-Scores' ability to classify foods in accordance with the Norwegian food-based dietary guidelines (FBDGs). METHODS: The updated Nutri-Score was calculated for 1,782 foods in a Norwegian food database. The discriminatory ability of the updated Nutri-Score was considered by exploring the distribution of Nutri-Score within categories of foods using boxplots and frequency tables, and by examining which qualifying and disqualifying components that contributed most to the Nutri-Score class. Accordance with the Norwegian FBDGs was assessed by exploring Nutri-Score for foods specifically mentioned in the guidelines. RESULTS: Overall, the updated Nutri-Score seemed to discriminate the nutritional quality of foods within categories, in a Norwegian setting. The foods' content of salt and the beverages' content of sugar were components contributing the most to Nutri-Scores' discriminatory ability. Furthermore, in most cases the updated Nutri-Score classified foods in accordance with the Norwegian FBDGs. However, there were minor inconsistencies in how Nutri-Score classified certain foods, such as the inabilities to discriminate between full-fat and low-fat/leaner cheeses, cremes and processed meats (sausages), and between whole grain and refined pasta/rice. CONCLUSIONS: We observed an overall acceptable discriminatory performance of the updated Nutri-Score in a Norwegian setting and in most cases the updated Nutri-Score classified foods in accordance with the Norwegian FBDGs. However, minor inconsistencies were observed. Together with the FBDGs, the updated Nutri-Score could be a useful tool in guiding consumers towards healthier food choices in Norway, but consumer evaluations are warranted to fully assess the performance of the updated Nutri-Score in a Norwegian context.

Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods.

The Thumbs food classification system was developed to assist remote Australian communities to identify food healthiness. This study aimed to assess: (1) the Thumbs system's alignment to two other food classification systems, the Health Star Rating (HSR) and the Northern Territory School Canteens Guidelines (NTSCG); (2) its accuracy in classifying 'unhealthy' (contributing to discretionary energy and added sugars) and 'healthy' products against HSR and NTSCG; (3) areas for optimisation. Food and beverage products sold between 05/2018 and 05/2019 in fifty-one remote stores were classified in each system. System alignment was assessed by cross-tabulating percentages of products, discretionary energy and added sugars sold assigned to the same healthiness levels across the systems. The system/s capturing the highest percentage of discretionary energy and added sugars sold in 'unhealthy' products and the lowest levels in 'healthy' products were considered the best performing. Cohen's κ was used to assess agreement between the Thumbs system and the NTSCG for classifying products as healthy. The Thumbs system classified product healthiness in line with the HSR and NTSCG, with Cohen's κ showing moderate agreement between the Thumbs system and the NTSCG (κ = 0·60). The Thumbs system captured the most discretionary energy sold (92·2 %) and added sugar sold (90·6 %) in unhealthy products and the least discretionary energy sold (0 %) in healthy products. Modifications to optimise the Thumbs system include aligning several food categories to the NTSCG criteria and addressing core/discretionary classification discrepancies of fruit juice/drinks. The Thumbs system offers a classification algorithm that could strengthen the HSR system.

Cross-sectional comparisons of dietary indexes underlying nutrition labels: nutri-score, Canadian 'high in' labels and Diabetes Canada Clinical Practices (DCCP).

PURPOSE: To assess the cross-sectional association between dietary indexes (DI) that underlie, respectively, the Nutri-score (NS), the proposed Canadian 'High In' Symbol (CHIL) and the Diabetes Canada Clinical Practice Guidelines (DCCP) with food consumption, nutrient intakes and metabolic markers. METHODS: 1836 adults (18-74 years) participating in the representative ESTEBAN study, conducted in mainland France in 2014-2016, were included in the analysis. Food consumption was assessed with three repeated 24 h dietary recalls. Anthropometric measurements and biomarkers of metabolic risk (cholesterol-total, LDL (Low Density Lipoprotein), HDL (High Density Lipoprotein)-triglycerides, glucose) were obtained through a clinical examination and fasting blood draw. The DI were assessed for their association with food consumption, dietary intakes and metabolic biomarkers as quintiles and continuous variables using multi-adjusted linear regression. Heathier diets were assigned to lower scores. RESULTS: Correlations between scores ranged from + 0.62 between CHIL-DI and NS-DI to + 0.75 between NS-DI and DCCP-DI. All DIs discriminated individuals according to the nutritional quality of their diets through food consumption and nutrient intakes (healthier diets were associated with lower intakes of energy, added sugars and saturated fat; and with higher intakes of fiber, vitamins and minerals). NS-DI was associated with blood glucose (adjusted mean in Q1 = 5 vs. Q5 = 5.46 mmol/dl, ptrend = 0.001) and DCCP-DI was associated with BMI (Q1 = 24.8 kg/m2 vs. Q5 = 25.8 kg/m2, ptrend = 0.025), while CHIL showed no significant association with any anthropometric measures or biomarkers. CONCLUSIONS: This study provides elements supporting the validity of the nutrient profiling systems underlying front-of-package nutrition labellings (FOPLs) to characterize the healthiness of diets.

