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Background: Despite national and global commitments to improve nutrition, there are no universally accepted indicators for at-scale monitoring of diets. Several metrics have been proposed and used, but they vary in their comprehensiveness and validity in capturing the properties of healthy diets and, potentially, their interpretability across contexts., Objective: The objective of this study was to assess the cross-context equivalence and agreement of healthy diet metrics., Design: Quantitative 24-h dietary intake data from 57,456 nonpregnant females (15-49 y) in 21 countries were used to construct the food group diversity score (FGDS) and Minimum Dietary Diversity for Women indicator; the Global Diet Quality Score (GDQS) and its submetrics: GDQS+ and GDQS-; the Global Dietary Recommendations (GDR) score and its submetrics: noncommunicable disease (NCD)-Protect and NCD-Risk scores; and the All-5 indicator. Associations between (standardized) measures and indicators were quantified by fitting linear and logistic mixed-effect models across World Bank country income classifications, respectively. The levels of agreement between measures were assessed using Bland-Altman plots of z-scores, whereas rank correlations were assessed using Spearman's ρ., Results: The consumption of healthy food groups was positively associated with concurrent intakes of unhealthy food groups, in particular in high-income countries. Hence, metrics constructed using both healthy and unhealthy food groups (i.e., GDR score and GDQS) showed relatively less discriminatory capacity across country income classifications than their respective submetrics or FGDS. Standardized metrics of healthy (e.g., FGDS and GDQS+) and unhealthy food group consumption (i.e., NCD-Risk and GDQS-) exhibited strong agreement and correlations., Conclusion: Composite metrics weighting both healthy and unhealthy food groups have limited cross-context equivalence, because a wide range of diets can theoretically return similar scores. Healthy food group (sub)metrics performed comparably, likely indicating strong underlying construct validity (i.e., dietary diversity and nutrient adequacy). For national and global monitoring, refinement and validation of unhealthy food group metrics (i.e., moderation) is recommended to complement healthy food group metrics., (Copyright © 2024 Food and Agriculture Organization of the United Nations. Published by Elsevier Inc. All rights reserved.)

Background: Whether observational study can be employed to establish calibration equations for self-reported dietary intake using food biomarkers is unknown., Objectives: This study aims to demonstrate the feasibility of obtaining calibration equations based on food biomarkers and 7-d diet records (7DDRs) to correct measurement errors of food frequency questionnaires (FFQs) in an observational study setting., Methods: The study population consisted of 669 males and 749 females from the Women's and Men's Lifestyle Validation Studies. In the training set, the biomarker-predicted intake derived by regressing 7DDR-assessed intake on urinary proline betaine concentration was regressed on the FFQ-assessed intake to obtain the calibration equations. The regression coefficients were applied to the test set to calculate the calibrated FFQ intake. We examined total citrus as well as individual citrus fruits/beverages., Results: Urinary proline betaine was moderately correlated with orange juice intake (Pearson correlation [r] = 0.53 for 7DDR and 0.48 for FFQ) but only weakly correlated with intakes of orange (r = 0.12 for 7DDR and 0.15 for FFQ) and grapefruit (r = 0.14 for 7DDR and 0.09 for FFQ). The FFQ-assessed citrus intake was systematically higher than the 7DDR-assessed intake, and after calibrations, the mean calibrated FFQ measurements were almost identical to 7DDR assessments. In the test set, the mean intake levels from 7DDRs, FFQs, and calibrated FFQs were 62.5, 75.3, and 63.2 g/d for total citrus; 41.6, 42.5, and 41.9 g/d for orange juice; 11.8, 24.3, and 12.3 g/d for oranges; and 8.3, 9.3, and 8.6 g/d for grapefruit, respectively. We observed larger differences between calibrated FFQ and 7DDR assessments at the extreme ends of intake, although, on average, good agreements were observed for all citrus except grapefruit., Conclusions: Our 2-step calibration approach has the potential to be adapted to correct systematic measurement error for other foods/nutrients with established food biomarkers in a cost effective way., (Copyright © 2024 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)

Background: A food frequency questionnaire (FFQ) for South American children and adolescents was developed, but its validity for assessing dietary iron intake has not been evaluated., Objective: To evaluate the validity of the FFQ and 24-hour dietary recalls (24h-DR) for assessing dietary iron intake in children and adolescents., Design: The South American Youth/Child Cardiovascular and Environmental study is a multicenter observational study, conducted in five South American cities: Buenos Aires (Argentina), Lima (Peru), Medellin (Colombia), Sao Paulo, and Teresina (Brazil). The FFQ assessed dietary intake over the previous 3 months, and the 24h-DR was completed three times (2 weekdays and 1 weekend day) with a minimum 5-day interval between recalls. Blood samples were collected to assess serum iron, ferritin, and hemoglobin levels., Participants and Setting: Data of 99 children (aged 3 to 10 years) and 50 adolescents (aged 11 to 17 years) from public and private schools were collected during 2015 to 2017., Main Outcome Measures: Dietary iron intake calculated from the FFQ (using the sum of daily iron intake in all food/food groups) and 24h-DR (mean of 3 days using the multiple source method)., Statistical Analyses Performed: Dietary iron intake in relation to blood biomarkers were assessed using Spearman rank correlations adjusted for sex, age, and total energy intake, and the quadratic weighted κ coefficients for agreement., Results: Spearman correlations showed very good coefficients (range = 0.78 to 0.85) for the FFQ in both age groups; for the 24h-DR, the coefficients were weak in children and adolescents (range = 0.23 to 0.28). The agreement ranged from 59.9% to 72.9% for the FFQ and from 63.9% to 81.9% for the 24h-DR., Conclusion: The South American Youth/Child Cardiovascular and Environmental study FFQ exhibited good validity to rank total dietary iron intake in children and adolescents, and as well as the 24h-DR, presented good strength of agreements when compared with serum iron and ferritin levels., (Copyright © 2022 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Improving beverage patterns of children and adolescents is recommended for combatting obesity and reducing disease risk. Therefore, it is important to assess beverage intake quality in this population. For adults, the Healthy Beverage Index (HBI) was created to assess beverage intake quality, but a similar tool did not exist for children and adolescents., Objective: The objective was to develop an HBI for US Children and Adolescents (HBI-CA), and then assess the validity and reliability of this tool., Design: Modeled after the adult HBI, age-specific, evidence-based beverage recommendations were compiled. Ten components were included to assess beverage intake quality. Validity and reliability were assessed using cross-sectional data and methods similar to those used for the evaluation of the Healthy Eating Index., Participants: The 2015-2016 National Health and Nutrition Examination Survey provided 24-hour dietary recall data for 2,874 children and adolescents aged 2 to 19 years., Main Outcome Measures: HBI-CA scores were the main outcome measure., Statistical Analyses Performed: To assess validity, independent t tests were used to determine differences in HBI-CA component and total scores among groups, and principal component analysis was completed to examine multidimensionality of the HBI-CA. Pearson bivariate correlations were used to assess reliability., Results: The HBI-CA produced a (mean ± standard error) total score of 69.2 ± 