Ultra-Processed Foods and Schooling Are Independently Associated with Lower Iron and Folate Consumption by Pregnant Women Followed in Primary Health Care.

Combined deficiencies of nutrients such as iron and folic acid intake during pregnancy are related to nutritional deficiencies risk, such as anemia. The objective of this study was to analyze the association between risk factors (sociodemographic, dietary and lifestyle) and the intake of iron and folate by pregnant women followed up in Primary Health Care (PHC) in the Federal District, Brazil. A cross-sectional observational study was carried out with adult pregnant women of different gestational ages. A semi-structured questionnaire was applied by researchers trained to collect sociodemographic, economic, environmental, and health data. Two nonconsecutive 24-hour recalls (24hr) were carried out to collect data about food consumption. Multivariate linear regression models were used to analyze the association between sociodemographic and dietary risk factors and the consumption of iron and folate. The mean daily energy intake was 1726 kcal (95% CI 1641-1811), with 22.4% (95% CI 20.09-24.66) derived from ultra-processed foods (UPFs). The mean iron and folate intake were 5.28 mg (95% CI 5.09-5.48) and 193.42 µg (95% CI 182.22-204.61), respectively. According to the multivariate model, the highest quintile of ultra-processed foods intake was associated with lower iron (ß = -1.15; IC 95%: -1.74; 0.55; p < 0.001) and folate intake (ß = -63.23; IC 95%: -98.32; -28.15; p < 0.001). Pregnant women with high school degree presented higher iron intake (ß = 0.74; IC 95%: 0.20; 1.28; p = 0.007) and folate intake (ß = 38.95; IC 95%: 6.96; 70.95; p = 0.017) compared to pregnant women with elementary school degree. Folate consumption was also associated with the second gestational period (ß = 39.44; IC 95%: 5.58; 73.30; p = 0.023) and pregnancy planning (ß = 26.88; IC 95%: 3.58; 50.18; p = 0.024). Further research is warranted to enhance evidence on the relationship between the role of processed foods and micronutrients intake to strengthen the nutritional quality of diet of pregnant women attended in Primary Health Care.

Diet quality and associated factors in Brazilian undergraduates during the COVID-19 pandemic.

Background: Diet quality is associated with psychobiological, psychological, biological, and physiological factors of individuals, and in the context of prolonged stress, such as the COVID-19 pandemic, it can lead to a worsening of the quality of food for undergraduates. This study aimed to analyze diet quality and associated factors in Brazilian undergraduates. Methods: Data were collected from 4,799 undergraduate students from all Brazilian regions, from August 2020 to February 2021. The online questionnaire contained socioeconomic variables, the ESQUADA scale to assess diet quality, self-referred changes in weight, the Brazilian food insecurity scale (EBIA), sleep assessment and the perceived stress scale. Unconditional multiple logistic regression analysis was performed to study variables associated with poor and very poor diet quality. Results: Most of participants presented a good diet quality (51.7%), while 9.8% had a poor or very poor diet quality and only 1.1% had an excellent diet quality. 58.2% of undergraduates reported to have an increase in weight during the pandemic and 74.3% of the students presented elevated stress during the pandemic. Logistic regressions showed students who gained weight during the pandemic presented the highest AOR = 1.56 (95% CI = 1.12-2.20) for poor or very poor diet quality. The elevated perceived stress was also associated with a higher AOR = 2.85 (95% CI = 1.71-4.74) for poor or very poor diet quality. Conclusion: Most of the studied undergraduates presented a good diet quality. Nevertheless, poor/very poor diet quality was associated with higher perceived stress and weight gain. Our study indicated that policies should beaimed at the socioeconomically most vulnerable undergraduates, those in a situation of food and nutritional insecurity, high perceived stress, and who gained weight during the pandemic.

Improving Pregnant Women's Iodine Intake Estimates and Its Prevalence of Inadequacy through the Use of Salt and Seasoning Covariates.

