This study investigated the association between screen time and ultra-processed food (UPF) consumption across the lifespan, using data from the 2019 Brazilian National Health Survey, a cross-sectional and population-based study. A score was used to evaluate UPF consumption, calculated by summing the positive answers to questions about the consumption of ten UPF subgroups on the previous day. Scores ≥5 represented high UPF consumption. Daily time spent engaging with television or other screens was self-reported. Crude and adjusted models were obtained through Poisson regression and results were expressed in prevalence ratios by age group. The sample included 2315 adolescents, 65 803 adults and 22 728 older adults. The prevalence of UPF scores ≥5 was higher according to increased screen time, with dose–response across all age groups and types of screen time. Adolescents, adults and older adults watching television for ≥6 h/d presented prevalence of UPF scores ≥5 1·8 (95 % CI 1·2, 2·9), 1·9 (95 % CI 1·6, 2·3) and 2·2 (95 % CI 1·4, 3·6) times higher, respectively, compared with those who did not watch television. For other screens, the prevalence of UPF scores ≥5 was 2·4 (95 % CI 1·3, 4·1) and 1·6 (95 % CI 1·4, 1·9) times higher for adolescents and adults using screens for ≥ 6 h/d, respectively, while for older adults, only screen times of 2 to < 3 and 3 to < 6 h were significantly associated with UPF scores ≥5. Screen time was associated with high consumption of UPF in all age groups. Considering these associations when planning and implementing interventions would be beneficial for public health across the lifespan.

Environmental impacts of food systems have stimulated research to examine how to create healthy diets that will be more sustainable while meeting nutrient requirements. Increasing compliance with existing food-based dietary guidelines in most jurisdictions could be a first step to improve health and reduce environmental impact. MyPlanetDiet was an all-Ireland 12-week randomised controlled trial designed to inform sustainable healthy dietary guidelines. Healthy adults (n 355) aged 18–64 years with moderate-to-high greenhouse gas emitting (GHGE) diets were recruited from three study sites on the island of Ireland. The aim of this research is to assess the relationship between dietary intakes, diet-related environmental impacts and metabolic health using baseline data collected during the MyPlanetDiet study. Dietary assessments collected using Foodbook24 were used to calculate diet-related GHGE, adherence to healthy eating guidelines (HEG) and healthy eating index (HEI) score. Anthropometrics and metabolic health markers (e.g. lipids, glucose and insulin) were included. Overall HEG adherence was low, with 43 % meeting zero or one HEG food group recommendations. Adherence to 4 + HEG food group targets was associated with 31 % lower diet-related GHGE compared with those with lowest adherence. Higher HEG adherence was associated with lower BMI and waist circumference and higher HEI scores. While our findings suggest HEG adherence is associated with positive health and environmental impacts, substantial behaviour change will be needed to meet existing HEG. Further research is needed to assess response and acceptability to HEG. However, adherence to HEG may be an important first step to reducing the environmental impact of food consumption.

Oxidative stress is present in chronic obstructive pulmonary disease (COPD); however, the effect of increased dietary antioxidants on reducing COPD risk remains unclear. The aim of this study was to investigate the association of the composite dietary antioxidant index (CDAI) with COPD in adults. This study conducted a cross-sectional investigation using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2015 to March 2020 to explore the association between CDAI and COPD in adults. This study included 9295 participants. Three logistic regression models (crude model, partially adjusted model and fully adjusted model) and restricted cubic spline (RCS) curves were utilised to assess the association between CDAI levels and COPD risk. Subsequently, a two-sample Mendelian randomisation (MR) was employed to analyse the causal impact of antioxidant levels within CDAI on the occurrence of COPD. CDAI levels were inversely associated with COPD after adjusting for confounders (OR = 0·97, 95 % CI 0·95, 1·00), and the association was linear (P < 0·001), and the results of the RCS showed that CDAI was linearly correlated with COPD occurrence (P < 0·001). MR analysis revealed a causal relationship between vitamin C and COPD occurrence (OR = 0·99, 95 % CI 0·98, 1·00, P < 0·05). Our study indicates that dietary sources of antioxidants may reduce the risk of COPD occurrence, and the results of the MR analysis further show that vitamin C is causally associated with a reduced risk of COPD occurrence. However, further exploration is needed to understand how antioxidants prevent COPD.

