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Background: Ultraprocessed foods (UPFs) comprise >50% of United States adults' energy intake, with the proportion of calories from UPFs increasing over time and the proportion of unprocessed/minimally processed foods (MPFs) decreasing over time. Whether UPFs are primarily consumed at home (AH) or away from home (AFH) is important to inform policies and messages to improve dietary quality., Objectives: We examined trends in consumption of UPFs and MPFs AH and AFH in a nationally representative sample of United States adults and within sociodemographic subgroups., Methods: Data are from 34,628 adults (aged ≥20 y) with two 24-h dietary recalls from the 2003-2018 National Health and Nutrition Examination Survey. We examined trends over time in intake from MPFs and UPFs as a proportion of total energy intake and as a proportion of AH energy intake and AFH energy intake using generalized linear models adjusted for sex, age, race/ethnicity, education, and household income. We examined differences in trends by sociodemographic subgroups using interaction terms and stratified models., Results: Overall, and for most demographic subgroups, UPFs comprised >50% of AH energy intake and >50% of AFH energy intake, with UPFs increasing and MPFs decreasing over time as a proportion of energy intake AH and AFH. The proportion of total energy intake from UPFs increased for food consumed AH (33.6%-37.1%, P-trend < 0.001), but not for UPFs consumed AFH (19.5%-18.8%, P-trend = 0.88). From 2003-2004 to 2017-2018, the proportion of total energy intake from MPFs declined for foods consumed AH (23.6%-20.8%, P-trend <0.001) and AFH (9.7%-7.5%, P-trend <0.001). Interaction terms testing differences in trends of MPF and UPF intake AH and AFH by sociodemographic subgroups were mostly nonsignificant., Conclusions: Findings highlight the ubiquity and increasing proportion of UPFs in United States adults' diets regardless of whether foods are consumed AH or AFH., (Copyright © 2024 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)