(1) Measuring usual iodine intake is a complex task due to the food consumption variability and its natural concentration in food. Therefore, the use of covariates to adjust statistical methods to estimate usual intake could improve the estimates obtained through dietary surveys. This study aims to evaluate the influence of salt and seasoning usage covariates on the estimates of usual iodine intake and the prevalence of its inadequacy. (2) A cross-sectional study was conducted with Brazilian pregnant women's food consumption data obtained with 24-h recall (n = 2247). The usual iodine intake was adjusted for intraindividual variability, supplement use, temporal effects, data collection methods, and sociodemographic characteristics with the tool UCD/NCI SIMPLE in the SAS software. Then, salt and seasoning usage covariates were used to adjust the distribution. The harmonized intake reference values for populations were used to assess intake adequacy. (3) The adjustments for salt and seasoning usage yielded a higher mean of usual iodine intakes. The only exception was the adjustment for the "habit of adding salt to meals after preparing/cooking", which produced a lower mean of usual intake and increased the prevalence of insufficient intake. (4) Salt and seasoning usage covariates affect the estimates evaluated. However, more studies are necessary to evaluate the influence observed.

Estimating national and subnational nutrient intake distributions of global diets.

BACKGROUND: Access to high-quality dietary intake data is central to many nutrition, epidemiology, economic, environmental, and policy applications. When data on individual nutrient intakes are available, they have not been consistently disaggregated by sex and age groups, and their parameters and full distributions are often not publicly available. OBJECTIVES: We sought to derive usual intake distributions for as many nutrients and population subgroups as possible, use these distributions to estimate nutrient intake inadequacy, compare these distributions and evaluate the implications of their shapes on the estimation of inadequacy, and make these distributions publicly available. METHODS: We compiled dietary data sets from 31 geographically diverse countries, modeled usual intake distributions for 32 micronutrients and 21 macronutrients, and disaggregated these distributions by sex and age groups. We compared the variability and skewness of the distributions and evaluated their similarity across countries, sex, and age groups. We estimated intake inadequacy for 16 nutrients based on a harmonized set of nutrient requirements and bioavailability estimates. Last, we created an R package-nutriR-to make these distributions freely available for users to apply in their own analyses. RESULTS: Usual intake distributions were rarely symmetric and differed widely in variability and skewness across nutrients and countries. Vitamin intake distributions were more variable and skewed and exhibited less similarity among countries than other nutrients. Inadequate intakes were high and geographically concentrated, as well as generally higher for females than males. We found that the shape of usual intake distributions strongly affects estimates of the prevalence of inadequate intakes. CONCLUSIONS: The shape of nutrient intake distributions differs based on nutrient and subgroup and strongly influences estimates of nutrient intake inadequacy. This research represents an important contribution to the availability and application of dietary intake data for diverse subpopulations around the world.

Relative validity and reproducibility of food frequency questionnaire for individuals on hemodialysis (NUGE-HD study).

INTRODUCTION: Adequate assessment of food intake is essential to establish the magnitude and direction of the relationship of food, nutrients, and bioactive compounds with clinical outcomes of individuals in hemodialysis. We evaluated the relative validity and reproducibility of a specific food frequency questionnaire for individuals on hemodialysis (FFQ-HD). METHODS: Eighty-two participants (57.3% male, 57.5 ± 14.4 years) from the open cohort Nutrition and Genetics in Hemodialysis Outcomes participated in this study. The relative validity of the FFQ-HD was assessed using the mean of two 24-h food recall (24hR) adjusted for within-subject variability as a reference method. We also performed Pearson correlations, and agreement between tertile, kappa statistics, and Bland-Altman scatter plots were validated. Reproducibility was assessed after 1 year using intraclass correlation coefficient (ICC). FINDINGS: Daily energy intake was not different between FFQ-HD and 24hR (mean difference of 50.1 kcal). Intake of protein, linolenic acid, fiber, phosphorus, potassium, sodium, calcium, and sugar showed a moderate correlation (r between 0.4 and 0.5) among instruments, while mean correlation coefficient was r = 0.38 to food group intake. Bland-Altman plots showed good agreement for micronutrients, phosphorus, sodium, and potassium and for the groups "flour, bread, and pasta" and "processed, canned meat, salts, and seasonings". The reproducibility of FFQ-HD for nutrients and food groups was satisfactory, reaching a maximum ICC of 0.72 and 0.59, respectively. DISCUSSION: The FFQ-HD showed moderate validity and reproducibility for calories, nutrients, and food groups of clinical and nutritional interest for HD subjects so that it can be a useful tool in epidemiological studies in this population.

