The National Health and Nutrition Examination Survey (NHANES), 2021-2022: Adapting Data Collection in a COVID-19 Environment.

The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting data through interviews, standard exams, and biospecimen collection. Because of the COVID-19 pandemic, NHANES data collection was suspended, with more than a year gap in data collection. NHANES resumed operations in 2021 with the NHANES 2021-2022 survey, which will monitor the health and nutritional status of the nation while adding to the knowledge of COVID-19 in the US population. This article describes the reshaping of the NHANES program and, specifically, the planning of NHANES 2021-2022 for data collection during the COVID-19 pandemic. Details are provided on how NHANES transformed its participant recruitment and data collection plans at home and at the mobile examination center to safely collect data in a COVID-19 environment. The potential implications for data users are also discussed. (Am J Public Health. 2021;111(12):2149-2156. https://doi.org/10.2105/AJPH.2021.306517).

Food insecurity measurement and prevalence estimates during the COVID-19 pandemic in a repeated cross-sectional survey in Mexico.

OBJECTIVE: To validate the telephone modality of the Latin American and Caribbean Food Security Scale (ELCSA) included in three waves of a phone survey to estimate the monthly household food insecurity prevalence during the COVID-19 pandemic in Mexico. DESIGN: We examined the reliability and internal validity of the ELCSA scale in three repeated waves of cross-sectional surveys with Rasch models. We estimated the monthly prevalence of food insecurity in the general population and in households with and without children and compared them with a national 2018 survey. We tested concurrent validity by testing associations of food insecurity with socio-economic status and anxiety. SETTING: ENCOVID-19 is a monthly telephone cross-sectional survey collecting information on the well-being of Mexican households during the pandemic lockdown. Surveys used probabilistic samples, and we used data from April (n 833), May (n 850) and June 2020 (n 1674). PARTICIPANTS: Mexicans 18 years or older who had a mobile telephone. RESULTS: ELCSA had an adequate model fit and food insecurity was associated, within each wave, with more poverty and anxiety. The COVID-19 lockdown was associated with an important reduction in food security, decreasing stepwise from 38·9 % in 2018 to 24·9 % in June 2020 in households with children. CONCLUSIONS: Telephone surveys were a feasible strategy to monitor reductions in food security during the COVID-19 lockdown.

Development and validation testing of a weight management nutrition knowledge questionnaire for adults.

BACKGROUND/OBJECTIVES: Because no validated tool exists to assess nutrition knowledge regarding weight management we developed and tested the Weight Management Nutrition Knowledge Questionnaire (WMNKQ). SUBJECTS/METHODS: The questionnaire assesses nutrition knowledge in these categories: energy density of food, portion size/serving size, alcohol and sugar sweetened beverages, how food variety affects food intake, and reliable nutrition information sources. In total 60 questions were reviewed by 6 experts for face validity and quantitative analysis was used to assess item difficulty, item discrimination, internal consistency, inter-item-correlation, test-retest reliability, construct validity, criterion validity, and convergent validity. RESULTS: The final WMNKQ contained 43 items. Experts removed 3 of the original 60 questions and modified 41. Eighteen items did not meet criteria for item difficulty, item discrimination, and/or inter-item correlation; 4 were retained. The WMNKQ met criteria for internal consistency (Cronbach's alpha = 0.88), reliability (test-retest correlation ρ = 0.90, P < 0.0001), construct validity (known groups comparison) - dietitians scored 16% better (p < 0.0001) than information technology workers, and criterion validity (pre- to post-intervention improvement in knowledge scores = 11.2% (95% CI 9.8-12.5, p < 0.0001)). Participants younger than age 55 scored significantly better than those over age 55 (convergent validity). CONCLUSIONS: The WMNKQ measures how well nutrition principles of weight management are understood.

A cultural adaptation and validation of a child eating behaviour measure in a low- and middle-income country.