Current literature has shown that poor sleep patterns and social jet lag (SJL) are associated with obesity and weight gain. However, this area remains underexplored in patients who have undergone bariatric surgery. We hypothesised that higher levels of SJL and poorer sleep patterns are associated with lower weight loss, greater caloric/nutrient intake and poorer metabolic outcomes following surgery. This study aims to assess the associations of SJL and subjective sleep with anthropometric, metabolic and dietary parameters during the first year following bariatric surgery. SJL, sleep quality and daytime sleepiness were measured in 122 patients (77 % women; median age 33·0 [28·0 – 41·7]). SJL was estimated by the absolute difference between the midpoint of sleep and wake times on weekdays and weekends. Daytime sleepiness and sleep quality were evaluated using the Epworth Sleepiness Scale (Epworth) and the Pittsburgh Sleep Quality Index, respectively. Multiple linear regressions were employed to evaluate the associations of SJL, sleep quality and daytime sleepiness with weight loss, metabolic and dietary outcomes. Independent variables were negatively associated with weight loss after surgery: SJL at 6 months and 1 year; sleep quality at all time points and sleepiness after one year (P < 0·05). SJL was positively associated with calorie and protein intake after 1-year post-surgery (P < 0·05). Our results show that higher SJL and poorer sleep patterns are associated with worse anthropometric, metabolic and dietary outcomes after bariatric surgery. These findings reinforce the importance of addressing variables related to biological rhythms to optimise post-surgical outcomes in bariatric patients.

This study aimed to explore combinations of the Brazilian front-of-package nutrition labelling (FoPNL) (high in added sugar, saturated fat or sodium) and/or three specific food additives with cosmetic functions (colourings, flavourings and non-sugar sweeteners) in packaged foods and beverages marketed in Brazil. This approach intends to strengthen the identification of ultra-processed food products (UPFP) by consumers through the information available on their labels. A cross-sectional study was carried out using data from the list of ingredients and the nutrition facts panel on labels of processed foods and UPFP available in Brazilian supermarkets between April and July 2017, totalling 8436 food items assessed, of which 84·0 % were UPFP. Of the total, 62·7 % of the UPFP would have the FoPNL and 65·1 %, 37·9 % and 12·9 % had flavouring, colouring and non-sugar sweeteners, respectively. Combining criteria for the FoPNL with any one of the three cosmetic additives analysed, 45·9 % of the UPFP were identified, and when considering the presence of the FoPNL, flavouring, colouring or non-sugar sweeteners, the identification increased to 89·9 %. Results showed that the current FoPNL in Brazil does not facilitate the identification of UPFP. In this sense, labels that indicate the presence of food additives with cosmetic functions (which are UPFP markers) could be a public health strategy to reduce the consumption of UPFP. Currently, food labelling regulations in Brazil are not aligned with Brazilian Dietary Guidelines recommendations.

