Best Practices for Conducting and Interpreting Studies to Validate Self-Report Dietary Assessment Methods

Nutritional alterations, adverse consequences, and comprehensive assessment in spinal cord injury: a review

Spinal cord injury (SCI) leads to complex nutritional alterations, including energy imbalance, skewed macronutrient and micronutrient intake, and disrupted nutrient absorption and metabolism. These changes contribute to increased risks of obesity, cardiovascular disease, metabolic syndrome, and other comorbidities, profoundly affecting long-term recovery and quality of life. Despite the growing recognition of these challenges, nutritional assessment methods for SCI patients remain fragmented and insufficient. This review first outlines the major nutritional consequences and clinical implications of SCI, then focuses on current methods for assessing nutritional status in this population. Three major domains are discussed: body composition analysis, nutrient intake and absorption assessment, and energy metabolism monitoring. Traditional tools such as anthropometry, food diaries, and indirect calorimetry are discussed alongside advanced technologies including magnetic resonance imaging (MRI), dual-energy X-ray absorptiometry (DXA), and metabolomics. By highlighting both current limitations and emerging solutions, this review underscores the importance of personalized, technology-assisted nutritional assessment strategies to guide clinical decision-making and optimize outcomes for individuals with SCI.

Survey Methodology for Data Collection and Analysis in Nutrition and Dietetics Research

This article is part of a series of articles in the Journal of the Academy of Nutrition and Dietetics exploring the importance of research design, epidemiological methods, and statistical analysis as applied to nutrition and dietetics research. The purpose of this ongoing statistical portfolio is to assist registered dietitian nutritionists and nutrition and dietetic technicians, registered with interpreting nutrition research and applying scientific principles to produce high-quality data analysis. A survey is a systematic method for collecting reportable information on a topic of interest. Developing, adapting, and conducting survey research is a complex process; its aim is to collect accurate and useful data for the intended purpose and context. This article, which accompanies a companion article on electronic survey research, is an overview of survey methodology for data collection and analysis in nutrition and dietetics research. Its purpose is to highlight the general principles and components of survey development and survey administration that would maximize the validity of the data obtained. The goal is to provide a practical guide on the design and implementation of a survey as a method for data collection. Supporting figures are provided for use in direct application by practitioners and students.

Narrative Review of the Validity and Cross-Context Equivalence of Healthy Diet Metrics and Their Data Collection Methods for Global Monitoring

Background

Valid, sensitive healthy diet metrics that are comparable across contexts are needed for global monitoring. The healthy diets monitoring initiative identified 4 field metrics as potentially fit for purpose: global diet quality score (GDQS), global dietary recommendations score, minimum dietary diversity for women (MDD-W), and Nova ultra-processed food score.

Objectives

To review whether these 4 healthy diet metrics 1) accurately predict food and nutrient intakes; 2) accurately differentiate the average or prevalence of food and nutrient intakes; 3) respond to changes over time; 4) are comparable across contexts; and 5) can be collected using their proposed brief assessment methods while preserving predictive accuracy.

Methods

Peer-reviewed literature was searched and extracted from PubMed, Web of Science, and Google Scholar, including preprints and grey literature from the latter. Evidence on the accuracy of the field metrics and methods was qualitatively assessed against the aforementioned objectives, considering the underlying theory of change and study design, as well as the direction and magnitudes of the observed associations or effects.

Results

Increments in GDQS+ and MDD-W predicted higher composite metrics of nutrient adequacy. MDD-W was sensitive to changes in nutrient intakes over time. MDD-W cutoffs showed limited variability across contexts and population groups. Higher GDQS and global dietary recommendation scores and lower Nova ultra-processed food scores were associated with lower intakes of food and nutrients to moderate. The predictive accuracy of field methods for nutrient adequacy was maintained for GDQS and MDD-W. No study explicitly investigated how field metrics differentiate averages or prevalence of reference metrics across countries.

