Nutrients or processing? An analysis of food and drink items from the UK National Diet and Nutrition Survey based on nutrient content, the NOVA classification and front of package traffic light labelling.

UK front of package labelling (FOPL) informs consumers on the nutrient content of food. However, FOPL does not consider food processing, and with the UK government being urged to act on ultra-processed food (UPF), whether UPF should be added to FOPL is unclear. This study compared food and drink in the UK National Diet and Nutrition Survey (NDNS) Intake24 database based on FOPL, nutrient content and NOVA classification, to understand whether UPF are covered by dietary recommendations for foods high in fat, salt and sugar. NDNS items were coded into minimally processed food (MPF), processed culinary ingredients, processed food and UPF according to the NOVA classification and FOPL traffic lights. UPF contained greater energy, fat, saturated fat (SF), total sugar (TS) and salt than MPF. UPF had a greater odds of containing red FOPL and an unhealthier overall FOPL score (OR:4·59 (95 % CI: 3·79, 5·57); OR:7·0 (95 % CI: 6·1, 8·2), respectively) and lower odds of containing green FOPL (OR:0·05 (95 % CI: 0·03, 0·10)), compared with MPFs. For items with no red FOPL, UPF still contained greater energy, fat, SF, TS and salt than MPF. However, several UPF have healthier FOPL scores. UPF had an unhealthier nutritional profile and FOPL score than MPF. For items with no red FOPL, UPF still had an unhealthier profile than MPF, with a higher energy density. Importantly, not all UPF were unhealthy according to FOPL. These results indicate partial overlap between FOPL, nutrient content and NOVA classification of UK food and drink products, with implications for UK food and drink labelling.

Categorising ultra-processed foods in large-scale cohort studies: evidence from the Nurses' Health Studies, the Health Professionals Follow-up Study, and the Growing Up Today Study.

This manuscript details the strategy employed for categorising food items based on their processing levels into the four NOVA groups. Semi-quantitative food frequency questionnaires (FFQs) from the Nurses' Health Studies (NHS) I and II, the Health Professionals Follow-up Study (HPFS) and the Growing Up Today Studies (GUTS) I and II cohorts were used. The four-stage approach included: (i) the creation of a complete food list from the FFQs; (ii) assignment of food items to a NOVA group by three researchers; (iii) checking for consensus in categorisation and shortlisting discordant food items; (iv) discussions with experts and use of additional resources (research dieticians, cohort-specific documents, online grocery store scans) to guide the final categorisation of the short-listed items. At stage 1, 205 and 315 food items were compiled from the NHS and HPFS, and the GUTS FFQs, respectively. Over 70 % of food items from all cohorts were assigned to a NOVA group after stage 2. The remainder were shortlisted for further discussion (stage 3). After two rounds of reviews at stage 4, 95⋅6 % of food items (NHS + HPFS) and 90⋅7 % items (GUTS) were categorised. The remaining products were assigned to a non-ultra-processed food group (primary categorisation) and flagged for sensitivity analyses at which point they would be categorised as ultra-processed. Of all items in the food lists, 36⋅1 % in the NHS and HPFS cohorts and 43⋅5 % in the GUTS cohorts were identified as ultra-processed. Future work is needed to validate this approach. Documentation and discussions of alternative approaches for categorisation are encouraged.

Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort).

The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.

Deconstructing the Supermarket: Systematic Ingredient Disaggregation and the Association between Ingredient Usage and Product Health Indicators for 24,229 Australian Foods and Beverages.

Unhealthy diets are underpinned by the over-consumption of packaged products. Data describing the ingredient composition of these products is limited. We sought to define the ingredients used in Australian packaged foods and beverages and assess associations between the number of ingredients and existing health indicators. Statements of ingredients were disaggregated, creating separate fields for each ingredient and sub-ingredient. Ingredients were categorised and the average number of ingredients per product was calculated. Associations between number of ingredients and both the nutrient-based Health Star Rating (HSR) and the NOVA level-of-processing classification were assessed. A total of 24,229 products, listing 233,113 ingredients, were included. Products had between 1 and 62 ingredients (median (Interquartile range (IQR)): 8 (3-14)). We identified 915 unique ingredients, which we organised into 17 major and 138 minor categories. 'Additives' were contained in the largest proportion of products (64.6%, (15,652/24,229)). The median number of ingredients per product was significantly lower in products with the optimum 5-star HSR (when compared to all other HSR score groups, p-value < 0.001) and significantly higher in products classified as ultra-processed (when compared to all other NOVA classification groups, p-value < 0.001). There is a strong relationship between the number of ingredients in a product and indicators of nutritional quality and level of processing.

