The NOVA classification system: A critical perspective in food science

Quality of nutritional uptake of community-dwelling, care-dependent older adults in Zurich

OBJECTIVE

This study evaluated the quality of nutritional uptake of the care-dependent, community-dwelling older adults.

METHODS

Community-dwelling care-dependent elders were recruited in this study. The food items along with their nutritional content were extracted from the participants' refrigerators and categorized according to the NOVA classification (G1: unprocessed/minimally processed; G2: processed culinary ingredients; G3: processed; G4: ultra-processed). The nutritional information of the food items was entered into a dietary analysis software that analyzed the content. Data was verified for a normal distribution and non-parametric tests were applied for statistical analysis (p < 0.05).

RESULTS

100 subjects (mean age = 81.1±9.5 y; mean MMSE: 26.6±6.8) participated in this study. The participants had significantly more G1 than G2, G3 or G4 (p < 0.001) foods. Women had more G1 items in their refrigerators than men (rs = 0.372, p < 0.001). Higher socio-economic status indicated a presence of more G1 (rs = 0.313, p = 0.002), G2 (rs = 0.342, p < 0.001) and G4 (rs = 0.237, p = 0.024) foods. Higher cognitive scores revealed an increase in presence of G4 (rs = 0.238, p = 0.023) items. Participants with an increased need for assistance had less G2 (rs = -0.332, p = 0.001), and G4 (rs = -0.215, p = 0.041) foods; age had no influence.

CONCLUSION

The findings of this study confirm that the majority of care-dependent, community-dwelling adults procured healthy dietary aliments for their daily living; however, whether this correlated to the actual nutritional state of these older adults needs to be further investigated. This highlights the need for further investigation and tailored interventions to ensure good nutrition, emphasizing regular assessments and comprehensive support beyond just food access.

CLINICAL RELEVANCE

Clinicians must recognize that access to healthy food alone may not ensure good nutrition in older adults. Regular nutritional assessments, personalized dietary interventions, and additional support services like meal preparation assistance, nutritional counseling, and tailored programs are essential to address specific dietary needs and preferences.

Child feeding practices in rural Ethiopia show increasing consumption of unhealthy foods

The quality of complementary feeding can have both short- and long-term health impacts by delaying or promoting child growth and establishing taste preferences and feeding behaviours. We aimed to assess the healthy and unhealthy feeding practices of infants and young children in rural Ethiopia. We conducted two rounds of surveys in December 2017/18 in Habru district, North Wello, rural Ethiopia among caregivers of infants and young children (N = 574). We characterised the consumption of infants and young children using non-quantitative 24 h recall and the World Health Organization infant and young child feeding indicators. Sociodemographic characteristics, anthropometry and haemoglobin concentrations were assessed. Breastfeeding was a norm as 82% and 67% were breastfed in the first and second rounds. Between the two rounds, dietary diversity increased from 5% to 17% (p < 0.05), but more pronounced increases were observed in the consumption of ultra-processed food (UPFs). Up to one-in-five (22%) of the children consumed UFPs. With an average of only three food groups consumed, the consumption of nutrient-dense foods like animal source foods, fruits and vegetables was very low particularly among younger children. UPFs are an additional risk factor that contributes to poor quality diets. Behavioural Change Communication interventions, including those in rural areas, should explicitly discourage the consumption of UPFs. Future studies should aim to quantify the amount of UPFs consumed and evaluate how this is associated with diet adequacy and nutritional outcomes.

Development of the modified Highly Processed Food Withdrawal Scale (mProWS)

The Highly Processed Food Withdrawal Scale (ProWS) is a 29-item measure that operationalizes physical and psychological indicators of withdrawal symptoms associated with cutting down on the consumption of ultra-processed foods. The current study developed a briefer 7-item version of the ProWS (modified ProWS; mProWS) using the participant sample from the ProWS validation paper (n = 231). Then, in an independent sample recruited from Amazon Mechanical Turk, 244 participants (55.3% females) completed the mProWS, the ProWS, and measures of eating-related constructs in order to evaluate the psychometric properties of the mProWS, relative to the ProWS. The mProWS and the ProWS performed similarly on indexes of reliability, convergent validity with addictive-like eating behavior (e.g., Yale Food Addiction Scale 2.0 symptom count), discriminant validity with distinct measures (e.g., cognitive desire to restrict food consumption), and incremental validity evidenced by associations with weight cycling above and beyond body mass index (BMI) and YFAS 2.0 symptoms. The mProWS may be an appropriate choice for studies with higher participant burden (e.g., ecological momentary assessment) to assess withdrawal symptoms in real-time when they occur in response to cutting down on ultra-processed foods.

Nutrition classification schemes for plant-based meat analogues: Drivers to assess nutritional quality and identity profile

Changes in dietary patterns promoted by the emergence of alternative food systems are becoming increasingly common. The decrease in the consumption of animal-derived products promoted exponential growth in plant-based product demand and, consequently, the availability of several meat analogues for this consumer market. Plant-based meat analogues (PBMAs) were developed to mimic the physical and sensory characteristics of meats and their derivatives. Therefore, the composition of these products has been studied in some countries as an attempt to evaluate their nutritional quality in comparison with that of traditional meat products. The main aim of this study was to employ different Nutrition Classification Schemes (NCSs) to assess the nutritional quality of plant-based meat and to discuss the application of one or more NCSs in defining the identity and quality profile of these foods. Five NCSs were used: three nutrient-based (Nutri-Score; Nutrient Profiling Model (NPM) from Brazil; NPM from PAHO); one food-based (NOVA classification); and one hybrid (Plant-Based Nutrient Profile Model). The nutritional composition and ingredients were collected from labels of 349 PBMAs; 117 were classified as burgers, and 182 products employed soy as the main protein ingredient. The use of different NCSs is strategic for PBMAs' nutritional quality evaluation, and the Nutri-Score was able to show the effectiveness of differentiating products as having poor nutritional quality. In this way, the employment of NPM from Brazil is recommended as a driver for PBMAs choices, especially due to the excellent agreement between the Nutri-Score and NPM from Brazil for burgers.

Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle?

