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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.

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Aromatic amino acid oxidation products (AAAOPs) are newly discovered risk substances of thermal processes. Due to its significant polarity and trace level in food matrices, there are no efficient pre-treatment methods available to enrich AAAOPs. Herein, we proposed a magnetic cationic covalent organic framework (Fe3O4@EB-iCOF) as an adsorbent for dispersive magnetic solid-phase extraction (DMSPE). Benefiting from the unique charged characteristics of Fe3O4@EB-iCOF, AAAOPs can be enriched through electrostatic interaction and π-π interactions. Under the optimal DMSPE conditions, the combined HPLC-MS/MS method demonstrated good linearity (R2 ≥ 0.990) and a low detection limit (0.11-7.5 µg·kg-1) for AAAOPs. In addition, the method was applied to real sample and obtained satisfactory recoveries (86.8 % âˆ¼ 109.9 %). Especially, we applied this method to the detection of AAAOPs in meat samples and conducted a preliminarily study on its formation rules, which provides a reliable basis for assessing potential dietary risks.

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Introduction: Since its origin in the 1920s, electroencephalography (EEG) has become a viable option for anesthesia and perfusion teams to monitor anesthetic delivery, optimizing drug dosage and enhancing patient safety. Patients undergoing cardiopulmonary bypass (CPB) are at particular high risk for excessive or inadequate anesthetic doses. During CPB, traditional physiological indicators such as heart rate and blood pressure can be significantly altered. These abnormalities are compounded by rapid changes in anesthetic concentration from hemodilution, circuit absorption, and altered pharmacokinetics. Method: This narrative highlights the use of processed EEG with spectral analysis for anesthetic management during CPB. Conclusion: We emphasize that neuromonitoring using processed EEG during CPB can assess adequacy of anesthesia delivery and monitor for pathologic conditions that can compromise brain function such as inadequate cerebral blood flow, emboli, and seizures. This information is highly valuable for the clinical team including the perfusionist, who regularly diagnose and manage these pathological conditions.

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BACKGROUND & AIMS: Ultra-processed foods (UPF) consumption has been associated with unhealthy outcomes. However, the literature lacks robust longitudinal studies considering its cumulative effect, particularly in young populations. This study aimed to evaluate the relationship between UPF consumption patterns throughout childhood with growth and adiposity trajectories. METHODS: Generation XXI population-based birth cohort (Porto, Portugal) participants were included. Food frequency questionnaire items at 4, 7 and 10 years were classified according to the processing degree using NOVA. UPF consumption patterns based on total quantity were identified using a probabilistic Gaussian mixture model using participants with complete data and predicting for the total sample (n = 8647). To assess whether the outcome trajectories from 4 to 13 years [body weight (kg), height (cm), body mass index (BMI) z-score, waist circumference (WC) (cm) and fat mass (FM) (%)] depend on UPF patterns, a mixed-effects model with linear and quadratic terms for age adjusted for confounders was used. Participants with at least 2 measurements at 4, 7, 10 or 13 years were included in this study (n range: 5885-6272). RESULTS: Four UPF consumption patterns were identified: constantly lower consumption (15.4%), constantly intermediate consumption (56.4%), transition from low to high consumption (11.2%), and constantly higher consumption (17.1%). Compared to the constantly lower UPF consumption, the constantly higher consumption pattern was associated with greater acceleration in body weight (ß: 0.119; 95%CI: 0.027; 0.212), BMI z-score (ß: 0.014; 95%CI: 0.004; 0.023), WC (ß: 0.232; 95%CI: 0.144; 0.319) and FM% (ß: 0.200; 95%CI: 0.092; 0.308) and with lower acceleration in height (ß: -0.063; 95%CI: -0.111;-0.015). The constantly intermediate UPF consumption pattern was associated with greater acceleration in body weight (ß: 0.123; 95%CI: 0.043; 0.203), WC (ß: 0.120; 95%CI: 0.045; 0.195) and FM% (ß: 0.146; 95%CI: 0.054; 0.238). CONCLUSION: Constantly higher and constantly intermediate UPF consumption throughout childhood were associated with worse growth and adiposity trajectories until adolescence.

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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.