Background: Cooking at home has been promoted as a strategy to improve diet quality; however, the association between cooking behavior and ultra-processed food intake is unknown., Objective: The objective of this study was to examine associations between frequency of cooking dinner at home and time spent cooking dinner with ultra-processed food intake., Design: Cross-sectional, nationally representative data from the 2007-2010 National Health and Nutrition Examination Survey were analyzed., Participants/setting: Participants were 9,491 adults (20 years and older) in the United States., Main Outcome Measures: The main outcome measure was the proportion of energy intake (averaged from two 24-hour dietary recalls) from the following 4 Nova food-processing groups: (1) unprocessed or minimally processed foods, (2) processed culinary ingredients, (3) processed foods, and (4) ultra-processed foods., Statistical Analyses Performed: Separate linear regression models examined associations between cooking frequency and time spent cooking dinner and proportion of energy intake from the 4 Nova food-processing groups, adjusting for sociodemographic characteristics and total energy intake., Results: Ultra-processed foods comprised >50% of energy consumed independent of cooking frequency or time spent cooking. Higher household frequency of cooking dinner and greater time spent cooking dinner were both associated with lower intake of ultra-processed foods (P trends < .001) and higher intake of unprocessed or minimally processed foods (P trends < .001) in a dose-response manner. Compared with cooking 0 to 2 times/wk, adults who cooked dinner 7 times/wk consumed a mean of 6.30% (95% CI -7.96% to -4.64%; P < .001) less energy from ultra-processed foods. Adults who spent more than 90 minutes cooking dinner consumed 4.28% less energy from ultra-processed foods (95% CI -6.08% to -2.49%; P < .001) compared with those who spent 0 to 45 minutes cooking dinner., Conclusions: Cooking at home is associated with lower consumption of ultra-processed foods and higher consumption of unprocessed or minimally processed foods. However, ultra-processed food intake is high among US adults regardless of cooking frequency., (Copyright © 2024 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: The association between ultra-processed food (UPF) intake and markers of biological ageing has been scarcely investigated, despite the evident adverse health effects associated with UPF. This study aimed to test the association between UPF intake and biological ageing, and evaluate how much of this association is accounted for by overall diet quality., Methods: This cross-sectional study assessed 16 055 participants aged 20-79 years (51% women, 46 ± 0.3 years) from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. Dietary UPF intake was assessed using the Nova system. Values were expressed as % of total energy intake and were denominated as a continuous variable and in quintiles. Diet quality was assessed with the American Heart Association 2020 and the Healthy Eating Index 2015. Biological ageing was assessed using the PhenoAge algorithm., Results: For each 10% of energy intake accounted for by UPF, participants were 0.21 (95%CI 0.16-0.26) years biologically older in terms of PhenoAge. As compared to participants in the lowest UPF quintile (≤39%), those in the highest UPF quintile (68-100%) were 0.86 (95% CI 0.55, 1.16) years older (P-for-trend across quintiles ≤0.001). Adherence to a healthy diet moderately attenuated the relationship between UPF and PhenoAge (adjusted β = 0.14 per 10% increment of UPF)., Conclusions: Adults with higher UPF tended to be biologically older. This association is partly independent of diet quality, suggesting that food processing may contribute to biological ageing acceleration. Our findings point to a compelling reason to target UPF consumption to promote healthier ageing., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Purpose: Ultra-processed food may play a role in facilitating snacking behavior because of their convenience and low satiety potential. This study aimed to describe the association between consumption of ultra-processed foods and frequency of snacking., Methods: We analyzed data from 46,164 participants (≥ 10 years old) in the 2017-2018 Brazilian Household Budget Survey. Dietary data were collected by 24-h dietary recalls over one or two days for each participant. We estimated energy intake, ultra-processed food consumption, and level of snacking. We measured the association between ultra-processed food consumption and level of snacking using multinomial logistic regression, stratified by age group (adolescents, 10-19 years old; adults, 20-64 years old; elders, 65 or older)., Results: We found a statistically significant tendency of increased daily energy intake and consumption of snacks and that ultra-processed food consumption was positively associated with the level of snacking for all age groups. For adolescents, adults, and elders in the highest quintile of ultra-processed food consumption as a share of their entire diet, the relative risk ratio (95% CI) of having more than two snacks per day compared to no snacks was 14.21 (9.09-22.21), 4.44 (3.54-5.57), and 4.21 (2.67-6.64), respectively, when compared to the lowest quintile., Conclusion: Higher consumption of ultra-processed food was associated with snacking behavior, and the strength of this association was stronger among adolescents. Efforts to mitigate ultra-processed food attributes that facilitate snacking should be incorporated into strategies to promote healthier food choices, especially among adolescents., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Objective: To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain., Design: The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including 'yes/no' questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m 2 ) increase of ≥5 % was coded as BMI gain., Setting: Brazil., Participants: 9551 participants from the NutriNet-Brasil cohort., Results: Increasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (-0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score., Conclusions: The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.

Our objective was to convene interdisciplinary experts from government, academia, and industry to develop a Research Roadmap to identify research priorities about processed food intake and risk for obesity and cardiometabolic diseases (CMD) among United States populations. We convened attendees at various career stages with diverse viewpoints in the field. We held a "Food Processing Primer" to build foundational knowledge of how and why foods are processed, followed by presentations about how processed foods may affect energy intake, obesity, and CMD risk. Breakout groups discussed potential mechanistic and confounding explanations for associations between processed foods and obesity and CMD risk. Facilitators created research questions (RQs) based on key themes from discussions. Different breakout groups convened to discuss what is known and unknown for each RQ and to develop sub-RQs to address gaps. Workshop attendees focused on ultra-processed foods (UPFs; Nova Group 4) because the preponderance of evidence is based on this classification system. Yet, heterogeneity and subjectivity in UPF classification was a challenge for RQ development. The 6 RQs were: 1) What objective methods or measures could further categorize UPFs, considering food processing, formulation, and the interaction of the two? 2) How can exposure assessment of UPF intake be improved? 3) Does UPF intake influence risk for obesity or CMDs, independent of diet quality? 4) What, if any, attributes of UPFs influence ingestive behavior and contribute to excess energy intake? 5) What, if any, attributes of UPFs contribute to clinically meaningful metabolic responses? 6) What, if any, external environmental factors lead people to consume high amounts of UPFs? Uncertainty and complexity around UPF intake warrant further complementary and interdisciplinary causal, mechanistic, and methodological research related to obesity and CMD risk to understand the utility of applying classification by degree of processing to foods in the United States., (Published by Elsevier Inc.)