0.8, which is similar to the adult HBI mean total score of 63. Principal component analysis identified six factors, indicating the multidimensionality of the HBI-CA, with more than one combination of components contributing to variation in total scores. Most HBI-CA components were significantly correlated to the total score, with met fluid requirements, total beverage energy, sugar-sweetened beverage, and water components demonstrating the strongest correlations (r range = 0.335-0.735; P ≤ 0.01)., Conclusions: The results provide preliminary evidence to support the validity and reliability of the HBI-CA. If future research establishes the predictive validity and sensitivity of the HBI-CA, this tool could be useful to quantify the beverage intake quality of children and adolescents., (Copyright © 2022 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Four models are commonly used to adjust for energy intake when estimating the causal effect of a dietary component on an outcome: 1) the "standard model" adjusts for total energy intake, 2) the "energy partition model" adjusts for remaining energy intake, 3) the "nutrient density model" rescales the exposure as a proportion of total energy, and 4) the "residual model" indirectly adjusts for total energy by using a residual. It remains underappreciated that each approach evaluates a different estimand and only partially accounts for confounding by common dietary causes., Objectives: We aimed to clarify the implied causal estimand and interpretation of each model and evaluate their performance in reducing dietary confounding., Methods: Semiparametric directed acyclic graphs and Monte Carlo simulations were used to identify the estimands and interpretations implied by each model and explore their performance in the absence or presence of dietary confounding., Results: The "standard model" and the mathematically identical "residual model" estimate the average relative causal effect (i.e., a "substitution" effect) but provide biased estimates even in the absence of confounding. The "energy partition model" estimates the total causal effect but only provides unbiased estimates in the absence of confounding or when all other nutrients have equal effects on the outcome. The "nutrient density model" has an obscure interpretation but attempts to estimate the average relative causal effect rescaled as a proportion of total energy. Accurate estimates of both the total and average relative causal effects may instead be derived by simultaneously adjusting for all dietary components, an approach we term the "all-components model.", Conclusions: Lack of awareness of the estimand differences and accuracy of the 4 modeling approaches may explain some of the apparent heterogeneity among existing nutritional studies. This raises serious questions regarding the validity of meta-analyses where different estimands have been inappropriately pooled., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.)

Background: Dietary pattern analysis considers the overall dietary intake and combinations of foods eaten. Valid and reproducible tools for determining dietary patterns are necessary to assess diet-disease relationships., Objective: This study evaluated the relative validity and reproducibility of the Researching Eating, Activity, and Cognitive Health (REACH) Study food frequency questionnaire (FFQ) specifically designed to identify dietary patterns in older adults., Design: A subset of participants from the REACH study completed two identical 109-item FFQs 1 month apart (FFQ1 and FFQ2) to assess reproducibility and a 4-day food record between FFQ administrations to assess relative validity. Foods from each dietary assessment tool were assigned to 57 food groups. Principal component analysis was applied to the food group consumption reported in each dietary assessment tool to derive dietary patterns., Participants and Setting: Dietary data were collected (2018 and 2019) from a subset of the REACH study (n = 294, 37% men) aged 65 to 74 years, living in Auckland, New Zealand., Main Outcome Measures: Daily intakes of 57 food groups and dietary patterns of older adults participating in REACH living in New Zealand., Statistical Analysis: Agreement of dietary pattern loadings were assessed using Tucker's congruence coefficient. Agreement of dietary pattern scores and food group intakes were assessed using Spearman correlation coefficients (acceptable correlation rho = 0.20 to 0.49), weighted kappa statistic (acceptable statistic κ w = 0.20 to 0.60), and Bland-Altman analysis, including mean difference, limits of agreement, plots, and slope of bias., Results: Three similar dietary patterns were identified from each dietary assessment tool: Mediterranean style, Western, and prudent. Congruence coefficients between factor loadings ranged from 0.54 to 0.80. Correlations of dietary pattern scores ranged from 0.47 to 0.59 (reproducibility) and 0.33 to 0.43 (validity) (all P values < 0.001); weighted kappa scores from 0.40 to 0.48 (reproducibility) and 0.27 to 0.37 (validity); limits of agreement from ± 1.79 to ± 2.09 (reproducibility) and ± 2.09 to ± 2.27 (validity); a negative slope of bias was seen in the prudent pattern for reproducibility and validity (P < 0.001)., Conclusions: The REACH FFQ generated dietary patterns with acceptable reproducibility and relative validity and therefore can be used to examine associations between dietary patterns and health outcomes in older New Zealand adults., (Copyright © 2021 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Short dietary assessment tools can be useful to estimate food intake and diet quality in large-scale epidemiological studies with time constraints., Objective: To determine the concurrent validity of the 17-item energy-restricted Mediterranean Adherence Screener (er-MEDAS) used in the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial and to analyse its capacity to detect 1-year changes in diet and cardiometabolic risk factors., Methods: Validation study nested in the PREDIMED-Plus (n = 6760, 55-75 years). Dietary data were collected by the 17-item er-MEDAS and a 143-item validated semiquantitative food frequency questionnaire (FFQ) at baseline and after 1-year intervention. Cardiometabolic risk markers were measured at both time points. A Mediterranean diet (MedDiet) score was derived from both instruments. Concurrent validity was evaluated by Pearson and intra-class correlation coefficients (ICC) and Bland and Altman limits of agreement. Construct validity was evaluated by assessing 1-year changes in FFQ-reported dietary intake and cardiometabolic profile changes in relation to changes in er-MEDAS., Results: A moderate to good correlation between the MedDiet score calculated by both measurement instruments was found: r = 0.61 and ICC = 0.60 (both p < 0.001). Agreement of each of the er-MEDAS items ranged from 55.4% to 85.0% with a moderate mean concordance (kappa = 0.41). Between baseline and 1-year follow-up, energy intake measured by the FFQ decreased by 242 kcal, while Mediterranean food consumption increased in participants with the highest increase in the er-MEDAS MedDiet score. An increase in the er-MEDAS MedDiet score ratings was associated with a decrease in BMI, waist circumference, triglycerides, fasting glucose, diastolic blood pressure, and triglycerides/HDL-cholesterol ratio (p < 0.001 for all), and with an increase in HDL-cholesterol (p = 0.006)., Conclusion: The er-MEDAS shows a modest to good concurrent validity compared with FFQ data. It shows acceptable construct validity, as a greater er-MEDAS score was associated with more favourable dietary and cardiometabolic profiles over time., Trial Registry: ISRCTN89898870; registration date, 24 July 2014. https://www.isrctn.com/ISRCTN89898870., Competing Interests: Conflict of Interest Dr Salas-Salvadó reports serving on the board of and receiving grant support (through his institution) from the International Nut and Dried Fruit Council and the Eroski Foundation, and serving on the Executive Committee of the Instituto Danone Spain and on the Scientific Committee of the Danone International Institute. He has received research