OBJECTIVE: The Child Eating Behaviour Questionnaire (CEBQ), a widely used instrument that has been validated mostly in high-income countries, has limitations in its factorial validity when used among different cultures. This study examines whether the CEBQ instrument is culturally appropriate and valid to be used in a low- and middle-income country (LMIC) in a setting where child undernutrition remains prevalent. DESIGN: The study employed a qualitative process to validate the content of items relative to the culture and setting, which was followed by a survey to test the psychometric properties of the instrument. Tests of factorial validity, convergent validity and reliability were performed. SETTING: Three different socio-economic settings of Yogyakarta, Indonesia. PARTICIPANTS: The participants of this study were mothers of children aged 25-60 months. In-depth interviews were conducted with twenty-four mothers and the questionnaire validation process involved 238 mothers in the survey. RESULTS: A Confirmatory Factor Analysis model with eight subscales provided the best fit (root-mean-square error of approximation = 0·048 (90 % CI 0·040, 0·057); Comparative Fit Index = 0·95 and Tucker Lewis Index = 0·95) after three new items and eight items from the original CEBQ were removed. Convergent validity with child's weight was found for two subscales, slowness in eating and satiety responsiveness. Reliability measured using Cronbach's alpha provided values between 0·62 and 0·78. CONCLUSION: The original eight-factor structure of the CEBQ showed adequate content validity and provided factorial, discriminant and convergent validity with mothers of preschool children living in a LMIC where child nutrition remains a significant public health issue.

Accuracy of Physical Function Questions to Predict Moderate-Vigorous Physical Activity as Measured by Hip Accelerometry.

BACKGROUND: Functional capacity assessment is a core component of current perioperative cardiovascular evaluation and management guidelines for noncardiac surgery. The authors investigated the ability of standardized physical function questions to predict whether participants engaged in moderate physical activity as measured by hip accelerometers. METHODS: Participant responses to physical functioning questions and whether they engaged in moderate physical activity were extracted from the National Health and Nutrition Examination Survey (2003 to 2004 and 2005 to 2006). Physical activity intensity was measured using hip accelerometers. Adult participants with at least one Revised Cardiac Risk Index condition were included in the analysis. Standardized physical function questions were evaluated using a classification and regression tree analysis. Training and test datasets were randomly generated to create and test the analysis. RESULTS: Five hundred and twenty-two participants were asked the physical functioning questions and 378 of 522 (72.4%) had a bout of moderate-vigorous activity. Classification and regression tree analysis identified a "no difficulty" response to walking up 10 stairs and the ability to walk two to three blocks as the most sensitive questions to predict the presence of a 2-min bout of moderate activity. Participants with positive responses to both questions had a positive likelihood ratio of 3.7 and a posttest probability greater than 90% of a 2-min bout of moderate-vigorous activity. The sensitivity and specificity of positive responses to physical functioning questions in the pruned tree were 0.97 (95% CI, 0.94 to 0.98) and 0.16 (95% CI, 0.10 to 0.23) for training data, and 0.88 (95% CI, 0.75 to 0.96) and 0.10 (95% CI, 0.00 to 0.45) for the test data. Participants with at least one 2-min bout of moderate activity had a greater percentage of overall daily active time (35.4 ± 0.5 vs. 26.7 ± 1.2; P = 0.001) than those without. CONCLUSIONS: Standardized physical function questions are highly sensitive but poorly specific to identify patients who achieve moderate physical activity. Additional strategies to evaluate functional capacity should be considered.

Appraisal of short and long versions of the Nutrition Environment Measures Survey (NEMS-S and NEMS-R) in Australia.

