Association between Dietary Share of Ultra-Processed Foods and Urinary Concentrations of Phytoestrogens in the US

Existing food processing classifications overlook the phytochemical composition of processed plant-based protein-rich foods

According to existing food processing classification systems, plant-based protein-rich (PBPR) foods are often considered 'ultra-processed'-and therefore perceived as unhealthy-despite their ability to provide various bioactive compounds beneficial for human health. Here we used a non-targeted metabolomics approach to analyse the impact of processing on the biochemical composition of PBPR foods. Our results show that existing food classification systems may provide questionable categories for PBPR foods without considering their overall biochemical composition, including phytochemicals. An analysis focusing specifically on biochemical compounds of soy-based products manufactured using various technologies showed no clear distinctions between processing groups in the principal component analysis based on the NOVA and Poti classification. However, clear differences were found between soy-based products based on their phytochemical profile. Although food processing classification systems are welcome in their attempt to guide consumers towards healthy choices, they should be improved to more accurately reflect the biochemical composition of PBPR foods.

Prevalence of processed foods in major US grocery stores

The offering of grocery stores is a strong driver of consumer decisions. While highly processed foods such as packaged products, processed meat and sweetened soft drinks have been increasingly associated with unhealthy diets, information on the degree of processing characterizing an item in a store is not straightforward to obtain, limiting the ability of individuals to make informed choices. GroceryDB, a database with over 50,000 food items sold by Walmart, Target and Whole Foods, shows the degree of processing of food items and potential alternatives in the surrounding food environment. The extensive data gathered on ingredient lists and nutrition facts enables a large-scale analysis of ingredient patterns and degrees of processing, categorized by store, food category and price range. Furthermore, it allows the quantification of the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB makes this information accessible, guiding consumers toward less processed food choices.

Impact of ultra-processed food consumption during pregnancy on maternal and child health outcomes: A comprehensive narrative review of the past five years

BACKGROUND & AIMS

Ultra-processed foods (UPF) are increasingly prevalent in modern diets and are associated with negative health outcomes such as chronic diseases due to their high processing and low nutrient density. Despite the potential impact of UPF intake during pregnancy on maternal and child health, studies in this area are limited. Therefore, this narrative comprehensive review aimed to identify associations between UPF consumption, categorized by the NOVA system, during pregnancy and maternal and child health outcomes over the past five years (2019-2024).

METHODS

Following PRISMA-ScR criteria (2018), MedLine/PubMed, Scopus, and Embase databases were searched for articles on maternal and child health outcomes associated with UPF consumption categorized by the NOVA system during pregnancy, out of 767 studies identified, 22 were eligible.

RESULTS

Overall, high UPF consumption during pregnancy was positively associated with various adverse maternal-child outcomes, including gestational diabetes mellitus, gestational weight gain, poor glycemic control, negative nutrition biomarkers, inflammatory markers, and hypertensive disorders during pregnancy. It also negatively impacted child growth and development, and was associated with adiposity gain, potential adverse mental disorders, indicators of poor nutrition, and poor overall diet quality.

CONCLUSIONS

Despite the limited data, high consumption of UPF during pregnancy adversely affected the health outcomes of both mothers and children, impacting nutrition indicators and diet quality. Further studies on this topic are needed. Promoting healthy eating habits among pregnant women is crucial for achieving optimal health outcomes.

GroceryDB: Prevalence of Processed Food in Grocery Stores

The offering of grocery stores is a strong driver of consumer decisions, shaping their diet and long-term health. While highly processed food like packaged products, processed meat, and sweetened soft drinks have been increasingly associated with unhealthy diet, information on the degree of processing characterizing an item in a store is not straight forward to obtain, limiting the ability of individuals to make informed choices. Here we introduce GroceryDB, a database with over 50,000 food items sold by Walmart, Target, and Wholefoods, unveiling how big data can be harnessed to empower consumers and policymakers with systematic access to the degree of processing of the foods they select, and the potential alternatives in the surrounding food environment. The extensive data gathered on ingredient lists and nutrition facts enables a large-scale analysis of ingredient patterns and degrees of processing, categorized by store, food category, and price range. Our findings reveal that the degree of food processing varies significantly across different food categories and grocery stores. Furthermore, this data allows us to quantify the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB and the associated http://TrueFood.Tech/ website make this information accessible, guiding consumers toward less processed food choices while assisting policymakers in reforming the food supply.

Ultra-processed food consumption is associated with the acceleration of biological aging in the Moli-sani Study

BACKGROUND

Healthy diets have been inversely associated with biological aging. However, the nutritional content is only one aspect of the overall food health potential, and more recently, increasing attention has been paid to nonnutrient food characteristics, such as food processing.

OBJECTIVES

To examine the association of ultra-processed food (UPF) consumption with biological aging measured by circulating blood biomarkers.

METHODS

Cross-sectional analyses were conducted on 22,495 participants enrolled in the Moli-sani Study (2005-2010, Italy). Food intake was assessed by a 188-item food frequency questionnaire. UPF was defined according to the Nova classification and calculated as the ratio (weight ratio; %) between UPF (g/d) and total food eaten (g/d). Diet quality was assessed by the Mediterranean Diet Score (MDS; ranging 0-9). A deep neural network approach based on 36 circulating biomarkers was used to compute biological age (BA), and the resulting difference (Δage = BA - chronological age)-an index of biological aging-was tested as dependent variable in multivariable linear regression analyses including known risk factors.

RESULTS

The mean Δage in this population was -0.70 (standard deviation ±7.70) years. In multivariable-adjusted analyses, higher intake of UPF was associated with accelerated Δage [β = 0.34 years; 95% confidence interval (CI): 0.08, 0.61 for the last fifth compared with the first). This association was not linear (P value for overall association <0.001; P value for nonlinearity = 0.049). Inclusion of the MDS into the model slightly attenuated this association by 9.1% (β = 0.31 years; 95% CI: 0.04, 0.59).

CONCLUSIONS

A diet rich in UPF was associated with an acceleration of biological aging in a large sample of Italian adults. The poor nutritional composition of highly processed foods weakly accounted for this association, suggesting that biological aging could be adversely influenced by nonnutrient characteristics of these foods.

Association between ultra-processed food intake and biological ageing in US adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2010

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.

Association of ultraprocessed food consumption with risk of microvascular complications among individuals with type 2 diabetes in the UK Biobank: a prospective cohort study

BACKGROUND

The poor nutritional characteristics and potentially harmful molecules in ultraprocessed foods (UPFs) are risk factors for diabetic microvascular complications. However, the evidence regarding UPFs and diabetic microvascular complications remains limited.