Contribution of minimally processed and ultra-processed foods to the cardiometabolic risk of Brazilian young adults: a cross-sectional study / Contribución de los alimentos mínimamente procesados y ultraprocesados al riesgo cardiometabólico de adultos jóvenes brasileños: un estudio transversal

INTRODUCTION: the simultaneous increase in the prevalence of cardiometabolic diseases and in the consumption of ultraprocessed foods (UPF) suggests a possible relationship between UPF and cardiometabolic risk (CMR). OBJECTIVE: to evaluate the association between food consumption, according to the degree of processing, and CMR in young adults. METHODS: this is a comparative cross-sectional study in 120 Brazilian young adults aged 18-25 years, categorized by the presence of CMR. Food consumption was investigated using a semi-quantitative food frequency questionnaire, and classified according to the extent of food processing. Food groups and tertiles in grams of unprocessed, minimally processed (MPF), processed and ultra-processed foods (UPF) were compared using the Kruskal-Wallis test. The associations of food consumption, according to level of processing (MPF and UPF), with CMR components were evaluated using logistic regression models. RESULTS: a high caloric contribution of UPF was observed in the diet of this study population. The total energy intake from lipids in all foods (p = 0.04) and in UPF (p = 0.03) was greater in the group with CMR. A greater consumption of UPF was a risk factor for abdominal obesity (OR = 1.09; 95 % CI = 1.00-1.18) while a greater consumption of MPF was protective for LDL-c alterations independently of sex, physical activity, and alcohol intake (OR = 0.70; 95 % CI = 0.50-0.98). CONCLUSIONS: UPF contributed to a greater caloric intake from fat in the CMR, and was a risk factor for abdominal obesity. MPF was an independent protective factor for LDL-c alterations

INTRODUCCIÓN: la alta prevalencia de enfermedades cardiometabólicas y el avance de los alimentos ultraprocesados en la dieta sugieren una posible relación entre ellos. OBJETIVO: valorar la asociación entre el consumo de alimentos clasificado por el grado de procesamiento y el riesgo cardiometabólico en adultos jóvenes. MÉTODOS: estudio transversal con una muestra compuesta por 120 jóvenes brasileños de 18 a 25 años, que fueron categorizados según el riesgo cardiometabólico (presencia o ausencia). El consumo de alimentos se evaluó mediante un cuestionario semicuantitativo de frecuencias a partir del que se clasificó la ingesta de acuerdo con el grado de procesamiento. Estos resultados se dividieron en terciles de gramos de alimentos (procesados y mínimamente procesados, procesados y ultraprocessados). Las diferencias de consumo diario de alimentos entre los terciles se compararon por medio del test de Kruskal-Wallis. Se realizó una regresión logística para asociar el grado de procesamiento con los componentes del riesgo cardiometabólico. RESULTADOS: se observó una alta contribución energética de los alimentos ultraprocesados en la dieta de la muestra estudiada. La ingestión de grasas totales (p = 0,04) y alimentos ultraprocesados (p = 0,03) fue mayor entre el grupo con riesgo cardiometabólico. El consumo de alimentos ultraprocesados fue un factor de riesgo de obesidad abdominal (OR = 1,09; IC 95 %: 1,00-1,18), mientras que el consumo de los mínimamente procesados fue protector frente a las alteraciones del LDL-c, independientemente del sexo, la actividad física y la ingesta de alcohol (OR = 0,70; IC 95 % = 0,50-0,98). CONCLUSIÓN: los alimentos ultraprocesados contribuyeron a aumentar la ingesta de grasas y a la obesidad abdominal; en cambio, los alimentos no procesados y mínimamente procesados redujeron los niveles de LDL-c

[Nutri-Score and ultra-processing: two different, complementary, non-contradictory dimensions]. / Nutri-Score y ultra-procesamiento: dos dimensiones diferentes, complementarias y no contradictorias.

INTRODUCTION: The front-of-pack nutritional labeling system Nutri-Score is sometimes under attack because it classifies as A and B certain ultra-processed foods. In fact, this is not surprising given that nutritional quality (assessed by Nutri-Score) and ultra-processing (assessed by the NOVA classification) do not cover the same "health dimensions" in foods but rather different dimensions likely to affect health through specific mechanisms. Although they cover different and complementary dimensions, there is nevertheless an overall association between the degree of processing and nutritional quality of foods. But within the group of ultra-processed foods there are differences in the number, type and doses of additives, as well as differences in nutritional quality. Therefore Nutri-Score allows, within the category of ultra-processed foods (as for all categories of the NOVA classification), to differentiate the nutritional quality of foods, which is essential in terms of health impact. Indeed, regardless of the level of food processing, it has been shown that consuming foods that are better ranked on the Nutri-Score scale is associated with a health benefit and a lower risk of chronic diseases. This is important because, even if it is recommended to reduce the consumption of ultra-processed foods, for those who do not want to or cannot avoid consuming them, for those for whom cooking is difficult (for reasons of time, ease, taste, etc.), the choice of foods better ranked on the Nutri-Score scale has a positive impact on health. Nutri-Score and ultra-transformation must be considered two different and complementary dimensions.

