Adherence to the ultra-processed dietary pattern and risk of depressive outcomes: Findings from the NutriNet Brasil cohort study and an updated systematic review and meta-analysis.

BACKGROUND & AIMS: We aimed to analyze the prospective association between adherence to the ultra-processed dietary pattern and risk of depressive outcomes using original data from the NutriNet Brasil cohort and via a systematic review and meta-analysis of observational studies that have investigated the same association. METHODS: In our original research analysis, we used data from 15,960 adults (≥18 y) participating in the NutriNet Brasil cohort study, free of depression or depressive symptoms during the baseline (77.5% women, 45.8 ± 13.0 y). The mean dietary share of ultra-processed foods (%Kcal/d), calculated from two baseline 24-h dietary recalls, was used to measure the adherence to the ultra-processed dietary pattern. New cases of depressive symptoms were assessed using the Patient Health Questionnaire-9 over the follow-up period (mean: 18.3 months). Cox proportional hazards models were used for the main analyses. In our systematic review and meta-analysis, we incorporated effect estimates from six prospective cohort studies that have examined the same association, including ours. RESULTS: In the adjusted model, each 10% increase in the dietary share of ultra-processed foods was associated with a 10% increase in the hazard of incident cases of depressive symptoms (HR:1.10; 95%CI: 1.07-1.14). This association was slightly attenuated in the models including potential mediators. In our meta-analysis of six prospective studies, high versus low exposure to ultra-processed foods was associated with a summary hazard ratio of depressive outcomes of 1.32; 95%CI: 1.19-1.46; I2: 71%. CONCLUSION: A higher adherence to the ultra-processed dietary pattern was associated with a higher risk of developing depressive outcomes in the NutriNet Brasil cohort and in the meta-analysis.

Corrigendum: Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: application of the Nova classification and validation using selected biomarkers of food processing.

[This corrects the article DOI: 10.3389/fnut.2022.1035580.].

Identifying and Estimating Ultraprocessed Food Intake in the US NHANES According to the Nova Classification System of Food Processing.

BACKGROUND: The degree of food processing may be an important dimension of diet in how it relates to health outcomes. A major challenge is standardizing food processing classification systems for commonly used datasets. OBJECTIVES: To standardize and increase transparency in its application, we describe the approach used to classify foods and beverages according to the Nova food processing classification in the 24-h dietary recalls from the 2001-2018 cycles of What We Eat in America (WWEIA), NHANES, and investigate variability and potential for Nova misclassification within WWEIA, NHANES 2017-2018 data via various sensitivity analyses. METHODS: First, we described how the Nova classification system was applied to the 2001-2018 WWEIA, NHANES data using the reference approach. Second, we calculated the percentage energy from Nova groups [1: unprocessed or minimally processed foods, 2: processed culinary ingredients, 3: processed foods, and 4: ultraprocessed foods (UPFs)] for the reference approach using day 1 dietary recall data from non-breastfed participants aged ≥1 y from the 2017-2018 WWEIA, NHANES. We then conducted 4 sensitivity analyses comparing potential alternative approaches (e.g., opting for more vs. less degree of processing for ambiguous items) to the reference approach, to assess how estimates differed. RESULTS: The energy contribution of UPFs using the reference approach was 58.2% ± 0.9% of the total energy; unprocessed or minimally processed foods contributed 27.6% ± 0.7%, processed culinary ingredients contributed 5.2% ± 0.1%, and processed foods contributed 9.0% ± 0.3%. In sensitivity analyses, the dietary energy contribution of UPFs ranged from 53.4% ± 0.8% to 60.1% ± 0.8% across alternative approaches. CONCLUSIONS: We present a reference approach for applying the Nova classification system to WWEIA, NHANES 2001-2018 data to promote standardization and comparability of future research. Alternative approaches are also described, with total energy from UPFs differing by ∼6% between approaches for 2017-2018 WWEIA, NHANES.

Consumption of Ultraprocessed Foods and Body Fat Distribution Among U.S. Adults.

