Mercury contents and potential exposure risk of rice-containing food products.

Mercury (Hg), especially methylmercury (MeHg), accumulation in rice grain due to rice paddy possessing conditions conducive to Hg methylation has led to human Hg exposure through consumption of rice-based daily meals. In addition to being a food staple, rice is widely used as a raw material to produce a vast variety of processed food products. Little is known about Hg levels in snacking rice-food products and potential Hg exposure from consumption of them, besides previous studies on infant rice cereals. Aiming to provide complementary information for a more complete assessment on Hg exposure risk originated from Hg-containing rice, this study determined total Hg (THg) and MeHg levels in 195 rice-containing and rice-free processed food products covering all major types of snack foods marketed in China and the estimated daily intake (EDI) of dietary Hg from the consumption of these foods. The results clearly showed THg and MeHg contents in rice-containing foods were significantly higher than rice-free products, suggesting the transfer of Hg and MeHg from the rice to the end products, even after manufacturing processes. Moreover, significant positive correlations were observed between THg, MeHg, or MeHg/THg ratio and rice content for samples containing multiple grains as ingredients, further indicating the deciding role of rice for Hg levels in the end food products. Although the EDI of THg and MeHg via rice-based food products were relatively low compared to the reference dose, it should be considered these snacking food products would contribute additive Hg intake outside of the daily regular meals.

Degree of Food Processing is Associated with Glycemic Control in African American Adults with Type 2 Diabetes: Findings from the TX STRIDE Clinical Trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) disproportionately affects African American (AA) populations. Despite the importance of diet in diabetes management, the association of diet quality and/or the degree of food processing with glycemic control in AA adults with T2DM remains unclear. OBJECTIVE: This study aimed to examine associations between diet quality scores and the degree of processing in the diet with HbA1c in AA adults with T2DM. DESIGN: This cross-sectional study used baseline data from participants in TX STRIDE (Texas Strength Through Resilience in Diabetes Education), an ongoing clinical trial. PARTICIPANTS/SETTING: Participants involved in this analysis (n=273) were AA adults with T2DM recruited through local churches in Austin, TX, and the surrounding areas from August 2020 through April 2023. MAIN OUTCOME MEASURES: Participants provided two 24-hour dietary recalls (one weekend and one weekday) and a blood sample to measure HbA1c. Healthy Eating Index-2015, Alternate Healthy Eating Index-2010, and Alternate Mediterranean Diet scores were calculated. The NOVA method was used to calculate the percentage of grams and calories that came from ultra-processed foods (UPF) and unprocessed or minimally processed foods (U/MPF). STATISTICAL ANALYSES PERFORMED: Linear regression and ANOVA models tested associations between the diet quality scores and degree of food processing with HbA1c, adjusting for demographic covariates. Models were stratified by insulin use after finding a significant interaction with UPF and U/MPF. RESULTS: Regression analyses revealed that the percentage of grams in the total diet from UPF was positively associated with HbA1c (ßadj =0.015, Padj =0.032) while U/MPF was inversely associated with HbA1c (ßadj = -0.014, Padj =0.043). There was no significant association between any diet quality score and HbA1c. CONCLUSIONS: In AA adults with T2DM, only the degree of food processing was associated with HbA1c. Future research should explore whether a causal relationship exists between food processing and HbA1c and investigate mechanisms by which UPFs may affect glycemic control.

Consumer food environments change over a 5-year period.

OBJECTIVE: Evaluate the 5-year changes in the consumers' food environment in the area of a health promotion service in Brazilian primary health care. Our hypothesis is that the consumers' food environment in the areas with primary healthcare services has changes that may favour healthy eating habits over time. DESIGN: Longitudinal study. SETTING: The territory around the primary healthcare services in Belo Horizonte, Minas Gerais, Brazil. PARTICIPANTS: All food stores and open-air food markets that sell fruits and vegetables around the primary healthcare services in 2013 (n 272) and in 2018 (n 265). RESULTS: Fruit diversity increased by 13·4 % (P < 0·001) and vegetables variety and quality by 16·1 % (P = 0·003) and 12·5 % (P < 0·001), respectively. Corn snacks showed an increase in availability (13·5 %; P = 0·002). The increase in advertising was observed for fruits and vegetables (34·6 %; P < 0·001) and ultra-processed foods (47·6 %; P < 0·001). Supermarkets showed an increase in the Healthy Food Store Index (three points; P < 0·001), while fruits and vegetables stores showed a decrease of one point in the index (P < 0·001). CONCLUSIONS: The unequal changes in the consumers' food environment according to the food stores types demonstrate the importance of food supply policies that promote a healthy environment and favour the maintenance of traditional healthy food retailers.