OBJECTIVES

We aimed to evaluate the associations between UPF consumption and risk of diabetic microvascular complications, to examine the underlying biological pathways (e.g., inflammation and lipid profile), and to identify whether the associations differ by type of UPF dietary patterns.

METHODS

We included a prospective cohort of UK Biobank participants with type 2 diabetes (T2D) having at least one 24-h dietary recall (N = 5685). UPFs were defined using the Nova classification. Principal component analysis was used to derive UPF consumption patterns. Associations of UPFs and their consumption patterns with microvascular complications were assessed using Cox proportional hazards regression models. Mediation analyses were used to estimate the mediating effects of 22 biomarkers.

RESULTS

During a median of 12.7 y of follow-up, 1243 composite microvascular complications events occurred (599 diabetic retinopathy, 237 diabetic neuropathy, and 662 diabetic kidney disease events). Five consumption patterns were identified (spread and bread, cereal prepared with liquids, dairy-based products, sugary beverage and snack, and mixed beverage and savory snack patterns). A 10% increment in the proportion of UPF was associated with higher hazards of the composite microvascular complications (hazard ratio [HR]: 1.08; 95% confidence interval [CI]: 1.03, 1.13) and diabetic kidney disease (HR: 1.13; 95% CI: 1.06, 1.20). Triglycerides, C-reactive protein, and body mass index collectively explained 22.0% (9.6%-43.0%) of the association between UPF intake and composite microvascular complications. Pattern high in mixed beverage and savory snack was associated with a higher risk of composite microvascular complications.

CONCLUSIONS

Higher UPF consumption was associated with higher risks of diabetic microvascular complications, and the association was partly mediated through multiple potential ways.

The association of ultra-processed food consumption with adult inflammatory bowel disease risk: a systematic review and dose-response meta-analysis of 4 035 694 participants

CONTEXT

There is an inconsistency between the results obtained from observational studies regarding intake of ultra-processed foods (UPFs) and the risk of inflammatory bowel disease (IBD).

OBJECTIVES

A dose-response meta-analysis was performed to evaluate the relationship between UPF intake and the risk of IBD.

DATA SOURCES

Searches were performed in the PubMed, ISI Web of Science, and Scopus databases up to November 2, 2022.

DATA EXTRACTION

Data were available from 24 studies including a total of 4 035 694 participants from 20 countries.

DATA ANALYSIS

Risk ratios for IBD were analyzed by a random-effects model. Outcomes indicated that UPF intake was linked to an increased risk of IBD (relative risk [RR], 1.13; 95%CI, 1.06-1.21; P = 0.001; I2 = 73.2%; n = 59; N = 4 035 694). This association was significant, especially for the risk of Crohn's disease (CD) (RR, 1.19; 95%CI, 1.00-1.41; I2 = 78.2%; P = 0.046; n = 23; N = 2 167 160), unlike the risk of ulcerative colitis (UC) (RR = 1.11; 95%CI, 0.99-1.26; P = 0.085; I2 = 60.3%; n = 27; N = 2 167 918). Also, results revealed that each 10% enhancement in daily UPF intake was not related to the risk of IBD (RR, 1.05; 95%CI, 0.98-1.14; P = 0.168; I2 = 31.9%; n = 4) or the risk of UC (RR, 1.01; 95%CI, 0.92-1.11; P = 0.876; I2 = 34.7%; n = 2) in adults. However, results suggested that for every 10% increase in daily UPF intake, there was a 19% increase in the risk of CD (RR, 1.19; 95%CI, 1.01-1.32; P = 0.021; I2 = 0.0%; n = 2) among adults. In addition, the results showed a positive linear relation between UPF intake with CD risk (Pnonlinearity = 0.431; Pdose response = 0.049) but not risk of IBD or UC.

CONCLUSION

High intake of UPFs was linked with an enhanced IBD risk, a specific risk of CD. However, conducting more observational studies among several ethnicities and using specific tools that accurately assess the amount of UPF consumption, components of UPFs, and food additives may be necessary. Systematic Review Registration: PROSPERO registration no. CRD42023390258.

Assessing the Impact of Religion and College Life on Consumption Patterns of Ultra-Processed Foods by Young Adults: A Cross-Sectional Study

(1) Background: University students, often constrained by time and influenced by socio-economic factors such as culture and religion, frequently adopt diets centred on ultra-processed foods (UPFs), increasing the risk of long-term non-communicable diseases. This study aimed to assess UPF consumption among Spanish university students and explore the potential impact of religion and the academic year on their eating habits. (2) Methods: In a cross-sectional study of 257 university students aged 18-31, UPF consumption was assessed using NOVA food classification at the academic year's start and end. Chi-square and Wilcoxon tests analysed UPF consumption changes, while binary logistic regression identified associations between religion and weekly UPF consumption. (3) Results: Muslim students had a consumption of industrial bakery products almost five times [95% CI: 2.694-9.259] higher than that observed among Christians. Similar data were observed for artificial juice consumption (OR = 3.897, 95% CI = 2.291-6.627) and candy consumption (OR = 3.724, 95% CI = 2.051-6.762). Moreover, a greater percentage of calories and grams of saturated fats from UPFs was observed for Muslims at the end of the study. (4) Conclusions: Highlighting the impact of religion on UPF consumption among students underscores the necessity of monitoring and intervening in dietary habits to prevent undesirable long-term complications such as cardiovascular diseases.

Association of ultra-processed food consumption with all cause and cause specific mortality: population based cohort study

OBJECTIVE

To examine the association of ultra-processed food consumption with all cause mortality and cause specific mortality.

DESIGN

Population based cohort study.

SETTING

Female registered nurses from 11 US states in the Nurses' Health Study (1984-2018) and male health professionals from all 50 US states in the Health Professionals Follow-up Study (1986-2018).

PARTICIPANTS

74 563 women and 39 501 men with no history of cancer, cardiovascular diseases, or diabetes at baseline.

MAIN OUTCOME MEASURES

Multivariable Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals for the association of ultra-processed food intake measured by semiquantitative food frequency questionnaire every four years with all cause mortality and cause specific mortality due to cancer, cardiovascular, and other causes (including respiratory and neurodegenerative causes).