support from Patrimonio Comunal Olivarero and Borges S.A., Spain. He reports receiving consulting fees or travel expenses from Danone; Eroski Foundation, Instituto Danone—Spain, and Abbot Laboratories. Dr Ros reports grants, non-financial support, and other fees from California Walnut Commission and Alexion, and non-financial support from the International Nut and Dried Fruit Council, all outside of the submitted work. Dr Pintó reports serving on the board of and receiving personal consulting fees from Sanofi Aventis, Amgen, and Abbott Laboratories, as well as personal lecture fees from Esteve, Lacer, and Rubio laboratories. Victor Micó reports grants from Fundación Cerveza y Salud. Dr Corella reported receiving grants from ISCIII during the conduct of the study. Dr Romaguera reported receiving grants from ISCIII during the conduct of the study and grants from Fundación AstraZeneca outside the submitted work. Dr Estruch reported receiving grants from ISCIII and olive oil for the trial from Fundacion Patrimonio Comunal Olivarero during the conduct of the study and personal fees from Brewers of Europe, Fundación Cerveza y Salud, Interprofesional del Aceite de Oliva, Instituto Cervantes, Pernaud Richar, Fundación Dieta Mediterránea, and Wine and Culinary International Forum; also nonfinancial support from Sociedad Española de Nutrición and Fundación Bosch y Gimpera and grants from Uriach Laboratories outside the submitted work. Dr López-Miranda reported receiving grants from Fondo de Investigaciones Sanitarias, ISCIII, during the conduct of the study. Dr Matía-Martín reported receiving grants from ISCIII during the conduct of the study and personal fees from Organización Interprofesional Láctea outside the submitted work. Dr Vidal reported receiving grants from ISCIII during the conduct of the study., (Copyright © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Background & Aims: Irritable bowel syndrome (IBS) is a functional disorder that is characterized by gastrointestinal symptoms and that has a major impact on quality of life, resulting in direct and indirect health care costs. The majority of patients with IBS suffer from food intolerances, most commonly related to the consumption of fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAPs). This study aimed to develop and verify the validity and reproducibility of a short food frequency questionnaire (FFQ) to assess typical FODMAP consumption in adults with IBS., Methods: The primary FFQ list consisted of source foods of FODMAPs that contributed at least 10% to the frequency of consumption among 855 adults from a population-based study in the municipality of Campinas in 2014/2015. In addition, source foods of FODMAPs (according to the Monash University Low FODMAP Diet application) and foods commonly consumed by the Brazilian population (according to the FFQ for adults validated in the city of São Paulo) were included. One hundred and five (n = 105) healthy subjects were recruited to respond to the FFQ twice and to respond the 24-h dietary recall (24HR) three times during a 3-month period. The relative validity of the proposed instrument was compared with the average of the three 24HRs, and the reproducibility of the instrument was assessed by comparing both FFQ applications. The following statistical analyses were used for validation and reproducibility: Wilcoxon's test, Spearman's correlation analysis, weighted kappa, Bland Altman's plot and index, and interclass correlation coefficient., Results: The final list of items for the short FFQ included 54 different foods. The foods were organized by FODMAP groups: free fructose, lactose, total oligosaccharides and total polyols, with variations of categories of responses for consumption frequency between 0 and 10 times and the unit of time in days, weeks or months. In the validity analyses, the correlation coefficients ranged from 0.209 (polyols) to 0.652 (lactose) (p < 0.05). There was no correlation between the methods in the fructose and oligosaccharide groups. The lactose group presented good agreement, and the remaining groups had a lack of agreement, with a mean of 15.7%. The Bland-Altman index values were 4.7% (fructose), 3.8% (lactose), 5.7% (oligosaccharides) and 6.6% (polyols). Regarding reproducibility, the interclass and Spearman's correlation coefficients varied from ICC = 0.781 and r = 0.725 (oligosaccharides) to ICC = 0.913 and r = 0.807 (lactose) (p < 0.05), showing strongly reproducible results for lactose and polyols and good results for fructose and oligosaccharides. Accurate agreement between FFQ applications had a mean of 67.3%, and 3.0% showed disagreement between FFQ1 and FFQ2. The weighted kappa coefficient ranged from 0.576 (polyols) to 0.645 (lactose)., Conclusion: The semi-quantitative short FFQ was developed to evaluate the consumption of FODMAPs in adults in São Paulo. The instrument presents good reproducibility for all groups of FODMAPs, good validity for lactose and weaker validity for fructose, polyols and oligosaccharides. As the short FFQ was carefully designed for the study population, its estimates are relatively reliable at the population group level. A future reanalysis of this questionnaire would be useful when the chemical composition data of FODMAPs are available., Competing Interests: Conflict of interest The authors declare no conflict of interest., (Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Background: Valid and efficient tools for measuring and tracking diet quality globally are lacking., Objective: The objective of the study was to develop and evaluate a new tool for rapid and cost-efficient diet quality assessment., Design: Two screener versions were designed using Prime Diet Quality Score (PDQS), one in a 24-hour recall (PDQS-24HR) and another in a 30-day (PDQS-30D) food frequency format. Participants completed two 24-hour diet recalls using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) and 2 web-based diet quality questionnaires 7 to 30 days apart in April and May 2019. Both dichotomous/trichotomous and granular scoring versions were tried for each screener., Participants/setting: The study included 290 nonpregnant, nonlactating US women (mean age ± standard deviation 41 ± 11 years) recruited via Amazon Mechanical Turk., Main Outcome Measures: The main outcome measures were Spearman rank correlation coefficients and linear regression beta-coefficients between ASA24 nutrient intakes from foods and beverages and PDQS values., Statistical Analyses Performed: The Spearman rank correlation and linear regression were used to evaluate associations of the PDQS values with ASA24 nutrient intakes from food, both crude and energy-adjusted. Correlations were de-attenuated for within-person variation in 24-hour recalls. Wolfe's test was used to compare correlations of the 2 screening instruments (PDQS-24HR and PDQS-30D) with the ASA24. Associations between the ASA24 Healthy Eating Index 2015 and the PDQS values were also evaluated., Results: Positive, statistically significant rank correlations between the PDQS-24HR values and energy-adjusted nutrients from ASA24 for fiber (r = 0.53), magnesium (r = 0.51), potassium (r = 0.48), vitamin E (r = 0.40), folate (r = 0.37), vitamin C (r = 0.36), vitamin A (r = 0.33), vitamin B6 (r = 0.31), zinc (r = 0.25), and iron (r = 0.21); and inverse correlations for saturated fatty acids (r = -0.19), carbohydrates (r = -0.22), and added sugar (r = -0.34) were observed. Correlations of nutrient intakes assessed by ASA24 with the PDQS-30D were not significantly different from those with the PDQS-24HR. Positive, statistically significant correlations between the ASA24 Healthy Eating Index 2015 and the PDQS-24HR (r = 0.61) and the PDQS-30D (r = 0.60) were also found., Conclusions: The results of an initial evaluation of the PDQS-based diet quality screeners are promising. Correlations and associations between the PDQS values and nutrient intakes were of acceptable strength and in the expected directions, and the PDQS values had moderately strong correlations with the total Healthy Eating Index 2015 score. Future work should include evaluating the screeners in other population