Objective: This paper describes the first web-based self-completed 24-h recall designed to categorise food intake according to Nova groups - Nova24h - and its agreement with a reference tool in estimating the dietary relative contribution of the four Nova food groups (% of total energy intake)., Design: Comparisons of estimates of dietary relative contributions of Nova groups obtained by Nova24h and one standard interviewer-led 24-h recall., Setting: Nationwide adult cohort study in Brazil., Participants: The subjects were 186 participants of the NutriNet Brasil Cohort Study ( n 186)., Results: No statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 % v . 52·6 %), processed culinary ingredients (11·6 % v . 11·9 %), processed foods (17·1 % v . 14·7 %) and ultra-processed foods (19·0 % v . 20·9 %). Intraclass correlation coefficients between individual estimates obtained for each Nova group showed moderate to good agreement (0·54-0·78). Substantial or almost perfect agreement between the tools was seen regarding the ability to rank participants according to quintiles of contribution of each Nova group (PABAK 0·69-0·81)., Conclusions: Nova24h is a suitable tool for estimating the dietary relative energy contribution of Nova food groups in the NutriNet Brasil cohort. New studies are necessary to verify its adequacy in other populations.

Background: Accumulating evidence links ultra-processed foods to poor diet quality and chronic diseases. Understanding dietary trends is essential to inform priorities and policies to improve diet quality and prevent diet-related chronic diseases. Data are lacking, however, for trends in ultra-processed food intake., Objectives: We examined US secular trends in food consumption according to processing level from 2001 to 2018., Methods: We analyzed dietary data collected by 24-h recalls from adult participants (aged >19 y; N  = 40,937) in 9 cross-sectional waves of the NHANES (2001-2002 to 2017-2018). We calculated participants' intake of minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods as the relative contribution to daily energy intake (%kcal) using the NOVA framework. Trends analyses were performed using linear regression, testing for linear trends by modeling the 9 surveys as an ordinal independent variable. Models were adjusted for age, sex, race/ethnicity, education level, and income. Consumption trends were reported for the full sample and stratified by sex, age groups, race/ethnicity, education level, and income level., Results: Adjusting for changes in population characteristics, the consumption of ultra-processed foods increased among all US adults from 2001-2002 to 2017-2018 (from 53.5 to 57.0 %kcal; P-trend < 0.001). The trend was consistent among all sociodemographic subgroups, except Hispanics, in stratified analyses. In contrast, the consumption of minimally processed foods decreased significantly over the study period (from 32.7 to 27.4 %kcal; P-trend < 0.001) and across all sociodemographic strata. The consumption of processed culinary ingredients increased from 3.9 to 5.4 %kcal (P-trend < 0.001), whereas the intake of processed foods remained stable at ∼10 %kcal throughout the study period (P-trend = 0.052)., Conclusions: The current findings highlight the high consumption of ultra-processed foods in all parts of the US population and demonstrate that intake has continuously increased in the majority of the population in the past 2 decades., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.)