RESULTS

30 188 deaths of women and 18 005 deaths of men were documented during a median of 34 and 31 years of follow-up, respectively. Compared with those in the lowest quarter of ultra-processed food consumption, participants in the highest quarter had a 4% higher all cause mortality (hazard ratio 1.04, 95% confidence interval 1.01 to 1.07) and 9% higher mortality from causes other than cancer or cardiovascular diseases (1.09, 1.05 to 1.13). The all cause mortality rate among participants in the lowest and highest quarter was 1472 and 1536 per 100 000 person years, respectively. No associations were found for cancer or cardiovascular mortality. Meat/poultry/seafood based ready-to-eat products (for example, processed meat) consistently showed strong associations with mortality outcomes (hazard ratios ranged from 1.06 to 1.43). Sugar sweetened and artificially sweetened beverages (1.09, 1.07 to 1.12), dairy based desserts (1.07, 1.04 to 1.10), and ultra-processed breakfast food (1.04, 1.02 to 1.07) were also associated with higher all cause mortality. No consistent associations between ultra-processed foods and mortality were observed within each quarter of dietary quality assessed by the Alternative Healthy Eating Index-2010 score, whereas better dietary quality showed an inverse association with mortality within each quarter of ultra-processed foods.

CONCLUSIONS

This study found that a higher intake of ultra-processed foods was associated with slightly higher all cause mortality, driven by causes other than cancer and cardiovascular diseases. The associations varied across subgroups of ultra-processed foods, with meat/poultry/seafood based ready-to-eat products showing particularly strong associations with mortality.

The Benefits of the Mediterranean Diet on Inflamm-Aging in Childhood Obesity

(1) Background: Numerous elements of the Mediterranean diet (MD) have antioxidant and anti-inflammatory qualities. (2) Methods: We present a narrative review of the potential benefits of the Mediterranean dietary pattern (MD) in mitigating aging-related inflammation (inflamm-aging) associated with childhood obesity. The mechanisms underlying chronic inflammation in obesity are also discussed. A total of 130 papers were included after screening abstracts and full texts. (3) Results: A complex interplay between obesity, chronic inflammation, and related comorbidities is documented. The MD emerges as a promising dietary pattern for mitigating inflammation. Studies suggest that the MD may contribute to weight control, improved lipid profiles, insulin sensitivity, and endothelial function, thereby reducing the risk of metabolic syndrome in children and adolescents with obesity. (4) Conclusions: While evidence supporting the anti-inflammatory effects of the MD in pediatric obesity is still evolving, the existing literature underscores its potential as a preventive and therapeutic strategy. However, MD adherence remains low among children and adolescents, necessitating targeted interventions to promote healthier dietary habits. Future high-quality intervention studies are necessary to elucidate the specific impact of the MD on inflammation in diverse pediatric populations with obesity and associated comorbidities.

The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota

The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010, n = 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.

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.

Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses

OBJECTIVE

To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes.

DESIGN

Systematic umbrella review of existing meta-analyses.

DATA SOURCES

MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Systematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing ("class I"), highly suggestive ("class II"), suggestive ("class III"), weak ("class IV"), or no evidence ("class V"). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as "high," "moderate," "low," or "very low" quality.

RESULTS

The search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality.

CONCLUSIONS

Greater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42023412732.

How and why ultra-processed foods harm human health

The analysis of food using a perspective centred on nutrients seems inadequate for understanding the dietary transition and its impact on the growth of obesity and chronic diseases. Industrial food processing is now proposed as the key to explain the relationship between food and health. The NOVA food classification considers the degree and the purpose of food processing, which includes physical, biological and chemical processes used after foods are separated from nature, and before being consumed or prepared as dishes and meals. NOVA has four food groups: (1) unprocessed and minimally processed foods; (2) processed culinary ingredients; (3) processed foods and (4) ultra-processed foods, which are formulations made mostly or entirely from substances derived from group 1 foods and additives, with little if any intact group 1 food. Many investigations linking high ultra-processed food consumption with deterioration of diets and adverse health outcomes are reinforced by prospective studies, systematic reviews and meta-analyses. There are various plausible explanations of why diets high in ultra-processed foods are harmful. Their production and consumption continue to rise worldwide. Efficient and effective public policies and actions that reduce production and consumption of ultra-processed products are needed, to protect human health now and in future.

Dietary Inflammatory Potential in Pediatric Diseases: A Narrative Review

Inflammatory status is one of the main drivers in the development of non-communicable diseases (NCDs). Specific unhealthy dietary patterns and the growing consumption of ultra-processed foods (UPFs) may influence the inflammation process, which negatively modulates the gut microbiota and increases the risk of NCDs. Moreover, several chronic health conditions require special long-term dietary treatment, characterized by altered ratios of the intake of nutrients or by the consumption of disease-specific foods. In this narrative review, we aimed to collect the latest evidence on the pro-inflammatory potential of dietary patterns, foods, and nutrients in children affected by multifactorial diseases but also on the dietetic approaches used as treatment for specific diseases. Considering multifactorial diet-related diseases, the triggering effect of pro-inflammatory diets has been addressed for metabolic syndrome and inflammatory bowel diseases, and the latter for adults only. Future research is required on multiple sclerosis, type 1 diabetes, and pediatric cancer, in which the role of inflammation is emerging. For diseases requiring special diets, the role of single or multiple foods, possibly associated with inflammation, was assessed, but more studies are needed. The evidence collected highlighted the need for health professionals to consider the entire dietary pattern, providing balanced and healthy diets not only to permit the metabolic control of the disease itself, but also to prevent the development of NCDs in adolescence and adulthood. Personalized nutritional approaches, in close collaboration between the hospital, country, and families, must always be promoted together with the development of new methods for the assessment of pro-inflammatory dietary habits in pediatric age and the implementation of telemedicine.

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.

Urinary phytoestrogens and the risk of uterine leiomyomata in US women

BACKGROUND

Uterine leiomyomata (UL) is a common gynecological disease in women. Studied on the relationship between single metabolites of urinary phytoestrogens and UL, especially for the combined effects of mixed metabolites on UL still are insufficient.

METHODS

In this cross-sectional study, we included 1,579 participants from the National Health and Nutrition Examination Survey. Urinary phytoestrogens were assessed by measuring urinary excretion of daidzein, genistein, equol, O-desmethylangolensin, enterodiol and enterolactone. The outcome was defined as UL. Weighted logistic regression was used to analyze the association between single metabolites of urinary phytoestrogens and UL. Notably, we adopted the weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and quantile g-computation (qgcomp) models, to investigate the combined effects of six mixed metabolites on UL.

RESULTS

The prevalence of UL was approximately 12.92%. After adjusting age, race/ethnicity, marital status, drinking status, body mass index, waist circumference, menopausal status, ovary removed status, use of female hormones, hormones/hormone modifiers, total energy, daidzein, genistein, O-desmethylangolensin, enterodiol, and enterolactone, the association of equol with UL was significant [Odds ratio (OR) = 1.92, 95% confidence interval (CI): 1.09-3.38]. In the WQS model, mixed metabolites of urinary phytoestrogen had a positive association with UL (OR = 1.68, 95%CI: 1.12-2.51), with the highest weighted chemical of equol. In the gpcomp model, equol had the largest positive weight, followed by genistein and enterodiol. In the BKMR model, equol and enterodiol have positive correlation on UL risk, while enterolactone has negative correlation.