INTRODUCTION: The association between ultraprocessed food consumption and body composition and potential variations by sociodemographic factors is unclear. This study aims to examine the cross-sectional associations of ultraprocessed food consumption with imaging markers of body fat distribution in a nationally representative sample of U.S. adults, overall and by sociodemographic strata. METHODS: A total of 9,640 men and nonpregnant women aged 20-59 years were included from 4 cycles (2011-2012, 2013-2014, 2015-2016, 2017-2018) of the National Health and Nutrition Examination Survey with valid 24-hour dietary recalls and available whole-body dual-energy x-ray absorptiometry scans. Ultraprocessed foods were identified using the NOVA classification, with percentage energy from ultraprocessed food assessed in quintiles. Primary outcomes were absolute percentage fat (total, android, gynoid), and secondary ones were percentage fat (head, arm, leg, trunk), total abdominal fat (area, mass, volume), subcutaneous adipose tissue (area, mass, volume), and visceral adipose tissue (area, mass, volume). Multivariable-adjusted generalized linear regressions estimated independent relationships of ultraprocessed food intake with body composition overall and by sociodemographic subgroups. Analyses were conducted in September 2022 and January 2023. RESULTS: Ultraprocessed food consumption accounted for more than half (55.5%) of daily energy consumption in this sample. Adults in the highest quintile (>72.1% energy) had 1.60 higher total percentage fat (95% CI=0.94, 2.26), 2.08 higher android percentage fat (95% CI=1.26, 2.89), and 1.32 higher gynoid percentage fat (95% CI=0.71, 1.93) than those in the lowest quintile of ultraprocessed food consumption (<39.4% energy) (all p-trend<0.001). Consistent findings were observed for secondary outcomes. Associations of ultraprocessed food intake with total percentage fat, android percentage fat, and gynoid percentage fat varied by age, sex, race and ethnicity, education, and income. Among those in the highest quintile of ultraprocessed food consumption compared with the lowest quintile counterpart, total percentage fat was 1.85 (95% CI=0.86, 2.84) higher for non-Hispanic White adults and 1.57 (95% CI=0.68, 2.46) higher for Hispanic adults (p-trends<0.001), whereas no difference was observed among non-Hispanic Black adults (-0.22; 95% CI= -0.93, 1.36) (p-trend=0.47) and non-Hispanic Asian adults (0.93; 95% CI= -0.57, 2.42) (p-trend=0.04) (p-interaction=0.001). Associational patterns were similar for android percentage fat and gynoid percentage fat. CONCLUSIONS: In a national U.S. sample, higher intake of ultraprocessed food was associated with greater body fat, in particular android fat, and this relationship was most prominent in certain population subgroups. These cross-sectional findings call for prospective and interventional studies to assess the impact of ultraprocessed food on body composition in different populations.

Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studies.

OBJECTIVE: We examined the relationship between ultra-processed food (UPF) intake and type 2 diabetes (T2D) risk among 3 large U.S. cohorts, conducted a meta-analysis of prospective cohort studies, and assessed meta-evidence quality. RESEARCH DESIGN AND METHODS: We included 71,871 women from the Nurses' Health Study, 87,918 women from the Nurses' Health Study II, and 38,847 men from the Health Professional Follow-Up Study. Diet was assessed using food frequency questionnaires and UPF was categorized per the NOVA classification. Associations of total and subgroups of UPF with T2D were assessed using Cox proportional hazards models. We subsequently conducted a meta-analysis of prospective cohort studies on total UPF and T2D risk, and assessed meta-evidence quality using the NutriGrade scoring system. RESULTS: Among the U.S. cohorts (5,187,678 person-years; n = 19,503 T2D cases), the hazard ratio for T2D comparing extreme quintiles of total UPF intake (percentage of grams per day) was 1.46 (95% CI 1.39-1.54). Among subgroups, refined breads; sauces, spreads, and condiments; artificially and sugar-sweetened beverages; animal-based products; and ready-to-eat mixed dishes were associated with higher T2D risk. Cereals; dark and whole-grain breads; packaged sweet and savory snacks; fruit-based products; and yogurt and dairy-based desserts were associated with lower T2D risk. In the meta-analysis (n = 415,554 participants; n = 21,932 T2D cases), each 10% increment in total UPF was associated with a 12% (95% CI 10%-13%) higher risk. Per NutriGrade, high-quality evidence supports this relationship. CONCLUSIONS: High-quality meta-evidence shows that total UPF consumption is associated with higher T2D risk. However, some UPF subgroups were associated with lower risk in the U.S. cohorts.

Ultra-processed foods consumption and diet quality among preschool children and women of reproductive age from Argentina.

