This study aimed to assess the extent to which first-morning void (FMV) urine samples can estimate sodium and potassium excretion compared with 24-hour (24-h) urine samples at the population level. We conducted a cross-sectional study collecting urine samples (FMV and 24-h) and two non-consecutive 24-h dietary recalls in a sub-sample from the Portuguese IAN-AF sampling frame. Six predictive equations were used to estimate 24-h sodium and potassium excretion from FMV urine samples. Pearson correlation coefficients were calculated to compare the association between FMV and 24-h urine collections. Cross-classifications into tertiles were computed to calculate the agreement between measured and estimated excretion with and without calibration. Pearson correlation coefficients were calculated to compare the excretion estimation from FMV and reported intake from 24-h dietary recalls. Bland–Altman plots assessed the agreement between two-day dietary recall and the best-performing calibrated equation. Data from eighty-six subjects aged 18–84 were analysed. Estimated sodium and potassium concentrations from the predictive equations moderate or strongly correlated with the measured 24-h urine samples. The Toft equation was the most predictive and reliable, displaying a moderate correlation (r=0.655) with no risk of over or underestimation of sodium excretion (p=0.096). Tanaka and Kawasaki equations showed a similar moderate correlation (r=0.54 and r=0.58, respectively) but tended to underestimate the 24-h urine excretion of potassium (p<0.001). Calibrated predictive equations using FMV urine samples provide a moderately accurate alternative and resource-efficient option for large-scale nutritional epidemiology studies when 24-h urine collection is impractical.

Flavonoids are a key class of polyphenols, i.e., phytochemical compounds present in foods and beverages, which have been described as having health benefits in preventing several chronic diseases. Estimating flavonoid intake has already been conducted in several countries but has yet to be performed in Portugal. This study included 5005 participants aged 3–84 years and aimed to estimate dietary flavonoid intake in the Portuguese population, using data from the National Food and Physical Activity Survey 2015–2016, providing information on intake, main food contributors and the socio-demographic factors associated with the intake. Food intake data from the survey was converted to flavonoid intake using a database built to include the most updated USDA databases on flavonoids, isoflavones and proanthocyanidins and the Phenol-Explorer database. The rationale for combining food consumption data and different flavonoid databases using the FoodEx2 classification system was established. Linear regressions assessed the associations between socio-demographic factors and dietary flavonoid intake. The total flavonoid intake of the Portuguese population was estimated to be 107·3 mg/d. Flavanols were the most representative subclass, followed by flavonols, anthocyanidins, flavanones, flavones and isoflavones. Fruits and vegetables were the primary food contributors, providing 31·5 % and 12·4 % of the total flavonoid intake. Adolescents had the lowest total flavonoid intake, and older adults had the highest. This study provides information on the Portuguese population’s dietary flavonoids, allowing for international comparisons. It can also streamline forthcoming investigations into the link between flavonoid consumption and its impact on health, contributing to the future establishment of dietary reference values.

This cross-sectional study aimed to identify patterns of food preparation and examine their demographic and socio-economic drivers, along with impacts on health and nutritional status, physical activity, and diet quality. Dietary data from a national-representative sample (n = 5005, 3–84 years) of the Portuguese National Food, Nutrition, and Physical Activity Survey (IAN-AF 2015/16) were classified by preparation locations (at or away from home) and analysed via hierarchical clustering. Logistic regression models were used to examine associations between demographic and socio-economic factors and food preparation patterns and between these patterns and health and nutritional status, physical activity, and diet quality. The most common food preparation pattern (followed by 45.4% of participants) represented the highest intake of foods prepared by away-from-home establishments. Adolescents (vs. children, OR = 0.29, 95%CI = 0.17, 0.49) and older adults (vs. adults, OR = 0.37, 95%CI = 0.26, 0.53) had lower odds of following this pattern, whereas adult men (vs. women, OR = 4.20, 95%CI = 3.17, 5.57) had higher odds. Higher education, higher household income, and having children/adolescents in the household also increased the odds of eating foods prepared away from home, whereas living in rural areas or in food-insecure households decreased the odds. Noticeably, adults consuming more foods prepared away from home had lower odds of being overweight or obese (OR = 0.74, 95%CI = 0.56, 0.97), but higher odds of sedentarism (OR = 1.45, 95%CI = 1.08, 1.96) and poor diet (OR = 3.01, 95%CI = 2.08, 4.34) compared to those consuming more foods prepared at home by themselves. Dietary patterns marked by high away-from-home food preparation prevail. While these correlated with higher socio-economic status, sedentarism, and poorer diet — relatively to patterns with greater reliance on homecooked food — they were not linked to higher odds of obesity.