One of the most significant challenges in research related to nutritional epidemiology is the achievement of high accuracy and validity of dietary data to establish an adequate link between dietary exposure and health outcomes. Recently, the emergence of artificial intelligence (AI) in various fields has filled this gap with advanced statistical models and techniques for nutrient and food analysis. We aimed to systematically review available evidence regarding the validity and accuracy of AI-based dietary intake assessment methods (AI-DIA). In accordance with PRISMA guidelines, an exhaustive search of the EMBASE, PubMed, Scopus and Web of Science databases was conducted to identify relevant publications from their inception to 1 December 2024. Thirteen studies that met the inclusion criteria were included in this analysis. Of the studies identified, 61·5 % were conducted in preclinical settings. Likewise, 46·2 % used AI techniques based on deep learning and 15·3 % on machine learning. Correlation coefficients of over 0·7 were reported in six articles concerning the estimation of calories between the AI and traditional assessment methods. Similarly, six studies obtained a correlation above 0·7 for macronutrients. In the case of micronutrients, four studies achieved the correlation mentioned above. A moderate risk of bias was observed in 61·5 % (n 8) of the articles analysed, with confounding bias being the most frequently observed. AI-DIA methods are promising, reliable and valid alternatives for nutrient and food estimations. However, more research comparing different populations is needed, as well as larger sample sizes, to ensure the validity of the experimental designs.

Rheumatoid arthritis (RA) is characterised by chronic inflammation in joints. Obesity, stress, being women and dietary pattern are important in pathogenesis. The joint damage in RA is accelerated by oxidative stress. The aim of this study was to examine the serum total antioxidant level, nutritional status and Mediterranean diet adherence of adult women with RA. Thirty-five adult women RA patients and thirty-five healthy control participated in this study (45·4 ± 11·61 and 42·5 ± 8·50 years, respectively). Nutritional status, physical activity levels and adherence to the Mediterranean diet were questioned. Physicians assessed the disease activity score of patients with RA. Serum total antioxidant and oxidant status were analysed. The serum total antioxidant status of the control group was higher, whereas the oxidative stress index and total oxidant status were lower than that of the RA group. Dietary protein, fibre, EPA, retinol, Fe, Zn and total antioxidant intake in the RA group were lower than in the control group (P < 0·05). Individuals with higher fibre intake showed a significantly lower risk for RA after adjusting for potential confounding factors (OR = 0·845, 95 % CI = 0·773–0·923, P < 0·001). The mean physical activity level of the control group was higher than that of the RA group (1·59 ± 0·10 and 1·53 ± 0·13, respectively) (P = 0·01). In conclusion, serum antioxidant parameters and dietary antioxidant intake are decreased in patients with RA. Therefore, medical treatment for these patients should be supplemented with medical nutrition therapy to achieve optimal nutritional status.

Children and adolescents diagnosed with autism spectrum disorder (ASD) present feeding problems that may influence food acceptance and refusal. However, data regarding dietary intake variability in this population are either not available in the literature or not well-known. This cross-sectional study aimed to identify the within-person and between-person variability, and the number of days needed for a 24-hour recall (24HR) to estimate the usual intake of children and adolescents with ASD. Data were collected from 284 patients assisted at a public neuropediatric health service in the city of Pelotas, Southern Brazil. Food consumption was assessed using three non-consecutive 24HR. Within-person (S2w) and between-person (S2b) variances, the variance ratio (VR) and the distribution of energy, macronutrients and micronutrients were obtained using the Multiple Source Method® (version 1.0.1). The number of days of 24HR needed was calculated for correlation coefficients of 0·7, 0·8 and 0·9. For most nutrients, S2w was greater than S2b, resulting in VR > 1, except for age-group analyses where children up to 5 years old showed VR < 1. Two to three days of 24HR were estimated for most nutrients, considering a correlation coefficient of 0·8. Differences were observed according to sex and age group, with adolescents requiring more days of 24HR. These findings indicate the need to assess dietary variability among individuals with ASD according to the characteristics of this investigated population.