Conclusions

MDD-W demonstrated comparatively stronger predictive accuracy for nutrient adequacy, with a lower burden method, than GDQS+. Further research is required to determine the predictive accuracy of field-friendly metrics measuring moderation across contexts and time. Complementary metrics that can be collected simultaneously on a large scale are needed for global monitoring.

Best Practices and Considerations for Conducting Research on Diet-Gut Microbiome Interactions and Their Impact on Health in Adult Populations: An Umbrella Review

Diet modulates gut microbiome composition and function. However, determining causal links between diet-gut microbiome interactions and human health is complicated by inconsistencies in the evidence, arising partially from variability in research methods and reporting. Widespread adoption of standardized best practices would advance the field but require those practices to be identified, consolidated, and discussed. This umbrella review aimed to identify recommended best practices, define existing gaps, and collate considerations for conducting research on diet-gut microbiome interactions and their impact on human health outcomes. Reviews meeting inclusion criteria and published after 2013 were identified using a systematic search. Recommendations, considerations, and gaps relating to the best practices associated with study design, participant selection, dietary intervention/assessment, biological sample collection, and data analysis and reporting were extracted and consolidated. Eight narrative reviews were included. Several general points of agreement were identified, and a recurring theme was that best practices are dependent upon the research aims, outcomes, and feasibility. Multiple gaps were also identified. Some, such as suboptimal diet assessment methods and lack of validated dietary intake biomarkers, are particularly relevant to nutrition science. Others, including defining a "healthy" gut microbiome and the absence of standardized sample and data collection/analysis protocols, were relevant specifically to gut microbiome research. Gaps specific to diet-gut microbiome research include the underrepresentation of microbiome-modulating dietary components in food databases, lack of knowledge regarding interventions eliciting changes in the gut microbiome to confer health benefits, lack of in situ measurement methods, and the need to further develop and refine statistical approaches for integrating diet and gut microbiome data. Future research and cross-disciplinary exchange will address these gaps and evolve the best practices. In the interim, the best practices and considerations discussed herein, and the publications from which that information was extracted provide a roadmap for conducting diet-gut microbiome research. This trial was registered at PROSPERO as CRD42023437645.

Relative Validity and Reproducibility of a Semi-Quantitative Web-Based Food Frequency Questionnaire for Swiss Adults

Background/Objectives: Food frequency questionnaires (FFQs) are widely used in large epidemiological studies to assess diet and elucidate its impacts on health. However, they must be validated in the target population before use. Methods: We assessed the relative validity, reproducibility, and usability of the Swiss eFFQ, a web-based, 83-item food frequency questionnaire, using a convenience sample of 177 adults (53.1% females, aged 18-75 years) from German- and French-speaking regions of Switzerland. The participants completed the Swiss eFFQ twice and kept a 4-day estimated food record (4-d FR). The dietary data were compared for energy, nutrient, and food group intakes by calculating mean group-level bias, performing the Wilcoxon signed-rank test, quartile cross-classification, weighted Cohen's kappa (Kw), and correlation coefficients. Results: The Swiss eFFQ was highly rated by the participants, with a completion time under 35 min, although it tended to underestimate nutrient and food intake compared to the 4-d FR. For 31 of 36 nutrients, fewer than 10% of the participants were classified in opposite quartiles. The median proportion of subjects classified in the same or adjacent quartile was 74.7% (median Kw: 0.25). The median crude and de-attenuated Spearman correlation coefficients were 0.37 and 0.42 for nutrients and 0.45 and 0.52 for food groups, respectively. The median Spearman and intraclass correlation coefficients for the reproducibility of the Swiss eFFQ were 0.70 and 0.69 for nutrients and 0.70 and 0.61 for food groups, respectively. Conclusions: The Swiss eFFQ was shown to be reproducible and user-friendly, with acceptable accuracy in categorizing study participants based on food intake, and offers several advantages for dietary assessment of Swiss adult populations.

Agreement between methods to assess potassium intake in patients with chronic kidney disease

BACKGROUND & AIMS

In the general population, 24-h urine potassium excretion is considered the reference standard for estimating potassium intake. However, its agreement with food records and spot urine collections in adults living with chronic kidney disease (CKD) is not well-established. Given the risk of hyperkalemia related to changes in renal potassium handling, understanding if this reference standard is appropriate for the CKD population is important. This study aimed to compare agreement between methods for estimating potassium intake, using food records, 24-h urine measures, and spot urine samples.