CONCLUSION

Our results implied a positive association between the mixed metabolites of urinary phytoestrogen and UL. This study provides evidence that urinary phytoestrogen-metabolite mixture was closely related to the risk of female UL.

Machine learning prediction of the degree of food processing

Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food. Indeed, the current processing-based classification of food has limited coverage and does not differentiate between degrees of processing, hindering consumer choices and slowing research on the health implications of processed food. Here we introduce a machine learning algorithm that accurately predicts the degree of processing for any food, indicating that over 73% of the US food supply is ultra-processed. We show that the increased reliance of an individual's diet on ultra-processed food correlates with higher risk of metabolic syndrome, diabetes, angina, elevated blood pressure and biological age, and reduces the bio-availability of vitamins. Finally, we find that replacing foods with less processed alternatives can significantly reduce the health implications of ultra-processed food, suggesting that access to information on the degree of processing, currently unavailable to consumers, could improve population health.

Diet Quality, Microbial Lignan Metabolites, and Cardiometabolic Health among US Adults

The gut microbiome has been shown to play a role in the relationship between diet and cardiometabolic health. We sought to examine the degree to which key microbial lignan metabolites are involved in the relationship between diet quality and cardiometabolic health using a multidimensional framework. This analysis was undertaken using cross-sectional data from 4685 US adults (age 43.6 ± 16.5 years; 50.4% female) participating in the National Health and Nutrition Examination Survey for 1999–2010. Dietary data were collected from one to two separate 24-hour dietary recalls and diet quality was characterized using the 2015 Healthy Eating Index. Cardiometabolic health markers included blood lipid profile, glycemic control, adiposity, and blood pressure. Microbial lignan metabolites considered were urinary concentrations of enterolignans, including enterolactone and enterodiol, with higher levels indicating a healthier gut microbial environment. Models were visually examined using a multidimensional approach and statistically analyzed using three-dimensional generalized additive models. There was a significant interactive association between diet quality and microbial lignan metabolites for triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, insulin, oral glucose tolerance, adiposity, systolic blood pressure, and diastolic blood pressure (all p < 0.05). Each of these cardiometabolic health markers displayed an association such that optimal cardiometabolic health was only observed in individuals with both high diet quality and elevated urinary enterolignans. When comparing effect sizes on the multidimensional response surfaces and model selection criteria, the strongest support for a potential moderating relationship of the gut microbiome was observed for fasting triglycerides and oral glucose tolerance. In this study, we revealed interactive associations of diet quality and microbial lignan metabolites with cardiometabolic health markers. These findings suggest that the overall association of diet quality on cardiometabolic health may be affected by the gut microbiome.

Bacteriological Quality and Biotoxin Profile of Ready-to-Eat Foods Vended in Lagos, Nigeria

A comprehensive study of bacterial and biotoxin contaminants of ready-to-eat (RTE) foods in Nigeria is yet to be reported. Hence, this study applied 16S rRNA gene sequencing and a dilute-and-shoot LC-MS/MS method to profile bacteria and biotoxins, respectively, in 199 RTE food samples comprising eko (n = 30), bread (n = 30), shawarma (n = 35), aadun (n = 35), biscuits (n = 34), and kokoro (n = 35). A total of 631 bacterial isolates, clustered into seven operational taxonomic units, namely Acinetobacter, Bacillus, Klebsiella, Proteus and Kosakonia, Kurthia, and Yokenella, that are reported for the first time were recovered from the foods. One hundred and eleven metabolites comprising mycotoxins and other fungal metabolites, phytoestrogenic phenols, phytotoxins, and bacterial metabolites were detected in the foods. Aflatoxins, fumonisins, and ochratoxins contaminated only the artisanal foods (aadun, eko, and kokoro), while deoxynivalenol and zearalenone were found in industrially-processed foods (biscuit, bread, and shawarma), and citrinin was present in all foods except eko. Mean aflatoxin (39.0 µg/kg) in artisanal foods exceeded the 10 µg/kg regulatory limit adopted in Nigeria by threefold. Routine surveillance, especially at the informal markets; food hygiene and safety education to food processors and handlers; and sourcing of high-quality raw materials are proposed to enhance RTE food quality and safeguard consumer health.

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.

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.

Does the concept of "ultra-processed foods" help inform dietary guidelines, beyond conventional classification systems? NO

The Nova classification of ultra-processed foods (UPFs) rests on poorly defined food processes and the presence of food additives from a chemically heterogeneous group, easily leading to misclassification. UPFs are claimed to promote overconsumption of energy and obesity due to high palatability, but little evidence supports effects beyond those that can be accounted for by nutrient composition, energy density, and food matrices. Observational studies link dietary intake of UPFs with obesity, but none have demonstrated independent associations after controlling for likely confounders. A highly cited randomized controlled feeding study that compared a UPF diet with an unprocessed diet showed a rapidly weaning effect on energy intake that can be entirely explained by more conventional and quantifiable dietary factors, including energy density, intrinsic fiber, glycemic load, and added sugar. Clearly, many aspects of food processing can affect health outcomes, but conflating them into the notion of ultra-processing is unnecessary, because the main determinants of chronic disease risk are already captured by existing nutrient profiling systems. In conclusion, the Nova classification adds little to existing nutrient profiling systems; characterizes several healthy, nutrient-dense foods as unhealthy; and is counterproductive to solve the major global food production challenges.

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.

Distinct factors associated with short-term and long-term weight loss induced by low-fat or low-carbohydrate diet intervention

To understand what determines the success of short- and long-term weight loss, we conduct a secondary analysis of dietary, metabolic, and molecular data collected from 609 participants before, during, and after a 1-year weight-loss intervention with either a healthy low-carbohydrate (HLC) or a healthy low-fat (HLF) diet. Through systematic analysis of multidomain datasets, we find that dietary adherence and diet quality, not just caloric restriction, are important for short-term weight loss in both diets. Interestingly, we observe minimal dietary differences between those who succeeded in long-term weight loss and those who did not. Instead, proteomic and gut microbiota signatures significantly differ between these two groups at baseline. Moreover, the baseline respiratory quotient may suggest a specific diet for better weight-loss outcomes. Overall, the identification of these dietary, molecular, and metabolic factors, common or unique to the HLC and HLF diets, provides a roadmap for developing individualized weight-loss strategies.