Ultra-processed foods (UPFs) like pastries, packaged snacks, fast foods, and sweetened beverages have become dominant in the modern food supply and are strongly associated with numerous public health concerns. While the physical health consequences of UPF intake have been well documented (e.g., increased risks of cardiometabolic conditions), less empirical discussion has emphasized the mental health consequences of chronic UPF consumption. Notably, the unique characteristics of UPFs (e.g., artificially high levels of reinforcing ingredients) influence biological processes (e.g., dopamine signaling) in a manner that may contribute to poorer psychological functioning for some individuals. Importantly, gold-standard behavioral lifestyle interventions and treatments specifically for disordered eating do not acknowledge the direct role that UPFs may play in sensitizing reward-related neural functioning, disrupting metabolic responses, and motivating subsequent UPF cravings and intake. The lack of consideration for the influences of UPFs on mental health is particularly problematic given the growing scientific support for the addictive properties of these foods and the utility of ultra-processed food addiction (UPFA) as a novel clinical phenotype endorsed by 14-20% of individuals across international samples. The overarching aim of the present review is to summarize the science of how UPFs may affect mental health, emphasizing contributing biological mechanisms. Specifically, the authors will (1) describe how corporate-sponsored research and financial agendas have contributed to contention and debate about the role of UPFs in health; (2) define UPFs and their nutritional characteristics; (3) review observed associations between UPF intake and mental health conditions, especially with depression; (4) outline the evidence for UPFA; and (5) describe nuanced treatment considerations for comorbid UPFA and eating disorders.

FooDOxS: a database of oxidized sterols content in foods

Dietary oxidized sterols (DOxS) are cholesterol-like molecules known to exert pro-inflammatory, pro-oxidant, and pro-apoptotic effects, among others. We present the FooDOxS database, a comprehensive compilation of DOxS content in over 1680 food items from 120 publications across 25 countries, augmented by data generated by our group. This database reports DOxS content in foods classified under the NOVA and What We Eat in America (WWEIA) systems, allowing a comprehensive and statistically robust summary of DOxS content in foods. Notably, we evaluated the efficacy of using NOVA and WWEIA classifications in capturing DOxS variations across food categories. Our findings provide insights into the strengths and limitations of these classification systems, enhancing their utility for assessing dietary components. This research contributes to the understanding of DOxS in food processing and suggests refinements for classification systems, holding promise for improved food safety and public health assessments.

Extent of alignment between the Australian Dietary Guidelines and the NOVA classification system across the Australian packaged food supply

AIMS

The Australian Dietary Guidelines are currently being revised and ultra-processed foods have been identified as a high priority action area. To better understand how well the current Dietary Guidelines align with level of processing classifications, the aim of this study was to assess the alignment between the Australian Dietary Guidelines and the NOVA classification system for classifying the healthiness of packaged foods.

METHODS

Data were sourced from the Australian FoodSwitch dataset, which included 28 071 packaged food and beverage products available in major Australian supermarkets in 2022. Products were classified as (i) core or discretionary (Australian Dietary Guidelines) and (ii) non-ultra-processed or ultra-processed (NOVA). Agreement between the two systems (core vs. non-ultra-processed and discretionary vs. ultra-processed) was evaluated using the kappa statistic.

RESULTS

There was 'moderate' agreement (κ = 0.41, 95% CI: 0.40-0.42) between the Australian Dietary Guidelines and the NOVA system, with 69.8% of products aligned across the two systems. Alignment was more common for discretionary foods (80.6% were ultra-processed) than core foods (59.9% aligned were not-ultra-processed). Food categories exhibiting the strongest levels of alignment included confectionary, foods for specific dietary use, and egg and egg products. Discordance was most common for convenience foods, sugars, honey and related products, and cereal and grain products.

CONCLUSIONS

Despite moderate alignment between the Australian Dietary Guidelines and NOVA, the discordance observed for almost one-third of products highlights the opportunity to develop recommendations for ultra-processed foods within the guidelines to advise Australians how these foods should be considered as part of a healthy diet.

Proposal and Validation of a Measurement Scale of the Acceptance of Ultra-Processed Food Products

Today, there is an increasing consumption of ultra-processed food products (UPFs), while more healthy options are available; however, there is no scale available that can adequately measure this phenomenon. In this context, the present study aims to develop and validate a measurement scale of the consumers' acceptance of ultra-processed food products. Research data (n = 478) were analyzed using Exploratory Factor Analysis (EFA), followed by a Confirmatory Factor Analysis (CFA). The results confirm the validity of the proposed measurement scale comprising nine factors: the quality of ultra-processed food products, ability to save time, low affordable price, effortless preparation, convenience, hedonic nature, marketing strategies, satisfaction and purchase intention. The present study makes a noticeable contribution to food marketing, and food companies could consider these factors to design and commercialize ultra-processed foods.

Influence of culinary skills on ultraprocessed food consumption and Mediterranean diet adherence: An integrative review

The Mediterranean diet is a diet pattern with several healthy characteristics, including a high consumption of fresh fruits, vegetables, whole-grain products, and extra virgin olive oil as the main fat source. It is also characterized by a low consumption of processed foods and high-fat meats. However, there has been a nutritional transition such that, because of globalization and economic growth, the consumption of ultraprocessed foods is increasing, comprising 14% to 57% of total energy intake. North America and Australia have the worst prognosis. Further, the younger population consumes greater amounts of ultraprocessed foods compared with adults, whereas the older population has the lowest rates. Among the various factors responsible for the nutritional transition, culinary skills seem an important function of diet quality, but, unfortunately, culinary skills have been little investigated by the scientific community. Higher culinary skills may be related to increased consumption of homemade meals, higher diet quality, and greater consumption of vegetables and fruits and may be associated with higher Mediterranean diet adherence. Consequently, ultraprocessed foods, ready-to-eat food, and delivered meals, as well as meals outside the home, are reduced. Unfortunately, the process of generational transmission of cooking skills is progressively weakening, aggravated by the reduction of free time for home cooking. Still, even though there are few interventions conducted to improve culinary skills, especially those focused on children, the available results suggest that there have been positive changes in the direction of a healthier dietary pattern. This integrative review analyzes consumption levels of ultraprocessed foods. We then consider the extent to which culinary skills affect ultraprocessed food consumption levels and the relative impact on obesity.

Ultra-processed foods consumption among a USA representative sample of middle-older adults: a cross-sectional analysis

The study evaluated the association between ultra-processed foods (UPF) and nutrient intake and identified the socio-demographic characteristics associated with UPF consumption among a nationally representative sample of middle-older adults. Dietary assessment was collected in 2013 using a validated FFQ. The Nova system was used to classify food and drinks into UPF. The percentage of dietary energy from UPF was calculated and used throughout the analyses, and average nutrient intake across quintiles of UPF was evaluated. The determinants associated with the dietary caloric contribution of UPF intake were investigated using linear regression models. A cross-sectional analysis of a nationally representative study of Americans over the age of 50, the Health and Retirement Study, was conducted. The analysis included 6220 participants. The mean age was 65 (se 0·28) years, with 55 % being female. UPF intake accounted for 51 % (se 0·25) of total intake. An increase in the percentage of (%UPF) consumption was correlated with an increase in calories, carbohydrates, saturated fat and sugar, and a decrease in fibre, vitamins and minerals. %UPF intake was inversely associated with being Hispanic, higher income, physical activity, vegetarian diet and Mediterranean diet but positively associated with very low food insecurity. UPF represented half of the calories consumed. A higher %UPF intake was associated with a lower nutrient profile, suggesting decreasing %UPF intake as a strategy to improve the nutritional quality of middle-older adults. A few socio-demographic factors were associated with %UPF, which would help in planning strategies to reduce UPF consumption.

Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study

Metabolic syndrome (MetS) prevalence has augmented globally during recent decades. Over the past years, the consumption of ultra-processed foods (UPFs) has grown significantly worldwide. So, the present research investigated the association between UPFs and MetS in an Iranian sample. This cross-sectional research was conducted on people (n = 8841) in the Fasa cohort study, Fars province, Iran. The participants' dietary consumption over a year, UPF consumption, and MetS diagnosis were evaluated through a 125-item modified food frequency questionnaire, the NOVA food group classification, and the Adult Treatment Panel III of the National Cholesterol Education Program, respectively. The association between the quartiles (Q) of UPF intake and the odds of MetS was estimated using the backward LR method of multivariate analysis. In the multivariate model, after adjusting potential confounders, the association between UPF intake and the odds of MetS was significant (Q4: odds ratio (OR = 3.27; 95% confidence interval (CI): 2.76-3.89). Also, the odds of increasing triglycerides (TG), blood pressure, and fasting blood sugar (FBS) and decreasing high-density lipoprotein cholesterol (HDL-C) were significantly higher in the last quartile compared to the first quartile of UPFs (TG: OR = 1.71; 95% CI: 1.49-1.97, blood pressure: OR = 1.53; 95% CI: 1.30-1.79, FBS: OR = 1.30; 95% CI: 1.10-1.54, and HDL-C: OR = 1.22; 95% CI: 1.08-1.39). The current research found a relationship between UPF intake and MetS and its components, indicating a diet-containing UPFs can be related to the occurrence of noncommunicable diseases.

Exploring the role of the general interest in health on the perceptions of Healthy, Industrialized, and Ultra-processed foods among Brazilians

Food processing includes operations that transform raw materials into new products, ensuring the preservation and supply of safe food; however, this view is not always understood by consumers who tend to associate any type of processing with something negative and harmful to health. Given this, the objective of this study was to explore the associations of Brazilian consumers in relation to healthy foods, industrialized foods, and ultra-processed foods, as well as to evaluate the role of socio-demographic characteristics and interest in health in these associations. To this end, 512 Brazilians completed a word association task on these three concepts and then answered a questionnaire about interest in health and socio-demographic issues. In general, participants associated "Healthy food" mainly with "Unprocessed products." Conversely, "Industrialized foods" and "Ultra-processed foods" were associated with "Processed products," "Negative perceptions," "Health harm," and "Industry". Despite this, it was found that "Industrialized foods" were also perceived positively, mainly due to convenience. Consumer associations were influenced (p ≤ 0.05) both by interest in health and by socio-demographic profile. Individuals with a high interest in health mainly associated "Industrialized foods" and "Ultra-processed foods" with the presence of preservatives, additives, and pesticides, and with diseases. As for those with low interest in health, there was a greater lack of knowledge of the concepts. Doubts and lack of knowledge were observed for "Industrialized foods" and "Ultra-processed foods," mainly among consumers with low educational level. The results indicate the need to develop communication strategies that reach consumers to facilitate understanding and, in this way, help them to make more conscious food choices.

Ultra-processed food and non-communicable diseases in the United Kingdom: A narrative review and thematic synthesis of literature

The social and economic constructs of the United Kingdom (UK) provide a fertile food environment for the dramatic expansion in the ultra-processed food (UPF) market, driving increased UPF consumption. This has coincided with the significant increase in the incidence and prevalence of non-communicable diseases (NCDs) such as obesity, type 2 diabetes, cardiovascular disease, and cancer, with an inherent impact on morbidity and mortality. Our review aims to assess the current epidemiological and public health trends in the United Kingdom, specifically examining consumption of UPFs and subsequent development of NCDs, summarizing existing meta-analytical and experimental approaches. First, we address important socioeconomic and psychosocial domains that may contribute to increased availability and consumption of UPF. Additionally, we explore the putative mechanistic basis for the association between UPFs and NCDs: partly attributable to their energy density, the macro- and micronutrient composition (including high refined carbohydrate, saturated, and trans fats composition, in addition to low fiber and protein content), and artificially engineered additives and other compounds that adversely affect health in inadequately researched pathophysiological pathways. This review highlights the importance of promoting minimally processed diets to both clinical and political decision makers.

Ultra-Processed Foods-Dietary Foe or Potential Ally?

The prevalence of non-communicable diseases (NCDs) has steadily increased in the United States. Health experts attribute the increasing prevalence of NCDs, in part, to the consumption of ultra-processed foods (UPFs) based on epidemiological observations. However, no definitive evidence of causality has been established. Consequently, there is an ongoing debate over whether adverse health outcomes may be due to the low nutrient density per kilocalorie, the processing techniques used during the production of UPFs, taste preference-driven overconsumption of calories, or unidentified factors. Recognizing that "the science is not settled," we propose an investigative process in this narrative review to move the field beyond current controversies and potentially identify the basis of causality. Since many consumers depend on UPFs due to their shelf stability, affordability, availability, ease of use, and safety from pathogens, we also suggest a paradigm for guiding both the formulation of UPFs by food designers and the selection of UPFs by consumers.

Associations between ultraprocessed and minimally processed snacks consumption and overweight/obesity among college students in South Florida

OBJECTIVE

Evaluate the association between ultraprocessed and minimally processed snack consumption and overweight/obesity among college students.

PARTICIPANTS

College students.

METHODS

Cross-sectional study. Participants completed an online survey with questions on socio-demographics, beverages and snacks consumption, and weight status. ANCOVA and logistic regression was used; analyses were adjusted for age, sex, race/ethnicity, physical activity, and sleep duration.

RESULTS

A total of 435 students completed all questions in the survey. Most students were female (73.3%), Hispanics (61.1%), had a mean age of 24.7-year old and 40% had overweight/obesity. Those with overweight/obesity also had higher odds of consuming soft drinks in higher frequency and quantity than those without overweight/obesity (p < .05). Never consuming unsweetened yogurt/cheese and lower frequency and consumption of fruits were associated with higher odds of overweight/obesity (p < .05).