OBJECTIVE: To assess the association between the consumption of ultra-processed foods (UPF) and diet quality among preschool children and women of reproductive age from Argentina. DESIGN: Cross-sectional and nationally representative survey. The food items were classified according to the NOVA system. Consumption of fruits, vegetables, legumes, nuts, seeds and wholegrains was estimated, and the energy and nutrients related to non-communicable disease (NCD) intake. Linear regression was used to assess the associations. SETTING: Argentina. PARTICIPANTS: Children aged 2-5 years (n 7022), female adolescent aged 10-19 years (n 2165) and women aged 20-49 years (n 4414). RESULTS: UPF represented more than a quarter of total energy intake, 27 % in children, 31 % in female adolescents and 26 % in women. Across all age groups, the major contributors to UPF consumption were cookies and pastries (about 6·0-7·0 %), soft drinks (about 2·7-3·7 %), candies (about 1·8-4·6 %), and juices (about 1·3-1·7 %). The consumption of fresh vegetables, fresh fruits and legumes was negatively associated with UPF consumption. A significant positive association was found between the dietary share of UPF and the dietary content of NCD-promoting nutrients such as free sugars and total saturated and trans-fats. In contrast, a significant negative association was found with the content of NCD-protective such as fibre and protein. CONCLUSIONS: UPF were associated with lower consumption of healthy foods and higher intake of nutrients related to NCD in children and women of reproductive age in Argentina. It is necessary to design food policies that simultaneously reduce the consumption of UPF while promoting the intake of fresh and whole foods to improve the dietary quality.

Premature Deaths Attributable to the Consumption of Ultraprocessed Foods in Brazil.

INTRODUCTION: Ultraprocessed foods have been associated with an increased risk of noncommunicable diseases, such as diabetes, cardiovascular diseases, and cancer as well as all-cause mortality. The study aimed to estimate premature deaths attributable to the consumption of ultraprocessed food in Brazil. METHODS: A comparative risk assessment model was developed on the basis of RRs from a recent meta-analysis, national food consumption for 2017-2018, and demographic and mortality data for 2019. Population attributable fractions for all-cause mortality were then estimated within each sex and age stratum according to the distribution of the ultraprocessed food contribution to the total energy of the diet. Analysis was conducted in February 2022-April 2022. RESULTS: The contribution of ultraprocessed foods to the total energy intake of the diet across sex and age stratum of Brazilian adults ranged from 13% to 21% of the total energy intake. A total of 541,160 adults aged 30‒69 years died in 2019. The consumption of ultraprocessed foods was responsible for approximately 57,000 premature deaths (95% uncertainty interval=33,493, 82,570) or 10.5% of all premature deaths in adults aged 30‒69 years. Reducing the contribution of ultraprocessed foods to the total energy intake by 10%‒50% could potentially prevent 5,900 deaths (95% uncertainty interval=2,910, 10,613) to 29,300 deaths (95% uncertainty interval=16,514, 44,226), respectively. CONCLUSIONS: The consumption of ultraprocessed foods represents a significant cause of premature death in Brazil. Reducing ultraprocessed food intake would promote substantial health gains for the population and should be a food policy priority to reduce premature mortality.

Does the concept of "ultra-processed foods" help inform dietary guidelines, beyond conventional classification systems? Debate consensus.

The participants in this debate agree that food processing vitally affects human health, and that the extent of food processing significantly affects diet quality and health outcomes. They disagree on the significance of ultra-processing, as defined within the Nova food classification system. The YES position holds that the concept is well-founded, clear, and supported by a wealth of investigations, as demonstrated by systematic association between ultra-processed food (UPF) intake and various diseases and disorders, and the persistence of these associations with control for critical nutrients. The NO position argues that the concept of UPF is poorly defined; gives rise to misclassification of foods; is without clear mechanisms of action; and that the observed associations with obesity are likely confounded. The YES position argues that the Nova system is therefore crucial to inform dietary guidelines and also public policies designed to reduce production and consumption of UPFs, whereas the NO position argues that the system adds no value to conventional nutrient metrics and existing nutrient profiling systems, pointing instead to the need to develop an evidence-based system to characterize obesogenic foods.

Prospective association between ultra-processed food consumption and incidence of elevated symptoms of common mental disorders.