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.

A Comparison of the Australian Dietary Guidelines to the NOVA Classification System in Classifying Foods to Predict Energy Intakes and Body Mass Index

NOVA classification distinguishes foods by level of processing, with evidence suggesting that a high intake of ultra-processed foods (UPFs, NOVA category 4) leads to obesity. The Australian Dietary Guidelines, in contrast, discourage excess consumption of “discretionary foods” (DFs), defined according to their composition. Here, we (i) compare the classification of Australian foods under the two systems, (ii) evaluate their performance in predicting energy intakes and body mass index (BMI) in free-living Australians, and (iii) relate these outcomes to the protein leverage hypothesis of obesity. Secondary analysis of the Australian National Nutrition and Physical Activity Survey was conducted. Non-protein energy intake increased by 2.1 MJ (p < 0.001) between lowest and highest tertiles of DF intake, which was significantly higher than UPF (0.6 MJ, p < 0.001). This demonstrates that, for Australia, the DF classification better distinguishes foods associated with high energy intakes than does the NOVA system. BMI was positively associated with both DFs (−1. 0, p = 0.0001) and UPFs (−1.1, p = 0.0001) consumption, with no difference in strength of association. For both classifications, macronutrient and energy intakes conformed closely to the predictions of protein leverage. We account for the similarities and differences in performance of the two systems in an analysis of Australian foods.

Association of ultra-processed food consumption with colorectal cancer risk among men and women: results from three prospective US cohort studies

OBJECTIVE

To examine the association between consumption of ultra-processed foods and risk of colorectal cancer among men and women from three large prospective cohorts.

DESIGN

Prospective cohort study with dietary intake assessed every four years using food frequency questionnaires.

SETTING

Three large US cohorts.

PARTICIPANTS

Men (n= 46 341) from the Health Professionals Follow-up Study (1986-2014) and women (n=159 907) from the Nurses' Health Study (1986-2014; n=67 425) and the Nurses' Health Study II (1991-2015; n=92 482) with valid dietary intake measurement and no cancer diagnosis at baseline.

MAIN OUTCOME MEASURE

Association between ultra-processed food consumption and risk of colorectal cancer, estimated using time varying Cox proportional hazards regression models adjusted for potential confounding factors.

RESULTS

3216 cases of colorectal cancer (men, n=1294; women, n=1922) were documented during the 24-28 years of follow-up. Compared with those in the lowest fifth of ultra-processed food consumption, men in the highest fifth of consumption had a 29% higher risk of developing colorectal cancer (hazard ratio for highest versus lowest fifth 1.29, 95% confidence interval 1.08 to 1.53; P for trend=0.01), and the positive association was limited to distal colon cancer (72% increased risk; hazard ratio 1.72, 1.24 to 2.37; P for trend<0.001). These associations remained significant after further adjustment for body mass index or indicators of nutritional quality of the diet (that is, western dietary pattern or dietary quality score). No association was observed between overall ultra-processed food consumption and risk of colorectal cancer among women. Among subgroups of ultra-processed foods, higher consumption of meat/poultry/seafood based ready-to-eat products (hazard ratio for highest versus lowest fifth 1.44, 1.20 to 1.73; P for trend<0.001) and sugar sweetened beverages (1.21, 1.01 to 1.44; P for trend=0.013) among men and ready-to-eat/heat mixed dishes among women (1.17, 1.01 to 1.36; P for trend=0.02) was associated with increased risk of colorectal cancer; yogurt and dairy based desserts were negatively associated with the risk of colorectal cancer among women (hazard ratio 0.83, 0.71 to 0.97; P for trend=0.002).

CONCLUSIONS

In the three large prospective cohorts, high consumption of total ultra-processed foods in men and certain subgroups of ultra-processed foods in men and women was associated with an increased risk of colorectal cancer. Further studies are needed to better understand the potential attributes of ultra-processed foods that contribute to colorectal carcinogenesis.

Level of understanding and consumption of ultra-processed food in a Mediterranean population: A cross-sectional study

BACKGROUND AND AIMS

Since the population may not be aware of ultra-processed food (UPF) consumption as a result of ignorance or non-recognition, this study aimed to ascertain the main characteristics of subjects regarding their knowledge of different easily acquired foods through a questionnaire in Google Forms format with 52 questions. Secondary objectives were to determine whether the profile of UPF consumers can be defined based on sex, age, sociodemographic factors, and lifestyle.

METHODS AND RESULTS

Responses were received from 1037 participants from a convenience sample; of these, 83 (8.0%) were sporadic or non-users, and 954 (92.0%) were frequent UPF consumers. The participants of the upper tertile correctly matched >12 food items, those of the medium tertile matched 12-9 items, and those of the lower tertile matched <9 items. Factors independently associated with participants who better identified UPF (upper tertile) compared to those of the lower tertile (reference) were female sex (OR: 2.54, 95%CI: 1.70-3.79; p < 0.001), age between 21 and 50 (OR: 3.63, 95% CI: 2.56-5.15; p < 0.001), living with family (OR: 0.64, 95% CI: 0.41-9.96; p = 0.033), and eating more fruit (≥3 pieces/day, OR: 2.30, 95% CI: 1.61-3.27; p < 0.001).

CONCLUSIONS

These findings highlight the high consumption and low degree of awareness of UPF among consumers based mainly on food composition.

Lignan exposure: a worldwide perspective

Dietary lignans are phytoestrogens that are mostly found in plant-based foods, especially whole grains, seeds, nuts, legumes and vegetables. An accurate assessment of lignan exposure is crucial to evaluate their potential health benefits and to establish future recommendations and dietary guidelines. This narrative review aimed to (i) summarize the pros and the cons of the current main assessment methods for lignan exposure─i.e., dietary questionnaires, food composition tables and biomarkers, (ii) describe the individual lignans more consumed from a worldwide perspective, as well as their main food sources, (iii) determine the lignans concentrations in both urine and blood, and explore their heterogeneity among countries, and finally (iv) discuss the main determinants of lignan exposure.

Processed Foods - Getting Back to The Basics

PURPOSE OF REVIEW

Real-world data suggested that more than half of daily energy intake is coming from processed and ultra-processed foods in most western countries. This high consumption of processed foods is of concern, given laboratory and epidemiological studies' findings that prove overwhelming harms of processed foods on human health.