groups, including men, and piloting it across low- and middle-income countries., (Copyright © 2021 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Objective: To validate a Spanish-language questionnaire on adolescent eating behavior based on Social Cognitive Theory., Design: The validity (reliability and construct validity) of a self-administered questionnaire containing 28 questions with Likert scale-type response options was evaluated., Setting: School located in Tonala, Jalisco, Mexico (a peri-urban area) with approximately 1,400 students enrolled., Participants: One hundred fifty-two adolescents enrolled in the second year of a middle school in Tonalá, Jalisco, Mexico (mean age, 13.7 years; SD, 0.5 years; 64% female). The retest was completed by 70 adolescents chosen at random., Outcome Measures and Analysis: The questionnaire's reliability was measured through internal consistency (Cronbach α) and reproducibility (intraclass correlation coefficient [ICC]). Construct validity was assessed using exploratory factor analysis., Results: Five questions were eliminated from the questionnaire because of a lack of temporal stability (ICC ≤0.4). The exploratory factor analysis was satisfactory for 3 factors (41.89% of variance): environmental facilitators and social support, self-efficacy and self-regulation, and outcome expectations and outcome expectations value. The questionnaire had good internal consistency (α = 0.824) and excellent temporal stability (ICC = 0.849)., Conclusions and Implications: The results substantiate the reliability and construct validity of this questionnaire. The questionnaire has the potential to use the assessment of Social Cognitive Theory constructs in clinical practice or in nutrition interventions aimed at modifying the eating habits of Spanish-speaking adolescents., (Copyright © 2020 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Background: Food frequency questionnaires (FFQs) are often used to assess dietary intakes due to their ability to assess intake over extended periods, their low respondent burden, and their cost-effectiveness. A quantitative FFQ that includes locally appropriate food items for 5-year-old children in a multiethnic Asian population was developed, but its validity has not previously been evaluated., Objective: To evaluate the relative validity of a newly developed FFQ as a dietary assessment tool for 5-year-old children in a multiethnic Asian population., Design: The 112 -food item FFQ was administered by trained interviewers to caregivers of children. Frequency of food items consumed in the previous month and portion size information were collected. The FFQs were evaluated against 3-day nonweighed diet records (DRs) completed by caregivers., Participants/setting: The dietary data of 361 children aged 5 years from the Growing Up in Singapore Towards Healthy Outcomes mother-offspring cohort were collected in 2015-2016., Main Outcome Measures: Nutrients of interest included energy, macronutrients, fiber, cholesterol, vitamin A, beta carotene, calcium, and iron, calculated from the FFQs and DRs., Statistical Analyses Performed: Nutrient intakes according to FFQs in relation to DRs were assessed using Pearson's correlation, Lin's concordance, Bland-Altman plots, quintile joint classification, and Cohen's κ statistics., Results: The highest energy-adjusted correlation (Pearson's r=0.71) and concordance (Lin's concordance=0.69) were observed for calcium. Fiber, saturated fat, polyunsaturated fatty acids (PUFA), cholesterol, and iron also showed correlation coefficients and concordance of at least 0.40. Bland-Altman plots suggested no substantial bias across ranges of intakes for the nutrients with correlations and concordance of 0.40 or above. Quintiles joint classification showed substantial agreement for calcium (κ=0.66), and moderate agreement for iron, fiber, saturated fat, polyunsaturated fat, and beta carotene (κ=0.59, 0.54, 0.49, 0.44, 0.43, respectively)., Conclusions: The newly developed FFQ is in reasonable agreement with DR for estimating intakes of calcium, fiber, saturated fat, PUFA, cholesterol, and iron. In addition, the FFQ is able to classify children according to quintiles of nutrient intakes, with moderate to substantial quintile agreements between FFQ and DR for calcium, iron, fiber, saturated fat, PUFA, and beta carotene. To assess the remaining nutrients, DR method is recommended instead of the FFQ., Competing Interests: Author Contributions L. P.-C. Shek, K. H. Tan, Y. S. Chong, and K. M. Godfrey conceived and designed the GUSTO cohort study. R. Sugianto and M. F.-F. Chong conceptualized the present work. M. J. Chan and S. F. Wong collected the data. R. Sugianto, M. F.-F. Chong, and B. C. Tai contributed to data analysis and interpretation. R. Sugianto and M. F.-F. Chong drafted the manuscript with contributions from K. M. Godfrey and B. C. Tai. All authors read and approved the final manuscript., (Copyright © 2020 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Food frequency questionnaires (FFQs) are a commonly used method to assess dietary intake in epidemiological studies. It is important to evaluate the validity of FFQs in the population of interest., Objective: To evaluate the validity of an FFQ for measuring dietary intake in survivors of colorectal cancer (CRC), relative to a 7-day dietary record., Design: Dietary intake was assessed 1 year after the end of CRC treatment. Participants first completed a 7-day dietary record and 2 weeks later a 253-item FFQ that measured intake in the preceding month., Participants/setting: Data were used from a subsample of participants (n=100) enrolled in an ongoing prospective study (EnCoRe study) in the Netherlands, from 2015 to 2018., Main Outcome Measures: Estimated intakes of total energy, 19 nutrients, and 20 food groups as well as scoring adherence to the dietary recommendations of the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) were compared between both dietary assessment methods., Statistical Analyses Performed: Means and standard deviations, Spearman rank correlations corrected for within-person variation and total energy, and κ agreement between quintiles were assessed., Results: The median Spearman correlation corrected for within-person variation for nutrients and total energy was 0.60. Correlations >0.50 were found for 15 of 19 nutrients, with highest agreement for vitamin B-12 (0.74), polysaccharides (0.75), and alcohol (0.91). On average, 73% (range=60% to 84%) of participants were classified into the exact same or adjacent nutrient quintile. The median Spearman correlation corrected for within-person variation for food groups was 0.62. Correlations >0.50 were found for 17 of 20 food groups, with highest agreement for cereals and cereal products (0.96), fish (0.96), and potatoes (0.99). The Spearman correlation between total scores of the WCRF/AICR dietary recommendations was 0.53., Conclusions: Relative to a 7-day dietary record, the validity of an FFQ for measuring dietary intake among survivors of CRC appeared moderate to good for most nutrients and food groups., (Copyright © 2020 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Nutrition screening tools are used to identify risk of malnutrition or change in risk of malnutrition. However, it is unclear which tools have demonstrated high validity, reliability, and agreement., Objective: Our aim was to conduct a systematic review of valid and reliable pediatric nutrition screening tools for identifying malnutrition risk (under- or overnutrition), and to determine whether there are differences in validity and reliability according to users of the tools., Methods: A literature search using Medline, Embase, and CINAHL databases was conducted to identify relevant research published between 1995 and May 2017 examining validity and reliability of nutrition screening tools in the pediatric population. A multidisciplinary workgroup developed eligibility criteria, data were extracted and summarized, risk of bias was assessed, and evidence strength was graded, according to a standard process., Results: Twenty-nine studies met inclusion criteria. Thirteen pediatric nutrition