METHODS

A cross-sectional study was conducted among adults recruited from a kidney care clinic. Participants were instructed to complete a detailed food record and a 24-h urine collection, both performed on the same day. The following day, participants provided a spot urine sample from the second void, at the research site. Potassium excretion was estimated from the spot urine sample using Tanaka's and Kawasaki's equations. Agreement between methods was assessed using the highest p-value for paired t-test and the lowest Bland-Altman bias combined with the narrowest upper and lower limits of agreements (LoA).

RESULTS

60 adults with Stage 3 and 4 CKD completed the study (48 % male, 62.9 ± 14.6 years; eGFR = 34.9 ± 12.7 mL/min). The food records showed the highest agreement with 24-h urine potassium (1823.9 ± 746.7 vs 1918.2 ± 809.3, p = 0.584). This was followed by Kawasaki's equation for spot urine (1994.8 ± 441.9, p = 0.231) and Tanaka's equation (1630.0 ± 325.9, p = 0.174). Food records and Kawasaki's equation had slightly higher mean values compared to 24-h urine with mean differences <100-200 mg/day (bias; 95%CI: bias = -94.4 mg/day; -438.3 to 249.6 mg/day and -170.9 mg/day; -454.1 to 112.2 mg/day, respectively). Tanaka's equation had a lower mean value compared to 24-h urine with a mean difference of 193.9 mg/day; -88.5 to 476.3 mg/day). The limits of agreement were as follows: in the Kawasaki's equation from -2082.2 to 1740.3 mg/day, in the Tanaka's equation from -1712.2 to 2100.0 mg/day and in the food records from -2416.1 to 2227.4 mg/day.

CONCLUSION

Mean potassium intake estimates were similar across methods. Food records demonstrated the highest agreement with 24-h urine potassium, followed by Kawasaki's equation. The Tanaka's equation showed the highest bias compared to 24-h urine and was significantly different from food records. Combining food records with potassium excretion estimated using the Kawasaki's equation from spot urine samples may be a clinically useful tool for assessing potassium intake in adults with CKD.

Project Gender NutriScope: Methods of a Mixed Methods, Community-Engaged Study Design to Explore the Nutritional Needs of Transgender and Gender-Diverse Youth and Young Adults

OBJECTIVE

Despite growing evidence of distinct nutrition-related experiences and disparities, transgender and gender-diverse (TGD) youth and young adults are an underrepresented population in nutrition research. This paper describes the methods and study design from Project Gender NutriScope, a study that will explore the nutritional needs of TGD youth and young adults.

DESIGN

Parallel convergent cross-sectional mixed methods; community-engaged.

SETTING

A purposive sample will be recruited in a Midwest city through clinics, youth organizations, and a large state university.

PARTICIPANTS

Transgender and gender-diverse youth and young adults aged 13-24 years.

INTERVENTION

Findings from this formative study will be used to inform future intervention development.

MAIN OUTCOME MEASURES

Dietary intake, eating patterns, disordered eating patterns, food security status, perceptions of relationship with food, and nutrition-related concerns.

ANALYSIS

Quantitative data will be analyzed using descriptive summary statistics. Qualitative data will be analyzed by reflexive thematic analysis. The 2 databases will be integrated iteratively.

