Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study

The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults

BACKGROUND AND AIMS

Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses.

METHODS

This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses.

RESULTS

In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = -0.030, p = 0.045).

CONCLUSIONS

A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.

Less Favorable Nutri-Score Consumption Ratings Are Prospectively Associated with Abdominal Obesity in Older Adults

Nutri-Score is a front-of-package (FOP) labeling designed to assist consumers in selecting healthier options at the point of purchase and ultimately enhance their health. This study aims to evaluate the association between the Nutri-Score system and incident abdominal obesity (AO) in community-dwelling older adults. A prospective cohort of 628 individuals aged ≥ 60 were recruited in Spain between 2008-2010 and were reexamined between 2015-2017. Dietary intake was evaluated utilizing a validated computerized dietary history. Food was categorized based on the Nutri-Score system into five levels from A (green, representing the best quality) to E (red, representing the poorest quality). A five-color Nutri-Score dietary index (5-CNS DI) in g/day/kg was calculated for each participant. AO was determined by a waist circumference (WC) of ≥102 cm for men and ≥88 cm for women. Logistic regression models were adjusted for the main potential confounders. During a mean six-year follow-up, 184 incident cases of AO occurred. The odds ratio (OR) and 95% confidence interval (CI) for AO, when comparing the highest and lowest quartiles of the 5-CNS DI, were 2.45 (1.17-5.14), with a p-value for trend of 0.035. In sensitivity analyses, the OR was 2.59 (1.22-5.52, p-trend: 0.032) after adjustment for WC at baseline, and 1.75 (0.74-4.18, p-trend: 0.316) after adjustment for ultra-processed food consumption. In conclusion, less favorable food-consumption ratings in the Nutri-Score are associated with incident AO in the elderly. These findings support the use of this FOP system to potentially improve metabolic health.

Dietary indices underpinning front-of-pack nutrition labels and health outcomes: a systematic review and meta-analysis of prospective cohort studies

BACKGROUND

Nutrient profiling systems are increasingly used to characterize the healthfulness of foods for front-of-package (FOP) labeling, which have been proposed as an effective public health strategy to help people make healthier food choices.

OBJECTIVE

This study aimed to review available evidence from cohort studies that evaluated the association of dietary indices underpinning FOP nutrition labels with all-cause mortality and incidence of cardiovascular diseases (CVDs) or cancer.

METHODS

PubMed, Web of Science, and Scopus were systematically searched up to October 2023. We included articles if they were prospective cohort studies, if the exposure was any dietary index underpinning FOP nutrition labels [e.g., the modified Food Standard Agency-Nutrient Profiling System (FSAm-NPS) and the Health Star Rating System], and if outcomes were all-cause mortality or incidence of or mortality due to CVD and cancer. Random-effects models were used to calculate the pooled hazard ratios (HRs) and 95% CIs.

RESULTS

We identified 11 records (7 unique prospective studies), which were included in the systematic review. The meta-analysis comprised 8 studies analyzing the FSAm-NPS dietary index (DI) as exposure. The pooled HRs associated with a 2-unit increase in the FSAm-NPS DI of all-cause mortality, CVD, and cancer risk were 1.06 (95% confidence interval [CI]: 0.99, 1.13; I2: 80%), 1.08 (95% CI: 1.00, 1.18; I2: 70%), and 1.09 (95% CI: 1.00, 1.19; I2: 77%), respectively. The Chilean Warning Label score and the Health Star Rating systems were examined by 1 study each and were significantly associated with the outcomes.

CONCLUSIONS

DIs underpinning most common FOP nutrition labels and reflecting nutrient-poor diets show a tendency toward an increased incidence of CVD and cancer, but the observed effects are quite modest in magnitude. Further studies at the population level are needed to support the widely shared hypothesis that FOP labels, possibly in conjunction with other interventions, may contribute to reduce noncommunicable disease risk. This meta-analysis was registered at PROSPERO as CRD42021292625.

Global, regional, and national burden and trends of early-onset tracheal, bronchus, and lung cancer from 1990 to 2019

BACKGROUND

Tracheal, bronchus, and lung cancer (TBL) is one of the main cancer health problems worldwide, but data on the burden and trends of early-onset tracheal, bronchus, and lung cancer (EO-TBL) are sparse. The aim of the present study was to provide the latest and the most comprehensive burden estimates of the EO-TBL cancer from 1990 to 2019.

METHODS

Overall, we used data from the Global Burden of Disease (GBD) study in EO-TBL cancer from 1990 to 2019. Evaluation metrics included incidence, mortality, and disability-adjusted life years (DALYs). The joinpoint regression model was used to analyze the temporal trends. Decomposition analysis was employed to analyze the driving factors for EO-TBL cancer burden alterations. Bayesian age-period-cohort (BAPC) analysis was used to estimate trends in the next 20 years.

RESULTS

The global age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR) for EO-TBL cancer decreased significantly from 3.95 (95% uncertainty interval [UI]: 3.70-4.24), 3.41 (95% UI: 3.19-3.67), 158.68 (95% UI: 148.04-170.92) in 1990 to 2.82 (95% UI: 2.54-3.09), 2.28 (95% UI: 2.07-2.49), 106.47 (95% UI: 96.83-116.51) in 2019 with average annual percent change (AAPC) of -1.14% (95% confidence interval [CI]: -1.32 to -0.95), -1.37% (95% CI: -1.55 to -1.18), and - 1.35% (95% CI: -1.54 to -1.15) separately. The high and high-middle sociodemographic index (SDI) region had a higher burden of EO-TBL cancer but demonstrated a downward trend. The most prominent and significant upward trends were Southeast and South Asia, Africa, and women in the low SDI and low-middle SDI quintiles. At the regional and national level, there were significant positive correlations between ASDR, ASIR, ASMR, and SDI. Decomposition analysis showed that population growth and aging have driven the increase in the number of incidence, mortality, and DALYs in the global population, especially among the middle SDI quintile and the East Asia region. The BAPC results showed that ASDR, ASIR, and ASMR in women would increase but the male population remained relatively flat over the next 20 years.

CONCLUSIONS

Although global efforts have been the most successful and effective in reducing the burden of EO-TBL cancer over the past three decades, there was strong regional and gender heterogeneity. EO-TBL cancer need more medical attention in the lower SDI quintiles and in the female population.

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.

Are advertising policies affirmative in restricting the marketing of foods high in fat, salt and sugar (HFSS) in India?: evidence from SWOT Analysis

The regulatory Indian environment for advertising high fat, salt, and sugar (HFSS) foods and non-alcoholic beverages, on various media was reviewed. Identified national-level policies were categorised as mandatory or self-regulatory based on legal content. For each mandatory regulation, Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis was undertaken to determine how existing policies could be strengthened to safeguard children from unhealthy food advertisements. Thirteen policies (nine mandatory; four self-regulatory) relevant to advertising in India were identified. Of the nine mandatory policies, Guidelines for Prevention of Misleading Advertisements and Endorsements for Misleading Advertisements, 2022, is the only policy that restricts HFSS food advertisements to children across all media. There are key shortfalls, including limited scope of 'child-targeted' advertisements and lack of criteria to define HFSS foods. A robust regulatory framework is needed to protect children from HFSS food marketing, not just what is 'directed' at them, with clear evidence-based food classification criteria.

Criterion validation of nutrient profiling systems: a systematic review and meta-analysis

BACKGROUND

Nutrient profiling systems (NPSs) use algorithms to evaluate the nutritional quality of foods and beverages. Criterion validation, which assesses the relationship between consuming foods rated as healthier by the NPS and objective measures of health, is essential to ensure the accuracy of NPSs.

OBJECTIVE

We examined and compared NPSs that have undergone criterion validity testing in relation to diet-related disease risk and risk markers.

METHODS

Academic databases were searched for prospective cohort and cross-sectional studies published before November, 2022. NPSs were eligible if they incorporated multiple nutrients or food components using an algorithm to determine an overall summary indicator (e.g., a score or rank) for individual foods. Studies were included if they assessed the criterion validity of an eligible NPS. Validation evidence was first summarized in narrative form by NPS, with random effects meta-analysis where ≥2 prospective cohort studies assessed the same NPS and outcomes.

RESULTS

Of 4519 publications identified, 29 describing 9 NPSs were included in the review. The Nutri-Score NPS was assessed as having substantial criterion validation evidence. Highest compared with lowest diet quality as defined by the Nutri-Score was associated with significantly lower risk of cardiovascular disease (hazard ratio [HR]: 0.74; 95% confidence interval [CI]: 0.59, 0.93; n = 6), cancer (HR: 0.75; 95% CI: 0.59, 0.94; n = 5), all-cause mortality (HR: 0.74; 95% CI; 0.59, 0.91; n = 4) and change in body mass index (HR: 0.68; 95% CI: 0.50, 0.92; n = 3). The Food Standards Agency NPS, Health Star Rating, Nutrient Profiling Scoring Criterion, Food Compass, Overall Nutrition Quality Index, and the Nutrient-Rich Food Index were determined as having intermediate criterion validation evidence. Two other NPSs were determined as having limited criterion validation evidence.