An integrative analytical framework to identify healthy, impactful, and equitable foods: a case study on 100% orange juice.

To identify healthy, impactful, and equitable foods, we combined health scores from six diverse nutrient profiling systems (NPS) into a meta-framework (meta-NPS) and paired this with dietary guideline adherence assessment via multilevel regression and poststratification. In a case-study format, a commonly debated beverage formulation - 100% orange juice (OJ) - was chosen to showcase the utility and depth of our framework, systematically scoring high across multiple food systems (i.e. a Meta-Score percentile = 93rd and Stability percentile = 75th) and leading to an expected increase of US dietary fruit guideline adherence by ∼10%. Moreover, the increased adherence varies across the 300 sociodemographic strata, with the benefit patterns being sensitive to absolute or relative quantification of the difference of adherence affected by OJ. In sum, the adaptable, integrative framework we established deepens the science of nutrient profiling and dietary guideline adherence assessment while shedding light on the nuances of defining equitable health effects.

[Development and validation of the nutrient-rich food index for China].

OBJECTIVE: To select the nutrient-rich food(NRF) index applicable to the food characteristics of Chinese residents through population-based dietary quality validation. METHODS: Sixteen NRF indices were constructed based on the Chinese Food Composition Table and the Chinese Food Labelling Nutrient Reference Values, using 100 g as the base amount of food for calculation. The NRF indices were validated by the China Prime Diet Quality Score(CPDQS), a dietary quality assessment index, using food intake data collected from 14 068 adult residents in 15 provinces in 2018 under the China Health and Nutrition Survey. The CPDQS was used as the dependent variable and the dietary NRF index score was used as the independent variable. The multiple linear regression models were performed after adjusting the covariates and the NRF index with the largest coefficient of determination R~2 was used as the most appropriate index. RESULTS: Regression analysis showed that the R~2 of NRF8.2 index was the largest, which was 0.16. Dried legumes, fungi and algae, nuts, vegetables, eggs and aquatic products scored higher on the NRF8.2 index. The high scoring subgroups had higher average daily intakes of cereals and potatoes, vegetables, fruits, soybeans and nuts, dairy, eggs and aquatic products, as well as lower consumption of livestock and poultry meat, beverages, salt and cooking oil, compared to the low scoring subgroup on the Dietary NRF8.2 Index. In terms of nutrient intake, the medium and high NRF8.2 subgroups had relatively high intakes of energy, protein, vitamins and minerals and relatively low intakes of fat and sodium. CONCLUSION: The NRF8.2 index explains the maximum variation in CPDQS and is a relatively suitable NRF index for the Chinese population.

Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains.

PURPOSE: Whole grains, generally recognised as healthy choices, are not included in most nutrient profiling systems. We tested modifications to the Nutri-Score algorithm to determine whether including whole grains would provide an improved measure of food, and overall diet quality. METHODS: The whole-grain content of food, with a minimum cut-point of 25%, was added to the algorithm, following similar methods used to score other health-promoting components such as fibre. We applied and compared the original and the modified Nutri-Score to food composition and dietary intake data from Australia, France, the United Kingdom, and the United States. RESULTS: At the food level, correlations between whole-grain content and food nutritional score were strengthened using the modified algorithm in Australian data, but less so for the other countries. Improvements were greater in grain-specific food groups. The largest shift in Nutri-Score class was from B to A (best score). At the dietary intake level, whole-diet nutritional scores for individuals were calculated and compared against population-specific diet-quality scores. With modifications, correlations with diet-quality scores were improved slightly, suggesting that the modified score better aligns with national dietary guidelines. An inverse linear relationship between whole-diet nutritional score and whole-grain intake was evident, particularly with modifications (lower whole-diet nutritional score indicative of better diet quality). CONCLUSION: Including a whole-grain component in the Nutri-Score algorithm is justified to align with dietary guidelines and better reflect whole grain as a contributor to improved dietary quality. Further research is required to test alternative algorithms and potentially other nutrient profiling systems.