screening tools designed for various settings were included in the review (seven inpatient/hospital, three outpatient or specialty setting, and three community). The most frequently examined tools were the Screening Tool for the Assessment of Malnutrition in Pediatrics, Screening Tool for Risk on Nutritional Status and Growth (13 studies each), and Paediatric Yorkhill Malnutrition Score (nine studies). No tools demonstrated high validity. Reliability and agreement were reported infrequently., Conclusions: Nutrition screening tools with good/strong or fair evidence and moderate validity included the Screening Tool for the Assessment of Malnutrition in Pediatrics, Screening Tool for Risk on Nutritional Status and Growth, and Paediatric Yorkhill Malnutrition Score in the inpatient setting and Nutrition Risk Screening Tool for Children and Adolescents with Cystic Fibrosis in the specialty setting. No tools in the community setting met these criteria. While differences in validity and reliability measures among tool users were found, the significance of these findings is unclear. Limitations included few studies examining each tool, heterogeneity between studies examining a common tool, and lack of tools that included currently recommended indicators to identify pediatric malnutrition., (Copyright © 2020 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Research on the relationship between maternal diet and pregnancy outcomes requires valid dietary assessment tools in pregnancy., Objective: This study aimed to develop and examine the relative validity and reproducibility of a quantitative food frequency questionnaire (FFQ) to estimate food group intake in a sample of pregnant Jordanian women., Design: In this validation study, food group intake from a culturally sensitive quantitative FFQ was compared with food group intake from three 24-hour dietary recalls., Participants and Setting: The validation study was conducted from 2015 to 2017 at the maternity clinics in Jordan University Hospital among 131 healthy singleton pregnant Jordanian women. Of these women, 30 also took part in the reproducibility phase, which involved repeated completion of the FFQ in a time frame of 1 month. Pregnant women who had gestational diabetes, preeclampsia, and chronic diseases were excluded., Main Outcome Measures: Relative validity and reproducibility of a 117-item quantitative FFQ used to estimate usual food intake over a period of 1 month., Statistical Analyses Performed: Intraclass correlation coefficients and weighted κ statistics were calculated to test the reproducibility between the two administrations of the FFQ. Pearson correlations were estimated to validate the FFQ against 24-hour dietary recalls. Cross-classification and Bland-Altman plots were used to examine the agreement between the two dietary assessment methods., Results: The intraclass correlation coefficients between the two FFQs ranged from 0.24 for legumes to 0.93 for processed meats. A moderate level of agreement was observed between two FFQs. De-attenuated and energy-adjusted correlations ranged from 0.08 for sweets and sugar to 0.93 for sugary drinks. On average, 50.9% and 45.2% of participants were classified by the FFQ and the 24-hour dietary recalls into the same quartile based on their crude and energy-adjusted food group intake, respectively. Bland-Altman plots showed satisfactory agreement between two methods for most food groups., Conclusions: The FFQ showed moderate reproducibility and good relative validity for most food groups., (Copyright © 2019 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: It is important to find ways to minimize errors when children self-report food consumption., Objective: The objective of this study was to investigate whether assistance given to children completing a self-administered 24-hour dietary recall instrument called SACANA (Self-Administered Child, Adolescent and Adult Nutrition Assessment) increased the repeatability and plausibility of energy intake (EI) estimates., Participants/setting: The study was conducted between October 2013 and March 2016 in a convenience sample of 395 children, aged 8 to 17 years, from eight European countries participating in the I.Family study., Design: SACANA was used to recall the previous day's food intake, twice in a day, once with and once without assistance., Main Outcome Measures: The difference in EI between the first and second recalls was the main repeatability measure; the ratio of EI to basal metabolic rate was the plausibility measure., Statistical Methods: Generalized linear mixed models, adjusted for sex, age, and body mass index z-score, were used to assess whether assistance during the first vs second recall influenced repeatability and plausibility., Results: The difference in estimated EI (EI from second recall minus EI from first recall) was significantly lower (P<0.001) in those assisted at first (median=-76 kcal) than those assisted at second recall (median=282 kcal). Modeling showed that EI at assisted first recall was 19% higher (95% CI 1.13 to 1.24) than in assisted second recall. Overall, 60% of recalls had a plausible EI. Modeling to estimate the simultaneous effects of second vs first recall and assistance vs no assistance on plausibility showed that those assisted at first recall had significantly higher odds of a plausible recall than those unassisted (odds ratio 3.64, 95% CI 2.20 to 6.01), with no significant difference in plausibility of second recall compared to the first (odds ratio 1.48, 95% CI 0.92 to 2.35)., Conclusions: When children are assisted at first recall, the plausibility and repeatability of the later unassisted recall improve. This improvement was evident for all ages. A future, adequately powered study is required to investigate the age range for which assistance is advisable., (Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Methods to address misreporting associated with short dietary assessment instruments are needed., Objective: Our objective was to develop and evaluate the direct and indirect validity of adjustment factors applied to a short dietary assessment instrument to improve estimates of usual consumption of core and discretionary food and beverage intake., Design: Validation of the Short Food Survey relative to 24-hour recalls was performed. The Short Food Survey requires individuals to report their usual intake of fruit, vegetables, grains, meat, dairy, and discretionary choices in multiples of standard servings. Adjustment factors were developed based on a ratio (usual portion size estimated from national data to standard serving size). The estimates of food group intakes (unadjusted and adjusted) were compared to 24-hour recalls., Participants/setting: Three population samples were used in this study. The direct validation used data from 61 Australian adults (collected 2013-2014). The indirect validation compared data from the 2011-2013 Australian National Nutrition and Physical Activity Survey (n=9,435) to a sample of 145,975 who completed the Short Food Survey in a format that is freely available online (2015-2016)., Main Outcome Measures: Food group intake (in servings) was measured., Statistical Analyses Performed: Descriptive and inferential statistical analyses were conducted., Results: Direct validation showed the adjustment factors improved the survey-derived estimates of intake for all food groups except grain foods. For grains, the mean difference went from -0.6 servings to +1.2 to 1.5 servings. The absolute difference in food group intake between the adjusted Short Food Survey and recalls remained statistically significant for fruit, meat, dairy, and grains, but was not different for vegetables and discretionary foods. The indirect validation showed that the adjusted estimates of intake from the online Short Food Survey were closer to the population estimates reported by 24-hour recall for all food groups except meat., Conclusions: Adjustment factors can improve estimates of food group intake assessed using a short dietary assessment instrument for some but not all food groups., (Crown Copyright © 2018. Published by Elsevier Inc. All rights reserved.)