CONCLUSIONS

We found limited criterion validation studies compared with the number of NPSs estimated to exist. Greater emphasis on conducting and reporting on criterion validation studies across varied contexts may improve the confidence in existing NPSs.

Less favourable food consumption ratings in the Five-Color Nutri-Score are associated with incident frailty in older adults

BACKGROUND

The Nutri-Score front-of-package labelling classifies food products according to their nutritional quality, so healthier food choices are easier when shopping. This study prospectively assesses the association of a diet rated according to the Nutri-Score system and incident frailty in community-dwelling older adults.

METHODS

Cohort study with 1,875 individuals aged ≥60 recruited during 2008-2010 in Spain. At baseline, food consumption was assessed using a validated dietary history. Food was categorised into five Nutri-Score labels (A/green-best quality; B, C, D, E/red-worst quality) utilising an algorithm established in 2017 and currently in use. For each participant, a Five-Color Nutri-Score Dietary Index (5-CNS DI) in grams per day per kilogram was calculated. The 5-CNS DI sums up the grams per day of food consumed times their corresponding nutritional quality value (from A rated as 1 to E rated as 5) and divided by weight in kilograms. From baseline to December 2012, incident frailty was ascertained based on Fried's criteria. Statistical analyses were performed with logistic regression adjusted for main confounders.

RESULTS

After a mean follow-up of 3.5 years, 136 cases of frailty were identified. The multivariable-adjusted odds ratios (95% confidence interval) of incident frailty across increasing quartiles of the 5-CNS DI were 1, 1.51 (0.86-2.68), 1.56 (0.82-2.98) and 2.32 (1.12-4.79); P-trend = 0.033. The risk of frailty increased by 28% (3-58%) with a 10-unit increment in this dietary index. Similar results were found with the Nutri-Score algorithm modified in 2022.

CONCLUSIONS

consumption of a diet with less favourable Nutri-Score ratings doubles the risk of frailty among community-dwelling older adults.

A Little Bird Told Me… Nutri-Score Panoramas from a Flight over Europe, Connecting Science and Society

Within the Farm to Fork Strategy, the European Commission ask for a unified Front Of Pack nutritional label for food to be used at the European level. The scientific debate identified the Nutri-Score (NS) as the most promising candidate, but within the political discussion, some Member States brought to attention several issues related to its introduction. This misalignment led to a postponement of the final decision. With the aim to shed some light on the current stances and contribute to the forthcoming debate, the objective of the present work is to understand to what extent scientific research addresses the issues raised by the general public. We applied a structural topic model to tweets from four European countries (France, Germany, Italy, Spain) and to abstracts of scientific papers, all dealing with the NS topic. Different aspects of the NS debate are discussed in different countries, but scientific research, while addressing some of them (e.g., the comparison between NS and other labels), disregards others (e.g., relations between NS and traditional products). It is advisable, therefore, to widen the scope of NS research to properly address the concerns of European society and to provide policymakers with robust evidence to support their decisions.

Examining the diet quality of Canadian adults and the alignment of Canadian front-of-pack labelling regulations with other front-of-pack labelling systems and dietary guidelines

Introduction

Canada promulgated mandatory front-of-pack labelling (FOPL) regulations in 2022, requiring pre-packaged foods meeting and/or exceeding recommended thresholds for nutrients-of-concern (i.e., saturated fat, sodium, sugars) to display a "high-in" nutrition symbol. However, there is limited evidence on how Canadian FOPL (CAN-FOPL) regulations compare to other FOPL systems and dietary guidelines. Therefore, the objectives of the study were to examine the diet quality of Canadians using the CAN-FOPL dietary index system and its alignment with other FOPL systems and dietary guidelines.

Methods

Nationally representative dietary data from the 2015 Canadian Community Health Survey-Nutrition survey (n = 13,495) was assigned dietary index scores that underpin CAN-FOPL, Diabetes Canada Clinical Practice (DCCP) Guidelines, Nutri-score, Dietary Approaches to Stop Hypertension (DASH) and Canada's Food Guide (Healthy Eating Food Index-2019 [HEFI-2019]). Diet quality was examined by assessing linear trends of nutrient intakes across quintile groups of CAN-FOPL dietary index scores. The alignment of CAN-FOPL dietary index system compared with other dietary index systems, with HEFI as the reference standard, was examined using Pearson's correlations and к statistics.

Results

The mean [95% CI] dietary index scores (range: 0-100) for CAN-FOPL, DCCP, Nutri-score, DASH, and HEFI-2019 were 73.0 [72.8, 73.2], 64.2 [64.0, 64.3], 54.9 [54.7, 55.1], 51.7 [51.4, 51.9], and 54.3 [54.1, 54.6], respectively. Moving from the "least healthy" to the "most healthy" quintile in the CAN-FOPL dietary index system, intakes of protein, fiber, vitamin A, vitamin C, and potassium increased, while intakes of energy, saturated fat, total and free sugars, and sodium decreased. CAN-FOPL showed moderate association with DCCP (r = 0.545, p < 0.001), Nutri-score (r = 0.444, p < 0.001),  and HEFI-2019 (r = 0.401, p < 0.001), but poor association with DASH (r = 0.242, p < 0.001). Slight to fair agreement was seen between quintile combinations of CAN-FOPL and all dietary index scores (к = 0.05-0.38).

Discussion

Our findings show that CAN-FOPL rates the dietary quality of Canadian adults to be healthier than other systems. The disagreement between CAN-FOPL with other systems suggest a need to provide additional guidance to help Canadians select and consume 'healthier' options among foods that would not display a front-of-pack nutrition symbol.

Effect of a new graphically modified Nutri-Score on the objective understanding of foods' nutrient profile and ultraprocessing: a randomised controlled trial

Introduction

When considering health-related impacts of foods, nutrient profile and (ultra)processing are two complementary dimensions. The Nutri-Score informs on the nutrient profile dimension. Recently, mounting evidence linked ultraprocessed food consumption to various adverse health outcomes, independently of their nutrient profile. To inform consumers about each of these health-related dimensions of food, we tested, in a randomised controlled trial, if a graphically modified version 'Nutri-Score V.2.0', including a black 'ultraprocessed' banner, would improve the capacity of consumers to rank products according to their nutrient profile and to detect those ultra-processed, compared with a no-label situation.

Methods

21 159 participants included in the NutriNet-Santé web-cohort were randomly assigned to a control arm (no front-of-pack label) or an experimental arm (Nutri-Score 2.0) and were presented an online questionnaire with three sets of food products (cookies, breakfast cereals and ready-to-eat meals) to rank according to nutrient profile and to identify ultraprocessed foods. The primary outcome was objective understanding of nutrient profile and ultraprocessing, represented by a score of correct answers. Secondary outcomes were purchasing intentions and the healthiest-perceived product. Multinomial logistic regressions were performed.

Results

The Nutri-Score V.2.0 increased the objective understanding of both the nutrient profile dimension (OR highest vs lowest score category=29.0 (23.4-35.9), p<0.001) and the ultraprocessing dimension (OR=174.3 (151.4-200.5), p<0.001). Trends were similar for cookies, breakfast cereals and ready-to-eat meals. The Nutri-Score V.2.0 had a positive effect on purchasing intentions and on the products perceived as the healthiest.

Conclusion

This randomised controlled trial demonstrates the interest of a front-of-pack label combining the Nutri-Score (informing on the nutrient profile dimension) with an additional graphic mention, indicating when the food is ultraprocessed, compared with a no-label situation. Our results show that a combined label enabled participants to independently understand these two complementary dimensions of foods.

Trial registration number

NCT05610930.

Dietary Patterns and Risk of Lung Cancer: A Systematic Review and Meta-Analyses of Observational Studies

PURPOSE OF REVIEW

Previous literature reviews summarized the associations between individual foods or food groups and lung cancer risk, but the relationship between dietary patterns and lung cancer risk has received less attention. We conducted a systematic review and meta-analyses of observational studies on the associations between dietary patterns and lung cancer risk.

RECENT FINDINGS

PubMed, Embase, and Web of Science were systematically searched from inception to February 2023. Random-effects models were used to pool relative risks (RR) on associations with at least two studies. Twelve studies reported on data-driven dietary patterns, and 17 studies reported on a priori dietary patterns. A prudent dietary pattern (high in vegetables, fruit, fish, and white meat) tended to be associated with a lower risk of lung cancer (RR = 0.81, 95% confidence interval [CI] = 0.66-1.01, n = 5). In contrast, Western dietary patterns, characterized by higher intakes of refined grains and red and processed meat, were significantly positively associated with lung cancer (RR = 1.32, 95% CI = 1.08-1.60, n = 6). Healthy dietary scores were consistently associated with a lower risk of lung cancer (Healthy Eating Index [HEI]: RR = 0.87, 95% CI = 0.80-0.95, n = 4; Alternate HEI: RR = 0.88, 95% CI = 0.81-0.95, n = 4; Dietary Approaches to Stop Hypertension: RR = 0.87, 95% CI = 0.77-0.98, n = 4; Mediterranean diet: RR = 0.87, 95% CI = 0.81-0.93, n = 10) while the dietary inflammatory index was associated with a higher risk of lung cancer (RR = 1.14, 95% CI = 1.07-1.22, n = 6). Our systematic review indicates dietary patterns characterized by a higher intake of vegetables and fruits, a lower intake of animal products, and anti-inflammation may be associated with a reduced risk of lung cancer.