INTRODUCCIÓN: Al logotipo nutricional Nutri-Score se le ataca a veces porque clasifica como A y B algunos alimentos ultraprocesados. Esto no es sorprendente si se tiene en cuenta que la calidad nutricional (evaluada por Nutri-Score) y el ultraprocesamiento (evaluado por la clasificación NOVA) no abarcan las mismas "dimensiones de salud" de los alimentos, sino que cada una de ellas puede impactar en la salud por mecanismos específicos propios. Al mismo tiempo que cubren dimensiones diferentes y complementarias, sigue existiendo una asociación global entre el grado de transformación y la calidad nutricional de los alimentos. Dentro de los alimentos ultraprocesados existen diferencias en términos de número, tipo y dosis de aditivos, pero también en términos de calidad nutricional, por lo que Nutri-Score permite, dentro de la amplia categoría de productos ultraprocesados (como en todas las categorías de la clasificación NOVA), distinguir su calidad nutricional, lo que es primordial en términos de impacto sobre la salud. Cualquiera que sea el nivel de procesamiento de los alimentos, se ha demostrado que el consumo de alimentos mejor clasificados por Nutri-Score es beneficioso para la salud y tiene un menor riesgo de patologías crónicas. Esto es importante porque, incluso si se recomienda reducir el consumo de alimentos ultraprocesados, para aquellos que no quieren o no pueden evitar consumirlos o para quienes es complicado cocinar (por razones de tiempo, facilidad, preferencia, etc.) la elección de un alimento mejor clasificado en la escala Nutri-Score tiene un impacto favorable en el plano de la salud. En consecuencia, Nutri-Score y el ultraprocesamiento deben considerarse como dos dimensiones diferentes y complementarias.

Addressing Challenges with the Categorization of Foods Processed at Home: A Pilot Methodology to Inform Consumer-Facing Guidance.

The objective of this study was to inform consumer-facing dietary guidance by (1) adapting the current University of North Carolina at Chapel Hill (UNC) food processing framework to include a home processing (HP) component and (2) pilot testing the adapted version using a nationally representative sample of foods consumed in the U.S. The UNC framework was adapted to include guidelines for categorizing home-prepared (HP) foods. The original UNC and adapted HP frameworks were used to code dietary recalls from a random sample of National Health and Nutrition Examination Survey (2015-2016 cycle) participants (n = 100; ages 2-80 years). Percent changes between the UNC and HP adapted frameworks for each processing category were calculated using Microsoft Excel, version 16.23. Participants were 56% female, 35% non-Hispanic white (mean age = 31.3 ± 23.8). There were 1,376 foods with 651 unique foods reported. Using the HP compared to the UNC framework, unprocessed/minimally processed foods declined by 11.7% (UNC: 31.0% vs. HP: 27.4%); basic processed foods increased by 116.8% (UNC: 8.2% vs. HP: 17.8%); moderately processed foods increased by 16.3% (UNC: 14.2% vs. HP: 16.6%); and highly processed foods decreased by 17.8% (UNC: 46.5% vs. HP: 38.2%). Home-prepared foods should be considered as distinct from industrially produced foods when coding dietary data by processing category. This has implications for consumer-facing dietary guidance that incorporates processing level as an indicator of diet quality.

Association between Heat-Induced Chemical Markers and Ultra-Processed Foods: A Case Study on Breakfast Cereals.

Nutritional composition and neo-formed contaminant content in ultra-processed foods, amongst other factors, may contribute to increasing overall risk of non-communicable diseases and cancer. Commercial breakfast cereals (n = 53) were classified according to the NOVA approach as un-/minimally processed (NOVA-1, 11%), processed (NOVA-3, 30%), and ultra-processed (NOVA-4, 59%) foods. Acrylamide and hydroxymethylfurfural (HMF) content as heat-induced chemical markers was taken from our research team database. The NutriScore was used as the nutritional profiling system. Samples were distributed between groups A (19%), B (13%), C (38%), and D (30%). No statistically significant differences in acrylamide and HMF were found across the NutriScore groups. Sugar content was the only nutritional descriptor found to be significantly different between processed (11.6 g/100 g) and ultra-processed (23.1 g/100 g) breakfast cereal groups. Sugar content correlated with acrylamide (p < 0.001) and HMF (p < 0.0001). Acrylamide and HMF contents were not significantly higher in the NOVA-4 group when compared with the NOVA-3 group. However, trends towards higher acrylamide and HMF content are observed, amounting to a change of 75 µg/kg and 13.3 mg/kg in processed breakfast cereals, and 142 µg/kg and 32.1 mg/kg in ultra-processed breakfast cereals, respectively. Thus, the NOVA classification may not reflect the extent of the thermal treatment applied to the breakfast cereal but the type and amount of ingredients incorporated. Ultra-processed breakfast cereal does not predict significantly higher toxicological concern based on acrylamide content than processed breakfast cereals; a clear trend is seen whose contributing factors should be further studied.

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.

Association of body image (dis)satisfaction and perception with food consumption according to the NOVA classification: Pró-Saúde Study.