OBJECTIVE: Research has begun to take a more ecological view of eating behaviour, examining multiple levels of influence: personal, social and environmental. The food environment is a major influence on eating behaviour, attracting the attention of researchers who have measured it in a number of ways. The present paper examines the short-form version, in comparison to the long-form version, of the Nutrition Environment Measures Survey (NEMS) - an observational food outlet audit tool. DESIGN: Both the short-form and long-form were examined to qualitatively appraise the dimensions of the food environment assessed by each measure. Data from 135 food outlets in Australia were then used to compare results obtained using the short-form with the results from the long-form method, to consider the utility of the short-form measure. SETTING: The retail food environment in Australia.ParticipantsOne hundred and thirty-five food outlets in Australia. RESULTS: Results indicate that the short-form predominantly assessed availability of healthful foods (one aspect of the food environment). Several critical dimensions of the food environment known to influence eating behaviour were not assessed. For this data set, the short-form produced scores inconsistent with the longer version of the measure, delivering inflated estimates for stores and deflated estimates for restaurants. CONCLUSIONS: Scores between the long-form and short-form versions were not comparable in this Australian study. Further development of food environment measures is recommended and must balance instrument brevity with the need to accurately capture important aspects of the food environment known to influence eating behaviour.

Prevalence thresholds for wasting, overweight and stunting in children under 5 years.

OBJECTIVE: Prevalence ranges to classify levels of wasting and stunting have been used since the 1990s for global monitoring of malnutrition. Recent developments prompted a re-examination of existing ranges and development of new ones for childhood overweight. The present paper reports from the WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring. DESIGN: Thresholds were developed in relation to sd of the normative WHO Child Growth Standards. The international definition of 'normal' (2 sd below/above the WHO standards median) defines the first threshold, which includes 2·3 % of the area under the normalized distribution. Multipliers of this 'very low' level (rounded to 2·5 %) set the basis to establish subsequent thresholds. Country groupings using the thresholds were produced using the most recent set of national surveys. SETTING: One hundred and thirty-four countries. SUBJECTS: Children under 5 years. RESULTS: For wasting and overweight, thresholds are: 'very low' (≈6 times 2·5 %). For stunting, thresholds are: 'very low' (≈12 times 2·5 %). CONCLUSIONS: The proposed thresholds minimize changes and keep coherence across anthropometric indicators. They can be used for descriptive purposes to map countries according to severity levels; by donors and global actors to identify priority countries for action; and by governments to trigger action and target programmes aimed at achieving 'low' or 'very low' levels. Harmonized terminology will help avoid confusion and promote appropriate interventions.

Modifying the Environment and Policy Assessment and Observation (EPAO) to better capture feeding practices of family childcare home providers.

OBJECTIVE: To describe the modification and validation of an existing instrument, the Environment and Policy Assessment and Observation (EPAO), to better capture provider feeding practices. DESIGN: Modifications to the EPAO were made, validity assessed through expert review, pilot tested and then used to collect follow-up data during a two-day home visit from an ongoing cluster-randomized trial. Exploratory factor analysis investigated the underlying factor structure of the feeding practices. To test predictive validity of the factors, multilevel mixed models examined associations between factors and child's diet quality as captured by the Healthy Eating Index-2010 (HEI-2010) score (measured via the Dietary Observation in Childcare Protocol). SETTING: Family childcare homes (FCCH) in Rhode Island and North Carolina, USA.ParticipantsThe modified EPAO was pilot tested with fifty-three FCCH and then used to collect data in 133 FCCH. RESULTS: The final three-factor solution ('coercive control and indulgent feeding practices', 'autonomy support practices', 'negative role modelling') captured 43 % of total variance. In multilevel mixed models adjusted for covariates, 'autonomy support practices' was positively associated with children's diet quality. A 1-unit increase in the use of 'autonomy support practices' was associated with a 9·4-unit increase in child HEI-2010 score (P=0·001). CONCLUSIONS: Similar to the parenting literature, constructs which describe coercive controlling practices and those which describe autonomy-supportive practices emerged. Given that diets of pre-schoolers in the USA remain suboptimal, teaching childcare providers about supportive feeding practices may help improve children's diet quality.

How to use replicate weights in health survey analysis using the National Nutrition and Physical Activity Survey as an example.