RECENT FINDINGS

Data demonstrate that consumption of processed foods is increasing with more reports linking ultra-processed foods to various medical conditions; namely, obesity, metabolic syndrome, atherosclerotic cardiovascular diseases, and certain types of cancer. Scientific community's understanding of the mechanisms and substances by which processed foods are affecting human health is expanding. Holistic approach to the current critical situation is advisable and requires collaborative public health strategies. The current review describes recent classification of processed foods and highlights the pertinent findings in the relationship between processed foods and health. It also outlines key clinical data relevant to the topic.

Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort)

The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.

Association between consumption of ultra-processed foods and hyperuricemia: TCLSIH prospective cohort study

BACKGROUND AND AIMS

Emerging evidence suggests that consumption of ultra-processed foods (UPF) plays a role in the development of chronic diseases, but evidence of their influence on hyperuricemia is limited. We therefore designed a cohort study to examine whether UPF consumption increase the risk of hyperuricemia in adults.

METHODS AND RESULTS

This was a prospective study (n = 18,444) performed in Tianjin, China from 2013 to 2019. Participants that were aged 18 years and over and with no history of hyperuricemia, were followed up for 1-6 years (median follow-up duration = 4.2 years). UPF consumption was assessed by a validated semi-quantitative food frequency questionnaire. Hyperuricemia was defined as serum uric acid levels ≥7.0 mg/dL in males and ≥ 6 mg/dL in females. Multivariable Cox proportional hazards regression models were used to assess the association between UPF consumption and the risk of hyperuricemia. Restricted cubic spline regression was used to estimate the dose-response association between UPF consumption and risk of hyperuricemia. During follow-up period, the incidence of hyperuricemia was 20.3% in general population (27.7% in males and 13.2% in females). In the final multivariate models, the hazard ratios (95% confidence interval) for hyperuricemia across energy adjusted UPF consumption quartiles were 1.00 (reference), 1.04 (0.94, 1.14), 1.11 (1.01, 1.23), 1.16 (1.05, 1.28) (p for trend = 0.02) in general population.

CONCLUSIONS

This population-based prospective cohort study suggests that increased consumption of UPF is independently associated the risk of hyperuricemia.

Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta-analysis of 43 observational studies

This systematic review and meta-analysis investigated the association between consumption of ultraprocessed food and noncommunicable disease risk, morbidity and mortality. Forty-three observational studies were included (N = 891,723): 21 cross-sectional, 19 prospective, two case-control and one conducted both a prospective and cross-sectional analysis. Meta-analysis demonstrated consumption of ultraprocessed food was associated with increased risk of overweight (odds ratio: 1.36; 95% confidence interval [CI], 1.23-1.51; P < 0.001), obesity (odds ratio: 1.51; 95% CI, 1.34-1.70; P < 0.001), abdominal obesity (odds ratio: 1.49; 95% CI, 1.34-1.66; P < 0.0001), all-cause mortality (hazard ratio: 1.28; 95% CI, 1.11-1.48; P = 0.001), metabolic syndrome (odds ratio: 1.81; 95% CI, 1.12-2.93; P = 0.015) and depression in adults (hazard ratio: 1.22; 95% CI, 1.16-1.28, P < 0.001) as well as wheezing (odds ratio: 1.40; 95% CI, 1.27-1.55; P < 0.001) but not asthma in adolescents (odds ratio: 1.20; 95% CI, 0.99-1.46; P = 0.065). In addition, consumption of ultraprocessed food was associated with cardiometabolic diseases, frailty, irritable bowel syndrome, functional dyspepsia and cancer (breast and overall) in adults while also being associated with metabolic syndrome in adolescents and dyslipidaemia in children. Although links between ultraprocessed food consumption and some intermediate risk factors in adults were also highlighted, further studies are required to more clearly define associations in children and adolescents. STUDY REGISTRATION: Prospero ID: CRD42020176752.

Impacto do consumo de alimentos ultraprocessados na saúde de crianças, adolescentes e adultos: revisão de escopo

O objetivo deste trabalho foi realizar uma revisão de escopo da literatura acerca da associação entre o consumo de alimentos ultraprocessados e desfechos em saúde. A busca foi realizada nas bases PubMed, Web of Science e LILACS. Foram elegíveis os estudos que avaliaram a associação entre o consumo de alimentos ultraprocessados identificados com base na classificação NOVA e os desfechos em saúde. O processo de revisão resultou na seleção de 63 estudos, os quais foram analisados em termos de qualidade com base em ferramenta do Instituto Nacional de Saúde dos Estados Unidos. Os desfechos encontrados incluíram indicadores de obesidade, marcadores de risco metabólico, diabetes, doenças cardiovasculares, câncer, asma, depressão, fragilidade, doenças gastrointestinais e mortalidade. A evidência foi particularmente consistente para obesidade (ou indicadores relacionados a ela) em adultos, cuja associação com o consumo de ultraprocessados foi demonstrada, com efeito dose-resposta, em estudos transversais com amostras representativas de cinco países, em quatro grandes estudos de coorte e em um ensaio clínico randomizado. Grandes estudos de coorte também encontraram associação significativa entre o consumo de alimentos ultraprocessados e o risco de doenças cardiovasculares, diabetes e câncer, mesmo após ajuste para obesidade. Dois estudos de coorte demonstraram associação do consumo de alimentos ultraprocessados com depressão e quatro estudos de coorte com mortalidade por todas as causas. Esta revisão sumarizou os resultados de trabalhos que descreveram a associação entre o consumo de alimentos ultraprocessados e as diversas doenças crônicas não transmissíveis e seus fatores de risco, o que traz importantes implicações para a saúde pública.

Ultra-Processed Food Is Positively Associated With Depressive Symptoms Among United States Adults

Ultra-processed foods (UPFs) are popular in the United States. In recent years, there has been an increasing interest in the health impact of UPF. This study is conducted to assess the association between UPF consumption and depressive symptoms among United States adults. Data were collected from the National Health and Nutrition Examination Survey 2011-2016. Dietary data were obtained through 24-h dietary recall interviews. Depressive symptoms were detected by a nine-item Patient Health Questionnaire; participants with more than 10 points were diagnosed with depressive symptoms. Results of logistic regression revealed a positive association between UPF consumption and depressive symptoms. The study suggests that UPF may increase the risk of depressive symptoms, particularly in people with less exercise.

Consumption of ultra-processed foods and health outcomes: a systematic review of epidemiological studies

Background

Consumption of ultra-processed foods (UPFs) plays a potential role in the development of obesity and other diet-related noncommunicable diseases (NCDs), but no studies have systematically focused on this. This study aimed to summarize the evidence for the association between UPFs consumption and health outcomes.

Methods

A comprehensive search was conducted in PubMed, Embase, and Web of Science to identify all relevant studies. Epidemiological studies were included, and identified studies were evaluated for risk of bias.A narrative review of the synthesized findings was provided to assess the association between UPFs consumption and health outcomes.

