Greater Frequency of Cooking Dinner at Home and More Time Spent Cooking Are Inversely Associated With Ultra-Processed Food Consumption Among US Adults.

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.

Infants' Dietary Pattern Characterized by Ultraprocessed Foods Is Associated With Rapid Weight Gain and Overweight/Obesity Risk: National Health and Nutrition Examination Survey 2009-2018.

BACKGROUND: Global trends toward childhood obesity have been associated with several factors, including suboptimal infant feeding practices, the increasing availability of ultraprocessed foods in the world's food supply, and the corresponding changes in children's dietary patterns. OBJECTIVE: To describe infants' dietary patterns and assess their associations with weight status outcomes in a nationally representative sample of US infants. DESIGN: Cross-sectional analyses were performed on data collected from infants participating in the 2009-2018 National Health and Nutrition Examination Survey. PARTICIPANTS/SETTING: Participants included 744 infants aged 6 to 12 months who had data from at least 1 day of valid 24-hour dietary recall data. MAIN OUTCOME MEASURES: Rapid weight gain and overweight/obesity risk. STATISTICAL ANALYSES PERFORMED: Principal component analysis was used to identify dietary patterns considering the energy intake of 39 Nova food subgroups (expressed in calories per day), including breast milk. Associations were evaluated using logistic regression adjusted for potential confounders. RESULTS: A total of 42% infants experienced rapid weight gain, and 33% were at risk of overweight/obesity. Most infants (65.5%) were started on solid foods early. Three main dietary patterns were derived. The first pattern, labeled Natural or Minimally Processed Foods, had positive loadings for a variety of natural or minimally processed foods, some processed culinary ingredients, and a few processed and ultraprocessed foods. The second pattern, labeled Infant Formula, had high negative loading for breast milk, and high positive loading for infant formula and breakfast cereal. The third pattern, labeled Ultraprocessed Foods, had negative loadings for natural or minimally processed foods and processed culinary ingredients, positive loadings for other processed foods and for a variety of ultraprocessed foods, and negative loading for infant formula. Infants who adhere to the Ultraprocessed Foods dietary pattern were more likely to present rapid weight gain (adjusted odds ratio 1.3, 95% CI 1.1 to 1.5) and overweight/obesity risk (adjusted odds ratio 1.2, 95% CI 1.0 to 1.4). CONCLUSIONS: Higher adherence to a dietary pattern characterized by ultraprocessed foods was associated with a greater likelihood of both rapid weight gain and overweight/obesity risk early in life. Promoting breastfeeding and increasing consumption of unprocessed/minimally processed foods during early infancy while restricting ultraprocessed foods are key components to reducing the growing burden of childhood obesity.

Association between ultra-processed food and snacking behavior in Brazil.

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.

Associations Between Household Frequency of Cooking Dinner and Ultraprocessed Food Consumption and Dietary Quality Among US Children and Adolescents.

Introduction: Dietary quality is poor and intake of ultraprocessed foods (UPFs) is high among children and adolescents in the United States. Low dietary quality and high UPF intake are associated with obesity and higher risk of diet-related chronic diseases. It is unknown whether household cooking behavior is related to improved dietary quality and lower consumption of UPFs among US children and adolescents. Methods: Nationally representative data from the 2007-2010 National Health and Nutrition Examination Survey (n = 6032 children and adolescents ≤19 years of age) were used to examine the relationships between household cooking frequency of evening meals and children's dietary quality and UPF intake using multivariate linear regression models adjusted for sociodemographics. Two 24-hour diet recalls were used to assess UPF intake and dietary quality [Healthy Eating Index-2015 (HEI-2015)]. Food items were categorized according to Nova classification to obtain the UPF percent of total energy intake. Results: A higher household frequency of cooking dinner was associated with lower UPF intake and higher overall dietary quality. Compared to children in households cooking dinner 0-2 times per week, children in households cooking dinner 7 times/week had lower intake of UPFs [ß = -6.30, 95% confidence interval (CI) -8.81 to -3.78, p < 0.001] and marginally higher HEI-2015 scores (ß = 1.92, 95% CI -0.04 to 3.87, p = 0.054). The trends toward lower UPF intake (p-trend <0.001) and higher HEI-2015 scores (p-trend = 0.001) with increasing cooking frequency were significant. Conclusions: In this nationally representative sample of children and adolescents, more frequent cooking at home was associated with lower intake of UPFs and higher HEI-2015 scores.