Association of ultra-processed food intake with severe non-alcoholic fatty liver disease: a prospective study of 143073 UK Biobank participants.

BACKGROUND: Previous studies indicate a link between non-alcoholic fatty liver disease (NAFLD) and unhealthy dietary patterns or nutrient intake. However, it remains unclear whether ultra-processed foods (UPF) contribute to an increased risk of NAFLD. This study aimed to explore how ultra-processed food consumption correlates with severe NAFLD using the UK Biobank data. METHODS: This prospective cohort study included 143,073 participants from the UK Biobank. UPF consumption levels were determined using the NOVA classification and quantified from 24-h dietary recall data. The association between UPF consumption and severe NAFLD (hospitalization or death) was initially examined using Cox proportional hazards models with intake quartiles. Nonlinear associations were investigated using penalized cubic splines fitted in the Cox proportional hazards models. Adjustments were made for general characteristics, sociodemographic factors, body mass index (BMI), and lifestyle. RESULTS: Throughout the median follow-up period of 10.5 years, 1,445 participants developed severe NAFLD. The adjusted models indicated a significant increase in severe NAFLD risk in higher UPF intake groups compared to the lowest quartile (HR: 1.26 [95% CI: 1.11-1.43]). Subgroup analysis revealed that individuals with a BMI of 25 or higher were at greater risk in the highest quartile of UPF consumption. Sensitivity analyses yielded results consistent with these findings. CONCLUSION: Higher consumption of UPF is associated with an increased risk of severe NAFLD. Reducing the intake of UPF can be a potential approach to lower the risk of NAFLD.

Estimation of the caloric contribution of ultra-processed foods in Brazilian municipalities / Estimativa da participação calórica de alimentos ultraprocessados nos municípios brasileiros

Objetivo: Estimar a contribuição calórica dos alimentos ultraprocessados ​​(% UPP) nos 5.570 municípios brasileiros. Métodos: A estimativa do % UPP nos municípios foi realizada por meio de um modelo estatístico de predição com base em dados de 46.164 indivíduos com mais de 10 anos que participaram da Pesquisa de Orçamentos Familiares (POF 2017-2018). A regressão linear múltipla foi utilizada para estimar a média do % UPP (medida por meio de dois recordatórios alimentares de 24 horas) com base em variáveis ​​preditoras (sexo, idade, renda, escolaridade, raça/cor, urbanidade, unidades federativas e localização geográfica). A adequação do modelo foi avaliada por meio da análise de resíduos e pela comparação dos valores previstos com aqueles medidos diretamente na POF 2017-2018, utilizando o coeficiente de correlação de concordância de Lin (CCC). Os coeficientes lineares obtidos no modelo de regressão linear múltipla foram aplicados aos dados sociodemográficos do Censo 2010 (medidos de forma semelhante à POF) para estimar o % UPP para cada município. Resultados: O modelo estatístico mostrou-se adequado, apresentando resíduos normalmente distribuídos e um CCC de 0,84, indicando concordância quase perfeita. Houve heterogeneidade na distribuição das estimativas de % UPP, variando de 5,75% em Aroeiras do Itaim (PI) a 30,5% em Florianópolis (SC). As estimativas de % UPP foram maiores (>20%) em municípios da região Sul e do estado de São Paulo. As capitais apresentaram maiores estimativas de contribuição calórica de alimentos ultraprocessados ​​em comparação aos demais municípios de seus estados. Conclusões: O modelo preditivo revelou diferenças em % UPP entre os municípios brasileiros. As estimativas geradas podem contribuir para o monitoramento do consumo de alimentos ultraprocessados ​​em nível municipal e subsidiar o desenvolvimento de políticas públicas voltadas à promoção da alimentação saudável.