To address the global challenge of plastic waste, 175 UN Member States are negotiating a legally binding instrument, the Plastic Treaty, aimed at ending plastic pollution. This ambitious framework, targeting both terrestrial and marine sources, is being developed through Intergovernmental Negotiating Committee meetings scheduled to conclude by 2025. Amidst uncertainties and power dynamics influencing state positions, this research identifies 10 critical, yet unresolved, points within the treaty negotiations (i.e., the scope of the treaty, equity and differentiation, involvement of non-state actors, integration with existing agreements, standards and specifications, trade implications, monitoring and reporting, responsibility and historical contributions, binding vs. non-binding commitments, and financing and technology transfer). The findings suggest potential compromises in the treaty’s environmental provisions, influenced by domestic interests and international power disparities. As negotiations progress, the imperative for cooperation and decisive action against plastic pollution becomes increasingly pressing, challenging member states to prioritize global environmental integrity over national interests.

The study aimed to describe trajectories of free sugar (FS) intake, its main sources and the associations with socio-economic status (SES) in Portuguese children/adolescents evaluated at 4, 7, 10 and 13 years of age from Generation XXI birth-cohort. Dietary intake was assessed through 3-day food diaries (n 5268). Added sugar intake was estimated following a systematic methodology, and FS was based on the WHO definition. A mixed-effects model with linear and quadratic terms for time was used to estimate FS trajectories and its association with SES, adjusting for children’s sex, age, BMI and SES. The FS mean intake (g/day) was 37, 47, 51 and 48 at 4, 7, 10 and 13 years, respectively. FS intake increased 4·6 g/year (CI 95 %: 4·20, 5·04), but velocity decreased by 0·3 g/year2 until 13 years. At all ages, the main food source was sweets. Some item’s consumption declined (sweets 25–21 % and yoghurts 22–7 %) as children grew older. Inversely, soft drink intake increased (9–18 %). Boys and children from younger mothers had higher FS intake, whereas higher maternal–SES was associated with lower children’s FS intake: occupational status (β = –3·5; 95 % CI: –4·97, –1·94), years of education (β = –3·7; 95 % CI: –4·93, –2·40) and household income (β = –4·9; 95 % CI: –6·50, –3·27). The FS trajectories were similar by SES categories but different by obesity status (interaction term β = –1·04; CI 95 % (–1·50, –0·59)). An increasing FS trajectory during childhood is mainly driven by an increasing intake of soft drinks and nectars. The FS trajectory pattern did not change according to SES categories, but children’s FS intake was always higher when their mothers had a lower SES.

