Consumption of low-calorie sweeteners: findings from the Campinas Nutrition and Health Survey.

We used data from the Campinas Health Survey (ISACamp 2014/15) and the Food Consumption and Nutritional Status Survey (ISACamp-Nutri 2015/16) to estimate the prevalence of the consumption of foods and beverages that contain low-calorie sweeteners (LCS) by individuals ≥ 10 years to estimate the dietary exposure of the population to high levels of LCS. We first estimated the prevalence of consuming LCS-containing foods and beverages and identified the top sources of LCS consumption. We then verified whether the prevalence of consumption varied according to individual-level characteristics or the presence of obesity and diabetes. Finally, we estimated the population dietary exposure to high levels of LCS and compared it with the acceptable daily intake (ADI) levels. Over 40 % of the study population consumed at least one LCS-containing food or beverage. Sweetened beverages, tabletop sweeteners and dairy beverages were the top contributors to the consumption of LCS. Among all age groups, education levels, and income levels, the consumption of LCS-containing foods and beverages ranged from 35 % to 55 %. The prevalence was only slightly greater among higher income 40-59-year-olds than among other income groups and was not higher among individuals with obesity or diabetes. Although dietary exposure to LCS did not exceed the ADI levels, we identified several limitations in our ability to measure exposure to high levels of LCS. Because of these challenges and the unclear evidence linking LCS to better health outcomes, the consumption of LCS-containing foods and beverages should be closely monitored.

Vitamin A deficiency and associated risk factors in children aged 12-59 months living in poorest municipalities in the South Region of Brazil.

OBJECTIVE: To estimate the prevalence of vitamin A deficiency (VAD) in children and associated risk factors. DESIGN: Analysis of data from a cross-sectional multicentre study performed in the primary care units of the municipalities from January to June 2015. The children's legal guardians answered a socio-economic questionnaire, and the children's blood samples were obtained by venipuncture. Plasma retinol was determined by HPLC. Plasma retinol values of <0·70 µmol/l were considered VDA. Poisson multiple regression with robust variance was used. Values of P < 0·05 were considered significant. The data were analysed in the SPSS software, 21.0. SETTING: Forty-eight poorest municipalities in the South Region of Brazil. PARTICIPANTS: Children (n 1503) aged 12-59 months. RESULTS: The prevalence of VAD in the sample was 1·9 % (95 % CI (0·5, 6·8)). The following risk factors were associated with the outcome in the final explanatory model: family received Bolsa Familia program benefits (PR = 3·19; 95 % CI (1·69, 6·02)), child was not being breastfed (PR = 5·22; 95 % CI (1·68, 16·18)) and stunting (PR = 4·75; 95 % CI (2·10, 10·73)). CONCLUSIONS: VAD did not represent a public health problem for children living in socio-economically vulnerable municipalities in the South Region of Brazil, suggesting a new panorama of this nutritional deficiency even in regions of low socio-economic conditions in these three states. Thus, in view of the current nutritional transition scenario, it is necessary to continuously monitor and improve public policies related to vitamin A supplementation in the country.

Comparison of meal patterns across five European countries using standardized 24-h recall (GloboDiet) data from the EFCOVAL project.

PURPOSE: To examine meal patterns in terms of frequency and circadian timing of eating in five European countries participating in the EFCOVAL project. METHODS: In this cross-sectional study, 559 men and women, aged 44-65 years, were recruited in Belgium, the Czech Republic, France (Southern part), The Netherlands, and Norway. Dietary data were collected by trained interviewers using standardized computerised 24-h recalls (GloboDiet). Means ± SE of (1) eating frequency, (2) overnight fasting, and (3) time between eating occasions were estimated by country using means from 2 days of 24-h recalls. We also estimated the frequency of eating occasions per hour by country as well as the proportional energy intake of meals/snacks by country compared to the mean energy intake of all countries. RESULTS: Mean eating frequency ranged from 4.3 times/day in France to 7.1 times/day in The Netherlands (p < 0.05). Mean overnight fasting was shortest in the Netherlands (9.2 h) and longest in Czech Republic (10.9 h) (p < 0.05). Mean time between single eating occasions was shortest in The Netherlands (2.4 h) and longest in France (4.3 h) (p < 0.05). Different patterns of energy intake by meals and snacks throughout the day were observed across the five countries. CONCLUSIONS: We observed distinct differences in meal patterns across the five European countries included in the current study in terms of frequency and circadian timing of eating, and the proportion of energy intake from eating occasions.