Background: Interventions designed to encourage fruit and vegetable (F/V) consumption within schools are increasingly common. Thus, there is a need for valid, practical dietary assessment instruments to evaluate their effectiveness., Objective: The aim of this study was to examine the validity of a group-administered, paper-and-pencil questionnaire to assess F/V selection and consumption at school lunch relative to digital photography., Design: This was a five-phase, method-comparison study in which the questionnaire was iteratively modified between each phase., Participants/setting: The study examined sets of questionnaires and photographs of lunch trays (n=1,213) collected on 44 days between May 2015 and June 2016 among second-grade students from three New York City schools (phases 1 to 4) and second- and third-grade students from 20 schools across eight states (phase 5)., Main Outcome Measures: Outcomes assessed were selection, amount eaten, preference, and intention to consume F/V., Statistical Analyses Performed: Validity was assessed by percent agreement (categorized as "match, omission, or intrusion" for items on or off tray and "match, overestimation, or underestimation" for amount eaten), Spearman correlation coefficients, and intraclass correlation coefficients (ICC)., Results: The total match rate for items on tray was substantial (phases 1 to 5: 83%, 84%, 92%, 93%, and 89%), with items more frequently intruded than omitted. For amounts eaten, the total match rates were moderate, but generally improved throughout the study (phases 1 to 5: 65%, 64%, 83%, 83%, and 76%), with overestimations more frequent than underestimations. There was good correspondence between methods in the estimates of amount eaten in a quantitative, cup equivalent amount (fruit ICC=0.61; vegetables ICC=0.64). Significant differences (α=.05) were not observed between second- and third-grade students, respectively, in the match rate for fruits (86% and 89%) or vegetable (89% and 86%) items on tray or fruit (69% and 73%) and vegetables (74% and 76%) amount eaten. Excellent correlations were observed between amount eaten and preference for fruit (r=0.91) and vegetables (r=0.93)., Conclusions: The questionnaire offers a feasible, valid instrument for assessing F/V selection and consumption among elementary students in schools participating in the National School Lunch Program. Additional research is recommended to test the instrument's sensitivity and to reproduce these findings using an alternative reference method, such as direct observations., (Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Methods for improving the utility of short dietary assessment instruments are needed. Objective: We sought to describe the development of the NHANES Dietary Screener Questionnaire (DSQ) and its scoring algorithms and performance. Methods: The 19-item DSQ assesses intakes of fruits and vegetables, whole grains, added sugars, dairy, fiber, and calcium. Two nonconsecutive 24-h dietary recalls and the DSQ were administered in NHANES 2009-2010 to respondents aged 2-69 y ( n = 7588). The DSQ frequency responses, coupled with sex- and age-specific portion size information, were regressed on intake from 24-h recalls by using the National Cancer Institute usual intake method to obtain scoring algorithms to estimate mean and prevalences of reaching 2 a priori threshold levels. The resulting scoring algorithms were applied to the DSQ and compared with intakes estimated with the 24-h recall data only. The stability of the derived scoring algorithms was evaluated in repeated sampling. Finally, scoring algorithms were applied to screener data, and these estimates were compared with those from multiple 24-h recalls in 3 external studies. Results: The DSQ and its scoring algorithms produced estimates of mean intake and prevalence that agreed closely with those from multiple 24-h recalls. The scoring algorithms were stable in repeated sampling. Differences in the means were <2%; differences in prevalence were <16%. In other studies, agreement between screener and 24-h recall estimates in fruit and vegetable intake varied. For example, among men in 2 studies, estimates from the screener were significantly lower than the 24-h recall estimates (3.2 compared with 3.8 and 3.2 compared with 4.1). In the third study, agreement between the screener and 24-h recall estimates were close among both men (3.2 compared with 3.1) and women (2.6 compared with 2.5). Conclusions: This approach to developing scoring algorithms is an advance in the use of screeners. However, because these algorithms may not be generalizable to all studies, a pilot study in the proposed study population is advisable. Although more precise instruments such as 24-h dietary recalls are recommended in most research, the NHANES DSQ provides a less burdensome alternative when time and resources are constrained and interest is in a limited set of dietary factors., Competing Interests: 2: Author disclosures: FE Thompson, D Midthune, L Kahle, and KW Dodd, no conflicts of interest., (© 2017 American Society for Nutrition.)

Background: Accurate dietary assessment is key to understanding nutrition-related outcomes and is essential for estimating dietary change in nutrition-based interventions., Objective: The objective of this study was to assess the pan-European reproducibility of the Food4Me food-frequency questionnaire (FFQ) in assessing the habitual diet of adults., Methods: Participants from the Food4Me study, a 6-mo, Internet-based, randomized controlled trial of personalized nutrition conducted in the United Kingdom, Ireland, Spain, Netherlands, Germany, Greece, and Poland, were included. Screening and baseline data (both collected before commencement of the intervention) were used in the present analyses, and participants were included only if they completed FFQs at screening and at baseline within a 1-mo timeframe before the commencement of the intervention. Sociodemographic (e.g., sex and country) and lifestyle [e.g., body mass index (BMI, in kg/m(2)) and physical activity] characteristics were collected. Linear regression, correlation coefficients, concordance (percentage) in quartile classification, and Bland-Altman plots for daily intakes were used to assess reproducibility., Results: In total, 567 participants (59% female), with a mean ± SD age of 38.7 ± 13.4 y and BMI of 25.4 ± 4.8, completed both FFQs within 1 mo (mean ± SD: 19.2 ± 6.2 d). Exact plus adjacent classification of total energy intake in participants was highest in Ireland (94%) and lowest in Poland (81%). Spearman correlation coefficients (ρ) in total energy intake between FFQs ranged from 0.50 for obese participants to 0.68 and 0.60 in normal-weight and overweight participants, respectively. Bland-Altman plots showed a mean difference between FFQs of 210 kcal/d, with the agreement deteriorating as energy intakes increased. There was little variation in reproducibility of total energy intakes between sex and age groups., Conclusions: The online Food4Me FFQ was shown to be reproducible across 7 European countries when administered within a 1-mo period to a large number of participants. The results support the utility of the online Food4Me FFQ as a reproducible tool across multiple European populations. This trial was registered at clinicaltrials.gov as NCT01530139., (© 2016 American Society for Nutrition.)