Nutri-Score: Its Benefits and Limitations in Children's Feeding

Reducing the burden of noncommunicable diseases (NCDs) is one of the top priorities of public health policies worldwide. One of the recognized means of achieving this objective is to improve the diet quality. The Nutri-Score (N-S) is a [five-color-A, B, C, D, E letters] front-of-pack labeling logo intended to help consumers quickly identify the healthier prepackaged foods within a food category. Available studies have shown that the N-S is an efficient tool to achieve this aim in terms of consumers' awareness, perception, understanding, and purchasing and that its use may help to reduce the prevalence of NCDs. The N-S is currently implemented on a voluntary basis in 7 European countries and a discussion is underway within the European Commission to achieve a harmonized mandatory label. However, no study on the putative impact of the N-S on children's dietary patterns and health is available. The N-S is not applicable to infants' and young children's formulas and to specific baby foods, the compositions of which are already laid down in European Union regulations. The N-S does not replace age-appropriate dietary guidelines. As children consume an increasing number of adult type and processed foods, the relevance of the N-S for children should be evaluated considering the children's high specific requirements, especially in younger children. This is especially necessary for fitting fat and iron requirements, whereas protein-rich foods should be better framed. Moreover, efforts should be made to inform on how to use the N-S and in education on healthy diets.

Respective contribution of ultra-processing and nutritional quality of foods to the overall diet quality: results from the NutriNet-Santé study

BACKGROUND

Both the nutritional quality of the foods consumed (as nutrient composition) and their ultra-processed nature have been linked to health risks. However, the respective contribution of each of these correlated dimensions or their synergy to the overall diet quality has been rarely explored.

OBJECTIVE

To identify the respective effects of the nutritional quality of the foods consumed, the ultra-processed nature of foods and their cross-effect contributing to the overall quality of the diet.

DESIGN

Cross-sectional observational study.

SETTING

Web-based French NutriNet-Santé cohort study.

PARTICIPANTS

Participants in the NutriNet-Santé cohort study with at least three available 24 h records as baseline dietary data (N = 98 454 participants).

MAIN OUTCOME MEASURES

The overall quality of the diet (qualified using the adherence to the 2017 French national nutrition and health dietary recommendations dietary score PNNS-GS2) was broken down into: (1) an effect of the nutritional quality of the foods consumed (qualified using the modified Foods Standards Agency nutrient profile model (underlying the Nutri-Score) dietary index FSAm-NPS DI); (2) an effect of the ultra-processed nature of the foods consumed (qualified using the proportion of ultra-processed foods consumed UPFp using the NOVA classification), and (3) a cross-effect of both dimensions.

RESULTS

The overall effect from the 'nutritional quality of the foods consumed' (FSAm-NPS DI) was 1.10, corresponding to 26% of the total effect; the overall effect from ultra-processed foods consumption was 1.29, corresponding to 30% of the total effect; and cross-effect between nutritional quality of the foods consumed and ultra-processing was at 1.91, corresponding to 44% of total effects.

CONCLUSIONS

Our study provides support to the postulate that nutritional quality and ultra-processing should be considered as two correlated but distinct and complementary dimensions of the diet.

Mapping the nutritional value of diets across Europe according to the Nutri-Score front-of-pack label

Background

Front-of-pack labels, such as Nutri-Score, aim to offer clear information on the overall nutritional quality of foods and beverages to consumers, allowing them to make healthier food choices. Using the European Food Safety Authority (EFSA) Comprehensive European Food Consumption Database, the present study aims to map out European food consumption patterns by applying the Nutri-Score as a benchmark for nutritional value.

Methods

Country-specific food consumption data, collected by multiple 24-h dietary recalls or food records available from EFSA, were linked to the Dutch Food Composition Database (NEVO). Foods and beverages consumed by adolescents (10-17 years), adults (18-64 years), and the elderly (65-74 years) were graded following the modified Food Standard Agency Nutrient Profiling System (FSAm-NPS) and classified according to Nutri-Score grading, from A to E. Subsequently, a dietary index score (FSAm-NPS-DI) was calculated for each country-specific diet by age-groups and sex as an energy-weighted mean of the FSAm-NPS score of all foods and beverages consumed, with lower scores for a diet of greater overall nutritional quality.

Results

On average, the daily energy intake of adults across the European countries studied is distributed in 27.6% of A-, 12.9% of B-, 17% of C-, 30.0% of D-, and 12.5% of E-classified foods and beverages. This energy distribution, according to the Nutri-Score, corresponded to a median FSAm-NPS-DI score of 6.34 (interquartile range: 5.92, 7.19). For both adult males and females, Estonia reported the highest energy share from A-classified products, scoring the lowest on the FSAm-NPS-DI. On the other hand, Latvia reported the highest energy share from E-classified products, along with the highest FSAm-NPS-DI. Females and the elderly group reported, in general, a greater energy share from A- and a lower share from E-classified products, and had the lowest FSAm-NPS-DI scores. No sex-related difference was observed for adolescents whose share of energy was predominantly from A- and D-classified products, such as for adults and the elderly.

Conclusion

Our analyses leveraging the secondary use of country-specific databases on dietary intakes found considerable variation in the nutritional value of European diets, with an overall agreement across all countries on a modestly healthier dietary profile for the elderly and among females.

Are Front-of-Pack Nutrition Labels Influencing Food Choices and Purchases, Diet Quality, and Modeled Health Outcomes? A Narrative Review of Four Systems

Front-of-Pack Nutrition labels (FOPNLs) aim to improve consumers' food purchases and prompt product reformulation by the food and beverage industry. Despite their widespread use, the effectiveness of FOPNL in achieving these goals is still a matter of debate. This review has gathered 65 original studies exploring the performances of four widely used FOPNLs (Multiple Traffic Light, Warning signs, Nutri-Score and Health Star Rating). Although FOPNLs have been associated with healthier food purchases, the magnitude of improvements was small and dependent on study settings. Any associated health effects were modeled rather than observed. None of the four FOPNLs clearly outperformed the other ones on any outcome. Few studies dealt with the impact of FOPNL on product reformulation. Some of those studies, but not all, found small reductions in energy, sodium, sugar and saturated fat content of foods in some food categories. Although global trends point to a small favorable effect of FOPNL, this conclusion is subject to caution since the evidence is inconsistent and comes from a wide variety of contexts and study designs. There remain numerous research gaps, notably with regard to the optimal characteristics of FOPNLs, the durability of FOPNL effects on consumer behaviors, and any possible unexpected consequences.

Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing

Background

Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, (3) Processed foods, and (4) "Ultra-processed" foods (UPF). The ability of the Nova classification to accurately characterise the degree of food processing across consumption patterns in various European populations has not been investigated so far. Therefore, we applied the Nova coding to data from the European Prospective Investigation into Cancer and Nutrition (EPIC) in order to characterize the degree of food processing in our diet across European populations with diverse cultural and socio-economic backgrounds and to validate this Nova classification through comparison with objective biomarker measurements.

Methods

After grouping foods in the EPIC dataset according to the Nova classification, a total of 476,768 participants in the EPIC cohort (71.5% women; mean age 51 [standard deviation (SD) 9.93]; median age 52 [percentile (p)25-p75: 58-66] years) were included in the cross-sectional analysis that characterised consumption patterns based on the Nova classification. The consumption of food products classified as different Nova categories were compared to relevant circulating biomarkers denoting food processing, measured in various subsamples (N between 417 and 9,460) within the EPIC cohort via (partial) correlation analyses (unadjusted and adjusted by sex, age, BMI and country). These biomarkers included an industrial transfatty acid (ITFA) isomer (elaidic acid; exogenous fatty acid generated during oil hydrogenation and heating) and urinary 4-methyl syringol sulfate (an indicator for the consumption of smoked food and a component of liquid smoke used in UPF).

Results

Contributions of UPF intake to the overall diet in % grams/day varied across countries from 7% (France) to 23% (Norway) and their contributions to overall % energy intake from 16% (Spain and Italy) to >45% (in the UK and Norway). Differences were also found between sociodemographic groups; participants in the highest fourth of UPF consumption tended to be younger, taller, less educated, current smokers, more physically active, have a higher reported intake of energy and lower reported intake of alcohol. The UPF pattern as defined based on the Nova classification (group 4;% kcal/day) was positively associated with blood levels of industrial elaidic acid (r = 0.54) and 4-methyl syringol sulfate (r = 0.43). Associations for the other 3 Nova groups with these food processing biomarkers were either inverse or non-significant (e.g., for unprocessed and minimally processed foods these correlations were -0.07 and -0.37 for elaidic acid and 4-methyl syringol sulfate, respectively).