Association between behavioural risk factors for hypertension and concordance with the Dietary Approaches to Stop Hypertension dietary pattern among South Asians in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study

South Asians are among the fastest-growing immigrant population group in the United States (U.S.) with a unique disease risk profile. Due in part to immigration and acculturation factors, South Asians engage differently with behavioural risk factors (e.g. smoking, alcohol intake, physical activity, sedentary behaviour, and diet) for hypertension, which may be modified for the primary prevention of cardiovascular disease. Using data from the Mediators of Atherosclerosis in South Asians Living in America cohort, we conducted a cross-sectional analysis to evaluate the association between behavioural risk factors for cardiovascular disease and diet. We created a behavioural risk factor score based on smoking status, alcohol consumption, physical activity, and TV watching. We also calculated a Dietary Approaches to Stop Hypertension (DASH) dietary score based on inclusion of relevant dietary components. We used both scores to examine the association between engaging with risk factors for hypertension and the DASH diet among a cohort of South Asian adults. We found that participants with 3-4 behavioural risk factors had a DASH diet score that was 3 units lower than those with no behavioural risk factors (aβ: -3.25; 95% CI: -4.28, -2.21) and were 86% less likely to have a DASH diet score in the highest category compared to the lowest DASH diet score category (aOR: 0.14; 95% CI: 0.05, 0.37) in the fully adjusted models. These findings highlight the relationship between behavioural risk factors for hypertension among South Asians in the U.S.

Evaluating Validated Diet Quality Indices Used in Pregnant Women in High-Income Countries: A Systematic Review

CONTEXT

Diet quality indices (DQIs) assess the level of adherence to dietary recommendations and a specified dietary pattern in populations; however, there is limited evidence regarding the construct criteria and validation methodology of DQIs used in pregnant women.

OBJECTIVES

The objectives of this study were to (i) identify and describe characteristics of DQIs that have been validated for use in pregnant women in high-income countries, and (ii) evaluate criteria used to develop DQIs and validation methodologies employed.

DATA SOURCES

CINAHL, Embase, Medline, SCOPUS, and Web of Science were systematically searched for eligible articles published between 1980 and November 2022 that focused on DQIs validated for use in pregnant women from high-income countries.

DATA EXTRACTION

Characteristics, development criteria, and validation methodologies used in the included articles were extracted by one reviewer and checked by a second reviewer.

DATA ANALYSIS

A narrative synthesis and descriptive statistics were used to summarize the review findings. Reporting was guided by the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement.

RESULTS

Six articles with 5 validated DQIs were identified. In total, 3777 participants were included - five articles had pregnant women aged 31-50 years and in their second trimester. Food frequency questionnaires were used as the dietary assessment method in all studies, and 3 DQIs were used to assess dietary intake at 1 time point, using 2 different dietary assessment methods. No indices fulfilled preferred features for the DQI development criteria developed by Burggraf et al (2018). Construct validity was assessed by all DQIs, followed by criterion validity (n = 4) and test-retest reliability (n = 2).

CONCLUSION

Limited high-quality validated DQIs for use in pregnant women in high-income countries were identified. Scoring for DQI components were not specific to nutrient requirements for pregnant women. Findings from this review may inform the development of DQIs that evaluate specific dietary requirements and specific food safety considerations applicable to pregnancy.

SYSTEMATIC REVIEW REGISTRATION

https://osf.io/u2hrq.

Evaluation of the Smartphone-Based Dietary Assessment tool "Traqq" for Assessing Habitual Dietary Intake by Random 2-H Recalls in Adults: Comparison with a Food Frequency Questionnaire and Blood Concentration Biomarkers

BACKGROUND

Current dietary assessment methods are affected by memory-related bias and heavily burden respondents. To reduce respondent burden and associated measurement error, we recently developed an innovative smartphone-based 2-h recall (2hR) method.

OBJECTIVES

Evaluation of the use of random 2hRs, administered via the smartphone-based dietary assessment tool "Traqq", for assessing habitual intake against a validated food frequency questionnaire (FFQ) and blood concentration markers.

METHODS

Dietary intake was assessed in 215 Dutch adults by repeated 2hRs on randomly selected days and times (i.e. equivalent to 3 full days of 2hRs) over a 4-wk period. At the end of the study period, participants completed a validated semiquantitative FFQ. Sixty-five random participants also provided 2 fasting blood samples, to assess plasma carotenoid and plasma n-3 polyunsaturated fatty acid (PUFA) concentrations.

