Food, energy, and nutrient supply in Mexican households from 1984 to 2018.

To analyze the contribution of natural, processed and ultra-processed foods to energy and nutrient supply in Mexican households. The database of the National Household Expenditure Survey 2013 was analyzed (n=58 001), which is a cross-sectional survey. Food supply (g/adult equivalent/day) and energy, macro- and micro-nutrient supplies were estimated. Foods were classified following the NOVA system. Households sociodemographic characteristics were analyzed as covariates. Natural foods (NF) contributed with more energy (55.0%) followed by ultra-processed foods (UPF, 21.2%). NF were the main source of most nutrients. Processed culinary ingredients (PCI) and processed foods (PF) had high content of energy, total fats, and saturated fats, but low content of certain micronu- trients. Sodium was mainly available in PF (34.6%) and UPF (31.4%). Sugar-sweetened beverages, fast foods, and biscuits and cookies were the main UPF in terms of energy supply. In Mexican households, the PCI, PF and UPF had low nutritional quality.

Studies from Latin America have shown that food insecurity reduces dietary diversity. However, dietary diversity measures do not account for the energy and nutrient supply in households. The objective of our study was to know whether there are differences in food, energy and nutrients supplies in Mexican households according to their food insecurity level. We analyzed the database of the National Household Income and Expenditure Survey performed in Mexico in 2014. The modified Latin-American and Caribbean Food Security Scale was used to determine the existence of household food security or insecurity. Participants registered foods and beverages available at their homes during the previous week. The supply of energy and nutrients was estimated using Mexican and American food composition references. Mexican food secure households had greater supply of healthy (e.g., fresh fruits and vegetables, fish and seafood, and fresh meats) and unhealthy (e.g., processed meats, fries, sugar-sweetened beverages, desserts, and alcoholic beverages) foods. By contrast, food insecure households rely on cheap staple food (e.g. maize, rice, pulses, eggs, and sugar). There was a linear relationship between the energy density and severity of food insecurity. Households with mild and moderate food insecurity had greater total energy supplies than households with food security and severe food insecurity. Food insecure households had greater supplies of carbohydrates, cholesterol, iron, and magnesium, but lower supplies of protein, fat, vitamin C, vitamin A, potassium, calcium, and sodium. Most of the results suggest that food insecure households are exposed mostly to negative aspects of the nutrition transition because they have greater access to energy and lower availability of some micronutrients.

Influence of energy and nutrient supply pre and post partum on performance of multiparous Simmental, Brown Swiss and Holstein cows in early lactation

Although organic agriculture (OA) is praised unequivocally for its environmental and health benefits, its potential for food security is often questioned because of its perceived lower yield. Least developed countries (LDCs), which have a high prospect of conversion to OA, are underrepresented in the literature related to the yield potential of OA, and its impact on regional food security. This paper aims to assess food and nutrient (calorie, protein, and fat) supply, thereby contributing to food security, from OA using yield ratio (YR) in LDCs and to compare this with North America (NA). Literature is the main source of data to estimate YR. Food supply data available in FAOSTAT for 1963–2013 along with the YR is used to estimate food and nutrient supply from OA in 2013. YR of crops shows a higher yield from OA in LDCs compared to NA. The food supply in LDCs between 1963 and 2013 increased at a higher rate than in NA. However, per capita nutrient supply is growing at a meager rate in LDCs; calorie and protein supply are just above the minimum threshold level and fat supply is still below the threshold level. Cereal is the single most important food item contributing to nutrient supply in LDCs, indicating a lack of dietary diversity. Thus, with relatively higher yields and crop diversity, and localized production and distribution systems, OA will have important contributions in dealing with persistent food insecurity in LDCs. However, a concerted effort is necessary to achieve yield gain and wider acceptance of OA.