Conclusion

These results, based on a large pan-European cohort, demonstrate sociodemographic and geographical differences in the consumption of UPF. Furthermore, these results suggest that the Nova classification can accurately capture consumption of UPF, reflected by stronger correlations with circulating levels of industrial elaidic acid and a syringol metabolite compared to diets high in minimally processed foods.

Alignment of Nutri-Score with Mediterranean Diet Pyramid: A Food Level Analysis

The Mediterranean diet (MD) has been incorporated as a healthy diet pattern in food-based dietary guidelines of countries all over Europe and the world. Testing the alignment of Nutri-Score with the MD Pyramid is a key step in ensuring that future food-level policies will not be conflicting with existing dietary guidelines. All foods available (n = 4002) in the HelTH database, were classified as eligible or not for inclusion in the MD and they were ranked in their respective tier in the food pyramid following two pyramid schemes, the 1995 traditional and 2020 sustainable MD pyramids. For all foods, Nutri-Score was calculated both as the continuous FSAm-NPS score and its categorical outcome-Nutri-Score grades-and their distribution across the MD pyramid tiers was used as a measure of alignment between the MD and the Nutri-Score algorithm. Only 25% of all foods were eligible under the traditional MD, while the sustainable MD covered ~58% of all foods. For both pyramids, Nutri-Score was successful in clearly separating the foods at the top and the bottom of the pyramids (Nutri-Score Mode "D" or "E" for the top tiers and "A" for the bottom tiers), thus suggesting a good alignment between the two. Good discriminatory capacity was also seen within each tier.

Validation of Food Compass with a healthy diet, cardiometabolic health, and mortality among U.S. adults, 1999-2018

The Food Compass is a nutrient profiling system (NPS) to characterize the healthfulness of diverse foods, beverages and meals. In a nationally representative cohort of 47,999 U.S. adults, we validated a person's individual Food Compass Score (i.FCS), ranging from 1 (least healthful) to 100 (most healthful) based on cumulative scores of items consumed, against: (a) the Healthy Eating Index (HEI) 2015; (b) clinical risk factors and health conditions; and (c) all-cause mortality. Nationally, the mean (SD) of i.FCS was 35.5 (10.9). i.FCS correlated highly with HEI-2015 (R = 0.81). After multivariable-adjustment, each one SD (10.9 point) higher i.FCS associated with more favorable BMI (-0.60 kg/m² [-0.70,-0.51]), systolic blood pressure (-0.69 mmHg [-0.91,-0.48]), diastolic blood pressure (-0.49 mmHg [-0.66,-0.32]), LDL-C (-2.01 mg/dl [-2.63,-1.40]), HDL-C (1.65 mg/d [1.44,1.85]), HbA1c (-0.02% [-0.03,-0.01]), and fasting plasma glucose (-0.44 mg/dL [-0.74,-0.15]); lower prevalence of metabolic syndrome (OR = 0.85 [0.82,0.88]), CVD (0.92 [0.88,0.96]), cancer (0.95 [0.91,0.99]), and lung disease (0.92 [0.88,0.96]); and higher prevalence of optimal cardiometabolic health (1.24 [1.16,1.32]). i.FCS also associated with lower all-cause mortality (HR = 0.93 [0.89,0.96]). Findings were similar by age, sex, race/ethnicity, education, income, and BMI. These findings support validity of Food Compass as a tool to guide public health and private sector strategies to identify and encourage healthier eating.

Mortality prediction of the nutrient profile of the Chilean front-of-pack warning labels: Results from the Seguimiento Universidad de Navarra prospective cohort study

Background and aims

Front-of-Pack (FoP) nutrition labelling has been established as a policy, empowering consumers to choose healthy food options for preventing diet-related non-communicable diseases. This study aimed to evaluate the association between the nutrient profile underlying the Chilean warning label score and all-cause mortality and to conduct a calibration with the Nutri-Score in a large cohort of Spanish university graduates.

Materials and methods

This prospective cohort study analysed 20,666 participants (8,068 men and 12,598 women) with a mean (standard deviation) age of 38 years (±12.4) from the SUN cohort. Dietary food intake was assessed by a validated semi-quantitative food-frequency questionnaire at baseline and after 10 years of follow-up. The warning label score was calculated by considering the threshold of nutrients (sugar, saturated fat, and sodium) and energy density per 100 g/ml of product, as established by Chilean Legislation. Participants were classified according to quartiles of consumption of daily label score: Q1 (≤5.0), Q2 (>5.0–7.1), Q3 (>7.1–9.8), and Q4 (>9.8). Time-dependent, multivariable-adjusted Cox models were applied. To compare the performance of the warning label score and Nutri-Score to predict mortality, we used the Akaike information criterion (AIC) and Bayesian information criterion (BIC) methods.

Results

During a median of 12.2 years of follow-up, 467 deaths were identified. A higher score in the warning label values (lower nutritional quality) was associated with an increased risk of all-cause mortality [HR (95% CI) Q4 vs. Q1: 1.51 (1.07–2.13); p-trend = 0.010] and cancer mortality [HR (95% CI) Q4 vs. Q1: 1.91 (1.18–3.10); p-trend = 0.006]. However, no statistically significant association was found for cardiovascular mortality. Furthermore, the warning label score and Nutri-Score exhibited comparable AIC and BIC values, showing similar power of prediction for mortality.

Conclusion

A diet with a higher warning label score (>9.8 per day) was a good predictor of all cases and cancer mortality in a large Spanish cohort of university graduates. Also, the warning label score was capable to predict mortality as well as the Nutri-Score. Our findings support the validity of the warning label score as a FoP nutrition labelling policy since it can highlight less healthy food products.

Effect of NUTRI-SCORE labeling on sales of food items in stores at sports and non-sports facilities

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Korean college students have inadequate daily caloric values.

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NUTRI-SCORE is an effective label for young consumers to choose healthy foods.

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An intervention has affected sales of B (relatively healthier grade) and C (middle quality grade) foods as in a sports-facility store.

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Grade E foods (bad nutritional quality) increased in a non-sports facility store.

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These findings reflect the characteristics of customers visiting stores.

NUTRI-SCORE is a front-of-pack labeling method that relies of the computation of a nutrient profiling system by reconstructing and presenting nutritional information about food items. In particular, different scores are assigned to harmful (energy, sugars, saturated fatty acids, and salt) and beneficial (proteins, fibers, fruits, vegetables, nuts, rapeseed oil, walnut oil, and olive oil) nutrients. These scores are combined to assign a final five different ‘NUTRI-SCORE’ to the food item from healthiest A to most harmful E. This study examined the effect of NUTRI-SCORE labeling on the sales of food items in stores at sports and non-sports facilities. The NUTRI-SCORE label was attached to the price tag of food items sold in two food stores of Seoul National University (sports-related and non-sports-related facilities) for 5 weeks. Baseline sales data from the previous 2 years were obtained from the food stores. The predicted data based on baseline sales were compared to the new sales data during the study period. The data trends were analyzed using interrupted time-series analysis, which showed significant group differences. In the sports-facility store, sales were higher for relatively healthy food items than for less-healthy food items. Conversely, mixed results were observed for sales in the non-sports-facility store. First, sales of Grade A foods decreased but sales of Grade B and Grade E foods increased. Therefore, the results imply that NUTRI-SCORE labeling positively affected sales of healthy foods only in the sports facilities because few people in non-sports facilities sought to purchase healthy foods. These results will help to improve the nutrition-related behavior of food consumers and point to the differences in cognitive consumption patterns between consumers at sports and non-sports facilities.

The Nutri-Score algorithm: Evaluation of its validation process

The Nutri-Score front-of-pack label, which classifies the nutritional quality of products in one of 5 classes (A to E), is one of the main candidates for standardized front-of-pack labeling in the EU. The algorithm underpinning the Nutri-Score label is derived from the Food Standard Agency (FSA) nutrient profile model, originally a binary model developed to regulate the marketing of foods to children in the UK. This review describes the development and validation process of the Nutri-Score algorithm. While the Nutri-Score label is one of the most studied front-of-pack labels in the EU, its validity and applicability in the European context is still undetermined. For several European countries, content validity (i.e., ability to rank foods according to healthfulness) has been evaluated. Studies showed Nutri-Score's ability to classify foods across the board of the total food supply, but did not show the actual healthfulness of products within different classes. Convergent validity (i.e., ability to categorize products in a similar way as other systems such as dietary guidelines) was assessed with the French dietary guidelines; further adaptations of the Nutri-Score algorithm seem needed to ensure alignment with food-based dietary guidelines across the EU. Predictive validity (i.e., ability to predict disease risk when applied to population dietary data) could be re-assessed after adaptations are made to the algorithm. Currently, seven countries have implemented or aim to implement Nutri-Score. These countries appointed an international scientific committee to evaluate Nutri-Score, its underlying algorithm and its applicability in a European context. With this review, we hope to contribute to the scientific and political discussions with respect to nutrition labeling in the EU.

