Bisphenol A and cardiometabolic risk in adolescents: Data from the Generation XXI cohort.

BACKGROUND AND AIMS: Bisphenol A (BPA), an endocrine disruptor widely used in food contact materials, has been linked to a worse health profile. This study intends to estimate the association between BPA exposure and cardiometabolic patterns at adolescence. METHODS AND RESULTS: Data from the Portuguese population-based birth cohort Generation XXI at the age of 13 were used (n = 2386 providing 3-day food diaries and fasting blood samples). BPA exposure was measured in 24-h urine from a subsample (n = 206) and then predicted in all participants using a random forest method and considering dietary intake from diaries. Three cardiometabolic patterns were identified (normal, modified lipid profile and higher cardiometabolic risk) using a probabilistic Gaussian mixture model. Multinomial regression models were applied to associate BPA exposure (lower, medium, higher) and cardiometabolic patterns, adjusting for confounders. The median BPA exposure was 1532 ng/d, corresponding to 29.4 ng/kg/d. Adolescents higher exposed to BPA (compared to medium and lower levels) had higher BMI z-score (kg/m2) (0.68 vs. 0.39 and 0.52, respectively; p = 0.008), higher levels of body fat (kg) (16.3 vs. 13.8 and 14.6, respectively; p = 0.002), waist circumference (76.2 vs. 73.7 and 74.9, respectively; p = 0.026), insulinemia (ug/mL) (14.1 vs. 12.7 and 13.1, respectively; p = 0.039) and triglyceridemia (mg/dL) (72.7 vs. 66.1 and 66.5, respectively; p = 0.030). After adjustment, a significant association between higher BPA and a higher cardiometabolic risk pattern was observed (OR: 2.55; 95%CI: 1.41, 4.63). CONCLUSION: Higher BPA exposure was associated with a higher cardiometabolic risk pattern in adolescents, evidencing the role of food contaminants in health.

Methodological approaches for the assessment of bisphenol A exposure.

Bisphenol A (BPA) is an endocrine disruptor used in food contact materials, by the application of polycarbonate plastics and epoxy resins. The main objective of this study is to compare the estimate of daily BPA exposure at 13 years of age and in the adult Portuguese population, using different methodological approaches, and assess the associations between this exposure and sociodemographic characteristics. METHODOLOGY: Cross-sectional data of 13-years follow-up from a population-based birth cohort Generation XXI (GXXI) (n = 2804) and from the National Food, Nutrition and Physical Activity Survey (IAN-AF 2015-2016) (n = 3845, ≥18 years old) was used. Dietary information was collected through three food diaries for adolescents and two non-consecutive 24-hour-recalls for adults. To estimate the daily exposure to BPA, three methodological approaches were used. "Food groups attribution" merged the food consumption data with the concentration of BPA in food groups. "Regression tree model" and "random forest" combined food consumption information with urinary BPA, measured in a subsample of 24-hour urine (in adolescents n = 216, and in adults n = 82), both used to predict BPA exposure in the remaining sample. The fit-index of the methodologies was assessed through the root mean square error (RMSE), mean absolute error (MAE) and Spearman correlation coefficient (ρ). Associations between BPA exposure and sociodemographic variables were tested by linear regression models, adjusted for sex, age groups (in adults) and educational level. Tolerable Daily Intake (TDI) of 0.2 ng/kg body weight (bw), recently proposed by the European Food Safety Authority (EFSA), was used for the risk characterization of BPA exposure. RESULTS: The "random forest" was found as the best methodology to estimate the daily BPA exposure (adolescents: RMSE = 0.989, MAE = 0.727, ρ = 0.168; adults: RMSE = 0.193, MAE = 0.147, ρ = 0.250). The median dietary BPA exposure, calculated by "food groups attribution", was 79.1 and 46.1 ng/kg bw/day for adolescents and adults, respectively, while "random forest" estimated a BPA exposure of 26.7 and 38.0 ng/kg bw/day. 99.9% of the Portuguese population presented a daily exposure above TDI. Male adolescents, females and higher educated adults, were those more exposed to BPA. CONCLUSIONS: The estimated daily BPA exposure strongly depends on the methodological approach. Food groups attribution may overestimate the exposure while the random forest appears to be a better methodological approach to estimate BPA exposure. Nevertheless, for all methods, the Portuguese population presented an unsafe BPA exposure by largely exceeding the safe levels proposed by EFSA.

A lower energy intake contributes to a better cardiometabolic profile in adolescence: Data from the EPITeen cohort.