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BACKGROUND & AIMS: Several studies have shown positive associations between ultra-processed foods and drinks and cancer risk. However, evidence remains limited for liver cancer. We aimed to evaluate the associations between ultra-processed foods and drinks and liver cancer risk. METHODS: We included 73,119 participants (22,431 Whites, 47,837 Blacks, 2851 other race) from the Southern Community Cohort Study. Ultra-processed products were defined based on the Nova classification using data from a validated food frequency questionnaire and calculated as percentage of daily foods by weight. Incident liver cancer and vital status were ascertained via linkages to state cancer registries and the National Death Index as of December 31, 2019. RESULTS: With a median of 13.9 year's follow-up, we documented 453 incident liver cancer cases. Participants with higher intake of ultra-processed foods had an elevated risk of liver cancer (hazard ratios [HR] Tertile 3 vs. tertile 1 1.69, 95% confidence intervals [CI]: 1.28-2.22; Ptrend<0.001). The subclasses of ultra-processed foods, such as ultra-processed grains and fried potatoes (HR T3 vs. T1 1.29, 95% CI: 1.01-1.65; Ptrend = 0.03), processed protein foods (HR T3 vs. T1 1.49, 95% CI: 1.14-1.94; Ptrend = 0.007) and mixed dishes (HR T3 vs. T1 1.39, 95% CI: 1.09-1.77; Ptrend = 0.01), were positively associated with liver cancer risk. No significant association was found for ultra-processed drinks (HR T3 vs. T1 0.85, 95% CI: 0.67-1.07; Ptrend = 0.16). DISCUSSION: In a prospective cohort with predominantly low-income Southern US adults, we found certain ultra-processed foods were associated with a higher risk of liver cancer. Further studies are needed to confirm our findings.

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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.

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Introduction: The consumption of ultra-processed products has been associated with the etiology of various diseases, mainly metabolic diseases. On the other hand, physical activity acts as a protective factor that helps prevent the appearance of this type of disease. In addition to the physical effects, both the consumption of ultra-processed products (UPPs) and sedentary behaviors have been associated with a significant impact on people's mental health. These problems occur significantly in university students. Online internet interventions are an alternative that has the advantage of reaching a broader sample size and adapting to various problems. Methods: A randomized controlled clinical superiority trial with two independent groups will be developed with 176 participants. Participants in both groups will be evaluated in 5 steps: (1) pretest, (2) middle of the intervention, (3) post-test, (4) follow-up at 3 months, and (5) follow-up at 6 months. In the experimental group ("UNISALUD"), participants will receive an intervention composed of 11 sessions with interactive elements such as videos, audio, and infographics created through the user experience (UX) principles and based on the health action process approach (HAPA). The participants in the control group will be on the waiting list and will receive treatment 27 days after fulfilling the inclusion criteria. Thus, participants will not receive the treatment immediately. Discussion: The study is expected to establish the feasibility of a self-help internet-based intervention created based on the user experience methodology and the health action process model, leading to a significant decrease and increase in the consumption of UPPs, ultra-healthy products, and physical activity, respectively. Conclusion: Internet-based interventions are scarce in Latin America. Due to their potential, this study will provide data about consumption of UPPs, physical activity, and mental health of the Mexican population, which will influence the reduction of health-related complications through prevention strategies or measures.Clinical Trial Registration:ClinicalTrials.gov, NCT05834842.

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INTRODUCTION: Insight into comparing key active ingredients of Radix Bupleuri (RB) based on different processing technologies is a key step to reveal the material basis of drug efficacy and a challenging task for developing traditional Chinese medicine (TCM). OBJECTIVE: This work aims to establish a comprehensive comparative analysis method of TCM and its processed products, which can be used to analyze the changing trend of active components of RB before and after processing. METHODS: First, RB was processed with rice vinegar, rice wine, and honey. Then, ultra-high-performance liquid chromatography (UHPLC) and gas chromatography (GC) coupled with mass spectrometry (MS) technology as well as multiple statistical analyses were used to comprehensively evaluate the compositional variation of polar and volatile compounds in RB under different processing processes. Meanwhile, in UHPLC-MS, a sequential window acquisition of all theoretical fragment ion spectral and information-dependent acquisition mutual authentication (SIMA) was developed. RESULTS: A total of 30 polar components and 33 volatile components were identified as chemical markers (mainly type II saikosaponins, terpenes, and fatty acid esters). These may be the material basis for giving unique pharmacological activities to RB and its processed products. CONCLUSIONS: These findings provided a solid foundation for the differentiated clinical application of RB, and the SIMA method held great potential for achieving accurate analysis of TCM processing ingredients.

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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.