Association between ultra-processed food and flavonoid intakes in a nationally representative sample of the US population.

Consumption of ultra-processed food (UPF) has been associated with several chronic diseases and poor diet quality. It is reasonable to speculate that the consumption of UPF negatively associates with flavonoid dietary intake; however, this assumption has not been previously examined. The present study aims to assess association between the dietary contribution of UPF and flavonoid intake in the US population aged 0 years and above. We performed a cross-sectional analysis of dietary data collected by 24-h recalls from 7640 participants participating in the National Health and Nutrition Examination Survey 2017-2018. Foods were classified according to the Nova classification system. The updated US Department of Agriculture (USDA) Database for the Flavonoid Content of Selected Foods (Release 3.3) database was used to estimate total and six classes of flavonoid intakes. Flavonoid intakes were compared across quintiles of dietary contribution of UPF (% of total energy intake) using linear regression models. The total and five out of six class flavonoid intakes decreased between 50 and 70 % across extreme quintiles of the dietary contribution of UPF (Pfor linear trend < 0·001); only isoflavones increased by over 260 %. Our findings suggest that consumption of UPF is associated with lower total and five of six class flavonoid intakes and with higher isoflavone intakes, supporting previous evidence of the negative impact of UPF consumption on the overall quality of the diet and health outcomes.

Higher ultra-processed food intake was positively associated with odds of NAFLD in both US adolescents and adults: A national survey.

BACKGROUND: The effect of ultra-processed foods (UPF) on NAFLD remains unclear. Related evidence for adult NAFLD is limited and no study has yet evaluated UPF's impact on NAFLD in adolescence. METHODS: We used data from the National Health and Nutrition Examination Survey (2017-2018) with 806 adolescents and 2734 adults. UPF intake was estimated using dietary data from two 24-hour dietary recalls. NAFLD was defined by transient elastography. Logistic regression was used to estimate the multivariable OR and 95% CI for associations between UPF and NAFLD with survey weight adjustments. RESULTS: The mean UPF intake was 812 g/d in adolescents and 823 g/d in adults. A total of 12.4% of the adolescents and 35.6% of the adults had NAFLD. Higher UPF intake was associated with higher odds of NAFLD in both adolescents (OR Quintile 5 vs. Quartile 1 = 2.34, 95% CI, 1.01, 5.41; ptrend = 0.15) and adults (OR Quintile 5 vs. Quintile 1 = 1.72, 95% CI, 1.01, 2.93; ptrend = 0.002). In adults, ~68% and 71% of the association between UPF intake and NAFLD was mediated by body mass index and waist circumference (all p-values < 0.001), respectively. The results were similar for adolescents but not statistically significant. A higher UPF intake was associated with lower levels of serum albumin and higher levels of C-reactive protein in adults. CONCLUSIONS: Higher UPF intake was linked to higher NAFLD odds in both adolescents and adults, mainly because of elevated body fatness. If confirmed, reducing UPF intake may help prevent NAFLD in both adolescents and adults.

Perspective: A Research Roadmap about Ultra-Processed Foods and Human Health for the United States Food System: Proceedings from an Interdisciplinary, Multi-Stakeholder Workshop.

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.

A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.

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.

Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study.

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/m2) 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.

Food Processing, According to the Nova Classification System, and Dietary Intake of US Infants and Toddlers.