Objetivo : Estimar a participação calórica de alimentos ultraprocessados ​​(% AUP) em 5.570 municípios brasileiros. Métodos : A estimativa de % AUP nos municípios foi realizada a partir de um modelo estatístico de predição construído com base nos dados de 46.164 indivíduos com idades > 10 anos participantes da Pesquisa de Orçamentos Familiares (POF 2017-2018). A regressão linear múltipla foi usada para estimar a % média de AUP (medida por meio de dois registros alimentares de 24 horas) em função das variáveis ​​preditoras (sexo, idade, renda, escolaridade, raça/cor, urbanidade, unidades da federação e localização geográfica ). O modelo foi avaliado quanto a sua adequação por meio de análise de resíduos e pela comparação entre valores preditos pelo modelo e mensurados diretamente na POF 2017-2018 por meio do coeficiente de brilho-concordância de Lin (CCC). Os coeficientes lineares obtidos no modelo de regressão linear múltiplo foram aplicados aos dados sociodemográficos da amostra do Censo de 2010 (aferidos de forma semelhante à POF) para estimar o % de AUP de cada um dos municípios. Resultados : O modelo estatístico mostrado-se adequado, apresentando distribuição normal dos resíduos e um CCC de 0,84, proporção concordância quase perfeita. Foi observada uma heterogeneidade na distribuição das estimativas de % AUP, variando de 5,75% em Aroeiras do Itaim (PI) a 30,5% em Florianópolis (SC). As estimativas de % AUP foram mais altas ( > 20%) em municípios da região Sul e do estado de São Paulo. As capitais apresentam maiores estimativas de participação calórica de alimentos ultraprocessados ​​em relação aos demais municípios de seus estados. Conclusões : O modelo preditivo revelou diferenças de % AUP entre os municípios brasileiros. As estimativas geradas podem contribuir para o monitoramento do consumo alimentar de ultraprocessados ​​no nível municipal e fortalecer e subsidiar a criação de políticas públicas focadas na promoção da alimentação saudável.

Are vegetarians' diets inherently healthy? Ultra-processed food consumption is associated with overweight among vegetarians: the brazilian survey on the health, food, and nutrition of vegetarians.

This cross-sectional study investigated ultra-processed food (UPF) consumption and its association with overweight among Brazilian vegetarian adults (n = 925). Data were collected using a self-administered structured online questionnaire. The prevalence of overweight was 26.2% (95% confidence interval [CI] 23.3-29.1). The median UPF consumption was 1.8 times/day (1.0-3.1 interquartile range [IQR]). The multivariable generalised linear model identified an increase in overweight probability as the UPF intake - categorised into quintiles - increases (prevalence ratio [PR] 1.08 [95%CI 1.01-1.17]). Additionally, age (PR 1.03 [95%CI 1.02-1.04]), eating more than three meals/day away from home (PR 1.56 [95%CI 1.08-2.23]), duration of vegetarianism (PR 0.98 [95%CI 0.97-0.99]) and living in the wealthiest regions in the country (PR 1.35 [95%CI 1.06-1.71]) were associated with overweight. Although vegetarians have a lower average UPF intake and overweight prevalence than the general population, UPF exposure can still lead to excessive weight gain or maintenance. This study endorses generalising the Brazilian Dietary Guidelines for the vegetarian population.

Exploring oxylipins in processed foods: Understanding mechanisms, analytical perspectives, and enhancing quality with lipidomics.

Oxylipins are active lipid compounds formed through the oxidation of unsaturated fatty acids. These compounds have drawn considerable attention due to the potential impact on human health and processed food quality. Therefore, this study aimed to deepen current understanding and assess recent analytical advancements regarding the physiological roles of oxylipins in processed food products using lipidomics. The mechanisms behind oxylipins production in processed foods were extensively investigated, underscoring potential associations with chronic diseases. This indicates the need for innovative strategies to mitigate harmful oxylipins levels to enhance the safety and shelf life of processed food products. The results showed that mitigation methods, including the use of antioxidants and optimization of processing parameters, reduced oxylipins levels. The integration of lipidomics with food safety and quality control processes is evident in cutting-edge methods such as nuclear magnetic resonance and mass spectrometry for compliance and real-time evaluation. Aside from envisioning the future trajectory of food science and industry through prospective studies on oxylipins and processed foods, the results also provide the basis for future investigations, innovation, and advancements in the dynamic field of food science and technology.