OBJECTIVE: To conduct nutrition-related analyses on large-scale health surveys, two aspects of the survey must be incorporated into the analysis: the sampling weights and the sample design; a practice which is not always observed. The present paper compares three analyses: (1) unweighted; (2) weighted but not accounting for the complex sample design; and (3) weighted and accounting for the complex design using replicate weights. DESIGN: Descriptive statistics are computed and a logistic regression investigation of being overweight/obese is conducted using Stata. SETTING: Cross-sectional health survey with complex sample design where replicate weights are supplied rather than the variables containing sample design information. PARTICIPANTS: Responding adults from the National Nutrition and Physical Activity Survey (NNPAS) part of the Australian Health Survey (2011-2013). RESULTS: Unweighted analysis produces biased estimates and incorrect estimates of se. Adjusting for the sampling weights gives unbiased estimates but incorrect se estimates. Incorporating both the sampling weights and the sample design results in unbiased estimates and the correct se estimates. This can affect interpretation; for example, the incorrect estimate of the OR for being a current smoker in the unweighted analysis was 1·20 (95 % CI 1·06, 1·37), t= 2·89, P = 0·004, suggesting a statistically significant relationship with being overweight/obese. When the sampling weights and complex sample design are correctly incorporated, the results are no longer statistically significant: OR = 1·06 (95 % CI 0·89, 1·27), t = 0·71, P = 0·480. CONCLUSIONS: Correct incorporation of the sampling weights and sample design is crucial for valid inference from survey data.

Estimating Usual Dietary In take From National Health and Nut rition Examination Survey Data Using the National Cancer Institute Method.

Dietary recommendations are intended to be met based on dietary intake over long periods, as associations between diet and health result from habitual intake, not a single eating occasion or day of intake. Measuring usual intake directly is impractical for large population-based surveys due to the respondent burden associated with reporting habitual intake over longer periods. Therefore, analytical techniques were developed to estimate usual intake using as few as 2 days of 24-hour dietary recall data. With National Health and Nutrition Examination Survey (NHANES) data, this report demonstrates how to estimate usual intake using the National Cancer Institute (NCI). This report demonstrates how to estimate the usual intake of nutrients consumed daily or episodically using NHANES data. Means, percentiles, and the percentages above or below specified Dietary Reference Intake (DRI) values for given day, within-person mean (WPM), and estimates of usual intake are presented. Consistent with previous analyses, mean intakes were similar across methods. However, the distributions estimated by nonusual intake methods were wider compared with the NCI Method, which can lead to misclassification of the percentage of the population above or below certain DRIs. Use of NHANES data to examine the proportion of the population at risk of insufficiency or excess of certain nutrients, with methods like given day and WPM that do not address within-person variation, may lead to biased estimates.

National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014.

This report describes the methods used to create NHANES 2011-2014 sample weights and variance units for the public-use data files, including sample weights for selected subsamples, such as the fasting subsample. The impacts of sample design changes on estimation for NHANES 2011-2014 and the addition of the NHANES National Youth Fitness Survey (NNYFS) 2012 are described. Approaches that data users can employ to modify sample weights when combining survey cycles or when combining subsamples are also included.

Performance of the 2015 US Preventive Services Task Force Screening Criteria for Prediabetes and Undiagnosed Diabetes.

BACKGROUND: In 2015, The US Preventive Services Task Force (USPSTF) recommended screening for prediabetes and undiagnosed diabetes (collectively called dysglycemia) among adults aged 40-70 years with overweight or obesity. The recommendation suggests that clinicians consider screening earlier in people who have other diabetes risk factors. OBJECTIVE: To compare the performance of limited and expanded screening criteria recommended by the USPSTF for detecting dysglycemia among US adults. DESIGN: Cross-sectional analysis of survey and laboratory data collected from nationally representative samples of the civilian, noninstitutionalized US adult population. PARTICIPANTS: A total of 3643 adults without diagnosed diabetes who underwent measurement of hemoglobin A1c (A1c), fasting plasma glucose (FPG), and 2-h plasma glucose (2-h PG). MAIN MEASURES: Screening eligibility according to the limited criteria was based on age 40 to 70 years old and overweight/obesity. Screening eligibility according to the expanded criteria was determined by meeting the limited criteria or having ≥ 1 of the following risk factors: family history of diabetes, history of gestational diabetes or polycystic ovarian syndrome, and non-white race/ethnicity. Dysglycemia was defined by A1c ≥ 5.7%, FPG ≥ 100 mg/dL, and/or 2-h PG ≥ 140 mg/dL. KEY RESULTS: Among the US adult population without diagnosed diabetes, 49.7% had dysglycemia. Screening based on the limited criteria demonstrated a sensitivity of 47.3% (95% CI, 44.7-50.0%) and specificity of 71.4% (95% CI, 67.3-75.2%). The expanded criteria yielded higher sensitivity [76.8% (95% CI, 73.5-79.8%)] and lower specificity [33.8% (95% CI, 30.1-37.7%)]. Point estimates for the sensitivity of the limited criteria were lower in all minority groups and significantly different for Asians compared to non-Hispanic whites [29.9% (95% CI, 23.4-37.2%) vs. 49.8% (95% CI, 45.9-53.7%); P < .001]. CONCLUSIONS: Diabetes screening that follows the limited USPSTF criteria will identify approximately half of US adults with dysglycemia. Screening other high-risk subgroups defined in the USPSTF recommendation would improve detection of dysglycemia and may reduce associated racial/ethnic disparities.

Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications.

OBJECTIVE: To assess the accuracy of nutrient intake calculations from leading nutrition tracking applications (apps). DESIGN: Nutrient intake estimates from thirty 24 h dietary recalls collected using Nutrition Data System for Research (NDSR) were compared with intake calculations from these recalls entered by the researcher into five free nutrition tracking apps. Apps were selected from the Apple App Store based on consumer popularity from the list of free 'Health and Fitness' apps classified as a nutrition tracking apps. SUBJECTS: Dietary recall data collected from thirty lower-income adults. RESULTS: Correlations between nutrient intake calculations from NDSR and the nutrition tracking apps ranged from 0·73 to 0·96 for energy and macronutrients. Correlations for the other nutrients examined (Na, total sugars, fibre, cholesterol, saturated fat) ranged from 0·57 to 0·93. For each app, one or more mean nutrient intake calculations were significantly lower than those from NDSR. These differences included total protein (P=0·03), total fat (P=0·005), Na (P=0·02) and cholesterol (P=0·005) for MyFitnessPal; dietary fibre (P=0·04) for Fitbit; total protein (P=0·0004), total fat (P=0·008), Na (P=0·002), sugars (P=0·007), cholesterol (P=0·0006) and saturated fat (P=0·005) for Lose It!; Na (P=0·03) and dietary fibre (P=0·005) for MyPlate; and total fat (P=0·03) for Lifesum. CONCLUSIONS: Findings suggest that nutrient calculations from leading nutrition tracking apps tend to be lower than those from NDSR, a dietary analysis software developed for research purposes. Further research is needed to evaluate the validity of the apps when foods consumed are entered by consumers.

Using pre- and post-survey instruments in interventions: determining the random response benchmark and its implications for measuring effectiveness.

OBJECTIVE: The present communication demonstrates that even if individuals are answering a pre/post survey at random, the percentage of individuals showing improvement from the pre- to the post-survey can be surprisingly high. Some simple formulas and tables are presented that will allow analysts to quickly determine the expected percentage of individuals showing improvement if participants just answered the survey at random. This benchmark percentage, in turn, defines the appropriate null hypothesis for testing if the actual percentage observed is greater than the expected random answering percentage. DESIGN: The analysis is demonstrated by testing if actual improvement in a component of the US Department of Agriculture's (USDA) Expanded Food and Nutrition Education Program is significantly different from random answering improvement. SETTING: USA. SUBJECTS: From 2011 to 2014, 364320 adults completed a standardized pre- and post-survey administered by the USDA. RESULTS: For each year, the statement that the actual number of improvements is less than the expected number if the questions were just answered at random cannot be rejected. This does not mean that the pre-/post-test survey instrument is flawed, only that the data are being inappropriately evaluated. CONCLUSIONS: Knowing the percentage of individuals showing improvement on a pre/post survey instrument when questions are randomly answered is an important benchmark number to determine in order to draw valid inferences about nutrition interventions. The results presented here should help analysts in determining this benchmark number for some common survey structures and avoid drawing faulty inferences about the effectiveness of an intervention.