The literature on body image and food consumption has generally focused on isolated food items, while overlooking the growing role of ultra-processed foods in the overall diet. The objective of this study was to assess the association of body image (dis)satisfaction and perception with food consumption, according to the NOVA classification, which takes into account the extent and purpose of industrial food processing. A silhouette scale developed considering the Brazilian adults' Body Mass Index was used to assess body image (dis)satisfaction and perception. Food consumption was evaluated using a Food Frequency Questionnaire, and its items were categorized into three groups: unprocessed or minimally-processed foods and culinary preparations; processed foods; ultra-processed foods. The association was assessed using linear regression models. A total of 514 of Brazilian university employees were evaluated. Women dissatisfied due to excess weight consumed less unprocessed or minimally-processed foods and culinary preparations (-6.6, 95% CI: -10.7; -2.5) and more ultra-processed foods (3.7, 95% CI: 0.1; 7.2) compared to satisfied. Women that overestimated their body size consumed less unprocessed or minimally-processed food and culinary preparations (-4.2, 95% CI: -7.3; -1.1), compared to those who had not distorted body image. Food consumption appears to be more strongly associated with body image (dis)satisfaction than with perception. An association was established between body image dissatisfaction and unhealthy eating habits. This relation deserves public health attention since it may contribute to the development of chronic diseases and reduce the quality of life and body image assessment could be adopted by nutritionists and other health professionals in their practice.

Free Sugar Content in Pre-Packaged Products: Does Voluntary Product Reformulation Work in Practice?

Ultra-processed, pre-packaged foods are becoming a growing part of our diet, while displacing whole and minimally processed foods. This results in an increased intake of free sugar, salt, and saturated fats, that have a profoundly negative effect on health. We aimed to assess the trend in free sugar content in pre-packaged foods in Slovenia and evaluate the efficacy of industry self-regulations designed to combat the excess consumption of free sugar. A nation-wide data collection of the Slovenian food supply was performed in 2015 and repeated in 2017. In 2017, 54.5% of all products (n = 21,115) contained free sugars (median: 0.26 g free sugar/100 g). Soft drinks became the main free sugar source among pre-packaged goods (28% of all free sugar sold on the market) in place of chocolates and sweets, of which relative share decreased by 4.4%. In the categories with the highest free sugar share, market-leading brands were often sweeter than the average free sugar value of the category. This indicates that changes in on-shelf availability towards a greater number of healthier, less sweet products are not necessarily reflected in healthier consumers' choices. Relying solely on voluntary industrial commitments to reduce free sugar consumption will likely not be sufficient to considerably improve public health. While some further improvements might be expected over the longer term, voluntarily commitments are more successful in increasing the availability of healthier alternatives, rather than improving the nutritional composition of the market-leading products. Additional activities are, therefore, needed to stimulate reformulation of the existing market-leading foods and drinks, and to stimulate the consumption of healthier alternatives.

Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study.

OBJECTIVE: To evaluate the association between consumption of ultra-processed foods and all cause mortality. DESIGN: Prospective cohort study. SETTING: Seguimiento Universidad de Navarra (SUN) cohort of university graduates, Spain 1999-2018. PARTICIPANTS: 19 899 participants (12 113 women and 7786 men) aged 20-91 years followed-up every two years between December 1999 and February 2014 for food and drink consumption, classified according to the degree of processing by the NOVA classification, and evaluated through a validated 136 item food frequency questionnaire. MAIN OUTCOME MEASURE: Association between consumption of energy adjusted ultra-processed foods categorised into quarters (low, low-medium, medium-high, and high consumption) and all cause mortality, using multivariable Cox proportional hazard models. RESULTS: 335 deaths occurred during 200 432 persons years of follow-up. Participants in the highest quarter (high consumption) of ultra-processed foods consumption had a higher hazard for all cause mortality compared with those in the lowest quarter (multivariable adjusted hazard ratio 1.62, 95% confidence interval 1.13 to 2.33) with a significant dose-response relation (P for linear trend=0.005). For each additional serving of ultra-processed foods, all cause mortality relatively increased by 18% (adjusted hazard ratio 1.18, 95% confidence interval 1.05 to 1.33). CONCLUSIONS: A higher consumption of ultra-processed foods (>4 servings daily) was independently associated with a 62% relatively increased hazard for all cause mortality. For each additional serving of ultra-processed food, all cause mortality increased by 18%. STUDY REGISTRATION: ClinicalTrials.gov NCT02669602.

Unhealthy food marketing around New Zealand schools: a national study.

OBJECTIVES: This is the first nationwide analysis of food marketing around New Zealand (NZ) schools. METHODS: Zones (500-m network buffers) were created around a sample of 950 schools (37.5% of total) using ArcGIS. Foods advertised were classified according to the NZ Food and Beverage Classification System and the World Health Organization (WHO) Europe Nutrient Profile Model. Convenience, fast food and takeaway outlets were mapped. RESULTS: About 65% of foods were not permitted to be marketed to children by the WHO model. The median and maximum number of non-permitted foods was 16.2 per km2 and 805.9 per km2, and the median number of junk food advertisements was 10.6 per km2 for urban schools. The proportion of junk food advertisements was significantly higher around schools with the highest (50.7% vs. 37.4%, p < 0.001) compared to the lowest number of socio-economically deprived children. Sugar-sweetened beverages (N = 4584, 20.4%) and fast food (N = 4329, 19.2%) were most frequently marketed. The median and maximum number of unhealthy outlets around schools was 5 and 212, respectively. CONCLUSIONS: NZ schools are surrounded by unhealthy food marketing. Regulations to restrict such marketing need to be implemented.