Caloric restriction has been associated with improved cardiometabolic health. Available data in humans are commonly based on short follow-up periods, specific diets, or population groups. We hypothesized that participants of a population-based cohort (Epidemiological Health Investigation of Teenagers in Porto) with a dietary pattern characterized by a lower energy intake during adolescence have a better cardiometabolic profile in adolescence and young adulthood than other dietary patterns. At aged 13 and 21 year evaluations, diet, anthropometric, and cardiometabolic measures were assessed. Diet was assessed through a food frequency questionnaire and, at 13 years, summarized in dietary patterns identified by cluster analysis. The lower intake dietary pattern included 40% of the participants. The energy intake misreport was estimated using the Goldberg method. Analysis of variance and analysis of covariance were used to compare cardiometabolic risk factors according to dietary patterns. The mean energy intake was 2394 and 2242 Kcal/d for the total sample at aged 13 years (n = 962) and 21 years (n = 862), respectively. Those belonging to the lower intake dietary pattern showed a 25% and 5% lower energy intake, respectively. In the cross-sectional analysis at aged 13, adolescents belonging to the lower intake dietary pattern presented lower glucose, insulin, triglycerides, and blood pressure values after adjusting for body mass index and parents' education level. Among the plausible reporters, differences were only statistically significant for glucose and systolic blood pressure. Our data support that a dietary pattern characterized by a lower energy intake may contribute to a better cardiometabolic profile in adolescents. However, no significant effect was found in young adulthood.

Effect of the food processing degree on cardiometabolic health outcomes: A prospective approach in childhood.

BACKGROUND & AIMS: Ultra-processed foods (UPF) consumption has increased greatly over the last decades but its impact on health remains unclear. This study aimed to evaluate the prospective effect of different degrees of food processing on children's cardiometabolic profile. METHODS: Children from the Portuguese population-based birth cohort Generation XXI evaluated at 7 and 10 years of age (y), with dietary information at 7 y and anthropometric measurements at 10 y, were included in the present study (n = 3034). Dietary data were collected by 3-day food diaries and all reported food items were classified according to the degree of processing using the NOVA classification system. The daily consumption of the NOVA classification groups was calculated (in grams, as a proportion of total grams and total energy intake). The cardiometabolic outcomes included were serum markers [fasting glucose, insulin, blood lipids], anthropometric measurements [body mass index (BMI) and waist circumference (WC)], body composition [fat-free mass (FFM) and fat mass (FM)] and blood pressure (BP). Age- and sex-specific sample z-scores were obtained for all outcomes. Principal Component Analysis was used to identify a potential cluster of cardiovascular risk factors. Generalized linear models were fitted to evaluate the association between the consumption according to the processing degree (as absolute gram intake) and the individual cardiometabolic risk factors and cluster, adjusted for child's sex, maternal age and education and remaining NOVA groups. A mediation role of children's BMI in the previous analysis were tested. RESULTS: At 7 y, the daily median consumption of un/minimally processed, processed and UPF was 1210 g, 113 g and 433 g (68%, 6% and 25% of the total grams, as well as 51%, 15% and 31% of the total energy intake, respectively). After adjustment, an increase of 100 g in the consumption of un/minimally processed at 7 y was associated with a lower BMI (߈ = -0.028; 95%CI: -0.043; -0.014), WC (߈ = -0.020; 95%CI: -0.032; -0.008), FM (߈ = -0.023; 95%CI: -0.035; -0.011), insulin (߈ = -0.022; 95%CI: -0.036; -0.008) and BP (systolic BP: ߈ = -0.014; 95%CI: -0.025;-0.004; diastolic BP: ߈ = -0.013; 95%CI: -0.020;-0.005), at 10 y. BMI was a mediator between the consumption of un/minimally processed foods and BP. Positive associations were found between consumption of processed foods and the cluster 'higher blood pressure', while an inverse association was described between un/minimally processed and the cluster 'higher blood pressure'. No significant associations were found between the UPF consumption and any cardiometabolic outcomes. CONCLUSIONS: High consumption of unprocessed or minimally processed foods has a favourable effect on later children's cardiometabolic health, namely lower body weight and body fat, lower waist circumference, blood pressure insulin serum levels.

Dietary exposure to artificial sweeteners and associated factors in the Portuguese population.

This study aimed to evaluate the risk of the Portuguese population's exposure to six non-nutritive intense sweeteners (NNIS) and their main associated factors. A tiered approach was used to estimate the usual exposure to the NNIS obtained from two 1-day food diaries among children and two 24-hour recalls among adults in the Portuguese national dietary survey (IAN-AF 2015-2016; age: 3-84 y; n = 5005). The tiers considered were the following: Tier 2.1 represents the most conservative tier, in which all foods reported were matched with the respective maximum permitted levels (MPLs); in Tier 2.2, the MPLs were attributed only to the foods for which the brand's label information identified the presence of an added NNIS; finally, Tier 3 was identical to Tier 2.2, but analytical NNIS occurrence data were used, instead of MPLs. The usual exposure of the Portuguese population to each NNIS was very low in all tiers across all age groups, as was the estimated prevalence of exposure above the acceptable daily intake. Soft drinks were the main source of exposure for most sweeteners, and acesulfame K and aspartame were the most consumed NNIS. The odds of exposure to at least one NNIS were higher in more highly educated adults and elderly, obese elderly, women, and people with lower healthy diet scores. The estimated risk of exceeding the safety levels of NNIS intake was very low in all evaluated population groups, even when considering the most conservative approach.