CONCLUSION

Higher frequency and consumption of soft drinks while lower frequency and consumption of unsweetened yogurt/cottage cheese and fruits were associated with overweight/obesity.

Ultra-processed food consumption and human health: an umbrella review of systematic reviews with meta-analyses

Recently, ultra-processed foods received a lot of attention, but also criticism. Our aim was to provide an overview of the existing evidence of ultra-processed food consumption on human health. We conducted a systematic search in four databases until January 5th, 2024. Systematic reviews with meta-analyses on ultra-processed food consumption as defined by the NOVA classification system were included. The certainty of evidence was evaluated by the GRADE approach. We identified 16 publications. Moderate certainty of evidence was found for all-cause mortality (Summary Risk Ratio per 50 g: 1.02; 95% confidence Interval (CI): 1.01, 1.03), cardiovascular disease incidence and mortality (per 50 g/d: 1.04; 95% CI: 1.02, 1.06, and 1.05; 95% CI: 1.01, 1.08), type 2 diabetes incidence (per 10%: 1.12; 95% CI: 1.10, 1.13) and colorectal cancer (per 10%: 1.04; 95% CI: 1.01, 1.07). For several outcomes such as inflammatory bowel diseases, obesity, metabolic syndrome, nonalcoholic fatty liver disease, mental health as well as nutrient quality, similar estimates were observed, but certainty of evidence was limited. Discussing the NOVA concept, it remains unclear whether the processing of foods leads to increased health risks or if ultra-processed food consumption is only a measure for poor diet quality.

The Human Interference Scoring System (HISS): A New Tool for Quantifying Food Quality Based on Its Level of Processing

The Human Interference Scoring System (HISS) is a novel food-based diet-quality-classification system based on the existing NOVA method. HISS involves food and fluid allocation into categories from digital imagery based on food processing levels, followed by meal plan analysis using food-servings quantification. The primary purpose of this work was to evaluate the reliability of HISS. Trained nutrition professionals analyzed digital photographs from five hypothetical 24 h food recalls and categorized foods into one of four HISS categories. A secondary purpose was to assess the nutrient composition of the food recalls and other selected foods from the HISS categories. Participants effectively categorized foods into HISS categories, with only minor discrepancies noted. High inter-rater reliability was observed in the outer HISS categories: unprocessed and ultra-processed foods. Ultra-processed items consistently displayed elevated energy, carbohydrates, and sugar compared to unprocessed foods, while unprocessed foods exhibited notably higher dietary fiber. This study introduces the HISS as a potentially useful tool for quantifying a food-quality-based system using digital-photography-based assessments. Its high inter-rater reliability and ability to capture relationships between food processing levels and nutrient composition make it a promising method for assessing dietary habits and food quality.

Associations of minimally processed and ultra-processed food intakes with cardiovascular health in Korean adults: the Korea National Health and Nutrition Examination Survey (KNHANES VI), 2013-2015

BACKGROUND

Although recent studies have suggested the adverse effects of processed foods on cardiovascular disease, few studies have been conducted on the effects of food processing on cardiovascular health (CVH) in Koreans.

OBJECTIVE

This study aimed to investigate the associations of minimally processed foods (MPF) and ultra-processed foods (UPF) intakes with CVH.

METHODS

We used the data of 6945 adults (≥19) from the sixth Korea National Health and Nutrition Examination Survey. MPF and UPF intakes were based on the NOVA food classification. Using Life's simple 7 (LS7) proposed by the American Heart Association, the CVH indicator was estimated as the sum (0-12) of the scores of six components. Multiple linear and multinomial logistic regressions were used to estimate the associations between processed food intakes and CVH.

RESULTS

The mean (standard error) of MPF and UPF intake was 61.28 (0.28) and 20.27 (0.24) %kcal/day, respectively. After adjusting for sex, age, household income, educational attainment, family history of CVD, and stress, we found significant positive associations between MPF intake and CVH (p value < 0.001), while associations between UPF intake and CVH were significantly negative (p value < 0.001). Moreover, the magnitude of the observed association was more distinctive in females (p-interaction < 0.01) and with increasing age (p-interaction < 0.001).

CONCLUSIONS

A high intake of MPF is associated with improved CVH, while a high intake of UPF is associated with poorer CVH in Korean adults. Therefore, public health policies should be established to promote the choice of less processed foods to improve CVH among South Korean adults.

IMPACT STATEMENT

In modern society, processed foods have become ubiquitous and South Korea's consumption of processed foods is very high. This study had shown that the more processed a food is, the more negative impact it can have on cardiovascular health. Therefore, researching the effects of processed foods on the human body can increase understanding of population health and aid in the development of prevention and treatment strategies.

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.

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

BACKGROUND

The Food Compass Score (FCS) is a novel nutrient profiling system, which evaluates food and diet quality. The present study aimed to prospectively assess the relationship of FCS with short-term (10 years) and long-term (20 years) cardiovascular disease (CVD) incidence and to explore whether this relationship is modified by long-term adherence to a Mediterranean type diet (MTD).

METHODS

Volunteers of the ATTICA cohort study, with complete data for the calculation of FCS and incident CVD were included (n = 759). Development of CVD was determined at 10 and 20 years after baseline. Dietary intake was assessed through a validated food frequency questionnaire. The FCS was calculated for each participant based on the published algorithm. Long-term adherence to a MTD was evaluated through MedDietScore.

RESULTS

FCS was inversely associated with CVD incidence (hazard ratio [HR] for 20-year follow-up = 0.97, 95% confidence interval [CI] = 0.95-0.99; HR for 10-year follow-up = 0.98, 95% CI = 0.96-1.01) in the total sample, as well as in those with a high baseline adherence to a MTD (HR for 20-year follow-up = 0.96, 95% CI = 0.93-0.99; HR for 10-year follow-up = 0.98, 95% CI = 0.95-1.02). FCS was also inversely associated with CVD risk in those who went away from the MTD (HR = 0.97, 95% CI = 0.96-0.99).

CONCLUSIONS

FCS, a novel tool for assessing overall diet quality, was also found to be useful in identifying potential CVD candidates in a long-term period, even in populations with good background dietary habits, such as those following a MTD.