Comparative Analysis of the Classification of Food Products in the Mexican Market According to Seven Different Nutrient Profiling Systems.

Nutrient profiling systems (NPS) are used around the world. In some countries, the food industry participates in the design of these systems. We aimed to compare the ability of various NPS to identify processed and ultra-processed Mexican products containing excessive amounts of critical nutrients. A sample of 2544 foods and beverages available in the Mexican market were classified as compliant and non-compliant according to seven NPS: the Pan American Health Organization (PAHO) model, which served as our reference, the Nutrient Profiling Scoring Criterion (NPSC), the Mexican Committee of Nutrition Experts (MCNE), the Health Star Rating (HSR), the Mexican Nutritional Seal (MNS), the Chilean Warning Octagons (CWO) 2016, 2018 and 2019 criteria, and Ecuador's Multiple Traffic Light (MTL). Overall, the proportion of foods classified as compliant by the HSR, MTL and MCNE models was similar to the PAHO model. In contrast, the NPSC, the MNS and the CWO-2016 classified a higher amount of foods as compliant. Larger differences between NPS classification were observed across food categories. Results support the notion that models developed with the involvement of food manufacturers are more permissive than those based on scientific evidence. Results highlight the importance of thoroughly evaluating the underlying criteria of a model.

Sedentary behavior and consumption of ultra-processed foods by Brazilian adolescents: Brazilian National School Health Survey (PeNSE), 2015. / Comportamento sedentário e consumo de alimentos ultraprocessados entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2015.

The aim of this cross-sectional study was to investigate the association between sedentary behavior and consumption of ultra-processed foods (UPF) among Brazilian adolescents. The study used data from the 2015 edition of the Brazilian National School Health Survey (PeNSE). Daily consumption of at least one group of UPF was the outcome, and the principal exposure was daily time spent in sedentary behavior (hours spent sitting, except for time sitting at school). We calculated prevalence rates, prevalence ratios, and 95% confidence intervals (95%CI). The analyses were adjusted for gender, age, skin color, maternal schooling, household assets index, major geographic region, and school's administrative jurisdiction (public versus private). Forty percent of the schoolchildren reported daily consumption of at least one group of UPF (39.7%; 95%CI: 39.2-40.3), while 68.1% (95%CI: 67.7-68.7) reported > 2 hours/day of sedentary behavior. Among schoolchildren with sedentary behavior > 2 hours/day, prevalence of daily consumption of UPF was 42.8% (95%CI: 42.1-43.6%), higher than among those without sedentary behavior (29.8%; 95%CI: 29.0-30.5%). Longer time spent in sedentary behavior was associated with higher prevalence of consumption of UPF (p-value for linear trend < 0.001). Strategies to promote healthy eating and decrease sedentary behavior, as well as regulation of advertising for UPF, are necessary to prevent unhealthy lifestyles from persisting into adulthood.

Estudo transversal com o objetivo de investigar a associação entre comportamento sedentário e consumo de alimentos ultraprocessados (AUP) em adolescentes brasileiros. Foram utilizados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) realizada em 2015. O consumo diário de pelo menos um grupo de AUP representou o desfecho, e a exposição principal foi o tempo diário de comportamento sedentário (horas em atividades sentado, excluído o tempo dispendido na escola). Foram calculadas prevalências, razões de prevalências e intervalos de 95% de confiança (IC95%). As análises foram ajustadas para sexo, idade, cor da pele, escolaridade materna, índice de bens, região geográfica e dependência administrativa da escola. Cerca de 40% dos escolares reportaram consumo diário de pelo menos um grupo de AUP (39,7%; IC95%: 39,2-40,3) e 68,1% (IC95%: 67,7-68,7) referiram > 2 horas/dia de comportamento sedentário. Entre os escolares com comportamento sedentário > 2 horas/dia, a prevalência de consumo diário de AUP foi de 42,8% (IC95%: 42,1-43,6%), maior do que entre os sem comportamento sedentário (29,8%; IC95%: 29,0-30,5%). Quanto maior o tempo de comportamento sedentário, maior a prevalência de consumo de AUP (valor de p para tendência linear < 0,001). Estratégias que promovam a alimentação saudável e a diminuição de comportamentos sedentários, bem como regulamentações da publicidade de AUP, tornam-se necessárias a fim de evitar que estilos de vida não saudáveis perdurem à idade adulta.