This cross-sectional study aims to describe and compare energy, nutrient intake and food consumption according to eating location and by age groups using data from the National Food, Nutrition and Physical Activity Survey (IAN-AF 2015/2016). Dietary intake was estimated by two non-consecutive days of food diaries (children)/24-h recalls (other age groups), and four eating location categories were defined according to the proportion of meals consumed at out-of-home locations: Home (at least 80 % of meals at home), Other Homes, School or Work and Restaurants and Other Places. The majority of meals (69·1 %) were consumed at home. Meals were also often taken at school by children and adolescents and in restaurants and similar outlets by adults and elderly. Children and adolescents in the School or Work category ate more fruit, vegetables and pulses and cereals and starchy tubers, whereas adults in this category ate more red and processed meats, sugar-sweetened beverages and sweets. Compared with Home category, Restaurants and Other Places was associated with worse diet adequacies among children (β = –1·0; 95 % CI = –2·0, −0·04), adolescents: (β = –2·4; 95 % CI = –3·2, −1·5) and adults (β = –1·3; 95 % CI = –1·6, −1·0) reflecting higher intakes of energy, fat, trans-fatty acids and SFA, and Na. The elderly consumed more free sugars and fat when eating out of home in general. Overall, findings reflect important variation in nutrient profiles by eating location, with meals taken at school or work contributing to higher consumption of nutrient-dense foods and those taken in restaurants and other similar settings implying higher consumption of energy-dense foods.

This study evaluated the association between ultra-processed foods (UPF) on serum IL-6 and to investigate the mediation role of adiposity. Participants were 524 adults from the EPITeen Cohort (Porto, Portugal) and 2888 participants from the 1982 Pelotas Birth Cohort (Pelotas, Brazil). Dietary intake was collected using FFQ when participants were 21 years of age in the EPITeen and 23 years in the Pelotas Cohort. Serum IL-6 and body fat mass were evaluated when participants were 27 and 30 years old in the EPITeen and Pelotas, respectively. Generalised linear models were fitted to test main associations. Mediation of body fat mass was estimated using G-computation. After adjustment for socio-economic and behaviour variables, among females from the EPITeen, the concentration of IL-6 (pg/ml) increased with increasing intake of UPF from 1·31 (95 % CI 0·95, 1·82) in the first UPF quartile to 2·20 (95 % CI 1·60, 3·01) and 2·64 (95 % CI 1·89, 3·69) for the third and fourth UPF quartiles, respectively. A similar result was found among males in the Pelotas Cohort, IL-6 increased from 1·40 (95 % CI 1·32, 1·49) in the first UPF quartile to 1·50 (95 % CI 1·41, 1·59) and 1·59 (95 % CI 1·49, 1·70) in the two highest UPF quartiles. The P-value for the linear trend was < 0·01 in both findings. The indirect effect through fat mass was NS. Our findings suggest that the consumption of UPF was associated with an increase in IL-6 concentration; however, this association was not explained by adiposity.

Portugal has high fish/seafood consumption, which may have both risks and benefits. This study aims to quantify the net health impact of hypothetical scenarios of fish/seafood consumption in the Portuguese population using a risk–benefit assessment methodology. Consumption data from the National Food, Nutrition and Physical Activity Survey 2015–2016 (n 5811) were used to estimate the mean exposure to methylmercury and EPA + DHA in the current and the alternative scenarios considered. Alternative scenarios (alt) were modelled using probabilistic approaches to reflect substitutions from the current consumption in the type of fish/seafood (alt1: excluding predatory fishes; alt2: including only methylmercury low-level fishes) or in the frequency of weekly fish/seafood consumption (alt3 to alt6: 1, 3, 5 or 7 times a week, replacing fish/seafood meals with meat or others). The overall health impact of these scenarios was quantified using disability-adjusted life years (DALY). In the Portuguese population, about 11 450 DALY could be prevented each year if the fish/seafood consumption increased to a daily basis. However, such a scenario would result in 1398 extra DALY considering the consumption by pregnant women and the respective risk on fetal neurodevelopment. Our findings support a recommendation to increase fish/seafood consumption up to 7 times/week. However, for pregnant women and children, special considerations must be proposed to avoid potential risks on fetal neurodevelopment due to methylmercury exposure.