An Evaluation of the Nutri-Score System along the Reasoning for Scientific Substantiation of Health Claims in the EU-A Narrative Review

In this narrative review, the scientific evidence in support of the front-of-pack label (FOPL) Nutri-Score system is evaluated along with the reasoning for scientific substantiation of health claims in the EU. A health claim could be phrased as ‘Nutri-Score as an FOPL system results in an increased purchase of healthier foods by consumers’. Peer-reviewed scientific literature as found in Pubmed under search terms ”NutriScore” and “Nutri-Score” that investigate the effects of the Nutri-Score on food purchases were evaluated. In total, eight papers were identified. Only three studies were conducted in real-life settings, and five were on online purchases. In the EU, health claims are evaluated by the European Food Safety Authority (EFSA). Considering the three basic questions that EFSA uses to evaluate scientific substantiation of health claims, it appears that the (i) food/constituent (the Nutri-Score system) is sufficiently defined/characterised, and (ii) the evidence is sufficient to appraise the system as ‘beneficial to human health’. However, the scientific evidence for a (iii) cause-and-effect relationship is contradictory and limited. In conclusion, based on the EFSA approach for substantiation of health claims, there is insufficient evidence to support a health claim based on the Nutri-Score system, since a cause-and-effect relationship could not be established.

Associations between the Nutrient Profiling System Underlying the Nutri-Score Nutrition Label and Biomarkers of Chronic Low-Grade Inflammation: A Cross-Sectional Analysis of a Middle- to Older-Aged Population

Low-grade systemic inflammation is associated with a range of conditions. Diet may modulate inflammation and public health strategies are needed to guide consumers’ dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study to date has examined FSAm-NPS dietary index associations with biomarkers of inflammation. Therefore, our objective was to test relationships between the FSAm-NPS and a range of inflammatory biomarkers in a cross-sectional sample of 2006 men and women aged 46–73 years. Individual participant FSAm-NPS scores were derived from food frequency questionnaires. Pro-inflammatory cytokine, adipocytokine, acute-phase response protein, coagulation factor and white blood cell count concentrations were determined. Correlation and linear regression analyses were used to examine FSAm-NPS relationships with biomarker levels. In crude and adjusted analyses, higher FSAm-NPS scores, reflecting poorer nutritional quality, were consistently and positively associated with biomarkers. In fully adjusted models, significant associations with concentrations of complement component 3, c-reactive protein, interleukin 6, tumour necrosis factor alpha, resistin, white blood cell count, neutrophils, eosinophils and the neutrophil-to-lymphocyte ratio persisted. These results suggest that dietary quality, determined by Nutri-Score rating, is associated with inflammatory biomarkers related to health.

Associations Between the Modified Food Standard Agency Nutrient Profiling System Dietary Index and Cardiovascular Risk Factors in an Elderly Population

Background

Helping consumers to improve the nutritional quality of their diet is a key public health action to prevent cardiovascular diseases (CVDs). The modified version of the Food Standard Agency Nutrient Profiling System Dietary Index (FSAm-NPS DI) underpinning the Nutri-Score front-of-pack label has been used in public health strategies to address the deleterious consequences of poor diets. This study aimed to assess the association between the FSAm-NPS DI and some CVD risk factors including body mass index (BMI), waist circumference, plasma glucose levels, triglyceride levels, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and diastolic and systolic blood pressure.

Materials and Methods

Dietary intake was assessed at baseline and after 1 year of follow-up using a 143-item validated semi-quantitative food-frequency questionnaire. Dietary indices based on FSAm-NPS applied at an individual level were computed to characterize the diet quality of 5,921 participants aged 55–75 years with overweight/obesity and metabolic syndrome from the PREDIMED-plus cohort. Associations between the FSAm-NPS DI and CVD risk factors were assessed using linear regression models.

Results

Compared to participants with a higher nutritional quality of diet (measured by a lower FSAm-NPS DI at baseline or a decrease in FSAm-NPS DI after 1 year), those participants with a lower nutritional quality of diet (higher FSAm-NPS DI or an increase in score) showed a significant increase in the levels of plasma glucose, triglycerides, diastolic blood pressure, BMI, and waist circumference (β coefficient [95% confidence interval]; P for trend) (1.67 [0.43, 2.90]; <0.001; 6.27 [2.46, 10.09]; <0.001; 0.56 [0.08, 1.05]; 0.001; 0.51 [0.41, 0.60]; <0.001; 1.19 [0.89, 1.50]; <0.001, respectively). No significant associations in relation to changes in HDL and LDL-cholesterol nor with systolic blood pressure were shown.

Conclusion

This prospective cohort study suggests that the consumption of food items with a higher FSAm-NPS DI is associated with increased levels of several major risk factors for CVD including adiposity, fasting plasma glucose, triglycerides, and diastolic blood pressure. However, results must be cautiously interpreted because no significant prospective associations were identified for critical CVD risk factors, such as HDL and LDL-cholesterol, and systolic blood pressure.

Clinical Application of the Food Compass Score: Positive Association to Mediterranean Diet Score, Health Star Rating System and an Early Eating Pattern in University Students

Nutrient profiling systems (NPS) assist consumers in food choices. Several scores based on NPS have been proposed, but data on their clinical application are lacking. The food compass score (FCS) is a newly developed NPS per 100 kcal (from 1 “least healthy” to 100 “most healthy”). We examined the correlations of FCS with other indices, food groups, and meal patterns. A total of 346 students of the University of the Peloponnese (269 women and 77 men) participated. Dietary habits were evaluated with a food frequency questionnaire, and FCS, health star rating score (HSR), and MedDietScore were computed. Meal and snack frequency consumption was reported. Principal component analysis revealed three meal patterns: “early eater” (breakfast, morning snack and afternoon snack), “medium eater” (lunch and dinner), and “late eater” (bedtime snack). Pearson partial correlations between ranked variables were used to test the correlation coefficients between FCS, other scores, and meal patterns, after adjustment for age, sex, BMI, and underreporting. FCS was positively correlated to HSR (rho = 0.761, p ≤ 0.001) in a multi-adjusted analysis. In the highest tertile of MedDietScore FCS was also positively correlated to MedDietScore (rho = 0.379, p < 0.001). The FCS was positively correlated with juices, high-fat dairy, vegetables, legumes, fruits, and olive oil and negatively correlated with sodas, alcoholic drinks, red meat, refined grains, sweets, fats other than olive oil, fast foods, and coffee. In addition, it related positively to the “early eater” pattern (rho = 0.207, p < 0.001). The FCS was associated with other quality indices and better nutritional habits, such as being an early eater.

Are Front-of-Pack Labels a Health Policy Tool?

To stem the increasing incidence of non-communicable diseases (NCDs) and obesity, front-of-pack labels (FOPLs) have been developed since 1989. Whereas several countries have already adopted one voluntarily, the European Community wants to harmonize an FOPL system that will be mandatory for all member states. The purpose of this narrative review is to describe what could be achieved or not by FOPLs, and to discuss if there is enough evidence to establish whether such labels are effective in modifying purchasing behavior, in directing individual dietary patterns towards a healthy and sustainable diet, and in reformulating food products by the food industry. Non-directive FOPLs, which are still under study, appear to be informative and well-accepted by consumers even if they require a cognitive effort. Conversely, directive FOPLs are supported by several studies, but they are mostly conducted in simulated scenarios and/or performed as retrospective studies. Nevertheless, directive FOPLs are rated as an intuitive tool, and they have demonstrated a high capacity to help consumers rank food products as more or less healthy. In conclusion, directive and non-directive FOPLs convey different messages. No FOPL individually can be considered exhaustive in relation to all the objectives outlined in this narrative review, and therefore, the development of a model synthesizing both messages is advisable. Many questions remain open, such as the possibility of reformulating pre-packaged products, how to deal with traditional products, and the impact on the incidence of NCDs and obesity. In the light of the complexity of factors that condition consumption choices and health, none of the current FOPLs can be considered a health policy tool on its own. The possibility of development remains open, but as the state of the art, these tools do not seem to be able to achieve all the European Community goals together. We can speculate that they could meet these goals only if they are integrated into a multi-tiered, structured health policy intervention.

Changes in household food and drink purchases following restrictions on the advertisement of high fat, salt, and sugar products across the Transport for London network: A controlled interrupted time series analysis

BACKGROUND

Restricting the advertisement of products with high fat, salt, and sugar (HFSS) content has been recommended as a policy tool to improve diet and tackle obesity, but the impact on HFSS purchasing is unknown. This study aimed to evaluate the impact of HFSS advertising restrictions, implemented across the London (UK) transport network in February 2019, on HFSS purchases.