Estudio transversal con el objetivo de investigar la asociación entre el comportamiento sedentario y el consumo de alimentos ultraprocesados (AUP) en adolescentes brasileños. Se utilizaron datos de la Encuesta Nacional de Salud del Escolar (PeNSE), realizada en 2015. El consumo diario de por lo menos un grupo de AUP representó el resultado, y la exposición principal fue el tiempo diario de comportamiento sedentario (horas en actividades sentado, excluido el tiempo transcurrido en la escuela). Se calcularon las prevalencias, razones de prevalencias e intervalos de 95% de confianza (IC95%). Los análisis se ajustaron por sexo, edad, color de la piel, escolaridad materna, índice de bienes, región geográfica y dependencia administrativa de la escuela. Cerca de un 40% de los escolares informaron un consumo diario de por lo menos un grupo de AUP (39,7%; IC95%: 39,2-40,3) y 68,1% (IC95%: 67,7-68,7) informaron > 2 horas/día de comportamiento sedentario. Entre los escolares con un comportamiento sedentario > 2 horas/día, la prevalencia de consumo diario de AUP fue de un 42,8% (IC95%: 42,1-43,6%), mayor que entre quienes no tenían comportamiento sedentario (29,8%; IC95%: 29,0-30,5%). Cuanto mayor es el tiempo de comportamiento sedentario, mayor la prevalencia de consumo de AUP (valor de p para tendencia lineal < 0,001). Estrategias que promuevan la alimentación saludable y la disminución de comportamientos sedentarios, así como una regulación de la publicidad de AUP, fueron necesarias, a fin de evitar que estilos de vida no saludables perduren en la edad adulta.

Consumption of ultra-processed foods and socioeconomic position: a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

The objective of the study was to estimate the contribution of ultra-processed foods to total caloric intake and investigate whether it differs according to socioeconomic position. We analyzed baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil 2008-2010; N = 14.378) and data on dietary intake using a food frequency questionnaire, assigning it into three categories: unprocessed or minimally processed foods and processed culinary ingredients, processed foods, and ultra-processed foods. We measured the associations between socioeconomic position (education, per capita household income, and occupational social class) and the percentage of caloric contribution of ultra-processed foods, using generalized linear regression models adjusted for age and sex. Unprocessed or minimally processed foods and processed culinary ingredients contributed to 65.7% of the total caloric intake, followed by ultra-processed foods (22.7%). After adjustments, the percentage of caloric contribution of ultra-processed foods was 20% lower among participants with incomplete elementary school when compared to postgraduates. Compared to individuals from upper income classes, the caloric contribution of ultra-processed foods was 10%, 15% and 20% lower among the ones from the three lowest income, respectively. The caloric contribution of ultra-processed foods was also 7%, 12%, 12%, and 17% lower among participants in the lowest occupational social class compared to those from high social classes. Results suggest that the caloric contribution of ultra-processed foods is higher among individuals from high socioeconomic positions with a dose-response relationship for the associations.

Consumption of ultra-processed foods and socioeconomic position: a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health / O consumo de alimentos ultraprocessados e nível socioeconômico: uma análise transversal do Estudo Longitudinal de Saúde do Adulto, Brasil / Consumo de comida ultraprocesada y nivel socioeconómico: un análisis transversal del Estudio Longitudinal Brasileño sobre Salud en la Edad Adulta

The objective of the study was to estimate the contribution of ultra-processed foods to total caloric intake and investigate whether it differs according to socioeconomic position. We analyzed baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil 2008-2010; N = 14.378) and data on dietary intake using a food frequency questionnaire, assigning it into three categories: unprocessed or minimally processed foods and processed culinary ingredients, processed foods, and ultra-processed foods. We measured the associations between socioeconomic position (education, per capita household income, and occupational social class) and the percentage of caloric contribution of ultra-processed foods, using generalized linear regression models adjusted for age and sex. Unprocessed or minimally processed foods and processed culinary ingredients contributed to 65.7% of the total caloric intake, followed by ultra-processed foods (22.7%). After adjustments, the percentage of caloric contribution of ultra-processed foods was 20% lower among participants with incomplete elementary school when compared to postgraduates. Compared to individuals from upper income classes, the caloric contribution of ultra-processed foods was 10%, 15% and 20% lower among the ones from the three lowest income, respectively. The caloric contribution of ultra-processed foods was also 7%, 12%, 12%, and 17% lower among participants in the lowest occupational social class compared to those from high social classes. Results suggest that the caloric contribution of ultra-processed foods is higher among individuals from high socioeconomic positions with a dose-response relationship for the associations.

O estudo teve como objetivo estimar a contribuição dos alimentos ultraprocessados à ingestão calórica total e investigar se essa contribuição difere de acordo com nível socioeconômico. Analisamos os dados da linha de base do Estudo Longitudinal de Saúde do Adulto-Brasil (ELSA-Brasil 2008-2010; N = 14.378) e os de ingestão alimentar, usando um questionário sobre frequência de consumo alimentar, em três categorias: alimentos não processados ou minimamente processados e ingredientes culinários processados, alimentos processados e alimentos ultraprocessados. Estimamos as associações entre nível socioeconômico (escolaridade, renda domiciliar per capita e classe social ocupacional) e o percentual da contribuição calórica dos ultraprocessados, usando modelos lineares generalizados, ajustados por idade e sexo. Os alimentos não processados ou minimamente processados e ingredientes culinários processados representaram 65,7% da ingestão calórica total, seguidos pelos ultraprocessados (22,7%). Depois dos ajustes, a contribuição dos ultraprocessados foi 20% mais baixa entre participantes com ensino fundamental incompleto, quando comparados aos indivíduos com pós-graduação. Quando comparados aos indivíduos das classes de renda mais alta, a contribuição calórica dos ultraprocessados foi 10%, 15% e 20% mais baixa entre aqueles pertencentes aos três quintis de renda mais baixos, respectivamente. Além disso, a contribuição calórica dos ultraprocessados foi 7%, 12%, 12% e 17% mais baixa entre os participantes da classe social ocupacional mais baixa, comparados aos das classes sociais mais altas. Os resultados sugerem que a contribuição calórica dos alimentos ultraprocessados é mais alta entre os indivíduos de nível socioeconômico mais alto, com gradiente de dose e resposta nas associações.