Examination of the interrelationships between nutrition, environmental sustainability and food-processing: A concept study using model diets

Recent work has focused on understanding the link between diet quality and environmental impact, however it is also important to consider the role food processing plays in this relationship. Using model meal plans, this paper examines the link between nutrient content, environmental impact, and processing. Four distinct meal plans were considered - 'Healthy', 'Unhealthy', 'Healthy (plant-based)', 'Healthy (plant-based, processed)'. For each a variety of environmental impact, processing and nutritional composition metrics were compared. Alternative healthy eating index (AHEI) score for the Unhealthy diet was significantly lower than the other three diets. The 'Healthy (plant-based)' diet had the highest AHEI score but was not significantly different to the 'Healthy (plant-based, processed)' and 'Healthy' diet scores. The greenhouse gas emissions for the two plant based diets were not significantly different to each other or to the 'Healthy' diet but were significantly lower than the 'Unhealthy' diet. The 'Healthy', 'Unhealthy', and 'Healthy (plant-based)' diets had similar processing specific energy consumption values however, the 'Healthy (plant-based, processed)' diets had significantly greater specific energy consumption. There was no clear link between diet quality and food processing when considered using processing specific energy value. When the number of processes in each diet was estimated, the unhealthier diet had considerably more processes associated with it. Examining the interaction of nutritional quality, environmental impact and processing of diets in this way highlights the complexity of the inter-relationships. Understanding these interactions is necessary to support the transition to healthy diets from sustainable sources.

Is There a Convergence between the Food Classification Adopted by Food-Based Dietary Guidelines and Food Science and Technology?

The World Health Organization (WHO) proposed the dietary guidelines presented as the Food-based Dietary Guidelines (FBDG). The FBDG classify foods according to their origin, nature, nutrient source, food group, and processing level. Food science and technology (FST) ranks food according to its origin, perishability, nutrient source, processing, food group, and formulation. This paper aimed to compare the convergence points for food classification according to the FBDG and FST. This study was carried out in two phases. The first step was identifying the Food-Based Dietary Guidelines (FBDG). For each of the FBDG, food items were grouped as fruits, vegetables, cereals, sugars, fat and oils, legumes, foods from animals, dairy products, and others. The second step aimed to identify and describe the different food classification systems. The search was performed on PubMed®, Science Direct, and Web of Science and websites of international organizations such as the Food and Agriculture Organization of the United Nations (FAO), the World Health Organization (WHO), and the Codex Alimentarius. Our results show that the points of convergence between the classifications were the classification in terms of origin (animal and vegetable), nutrient sources, and food groups. However, inconsistencies were observed for the distribution of food items in each group in the 98 surveyed FBDG. As for nature, there was a convergence for in natura, minimally processed, and processed foods. However, the criteria adopted for minimally processed and processed foods described in the FBDG differ from those considered by the FST. FST also does not recognize the classification of foods concerning the level of processing.

The association of ultra-processed food consumption with adult mental health disorders: a systematic review and dose-response meta-analysis of 260,385 participants

OBJECTIVE

We aimed to conduct a systematic review and meta-analysis of observational studies examining the relationship between ultra-processed food (UPF) consumption and the risk of mental health disorders.

METHODS

The ISI Web of Science, PubMed/MEDLINE, and Scopus databases were searched without date restriction until 28 December 2021. Data were extracted from 26 studies, including 260,385 participants from twelve countries. Risk ratios for mental health disorders were pooled by a random-effects model.

RESULTS

Meta-analyses suggested that UPF consumption was associated with an increased risk of depression (RR = 1.28; 95% CI: 1.19, 1.38; I2 = 61.8%; p = 0.022) but not anxiety (RR = 1.35; 95% CI: 0.86, 2.11; I2 =  77.8%; p = 0.198). However, when analyzed for the dietary assessment method, UPF consumption was significantly associated with an enhanced risk of depression among studies utilizing food frequency questionnaires (RR = 1.31; 95% CI: 1.21, 1.41; I2 = 60.0%; p < 0.001) as opposed to other forms of dietary recall approaches. Additionally, for every 10% increase in UPF consumption per daily calorie intake, 11% higher risk of depression (RR = 1.11; 95% CI: 1.01, 1.17; I2 = 88.9%; p < 0.001) was observed among adults. Dose-response analysis further emphasized a positive linear association between UPF consumption with depression risk (p-nonlinearity = 0.819, p-dose-response = p < 0.001).

CONCLUSION

Our findings indicate that UPF consumption is related to an enhanced depressive mental health status risk. There may be different causes for this increased risk, and further studies are needed to investigate if there is a causal relationship between consumption of UPF and mental health.

Association between ultra-processed foods consumption and risk of non-alcoholic fatty liver disease: a population-based analysis of NHANES 2011-2018

An increasing number of studies have evaluated the association between ultra-processed foods (UPF) consumption and metabolic disorders. However, the association between UPF intake and non-alcoholic fatty liver disease (NAFLD) remains unclear. In this study, we analysed data from 6545 participants who were recruited in National Health and Nutrition Examination Surveys 2011-2018. UPF were defined in light of the NOVA food classification system and divided into quartiles based on its proportion of total weight intake. Complex logistic regression models were used to assess the association between UPF and NAFLD. Mediation analyses were conducted to reveal underlying mediators. We found that NAFLD patients consumed more UPF than controls (925·92 ± 18·08 v. 812·70 ± 14·32 g/d, P < 0·001). Dietary intake of UPF (% weight) was negatively related to the Healthy Eating Index-2015 score (Spearman r = -0·32, P < 0·001). In the multivariable model, the highest quartile compared with the lowest, the OR (95 % CI) were 1·83 (1·33, 2·53) for NAFLD (OR per 10 % increment: 1·15; 95 % CI: 1·09, 1·22; P for trend < 0·001) and 1·52 (1·12, 2·07) for insulin resistance (OR per 10 % increment: 1·11; 95 % CI: 1·05, 1·18; P for trend = 0·002). Mediation analyses revealed that poor diet quality, high saturated fat and refined grain intake partly mediated the association between UPF and NAFLD. In conclusion, high UPF intake was associated with an increased risk of NAFLD in US adults. Further prospective studies are needed to verify these findings.

Accelerating the Classification of NOVA Food Processing Levels Using a Fine-Tuned Language Model: A Multi-Country Study

The consumption and availability of ultra-processed foods (UPFs), which are associated with an increased risk of noncommunicable diseases, have increased in most countries. While many countries have or are planning to incorporate UPF recommendations in their national dietary guidelines, the classification of food processing levels relies on expertise-based manual categorization, which is labor-intensive and time-consuming. Our study utilized transformer-based language models to automate the classification of food processing levels according to the NOVA classification system in the Canada, Argentina, and US national food databases. We showed that fine-tuned language models using the ingredient list text found on food labels as inputs achieved a high overall accuracy (F1 score of 0.979) in predicting the food processing levels of Canadian food products, outperforming traditional machine learning models using structured nutrient data and bag-of-words. Most of the food categories reached a prediction accuracy of 0.98 using a fined-tuned language model, especially for predicting processed foods and ultra-processed foods. Our automation strategy was also effective and generalizable for classifying food products in the Argentina and US databases, providing a cost-effective approach for policymakers to monitor and regulate the UPFs in the global food supply.