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.

A fuzzy logic-based tool to assess beef cattle ranching sustainability in complex environmental systems.

One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. In order to assess the sustainability of beef ranching in complex and uncertain tropical environment systems this paper describes a decision support system based on fuzzy rule-approach, the Sustainable Pantanal Ranch (SPR). This tool was built by a set of measurements and indicators integrated by fuzzy logic to evaluate the attributes of the three dimensions of sustainability. Indicators and decision rules, as well as scenario evaluations, were obtained from workshops involving multi-disciplinary team of experts. A Fuzzy Rule-Based System (FRBS) was developed to each attribute, dimension and general index. The essential parts of the FRBS are the knowledge database, rules and the inference engine. The FuzzyGen and WebFuzzy tools were developed to support the FRBS and both showed efficiency and low cost for digital applications. The results of each attribute, dimension and index were presented as radar graphs, showing the individual value (0-10) of each indicator. In the validation process using the WebFuzzy, different combinations of indicators were made for each attribute index to show the corresponding output, and which confirm the feasibility and usability of the tool.

Comparison of different approaches to calculate nutrient intakes based upon 24-h recall data derived from a multicenter study in European adolescents.

PURPOSE: The European "Healthy Lifestyle in Europe by Nutrition in Adolescence" (HELENA) project evaluated two different approaches to harmonize the matching procedures between 24-h recall data and food composition databases. In the first approach, the 24-h recall data were linked to the local/national food composition databases using standardized procedures, while in the second approach, the 24-h recall data were linked to the German BLS database which includes a larger food list. The aim of this paper was to compare the intakes of energy and eight nutrient components calculated via both approaches. METHODS: Two non-consecutive 24-h recalls were performed in 1268 adolescents. Energy, carbohydrates, proteins, fat, fiber, water, alcohol, calcium and vitamin C were calculated via the two approaches at individual level. Paired samples t test and Pearson's correlations were used to compare the mean intakes of energy and the eight mentioned nutrients and to investigate the possible associations between the two approaches. RESULTS: Small but significant differences were found between the intakes of energy and the eight food components when comparing both approaches. Very strong and strong correlations (0.70-0.95) were found between both methods for all nutrients. CONCLUSION: The dietary intakes obtained via the two different linking procedures are highly correlated for energy and the eight nutrients under study.

Reporting accuracy of population dietary sodium intake using duplicate 24 h dietary recalls and a salt questionnaire.

High dietary Na intake is associated with multiple health risks, making accurate assessment of population dietary Na intake critical. In the present study, reporting accuracy of dietary Na intake was evaluated by 24 h urinary Na excretion using the EPIC-Soft 24 h dietary recall (24-HDR). Participants from a subsample of the European Food Consumption Validation study (n 365; countries: Belgium, Norway and Czech Republic), aged 45-65 years, completed two 24 h urine collections and two 24-HDR. Reporting accuracy was calculated as the ratio of reported Na intake to that estimated from the urinary biomarker. A questionnaire on salt use was completed in order to assess the discretionary use of table and cooking salt. The reporting accuracy of dietary Na intake was assessed using two scenarios: (1) a salt adjustment procedure using data from the salt questionnaire; (2) without salt adjustment. Overall, reporting accuracy improved when data from the salt questionnaire were included. The mean reporting accuracy was 0·67 (95 % CI 0·62, 0·72), 0·73 (95 % CI 0·68, 0·79) and 0·79 (95 % CI 0·74, 0·85) for Belgium, Norway and Czech Republic, respectively. Reporting accuracy decreased with increasing BMI among male subjects in all the three countries. For women from Belgium and Norway, reporting accuracy was highest among those classified as obese (BMI ≥ 30 kg/m2: 0·73, 95 % CI 0·67, 0·81 and 0·81, 95 % CI 0·77, 0·86, respectively). The findings from the present study showed considerable underestimation of dietary Na intake assessed using two 24-HDR. The questionnaire-based salt adjustment procedure improved reporting accuracy by 7-13 %. Further development of both the questionnaire and EPIC-Soft databases (e.g. inclusion of a facet to describe salt content) is necessary to estimate population dietary Na intakes accurately.

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.

Technological tools for assessing children's food intake: a scoping review.