El objetivo del estudio fue estimar la contribución de las comidas ultraprocesadas en la ingesta total calórica e investigar si difiere según el nivel socioeconómico. Analizamos datos de referencia, procedentes del Estudio Longitudinal Brasileño sobre Salud en la Edad Adulta (ELSA-Brasil 2008-2010; N = 14.378) y datos de la ingesta nutricional, usando un cuestionario de frecuencia sobre comidas, asignándole tres categorías: comida sin procesar o mínimamente procesada e ingredientes culinarios procesados, comidas procesadas, y comidas ultraprocesadas. Medimos las asociaciones entre el nivel socioeconómico (educación, ingreso por hogar per cápita, y clase ocupacional social) y el porcentaje de la contribución calórica de la comida ultraprocesada, usando modelos de regresión lineal generalizada, ajustados por edad y sexo. Las comidas sin procesar o mínimamente procesadas con ingredientes culinarios procesados contribuyeron al 65,7% del total de la ingesta calórica, seguidos de la comida ultraprocesada (22,7%). Tras los ajustes, el porcentaje de la contribución calórica de la comida ultraprocesada fue un 20% menor entre los participantes con la escuela elemental incompleta, cuando se compararon con los postgraduados. Comparados con los individuos de las clases con ingresos superiores, la contribución calórica de las comidas ultraprocesadas fue un 10%, 15% y 20% menor entre quienes pertenecían a las tres categorías de ingresos más bajas, respectivamente. La contribución calórica de la comida ultraprocesada fue también un 7%, 12%, 12%, y 17% más baja entre los participantes en el nivel ocupacional social más bajo, comparados con aquellos de las clases sociales altas. Los resultados sugieren que la contribución calórica de la comida ultraprocesada es más alta entre quienes proceden de niveles socioeconómicos más altos con una relación dosis-respuesta para las asociaciones establecidas.

Comportamento sedentário e consumo de alimentos ultraprocessados entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2015 / Comportamiento sedentario y consumo de alimentos ultraprocesados entre adolescentes brasileños: Encuesta Nacional de Salud del Escolar (PeNSE), 2015 / Sedentary behavior and consumption of ultra-processed foods by Brazilian adolescents: Brazilian National School Health Survey (PeNSE), 2015

Estudo transversal com o objetivo de investigar a associação entre comportamento sedentário e consumo de alimentos ultraprocessados (AUP) em adolescentes brasileiros. Foram utilizados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) realizada em 2015. O consumo diário de pelo menos um grupo de AUP representou o desfecho, e a exposição principal foi o tempo diário de comportamento sedentário (horas em atividades sentado, excluído o tempo dispendido na escola). Foram calculadas prevalências, razões de prevalências e intervalos de 95% de confiança (IC95%). As análises foram ajustadas para sexo, idade, cor da pele, escolaridade materna, índice de bens, região geográfica e dependência administrativa da escola. Cerca de 40% dos escolares reportaram consumo diário de pelo menos um grupo de AUP (39,7%; IC95%: 39,2-40,3) e 68,1% (IC95%: 67,7-68,7) referiram > 2 horas/dia de comportamento sedentário. Entre os escolares com comportamento sedentário > 2 horas/dia, a prevalência de consumo diário de AUP foi de 42,8% (IC95%: 42,1-43,6%), maior do que entre os sem comportamento sedentário (29,8%; IC95%: 29,0-30,5%). Quanto maior o tempo de comportamento sedentário, maior a prevalência de consumo de AUP (valor de p para tendência linear < 0,001). Estratégias que promovam a alimentação saudável e a diminuição de comportamentos sedentários, bem como regulamentações da publicidade de AUP, tornam-se necessárias a fim de evitar que estilos de vida não saudáveis perdurem à idade adulta.