Comparing Methods from the National Cancer Institute vs Multiple Source Method for Estimating Usual Intake of Nutrients in the Hispanic Community Health Study/Study of Latino Youth.

BACKGROUND: The Multiple Source Method (MSM) and the National Cancer Institute (NCI) method estimate usual dietary intake from short-term dietary assessment instruments, such as 24-hour recalls. Their performance varies according to sample size and nutrients distribution. A comparison of these methods among a multiethnic youth population, for which nutrient composition and dietary variability may differ from adults, is a gap in the literature. OBJECTIVE: To compare the performance of the NCI method relative to MSM in estimating usual dietary intakes in Hispanic/Latino adolescents. DESIGN: Data derived from the cross-sectional population-based Hispanic Community Health Study/Study of Latino Youth, an ancillary study of offspring of participants in the adult Hispanic Community Health Study/Study of Latino Youth cohort. Dietary data were obtained by two 24-hour recalls. PARTICIPANTS/SETTING: One thousand four hundred fifty-three Hispanic/Latino youth (aged 8 to 16 years) living in four urban US communities (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA) during 2012 through 2014. MAIN OUTCOME MEASURES: The NCI method and the MSM were applied to estimate usual intake of total energy, macronutrients, minerals and vitamins, added sugar, and caffeine. STATISTICAL ANALYSES: Mean, standard deviation, minimum and maximum values, coefficient of variation, variance ratio, and differences between NCI and MSM methods and the 2-day mean were estimated in several percentiles of the distribution, as well as concordance correlation coefficients and Bland-Altman plot analysis. RESULTS: The distributions of all nutrients studied were very similar between NCI and MSM. The correlation between NCI and MSM was >0.80 for all nutrients (P<0.001), except dietary cholesterol, vitamin C, and n-3 fatty acids. In individual estimations, NCI method predicted higher estimates and lower variance than the MSM. The lowest level of agreement was observed in the values at the tails of the distribution, and for nutrients with high variance ratio. CONCLUSIONS: Overall, both MSM and NCI method provided acceptable estimates of the usual intake distribution using 24-hour recall, and they better represented the usual intake compared with 2-day mean, correcting for intraindividual variability.

Perspectives from individuals with low education and interviewers using the GloboDiet 24 h recall: a qualitative study.

The perception of individuals with low education about dietary assessments is not well explored and studying this may be beneficial to improve data collection. The study builds on previous quantitative studies by providing explanations for the observed lower performance of the 24-h recall method among low-educated individuals. A qualitative study was carried out in Brazil. First, trained interviewers attended a focus group via video conference. Next, individuals with low education, defined as less than 9 years of study, participated in semi-structured face-to-face interviews. Three main themes emerged from the focus groups and were contrasted with the interviews. Summarising, the establishment of adequate communication during the interview is of utmost importance among the low-educated population. Besides, the familiarity of individuals with food and nutrition favours the report of information. Lastly, the use of photographs for food portion quantification helps the dietary assessment although further investigations to improve their use are also needed.

Method for the Development of WISH, a Globally Applicable Index for Healthy Diets from Sustainable Food Systems.