Comparison of energy evaluation systems and a mechanistic model for milk production by dairy cattle offered fresh grass-based diets

The aim of the present study was to analyze the supply of energy, 19 nutrients, free sugars, and dietary fiber in the average Polish diet from fruit and fruit products. Our analysis is based on 2016 data from the national representative household budget survey conducted on a sample of 36,886 households, yielding a population of 99,230 individuals. Fruit and fruit products provided 3.12% of energy to the average diet in Poland with the highest share of bananas and apples. The highest significance of this food group was found for vitamin C (23.65%), including citrus fruits providing 8.03% of vitamin C, berries (5.97%), other fruits (3.45%), and apples (3.13%). The share of fruit and their products in the supply of free sugars is equally high and amounts to 23.52%. This means that apples provide 6.34% of free sugars, while other fruits also have a high supply of free sugars, including berries 3.68%, stone fruits 3.06%, bananas 2.56%, and citrus fruits 2.54%. The proportion of supply exceeding the percentage of energy (which was 3.12%) was obtained for carbohydrate (5.79%), and fiber (13.66%). The food group studied was particularly important (more than 5% share) in providing four minerals: potassium (8.59%), iron (5.07%), magnesium (5.51%), copper (8.81%), and three vitamins: vitamin C (23.65%), vitamin B6 (5.74%), and vitamin E (5.53%). The influence of sociodemographic and economic characteristics of households on the structure of energy and nutrient supply from fruit and fruit products was assessed using cluster analysis. There were four clusters characterized by different energy, nutrient, and fiber supply. The factors with the highest statistical significance on the supply of energy, nutrients, and fiber from fruit and fruit products were month of study, income, degree of urbanization, education, size of town, and land use. The obtained results concerning energy and nutrient supply from fruits and fruit products are important for the Polish society from the public health point of view, as indicated in the discussion of results and conclusions.

School food in child daycare centers: Poor in macro and micronutrients

Are all ultra‐processed foods created equal?

Consumption of ultra-processed foods predicts diet quality in Canada

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.

Background During the past decades, human diet has evolved towards higher intakes of processed and ultraprocessed food. We have investigated the association between these food groups and the risk of inflammatory bowel disease (IBD) in the European Prospective Investigation into Cancer and Nutrition. Methods 413 590 participants from 8 European countries were included. Dietary data were collected at baseline from validated food frequency questionnaires. All EPIC food items were expressed as g/day and categorized according to the NOVA classification: “group 1—unprocessed or minimally processed foods”; “group 2—processed culinary ingredients”; “group 3—processed foods”; and “group 4—ultra-processed foods (UPFs)”. Because the EPIC dietary questionnaires were conceived before the NOVA classification, the food items were retrospectively categorized into this classification. Some food items collected in the EPIC questionnaires were difficult to categorize into group 3 or 4. We therefore merged them into a single category. We tested three scenarios for the estimation of the dietary content of this merged category: lower, middle and upper contents of groups 3 + 4. The association between the proportion of each NOVA group in the diet and IBD were estimated using Cox proportional hazard models to obtain Hazards Ratios (HRs) and 95% confidence intervals. We adjusted the HR for smoking status, educational level, physical activity, BMI, alcohol consumption and energy intake and stratified by centre, age at baseline (1-y interval), and sex. Results After a mean follow-up of 16 years, 179 Crohn’s disease (CD) and 431 ulcerative colitis (UC) cases were identified. NOVA group 1 was negatively associated with CD risk (adjusted HR for the fourth vs. the first quartile = 0.58; 95% CI = 0.35–0.95; P-trend = 0.03). Within group 1, fruit intake was the only food item to be negatively associated with the risk of IBD (adjusted HR for the fourth vs. the first quartile = 0.42; 95% CI = 0.24–0.73; P-trend = 0.003). We found numerical associations between group 3 + 4 and the risk of CD with the middle or upper scenarios (adjusted HRs for the fourth vs. the first quartile = 1.50; 95% CI = 0.92–2.46; P-trend = 0.12 and 1.41; 95% CI = 0.88–2.27; P-trend = 0.09 respectively). There was no association between any category of the NOVA classification and UC risk. Conclusion In the EPIC cohort, consumption of non-processed food was associated with a lower risk of CD while consumptions of processed or ultra-processed food were numerically associated with increased risk of CD. We found no association with UC.