RESULTS

Intake estimates of energy (2132 ± 665 kcal vs. 2017 ± 572 kcal) were slightly higher with 2hRs than FFQ, whereas the percentage energy intake from macronutrients where similar (i.e. protein: 37 ± 14 en% vs. 37 ± 13 en%; fat: 35 ± 6 en% vs. 44 ± 7 en%; carbohydrates: 44 ± 7 en% vs. 44 ± 6 en%). For food groups, a larger variation in intake estimates was found ranging from -65% (legumes) to 62% (pastry, cake and biscuits). Spearman correlations between 2hRs and FFQ ranged from 0.33 to 0.69 for energy and macronutrients, from 0.32 to 0.58 for micronutrients, and from 0.27 to 0.67 for food groups. For all nutrients and food groups, ≥70% of the participants were classified in the same/adjacent quartile. Spearman correlations between 2hRs and plasma carotenoids and n-3 PUFA ranged between 0.34 and 0.57 and cross-classification ranged between 61% and 83% in the same/adjacent quartile.

CONCLUSIONS

Comparing 2hRs with FFQ and blood concentration markers showed good ranking ability for energy, most nutrients, and most frequently consumed foods. More variation was seen for episodically consumed foods and nutrients.

TRIAL REGISTRATION NUMBER

This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR No. NL69065.081.19 (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=26E81F6A56186B1EC12587BD001C7AC9).

Ultra-processed food consumption: an exploration of social determinants among Black children of African and Caribbean descent in Ottawa

Consumption of ultra-processed foods (UPF) is a growing concern due to its negative impact on diet quality and health outcomes. To our knowledge, no data on UPF consumption are available for specific racial/ethnic children, including Black children, in Canada. This cross-sectional study aimed to explore the social determinants of UPF consumption among Black children of African and Caribbean descent in Ottawa. It included 174 mothers born in the Caribbean or Sub-Saharan Africa and their children aged 6 to 12. A survey was administered to assess demographic and socio-economic characteristics of mothers, children, and households. Children's dietary intakes were evaluated with a 24 h dietary recall to calculate the proportion of energy from UPF according to the NOVA food classification system. ANOVA and two-step cluster analysis were performed. Identified clusters were compared using chi-square and Student's t tests. Findings indicate that children whose mothers had been living in Canada longer (p < 0.001), whose mothers were family-class immigrants (p = 0.005), and whose households were food secure (p = 0.049), consumed more UPF than their respective counterparts. Cluster analysis revealed two profiles, named settling and established, reinforcing previous associations. Children in the established profile had a mean energy intake from UPF 9% higher than those in the settling profile (p = 0.006). This study provided initial findings on the social determinants of UPF consumption among Black children of African and Caribbean descent. It suggests that immigration-related factors and household food security status shaped UPF consumption of these children.

Urinary Metabolite Profiles of Participants with Overweight and Obesity Prescribed a Weight Loss High Fruit and Vegetable Diet: A Single Arm Intervention Study

BACKGROUND/OBJECTIVES

Thus far, no studies have examined the relationship between fruit and vegetable (F and V) intake, urinary metabolite quantities, and weight change. Therefore, the aim of the current study was to explore changes in urinary metabolomic profiles during and after a 10-week weight loss intervention where participants were prescribed a high F and V diet (7 servings daily).

METHODS

Adults with overweight and obesity (n = 34) received medical nutrition therapy counselling to increase their F and V intakes to national targets (7 servings a day). Data collection included weight, dietary intake, and urine samples at baseline at week 2 and week 10. Urinary metabolite profiles were quantified using 1H NMR spectroscopy. Machine learning statistical approaches were employed to identify novel urine-based metabolite biomarkers associated with high F and V diet patterns at weeks 2 and 10. Metabolic changes appearing in urine in response to diet were quantified using Metabolite Set Enrichment Analysis (MSEA).