Promoting both a healthy diet and at the same time considering the environmental sustainability aspects of production and consumption of the diet are urgent global issues. We developed the WISH (World Index for Sustainability and Health) to evaluate diets for healthiness and sustainability. The WISH seeks to measure two complex multidimensional concepts, diet quality and environmental sustainability, in one scoring system. The WISH is based on the EAT-Lancet recommendations for a healthy and sustainable diet in the general population with global applicability across multiple settings. Thirteen food groups are scored between 0 and 10, based on their association with disease and impact on environmental indicators. The scoring system was applied using a dataset of duplicate 24 h dietary recalls from 396 urban Vietnamese men and women. Out of a maximum score of 130, the mean total WISH score was 46 (SD 11), and scores for the healthy and high-environmental impact sub-scores were mean 25 (11) (out of 100) and mean 26 (8) (out of 70) respectively. A higher score was observed for the less-healthy (mean 20 (2) out of 30) sub-score. Our initial analysis shows that the WISH is able to differentiate between the healthiness and the environmental sustainability of a Vietnamese diet.

Subjects' Perception in Quantifying Printed and Digital Photos of Food Portions.

Although digital photos have the potential to improve the precision of reported portions in dietary assessment, there are few studies investigating its accuracy in comparison to printed photos. The aim of this study was to evaluate the perception of adults in quantifying food portion sizes using printed and digital photos, displayed on computer-screens and tablets. In total, 1165 evaluations were performed for 60 photos of portion sizes in Brazil. Each participant (n = 58) attended two sessions in the study center, with an interval of at least one week. In each session, twelve food portions were prepared and randomly evaluated by each participant in its printed and digital forms. The mean error (difference between the estimated and true portions) was not significantly different between the printed photos (2.1 g ± 47.2) and the digital ones (-6.4 g ± 53.7). The agreement on using the printed and digital photos was 91% and 90%, respectively. Furthermore, the use of the tablet was more prone to underestimation when compared to printed and computer-screen photos (p < 0.001). Overall, participants did not present major difficulties in perceiving the portion sizes using the printed and digital photos, but the use of tablets led to less accurate results, indicating that this needs to be further evaluated.

Adapting the standardised computer- and interview-based 24 h dietary recall method (GloboDiet) for dietary monitoring in Latin America.

OBJECTIVE: The present study describes the procedure and approaches needed to adapt and harmonise the GloboDiet methodology, a computer- and interview-based 24 h dietary recall, for use in two Latin American pilot countries, Brazil and Mexico. DESIGN: About seventy common and country-specific databases on foods, recipes, dietary supplements, quantification methods and coefficients were customised and translated following standardised guidelines, starting from existing Spanish and Portuguese versions. SETTING: Brazil and Mexico. SUBJECTS: Not applicable. RESULTS: New subgroups were added into the existing common food classification together with new descriptors required to better classify and describe specific Brazilian and Mexican foods. Quantification methods were critically evaluated and adapted considering types and quantities of food consumed in these two countries, using data available from previous surveys. Furthermore, the photos to be used for quantification purposes were identified for compilation in country-specific but standardised picture booklets. CONCLUSIONS: The completion of the customisation of the GloboDiet Latin America versions in these two pilot countries provides new insights into the adaptability of this dietary international tool to the Latin American context. The ultimate purpose is to enable dietary intake comparisons within and between Latin American countries, support building capacities and foster regional and international collaborations. The development of the GloboDiet methodology could represent a major benefit for Latin America in terms of standardised dietary methodologies for multiple surveillance, research and prevention purposes.

Comparison of the ISU, NCI, MSM, and SPADE Methods for Estimating Usual Intake: A Simulation Study of Nutrients Consumed Daily.

Various methods are available for estimating usual dietary intake distributions. Hence, there is a need for simulation studies to compare them. The methods Iowa State University (ISU), National Cancer Institute (NCI), Multiple Source Method (MSM) and Statistical Program to Assess Dietary Exposure (SPADE) were previously compared in another study, but some results were inconclusive due to the small number of replications used in the simulation. Seeking to overcome this limitation, the present study used 1000 simulated samples for 12 different scenarios to compare the accuracy of estimates yielded by the aforementioned methods. The focus is on scenarios that exhibited the most uncertainty in the conclusions of the mentioned study above, i.e., scenarios with small sample sizes, skewed intake distributions, and large ratios of the between- and within-person variances. Bias was used as a measure of accuracy. For scenarios with small sample sizes (n = 150), the ISU, MSM and SPADE methods generally achieved more accurate estimates than the NCI method, particularly for the 10th and 90th percentiles. The differences between methods became smaller with larger sample sizes (n = 300 and n = 500). With few exceptions, the methods were found to perform similarly.