Evaluating intake levels of nutrients linked to non-communicable diseases in Australia using the novel combination of food processing and nutrient profiling metrics of the PAHO Nutrient Profile Model.

PURPOSE: To investigate intake levels of nutrients linked to non-communicable diseases in Australia using the novel combination of food processing and nutrient profiling metrics of the PAHO Nutrient Profile Model. METHODS: Dietary intakes of 12,153 participants from the Australian Health Survey (2011-12) aged 2 + years were evaluated. Food items reported during a 24 h recall were classified using the NOVA system. The Pan-American Health Organization Nutrient Profile Model (PAHO NPM) was applied to identify processed and ultra-processed products with excessive content of critical nutrients. Differences in mean intakes and prevalence of excessive intakes of critical nutrients for groups of the population whose diets were made up of products with and without excessive content in critical nutrients were examined. RESULTS: The majority of Australians consumed daily at least three processed and ultra-processed products identified as excessive in critical nutrients according to the PAHO NPM. Individuals consuming these products had higher intakes of free sugars (ß = 8.9), total fats (ß = 11.0), saturated fats (ß = 4.6), trans fats (ß = 0.2), and sodium (ß = 1788 for adolescents and adults; ß = 1769 for children 5-10 years; ß = 1319 for children aged < 5 years) (p ≤ 0.001 for all nutrients) than individuals not consuming these foods. The prevalence of excessive intake of all critical nutrients also followed the same trend. CONCLUSION: The PAHO NPM has shown to be a relevant tool to predict intake levels of nutrients linked to non-communicable diseases in Australia and, therefore, could be used to inform policy actions aimed at increasing the healthiness of food environments.

Applying and comparing various nutrient profiling models against the packaged food supply in South Africa.

OBJECTIVE: This study aimed to apply the newly developed Chile Adjusted Model (CAM) nutrient profiling model (NPM) to the food supply in South Africa (SA) and compare its performance against existing NPMs as an indication of suitability for use to underpin food policies targeted at discouraging consumption of products high in nutrients associated with poor health. DESIGN: Cross-sectional analysis of the SA packaged food supply comparing the CAM to three other NPMs: SA health and nutrition claims (SA HNC), Chilean warning octagon (CWO) 2019, and Pan-American Health Organization (PAHO) NPM. SETTING: The SA packaged food supply based on products stocked by supermarkets in Cape Town, SA. PARTICIPANTS: Packaged foods and beverages (N=6474) available in 2018 were analyzed. RESULTS: 49% of products contained excessive amounts of nutrients of concern (considered non-compliant) according to the criteria of all four models. Only 10.9% of products were not excessive in any nutrients of concern (considered compliant) according to all NPMs evaluated. The CAM had an overall non-compliance level of 73.2%, and was comparable to the CWO 2019 for foods (71.2% and 71.1% respectively). The CAM was the strictest NPM for beverages (80.4%) due to the criteria of non-sugar sweeteners and free sugars. The SA HNC was the most lenient with non-compliance at 52.9%. This was largely due to the inclusion of nutrients to encourage, which is a criterion for this NPM. CONCLUSION: For the purpose of discouraging products high in nutrients associated with poor health in SA, the CAM is a suitable NPM.

Consumption of foods with the Keyhole front-of-pack nutrition label: potential impact on energy and nutrient intakes of Swedish adolescents.