Novel plant-based meat alternatives: future opportunities and health considerations

Present food systems threaten population and environmental health. Evidence suggests reduced meat and increased plant-based food consumption would align with climate change and health promotion priorities. Accelerating this transition requires greater understanding of determinants of plant-based food choice. A thriving plant-based food industry has emerged to meet consumer demand and support dietary shift towards plant-based eating. 'Traditional' plant-based diets are low-energy density, nutrient dense, low in saturated fat and purportedly associated with health benefits. However, fast-paced contemporary lifestyles continue to fuel growing demand for meat-mimicking plant-based convenience foods which are typically ultra-processed. Processing can improve product safety and palatability and enable fortification and enrichment. However, deleterious health consequences have been associated with ultra-processing, though there is a paucity of equivocal evidence regarding the health value of novel plant-based meat alternatives (PBMAs) and their capacity to replicate the nutritional profile of meat-equivalents. Thus, despite the health halo often associated with plant-based eating, there is a strong rationale to improve consumer literacy of PBMAs. Understanding the impact of extensive processing on health effects may help to justify the use of innovative methods designed to maintain health benefits associated with particular foods and ingredients. Furthering knowledge regarding the nutritional value of novel PBMAs will increase consumer awareness and thus support informed choice. Finally, knowledge of factors influencing engagement of target consumer subgroups with such products may facilitate production of desirable, healthier PBMAs. Such evidence-based food manufacturing practice has the potential to positively influence future individual and planetary health.

Can Chocolate Be Classified as an Ultra-Processed Food? A Short Review on Processing and Health Aspects to Help Answer This Question

Chocolate is a confectionery product whose consumption has increased, particularly dark chocolate. Chocolate is produced with varying amounts of cocoa liquor (CL), cocoa butter (CB) and cocoa powder (CP). The main chocolate types are dark, milk and white. Processing steps for chocolate production are described, and nutritional compositions examined for benefits and risks to health. Chocolate processing comprises steps at farm level, initial industrial processing for production of CL, CB and CP (common for all chocolate types) and mixing with other ingredients (like milk and sugar differing according to chocolate type) for industrial chocolate processing. All chocolate types present similar processing levels, and none involve chemical processing. Nutritional profiles of chocolate products differ according to composition, e.g., dark chocolate contains more CL, and so a higher antioxidant capacity. Chocolate is an energy-dense food rich in bioactive compounds (polyphenols, alkaloids, amino acids). Studies have demonstrated benefits of moderate consumption in reducing cardiovascular risk and oxidative and inflammatory burden, improving cognitive functions, maintaining diversity in gut microbiota, among others. In our view, chocolate should not be classified as an ultra-processed food because of simple processing steps, limited ingredients, and being an important part of a healthy diet when consumed in moderation.

Ultra-Processed Food, Reward System and Childhood Obesity

Obesity and overweight are a major public health problem globally. Diet quality is critical for proper child development, and an unhealthy diet is a preventable risk factor for noncommunicable diseases (NCDs), such as obesity. Consumption of sugar-sweetened beverages and ultra-processed foods (UPFs) in childhood may increase the BMI/BMI z-score, body fat percentage, or likelihood of overweight. A strict feeding regulation system allows for sufficient food to be consumed to meet ongoing metabolic demands while avoiding overconsumption. This narrative review explores the issues of obesity and the regulation of food intake related to reward systems and UPF consumption. Nutrient composition alone cannot explain the influence of UPFs on the risk of obesity. Furthermore, the non-nutritional properties of UPFs may explain the mechanisms underlying the relationship with obesity and NCDs. UPFs are designed to be highly palatable, appealing, and energy dense with a unique combination of the main taste enhancer ingredients to generate a strong rewarding stimulus and influence the circuits related to feeding facilitation. How individual UPF ingredients influence eating behavior and reward processes remains not fully elucidated. To increase the knowledge on the relationship between UPFs and pediatric obesity, it may be useful to limit the rapid growth in the prevalence of obesity and subsequent related complications, and to develop new strategies for appropriate food and nutrition policies.

Relation of Minimally Processed Foods and Ultra-Processed Foods with the Mediterranean Diet Score, Time-Related Meal Patterns and Waist Circumference: Results from a Cross-Sectional Study in University Students

Ultra-processed foods are associated with chronic diseases, cardiometabolic factors and obesity. According to the NOVA system, foods are classified into four categories (from 1 = unprocessed to 4 = ultra-processed foods). The purpose of the present study was to assess the consumption of minimally processed foods (MPF) and ultra-processed foods (UPF) in university students and their relationship with obesity, Mediterranean diet adherence and meal patterns. In total, 346 students (269 women) of the University of Peloponnese participated. A food frequency questionnaire was used, and the MedDietScore was calculated. The % energy contribution of MPF and UPF was calculated. The identification of meal patterns was performed via principal component analysis. Both multivariate regression and Spearman's correlations were used to measure the association of UPF/MPF consumption with anthropometric indices (body mass index, BMI and waist circumference, WC), Mediterranean diet adherence and early/late meal patterns. UPF and MPF provided 40.7 ± 13.6% and 44.3 ± 11.9% (mean ± standard deviation) of energy intake, respectively. In multi-adjusted linear regression models UPF consumption (% energy) was positively associated with WC in men but it was not related to BMI (total sample, men, women). UPF consumption was negatively related to the MedDietScore (Spearman rho = -0.214, p < 0.001) and an "early eating" pattern (Spearman rho = -0.120, p = 0.029) and positively associated with a "late eating" meal pattern (Spearman rho = 0.190, p = 0.001). MPF consumption was positively associated with the MedDietScore (Spearman rho = 0.309, p < 0.001) and an "early eating" pattern (Spearman rho = 0.240, p < 0.001). In conclusion, UPF consumption was positively related to WC in male university students. Nutritional and sociodemographic correlates of UPF consumption, such as low Mediterranean diet adherence and having a "late eating" pattern serve as a basis to better understand the UPF consumption-central obesity relation in young adults and should be considered in nutrition education programs for young adults.