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BACKGROUND: There is a need to understand the underlying biological mechanisms through which ultra-processed foods negatively affect health. Proteomics offers a valuable tool with which to examine different aspects of ultra-processed foods and their impact on health. OBJECTIVE: To identify protein biomarkers of usual ultra-processed food consumption, and assess their relation to incidence of coronary heart disease, chronic kidney disease, and all-cause mortality risk. METHODS: A total of 9,361 participants from the Atherosclerosis Risk in Communities (ARIC) visit 3 (1993-1995) were included. Dietary intake was assessed using a 66-item food frequency questionnaire and the processing levels were categorized based on Nova classification. Plasma proteins were detected using an aptamer-based proteomic assay. We used multivariable linear regressions to examine the association between ultra-processed food and proteins, and Cox proportional hazard models to identify associations between ultra-processed food-related proteins and health outcomes. Models extensively controlled for sociodemographic characteristics, health behaviors, and clinical factors. RESULTS: Identified were eight proteins (6 positive, 2 negative) significantly associated with ultra-processed food consumption. Over a median follow-up of 22 years, there were 1,276, 3,084, and 5,127 cases of coronary heart disease, chronic kidney disease, and death, respectively. Three, five, and three ultra-processed food-related proteins were associated with each outcome, respectively. One protein (ß-glucuronidase) was significantly associated with higher risk of all three outcomes, and three proteins (receptor-type tyrosine-protein phosphatase U, C-C motif chemokine 25, and twisted gastrulation protein homolog 1) were associated with higher risk of two outcomes. CONCLUSIONS: We identified a panel of protein biomarkers that were significantly associated with ultra-processed food consumption. These proteins may be considered potential biomarkers for ultra-processed food intake and elucidate the biological processes through which ultra-processed foods impact health outcomes.

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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.

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The exploration of synaptic plasticity in metal-oxide-based ferroelectric thin-film transistors has been limited. As a perovskite ferroelectric material, LiNbO3 is widely studied; but its potential use as a neuromorphic device, like synaptic transistors, has not been realized. In this study, a solution-processed ferroelectric thin-film transistor (FeTFT) with an alternating layer of LiNbO3 and Li5AlO4 as a gate dielectric has been fabricated. This configuration reduces the depolarization field by leveraging the large ionic polarization of Li+ ions in the Li5AlO4 layer, while the wide bandgap helps mitigate the leakage current. FeTFT exhibits impressive transistor performance, including a saturation mobility of 0.478 cm2V-1 s-1, an on/off ratio of 3.08 × 103, and a low trap-state density of 1.3 × 1013 cm-2. Moreover, the device demonstrates good memory retention, retaining information for nearly 1 day. It successfully emulates synaptic plasticity, specifically short-term plasticity and long-term plasticity. Besides, a 94% training accuracy has been achieved through artificial neural network simulation. Notably, the FeTFT consumes minimal power, with energy consumption of approximately 3.09 nJ per synaptic event, which is remarkably low compared to other reported solution-processed FeTFT devices.

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BACKGROUND: The use of corporate power to undermine public health policy processes is increasingly well understood; however, relatively little scholarship examines how advocates can leverage power to promote the successful adoption of public health policies. The objective of this paper is to explore how advocates leveraged three forms of power - structural, instrumental and discursive - to promote the passage of the Promotion of Healthy Eating Law (Ley 27,642) in Argentina, one of the most comprehensive policies to introduce mandatory front-of-package (FOP) warning labels and regulate the marketing and sales of ultra-processed foods (UPFs) adopted to date. METHODS: We conducted seventeen semi-structured interviews with advocates from different sectors, including civil society, international agencies, and government. Both data collection and analysis were guided by Milsom's conceptual framework for analyzing power in public health policymaking, and the data was analyzed using hybrid deductive and inductive thematic analysis. RESULTS: Advocates harnessed structural power through the leveraging of revolving doors, informal alliances, and formal coalitions, enabling them to convene discussion spaces with decision-makers, make strategic use of limited resources, and cultivate the diverse expertise (e.g., research, nutrition science, advocacy, law, political science, activism and communications) needed to support the law through different phases of the policy process. Advocates wielded instrumental power by amassing an armada of localized evidence to promote robust policy design, building technical literacy amongst themselves and decision-makers, and exposing conflicts of interest to harness public pressure. Advocates exercised discursive power by adopting a rights-based discourse, including of children and adolescents and of consumers to transparent information, which enabled advocates to foster a favorable perception of the law amongst both decision-makers and the public. Key contextual enablers include a political window of opportunity, the COVID-19 pandemic, and the ability to learn from the regional precedent of similar policies. CONCLUSIONS: Public health policymaking, particularly when encroaching upon corporate interests, is characterized by stark imbalances of power that hinder policy decisions. The strategies identified in the case of Argentina provide important insights as to how advocates might harness and exercise structural, instrumental, and discursive power to counter corporate influence and promote the successful adoption of comprehensive UPF regulation.