There is a lack of information from Middle Eastern countries regarding diet–disease associations. We examined dietary glycaemic and insulinemic potential in relation to risk of incident diabetes among a large group of Iranian adults. The present study was carried out using data from Yazd Health Study-Taghzieh Mardom Yazd, a prospective cohort study on adults aged 20–70 years in Yazd Greater Area, Iran. This study was initiated in 2014–2016 (baseline examination), and data are collected prospectively at one 5-year intervals. Data on demographic characteristics, dietary intakes and potential confounders were gathered by interview. During the follow-up phase of the study, diabetes incidence was confirmed by laboratory tests and physician diagnoses. This study included a total of 6178 participants in the cross-sectional analysis and 5105 subjects in the prospective phase. Examining the cross-sectional phase, we failed to find any significant association between dietary glycaemic index (GI) and glycaemic load (GL) as well as dietary insulin index (DII) or dietary insulin load (DIL) and prevalence of diabetes. No significant relationship was also seen between DII/DIL and risk of T2DM in the prospective phase; however, in the stratified analysis by BMI status, there was an inverse significant association between DII and risk of type 2 diabetes mellitus (hazard ratio for T3 v. T1: 0·19; 95 % CI: 0·04, 0·92; P = 0·03) in non-obese (BMI ≥ 25 kg/m2) and overweight (BMI < 25 kg/m2) participants. No significant association was found between dietary GI/ dietary GL/ DII/ or DIL with risk of T2DM. More research, particularly with a longer follow-up duration, is needed to confirm these findings.

Increased ultra-processed food (UPF) is associated with adverse health outcomes. However, with limitations in UPF evidence, and partial overlap between UK front-of-package labelling (FOPL) and degree of food processing, the value of food processing within dietary guidance is unclear. This study compared food and drink from the UK National Diet and Nutrition Survey (NDNS) database based on micronutrient content, Nova classification and FOPL. The aim was to examine the micronutrient contributions of UK food and drink to UK government dietary micronutrient recommendations for adult females and males, aged 19–64 years, based on the degree of food processing and FOPL. NDNS items were coded into minimally processed food (MPF), processed culinary ingredients, processed food (PF) and UPF, and FOPL traffic lights. MPF, PF and UPF provided similar average contributions per 100 g to micronutrient recommendations. Per 100 kcal, MPF provided the greatest average contribution (14·4 % (interquartile range (IQR): 8·2–28·1)), followed by PF (7·7 % (IQR: 4·6–10·9) and then UPF (5·8 % (IQR: 3·1–9·7)). After adjusting for healthy/unhealthy items (presence of 1+ red FOPL), MPF had higher odds of an above-average micronutrient contribution per 100 kcal than UPF (OR: 5·9 (95 % CI 4·9–7·2)) and PF (OR: 3·2 (95 % CI 2·4–4·2)). MPF were more likely to provide greater contributions to micronutrient recommendations than PF or UPF per 100 kcal. These findings suggest that UPF or PF diets are less likely to meet micronutrient recommendations than an energy-matched MPF diet. The results are important for understanding how consumers perceive the healthiness of products based on FOPL.

Measurement error undermines the accuracy of dietary intake data. The 24-h dietary recall (24HR) is the standard data collection method in nutrition surveillance. Several neurocognitive processes underpin the act of recall, and individuals differ in their performance of these processes. This study aimed to investigate whether variation in neurocognitive processes, measured using four cognitive tasks, was associated with variation in measurement error of 24HR. Participants (n 139) completed the Trail Making Test, the Wisconsin Card Sorting Test, the Visual Digit Span and the Vividness of Visual Imagery questionnaire. During a controlled feeding study, participants completed three technology-assisted 24HR: the Automated Self-Administered Dietary Assessment Tool, Intake24 and an Interviewer-Administered Image-Assisted 24HR (IA-24HR) 1 week apart. The percentage error between reported and true energy intakes was calculated. Using linear regression, the association between cognitive task scores and absolute percentage error in estimated energy intake was assessed. Longer time spent completing the Trail Making Test, an indicator of visual attention and executive functioning, was associated with greater error in energy intake estimation using ASA24 (B 0·13, 95 % CI 0·04, 0·21) and Intake24 (B 0·10, 95 % CI 0·02, 0·19). Regression models explained 13·6 % (ASA24) and 15·8 % (Intake24) of the variance in energy estimation error. No cognitive task scores were associated with error using IA-24HR. This study demonstrates that variation between individuals in neurocognitive processes explains some of the variation in 24HR error. Further investigation into the role of neurocognitive processes in 24HR and their role in the reliability of dietary intake data is warranted.