BACKGROUND: High intake of ultra-processed foods (UPFs) is associated with increased risk of chronic disease; thus, it is important to understand how UPFs influence diet quality early in life. OBJECTIVES: We describe complementary foods and beverages (CFBs) according to the Nova Classification System of Food Processing for infants and toddlers in the United States and estimate how Nova groups and subgroups contribute to energy and select nutrients and food groups. METHODS: We used day 1 24-h recall from infants and toddlers aged 6-23 mo from the cross-sectional, nationally representative 2013-18 National Health and Nutrition Examination Survey (n = 1140). We estimated contributions of Nova groups and subgroups to energy and select nutrients and food groups consumed as CFBs (excluding human milk and formula) using the population ratio with weighted survey commands in SAS. RESULTS: For infants and toddlers in the United States, 42 ± 0.9% (mean ± standard error of the mean) of energy intake from CFBs came from unprocessed/minimally processed foods (U/MPFs) and 45 ± 0.8% from UPFs. U/MPFs contributed most to nutrient intakes (except iron, zinc, and sodium); ≥20% of all selected nutrients was from UPFs. UPFs contributed most to iron (75 ± 1.0%) and zinc (48 ± 1.3%); breakfast cereals were the top source. Most fruit, vegetables, and dairy were from U/MPFs. More than 80% of total grains, whole grains, refined grains, and added sugars were UPFs. CONCLUSIONS: U/MPFs support healthy dietary intake of infants and toddlers in the United States, whereas UPFs contribute meaningfully to nutrients and food groups to be encouraged (iron, zinc, and whole grains), as well as some that should be limited (added sugars and sodium). More research is needed to better understand the utility and sensitivities of using Nova for providing dietary guidance for infants and toddlers in the United States.

Ultra-processed food consumption and exposure to acrylamide in a nationally representative sample of the US population aged 6 years and older.

Ultra-processed food (UPF) consumption has been associated with cardiovascular disease and cancer. Acrylamide is a probable human carcinogen commonly found in foods that are processed at high temperatures. The aim of this study was to examine the association between dietary energy contribution of UPF and acrylamide exposure, in the US. Among the 4418 participants from cross-sectional 2013-2016 National Health and Nutrition Examination Survey, aged 6+ years, with hemoglobin biomarkers of acrylamide exposure, 3959 that completed the first 24-h dietary recall and had information on all covariates were included in the study. UPF were identified based on the Nova classification system, a four-group food classification based on the extent and purpose of industrial food processing. Linear regression was used to compare average acrylamide and glycidamide hemoglobin (HbAA+HbGA) concentrations across quintiles of daily energy contribution of UPF. Adjusted geometric means of acrylamide and glycidamide hemoglobin concentrations increased monotonically from the lowest to the highest quintile of UPF consumption in the overall population. Compared to the lowest quintile, the highest quintile had 9.1% higher levels of HbAA+HbGA (94.1 vs. 86.3 pmol/g Hb). These positive associations were statistically significant among males and in the young adult population and were largely driven by UPF which are known potential sources of acrylamide. The main effects remained unchanged when excluding current smokers. As both acrylamides and UPF have been previously associated with cardiovascular disease and cancer, our results suggest that acrylamides in UPF may partially explain previously observed links between UPF consumption and these health outcomes.

Phthalate mixtures and insulin resistance: an item response theory approach to quantify exposure burden to phthalate mixtures.