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To identify chemical-markers from hot-pressed, cold-pressed, organic-solvent, aqueous-enzymatic and water extracted camellia oils (HPO, CPO, OSO, AEO, WEO). We report a full composition-wide association study based on GC-MS, LC-MS and 1HNMR. Squalene, ß-amyrin and lupeol were potential-markers in distinguishing different oils through GC-MS. Naringenin, FA 18:1 + 10, undecanedioic acid and tridecanedioic acid exhibited were up-regulated in HPO. 16-Hydroxyhexadecanoic acid, octadecanoic acid and 9-hydroxyoctadecadienoic acid were potential-metabolites in CPO. Characteristic-markers in WEO were hydroquinidine and undecanedioic acid. Gallic acid, hydroquinidine, lichesterylic acid and 7,4'-dihydroxyflavone were biomarkers in AEO. Oleic acid, linoleic acid and triacylglycerols may be potential key markers to distinguish AEO from others via 1HNMR. Finally, Naringenin, gallic acid, kaempferol, 7,4'-dihydroxyflavone, (Z)-5,8,11-trihydroxyoctadec-9-enoic acid and ß-amyrin were screened and validate through integration of nonglyceride minor components and trace metabolites. Results provided understanding of chemical diversity for different processed-camellia oils, and proposed a complementary strategy to distinguish different camellia oils for multidimensional perspective.

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There has been a sea of change in our understanding of the contribution of food to both our well-being and disease states. When one addresses "food as medicine," the concept of oxidative stress needs to be included. This review interconnects the basic science findings of oxidative stress and redox balance with the medicinal use of food, emphasizing optimization of the redox balance. To better illustrate the impacts of oxidative stress, the concept of the "triple oxidant sink" is introduced as a theoretical gauge of redox balance. Utilizing the concept, the true importance of dietary and lifestyle factors can be emphasized, including the limitations of supplements or a handful of "superfoods," if the remainder of the factors are pro-oxidant. The effects of a whole plant food diet compared with those of dietary supplements, processed foods, animal based nutrients, or additional lifestyle factors can be visually demonstrated with this concept. This paper provides an overview of the process, acknowledging that food is not the only mechanism for balancing the redox status, but one that can be strategically used to dramatically improve the oxidative state, and thus should be used as medicine.

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BACKGROUND: The consumption of ultra-processed foods (UPF) is increasing in many countries. Simultaneously, there is a growing number of consumers that follow a vegetarian or vegan diet, many due to its possible positive impact on sustainability and food waste. However, little is known about attitudes towards and experiences with UPF among vegetarians and vegans. Thus, this study investigates vegetarians' and vegans' experiences with and attitudes towards UPFs. METHODS: We conducted semi-structured, individual interviews with 14 participants between September and December 2021. The participants were from different areas in Norway. The data were analysed using a thematic analysis by Braun and Clarke. RESULTS: In general, participants appeared to have diverse knowledge of and divergent attitudes towards UPFs. However, participants mainly associated substitute products (e.g. meat substitutes, dairy substitutes) as UPFs. They appreciated the increased availability of vegetarian and vegan UPF which made it easier for them to follow a plant-based diet. They enjoyed the taste and consistency of vegetarian and vegan UPF. However, participants expressed concerns about the effects that industrial processing has on the products' nutritional content. CONCLUSION: This study indicated that there was a diverse knowledge of and various attitudes towards UPFs among the participating vegetarians and vegans. Public information and guidelines about using UPF (e.g. meat substitutes, dairy substitutes) in vegetarian and vegan diets are needed, as well as information about their possible impact on health and sustainability.

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BACKGROUND: Despite substantial evidence regarding independent associations between physical activity (PA) and ultra-processed foods (UPF) consumption with depression, the joint effects of these two factors remain unknown. METHODS: This study included 99,126 participants without depression in the UK Biobank at baseline. A 24-h recall method was used to assess UPF consumption, and self-reported total physical activity (TPA), moderate-to-vigorous physical activity (MVPA), and vigorous physical activity (VPA) were assessed by metabolic equivalent task (MET). A series of Cox proportional hazard regression models were used to explore the independent and joint effects of TPA, MVPA, VPA and UPF consumption on depression. RESULTS: The incidence rate of depression was 1.94 % [95 % confidence interval (CI): 1.80 %-2.10 %] per 1000 person-years after an average follow-up of 12.10 years. We found that MVPA and UPF consumption had additive interactions on depression risk (p < 0.05). Participants in Q1 of TPA and Q4 of UPF consumption (HR: 1.83, 95%CI: 1.45-2.31) showed a higher risk for depression than those in Q4 of TPA and Q1 of UPF consumption. Compared with the participants with WHO guideline-recommended MVPA and the lowest UPF consumption, those below recommended MVPA (HR: 1.51, 95%CI: 1.20-1.89) or above recommended MVPA (HR: 1.40, 95%CI: 1.10-1.78) and with the highest UPF consumption had a higher risk for depression. LIMITATIONS: Study limitations include use of self-reported data, observational study and concerns regarding generalizability. CONCLUSION: Higher UPF consumption, accompanied by lower PA levels regardless of TPA, MVPA, and VPA, is associated with a higher risk of depression. Our study offers insights on public health priorities to decrease the risk of depression in the population by addressing both PA and UPF consumption together.