High protein intake without concerns?

The high fashion in nutrition for the critically ill is to recommend a high protein intake. Several opinion leaders are surfing on this wave, expanding the suggested protein allowance upwards. At the same time, there is no new evidence supporting this change in recommendations. Observational data show that in clinical practice protein intake is most often far below current ESPEN recommendations of 1.2-1.5 g/kg/day. Therefore, it may be in the best interests of our patients just to adhere to that guideline, and not to stretch them upwards for protein intake? Here we give arguments to stay conservative.

Cross-cultural measurement invariance in the satisfaction with food-related life scale in older adults from two developing countries.

BACKGROUND: Nutrition is one of the major determinants of successful aging. The Satisfaction with Food-related Life (SWFL) scale measures a person's overall assessment regarding their food and eating habits. The SWFL scale has been used in older adult samples across different countries in Europe, Asia and America, however, there are no studies that have evaluated the cross-cultural measurement invariance of the scale in older adult samples. Therefore, we evaluated the measurement invariance of the SWFL scale across older adults from Chile and Ecuador. METHODS: Stratified random sampling was used to recruit a sample of older adults of both genders from Chile (mean age = 71.38, SD = 6.48, range = 60-92) and from Ecuador (mean age = 73.70, SD = 7.45, range = 60-101). Participants reported their levels of satisfaction with food-related life by completing the SWFL scale, which consists of five items grouped into a single dimension. Confirmatory factor analysis (CFA) was used to examine cross-cultural measurement invariance of the SWFL scale. RESULTS: Results showed that the SWFL scale exhibited partial measurement invariance, with invariance of all factor loadings, invariance in all but one item's threshold (item 1) and invariance in all items' uniqueness (residuals), which leads us to conclude that there is a reasonable level of partial measurement invariance for the CFA model of the SWFL scale, when comparing the Chilean and Ecuadorian older adult samples. The lack of invariance in item 1 confirms previous studies with adults and emerging adults in Chile that suggest this item is culture-sensitive. We recommend revising the wording of the first item of the SWFL in order to relate the statement with the person's life. CONCLUSIONS: The SWFL scale shows partial measurement invariance across older adults from Chile and Ecuador. A 4-item version of the scale (excluding item 1) provides the basis for international comparisons of satisfaction with food-related life in older adults from developing countries in South America.

Evaluation of the international standardized 24-h dietary recall methodology (GloboDiet) for potential application in research and surveillance within African settings.

BACKGROUND: Collection of reliable and comparable individual food consumption data is of primary importance to better understand, control and monitor malnutrition and its related comorbidities in low- and middle-income countries (LMICs), including in Africa. The lack of standardised dietary tools and their related research support infrastructure remains a major obstacle to implement concerted and region-specific research and action plans worldwide. Citing the magnitude and importance of this challenge, the International Agency for Research on Cancer (IARC/WHO) launched the "Global Nutrition Surveillance initiative" to pilot test the use of a standardized 24-h dietary recall research tool (GloboDiet), validated in Europe, in other regions. In this regard, the development of the GloboDiet-Africa can be optimised by better understanding of the local specific methodological needs, barriers and opportunities. The study aimed to evaluate the standardized 24-h dietary recall research tool (GloboDiet) as a possible common methodology for research and surveillance across Africa. METHODS: A consultative panel of African and international experts in dietary assessment participated in six e-workshop sessions. They completed an in-depth e-questionnaire to evaluate the GloboDiet dietary methodology before and after participating in the e-workshop. RESULTS: The 29 experts expressed their satisfaction on the potential of the software to address local specific needs when evaluating the main structure of the software, the stepwise approach for data collection and standardisation concept. Nevertheless, additional information to better describe local foods and recipes, as well as particular culinary patterns (e.g. mortar pounding), were proposed. Furthermore, food quantification in shared-plates and -bowls eating situations and interviewing of populations with low literacy skills, especially in rural settings, were acknowledged as requiring further specific considerations and appropriate solutions. CONCLUSIONS: An overall positive evaluation of the GloboDiet methodology by both African and international experts, supports the flexibility and potential applicability of this tool in diverse African settings and sets a positive platform for improved dietary monitoring and surveillance. Following this evaluation, prerequisite for future implementation and/or adaptation of GloboDiet in Africa, rigorous and robust capacity building as well as knowledge transfer will be required to roadmap a stepwise approach to implement this methodology across pilot African countries/regions.