OBJECTIVE: The Keyhole is an internationally recognised front-of-pack nutrition label, guiding consumers to healthier food options. It indicates products in accordance with specific criteria for dietary fats, sugars, fibres, salt and wholegrains. The objective of this study was to simulate the potential impact of the Keyhole on adolescents' energy and nutrient intakes by modelling a shift from reported food intakes to foods meeting the Keyhole criteria. DESIGN: Self-reported dietary intake data were derived from a cross-sectional survey. Multiple replacement scenarios were calculated, where foods meeting the Keyhole criteria replaced reported non-compliant foods with varying proportions of replacement. SETTING: Dietary survey 'Riksmaten Adolescents 2016-2017' in schools across Sweden. PARTICIPANTS: A nationally representative sample of 3099 adolescents in school years 5, 8 and 11 (55 % girls). RESULTS: Overall, replacement with foods meeting the Keyhole criteria led to more adolescents meeting nutrition recommendations. Largest median intake improvements were seen for wholegrains (+196 %), SFA (-13 %), PUFA (+17 %) and fibres (+15 %). Smallest improvements were seen for free sugars (-3 %) and salt (-2 %), partly explained by the ineligibility of main food sources of free sugars for the Keyhole, and non-inclusion of ready meals that are often high in salt. Most micronutrient intakes were stable or improved. Unintentional effects included decreases in vitamin A, MUFA and energy intakes. Largest potential improvements in fat and fibre sources were observed in the youngest age group. CONCLUSIONS: A shift to Keyhole alternatives for everyday foods would improve adolescents' nutrient intakes, even with smaller exchanges.

Validation of the nutrient-rich foods index estimated by 24-h dietary recall method among adults in Henan province of China.

OBJECTIVE: A family of nutrient-rich food (NRF) indices was validated against the mean adequacy ratio (MAR) and their associations with obesity were tested. DESIGN: Cross-sectional study. NRF indices include nutrients to encourage ranging from 6-11 (protein; fibre; vitamin A, vitamin C, vitamin E and vitamin B12; Ca; Fe; K; Mg; Zn) and two nutrients to limit (saturated fat and Na), described as NRFn.2 (where n 6-11), based on reference amount of 100 g or 100 kcal using the NRF index family of algorithms. The percentage of variation in MAR (R2) was the criteria of index performance. Logistic regression models were applied to predict the association between NRF index and obesity. SETTING: Three communities in Zhengzhou city, Henan province, China. PARTICIPANTS: A total of 656 adults were recruited from Henan as the subjects. RESULTS: The NRF9·2 index, based on nine beneficial nutrients and two nutrients to limit, using the algorithm based on sums and 100 kcal, had the higher R2 values (R2 = 0·232). The OR for overweight (defined by BMI) in the 4th quartile (Q4) v. the 1st quartile (Q1) of the NRF9·2 index was 0·61 (95 % CI = 0·37, 0·98) after multiple adjustments. CONCLUSION: NRF9·2 index using the algorithm based on sums and 100 kcal gave the best predicted model for diet quality. NRF9·2 index score was associated with overweight defined by BMI, but it was not associated with central obesity. The NRF9·2 index is a valid tool to assess the overall diet quality among adults in Henan province of China.

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

OBJECTIVE: 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. DESIGN: Cross-sectional descriptive study. SETTING: Pilestredet and Kjeller campus of OsloMet (Norway). PARTICIPANTS: 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. RESULTS: 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. CONCLUSIONS: 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.

Nutrient profiles of commercially produced complementary foods available in Cambodia, Indonesia and the Philippines.

OBJECTIVE: To assess the nutritional suitability of commercially produced complementary foods (CPCF) marketed in three South-East Asian contexts. DESIGN: Based on label information declared on the products, nutrient composition and content of CPCF were assessed against the WHO Europe nutrient profile model (NPM). The proportion of CPCF that would require a 'high sugar' warning was also determined. SETTING: Khsach Kandal district, Cambodia; Bandung City, Indonesia; and National Capital Region, Philippines. PARTICIPANTS: CPCF products purchased in Cambodia (n 68) and Philippines (n 211) in 2020, and Indonesia (n 211) in 2017. RESULTS: Only 4·4 % of products in Cambodia, 10·0 % of products in Indonesia and 37·0 % of products in the Philippines fully complied with relevant WHO Europe NPM nutrient composition requirements. Sixteen per cent of CPCF in Cambodia, 27·0 % in Indonesia and 58·8 % in the Philippines contained total sugar content levels that would require a 'high sugar' warning. CONCLUSIONS: Most of the analysed CPCF were not nutritionally suitable to be promoted for older infants and young children based on their nutrient profiles, with many containing high levels of sugar and sodium. Therefore, it is crucial to introduce new policies, regulations and standards to limit the promotion of inappropriate CPCF in the South-East Asia region.