Profiling consumers with an environmentally sustainable and healthy diet: The case of Spanish households

Our diet has substantial implications not only for our health but also for the environment. However, the two dimensions are not comparable, even though consumers often associate them with their purchasing choices. Promoting more sustainable diets requires a better knowledge of household profiles considering the healthy and organically sustainable character of the food purchased. Previous studies have approached the analysis of consumer profiles separately, differentiating both dimensions without clear conclusion regarding the variables that make up these profiles. In this study, we looked for household profiles by cross-referencing the organic nature of the products consumed (environmental sustainability) with their degree of processing (healthfulness) in Spain. The results show that the most sustainable products are consumed in tiny municipalities (less than 2,000 inhabitants). In contrast, less sustainable products are consumed in high-income, single-family households or households with small children. The person responsible for the purchase is working or between 39 and 45 years old. In conclusion, our study shows that socio-demographic variables are statistically significant in identifying household profiles with sustainable diets.

The clean label trend: An ineffective heuristic that disserves both consumers and the food industry?

What started around the late 2000s as the "Clean Label" (CL) trend has now become a meaningful segment of the food market, appealing to consumers who want foods made of a limited number of simple and recognizable ingredients. However, this description and tentative definitions of CL foods are vague, subject to multiple interpretations, and CL remains an informal denomination for foods, making consumers' demands and food manufacturers' offerings hardly compatible. Therefore, rather than attempting an illusory definition of CL foods, this narrative review aims to (1) show how CL appears to be a heuristic used by consumers to attempt to make safe and healthful food choices, (2) discuss how this heuristic overlooks many critical aspect of food safety and healthfulness and is consequently ineffective to guide consumers' choices, and (3) discuss the implications of the CL trend on the food chain's stakeholders and their relationships.

Periodontitis Is Associated with Consumption of Processed and Ultra-Processed Foods: Findings from a Population-Based Study

The association between periodontitis and lifestyle factors has been widely investigated. However, an association between periodontitis and dietary patterns has not been explored. Therefore, this study investigated the association between periodontitis and food consumption among a Southern Brazil population. Data from the 1982 Pelotas Birth Cohort were used (n = 537). The exposure, periodontitis, was clinically measured and classified using the AAP/CDC system, then two latent variables were defined: ‘initial’ and ‘moderate/severe’ periodontitis. The consumption of in natura, processed, and ultra-processed foods (NOVA classification) was the outcome and measured in calories using the food frequency questionnaire (FFQ). Confounders were sex, maternal education, smoking status, xerostomia, and halitosis. Data were analyzed by structural equation modeling. ‘Initial’ periodontitis was associated with a higher consumption of in natura food (standardized coefficient (SC) 0.102; p-value = 0.040), versus processed (SC 0.078; p-value = 0.129) and ultra-processed (SC 0.043; p-value = 0.400) foods. ‘Moderate/severe’ periodontitis was associated with higher consumption of ultra-processed foods (SC 0.108; p-value = 0.024), versus processed (SC 0.093; p-value = 0.053) and in natura (SC 0.014; p-value = 0.762) foods. ‘Moderate/severe’ periodontitis appears to be associated with the consumption of processed and ultra-processed foods.

Consumption Patterns of Processed Foods in Singapore-A Cross-Sectional Study

The consumption of processed foods is increasingly widespread and could have an impact on diet quality and health. Understanding the factors influencing people's eating habits is useful for assessing such impact. There are limited data on the consumption patterns of processed foods and associated factors influencing the dietary patterns in Singapore. This cross-sectional study based on a food frequency questionnaire aimed to examine how the consumption of processed foods among 2079 Singapore residents aged 18 to 89 years varies with sociodemographic factors. The analysis of the consumption by processed food groups showed that the studied factors, i.e., age, gender, ethnicity, housing and health status, all contributed to differences in processed food consumption to varying extents, with ethnicity being the key factor driving the variation. Such differences were also confirmed to a limited degree by determining another measure of consumption, i.e., a processed food variety score. The findings in this study could inform further work in relation to dietary risks.

On how people deal with industrialized and non-industrialized food: A theoretical analysis

“Canned, frozen, processed, ultra-processed, functional” etc. Two hundred years after the beginning of the food industry, industrialized food has evolved with many labels. Every person in the world eats and has different experiences with food that are connected to culture and social relationships which permeate our daily lives in many kinds of situations. Food evokes feelings, beliefs, desires, and moral values. For many people, food not only satisfies hunger and sustains life, but it also brings a delicious pleasure that is with their history, culture, and ancestry. Today's food industry pushes products through its marketing, which promotes a plethora of claims that have now trended proportionally with neophobic dimensions. In reality, the general public lacks objective knowledge about the complex science of modern food technology because of its low transparency, and this has resulted in the appearance of misleading ideas that can prejudice the correct analysis of food values. Given this, education about food is an urgent need. Notably, food scientists, technologists, and engineers must look at eaters through the prism of consumers who are human beings in all their rich social/anthropological diversity. The objective of this article is to explore the elemental anthropologic aspects of foods and how they can affect consumer's trust in the food industry's role.

How Do Consumers Understand Food Processing? A Study on the Brazilian Population

Food guides are official documents that guide consumers’ food choices. They inform the qualitative classification of food groups and messages on how to adopt a healthy diet. The classifications and nomenclatures adopted in these documents vary according to cultural, nutritional, and scientific criteria. This study aimed to evaluate the understanding of Brazilian consumers regarding food classification according to the Food Guide for the Brazilian Population (FGBP) concepts. An instrument was constructed to assess consumer understanding. It was named “Understanding of the Level of Processing of Food” (ULPF) and validated according to the concepts of constructs presented by psychometrics such as the Delphi methodology. The instrument was composed of 36 items approved by experts (concordance > 80% and with good internal consistency). A total of 2333 Brazilians from all regions participated in the study. The results suggest that food classification according to the level of processing was difficult for participants to understand. About 85% of them did not understand or did not know the definitions and classification of food and preparations according to food and science technology (FST) and the FGBP. More than 50% of the participants believed that it was easier to classify food according to food groups.

Helpful or harmful? The impact of the ketogenic diet on eating disorder outcomes in type 1 diabetes mellitus

INTRODUCTION

Eating disorders (EDs) are common complications in people with type 1 diabetes (PwT1D), given the rigid focus on food and insulin dose adjustment. Dietary recommendations for T1D match those for the general population, yet many fail to achieve target HbA1c. Evidence suggests that lower carbohydrate meals and thus reduced insulin requirements may decrease inconsistencies in insulin absorption, maintain euglycemia and weight. Dietary restriction is a recognized risk factor for ED development, and Ketogenic Diets (KD) involve restriction of common family-based foods, thus impacting social normality and microbiome diversity. We reviewed the current literature on PwT1D following a KD to understand effects on ED risks.