RESULTS

Energy intake was significantly lower (p = 0.02) at week 10 compared with baseline. Total F and V intake was significantly higher at week 2 and week 10 (p < 0.05). In total, 123 urinary metabolites were quantified. At week 10, 21 metabolites showed significant changes relative to baseline. Of these, 11 metabolites also significantly changed at week 2. These overlapping metabolites were acetic acid, dimethylamine, choline, fumaric acid, glutamic acid, L-tyrosine, histidine, succinic acid, uracil, histamine, and 2-hydroxyglutarate. Ridge Classifier and Linear Discriminant Analysis provided best prediction accuracy values of 0.96 when metabolite level of baseline was compared to week 10.

CONCLUSIONS

Urinary metabolites quantified represent potential candidate biomarkers of high F and V intake, associated with a reduction in energy intake. Further studies are needed to validate these findings in larger population studies.

Development and Preliminary Evaluation of a Food Literacy Measure for Use With Young People in Canada

BACKGROUND

This article presents the culmination of a multiyear research project aimed at creating a comprehensive food literacy framework and corresponding measure. Specifically, this article documents the development and validation of a food literacy measure for young people facing social inequities.

OBJECTIVES

This study aimed to identify items to measure 12 attributes of food literacy; test the measure with the identified target groups, considering attribute, face, and content validity, inter-rater reliability and test-retest reliability; and refine the measure.

DESIGN

The study's design consisted of a 5-phase approach that included drafting the food literacy measure, expert review, cognitive interviews, pilot testing, and validity and reliability testing.

PARTICIPANTS AND SETTING

Seven international experts provided feedback on the measure, and 25 individuals aged 16 to 25 years participated in cognitive interviews. Two hundred fifty-five young people completed the test survey, and 147 completed a retest survey 2 weeks later. These surveys identified food literacy factors. To further evaluate the validity of these factors, 193 participants completed a confirmatory test that was used for confirmatory factor analysis to assess the final model's fit. Interview participants were recruited from local programs and services from across Ontario, Canada, and survey participants were recruited from across Canada via social media. The research study was conducted between January 2018 and December 2019.

MAIN OUTCOME MEASURES

The main outcome measures were validity and reliability scores for a food literacy measurement tool that consisted of 50 questions across 10 attributes of food literacy.

STATISTICAL ANALYSES PERFORMED

Interview analyses were guided by the 4 stages of cognitive processing. Exploratory factor analysis was used to identify the factors that improved the Cronbach's alpha of the food literacy measure. Test-retest reliability was assessed using percent agreement, Cohen's kappa, and weighted kappa. Confirmatory factor analysis was used to produce an acceptable final model with a root mean square error of approximation estimate.

RESULTS

The final food literacy measure consisted of 50 questions addressing 10 food literacy attributes. Exploratory factor analysis showed an improvement in Cronbach's alpha when compared with the initial attribute construction. Test-retest reliability showed percent agreement ranging from 64% to 97%, with most items having fair (0.21 to 0.40) to moderate (0.41 to 0.60) kappa values. Confirmatory factor analysis produced an acceptable final model with a root mean square error of approximation estimate of 0.0437.

CONCLUSIONS

The food literacy measure is a comprehensive tool for assessing food literacy among young people. Additional research is needed to explore the measure's modularity, its use as an evaluation tool, and its suitability for use with diverse samples, including individuals from varied gender, geographic locations, ethnicities, and cultural backgrounds.

Plant-Based Dietary Protein Is Associated with Lower Metabolic Syndrome Risk in Division III Female Athletes: A Pilot Study

BACKGROUND

College athletes are often overlooked for metabolic syndrome (MetS), as their increased physical activity is assumed to reduce their disease risk. However, energy or macronutrient imbalance has been shown to increase risk independent of activity. The purpose of this investigation was to assess the current dietary habits of Division III female athletes and determine their associations with body composition and MetS. Secondly, we sought to determine whether dietary intake and dietary protein source (i.e., animal- and plant-based, ABP and PBP) and quality were associated with MetS, as estimated by the Simple Method for Quantifying Metabolic Syndrome (siMS) score and the siMS risk score, and whether protein pacing was associated with body composition in Division III female athletes.