Technological innovations can standardise and minimise reporting errors in dietary assessment. This scoping review aimed to summarise the characteristics of technological tools used to assess children's food intake. The review followed the Joanna Briggs Institute's manual. The main inclusion criterion was studied that assessed the dietary intake of children 0-9 years of age using technology. We also considered articles on validation and calibration of technologies. We retrieved 15 119 studies and 279 articles were read in full, after which we selected 93 works that met the eligibility criteria. Forty-six technologies were identified, 37 % of which had been developed in Europe and 32⋅6 % in North America; 65⋅2 % were self-administered; 27 % were used exclusively at home; 37 % involved web-based software and more than 80 % were in children over 6 years of age. 24HR was the most widely used traditional method in the technologies (56⋅5 %), and 47⋅8 % of the tools were validated. The review summarised helpful information for studies on using existing tools or that intend to develop or validate tools with various innovations. It focused on places with a shortage of such technologies.

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.

Dietary exposure to food azo-colours in a sample of pre-school children from Southern Brazil.

The dietary exposure of six food azo-colours was assessed in a sample of pre-schoolers from Guaratuba-Paraná, Brazil. Consumption data of 323 children aged 2 to 5 years was collected through 3-day food records. Dietary exposure, is expressed by milligrams of food colour by kilogram of body weight per day, as compared to the Acceptable Daily Intake (ADI). Three exposure scenarios were developed to account for uncertainties around consumption estimates. Intakes of Amaranth (INS 123) described in means, 50th and 95th percentiles exceeded ADI levels in the two most conservative scenarios, with the highest percentiles exceeding about four times the ADI. High intakes of Sunset Yellow FCF (INS 110) were also observed, of up to 85% of the ADI in the worst-case scenario. Findings suggest high exposure levels to azo-dyes in the survey population, with children likely exceeding the ADI for Amaranth (INS 123) and concerns for Sunset Yellow FCF (INS 110). Major food contributors were beverages (juice powders and soft drinks), dairy and sweets. Further studies on dietary exposure assessment are needed at the national level. The authors highlight the need of controlling the use of such additives through national policies that are aligned with the consumption patterns observed in the country.

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.

Trends of breastfeeding indicators in Brazil from 1996 to 2019 and the gaps to achieve the WHO/UNICEF 2030 targets.

BACKGROUND: The comprehension of breastfeeding patterns and trends through comparable indicators is essential to plan and implement public health policies. OBJECTIVE: To evaluate the trends of breastfeeding indicators in Brazil from 1996 to 2019 and estimate the gap to achieve the WHO/UNICEF 2030 targets in children under 5 years. METHODS: Microdata from two National Surveys on Demography and Health of Women and Children (PNDS-1996 and PNDS-2006) and the Brazilian National Survey on Child Nutrition-2019 were used. The indicators of early initiation of breastfeeding (EIBF), exclusive breastfeeding of infants 0-5 months of age (EBF<6 mo), continued breastfeeding at 1 year of age (CBF1yr) and CBF at 2 years of age (CBF2yr) were analysed using prevalence and 95% CI. The average annual variation and years to achieve the WHO/UNICEF 2030 targets were calculated for Brazil and the macroregions. Statistical analyses considered the survey's complex sample design for each database. RESULTS: EIBF increased from 36.3% (95% CI 33.6% to 39.0%) in 1996 to 60.9% (95% CI 56.5% to 65.3%) in 2006 (statistically significant) and 62.5% (95% CI 58.3% to 66.6%) in 2019. EBF<6 mo increased from 26.9% (95% CI 21.3% to 31.9%) in 1996 to 39.0% (95% CI 31.0% to 47.1%) in 2006 and 45.8% (95% CI 40.9% to 50.7%) in 2019 (significant increases for 1996-2019 for Brazil, Northeast and Midwest regions). CBF1yr rose from 36.6% (95% CI 30.8% to 42.4%) in 1996 to 48.7% (95% CI 38.3% to 59.0%) in 2006, and 52.1% (95% CI 45.4% to 58.9%) in 2019. CBF2yr increased from 24.7% (95% CI 19.5% to 29.9%) in 1996 to 24.6% (95% CI 15.7% to 33.5%) in 2006 and 35.5% (95% CI 30.4% to 40.6%) in 2019 (significant increase for 1996-2019). The South and Southeast regions need to double the 2019 prevalence to reach the target for the CBF1yr and CBF2yr; the Northeast and North need to increase 60% the current prevalence for the indicator of EBF<6 mo. CONCLUSION: A substantial improvement in breastfeeding indicators occurred in Brazil from 1996 to 2019, although at an insufficient rate to achieve the WHO/UNICEF 2030 targets.