This study aims to evaluate the interaction effect of socio-economic environment (SEE) in the relationship between the eating location (EL) and diet quality, in children and adolescents. Data included Portuguese children and adolescents (3–17 years) from a National Dietary Survey Sample (IAN-AF 2015/2016, n 987). Dietary intake was obtained by 2-d food diaries (children) or 2–24-h-recall (adolescents). Participants were classified into four groups of EL: ‘Home’, ‘Other homes’, ‘School’ and ‘Restaurants’. Diet quality was measured as a higher adherence to a healthy eating pattern. A previous developed socio-economic classification was used, and participants were grouped as belonging to a low socio-economic environment (LSE) or middle-high socio-economic environment (MHSE). Linear regression models were used to evaluate the association between EL and diet quality, stratified by the SEE. A statistically significant interaction effect was found (P < 0·01) for the SEE in the association between EL and diet quality. After adjustment for potential confounders, in LSE, participants belonging to ‘Other homes’ (β = –2·07; 95 % CI:–3·70, –0·44) and ‘Restaurants’ (β = –3·31; 95 % CI: –5·08, –1·54) had lower scores in the diet quality score, comparing to ‘Home’. In MHSE, comparing with ‘Home’, ‘Restaurants’ showed lower diet quality (β = –1·56; 95 % CI:–2·65, –0·48), while the ‘School’ had better diet quality (β = 0·90; 95 % CI: 0·16, 1·64). The SEE influences the association between EL and diet quality and, belonging to more disadvantaged SEE, might represent a higher risk of unhealthy eating habits when eating out-of-home.

Ultra-processed foods (UPFs) are common worldwide and associated with poorer health outcomes. This work aimed to explore the UPF consumption associated factors and its main dietary sources, by sex, in Portugal. Participants from the National Food, Nutrition and Physical Activity Survey (IAN-AF) 2015–2016, aged 3–84 years, were included (n 5005). Dietary intake was assessed through two 1-day food diaries/24 h recalls. UPFs were identified using the NOVA classification. Associations were evaluated through linear regression models. Median UPF consumption was 257 g/d (10⋅6 % of total quantity; 23⋅8 % of total energy). Adolescents were those with higher consumption (490 g/d). Compared to adults, younger ages were positively associated with UPF consumption (e.g. adolescents ($\hat{\beta }$-females: 192, 95 % confidence interval (CI): 135, 249; $\hat{\beta }$-males: 327, 95 % CI: 277, 377)). A lower educational level was associated with lower UPF consumption ($\hat{\beta }$-females: −63; 95 % CI: −91, −34; $\hat{\beta }$-males: −68; 95 % CI: −124, −12). Also, a lower UPF consumption was observed in married males/couples compared to singles ($\hat{\beta }$: −48, 95 % CI: −96, −1). Furthermore, female current/former smokers were associated with a higher UPF consumption v. never smokers ($\hat{\beta }$: 79, 95 % CI: 41, 118; $\hat{\beta }$: 42, 95 % CI: 8, 75, respectively). Main UPF sources were yoghurts, soft drinks and cold meats/sausages differing strongly by sex, age and education level. Yoghurts containing additives were the main contributors to the UPF consumption in children and adult females from all education (~20 %). Soft drinks were leaders in adolescents (females: 26⋅0 %; males: 31⋅6 %) and young male adults (24⋅4 %). Cold meats/sausages stood out among low-educated males (20⋅5 %). Males, younger age groups, higher education, children with less-educated parents, married/couple males and smoking females were positively associated with UPF consumption.