Objective: To provide evidence of the construct validity of a single-item overall diet question with a nomological network of self-rated and biometric measures of dietary intake and outcomes., Methods: The authors conducted a secondary analysis of survey and biometric data from a cross-sectional sample of urban-dwelling adults. In addition to self-rated diet quality, they examined dietary behaviors, biomarkers of intake, and related outcomes. Self-rated diet quality was treated as a continuous variable to calculate P for trend using regression analysis., Results: Self-rated diet quality was significantly associated with variation in both subjective and objective measures of dietary intake (fruit and vegetable intake, P < .001; sugar-sweetened beverage intake, P < .001; sodium to potassium ratio, P < .001), behavior (frequency of fast-food dining, P < .001), and related outcomes (systolic blood pressure, P = .010; diastolic blood pressure, P < .001; and body mass index, P < .001)., Conclusions and Implications: Evidence supports the construct validity of a single-item measure of diet quality. This single-item question may be a useful proxy for more burdensome measures of overall diet quality., (Copyright © 2015 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Low literacy skills and poor evaluation tool readability combined with the stresses of the classroom environment create a high cognitive load for Expanded Food and Nutrition Education Program (EFNEP) participants, resulting in lower quality data. The authors advocate for 9 strategies for improving the participant cognitive load for the evaluation process using the EFNEP Family Record as an example., (Copyright © 2014 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Objective: To develop a brief questionnaire to assess dietary fat quality, the Dietary Fat Quality Assessment (DFQA), for use in dietary counseling to reduce heart disease risk., Methods: A subsample of 120 underserved, midlife women enrolled in a randomized, controlled weight loss trial completed baseline and follow-up telephone surveys. Main outcome measures included dietary fat components (total fat, saturated fat, polyunsaturated fat, monounsaturated fat, omega-3 fatty acids, and cholesterol)., Results: Assessments of major dietary fat components using the DFQA and a food frequency questionnaire were significantly correlated, with correlation coefficients of 0.54-0.66 (P < .001). Intra-class correlation coefficients to assess reliability ranged from 0.48 to 0.59 for each of the fat components studied., Conclusions and Implications: The DFQA provides a reasonable assessment of dietary fat quality associated with coronary heart disease risk and may prove useful as a brief assessment tool to guide dietary counseling given to reduce heart disease risk., (Copyright © 2013 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Objective: The goal of the study was to assess the validity and feasibility of a digital diet estimation method for use with preschool children in Head Start., Methods: Preschool children and their caregivers participated in validation (n = 22) and feasibility (n=24) pilot studies. Validity was determined in the metabolic research unit using actual gram weight measurements as the reference method. Feasibility of using the digital diet estimation method was determined in Head Start and in the home by assessing 3 separate lunch and dinner meals., Results: The average correlation between estimated weights and actual weights was 0.96 (P < .001), and the average mean difference was 10.6 g. The digital diet estimates were 5% lower than the actual weights., Conclusions and Implications: The digital diet estimation method may be a valid and feasible method for assessing food intake of preschool children., (Published by Elsevier Inc.)

Background: Fruit and vegetable (F/V) intake assessment tools that are valid, reliable, brief, and easy to administer and code are vital to the field of public health nutrition., Objective: To evaluate three short F/V intake screeners (ie, a 2-item serving tool, a 2-item cup tool, and a 16-item F/V intake screener) among adults using multiple 24-hour dietary recalls (24-hour recalls) as the reference instrument and evaluate test-retest reliability of the screeners across a 2- to 3-week time period., Design: Validity and reliability study., Participants/setting: Two hundred forty-four adults for the validity study and 335 adults for test-retest reliability., Statistical Analyses Performed: Median values for F/V intakes were calculated for the screeners and 24-hour recalls. The Wilcoxon signed rank test was used to compare screeners with the 24-hour recalls. Deattenuated Pearson correlations were reported for validity and intraclass correlation coefficient used for reliability., Results: The estimated median daily servings/cups of F/V for the 2-item serving screener was lower, for the 2-item cup screener was equivalent for men but higher for women, and for the 16-item F/V intake screener were about the same when compared with 24-hour recall values. The deattenuated correlations comparing the 24-hour recalls with the screeners were positive but weak for the 2-item serving screener, and were positive and moderate in strength for the 2-item cup and 16-item F/V intake screeners. The test-retest intraclass correlation coefficients were all positive and fairly strong for all of the screeners., Conclusions: Although dietary screeners offer a more cost-effective, less burdensome way to obtain gross estimates to rank individuals with regard to F/V intake, these methods are not recommended for assessing precise intake levels., (Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Using food frequency data to identify dietary patterns is a newly emerging approach to assessing the relationship between dietary intake and iron status. Food frequency questionnaires should be assessed for validity and reproducibility before use., Objective: We aimed to investigate the relative validity and reproducibility of an iron food frequency questionnaire (FeFFQ) specifically designed to identify iron-related dietary patterns., Design: Participants completed the FeFFQ at baseline (FeFFQ1) and 1 month later (FeFFQ2) to assess reproducibility. A 4-day weighed diet record (4DDR) was completed between these assessments to determine validity. Foods appearing in the 4DDR were classified into the same 144 food groupings as the FeFFQ. Factor analysis was used to determine dietary patterns from FeFFQ1, FeFFQ2, and the 4DDR., Participants/setting: A convenience sample of women (n=115) aged 18 to 44 years living in Auckland, New Zealand, during 2009., Statistical Analyses Performed: Agreement between diet pattern scores was compared using correlation coefficients, Bland-Altman analysis, cross-classification, and the weighted κ statistic., Results: A "healthy" and a "sandwich and drinks" dietary pattern were identified from all three dietary assessments. Correlation coefficients between FeFFQ1 and the 4DDR diet pattern scores (validity) were 0.34 for the healthy, and 0.62 for the sandwich and drinks pattern (both Ps<0.001). Correlation coefficients between the two FeFFQs (reproducibility) were 0.76 for both the healthy and sandwich and drinks pattern (P<0.001). The FeFFQ1 correctly classified >50% of participants into the correct tertile and <10% into the opposite tertile for both the healthy and sandwich and drinks diet pattern scores when compared with the 4DDR and FeFFQ2., Conclusions: The FeFFQ appears to be a reproducible and relatively valid method for identifying dietary patterns, and could be used to investigate the relationship between dietary patterns and iron status., (Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Statistical methods for estimating usual intake require at least two short-term dietary measurements in a subsample of the target population. However, the percentage of individuals with a second dietary measurement (replication rate) may influence the precision of estimates, such as percentiles and proportions of individuals below