BACKGROUND: Molar sums are often used to quantify total phthalate exposure, but they do not capture patterns of exposure to multiple phthalates. OBJECTIVE: To introduce an exposure burden score method for quantifying exposure to phthalate metabolites and examine the association between phthalate burden scores and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). METHODS: We applied item response theory (IRT) to data from 3474 adults aged 20-60 years in the 2013-2018 National Health and Examination Survey (NHANES) to quantify latent phthalate exposure burden from 12 phthalate metabolites. We compared model fits of three IRT models that used different a priori groupings (general phthalate burden; low molecular weight (LMW) and high molecular weight (HMW) burdens; and LMW, HMW and DEHP burden), and used the best fitting model to estimate phthalate exposure burden scores. Regression models assessed the covariate-adjusted association between phthalate burden scores and HOMA-IR. We compared findings to those using molar sums. In secondary analyses, we examined how the IRT model could be used for data harmonization when a subset of participants are missing some phthalate metabolites, and accounted for measurement error of the phthalate burden scores in estimating associations with HOMA-IR through a resampling approach using plausible value imputation. RESULTS: A three correlated factors model (LMW, HMW and DEHP burdens) provided the best fit. One interquartile range (IQR) increase in DEHP burden score was associated with 0.094 (95% CI: 0.022, 0.164, p = 0.010) increase in log HOMA-IR, co-adjusted for LMW and HMW burden scores. Findings were consistent when using log molar sums. Associations of phthalate burden and insulin resistance were also consistent when participants were simulated to be missing some phthalate metabolites, and when we accounted for measurement error in estimating burden scores. CONCLUSION: Both phthalate molar sums and burden scores are sensitive to associations with insulin resistance. Phthalate burden scores may be useful for data harmonization.

Diet quality, ultra-processed food consumption, and quality of life in a cross-sectional cohort of adults and teens with celiac disease.

BACKGROUND: Coeliac disease (CeD), a common autoimmune condition, requires strict adherence to a gluten-free diet (GFD). Adherence to the GFD has been associated with quality of life (QOL). However, there may be other diet-related concerns, such as overall diet patterns, including diet quality or ultra-processed food (UPF) consumption, possibly associated with QOL among people with CeD following a GFD that have not been examined. METHODS: Diet quality was determined based on 24-h diet recalls of a cross-sectional prospectively recruited sample of 80 participants (50 adults and 30 teens) with biopsy-confirmed CeD ('Study Sample') using the Healthy Eating Index and Alternate Mediterranean Diet score. The amount of UPF consumed was assessed using Nova, a food processing classification system. QOL was measured using Celiac Disease-Specific Quality of Life (CDQOL) and Celiac Disease Pediatric-Specific Quality of Life (CDPQOL). The Study Sample's diet patterns were compared with National Health and Nutrition Examination Survey (NHANES) groups (25 adults reporting prior CeD and GFD; 51 adults with new CeD and no GFD; 15,777 adults and 2296 teens without CeD). The relationship of the Study Sample's diet patterns with CDQOL/CDPQOL was assessed using analysis of covariance. RESULTS: The Study Sample's diet patterns were suboptimal but generally favourable compared with all NHANES groups. Compared to Study Adults with the highest tertile of UPF, those with the lowest tertile had significantly higher CDQOL (mean: 67.6 vs. 78.3, p < 0.001). Compared to Study Teens with the lowest tertile of AMED, those with the highest tertile had significantly higher CDPQOL (mean: 67.0 vs. 79.9, p < 0.01). CONCLUSIONS: Maintaining high diet quality and minimising UPF may be important for CeD-specific QOL among individuals with CeD maintaining a GFD.

Trends in food consumption according to the degree of food processing among the UK population over 11 years.

Although ultra-processed foods represent more than half of the total energy consumed by the UK population, little is known about the trend in food consumption considering the degree of food processing. We evaluated the trends of the dietary share of foods categorised according to the NOVA classification in a historical series (2018-2019) among the UK population. Data were acquired from the NDNS, a survey that collects diet information through a 4-d food record. We used adjusted linear regression to estimate the dietary participation of NOVA groups and evaluated the linear trends over the years. From 2008 to 2019, we observed a significant increase in the energy share of culinary ingredients (from 3·7 to 4·9 % of the total energy consumed; P-trend = 0·001), especially for butter and oils; and reduction of processed foods (from 9·6 to 8·6 %; P-trend = 0·002), especially for beer and wine. Unprocessed or minimally processed foods (≅30 %, P-trend = 0·505) and ultra-processed foods (≅56 %, P-trend = 0·580) presented no significant change. However, changes in the consumption of some subgroups are noteworthy, such as the reduction in the energy share of red meat, sausages and other reconstituted meat products as well as the increase of fruits, ready meals, breakfast cereals, cookies, pastries, buns and cakes. Regarding the socio-demographic characteristics, no interaction was observed with the trend of the four NOVA groups. From 2008 to 2019 was observed a significant increase in culinary ingredients and a reduction in processed food. Furthermore, it sheds light on the high share of ultra-processed foods in the contemporary British diet.