Background: There is cumulative recognition that increases in the dietary share of ultra-processed foods result in deterioration of the nutritional quality of the overall diet and adverse health outcomes., Objective: The purpose of this study was to assess the consumption of ultra-processed foods and to examine its association with added sugar content in the diet of US children aged 2 to 19 years., Methods: We classified all food items according to the NOVA food classification system and looked at the consumption of ultra-processed foods, measured as percentage of total energy intake. We assessed dietary added sugar content by estimating its contribution to total energy intake and the proportion of individuals with diets exceeding the recommended limit of 10% of total energy intake from added sugars. We also examined the proportion of those who surpassed twice that limit. Gaussian and Poisson regressions estimated the association between consumption of ultra-processed foods and estimates of added sugar content., Results: Ultra-processed foods contributed to 65% of total energy intake and to 92% of energy from added sugars in the diet of US children. The mean percent energy provided by added sugars in the observed period was 14.3%. Most individuals (70.9%) had diets exceeding the recommended limit of added sugar (<10% of total energy intake), and 18.4% of the population had diets surpassing twice the recommended level (20% of total energy intake). A 5.5% point increase in the dietary share of ultra-processed foods determined a 1 percentage point increase in the dietary content of added sugars, with stronger adjusted associations among younger children., Conclusions: Public health efforts to reduce added sugars in the diet of US children must put greater emphasis on decreasing the consumption of ultra-processed foods., (© 2019 World Obesity Federation.)

The present commentary contains a clear and simple guide designed to identify ultra-processed foods. It responds to the growing interest in ultra-processed foods among policy makers, academic researchers, health professionals, journalists and consumers concerned to devise policies, investigate dietary patterns, advise people, prepare media coverage, and when buying food and checking labels in shops or at home. Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing. Processes enabling the manufacture of ultra-processed foods include the fractioning of whole foods into substances, chemical modifications of these substances, assembly of unmodified and modified food substances, frequent use of cosmetic additives and sophisticated packaging. Processes and ingredients used to manufacture ultra-processed foods are designed to create highly profitable (low-cost ingredients, long shelf-life, emphatic branding), convenient (ready-to-consume), hyper-palatable products liable to displace all other NOVA food groups, notably unprocessed or minimally processed foods. A practical way to identify an ultra-processed product is to check to see if its list of ingredients contains at least one item characteristic of the NOVA ultra-processed food group, which is to say, either food substances never or rarely used in kitchens (such as high-fructose corn syrup, hydrogenated or interesterified oils, and hydrolysed proteins), or classes of additives designed to make the final product palatable or more appealing (such as flavours, flavour enhancers, colours, emulsifiers, emulsifying salts, sweeteners, thickeners, and anti-foaming, bulking, carbonating, foaming, gelling and glazing agents).

Background/objectives: To study the association between ultra-processed foods acquisitions and added sugar content of total food purchases in Spanish households in 2010. Changes over time (1990-2000-2010) in ultra-processed food purchases and added sugars content of total food purchases are also compared., Subjects/methods: We used data from three nationally representative Household Budget Surveys (HBS) conducted in 1990, 2000 and 2010. Number of studied households was 21,012, 33,730 and 22,116, respectively. Purchased foods and drinks were classified according to NOVA food groups as ultra-processed foods, processed foods, unprocessed or minimally processed foods, or processed culinary ingredients. Linear and Poisson regressions were used to estimate the association between quintiles of energy contribution of ultra-processed foods and added sugars contents of total food purchases in 2010. Changes over time were assessed using tests of linear trend and Student's t test., Results: In 2010, ultra-processed foods represented 31.7% of daily energy acquisitions and 80.4% of all added sugars. Added sugars content of food purchases raised from 7.3% in the lowest to 18.2% in the highest quintiles of energy contribution of ultra-processed foods. The risk of exceeding 10% energy from added sugars quadrupled between the lowest and highest quintiles. The percentage of ultra-processed foods on all food purchases almost tripled between 1990 and 2010 (from 11.0 to 31.7%), paralleling the increase of added sugars content (from 8.4 to 13.0%)., Conclusions: Cutting down exceeding added sugars availability in Spain may require a reduction in ultra-processed food purchasing.