An assessment of systemic inflammation and nutritional status may form the basis of a framework to examine the prognostic value of cachexia in patients with advanced cancer. The objective of the study was to examine the prognostic value of the Global Leadership Initiative on Malnutrition criteria, including BMI, weight loss (WL) and systemic inflammation (as measured by the modified Glasgow Prognostic Score (mGPS)), in advanced cancer patients. Three criteria were examined in a combined cohort of patients with advanced cancer, and their relationship with survival was examined using Cox regression methods. Data were available on 1303 patients. Considering BMI and the mGPS, the 3-month survival rate varied from 74 % (BMI > 28 kg/m2) to 61 % (BMI < 20 kg/m2) and from 84 % (mGPS 0) to 60 % (mGPS 2). Considering WL and the mGPS, the 3-month survival rate varied from 81 % (WL ± 2·4 %) to 47 % (WL ≥ 15 %) and from 93 % (mGPS 0) to 60 % (mGPS 2). Considering BMI/WL grade and mGPS, the 3-month survival rate varied from 86 % (BMI/WL grade 0) to 59 % (BMI/WL grade 4) and from 93 % (mGPS 0) to 63 % (mGPS 2). When these criteria were combined, they better predicted survival. On multivariate survival analysis, the most highly predictive factors were BMI/WL grade 3 (HR 1·454, P = 0·004), BMI/WL grade 4 (HR 2·285, P < 0·001) and mGPS 1 and 2 (HR 1·889, HR 2·545, all P < 0·001). In summary, a high BMI/WL grade and a high mGPS as outlined in the BMI/WL grade/mGPS framework were consistently associated with poorer survival of patients with advanced cancer. It can be readily incorporated into the routine assessment of patients.

The aim of this randomised controlled trial was to investigate the effects of breakfast high or low in protein on body composition and cardiometabolic markers in young women with overweight. In total, fifty-six women aged 18–30 years consumed a breakfast containing either high protein (34 g protein, n 26) or low protein (6 g protein, n 30) for 12 weeks. Measurements of body composition by dual-energy X-ray absorptiometry, waist circumference, glucose tolerance, fasting glucose, insulin and lipid profile were performed before and after this period. The primary outcome was fat mass. Satiety and hunger were evaluated by self-reported Visual Analogue Scale (VAS) scores. Dietary intake was estimated by 4-d dietary records, and calcium intake was estimated by FFQ. At baseline, relative daily protein intake was 15·2 ± 2·8 E%, which increased to 19·3 ± 3·4 E% in high protein but was unchanged in low protein (P < 0·001 between groups). High protein reported higher satiety compared with low protein (P = 0·02). Yet, no group differences were observed in changes in energy intake, body composition, blood lipid profile or measures of glucose tolerance (all P > 0·10). However, bone mineral content tended to increase in high protein (P = 0·05) and decrease in low protein (P = 0·07, interaction effect: P = 0·01). Conclusively, a high v. low content of protein in breakfast increased satiety but did not affect body composition or cardiometabolic markers in young women with overweight. This study adds to the sparse evidence on the effects of breakfast with different macronutrient compositions on health parameters in women with overweight. Registered at clinicaltrials.gov: NCT04518605.