Malnutrition (synonym: undernutrition) is prevalent among older adults, which may be partly related to changes in dietary intake, but evidence on the link between malnutrition and diet is scarce. The aims of this study were to estimate the association between energy/nutrients intake and malnutrition, and to characterise nutritional inadequacy in institutionalised and non-institutionalised older adults. A national survey was conducted including a Portuguese representative sample of nursing home (NH) residents (n 563) and community-dwellers (n 837) aged ≥ 65 years. Data included socio-demographic characteristics, self-reported health, loneliness feelings, nutritional status (Mini Nutritional Assessment®) and dietary intake (two non-consecutive 24-h recalls). A higher energy intake was associated with lower odds of malnutrition risk (being ‘at risk of malnutrition’ or ‘malnourished’) in both settings, but only significant among NH residents after adjusting for confounders (NH: OR = 0·66, 95 % CI 0·50, 0·86; community: OR = 0·64, 95 % CI 0·37, 1·10). The intake of carbohydrates, fat, fibre, vitamin C, Na, K and Mg was inversely associated with malnutrition risk in NH residents, and protein, fat, vitamin B6, folates, Na, K, Ca and Mg intake in community-dwellers. After additional adjustment for total energy, only Na and Mg intake of community-dwellers remained significantly associated. The prevalence of inadequate nutrient intake was generally higher for the malnutrition risk group, which was particularly evident among community-dwellers. The effect of dietary intake on nutritional status seems more dependent on total energy and carbohydrates intake in institutionalised elders, whereas among community-dwellers protein and some micronutrients appear to have a greater impact.

Adherence to the Mediterranean diet (MD) has been decreasing in southern Europe, which could be linked to several cultural or educational factors. Our aim is to evaluate the extent to which economic aspects may also play a role, exploring the relationship between food prices in Portugal and adherence to the MD. We evaluated data from the Portuguese National Food, Nutrition, and Physical Activity Survey (IAN-AF 2015–2016) (n 3591). Diet expenditures were estimated by attributing a retail price to each food group, and the diet was transposed into the Mediterranean Diet Score used in the literature. Prices were gathered from five supermarket chains (65 % of the Portuguese market share). Linear regression models were used to assess the association between different adherence levels to the MD levels and dietary costs. Greater adherence to the MD was associated with a 21·2 % (P < 0·05) rise in total dietary cost, which accounts for more 0·59€ in mean daily costs when compared with low adherence. High adherence individuals (v. low adherence) had higher absolute mean daily costs with fish (0·62€/+285·8 %; P < 0·05), fruits (0·26€/+115·8 %; P < 0·05) and vegetables (0·10€/+100·9 %; P < 0·05). The analysis stratified by education and income level showed significantly higher mean daily diet cost only amongst higher income groups. Our findings suggest that greater adherence to the MD was positively and significantly associated with higher total dietary cost. Policies to improve population’s diet should take into consideration the cost of healthy foods, especially for large low- and middle-income families.

This study aimed to investigate the association of ultra-processed food consumption at 4 and 7 years of age with appetitive traits at 7 years and BMI at 10 years of age. Participants were 1175 children of the population-based birth cohort Generation XXI, who provided food diaries and complete data on socio-demographic variables, anthropometric measures and the Portuguese Children’s Eating Behaviour Questionnaire (P-CEBQ). Foods were grouped according to NOVA classification into: ‘unprocessed, minimally or moderately processed, and culinary preparations’; ‘processed’ and ‘ultra-processed’. To assess tracking of groups’ consumption, Pearson’s correlation coefficient (r) and the intraclass correlation coefficient (ICC) were calculated. Generalised linear models were fitted to test main associations, mediators and interactions among the variables. Ultra-processed consumption exhibited a fair level of stability between ages 4 and 7 years (r 0·34; ICC = 0·32; 95 % CI 0·25, 0·39), corresponding, respectively, to 27·3 % (1881·9 (SD 908·8) kJ/d) and 29·3 % (2204·5 (SD 961·1) kJ/d) of total energy intake. After adjusting for maternal and child characteristics, higher ultra-processed consumption at 4 years was associated directly with ‘Food Responsiveness’ (β = 0·019; 95 % CI 0·007, 0·037) and indirectly through energy intake with avoidant traits: ‘Food Fussiness’ (β = –0·007; 95 % CI 0·002, 0·012) and ‘Satiety Responsiveness’ (β = –0·007; 95 % CI 0·003, 0·012). Ultra-processed consumption at 4 years old was associated with BMI at 10 years old, but appetitive behaviours were not powerful mediators of this association. The results suggest a path by which ultra-processed products may impact on later appetitive traits and higher BMI in children.