Iodine Intake and its Interindividual Variability in Brazilian Pregnant Women: EMDI Brazil Study.

Data on pregnant women's iodine intake are limited in Brazil. The aim of the study was to evaluate the contribution of foods, food groups, and food subgroups to the Brazilian pregnant women's iodine intake, and identify which food items explain the interindividual variability of their intake. A cross-sectional study with food consumption data of 2247 pregnant women from 24-h recalls was developed. Food items were classified according to the FAO/WHO GIFT classification, and their contribution to iodine intake and interindividual variability was assessed by the proportion of means method and linear regression, respectively. The mean usual iodine intake was 163.1 mcg (95% CI: 162.9-163.2). The food groups "spices and condiments," "cereals and their products," and "milk and milk products"; and the food subgroups "herbs and spices," "wheat and wheat-based products," "milk: fresh and processed," "dough-based sweets," and "eggs: fresh and processed" contributed to at least 80% of the iodine intake. Of these, only the food subgroups "milk," "dough-based sweets," and "eggs" did not explain the higher proportion (> 80%) of the interindividual variability. The contribution of "salt," "white French bread," "fluid whole milk," and "rice" to the iodine intake and its interindividual variability is highlighted. This study confirms the importance of "salt" as a dietary source of iodine and that few food groups and subgroups explained the difference in the iodine intake among pregnant women. Despite that, Brazilian staple foods, such as "rice," "beans," "eggs," "milk," and "bread" were identified as important for iodine intake and could be included in nutritional guidelines targeted to Brazilian pregnant women.

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.

Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections.

Studies using 24 h urine collections need to incorporate ways to validate the completeness of the urine samples. Models to predict urinary creatinine excretion (UCE) have been developed for this purpose; however, information on their usefulness to identify incomplete urine collections is limited. We aimed to develop a model for predicting UCE and to assess the performance of a creatinine index using para-aminobenzoic acid (PABA) as a reference. Data were taken from the European Food Consumption Validation study comprising two non-consecutive 24 h urine collections from 600 subjects in five European countries. Data from one collection were used to build a multiple linear regression model to predict UCE, and data from the other collection were used for performance testing of a creatinine index-based strategy to identify incomplete collections. Multiple linear regression (n 458) of UCE showed a significant positive association for body weight (ß = 0·07), the interaction term sex × weight (ß = 0·09, reference women) and protein intake (ß = 0·02). A significant negative association was found for age (ß = -0·09) and sex (ß = -3·14, reference women). An index of observed-to-predicted creatinine resulted in a sensitivity to identify incomplete collections of 0·06 (95 % CI 0·01, 0·20) and 0·11 (95 % CI 0·03, 0·22) in men and women, respectively. Specificity was 0·97 (95 % CI 0·97, 0·98) in men and 0·98 (95 % CI 0·98, 0·99) in women. The present study shows that UCE can be predicted from weight, age and sex. However, the results revealed that a creatinine index based on these predictions is not sufficiently sensitive to exclude incomplete 24 h urine collections.

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.

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.

Development of a mobile application to assess Brazilian schoolchildren's diet: CADE - food consumption at home and at school.

The development of technologies for children's dietary assessment shows important potential for reducing the occurrence of inherent errors in traditional methods. The present study aimed to describe the development of a mobile app for the dietary assessment of Brazilian schoolchildren. The mobile app assesses schoolchildren's diet with self-report by their parents or guardians in the home environment, through multiple-pass 24-hour recall coupled with a food propensity questionnaire; and by an adult in the school environment, through a food record. The tool presents a database of food items usually consumed by Brazilian schoolchildren, including modes of preparation, probing foods and types of food quantification such as digital photos of household measurements and food portions. The CADE app (food consumption at home and at school) contains 2125 food items, 9 options for preparation methods and 18 options for probing items. There are 75 options for household measurements, also including 26 digital photos of four types of household measurements and 440 photos of portion sizes of 90 foods from the Brazilian Manual of Child Food Portion Quantification. Some innovative features include an interface to take photos of the child's meals and report seconds and leftover food consumption, besides the possibility of receiving notifications on the mobile device to remember to report the diet. The CADE app can assist the standardisation and automation of dietary data collection from schoolchildren, support food and nutrition data in childhood and promote research in nutritional epidemiology while reducing data collection costs.