The relationship between the food intake frequency, weight status and intelligence in school children.

This study aimed to explore the relationship between food intake frequency, weight status, and intelligence among school children. A cross-sectional study involved 562 children (aged 6.3-12.7 years) randomly selected from five elementary schools in Taichung City, Taiwan. Demographic information was collected, and the children's body weight and height were measured to calculate their body mass index. A food frequency questionnaire assessed the participating children's dietary habits. Intelligence quotient scores were evaluated using Raven's colored progress matrices for first and second graders, and Raven's standard progressive matrices for third to sixth graders. This study found that there was no significant relationship in intelligence quotient scores between gender, birth order groups, and weight status. The higher consumption of pork liver, hamburgers, fruit juices, and the Taiwanese snack "Science Noodles" was associated with lower intelligence quotient scores among school children.

Food processing according to the NOVA classification is not associated with glycemic index and glycemic load: results from an analysis of 1995 food items.

BACKGROUND: Ultraprocessed foods (UPFs) comprise most calories in the United States diet. Glycemic index (GI) and glycemic load (GL) are measures of the quality and quantity of carbohydrates in food based on their effect on postprandial blood glucose. Diets high in UPFs and GI/GL are associated with chronic metabolic diseases but the relationship between them is unclear. OBJECTIVES: Our objective was to examine the GI and GL of foods assigned to NOVA food processing groups. We hypothesized that GI and GL would be lowest in minimally processed foods (MPFs) compared to processed food (PRF) and UPF (with no difference between PRF and UPF). METHODS: GI and GL values produced by healthy individuals for 1995 food items were collated from published sources. Food items were manually coded by processing levels according to NOVA classification. In addition, as the effects of processing on glycemic potential may vary between types of foods, food items were coded into 8 groups (beans, nuts, and seeds; beverages; dairy; fats and sweets; fruit; grains; fish, meat, and poultry; and vegetables). Multilevel linear modeling was used to determine significance with an α value of 0.05. RESULTS: The effect of food processing on GI and GL was contrary to our hypothesis as means did not differ significantly across processing levels: GI-MPF: 54.1 ± 19.5, PRF: 53.2 ± 18.9, UPF: 49.3 ± 18.1 (P = 0.712); GL-MPF: 17.1 ± 10.3, PRF: 15.8 ± 12.4, UPF; 11.5 ± 7.9 (P = 0.890). Within food groups, there was no significant association between processing level and GI (P = 0.184), but GL was inversely associated with grains and vegetables (P < 0.001). CONCLUSIONS: Across analyzed foods, GI and GL do not differ between processing levels, whereas GL was lower in ultraprocessed grains and vegetables than MPF. Any potential adverse outcomes associated with UPF are unlikely to be related to effects on glycemia. This project was preregistered at the Open Science Framework (OSF) Registries through the Center for Open Science as 10.17605/OSF.IO/PJWG9.

Consumer Awareness, Perceptions and Avoidance of Ultra-Processed Foods: A Study of UK Adults in 2024.

BACKGROUND: Ultra-processed food (UPF) is currently not included in most countries' dietary guidance. However, there may be growing public interest and consumer avoidance of UPF due to media reporting of studies on the negative health outcomes associated with UPFs. METHODS: We surveyed 2386 UK adults (M age = 45 years, 50% female) during February-April 2024. Participants completed measures on awareness of the term UPF, whether the UPF status of foods affects their dietary decision-making, and confidence in identifying UPFs. Participants categorised a list of 10 foods (5 UPFs and 5 non-UPFs) as UPF vs. not, before rating whether information about studies linking UPF to worse health impacts on their negative affect and acts as a deterrent to consuming UPFs. RESULTS: Most participants (73%) were aware of the term UPF and 58% reported that their food choices are determined by whether they believe a food is ultra-processed or not. Participants with the highest income and education levels were most likely to report both being aware of, and, avoiding consuming UPFs. Most participants could not accurately categorise whether foods were UPFs. Some sociodemographic groups (e.g., higher education levels) were more likely to accurately categorise UPFs but were also more likely to incorrectly believe that non-UPFs were UPFs. Participants tended to report that UPF-health risk information increases negative affect and acts as a deterrent to consuming UPFs. CONCLUSIONS: In this study, a large number of UK adults reported avoiding consuming UPFs. This was particularly pronounced among those with the highest education and income levels.