Associated factors to the consumption of ultra-processed foods and its relation with dietary sources in Portugal.

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 (-females: 192, 95 % confidence interval (CI): 135, 249; -males: 327, 95 % CI: 277, 377)). A lower educational level was associated with lower UPF consumption (-females: -63; 95 % CI: -91, -34; -males: -68; 95 % CI: -124, -12). Also, a lower UPF consumption was observed in married males/couples compared to singles (: -48, 95 % CI: -96, -1). Furthermore, female current/former smokers were associated with a higher UPF consumption v. never smokers (: 79, 95 % CI: 41, 118; : 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.

Energy intake misreport: how different methods affect its prevalence and nutrient intake estimates.

BACKGROUND: Although different methods for the evaluation of energy intake (EI) misreport have been described, it is unclear which one is the most appropriate. AIM: To assess the performance of these methods in the prevalence of EI misreports and accuracy of nutrient intake estimates. METHODS: Reports of 3,639 adults from the Portuguese National Food, Nutrition and Physical Activity Survey 2015-2016 were classified using univariate (Willett; interquartile range) and multivariate (Goldberg; predicted total energy expenditure [pTEE], testing different standard deviations [SD]) methods. Self-reported intakes were compared to their respective estimates by urinary excretion in a sub-sample of 80. The effect of the exclusion of misreporters on nutrient estimates was assessed by the differences in linear regression coefficients between plausible and total sample. RESULTS: The highest prevalence of EI misreport was observed using pTEE 1SD (63.9%). Differences in the associations between nutrient self-reported intake and estimated intake using urinary biomarkers were verified with misreporters' exclusion by pTEE 1SD method (ß-protein = 0.209; 95% CI = 0.074-0.529; ß-potassium = 0.276; 95% CI = 0.060-0.560) and Goldberg 2SD (ß-protein = 0.080; 95% CI = 0.025-0.235; ß-potassium = 0.106; 95% CI = -0.048-0.246). CONCLUSIONS: Multivariate methods lead to a higher prevalence of misreports and larger differences in nutrient estimates. The application of the pTEE 1SD and Goldberg 2SD methods resulted in more accurate nutrient estimates.

Ultra-Processed Food Availability and Noncommunicable Diseases: A Systematic Review.

Ultra-processed food (UPF) can be harmful to the population's health. To establish associations between UPF and health outcomes, food consumption can be assessed using availability data, such as purchase lists or household budget surveys. The aim of this systematic review was to search studies that related UPF availability with noncommunicable diseases or their risk factors. PRISMA guidelines were used. Searches were performed in PubMed, EBSCO, Scopus and Web of Science in February 2021. The search strategy included terms related to exposure (UPF) and outcomes (noncommunicable diseases and their risk factors). Studies that assessed only food consumption at an individual level and did not present health outcomes were excluded. Two reviewers conducted the selection process, and a third helped when disagreement occurred. The Newcastle-Ottawa Scale was used to assess the studies' quality; 998 records were analyzed. All 11 eligible studies were ecological and assessed overweight and obesity as a health outcome, only one showed no positive association with UPF availability. Two studies included the prevalence of diabetes as an outcome, however no significant association was found with UPF availability. Studies relating UPF availability and health outcomes are focused on overweight and obesity. It is necessary to further explore the relationship between other health outcomes and UPF availability using purchase or sales data.

Validation of a new software eAT24 used to assess dietary intake in the adult Portuguese population.