Association Between Consumption of Ultraprocessed Foods and Cognitive Decline.

Importance: Although consumption of ultraprocessed food has been linked to higher risk of cardiovascular disease, metabolic syndrome, and obesity, little is known about the association of consumption of ultraprocessed foods with cognitive decline. Objective: To investigate the association between ultraprocessed food consumption and cognitive decline in the Brazilian Longitudinal Study of Adult Health. Design, Setting, and Participants: This was a multicenter, prospective cohort study with 3 waves, approximately 4 years apart, from 2008 to 2017. Data were analyzed from December 2021 to May 2022. Participants were public servants aged 35 to 74 years old recruited in 6 Brazilian cities. Participants who, at baseline, had incomplete food frequency questionnaire, cognitive, or covariate data were excluded. Participants who reported extreme calorie intake (<600 kcal/day or >6000 kcal/day) and those taking medication that could negatively interfere with cognitive performance were also excluded. Exposures: Daily ultraprocessed food consumption as a percentage of total energy divided into quartiles. Main Outcomes and Measures: Changes in cognitive performance over time evaluated by the immediate and delayed word recall, word recognition, phonemic and semantic verbal fluency tests, and Trail-Making Test B version. Results: A total of 15 105 individuals were recruited and 4330 were excluded, leaving 10 775 participants whose data were analyzed. The mean (SD) age at the baseline was 51.6 (8.9) years, 5880 participants (54.6%) were women, 5723 (53.1%) were White, and 6106 (56.6%) had at least a college degree. During a median (range) follow-up of 8 (6-10) years, individuals with ultraprocessed food consumption above the first quartile showed a 28% faster rate of global cognitive decline (ß = -0.004; 95% CI, -0.006 to -0.001; P = .003) and a 25% faster rate of executive function decline (ß = -0.003, 95% CI, -0.005 to 0.000; P = .01) compared with those in the first quartile. Conclusions and Relevance: A higher percentage of daily energy consumption of ultraprocessed foods was associated with cognitive decline among adults from an ethnically diverse sample. These findings support current public health recommendations on limiting ultraprocessed food consumption because of their potential harm to cognitive function.

Food consumption in Brazil: influence of beef on environmental impact and nutritional quality of the diet.

OBJECTIVE: To estimate beef consumption and its influence on carbon and water footprints, as well as to improve the nutritional quality of the Brazilian diet. METHODS: The amount of beef and other foods consumed was evaluated by two 24-hour food records in a representative sample of the Brazilian population ≥ 10 years of age (n = 32,853) from 2008 to 2009. The environmental impact of the diet considered the coefficients of the carbon footprint (gCO2 and/kg) and the water footprint (liters/kg) of the foods, as well as their nutritional quality considering the nutrient composition of each food associated with the prevention of nutritional deficiencies or the increase/decrease in chronic disease risk. Linear and logistic regression models, crude and adjusted for sex, age, education, income, region, and area, were used to respectively study the association of fifths of the caloric contribution of beef with the environmental impacts of the diet and inadequate nutrient intake. RESULTS: Carbon and water footprints and protein, iron, zinc, vitamin B12, saturated fat, and sodium contents were higher in the fraction of the diet composed of beef, whereas fiber and added sugar contents were higher in the fraction composed by the other foods. Dietary beef contribution was directly associated with the carbon and water footprints of the diet and the risk of saturated fat and sodium excess, besides fiber insufficiency, inversely associated with the risk of protein, iron, zinc, and vitamin B12 insufficiency. CONCLUSION: Reducing beef consumption in Brazil would also reduce the carbon and water footprints of the diet, as well as the risk of chronic diseases related to food. Therefore, in order not to increase the risk of nutritional deficiencies, monitoring the increased intake of other foods rich in protein, iron, zinc, and vitamin B12 is suggested.