Validity and Reliability of the Turkish Version of the Screening Questionnaire of Highly Processed Food Consumption (sQ-HPF).

The global consumption of highly (ultra) processed foods (HPFs) is increasing, and it is associated with non-communicable diseases. This study aimed to assess the validity and reliability of the Screening Questionnaire of Highly Processed Food Consumption (sQ-HPF). This study included 94 adults. Sociodemographic data were collected, and anthropometric and blood pressure measurements were performed. The sQ-HPF was translated into Turkish and culturally adapted. Dietary intake was assessed using three-day dietary records. Factor analysis and Cronbach's alpha were used to evaluate the validity and consistency of the sQ-HPF. Test-retest reliability was assessed with the intraclass correlation coefficient (ICC). Three items from the original sQ-HPF were excluded due to low factor loadings. The Kaiser-Meyer Olkin (KMO) coefficient for the measure of sample adequacy was found to be 0.642 and Bartlett's test of sphericity was found to be significant (p < 0.001). A significant correlation was found between the sQ-HPF score and HPF consumption derived from the 3-day dietary records (p < 0.05). Cronbach's alpha was found to be 0.65. Individuals with higher sQ-HPF scores consumed a significantly greater percentage of energy from HPFs (kcal/day) (p < 0.001). The sQ-HPF demonstrated good test-retest reliability (ICC = 0.76). The Turkish version of the sQ-HPF is a valid and reliable tool for assessing HPF consumption patterns and can be used in epidemiological and clinical studies.

Microplastics contamination in the most popular brands of Iranian sausages and evaluation of its human exposure.

Microplastics (MPs) pollution represents a nascent environmental contaminant that has recently infiltrated human life and the food chain. The primary objective of this study was to investigate the presence of MPs in different brands of Iranian sausages. Qualitative and quantitative analyses of MPs particles were conducted using stereo- and fluorescent microscopy, FT-IR (Fourier-transform infrared spectroscopy), and SEM-EDS (Scanning electron microscopy-energy dispersive X-ray spectroscopy) techniques. Samples were collected from the most commonly consumed sausage brands in Iranian markets. The findings showed that the various sausage brands contained an average abundance of 25.7 ± 21.68 (range 10-70) and 55.45 ± 45.5 (range 10-175) particles/kg based on optical and fluorescent microscopy analyses, respectively. Predominantly, MPs were identified in fiber form (77-89 %), with a smaller proportion present in fragmented form (11-23 %). Polymer analysis using FT-IR identified polyethylene (PE) and polystyrene (PS) as the primary constituents. Furthermore, the estimated annual intake (EAI) of MPs was calculated at 804 and 3517 particles/kg bw/year for adults and children, respectively, based on optical microscopy observations. In comparison, fluorescent microscopy indicated an intake of 1734 and 7589 particles/kg bw/year for the respective age groups. These results emphasize the potential of MPs contamination to penetrate into different food products including sausages through processing routes, which can threaten human health.

Association between ultra-processed food and osteoporosis: a cross-sectional study based on the NHANES database.