ObjectiveThis study investigates nutritional quality, environmental impact and costs of foods and drinks and their consumption in daily diets according to the degree of processing across the Dutch population.DesignThe NOVA classification was used to classify the degree of processing (ultra-processed foods (UPF) and ultra-processed drinks (UPD)). Food consumption data were derived from the Dutch National Food Consumption Survey 2012–2016. Indicators assessed were nutritional quality (saturated fatty acids (SFA), sodium, mono and disaccharides (sugar), fibre and protein), environmental impact (greenhouse gas (GHG) emissions and blue water use) and food costs.SettingThe Netherlands.ParticipantsFour thousand three hundred thirteen Dutch participants aged 1 to 79 years.ResultsPer 100 g, UPF were more energy-dense and less healthy than unprocessed or minimally processed foods (MPF); UPF were associated with higher GHG emissions and lower blue water use, and were cheaper. The energy and sugar content of UPD were similar to those of unprocessed or minimally processed drinks (MPD); associated with similar GHG emissions but blue water use was less, and they were also more expensive. In the average Dutch diet, per 2000 kcal, ultra-processed foods and drinks (UPFD) covered 29% (456 g UPF and 437 g UPD) of daily consumption and 61% of energy intake. UPFD consumption was higher among children than adults, especially for UPD. UPFD consumption determined 45% of GHG emissions, 23% of blue water use and 39% of expenses for daily food consumption. UPFD consumption contributed 54% to 72% to daily sodium, sugar and SFA intake.ConclusionsCompared with unprocessed or minimally processed foods and drinks, UPF and UPD were found to be less healthy considering their high energy, SFA, sugar and sodium content. However, UPF were associated higher GHG emissions and with less blue water use and food costs. Therefore daily blue water use and food costs might increase if UPF are replaced by those unprocessed or minimally processed. As nutritional quality, environmental impacts and food costs relate differently to the NOVA classification, the classification is not directly applicable to identify win–win-wins of nutritional quality, environmental impact and costs of diets.

Processing the evidence to evaluate mechanisms, costs and future solutions.

Introdução: A segunda edição do Guia Alimentar para a População Brasileira utiliza a classificação NOVA de alimentos nas recomendações para uma alimentação saudável. Essa classificação, portanto, desempenha importante papel na formação de nutricionistas. Objetivo: Comparar o conhecimento da classificação NOVA de alimentos entre estudantes ingressantes e concluintes de Nutrição. Métodos: Estudo transversal realizado em 2016 com estudantes ingressantes e concluintes de um curso de Nutrição do Mato Grosso do Sul. Questionário contendo 30 alimentos foi aplicado com estudantes que os classificaram em: in natura ou minimamente processado, ingrediente culinário processado, processado ou ultraprocessado. O conhecimento foi avaliado por meio de escore de classificações corretas, global e por grupo alimentar. Para análise comparativa, foi utilizado teste U de Mann-Whitney (significância p≤0,05). Resultados: Participaram 69 estudantes (64% ingressantes). O escore global de classificações corretas foi significativamente maior (p=0,000) nos concluintes (mediana=17) comparado aos ingressantes (mediana=14). O escore de classificações corretas entre ingressantes e concluintes apresentou diferenças significativas para todos os grupos alimentares, excetuando ingredientes culinários (p=0,117). Entre todos estudantes, o grupo ingrediente culinário obteve o menor percentual de acertos (24,1%), e ultraprocessado, obteve o maior percentual (77,8%). Conclusão: Apesar do maior conhecimento dos concluintes em relação aos ingressantes, identificou-se um conhecimento insatisfatório sobre a classificação NOVA em ambos. É importante garantir o aprendizado de estudantes de Nutrição quanto à NOVA, uma vez que esta classificação é central na orientação nutricional da população brasileira e, portanto, passa a ser ferramenta fundamental na atuação do profissional nutricionista.

We Are What We Eat: The Association Between Ultra-Processed Food Consumption, Colon Cancer Risk and All-Cause Mortality