Cross-sectional examination of ultra-processed food consumption and adverse mental health symptoms.

OBJECTIVE: To explore whether individuals who consume higher amounts of ultra-processed food (UPF) have more adverse mental health symptoms. DESIGN: Using a cross-sectional design, we measured the consumption of UPF as a percentage of total energy intake in kilo-calories using the NOVA food classification system. We explored whether individuals who consume higher amounts of UPF were more likely to report mild depression, more mentally unhealthy days and more anxious days per month using multivariable analyses adjusting for potential confounding variables. SETTING: Representative sample from the United States National Health and Nutrition Examination Survey between 2007 and 2012. PARTICIPANTS: 10 359 adults aged 18+ without a history of cocaine, methamphetamine or heroin use. RESULTS: After adjusting for covariates, individuals with the highest level of UPF consumption were significantly more likely to report at least mild depression (OR: 1·81; 95 % CI1·09, 3·02), more mentally unhealthy (risk ratio (RR): 1·22; 95 % CI 1·18, 1·25) and more anxious days per month (RR: 1·19; 95 % CI 1·16, 1·23). They were also significantly less likely to report zero mentally unhealthy (OR: 0·60; 95 % CI 0·41, 0·88) or anxious days (OR: 0·65; 95 % CI 0·47, 0·90). CONCLUSIONS: Individuals reporting higher intakes of UPF were significantly more likely to report mild depression, more mentally unhealthy and more anxious days and less likely to report zero mentally unhealthy or anxious days. These data add important information to a growing body of evidence concerning the potential adverse effects of UPF consumption on mental health.

Food insecurity and ultra-processed food consumption: the modifying role of participation in the Supplemental Nutrition Assistance Program (SNAP).

BACKGROUND: Ultra-processed foods contribute to risks of obesity and cardiometabolic disease, and higher intakes have been observed in low-income populations in the United States. Consumption of ultra-processed foods may be particularly higher among individuals experiencing food insecurity and participating in the Supplemental Nutrition Assistance Program (SNAP). OBJECTIVES: Using data from the 2007-2016 NHANES, we examined the associations between food insecurity, SNAP participation, and ultra-processed food consumption. METHODS: The study population comprised 9190 adults, aged 20-65 y, with incomes ≤300% of the federal poverty level (FPL). Food insecurity was assessed using the Household Food Security Survey Module and SNAP participation over the past 12 mo was self-reported. Dietary intake was measured from two 24-h dietary recalls. Ultra-processed food consumption (percentage of total energy intake) was defined using the NOVA food classification system. Linear regression models were used to examine the associations between food insecurity, SNAP participation, and ultra-processed food consumption, adjusting for sociodemographic and health characteristics. RESULTS: More severe food insecurity was associated with higher intakes of ultra-processed foods (P-trend = 0.003). The adjusted means of ultra-processed food intake ranged from 52.6% for adults with high food security to 55.7% for adults with very low food security. SNAP participation was also associated with higher intakes of ultra-processed foods (adjusted mean: 54.7%), compared with income-eligible participants (adjusted mean: 53.0%). Furthermore, the association between food insecurity and ultra-processed foods was modified by SNAP participation (P-interaction = 0.02). Among income-eligible nonparticipants and income-ineligible nonparticipants, more severe food insecurity was associated with higher consumption of ultra-processed foods. Among SNAP participants, the association between food insecurity and consumption of ultra-processed foods was nonsignificant. CONCLUSION: In a nationally representative sample of adults, food insecurity and SNAP participation were both associated with higher levels of ultra-processed food consumption.