METHODS AND FINDINGS

Over 5 million take-home food and drink purchases were recorded by 1,970 households (London [intervention], n = 977; North of England [control], n = 993) randomly selected from the Kantar Fast Moving Consumer Goods panel. The intervention and control samples were similar in household characteristics but had small differences in main food shopper sex, socioeconomic position, and body mass index. Using a controlled interrupted time series design, we estimated average weekly household purchases of energy and nutrients from HFSS products in the post-intervention period (44 weeks) compared to a counterfactual constructed from the control and pre-intervention (36 weeks) series. Energy purchased from HFSS products was 6.7% (1,001.0 kcal, 95% CI 456.0 to 1,546.0) lower among intervention households compared to the counterfactual. Relative reductions in purchases of fat (57.9 g, 95% CI 22.1 to 93.7), saturated fat (26.4 g, 95% CI 12.4 to 40.4), and sugar (80.7 g, 95% CI 41.4 to 120.1) from HFSS products were also observed. Energy from chocolate and confectionery purchases was 19.4% (317.9 kcal, 95% CI 200.0 to 435.8) lower among intervention households than for the counterfactual, with corresponding relative reductions in fat (13.1 g, 95% CI 7.5 to 18.8), saturated fat (8.7 g, 95% CI 5.7 to 11.7), sugar (41.4 g, 95% CI 27.4 to 55.4), and salt (0.2 g, 95% CI 0.1 to 0.2) purchased from chocolate and confectionery. Relative reductions are in the context of secular increases in HFSS purchases in both the intervention and control areas, so the policy was associated with attenuated growth of HFSS purchases rather than absolute reduction in HFSS purchases. Study limitations include the lack of out-of-home purchases in our analyses and not being able to assess the sustainability of observed changes beyond 44 weeks.

CONCLUSIONS

This study finds an association between the implementation of restrictions on outdoor HFSS advertising and relative reductions in energy, sugar, and fat purchased from HFSS products. These findings provide support for policies that restrict HFSS advertising as a tool to reduce purchases of HFSS products.

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 (β = 8.9), total fats (β = 11.0), saturated fats (β = 4.6), trans fats (β = 0.2), and sodium (β = 1788 for adolescents and adults; β = 1769 for children 5-10 years; β = 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.

Impact of the Front-of-Pack Label Nutri-Score on the Nutritional Quality of Food Choices in a Quasi-Experimental Trial in Catering

The front-of-pack labelling Nutri-Score has recently been implemented as a policy measure to improve the healthiness of food choices. The aim of this study was to investigate the impact of the Nutri-Score label in catering. A quasi-experimental trial was conducted in France between 16 December 2019 and 13 March 2020 in two staff restaurants (one intervention and one control site) from the same company. After a control period of seven weeks, the Nutri-Score label was affixed on all proposed products in the intervention site. Overall effects of the intervention were investigated using a difference in difference approach with generalised linear models. Over the 13 weeks of the study, 2063 participants who frequented the restaurant cafeteria at least once were included (1268 and 795 in the intervention and control site, respectively), representing 36,114 meals. Overall, the intervention led to a significant improvement in the nutritional quality of meals (p = 0.008) and a significant reduction in the intake of calories, sugars and saturated fat (p < 0.0001). Mixed effects models showed a qualitative improvement of food choices initially, and an adaptation of the quantities consumed over time, suggesting for the first time longer-term effects of the label on dietary behaviour.

Food Compass is a nutrient profiling system using expanded characteristics for assessing healthfulness of foods

Nutrient profiling systems (NPS) aim to discriminate the healthfulness of foods for front-of-package labelling, warning labels, taxation, company ratings and more. Existing NPS often assess relatively few nutrients and ingredients, use inconsistent criteria across food categories and have not incorporated the newest science. Here, we developed and validated an NPS, the Food Compass, to incorporate a broader range of food characteristics, attributes and uniform scoring principles. We scored 54 attributes across 9 health-relevant domains: nutrient ratios, vitamins, minerals, food ingredients, additives, processing, specific lipids, fibre and protein, and phytochemicals. The domain scores were summed into a final Food Compass Score (FCS) ranging from 1 (least healthy) to 100 (most healthy) for all foods and beverages. Content validity was confirmed by assessing nutrients, food ingredients and other characteristics of public health concern; face validity was confirmed by assessing the FCS for 8,032 foods and beverages reported in NHANES/FNDDS 2015-16; and convergent and discriminant validity was confirmed from comparisons with the NOVA food processing classification, the Health Star Rating and the Nutri-Score. The FCS differentiated food categories and food items well, with mean ± s.d. ranging from 17.1 ± 17.2 for savoury snacks and sweet desserts to 81.6 ± 16.0 for legumes, nuts and seeds. In many food categories, the FCS provided important discrimination of specific foods and beverages as compared with NOVA, the Health Star Rating or the Nutri-Score. On the basis of demonstrated content, convergent and discriminant validity, the Food Compass provides an NPS scoring a broader range of attributes and domains than previous systems with uniform and transparent principles. This publicly available tool will help guide consumer choice, research, food policy, industry reformulations and mission-focused investment decisions.

The Nutri-Score nutrition label

Nutri-Score is a front-of-pack nutrition label with summary graded colour-coding, which aims to inform consumers, in a simple and understandable way, of the overall nutritional value of foods, in order to help them to make healthier choices at the point of purchase and to encourage manufacturers to improve the nutritional quality of their products. It is based on a five-colour scale (from dark green to dark orange) associated with letters, from A to E, to optimize logo accessibility and understanding by the consumer. Nutri-Score does not merely characterize foods as "healthy" or "unhealthy". Rather, the graded logo provides semi-quantitative information, depending on the colour/ letter, of the relative overall nutritional composition of a food product compared to other similar products as to whether it is more or less favourable to health. Nutri-Score is the only proposed labelling scheme that adheres entirely to the concepts and processes that were published by the World Health Organisation (WHO) Europe concerning the validation studies that are required to select and evaluate a front-of-pack nutrition label. The aim of the present paper is to present the scientific basis for the design of the Nutri-Score and to summarize the various studies to validate its calculation method and its graphic format. We explore its effectiveness and superiority compared to other labelling schemes that have been implemented in other countries or supported by pressure groups. The necessity for objective, impartial consideration of how best to use Nutri-Score and avoid misunderstandings is highlighted.

Public health potential of guidelines-based dietary scores for non-communicable diseases mortality prevention: simulation study using the Preventable Risk Integrated ModEl (PRIME) model

OBJECTIVE

Dietary indexes measure the adherence of individuals to a set of nutritional recommendations. However, the health gains associated with adherence to various dietary indexes may vary. Our objective was to compare the magnitude of estimated avoided deaths by chronic diseases obtained by improving diet quality in the French population, measured by a variety of dietary indexes.

DESIGN

Simulation study based on observational data.

SETTING

Weighted data from a French population-based cohort study.

PARTICIPANTS

In participants from the NutriNet-Santé cohort, we computed dietary scores reflecting the adherence to various recommendations (Medi-Lite, Healthy Diet Indicator (HDI), Programme National Nutrition Santé/National Nutrition and Health Program - Guidelines Score, Diet Quality Index (DQI), Alternative Healthy Eating Index (AHEI) and the modified Food Standards Agency nutrient profiling system dietary index (FSAm-NPS DI)). Quintiles of the food groups' consumption and dietary intakes were used as input in a simulation model (Preventable Risk Integrated ModEl (PRIME)), yielding the number of delayed or avoided deaths in nutrition-related non-communicable diseases, comparing between very high or very low nutritional quality of the diet and medium nutritional quality.

RESULTS

A modification of dietary intakes from medium quality to very low quality (i.e. from the middle quintile to the quintile with the lowest nutritional quality) was associated with an increased number of deaths ranging from 3485 (95 % uncertainty interval (CI) 4002, 2987) for HDI and 3379 (95 % CI 3881, 2894) for FSAm-NPS DI to 838 (95 % CI 1163, 523) for Medi-Lite. Conversely, a modification of dietary intakes from medium quality to very high quality was associated with a decrease in the number of deaths ranging from 1995 (95 % CI 1676, 2299) for Probability of Adequate Nutrient intake diet, 1986 (95 % CI 1565, 2361) for DQI-International, 1931 (95 % CI 1499, 2316) for FSAm-NPS DI and 858 (95 % CI 499, 1205) for HDI.

CONCLUSIONS

Our results provide some insights as the potential impact of following various dietary guidelines to reduce mortality from nutrition-related diseases.

Five-color Nutri-Score labeling and mortality risk in a nationwide, population-based cohort in Spain: the Study on Nutrition and Cardiovascular Risk in Spain (ENRICA)

BACKGROUND

The 5-color Nutri-Score (5-CNS) front-of-package labeling system classifies products according to their nutritional quality, so healthier choices are easier when shopping.

OBJECTIVES

We examined the association between 5-CNS-based food consumption and long-term mortality in a Spanish, adult population.