Comparison of two food record-based dietary assessment methods for a pan-European food consumption survey among infants, toddlers, and children using data quality indicators.

PURPOSE: We aimed (1) to describe and evaluate the "EPIC-Soft DataEntry" application developed as a user-friendly data entry tool for pan-European and national food consumption surveys among infants and children, and (2) to compare two food record-based dietary assessment methods in terms of food description and quantification using data quality indicators. EPIC-Soft DataEntry was used for both methods. METHODS: Two pilot studies were performed in both Belgium and Czech Republic in a total of 376 children (3 months to 10 year olds): one using a consecutive 3-day food diary; and the second with two non-consecutive 1-day food diaries with data entry during a completion interview. The collected dietary data were compared between the two dietary assessment methods by country and by age groups: (i) <1 year; (ii) 1-3 years; (iii) >3-10 years. RESULTS: Overall, 70% of the interviewers evaluated the work with EPIC-Soft DataEntry as easy. With both dietary assessment methods, an equally high proportion of specific food names (e.g., "yoghurt, strawberry") were reported, where only between 5 and 15% of foods were non-specified (e.g., "yoghurt, n.s."). The two 1-day food diaries yielded a higher proportion of foods with detailed description. For example, in the age category of 1-3 year olds in Belgium, for 7 out of 16 systematic questions on food description (e.g., "preservation method,") specific answers were significantly higher (all P < 0.03). The proportion of missing quantities of consumed foods was comparable between the two methods. CONCLUSIONS: The EPIC-Soft DataEntry application was positively evaluated by the majority of the interviewers. Two non-consecutive 1-day food diaries with data entry during a completion interview provide a more detailed description of consumed foods as compared with a 3-day food diary.

Quality assurance of the international computerised 24 h dietary recall method (EPIC-Soft).

The interview-administered 24 h dietary recall (24-HDR) EPIC-Soft® has a series of controls to guarantee the quality of dietary data across countries. These comprise all steps that are part of fieldwork preparation, data collection and data management; however, a complete characterisation of these quality controls is still lacking. The present paper describes in detail the quality controls applied in EPIC-Soft, which are, to a large extent, built on the basis of the EPIC-Soft error model and are present in three phases: (1) before, (2) during and (3) after the 24-HDR interviews. Quality controls for consistency and harmonisation are implemented before the interviews while preparing the seventy databases constituting an EPIC-Soft version (e.g. pre-defined and coded foods and recipes). During the interviews, EPIC-Soft uses a cognitive approach by helping the respondent to recall the dietary intake information in a stepwise manner and includes controls for consistency (e.g. probing questions) as well as for completeness of the collected data (e.g. system calculation for some unknown amounts). After the interviews, a series of controls can be applied by dietitians and data managers to further guarantee data quality. For example, the interview-specific 'note files' that were created to track any problems or missing information during the interviews can be checked to clarify the information initially provided. Overall, the quality controls employed in the EPIC-Soft methodology are not always perceivable, but prove to be of assistance for its overall standardisation and possibly for the accuracy of the collected data.

Design aspects of 24 h recall assessments may affect the estimates of protein and potassium intake in dietary surveys.