AREAS COVERED

Published data from MEDLINE, Embase, and PsycINFO were used. Search terms included: type 1 diabetes mellitus; or insulin dependent diabetes or T1D AND EDs or anorexia or bulimia or disordered eating AND low-carbohydrate diet or carbohydrate restricted diet or low carb diet or ketogenic diet.

EXPERT OPINION

Research into the effects of KDs on ED outcomes in PwT1D are limited, given the concerns over risks of diabetic ketoacidosis, hypoglycemia, and dyslipidemia. Longer term studies on the participants' experience and motivations of adhering or admonishing the diet are needed.

Perspective: Soy-based Meat and Dairy Alternatives, Despite Classification as Ultra-processed Foods, Deliver High-quality Nutrition on Par with Unprocessed or Minimally Processed Animal-based Counterparts

In many non-Asian countries, soy is consumed via soy-based meat and dairy alternatives, in addition to the traditional Asian soyfoods, such as tofu and miso. Meat alternatives are typically made using concentrated sources of soy protein, such as soy protein isolate (SPI) and soy protein concentrate (SPC). Therefore, these products are classified as ultra-processed foods (UPFs; group 4) according to NOVA, an increasingly widely used food-classification system that classifies all foods into 1 of 4 groups according to the processing they undergo. Furthermore, most soymilks, even those made from whole soybeans, are also classified as UPFs because of the addition of sugars and emulsifiers. Increasingly, recommendations are being made to restrict the consumption of UPFs because their intake is associated with a variety of adverse health outcomes. Critics of UPFs argue these foods are unhealthful for a wide assortment of reasons. Explanations for the proposed adverse effects of UPFs include their high energy density, high glycemic index (GI), hyper-palatability, and low satiety potential. Claims have also been made that UPFs are not sustainably produced. However, this perspective argues that none of the criticisms of UPFs apply to soy-based meat and dairy alternatives when compared with their animal-based counterparts, beef and cow milk, which are classified as unprocessed or minimally processed foods (group 1). Classifying soy-based meat and dairy alternatives as UPFs may hinder their public acceptance, which could detrimentally affect personal and planetary health. In conclusion, the NOVA classification system is simplistic and does not adequately evaluate the nutritional attributes of meat and dairy alternatives based on soy.

How Different Are Industrial, Artisanal and Homemade Soft Breads?

Soft bread has a significant relevance in modern diets, and its nutritional impact on human health can be substantial. Within this product category, there is an extensive range of ingredients, formulations, and processing methods, which all contribute to the vast diversity found in the final products. This work compared the impact of three different processing methods (industrial, artisanal, and homemade preparation) on the technological (formulation and processing, as they are interconnected in real-life conditions), nutritional, and physicochemical properties of soft bread. In total, 24 types of soft bread were analyzed: 10 industrial, 6 artisanal, and 8 homemade. Although production diagrams were similar among the three methods, industrial recipes contained on average more ingredients and more additives. Industrial bread was lower in saturated fat compared to the other two groups, but contained more sugar than homemade bread. The physical properties of all loaves were comparable, with the exception of higher crumb elasticity in industrial bread compared to homemade. An analysis of volatile molecules revealed more lipid oxidation markers in industrial bread, more fermentation markers in artisanal bread, and fewer markers of Maillard reactions in homemade bread. Chemical reactions during processing seem to be the principal criterion making possible to discriminate the different processing methods. These results offer a quantitative assessment of the differences within a single product category, reflecting the real-world choices for consumers.

The Importance of Heating Unit Operations in the Food Industry to Obtain Safe and High-Quality Products

Civilization has begun around 3,500 BCE in Mesopotamia and the realization by people that they could manipulate food to preserve it, through sun drying, fermentation, freezing in the snow, or cooking by fire, was an important factor for the nomadic humans to start settling. Food by nature is subject to spoilage and the application of any kind of preservation method enables storage and weighted consumption. Throughout human history, many techniques have been developed and improved such as heat treatment, drying, freezing, extraction, mixing and the use of preservatives, among others. In the food industry of the modern world, each technique is implemented through sequential steps, known as unit operations. This opinion paper presents an overview of the main heating unit operations used in the food industry, highlighting their benefits to converting raw materials into palatable products with high quality and safe for consumption. Examples are presented to illustrate how several food products available in the market were submitted only to physical transformations based on scientific knowledge. However, there is a range of intensity in physical processing and the applied energy level depends on the nature of the food, target microorganism, storage conditions, type of packaging, and desired shelf-life. The importance of food safety is stressed since processed foods have been criticized for confusion between nutritious values and processing steps. There are still many challenges to the food industry to design the process in optimal conditions for food quality and with less environmental impacts and novel thermal and non-thermal technologies have been studied and implemented.

Consumers’ Understanding of Ultra-Processed Foods

Food classification systems have been proposed to improve food quality criteria. Among these systems, “processing level” has been used as a criterion. NOVA classification, as the denotation “ultra-processed” food (UPF), has been widely used in different countries. However, even though some studies have pointed out some controversial aspects, no study has evaluated its comprehension by the population where it is used as reference. Therefore, this study explored the understanding of the term UPF for Brazilian consumers, where this denotation has been used in the last 8 years. A questionnaire was used, with questions referring to different aspects of self-assessment of knowledge about UPF. Altogether, 939 valid participants completed the questionnaire, and 81.9% of them declared to know the term UPF. For 78.2%, a better definition for UPF should be “foods that have gone through many processes in industry”. Finally, it was concluded that the term UPF is still confusing for most Brazilians, indicating the risk of use and the urgent necessity to improve the classifications systems and consequently consumer understanding. Only when all parties interested in healthy food work together could this problem be solved.

Classification of African Native Plant Foods Based on Their Processing Levels

With increasing advocacy for plant food consumption, the sub-Saharan Africa landscape is home to diverse plant-based food commodities. The need to leverage the advantages of unprocessed/minimally processed foods (PFs) over ultra-processed foods (UPFs) is a system that requires exploitation. Most of the crops produced in the continent are either classified as traditionally or moderately PFs. However, the rise in industrialization and formalization of markets is impacting and marginalizing traditional food processing (FP). Current FP classification frameworks are briefly discussed. The level of processing of cereals, grains, fruits, vegetables, roots, and tuber crops in the continent requires intervention from nutritionists, food scientists, and scientific and governmental bodies to gain a holistic view and tackle the issue of food insecurity in Africa. This study reviews the levels of processing of African foods, challenges, and future directions.