AIM: Nutritional characteristics and additives in ultra-processed foods (UPF) are directly related to bone health. Physical activity as a modifiable lifestyle intervention also plays a possible role in bone mineral density (BMD), but effect of physical activity on association between UPF and osteoporosis is not fully understood. Herein, this study aims to explore the association of UPF with osteoporosis, and assess the potential mediating effects of some related factors on this pathway. METHODS: Data of adults were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. Associations of unprocessed/minimally processed food (MPF), processed culinary ingredient (PCI), processed foods (PF) and UPF with femur neck BMD, total femur BMD and osteoporosis were investigated using linear regression and weighted univariate and multivariate logistic regression analyses respectively. Subgroup analyses of age, gender, physical activity, poverty income ratio (PIR), hypertension, diabetes mellitus (DM), cardiovascular disease (CVD), and dyslipidemia were performed. The potential mediating and interaction effects of physical activity and related factors on association of UPF with osteoporosis were also assessed. The evaluation indexes were ß, odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Among 10,678 eligible persons, 454 had osteoporosis. After adjusting for covariates, elevated UPF intake was associated with decreased demur neck and total femur BMD (ß=-0.003). A higher UPF intake level (> 57.51%) was linked to higher odds of osteoporosis (OR = 1.789). These relationships were also significant in different subgroups. Physical activity had a potential mediating effect on the association between UPF and osteoporosis (OR = 0.47, mediating proportion = 21.54%). CONCLUSION: UPF intake levels were associated with BMD and osteoporosis. Physical activity had an interaction effect with UPF, and had a potential mediating effect on relationship between UPF and osteoporosis.

Is there an "optimal" diet for prevention of inflammatory bowel disease?

Nutritional epidemiological studies have evolved from a focus of single nutrients to diet patterns to capture the protective role of healthy diets on chronic disease development. Similarly, in inflammatory bowel disease (IBD), a healthy diet may be protective against its development in individuals with genetic susceptibility, but the definitions of the optimal diet pattern deserve further exploration. Hence, this review article presents evidence, mainly from prospective cohort studies, for the role of diet quality based on adherence to dietary guidelines, traditional and modern diet patterns in the prevention of IBD. Findings from a limited number of studies on diet quality suggest that high diet quality scores are associated with lower risk of developing Crohn's disease, but the data are inconsistent for ulcerative colitis (UC). There are signals that a Mediterranean diet pattern reduces the risk of Crohn's disease but, again, the data are inconsistent and further studies are much needed. Finally, the evidence is conflicting regarding the role of food additives, with difficulties in the assessment of their intake, namely non-nutritive sweeteners and emulsifiers, precluding accurate assessment of a relationship with IBD risk. In contrast, emerging evidence for a role of ultra-processed food in the development of Crohn's disease but not UC is identified. Given the potential influence of diet quality, a Mediterranean diet and ultra-processed food intake on the risk of Crohn's disease, assessment and implementation of dietary advice for these patients need to be tailored. The search for an optimal diet for UC remains elusive and further research for increasing the evidence in the area is greatly needed.

The consumption of ultra-processed foods was associated with adiposity, but not with metabolic indicators in a prospective cohort study of Chilean preschool children.

BACKGROUND: Increasing consumption of ultra-processed foods (UPF) has been identified as a risk factor for obesity and various diseases, primarily in adults. Nonetheless, research in children is limited, especially regarding longitudinal studies with metabolic outcomes. We aimed to evaluate the longitudinal association between consumption of UPF, adiposity, and metabolic indicators in Chilean preschool children. METHODS: We conducted a prospective analysis of 962 children enrolled in the Food and Environment Chilean Cohort (FECHIC). Dietary data were collected in 2016 at age 4 years with 24-h recalls. All reported foods and beverages were classified according to the NOVA food classification, and the usual consumption of UPF in calories and grams was estimated using the Multiple Source Method. Adiposity (z-score of body mass index [BMI z-score], waist circumference [WC], and fat mass [in kg and percentage]) and metabolic indicators (fasting glucose, insulin, HOMA-IR, triglycerides, total cholesterol, and cholesterol fractions) were measured in 2018, at the age of 6 years. Linear regression models ((0) crude, (1) adjusted for covariables, and (2) adjusted for covariables plus total caloric intake) were used to evaluate the association between UPF and outcomes. All models included inverse probability weights to account for the loss to the follow-up. RESULTS: At 4 years, usual consumption of UPF represented 48% of the total calories and 39% of the total food and beverages grams. In models adjusted for covariables plus caloric intake, we found a positive association between UPF and BMI z-score (for 100 kcal and 100 g, respectively: b = 0.24 [95%CI 0.16-0.33]; b = 0.21 [95%CI 0.10-0.31]), WC in cm (b = 0.89 [95%CI 0.41-1.37]; b = 0.86 [95%CI 0.32-1.40]), log-fat mass in kg b = 0.06 [95%CI 0.03-0.09]; b = 0.04 [95%CI 0.01-0.07]), and log-percentage fat mass (b = 0.03 [95%CI 0.01-0.04]; b = 0.02 [95%CI 0.003-0.04]), but no association with metabolic indicators. CONCLUSIONS: In this sample of Chilean preschoolers, we observed that higher consumption of UPF was associated with adiposity indicators 2 years later, but not with metabolic outcomes. Longer follow-up might help clarify the natural history of UPF consumption and metabolic risks in children.