METHODS

We recruited 12,054 individuals, representative of the Spanish population aged ≥18 years, in 2008-10 and followed up with them to 2017. Habitual food consumption was collected at baseline with a validated computerized dietary history, conducted by trained interviewers. Based on nutritional quality, foods consumed were categorized into 5 labels [A/Green (best quality), B, C, D, and E/Red (worst quality)] using an established algorithm. For each individual, a 5-CNS dietary index (DI) was calculated by summing up the amount of g/day from the foods consumed by their corresponding nutritional quality rate (e.g., A rated 1 and E rated 5) and dividing it by kg of weight. The associations between baseline 5-CNS DI and mortality were analyzed using multivariate-adjusted Cox models.

RESULTS

After a mean follow-up of 8.7 years, 514 deaths occurred (140 cardiovascular and 144 cancer deaths). The all-cause mortality HR for the highest versus the lowest quartile of baseline 5-CNS DI was 1.93 (95% CI, 1.34-2.79; P-trend, 0.001). The association was slightly higher for cardiovascular mortality and was similar for cancer. Those with the highest intake of foods labeled as D or E also had a higher all-cause mortality risk than those with the lowest intake (HR, 2.15; 95% CI, 1.56-2.97; P-trend < 0.001). Further, the isocaloric replacement of food products labeled as D or E with fresh foods decreases the risk of death.

CONCLUSIONS

The consumption of poor nutritional quality 5-CNS-labeled food products was associated with higher mortality in Spain. Pending further studies, these findings provide additional evidence to reinforce food policies on the use of this simple labeling tool at a country level.

International evidence for the effectiveness of the front-of-package nutrition label called Nutri-Score

OBJECTIVES

Front-of-package nutrition labels are intended to easily convey to consumers comprehensible information about the nutritional composition of pre-packaged food and are thus a tool in the combat against the growing prevalence of nutrition-related disorders, such as obesity, type 2 diabetes, cardiovascular disease, and some types of cancer. The objective of the present narrative review was first to describe Nutri-Score and then to synthesize some of the international scientific evidence for its effectiveness. Guided by scientific data and collective expertise, France formally adopted labelling of pre-packaged food with the 5-colour Nutri-Score label in October 2017 and that move was later followed by Belgium, Spain, Germany, Switzerland, the Netherlands, and Luxembourg.

METHODS

This article synthesizes evidence from several countries regarding the effectiveness of Nutri-Score and the associated individual-level diet quality index in terms of attitude/behaviour- and health-related outcomes. It also addresses criticism levied at the label.

RESULTS

The effectiveness of Nutri-Score has been demonstrated in terms of consumer ability to correctly classify food according to its nutritional quality, the nutritional quality of actual and intended food purchases, and portion size choices. In addition, consumption of foods that are less favourably rated on the Nutri-Score scale has been prospectively associated with chronic disease risk (cancer, cardiovascular disease, metabolic syndrome, etc.).

CONCLUSION

The adoption and implementation of a uniform front-of-package label such as the scientifically validated Nutri-Score on pre-packaged foods/beverages across Europe could be beneficial to consumers at the point of purchase and could help reduce the incidence of diet-related chronic diseases by means of improvement in diet quality.

Diet and gut microbiome interactions of relevance for symptoms in irritable bowel syndrome

BACKGROUND

While several studies have documented associations between dietary habits and microbiota composition and function in healthy individuals, no study explored these associations in patients with irritable bowel syndrome (IBS), and especially with symptoms.

METHODS

Here, we used a novel approach that combined data from a 4-day food diary, integrated into a food tree, together with gut microbiota (shotgun metagenomic) for individuals with IBS (N = 149) and healthy controls (N = 52). Paired microbiota and food-based trees allowed us to detect new associations between subspecies and diet. Combining co-inertia analysis and linear regression models, exhaled gas levels and symptom severity could be predicted from metagenomic and dietary data.

RESULTS

We showed that individuals with severe IBS are characterized by a higher intake of poorer-quality food items during their main meals. Our analysis suggested that covariations between gut microbiota at subspecies level and diet could be explained with IBS symptom severity, exhaled gas, glycan metabolism, and meat/plant ratio. We provided evidence that IBS severity is associated with altered gut microbiota hydrogen function in correlation with microbiota enzymes involved in animal carbohydrate metabolism.

CONCLUSIONS

Our study provides an unprecedented resolution of diet-microbiota-symptom interactions and ultimately guides new interventional studies that aim to identify gut microbiome-based nutritional recommendations for the management of gastrointestinal symptoms.

TRIAL REGISTRATION

This trial was registered on the ClinicalTrials.gov, with the registration number NCT01252550 , on 3rd December 2010. Video abstract.

Ten-year changes in diet quality among adolescents and young adults (Food Consumption Survey 2004 and 2014, Belgium)

PURPOSE

To estimate the 10-year change in the overall nutritional quality of adolescent and young adult's diet, as measured by the modified Nutrient Profiling System of the British Food Standards Agency individual Dietary Index (FSAm-NPS-DI) which funds the Nutri-Score development, and in different components of this score, overall and according to the individual characteristics.

METHODS

Two 24-h dietary recalls were carried out in 15- to 39-year-old respondents included in the Belgian Food Consumption Surveys in 2004 (n = 1186) and 2014 (n = 952). The weighted mean individual FSAm-NPS-DI was computed from all foods and beverages consumed, converted into a scale from 0 to 100 (from the poorest to the most favorable diet), and compared between survey years. Subject characteristics associated with the score, along with the mean daily intake of food groups, energy, and nutrients were explored in multiple linear regressions stratified by survey year and age group.

RESULTS

The weighted mean daily FSAm-NPS-DI significantly increased between 2004 and 2014 [2004: 55.3 (SEM: 0.2) vs. 2014: 57.4 (0.5), P < 0.001 in 15- to 18-year olds; 55.0 (0.6) vs. 58.1 (0.4), P < 0.001 in 19- to 25-year olds; 57.1 (0.4) vs. 58.5 (0.3), P < 0.01 in 26- to 39-year olds]. SFA intake decreased in all age groups, and sugar-sweetened beverage, sugar, sodium, and fiber intakes decreased among 15‒18-year olds. The nutritional quality changed unevenly according to sociocultural characteristics, levels of education and regions being the main sources of disparities.

CONCLUSION

The quality of diet improved overall between 2004 and 2014 among young people in Belgium, an uneven change that need to be confirmed in future surveys, following the implementation of the Nutri-Score.

Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

OBJECTIVE

To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality.

DESIGN

Population based cohort study.

SETTING

European Prospective Investigation into Cancer and Nutrition (EPIC) cohort from 23 centres in 10 European countries.

PARTICIPANTS

521 324 adults; at recruitment, country specific and validated dietary questionnaires were used to assess their usual dietary intakes. A FSAm-NPS score was calculated for each food item per 100 g content of energy, sugars, saturated fatty acids, sodium, fibre, and protein, and of fruit, vegetables, legumes, and nuts. The FSAm-NPS dietary index was calculated for each participant as an energy weighted mean of the FSAm-NPS score of all foods consumed. The higher the score the lower the overall nutritional quality of the diet.

MAIN OUTCOME MEASURE

Associations between the FSAm-NPS dietary index score and mortality, assessed using multivariable adjusted Cox proportional hazards regression models.

RESULTS

After exclusions, 501 594 adults (median follow-up 17.2 years, 8 162 730 person years) were included in the analyses. Those with a higher FSAm-NPS dietary index score (highest versus lowest fifth) showed an increased risk of all cause mortality (n=53 112 events from non-external causes; hazard ratio 1.07, 95% confidence interval 1.03 to 1.10, P<0.001 for trend) and mortality from cancer (1.08, 1.03 to 1.13, P<0.001 for trend) and diseases of the circulatory (1.04, 0.98 to 1.11, P=0.06 for trend), respiratory (1.39, 1.22 to 1.59, P<0.001), and digestive (1.22, 1.02 to 1.45, P=0.03 for trend) systems. The age standardised absolute rates for all cause mortality per 10 000 persons over 10 years were 760 (men=1237; women=563) for those in the highest fifth of the FSAm-NPS dietary index score and 661 (men=1008; women=518) for those in the lowest fifth.

CONCLUSIONS

In this large multinational European cohort, consuming foods with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher mortality for all causes and for cancer and diseases of the circulatory, respiratory, and digestive systems, supporting the relevance of FSAm-NPS to characterise healthier food choices in the context of public health policies (eg, the Nutri-Score) for European populations. This is important considering ongoing discussions about the potential implementation of a unique nutrition labelling system at the European Union level.