BACKGROUND: Our aim was to investigate the association between ultra-processed food (UPF) consumption and the incidence of elevated symptoms of common mental disorders (CMD) in two Brazilian birth cohorts. METHODS: We analyzed data from the 1993 (n = 3130) and 1982 (n = 3165) Pelotas Birth Cohorts. In the 1993 cohort, the 18y wave provided the first wave data and the 22y wave the second wave data. In the 1982 cohort, the first and the second waves data came from the 22y and the 30y waves, respectively. The self-reporting questionnaire (SRQ-20) was used to assess CMD symptoms and determine the incidence of elevated symptoms of CMD over time. UPF consumption was assessed using food frequency questionnaires, and it was expressed as % of the total energy and % of g/d intake and coded into quartiles according to sex. Poisson and Cox regression models were used to estimate the association between UPF consumption and incidence of elevated symptoms of CMD. RESULTS: There were no associations between first wave quartiles of UPF consumption and incidence of elevated symptoms of CMD (quartiles based on % of total energy:Q2: HR = 1.15, 95%CI: 0.93-1.42; Q3 = 0.91, 0.73-1.14; Q4 = 0.97, 0.77-1.21. Quartiles based on % of g/d: Q2 = 1.03, 0.83-1.27; Q3 = 1.05, 0.85-1.31; Q4 = 0.97, 0.78-1.21). LIMITATIONS: Recall bias and only two time-points in each cohort study. CONCLUSIONS: The consumption of ultra-processed food was not associated with the incidence of elevated CMD symptoms over time.

Does the concept of "ultra-processed foods" help inform dietary guidelines, beyond conventional classification systems? YES.

The recommendation to prefer unprocessed/minimally processed foods and freshly made meals instead of ultra-processed foods (following the Nova food classification system) is being increasingly adopted in new official dietary guidelines issued by national governments and international health associations. This recommendation is supported by systematic reviews and meta-analyses of nationally representative dietary surveys and long-term cohort studies. These data show that increased intake of ultra-processed foods is associated with poor-quality diets and with increased morbidity and mortality from several chronic diseases. Various attributes of ultra-processed foods acting through known, plausible, or suggested physiologic and behavioral mechanisms relate them to ill health, and it is likely that different combinations of attributes and mechanisms affect different health outcomes. Although more research should be done to identify these mechanisms, existing evidence is sufficient to recommend the avoidance of ultra-processed foods to optimize health and policies to support and make feasible this recommendation.

Ultra-processed food intake and eating disorders: Cross-sectional associations among French adults.

Background and aims: Data regarding the association between ultra-processed food (UPF) consumption and eating disorders (ED) are scarce. Our aim was to investigate whether UPF intake was associated with different ED types in a large population-based study. Methods: 43,993 participants (mean age = 51.0 years; 76.1% women) of the French NutriNet-Santé web-cohort who were screened for ED in 2014 via the Sick-Control-One stone-Fat-Food (SCOFF) questionnaire, were included in the analysis. The clinical algorithm Expali TM tool was used to identify four ED types: restrictive, bulimic, binge eating, and other (not otherwise specified). Mean dietary intake was evaluated from at least 2 self-administered 24-h dietary records (2013-2015); categorization of food as ultra-processed or not relied on the NOVA classification. The associations between UPF intake (as percent and reflecting mean daily UPF quantity (g/d) within the dietary intake, %UPF) and ED types were evaluated using polytomous logistic regression models. Results: 5,967 participants (13.6%) were categorized as likely ED (restrictive n = 444; bulimic n = 1,575; binge eating n = 3,124; other ED n = 824). The fully-adjusted analyses revealed a positive association between UPF intake and bulimic, binge eating, and other ED: ED risk (odds ratio, OR) for an absolute 10-percentage point incremental increase in %UPF intake were 1.08 (1.01-1.14; P = 0.02), 1.21 (1.16-1.26; P < 0.0001), and 1.11 (1.02-1.20; P = 0.02), respectively. No significant association was detected for restrictive ED. Discussion and Conclusion: This study revealed an association of UPF intake with different ED types among French adults. Future research is needed to elucidate the direction of the observed associations.

Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing.