Results

20 studies (12 cohort and 8 cross-sectional studies) were included in the analysis, with a total of 334,114 participants and 10 health outcomes. In a narrative review, high UPFs consumption was obviously associated with an increased risk of all-cause mortality, overall cardiovascular diseases, coronary heart diseases, cerebrovascular diseases, hypertension, metabolic syndrome, overweight and obesity, depression, irritable bowel syndrome, overall cancer, postmenopausal breast cancer, gestational obesity, adolescent asthma and wheezing, and frailty. It showed no significant association with cardiovascular disease mortality, prostate and colorectal cancers, gestational diabetes mellitus and gestational overweight.

Conclusions

This study indicated a positive association between UPFs consumption and risk of several health outcomes. Large-scale prospective designed studies are needed to confirm our findings.

Ultra-processed food and the risk of overweight and obesity: a systematic review and meta-analysis of observational studies

BACKGROUND

Numerous studies have reported the association of ultra-processed foods with excess body weight; however, the nature and extent of this relation has not been clearly established. This systematic review was conducted to analyze the currently documented evidence regarding the association between ultra-processed food with overweight and obesity.

METHODS

A literature search was performed using multiple literature databases for relevant articles published prior to November 2019. Random effects model, namely the DerSimonian-Laird method, was applied to pool effect sizes. The potential sources of heterogeneity across studies were explored using the Cochrane Q test.

RESULTS

Fourteen studies (one cohort study and thirteen cross-sectional studies) were included in this review. A significant association was identified between ultra-processed food intake and overweight (pooled effect size: 1.02; 95% confidence interval (95% CI): 1.01, 1.03, p < 0.001) and obesity (pooled effect size: 1.26; 95% CI: 1.13, 1.41, p < 0.001).

CONCLUSION

Our findings revealed a positive association between ultra-processed foods and excess body weight. Future studies with longitudinal designs and adequate control for confounding factors are required to clarify whether ultra-processed food intake alters anthropometric parameters and leads to obesity.

Ultra-Processed Foods and Health Outcomes: A Narrative Review

The nutrition literature and authoritative reports increasingly recognise the concept of ultra-processed foods (UPF), as a descriptor of unhealthy diets. UPFs are now prevalent in diets worldwide. This review aims to identify and appraise the studies on healthy participants that investigated associations between levels of UPF consumption and health outcomes. This involved a systematic search for extant literature; integration and interpretation of findings from diverse study types, populations, health outcomes and dietary assessments; and quality appraisal. Of 43 studies reviewed, 37 found dietary UPF exposure associated with at least one adverse health outcome. Among adults, these included overweight, obesity and cardio-metabolic risks; cancer, type-2 diabetes and cardiovascular diseases; irritable bowel syndrome, depression and frailty conditions; and all-cause mortality. Among children and adolescents, these included cardio-metabolic risks and asthma. No study reported an association between UPF and beneficial health outcomes. Most findings were derived from observational studies and evidence of plausible biological mechanisms to increase confidence in the veracity of these observed associations is steadily evolving. There is now a considerable body of evidence supporting the use of UPFs as a scientific concept to assess the 'healthiness' of foods within the context of dietary patterns and to help inform the development of dietary guidelines and nutrition policy actions.

Consumption of Ultra-Processed Foods and Mortality: A National Prospective Cohort in Spain

OBJECTIVE

To assess the prospective association between ultra-processed food consumption and all-cause mortality and to examine the effect of theoretical iso-caloric non-processed foods substitution.

PATIENTS AND METHODS

A population-based cohort of 11,898 individuals (mean age 46.9 years, and 50.5% women) were selected from the ENRICA study, a representative sample of the noninstitutionalized Spanish population. Dietary information was collected by a validated computer-based dietary history and categorized according to their degree of processing using NOVA classification. Total mortality was obtained from the National Death Index. Follow-up lasted from baseline (2008-2010) to mortality date or December 31^th, 2016, whichever was first. The association between quartiles of consumption of ultra-processed food and mortality was analyzed by Cox models adjusted for the main confounders. Restricted cubic-splines were used to assess dose-response relationships when using iso-caloric substitutions.

RESULTS

Average consumption of ultra-processed food was 385 g/d (24.4% of the total energy intake). After a mean follow-up of 7.7 years (93,599 person-years), 440 deaths occurred. The hazard ratio (and 95% CI) for mortality in the highest versus the lowest quartile of ultra-processed food consumption was 1.44 (95% CI, 1.01-2.07; P trend=.03) in percent of energy and 1.46 (95% CI, 1.04-2.05; P trend=.03) in grams per day per kilogram. Isocaloric substitution of ultra-processed food with unprocessed or minimally processed foods was associated with a significant nonlinear decrease in mortality.

CONCLUSION

A higher consumption of ultra-processed food was associated with higher mortality in the general population. Furthermore, the theoretical iso-caloric substitution ultra-processed food by unprocessed or minimally processed foods would suppose a reduction of the mortality risk. If confirmed, these findings support the necessity of the development of new nutritional policies and guides at the national and international level.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01133093.

Ultra-processed food consumption and exposure to phthalates and bisphenols in the US National Health and Nutrition Examination Survey, 2013-2014

BACKGROUND

Ultra-processed food has low nutritional quality, is associated with development of chronic diseases, and may increase exposure to chemicals used in food packaging and production.

OBJECTIVES

To assess associations of ultra-processed food consumption with exposure to phthalates and bisphenols, including newer replacements, in the general U.S.

METHODS

Among 2212 National Health and Nutrition Examination Survey (NHANES) 2013-2014 participants (≥6 years), we classified items reported in a 24-h dietary recall according to the NOVA food processing classification system and calculated energy intake from ultra-processed food. Urinary concentrations of mono-benzyl (MBzP), mono-(3-carboxypropyl) (MCPP), mono-(carboxyisononyl) (MCNP), mono-(carboxyisoctyl) (MCOP), and four metabolites of di(2-ethylhexyl) (∑DEHP) phthalates and bisphenols A, F, and S were measured in spot urine samples. We estimated percent changes in natural log creatinine-standardized concentrations per 10% higher energy from ultra-processed food in covariate-adjusted multivariable linear regression models. We examined effect measure modification by age group, race/ethnicity, and poverty:income ratio and assessed associations with minimally processed food intake.