Prospective associations of the original Food Standards Agency nutrient profiling system and three variants with weight gain, overweight and obesity risk: results from the French NutriNet-Santé cohort

Nutrient profiling systems (NPS) are used to classify foods according to their nutritional composition. However, investigating their prospective associations with health is key to their validation. The study investigated the associations of the original Food Standards Agency (FSA)-NPS and three variants (Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC), Health Star Rating NPS and the French High Council of Public Health NPS (HCSP-NPS)), with weight status. Individual dietary indices based on each NPS at the food level were computed to characterise the dietary quality of 71 403 French individuals from the NutriNet-Santé cohort. Associations of these indices with weight gain were assessed using mixed models and with overweight and obesity risks using Cox models. Participants with a higher dietary index (reflecting lower diet nutritional quality) were more likely to have a significant increase in BMI over time (β-coefficients positive) and an increased risk of overweight (hazard ratio (HR) T3 v. T1 = 1·27 (95 % CI 1·17, 1·37)) for the HCSP-Dietary Index, followed by the original FSA-Dietary Index (HR T3 v. T1 = 1·18 (95 % CI 1·09, 1·28)), the NPSC-Dietary Index (HR T3 v. T1 = 1·14 (95 % CI 1·06, 1·24)) and the Health Star Rating-Dietary Index (HR T3 v. T1 = 1·12 (95 % CI 1·04, 1·21)). Whilst differences were small, the HCSP-Dietary Index appeared to show significantly greater association with overweight risk. Overall, these results show the validity of NPS derived from the FSA-NPS, supporting their use in public policies for chronic disease prevention.

Nutritional Quality of Vegetarian and Non-Vegetarian Dishes at School: Are Nutrient Profiling Systems Sufficiently Informative?

In France, school canteens must offer a vegetarian meal at least once per week. The objective was to evaluate the nutritional quality of school main dishes. A database of main dishes served in primary schools was first split into non-vegetarian (n = 669) and vegetarian (n = 315) categories. The latter has been divided into three sub-categories: vegetarian dishes containing cheese, vegetarian dishes containing eggs and/or dairy products but no cheese and vegetarian dishes without any eggs, cheese or other dairy products (vegan). Categories and sub-categories were compared based on nutrient adequacy ratios for "protective" nutrients (proteins, fibres, vitamins, minerals, essential fatty acids), the contents of nutrients to be limited (saturated fatty acids (SFA), sodium, free sugars) and on two nutrient profiling systems (SAIN,LIM and Nutri-Score). The vegetarian category and the non-vegetarian category displayed "adequate" levels (≥5% adequacy for 100 kcal) on average for almost all "protective" nutrients. The three sub-categories of vegetarian dishes displayed good SAIN,LIM and Nutri-Score profiles on average, although key nutrients were lacking (vitamin B12, vitamin D and DHA) or were present in insufficient amounts (vitamin B2 and calcium) in the vegan sub-category. The sub-category containing eggs and/or dairy products other than cheese was a good compromise, as it provided protective nutrients associated with eggs and fresh dairy products, while the sub-category containing cheese provided higher levels of SFA. Nutrient profile algorithms are insufficiently informative to assess the nutritional quality of school dishes.

Evaluating Nutrient-Based Indices against Food- and Diet-Based Indices to Assess the Health Potential of Foods: How Does the Australian Health Star Rating System Perform after Five Years?

Nutrient-based indices are commonly used to assess the health potential of individual foods for nutrition policy actions. This study aimed to evaluate the nutrient profile-informed Australian Health Star Rating (HSR), against NOVA and an index informed by the Australian Dietary Guidelines (ADGs), to determine the extent of alignment. All products displaying an HSR label in the Australian marketplace between June 2014 and June 2019 were extracted from the Mintel Global New Product Database, and classified into one of four NOVA categories, and either as an ADG five food group (FFG) food or discretionary food. Of 4451 products analysed, 76.5% were ultra-processed (UP) and 43% were discretionary. The median HSR of non-UP foods (4) was significantly higher than UP foods (3.5) (p < 0.01), and the median HSR of FFG foods (4) was significantly higher than discretionary foods (2.5) (p < 0.01). However, 73% of UP foods, and 52.8% of discretionary foods displayed an HSR ≥ 2.5. Results indicate the currently implemented HSR system is inadvertently providing a ‘health halo’ for almost ¾ of UP foods and ½ of discretionary foods displaying an HSR. Future research should investigate whether the HSR scheme can be reformed to avoid misalignment with food-and diet-based indices.

Extent of Food Processing and Risk of Prostate Cancer: The PROtEuS Study in Montreal, Canada

We studied the association between food intake, based on the extent of processing, and prostate cancer risk in a population-based case-control study conducted in Montreal, Canada in 2005–2012. Incident prostate cancer cases (n = 1919) aged ≤75 years were histologically confirmed. Population controls (n = 1991) were randomly selected from the electoral list and frequency-matched to cases by age (±5 years). A 63-item food frequency questionnaire focusing on the two years prior to diagnosis/interview was administered by interviewers. The NOVA classification was used to categorize foods based on processing level. Unconditional logistic regression estimated the association between food intake and prostate cancer risk, adjusting for age, education, ethnicity, family history, and timing of last prostate cancer screening. Consumption of unprocessed or minimally processed foods showed a slight, inverse association (Odd ratio [OR] 0.86, 95% confidence interval [CI] 0.70–1.07; highest vs. lowest quartile) with prostate cancer. An increased risk was observed with higher intake of processed foods (OR 1.29, 95%CI 1.05–1.59; highest vs. lowest quartile), but not with consumption of ultra-processed food and drinks. The associations with unprocessed/minimally processed foods and processed foods were slightly more pronounced for high-grade cancers (ORs 0.80 and 1.33, respectively). Findings suggest that food processing may influence prostate cancer risk.

Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort

Importance

Ultraprocessed foods (UPF) are widespread in Western diets. Their consumption has been associated in recent prospective studies with increased risks of all-cause mortality and chronic diseases such as cancer, cardiovascular diseases, hypertension, and dyslipidemia; however, data regarding diabetes are lacking.

Objective

To assess the associations between consumption of UPF and risk of type 2 diabetes (T2D).

Design, Setting, and Participants

In this population-based prospective cohort study, 104 707 participants aged 18 years or older from the French NutriNet-Santé cohort (2009-2019) were included. Dietary intake data were collected using repeated 24-hour dietary records (5.7 per participant on average), designed to register participants' usual consumption for more than 3500 different food items. These were categorized according to their degree of processing by the NOVA classification system.

Main Outcomes and Measures

Associations between UPF consumption and risk of T2D were assessed using cause-specific multivariable Cox proportional hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history, and nutritional factors).

Results

A total of 104 707 participants (21 800 [20.8%] men and 82 907 [79.2%] women) were included. Mean (SD) baseline age of participants was 42.7 (14.5) years. Absolute T2D rates in the lowest and highest UPF consumers were 113 and 166 per 100 000 person-years, respectively. Consumption of UPF was associated with a higher risk of T2D (multi-adjusted hazard ratio [HR] for an absolute increment of 10 in the percentage of UPF in the diet, 1.15; 95% CI, 1.06-1.25; median follow-up, 6.0 years; 582 252 person-years; 821 incident cases). These results remained statistically significant after adjustment for several markers of the nutritional quality of the diet, for other metabolic comorbidities (HR, 1.13; 95% CI, 1.03-1.23), and for weight change (HR, 1.13; 95% CI, 1.01-1.27). The absolute amount of UPF consumption (grams per day) was consistently associated with T2D risk, even when adjusting for unprocessed or minimally processed food intake (HR for a 100 g/d increase, 1.05; 95% CI, 1.02-1.08).

Conclusions and Relevance

In this large observational prospective study, a higher proportion of UPF in the diet was associated with a higher risk of T2D. Even though these results need to be confirmed in other populations and settings, they provide evidence to support efforts by public health authorities to recommend limiting UPF consumption.

Trial Registration

ClinicalTrials.gov Identifier: NCT03335644.

Application of nutrient profile models to compare products offered in 'healthy' vs 'conventional' vending machines in a Spanish hospital environment

INTRODUCTION

Vending machines promote easy access to food with low nutritional value. 'Healthy' vending machines (HVM) have been introduced as a means to improve the availability and accessibility of healthy food options, and the healthiness of the foods, however, has not been evaluated.

OBJECTIVE

Our aim was to assess the healthiness of the products offered in HVM and 'conventional' vending machines (CVM), located in the Catalan Institute of Oncology.

STUDY DESIGN AND METHODS

All products available in vending machines (HVM (n = 33) and CVM (n = 62) were evaluate during three nutrient profile models (NPMs): the World Health Organization's European Regional Office model (WHO), Nutrient Profile Model UK (NPM-UK), and Australian Health Star Rating system (HSR).

RESULTS

Regardless of the NPM used, significant differences found in the proportion of healthy products among HVM and CVM (WHO: P-value = 0.005, NPM-UK: P value < 0.001, HSR: P-value < 0.001). The healthy products offered in HVM accounted for 30%, 73%, and 52% of the total content, while CVM offered 6%, 32%, and 15% of the content, as assessed by WHO, NPM-UK, and HSR, respectively. The WHO model was the most restrictive model, and the NPM-UK was the most permissible one.

CONCLUSIONS

Although not all products in HVM are rated as healthy by the different NPMs, the percentage of healthy products was significantly higher than those in CVM.