OBJECTIVE: The aim of the current study was to evaluate the accuracy of the new software eAT24 used to assess dietary intake in the National Food, Nutrition and Physical Activity Survey (IAN-AF) against urinary biomarkers: N (nitrogen), K (potassium) and Na (sodium). DESIGN: We conducted a cross-sectional study. Two non-consecutive 24-h dietary recalls (24-HDR) were applied, and a 24-h urine sample was collected. We examined differences between estimates from dietary and urine measures, Pearson correlation coefficients were calculated and the Bland-Altman plots were drawn. Multiple linear regression was used to evaluate the factors associated with the difference between estimates. SETTING: Sub-sample from the Portuguese IAN-AF sampling frame. PARTICIPANTS: Ninety-five adults (men and women) aged 18-84 years. RESULTS: The estimated intake calculated using the dietary recall data was lower than that estimated from urinary excretion for the three biomarkers studied (protein 94·3 v. 100·4 g/d, K 3212 v. 3416 mg/d and Na 3489 v. 4003 mg/d). Considering 2 d of recall, the deattenuated correlation coefficients were 0·33, 0·64 and 0·26 for protein, K and Na, respectively. For protein, differences between dietary and urinary estimates varied according to BMI (ß = -1·96, P = 0·017). The energy intake and 24-h urine volume were significantly associated with the difference between estimates for protein (ß = 0·03, P < 0·001 and ß = -0·02, P = 0·002, respectively), K (ß = 0·71, P < 0·001 and ß = -0·42, P = 0·040, respectively) and Na (ß = 1·55, P < 0·001 and ß = -0·81, P = 0·011, respectively). CONCLUSIONS: The new software eAT24 performed well in estimating protein and K intakes, but lesser so in estimating Na intake, using two non-consecutive 24-HDR.

Characterizing energy intake misreporting and its effects on intake estimations, in the Portuguese adult population.

OBJECTIVE: The aim of the current study was to evaluate energy intake misreporting prevalence, its associated factors and its effects on nutrient intake, in the Portuguese population aged from 18 to 84 years. DESIGN: Cross-sectional study. SETTING: Portugal. SUBJECTS: Adults participants from the National Food, Nutrition and Physical Activity Survey, IAN-AF, 2015-2016, who provided two complete 24 h dietary recall and complete covariate information. RESULTS: Under, plausible and over-reporters were identified according to the Goldberg method. Total misreporting prevalence was 29·9 %, being 28·5 % of under-reporting and 1·4 % of over-reporting. The current study found higher odds of being classified as an under-reporter especially in participants with higher BMI and in those who self-reported health perception status as non-favourable. Energy intake estimation increases by 853.5 kJ/d (204 kcal/d) when misreporters are excluded, and the same tendency is observed for macro and micronutrients. It is worth mentioning that the prevalence of inadequacy for protein intake decreases by about 5 % when considering plausible reporters. CONCLUSIONS: The exclusion of misreporters has a small impact on the crude energy and nutrient estimates as well as on assessing the contribution of nutrients to total energy intake. However, a moderate impact was observed in the estimation of nutrient inadequacy prevalence.

Perfil do atendimento no SUS às mulheres com câncer de mama atendidas na cidade do Rio de Janeiro: relacionando os sistemas de informações SIH e APAC-SIA / Evaluation of breast cancer care in the city of Rio de Janeiro

O câncer de mama é a neoplasia mais freqüente entre as mulheres e a principal causa óbito por neoplasia no país e no mundo. A detecção precoce da doença por meio da mamografia tem-se mostrado capaz de reduzir a incidência e a mortalidade em vários países. Objetivo: o objetivo deste estudo foi identificar o perfil de atenção ao câncer de mama em unidades do SUS no Município do Rio de Janeiro. Método: a população de estudo foi formada por mulheres com diagnóstico de câncer de mama submetidas a procedimentos hospitalares e ou ambulatoriais (radioterapia e quimioterapia) no âmbito do SUS, na cidade do Rio de Janeiro. Foram analisadas as informações das Autorizações de Internações Hospitalares e das Autorizações de Procedimentos de Alta Complexidade em Oncologia, referentes ao período de 2000 a 2003 (N=10730). A análise foi feita para cada um dos subgrupos de casos identificados: apenas na base hospitalar (N=2529), apenas na ambulatorial (N=4060), em ambas as bases (N=4141), e para o subgrupo de pacientes submetidos a tratamento cirúrgico para câncer de mama associado à terapia ambulatorial (N=2453). Foram avaliados variáveis relacionadas aos esquemas terapêuticos registrados, estádio da doença, desfechos observados, idade e tempo entre os tratamentos hospitalar e ambulatorial. Os resultados são apresentados sob a forma de proporções (variáveis categóricas) e quartis da distribuição (variáveis contínuas). Resultados: as mulheres de 40 a 69 anos representaram 67,1 por cento do grupo total. Apenas 10 por cento apresentavam-se no estádio 0-1 O tratamento cirúrgico representou mais da metade dos procedimentos hospitalares realizados, no geral (54,9 por cento) e, em especial, para o grupo com hospitalização mais tratamento ambulatorial (59,2 por cento). O tempo mediano entre a cirurgia e o tratamento ambulatorial foi de dois meses para os casos com doença no estádio 1. Conclusões: os resultados mostram que, nos casos identificados, os atendimentos à doença concentram-s...