cut-offs of intake., Objective: To investigate the precision of the usual food intake estimates using different replication rates and different sample sizes., Participants/setting: Adolescents participating in the continuous National Health and Nutrition Examination Survey 2007-2008 (n=1,304) who completed two 24-hour recalls., Statistical Analyses Performed: The National Cancer Institute method was used to estimate the usual intake of dark green vegetables in the original sample comprising 1,304 adolescents with a replication rate of 100%. A bootstrap with 100 replications was performed to estimate CIs for percentiles and proportions of individuals below cut-offs of intake. Using the same bootstrap replications, four sets of data sets were sampled with different replication rates (80%, 60%, 40%, and 20%). For each data set created, the National Cancer Institute method was performed and percentiles, CI, and proportions of individuals below cut-offs were calculated. Precision estimates were checked by comparing each CI obtained from data sets with different replication rates with the CI obtained from original data set. Further, we sampled 1,000, 750, 500, and 250 individuals from the original data set, and performed the same analytical procedures., Results: Percentiles of intake and percentage of individuals below the cut-off points were similar throughout the replication rates and sample sizes, but the CI increased as the replication rate decreased. Wider CIs were observed at 40% and 20% of replication rate., Conclusions: The precision of the usual intake estimates decreased when low replication rates were used. However, even with different sample sizes, replication rates >40% may not lead to an important loss of precision., (Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Canadian dietary sources of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) include marine and non-marine whole foods, functional foods, and nutraceuticals., Objective/design: In the present study, these sources were incorporated into a nutrient-specific, semi-quantitative food frequency questionnaire (FFQ) and the ability to measure the EPA and DHA intakes of Canadian adults was assessed. Specifically, the EPA and DHA intakes estimated by FFQ of 78 men and women, 20 to 60 years of age, were compared with EPA and DHA measurements from 3-day food records and measures of EPA and DHA in fasting whole blood., Results: Mean (±standard deviation) and median intakes of EPA+DHA were 0.34±0.34 and 0.21 g/day by FFQ and 0.47±0.71 and 0.13 g/day by food record, with no significant differences between mean intakes (P=0.93). The FFQ provided higher estimates than the food record at low intakes of EPA and DHA and lower estimates at high intakes based on Bland-Altman plots. The FFQ was moderately correlated with food record (r=0.31 to 0.49) and with blood biomarker measures of EPA and DHA (r=0.31 to 0.51). Agreement analysis revealed that 42% of participants were classified in the same and 77% into same or adjacent quartile when EPA and DHA intake was assessed by food record and by FFQ. Similar quartile agreement was found for EPA and DHA intakes by FFQ with blood biomarker EPA and DHA. The range of the validity coefficients, calculated using the method of triads, was 0.43 to 0.71 for FFQ measurement of EPA+DHA., Conclusions: The FFQ is an adequate tool for estimating usual EPA and DHA intakes and ranking Canadian adults by their intakes., (Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Objective: To investigate if the addition of an in-depth interview focused on cultural dietary practices could improve the quality of dietary data from food records among South Asian women in New Zealand., Methods: Cross-sectional data were collected from 134 South Asian women (≥20 years), living in Auckland. Dietary data were collected using four-day food records. Nutritional analysis revealed 33.6% under-reporting of energy intakes. All women were recalled for an in-depth probing interview focused on culture-specific foods and dietary practices., Results: The interview revealed extensive use of dairy products and plant oils. The nutrient content of the food record alone and the food record plus interview were compared; median energy intakes were 6,852 kJ vs 7,246 kJ (p<0.001); under-reporting decreased by 14.2%, and total fat and protein intakes (g/day) increased (p<0.001). Estimates of poly- and mono-unsaturated fatty acids increased significantly (p<0.001) due to greater use of plant oils due to greater use of plant oils replacing saturated fatty acid-rich fats in food preparation. A significant increase (17%) (p<0.001) in calcium intake reflects the higher dairy intake identified with the interview., Conclusion: The addition of an in-depth probing interview to a four-day food record enhanced food intake reporting. Self-reported dietary assessments in immigrant population groups require quality control for accuracy., Implications: Methods to ensure high-quality dietary data are essential to assess health outcomes and to inform public health interventions, especially in immigrant populations., (© 2012 The Authors. ANZJPH © 2012 Public Health Association of Australia.)

Characterizing relationships between diet, body weight, and health is complicated by reporting errors in dietary intake data that are associated with body weight. The objectives of this study were to assess changes in reporting across days (reactivity) on food checklists and associations between reactivity and body mass index (BMI) using data from two cross-sectional studies: 1) the Recontacting Participants in the Observing Protein and Energy Nutrition study (n = 297), which was conducted in 2003-2004 and included a 7-day checklist and a 4-day food record (FR), and 2) the America's Menu Daily Food Report Study (n=530), which was conducted in 1996 and included a 30-day checklist. Zero-inflated Poisson regression was used to assess effects of reporting day on frequency of consumption for the checklists and number of items reported for the FR. Interactions between day and BMI were tested using contrast statements. Frequency of reported consumption declined across days among males and females for total items and many of the eight food groups on the 7-day checklist; among females, the effect of reporting day differed by BMI category for the meat, fish, and poultry group. Smaller declines across days were observed for some of the 22 food groups on the 30-day checklist; no interactions with BMI were apparent. No reporting day effects were observed in the FR data. The results suggest inconsistent reactivity across days, possibly reflecting changes in reporting or consumption behavior. However, the effects are generally small and independent of body weight, suggesting that checklists are potentially useful for the study of body weight and diet.

Sources of variance in dietary intake records were measured and compared. Eighteen graduate students recorded self-selected food intakes during a 30-day study. Subjects were divided into two groups and on alternating 5 consecutive day periods, one group weighted all food consumed and recorded it on tape recorders while the other group recorded estimated intake in small notebooks. An average of two, 24-h dietary recalls was also obtained from each subject and compared to previously estimated intake. The major contributions to total variance were within subject and between subject variance. There was no difference in the mean protein and energy intake recorded by weighing when compared to that recorded in household measures, but there was less variability in the records obtained by weighting intake. The 95% confidence limits were calculated both for the group's and an individual's intake for each method, these demonstrated that 1-day dietary record gave a reasonable estimate (within 15%) of the usual intake of the group. However, the 1-day record, regardless of which method used, gave a meaningless estimate of an individual's usual diet. The protein/energy ratios and the coefficient of interindividual variation are also reported.