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.

Dietary Nutrient Intake in School-Aged Children With Heavy Prenatal Alcohol Exposure.

BACKGROUND: Nutrition is an important factor that affects brain development. Nutritional deficiencies can exacerbate alcohol's damaging effects. Conversely, nutritional supplementation can serve a protective role against alcohol damage and may prove to be a worthwhile intervention strategy. This study investigated dietary intake in school-aged children with heavy prenatal alcohol exposure to understand their nutritional status, compared to a national sample of typically developing children and Dietary Reference Intakes. METHODS: Dietary intake data were collected from children with confirmed histories of heavy prenatal alcohol exposure (5 to 10 years, n = 55) using the Automated Self-Administered 24-Hour Dietary Recall (ASA24). Observed nutrient levels were compared to the Dietary Reference Intakes to evaluate adequacy of nutrient intake as well as to national averages for same-aged children (What We Eat in America, NHANES 2007-2008). RESULTS: Alcohol-exposed children exhibited poorer nutritional status compared to the typically developing NHANES sample, consuming lower levels of protein, omega-3 fatty acids, magnesium, potassium, zinc, vitamins C and K, niacin, and choline. Moreover, their diets did not meet Recommended Dietary Allowance or Adequate Intake for dietary fiber, potassium, vitamins E and K, omega-3 fatty acids, and choline. CONCLUSIONS: The present findings are consistent with prior studies investigating nutritional intake in preschoolers with FASD, indicating that these children are vulnerable to nutritional inadequacies. Moreover, data suggest a specific profile of dietary intake in this population. As several nutrients are important for cognitive development, targeted interventions in clinical populations might be effective in boosting outcomes. Thus, further clinical investigation into the role of nutrition in improving cognitive outcomes is warranted.

Evaluation of different methods to handle misreporting in obesity research: evidence from the Canadian national nutrition survey.

The association of dietary exposures with health outcomes may be attenuated or reversed as a result of energy intake (EI) misreporting. This study evaluated several methods for dealing with implausible recalls when analysing the association between dietary factors and obesity. We examined data from 16,187 Canadians aged ≥12 years in the nationally representative Canadian Community Health Survey 2.2. Under- and over-reporting were defined as the ratio of EI:estimated energy requirement <0·7 and >1·42, respectively. Multinomial logistic regression-generalised logit model was conducted to test the utility of different methods for handling misreporting, including (a) adjusting for variables related to misreporting, (b) excluding misreported recalls, (c) adjusting for reporting groups (under-, plausible and over-reporters), (d) adjusting for propensity score and (e) stratifying the analyses by reporting groups. In the basic model, EI showed a negative association with overweight (OR 0·988; 95% CI 0·979, 0·998) and obesity (OR 0·989; 95% CI 0·977, 0·999). Similarly, the association between total energy density and overweight (OR 0·670; 95% CI 0·487, 0·923) and obesity (OR 0·709; 95% CI 0·495, 1·016) was inverse. Among all methods of handling misreporting, adjusting for the reporting status revealed the most satisfactory results, where a positive association between EI and overweight (OR 1·037; 95% CI 1·019, 1·055) and obesity (OR 1·109; 95% CI 1·082, 1·137) was observed (P<0·0001), as well as direct positive associations between energy density and percentage energy from solid fats and added sugars with obesity (P<0·05). The results of this study can help advance knowledge about the relationship between dietary variables and obesity and demonstrate to researchers and nutrition policy makers the importance of adjusting for recall plausibility in obesity research, which is highly relevant in light of global obesity epidemic.