Background: Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, (3) Processed foods, and (4) "Ultra-processed" foods (UPF). The ability of the Nova classification to accurately characterise the degree of food processing across consumption patterns in various European populations has not been investigated so far. Therefore, we applied the Nova coding to data from the European Prospective Investigation into Cancer and Nutrition (EPIC) in order to characterize the degree of food processing in our diet across European populations with diverse cultural and socio-economic backgrounds and to validate this Nova classification through comparison with objective biomarker measurements. Methods: After grouping foods in the EPIC dataset according to the Nova classification, a total of 476,768 participants in the EPIC cohort (71.5% women; mean age 51 [standard deviation (SD) 9.93]; median age 52 [percentile (p)25-p75: 58-66] years) were included in the cross-sectional analysis that characterised consumption patterns based on the Nova classification. The consumption of food products classified as different Nova categories were compared to relevant circulating biomarkers denoting food processing, measured in various subsamples (N between 417 and 9,460) within the EPIC cohort via (partial) correlation analyses (unadjusted and adjusted by sex, age, BMI and country). These biomarkers included an industrial transfatty acid (ITFA) isomer (elaidic acid; exogenous fatty acid generated during oil hydrogenation and heating) and urinary 4-methyl syringol sulfate (an indicator for the consumption of smoked food and a component of liquid smoke used in UPF). Results: Contributions of UPF intake to the overall diet in % grams/day varied across countries from 7% (France) to 23% (Norway) and their contributions to overall % energy intake from 16% (Spain and Italy) to >45% (in the UK and Norway). Differences were also found between sociodemographic groups; participants in the highest fourth of UPF consumption tended to be younger, taller, less educated, current smokers, more physically active, have a higher reported intake of energy and lower reported intake of alcohol. The UPF pattern as defined based on the Nova classification (group 4;% kcal/day) was positively associated with blood levels of industrial elaidic acid (r = 0.54) and 4-methyl syringol sulfate (r = 0.43). Associations for the other 3 Nova groups with these food processing biomarkers were either inverse or non-significant (e.g., for unprocessed and minimally processed foods these correlations were -0.07 and -0.37 for elaidic acid and 4-methyl syringol sulfate, respectively). Conclusion: These results, based on a large pan-European cohort, demonstrate sociodemographic and geographical differences in the consumption of UPF. Furthermore, these results suggest that the Nova classification can accurately capture consumption of UPF, reflected by stronger correlations with circulating levels of industrial elaidic acid and a syringol metabolite compared to diets high in minimally processed foods.

Consumption of Ultraprocessed Foods and Diet Quality Among U.S. Children and Adults.

INTRODUCTION: Consumption of ultraprocessed foods has been linked with higher intake of added sugars, sodium, and unhealthful fats, but the associations of ultraprocessed foods with overall diet quality and major food groups are not well known. METHODS: Data were derived from the National Health and Nutrition Examination Survey (2015-2018), including 9,758 adults (aged ≥20 years) and 5,280 children (aged 2-19 years) with 24-hour dietary recalls (≥1), with analysis performed in 2020. Ultraprocessed foods were identified using the NOVA classification, with intake (% energy) assessed in quintiles. Diet quality was assessed using the validated American Heart Association 2020 continuous primary and secondary diet scores and Healthy Eating Index 2015. Poor diet was defined as <40% adherence to the American Heart Association secondary score. Generalized linear regressions estimated relationships between ultraprocessed food intake and diet quality. RESULTS: Compared with the lowest quintile of ultraprocessed food consumption (<39.1% energy), the American Heart Association primary score in adults was progressively lower in Quintile 2 (-1.99, 95% CI= -2.73, -1.25), Quintile 3 (-3.60, 95% CI= -4.47, -2.72), Quintile 4 (-5.29, 95% CI= -6.28, -4.30), and Quintile 5 (-7.24, 95% CI= -8.13, -6.36; >70.7% energy). Corresponding values in children were -2.05 (95% CI= -3.01, -1.09), -2.97 (95% CI= -4.16, -1.79), -3.82 (95% CI= -5.20, -2.44), and -6.22 (95% CI= -7.20, -5.25; >79.0% energy). The estimated proportion of children having poor diet progressively increased from 31.3% (95% CI=26.2%, 36.5%) in Quintile 1 up to 71.6% (95% CI=68.1%, 75.1%) in Quintile 5. Corresponding proportions of adults having poor diet increased from 18.1% (95% CI=14.3%, 22.0%) in Quintile 1 up to 59.7% (95% CI=55.3%, 64.1%) in Quintile 5. Findings were similar using the American Heart Association secondary score and Healthy Eating Index 2015 score. CONCLUSIONS: Higher ultraprocessed food consumption is associated with substantially lower diet quality among children and adults.