Implications of food ultra-processing on cardiovascular risk considering plant origin foods: an analysis of the UK Biobank cohort.

Background: Comprehensive research evidence is lacking on the role of ultra-processed foods (UPF) in the relationship between the consumption of plant-sourced foods and their impact on cardiovascular disease (CVD) outcomes. This study aims to assess CVD risk associated with the dietary contribution of food groups that consider both plant or animal origin and food processing categories, within a large cohort of British adults. Methods: Data from the UK Biobank participants (40-69 y) who completed at least two 24-h dietary recalls between 2009 and 2012 (n = 126,842; median follow-up: 9 y), with subsequent data linkage to hospital and mortality records, were used. Food groups were classified as either plant-sourced or non-plant/animal-sourced foods. These groups were further divided into non-UPF and UPF, and expressed as a percentage of total energy intake. Findings: Every 10 percentage points increase in plant-sourced non-UPF consumption was associated with a 7% lower risk of CVD (95% CI 0.91-0.95) and a 13% lower risk of CVD mortality (0.80-0.94). Conversely, plant-sourced UPF consumption was associated with a 5% increased risk (1.03-1.07) and a 12% higher mortality (1.05-1.20). The contribution of all UPF was linked to higher CVD risk and mortality, and no evidence for an association between contribution of all plant-sourced foods and CVD incidence and mortality was observed. Interpretation: The dietary contribution of plant-sourced non-UPF inversely linked to CVD risk, while plant-sourced UPF contribution showed a positive association. Recognizing the role of food processing is crucial for favourable CVD outcomes, even in plant-sourced diets. Funding: World Cancer Research Fund.

Development of a rapid and reliable method to simultaneously detect seven food allergens in processed foods using LC-MS/MS.

Rapid analysis of multiple food allergens is required to confirm the appropriateness of food allergen labelling in processed foods. This study aimed to develop a rapid and reliable method to simultaneously detect trace amounts of seven food allergenic proteins (wheat, buckwheat, milk, egg, crustacean, peanut, and walnut) in processed foods using LC-MS/MS. Suspension-trapping (S-Trap) columns and on-line automated solid-phase extraction were used to improve the complex and time-consuming pretreatment process previously required for allergen analysis using LC-MS/MS. The developed method enabled the simultaneous detection of selected marker peptides for specific proteins derived from seven food ingredients in five types of incurred samples amended with trace amounts of allergenic proteins. The limit of detection values of the method for each protein were estimated to be <1 mg/kg. The developed analytical approach is considered an effective screening method for confirming food allergen labelling on a wide range of processed foods.

Epithelial barrier theory in the context of nutrition and environmental exposure in athletes.

Exposure to toxic substances, introduced into our daily lives during industrialization and modernization, can disrupt the epithelial barriers in the skin, respiratory, and gastrointestinal systems, leading to microbial dysbiosis and inflammation. Athletes and physically active individuals are at increased risk of exposure to agents that damage the epithelial barriers and microbiome, and their extreme physical exercise exerts stress on many organs, resulting in tissue damage and inflammation. Epithelial barrier-damaging substances include surfactants and enzymes in cleaning products, laundry and dishwasher detergents, chlorine in swimming pools, microplastics, air pollutants such as ozone, particulate matter, and diesel exhaust. Athletes' high-calorie diet often relies on processed foods that may contain food emulsifiers and other additives that may cause epithelial barrier dysfunction and microbial dysbiosis. The type of the material used in the sport equipment and clothing and their extensive exposure may increase the inflammatory effects. Excessive travel-related stress, sleep disturbances and different food and microbe exposure may represent additional factors. Here, we review the detrimental impact of toxic agents on epithelial barriers and microbiome; bring a new perspective on the factors affecting the health and performance of athletes and physically active individuals.