Evidence on how gender intersects with relevant social constructs in later phases of life is scarce. This investigation examined gender inequalities in perceived health status (self-perceived general health; SPGH) by Portuguese elderly community-dwellers while considering psycho-social and socio-demographic determinants. This study used data from a representative sample of community-dwellers aged ≥65 years (N = 920), who were enrolled in the Portuguese Elderly Nutritional Status Surveillance System (PEN-3S) project. Associations between SPGH and socio-demographic and psycho-social variables, functionality and self-reported morbidity were tested; indirect effects of relevant predictors on SPGH were also tested using a bootstrap method. Gender inequalities in health were found: women significantly rated their health worse than men; overall, participants rated their health as fair. Education, functional status, depression symptoms and self-reported morbidity significantly predicted SPGH among women, whereas only the latter two were associated with SPGH among men. For both genders, depression was the strongest predictor of SPGH. Mediation analyses detected indirect effects of cognitive function and loneliness feelings on SPGH among older adults. Results herein provide insights on the predictive role of psycho-social variables on SPGH and support the need for considering the context when addressing the correlates of SPGH among Portuguese older adults. Altogether, these findings might support cost-effective interventions targeting the most vulnerable groups of the population to inequalities in health and its predictors.

Both malnutrition (which here refers to undernutrition) and obesity are prevalent in older adults, but they are frequently seen as mutually exclusive. In fact, a low body mass index (BMI) is one of the aetiological diagnostic criteria for malnutrition. On the contrary, the concomitant presence of malnutrition and obesity has been less studied. The aim of this study was to characterise the nutritional status of community-dwelling older adults (≥ 65 years old) living in Portugal. The study included a nationally representative sample of randomly selected community-dwelling older adults. Trained nutritionists collected data through face-to-face structured interviews regarding sociodemographic characteristics, nutritional status and anthropometric measures (namely, weight and height), among other variables of the PEN-3S study. Nutritional status was assessed by the 18-item Mini Nutritional Assessment (full MNA®), in which a lower score indicates worse nutritional status. The World Health Organisation's (WHO) BMI cut-offs for adults were followed (obesity: BMI ≥ 30Kg/m2). MNA and BMI categories estimates (95% CI) were obtained using Complex Samples analysis (SPSS® 24.0). Non-difference between sexes was analysed with Chi-square tests. Complete information was available for 1110 community-dwelling participants (mean age: 75.9 ± 8.1 years; 48.9% women; 71.4% attended school for < 5 years). According to the MNA, 0.5% (95%CI: 0.2–1.7) were classified as malnourished and 16.0% (12.9–19.7) were at risk of malnutrition. Following WHO's BMI criteria, 0.6% (0.2–1.5) had a BMI ≤ 18.5Kg/m2, 41.9% (37.9–46.0) had a BMI between 25–30Kg/m2, and 36.7% (32.8–40.9) presented a BMI ≥ 30Kg/m2. The prevalence of risk of malnutrition was significantly higher for women (20.1%, 95%CI: 15.4–25.9) than men (10.4%, 7.6–14.1; p < 0.001). The prevalence of obesity was also significantly higher for women (42.2%, 35.9–48.7 versus 29.3%, 24.8–34.2; p = 0.007). Moreover, 13.9% (9.2–20.4) were simultaneously at risk of malnutrition and had a BMI ≥ 30Kg/m2, while no one in this BMI category was classified as malnourished. Although appropriate BMI cut-offs for older adults are still uncertain, these results highlight that a high BMI does not exclude the risk of malnutrition, particularly in women. Therefore, health professionals should routinely screen for malnutrition using multi-component, validated screening tools, irrespective of the BMI. In fact, malnutrition is preventable if detected on time and effective interventions exist. The concomitant presence of malnutrition and obesity may pose additional challenges to the treatment.