OBJECTIVE: To evaluate the impact of different modes of administration (face-to-face v. telephone), recall days (first v. second), days of the week (weekday v. weekend) and interview days (1 d later v. 2 d later) on bias in protein and K intakes collected with 24 h dietary recalls (24-HDR). DESIGN: Two non-consecutive 24-HDR (collected with standardised EPIC-Soft software) were used to estimate protein and K intakes by a face-to-face interview at the research centres and a telephone interview, and included all days of the week. Two 24 h urine collections were used to determine biomarkers of protein and K intake. The bias in intake was defined as the ratio between the 24-HDR estimate and the biomarker. SETTING: Five centres in Belgium, Czech Republic, France, the Netherlands and Norway in the European Food Consumption Validation (EFCOVAL) study. SUBJECTS: About 120 adults (aged 45-65 years) per centre. RESULTS: The bias in protein intake in the Czech Republic and Norway was smaller for telephone than face-to-face interviews (P = 0·01). The second 24-HDR estimates of protein intake in France and K intake in Belgium had a larger bias than the first 24-HDR (P = 0·01 and 0·04, respectively). In the Czech Republic, protein intake estimated during weekends and K intake estimated during weekdays had a larger bias than during other days of the week (P = 0·01). In addition, K intake collected 2 d later in the Czech Republic was likely to be overestimated. CONCLUSIONS: The biases in protein and K intakes were comparable between modes of administration, recall days, days of the week and interview days in some, but not all, study centres.

Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.

PURPOSE: We investigated whether group-level bias of a 24-h recall estimate of protein and potassium intake, as compared to biomarkers, varied across European centers and whether this was influenced by characteristics of individuals or centers. METHODS: The combined data from EFCOVAL and EPIC studies included 14 centers from 9 countries (n = 1,841). Dietary data were collected using a computerized 24-h recall (EPIC-Soft). Nitrogen and potassium in 24-h urine collections were used as reference method. Multilevel linear regression analysis was performed, including individual-level (e.g., BMI) and center-level (e.g., food pattern index) variables. RESULTS: For protein intake, no between-center variation in bias was observed in men while it was 5.7% in women. For potassium intake, the between-center variation in bias was 8.9% in men and null in women. BMI was an important factor influencing the biases across centers (p < 0.01 in all analyses). In addition, mode of administration (p = 0.06 in women) and day of the week (p = 0.03 in men and p = 0.06 in women) may have influenced the bias in protein intake across centers. After inclusion of these individual variables, between-center variation in bias in protein intake disappeared for women, whereas for potassium, it increased slightly in men (to 9.5%). Center-level variables did not influence the results. CONCLUSION: The results suggest that group-level bias in protein and potassium (for women) collected with 24-h recalls does not vary across centers and to a certain extent varies for potassium in men. BMI and study design aspects, rather than center-level characteristics, affected the biases across centers.

Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres--results from the European Food Consumption Validation (EFCOVAL) study.

The use of two non-consecutive 24 h recalls using EPIC-Soft for standardised dietary monitoring in European countries has previously been proposed in the European Food Consumption Survey Method consortium. Whether this methodology is sufficiently valid to assess nutrient intake in a comparable way, among populations with different food patterns in Europe, is the subject of study in the European Food Consumption Validation consortium. The objective of the study was to compare the validity of usual protein and K intake estimated from two non-consecutive standardised 24 h recalls using EPIC-Soft between five selected centres in Europe. A total of 600 adults, aged 45-65 years, were recruited in Belgium, the Czech Republic, France, The Netherlands and Norway. From each participant, two 24 h recalls and two 24 h urines were collected. The mean and distribution of usual protein and K intake, as well as the ranking of intake, were compared with protein and K excretions within and between centres. Underestimation of protein (range 2-13%) and K (range 4-17%) intake was seen in all centres, except in the Czech Republic. We found a fair agreement between prevalences estimated based on the intake and excretion data at the lower end of the usual intake distribution (< 10% difference), but larger differences at other points. Protein and K intake was moderately correlated with excretion within the centres (ranges = 0·39-0·67 and 0·37-0·69, respectively). These were comparable across centres. In conclusion, two standardised 24 h recalls (EPIC-Soft) appear to be sufficiently valid for assessing and comparing the mean and distribution of protein and K intake across five centres in Europe as well as for ranking individuals.