Estudio transversal con el objetivo de investigar la asociación entre el comportamiento sedentario y el consumo de alimentos ultraprocesados (AUP) en adolescentes brasileños. Se utilizaron datos de la Encuesta Nacional de Salud del Escolar (PeNSE), realizada en 2015. El consumo diario de por lo menos un grupo de AUP representó el resultado, y la exposición principal fue el tiempo diario de comportamiento sedentario (horas en actividades sentado, excluido el tiempo transcurrido en la escuela). Se calcularon las prevalencias, razones de prevalencias e intervalos de 95% de confianza (IC95%). Los análisis se ajustaron por sexo, edad, color de la piel, escolaridad materna, índice de bienes, región geográfica y dependencia administrativa de la escuela. Cerca de un 40% de los escolares informaron un consumo diario de por lo menos un grupo de AUP (39,7%; IC95%: 39,2-40,3) y 68,1% (IC95%: 67,7-68,7) informaron > 2 horas/día de comportamiento sedentario. Entre los escolares con un comportamiento sedentario > 2 horas/día, la prevalencia de consumo diario de AUP fue de un 42,8% (IC95%: 42,1-43,6%), mayor que entre quienes no tenían comportamiento sedentario (29,8%; IC95%: 29,0-30,5%). Cuanto mayor es el tiempo de comportamiento sedentario, mayor la prevalencia de consumo de AUP (valor de p para tendencia lineal < 0,001). Estrategias que promuevan la alimentación saludable y la disminución de comportamientos sedentarios, así como una regulación de la publicidad de AUP, fueron necesarias, a fin de evitar que estilos de vida no saludables perduren en la edad adulta.

The aim of this cross-sectional study was to investigate the association between sedentary behavior and consumption of ultra-processed foods (UPF) among Brazilian adolescents. The study used data from the 2015 edition of the Brazilian National School Health Survey (PeNSE). Daily consumption of at least one group of UPF was the outcome, and the principal exposure was daily time spent in sedentary behavior (hours spent sitting, except for time sitting at school). We calculated prevalence rates, prevalence ratios, and 95% confidence intervals (95%CI). The analyses were adjusted for gender, age, skin color, maternal schooling, household assets index, major geographic region, and school's administrative jurisdiction (public versus private). Forty percent of the schoolchildren reported daily consumption of at least one group of UPF (39.7%; 95%CI: 39.2-40.3), while 68.1% (95%CI: 67.7-68.7) reported > 2 hours/day of sedentary behavior. Among schoolchildren with sedentary behavior > 2 hours/day, prevalence of daily consumption of UPF was 42.8% (95%CI: 42.1-43.6%), higher than among those without sedentary behavior (29.8%; 95%CI: 29.0-30.5%). Longer time spent in sedentary behavior was associated with higher prevalence of consumption of UPF (p-value for linear trend < 0.001). Strategies to promote healthy eating and decrease sedentary behavior, as well as regulation of advertising for UPF, are necessary to prevent unhealthy lifestyles from persisting into adulthood.

Ultra-processed foods in human health: a critical appraisal.

The NOVA classification of foods proposes 4 categories: unprocessed or minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods and drinks (UPFDs). It is argued that the latter relies heavily on modifications to foods, resulting in enhanced amounts of salt, added sugar, and fat as well as the use of additives in an attempt to make this food category highly palatable. It further argues that controlling food processing, rather than examining nutrients, should be foremost in shaping nutrition policy. This commentary challenges many of the basic arguments of using the NOVA food classification system to examine the link between food and health. We believe that there is no evidence to uphold the view that UPFDs give rise to hyperpalatable foods associated with a quasi-addictive effect and that the prevailing European Union and US data fail to uphold the assertion that UPFDs, which dominate energy intake, give rise to dietary patterns that are low in micronutrients. With regard to the use of the NOVA food classification in the development of food-based dietary guidelines, we show that the very broad definition of UPFDs makes this impossible. Finally, the available evidence does not support the view that the globalization of food is the driver of increased intakes of UPFDs in low- to middle-income countries but rather that this is driven by small indigenous companies. On balance, therefore, there seems to be little advantage from the use of the NOVA classification compared with the current epidemiologic approach, which relies on the linkage of nutrient intakes to chronic disease with subsequent identification of foods that merit consideration in public health nutrition strategies.

A novel processed food classification system applied to Australian food composition databases.

BACKGROUND: The extent of food processing can affect the nutritional quality of foodstuffs. Categorising foods by the level of processing emphasises the differences in nutritional quality between foods within the same food group and is likely useful for determining dietary processed food consumption. The present study aimed to categorise foods within Australian food composition databases according to the level of food processing using a processed food classification system, as well as assess the variation in the levels of processing within food groups. METHODS: A processed foods classification system was applied to food and beverage items contained within Australian Food and Nutrient (AUSNUT) 2007 (n = 3874) and AUSNUT 2011-13 (n = 5740). The proportion of Minimally Processed (MP), Processed Culinary Ingredients (PCI) Processed (P) and Ultra Processed (ULP) by AUSNUT food group and the overall proportion of the four processed food categories across AUSNUT 2007 and AUSNUT 2011-13 were calculated. RESULTS: Across the food composition databases, the overall proportions of foods classified as MP, PCI, P and ULP were 27%, 3%, 26% and 44% for AUSNUT 2007 and 38%, 2%, 24% and 36% for AUSNUT 2011-13. Although there was wide variation in the classifications of food processing within the food groups, approximately one-third of foodstuffs were classified as ULP food items across both the 2007 and 2011-13 AUSNUT databases. CONCLUSIONS: This Australian processed food classification system will allow researchers to easily quantify the contribution of processed foods within the Australian food supply to assist in assessing the nutritional quality of the dietary intake of population groups.