Prior studies have shown that plant-based diets are associated with lower cardiovascular risk. However, these diets encompass a large diversity of foods with contrasted nutritional quality that may differentially impact health. We aimed to investigate the pooled cross-sectional association between metabolic syndrome (MetS), its components and healthy and unhealthy plant-based diet indices (hPDI and uPDI), using data from two French cohorts and one representative study from the French population. This study included 16 358 participants from the NutriNet-Santé study, 1769 participants from the Esteban study and 1565 participants from the STANISLAS study who underwent a clinical visit. The MetS was defined according to the International Diabetes Federation definition. The associations between these plant-based diet indices and MetS were estimated by multivariable Poisson and logistic regression models, stratified by gender. Meta-analysis enabled the computation of a pooled prevalence ratio. A higher contribution of healthy plant foods (higher hPDI) was associated with a lower probability of having MetS (PRmen: 0·85; 95 % CI: 0·75, 0·94, PRwomen: 0·72; 95 % CI: 0·67, 0·77), elevated waist circumferences and elevated blood pressure. In women, a higher hPDI was associated with a lower probability of having elevated triacylglyceride (TAG), low HDL-cholesterolaemia and hyperglycaemia; and a higher contribution of unhealthy plant foods was associated with a higher prevalence of MetS (PRwomen: 1·13; 95 % CI: 1·01, 1·26) and elevated TAG. A greater contribution of healthy plant floods was associated with protective effects on metabolic syndrome, especially in women. Gender differences should be further investigated in relation to the current sustainable nutrition transition.

This study aims to illustrate a process approach for the calculation of minimum dietary diversity (MDD) indicators for interpretation of dietary diversity (DD) scores and to validate the MDD indicator as a proxy for adequate micronutrient intake using an existing dataset for 2 to younger than 10-year-old South African children. The DD scores were derived from nine food groups, adjusted from the ten food groups for women of reproductive age by combining pulses, nuts and seeds. Three reference methods were used to inspect micronutrient adequacy, namely the mean adequacy ratio and the mean probability of adequacy (MPA) using a single 24-h recall, and the MPA derived from usual intake using more than one 24-hour recall in a sub-sample. Adequacy threshold levels and candidate MDD indicators were inspected and validated using several performance criteria. Results show that the mean and median DD scores were 3·6 and 3·1, respectively. The resulting MDD indicators varied between 3 and 4 out of nine food groups favouring the identification of children with adequate and inadequate intake, respectively, depending on the method used and the age group. Our results and those from others furthermore support a simplified method or ‘rule of thumb’ for the determination of an MDD indicator to establish the integer values below and above the median of the DD scores. We conclude that finding a valid MDD indicator can be done using different methodologies and that results underscore the potential of a simplified method for determining an MDD indicator.

Dietary guidelines often combine plant and animal protein intake recommendations, yet evidence suggests they may have distinct associations with health. This study aimed to examine relationships between animal and plant protein intake, using different classification approaches, and diet quality and obesity. Plant and animal protein contents of foods reported by 7637 participants (≥ 19 years) during the 2011–2012 National Nutrition and Physical Activity Survey were estimated using Australian food composition databases. Usual animal, plant and total protein intakes were estimated using Multiple Source Methods. Diet quality was assessed using the 2013-Dietary Guidelines Index (DGI), and obesity measures included BMI and waist circumference (WC). Multiple linear and logistic regressions were performed and adjusted for potential confounders. Plant and animal protein intakes were positively associated with DGI scores (plant protein: men, β = 0·74 (95 % CI: 0·64, 0·85); women, β = 0·78 (0·67, 0·89); animal protein: men, β = 0·15 (0·12, 0·18); women, β = 0·26 (0·22, 0·29)). These associations were consistent when examining high-quality plant protein (high-protein-containing plant-based foods with comparable nutritional values to animal proteins) and non-dairy animal protein intakes. Plant protein intake was inversely associated with BMI and WC in men but not women. Animal protein intake was positively associated with BMI in both sexes and WC in men only. Men’s plant protein intake was inversely associated with obesity (OR = 0·97 (0·96, 0·99)) and central obesity (OR = 0·97 (0·95, 0·98)). Further studies are needed to examine the influence of different animal protein sources by accounting for energy intake and sex-specific associations.