Ultra-processed foods provide 58 % of energy intake and 89 % of added sugars in the American diet. Nevertheless, the association between ultra-processed foods and excess weight has not been investigated in a US sample. The present investigation therefore aims to examine the association between ultra-processed foods and excess weight in a nationally representative sample of US adults. We performed a cross-sectional analysis of anthropometric and dietary data from 15 977 adults (20-64 years) participating in the National Health and Nutrition Examination Survey 2005-2014. Dietary data were collected by 24-h recall. Height, weight and waist circumference (WC) were measured. Foods were classified as ultra-processed/non-ultra-processed according to the NOVA classification. Multivariable linear and logistic regression was used to evaluate the association between ultra-processed food consumption (% energy) and BMI, WC and odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity (men: WC≥102 cm, women: WC≥88 cm). Prevalence of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity was 69·2, 36·1 and 53·0 %, respectively. Consuming ≥74·2 v. ≤36·5 % of total energy from ultra-processed foods was associated with 1·61 units higher BMI (95 % CI 1·11, 2·10), 4·07 cm greater WC (95 % CI 2·94, 5·19) and 48, 53 and 62 % higher odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity, respectively (OR 1·48; 95 % CI 1·25, 1·76; OR 1·53; 95 % CI 1·29, 1·81; OR 1·62; 95 % CI 1·39, 1·89, respectively; P for trend<0·001 for all). A significant interaction between being female and ultra-processed food consumption was found for BMI (F 4,79=4·89, P=0·002), WC (F 4,79=3·71, P=0·008) and BMI≥25 kg/m2 (F 4,79=5·35, P<0·001). As the first study in a US population, our findings support that higher consumption of ultra-processed food is associated with excess weight, and that the association is more pronounced among women.

Objectives: To compare ultra-processed food consumption across sociodemographic groups and over time (2007-2008, 2009-2010, 2011-2012) in the USA., Design: Cross-sectional study., Setting: National Health and Nutrition Examination Survey (NHANES) 2007-2012., Participants: All individuals aged ≥2 years with at least one 24-hour dietary recall were included (n=23 847)., Main Outcome Measures: Average dietary contribution of ultra-processed foods (expressed as a percentage of the total caloric value of the diet), obtained after classifying all food items according to extent and purpose of industrial food processing using NOVA classification., Data Analysis: Linear regression was used to evaluate the association between sociodemographic characteristics or NHANES cycles and dietary contribution of ultra-processed foods., Results: Almost 60% of calories consumed in the period 2007-2012 came from ultra-processed foods. Consumption of ultra-processed foods decreased with age and income level, was higher for non-Hispanic whites or non-Hispanic blacks than for other race/ethnicity groups and lower for people with college than for lower levels of education, all differences being statistically significant. Overall contribution of ultra-processed foods increased significantly between NHANES cycles (nearly 1% point per cycle), the same being observed among males, adolescents and high school education-level individuals., Conclusions: Ultra-processed food consumption in the USA in the period 2007-2012 was overall high, greater among non-Hispanic whites or non-Hispanic blacks, less educated, younger, lower-income strata and increased across time., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective: To assess the consumption of ultra-processed foods and analyse its association with the content of added sugars in the Chilean diet., Design: Cross-sectional study of national dietary data obtained through 24 h recalls and classified into food groups according to the extent and purpose of food processing (NOVA classification)., Setting: Chile., Subjects: A probabilistic sample of 4920 individuals (aged 2 years or above) studied in 2010 by a national dietary survey (Encuesta Nacional de Consumo Alimentario)., Results: Ultra-processed foods represented 28·6 (se 0·5) % of total energy intake and 58·6 (se 0·9) % of added sugars intake. The mean percentage of energy from added sugars increased from 7·7 (se 0·3) to 19·7 (se 0·5) % across quintiles of the dietary share of ultra-processed foods. After adjusting for several potential sociodemographic confounders, a 5 percentage point increase in the dietary share of ultra-processed foods determined a 1 percentage point increase in the dietary content of added sugars. Individuals in the highest quintile were three times more likely (OR=2·9; 95 % CI 2·4, 3·4) to exceed the 10 % upper limit for added sugars recommended by the WHO compared with those in the lowest quintile, after adjusting for sociodemographic variables. This association was strongest among individuals aged 2-19 years (OR=3·9; 95 % CI 2·7, 5·9)., Conclusions: In Chile, ultra-processed foods are important contributors to total energy intake and to the consumption of added sugars. Actions aimed at limiting consumption of ultra-processed foods are being implemented as effective ways to achieve WHO dietary recommendations to limit added sugars and processed foods, especially for children and adolescents.