RESULTS

In adjusted models, higher energy from ultra-processed food was associated with higher urinary concentrations of MCPP, MCNP, and MCOP but not MBzP, ∑DEHP, or bisphenols. Each 10% higher energy from ultra-processed food was associated with 8.0% (95% CI: 5.6%, 10.3%) higher urinary MCOP concentrations, with a stronger association among children than adolescents or adults. Ultra-processed sandwiches/hamburgers, French fries/other potato products, and ice cream/pops were associated with higher concentrations of multiple chemicals. Higher energy from minimally processed food was associated with lower concentrations of MCPP, MCNP, MCOP, and bisphenols A and F.

DISCUSSION

Ultra-processed food consumption may increase exposure to currently used phthalates. Additional research is needed to determine whether minimally processed food diets or changes in food production practices can reduce phthalate and bisphenol exposures and related health effects, particularly among children who are more vulnerable to toxicants and tend to consume more ultra-processed food than adults.

Dietary share of ultra-processed foods and metabolic syndrome in the US adult population

This study sought to examine the relationship between dietary share of ultra-processed foods and metabolic syndrome among US adults. We studied 6, 385 participants from the cross-sectional National Health and Nutrition Examination Survey 2009-2014, aged 20+ years, with blood tests under fasting conditions and at least one 24-hour dietary recall. Food items were classified according to the extent and purpose of industrial food processing. Ultra-processed foods (UPF) are formulations of many ingredients, mostly of exclusive industrial use, that result from a sequence of industrial processes (hence ultra-processed). Metabolic Syndrome (MetS) was defined according to the 2009 Joint Scientific Statement as meeting three or more of the following criteria: (1) elevated waist circumference (2) elevated fasting plasma glucose (3) elevated blood pressure (4) elevated triglycerides (5) reduced high-density lipoprotein (HDL-C). Poisson regression models with robust variance adjusted for age, sex, race/ethnicity, family income, education, physical activity and smoking showed significant linear association between the dietary contribution of UPF and the prevalence of MetS (a 10% increase in contribution was associated with a 4% prevalence increase) (prevalence ratio -PR- = 1.04; 95% CI 1.02, 1.07). A dietary UPF contribution of >71% (5th population quintile) was associated with 28% higher prevalence of MetS compared to a contribution below 40% (1st population quintile) (PR = 1.28; 95% CI 1.09, 1.50). The association was stronger in young adults (PR between upper and lower quintiles = 1.94; 95% CI 1.39, 2.72) and decreased with age. These findings add to the growing evidence that UPF consumption is associated with diet-related non-communicable diseases.

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[Consumption of fruits and the association with ultra-processed food intake in Brazil in 2008-2009]

The scope of this study was to describe the consumption of fruit in Brazil and its association with the intake of ultra-processed (UP) foods in a representative sample of 32,900 individuals from the 2008-2009 Household Budget Survey. The association between calory contribution of fruit to the diet and quintiles of UP food intake was analyzed using linear regression. Fruit accounted for just over 5% of the calories, about half of which (2.4%) was in the form of juice. Men revealed lower consumption than women, and consumption increased with increasing age, income, and schooling. An inverse association between consumption of whole fruits and UP food was observed. Among the individuals who reported consuming fruit (68%), there was little diversity (mean: 1.16 types/day). The fruit most consumed included orange, banana, and apple. Whole fruit was consumed mainly at lunchtime and as snacks. The consumption was inversely associated with UP food intake at lunch, afternoon snack, and dinner. Juices were consumed mainly at lunchtime and did not vary with UP food intake. Higher fruit consumption outside the home occurred in all quintiles of UP food intake. Low fruit intake in Brazil and the association with UP consumption highlight the need for initiatives to promote healthy eating.

Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study

OBJECTIVE

To evaluate the association between consumption of ultra-processed foods and all cause mortality.

DESIGN

Prospective cohort study.

SETTING

Seguimiento Universidad de Navarra (SUN) cohort of university graduates, Spain 1999-2018.

PARTICIPANTS

19 899 participants (12 113 women and 7786 men) aged 20-91 years followed-up every two years between December 1999 and February 2014 for food and drink consumption, classified according to the degree of processing by the NOVA classification, and evaluated through a validated 136 item food frequency questionnaire.

MAIN OUTCOME MEASURE

Association between consumption of energy adjusted ultra-processed foods categorised into quarters (low, low-medium, medium-high, and high consumption) and all cause mortality, using multivariable Cox proportional hazard models.

RESULTS

335 deaths occurred during 200 432 persons years of follow-up. Participants in the highest quarter (high consumption) of ultra-processed foods consumption had a higher hazard for all cause mortality compared with those in the lowest quarter (multivariable adjusted hazard ratio 1.62, 95% confidence interval 1.13 to 2.33) with a significant dose-response relation (P for linear trend=0.005). For each additional serving of ultra-processed foods, all cause mortality relatively increased by 18% (adjusted hazard ratio 1.18, 95% confidence interval 1.05 to 1.33).

CONCLUSIONS

A higher consumption of ultra-processed foods (>4 servings daily) was independently associated with a 62% relatively increased hazard for all cause mortality. For each additional serving of ultra-processed food, all cause mortality increased by 18%.

STUDY REGISTRATION

ClinicalTrials.gov NCT02669602.

Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study

OBJECTIVE

To evaluate the association between consumption of ultra-processed foods and all cause mortality.

DESIGN

Prospective cohort study.

SETTING

Seguimiento Universidad de Navarra (SUN) cohort of university graduates, Spain 1999-2018.

PARTICIPANTS

19 899 participants (12 113 women and 7786 men) aged 20-91 years followed-up every two years between December 1999 and February 2014 for food and drink consumption, classified according to the degree of processing by the NOVA classification, and evaluated through a validated 136 item food frequency questionnaire.

MAIN OUTCOME MEASURE

Association between consumption of energy adjusted ultra-processed foods categorised into quarters (low, low-medium, medium-high, and high consumption) and all cause mortality, using multivariable Cox proportional hazard models.

RESULTS

335 deaths occurred during 200 432 persons years of follow-up. Participants in the highest quarter (high consumption) of ultra-processed foods consumption had a higher hazard for all cause mortality compared with those in the lowest quarter (multivariable adjusted hazard ratio 1.62, 95% confidence interval 1.13 to 2.33) with a significant dose-response relation (P for linear trend=0.005). For each additional serving of ultra-processed foods, all cause mortality relatively increased by 18% (adjusted hazard ratio 1.18, 95% confidence interval 1.05 to 1.33).

CONCLUSIONS

A higher consumption of ultra-processed foods (>4 servings daily) was independently associated with a 62% relatively increased hazard for all cause mortality. For each additional serving of ultra-processed food, all cause mortality increased by 18%.

STUDY REGISTRATION

ClinicalTrials.gov NCT02669602.