METHODS

Stepwise linear regression determined whether age (years), body mass (kg), body mass index (BMI; kg/m2), ABP (g/d), PBP (g/d), ABP:PBP, ratio of high-quality to low-quality ABP (ABP QR), relative energy intake (kcal/kg/d), and relative protein, carbohydrate, and fat intake (g/kg/d) were predictors of siMS score and siMS risk score.

RESULTS

Twenty-five athletes (19.6 ± 1.3 years; 65.9 ± 7.0 kg; 23.5 ± 2.0 kg/m2; ABP 71.7 ± 28.2 g/d; PBP 30.0 ± 12.2 g/d) were included in the analyses. An inverse relationship was observed between PBP and the siMS score (F1, 22 = 5.498, p = 0.028) and siMS risk score (F1, 22 = 7.614, p = 0.011). The models explained 20% and 26% of the variance in siMS score and siMS risk score, respectively.

CONCLUSIONS

PBP was associated with lower MetS risk in Division III female athletes, while ABP, regardless of quality, was unrelated. These associations were independent of physical activity in this cohort of Division III female athletes.

Inadequate Dietary Education and Poor Adherence to a High Protein, Low Sodium Diet in Cirrhosis: Mixed Methods Approach

BACKGROUND

Malnutrition in cirrhosis is associated with poor outcomes, leading to guidelines for a high protein, low sodium diet; however, there is no guidance regarding the implementation of diet education in clinical practice.

METHODS

A mixed methods study enrolled 21 patients with cirrhosis and their caregivers. Semi-structured interviews on barriers and facilitators of dietary education and adherence were conducted. Demographic and clinical data were obtained, along with quantitative measures of dietary adherence, including 24-h food recall and spot urine sodium. Combined deductive and inductive coding was used to identify qualitative themes, along with a quantitative assessment of interviews. Quantitative data was reported using descriptive statistics with frequencies, mean and confidence intervals.

RESULTS

Participants were mostly male (16/21) with a mean age 57.8 years (SE 2.8) and MELD-Na 9 (SE 1.2). 4 themes emerged: 1. More than 50% of participants and caregivers endorsed no or inadequate diet education 2. They reported mostly negative experiences with dietary adherence with largest impact on social life 3. Facilitators of adherence included the presence of household support and fear of complications of cirrhosis 4. Overwhelmingly desired non-generic handouts and information. Dietary adherence was poor with only one participant meeting protein and sodium requirements based on food recall. Four participants who adhered to < 2000 mg sodium had inadequate daily caloric intake.

CONCLUSIONS

Dietary education is inadequate, and adherence to dietary recommendations is poor in patients with cirrhosis. Future studies should use these barriers and facilitators for intervention development.

Nutrition users' guides: systematic reviews part 1 -structured guide for methodological assessment, interpretation and application of systematic reviews and meta-analyses of non-randomised nutritional epidemiology studies

Due to the challenges of conducting randomised controlled trials (randomised trials) of dietary interventions, evidence in nutrition often comes from non-randomised (observational) studies of nutritional exposures-called nutritional epidemiology studies. When using systematic reviews of such studies to advise patients or populations on optimal dietary habits, users of the evidence (eg, healthcare professionals such as clinicians, health service and policy workers) should first evaluate the rigour (validity) and utility (applicability) of the systematic review. Issues in making this judgement include whether the review addressed a sensible question; included an exhaustive literature search; was scrupulous in the selection of studies and the collection of data; and presented results in a useful manner. For sufficiently rigorous and useful reviews, evidence users must subsequently evaluate the certainty of the findings, which depends on assessments of risk of bias, inconsistency, imprecision, indirectness, effect size, dose-response and the likelihood of publication bias. Given the challenges of nutritional epidemiology, evidence users need to be diligent in assessing whether studies provide evidence of sufficient certainty to allow confident recommendations for patients regarding nutrition and dietary interventions.

Experience Sampling as a dietary assessment method: a scoping review towards implementation

BACKGROUND

Accurate and feasible assessment of dietary intake remains challenging for research and healthcare. Experience Sampling Methodology (ESM) is a real-time real-life data capturing method with low burden and good feasibility not yet fully explored as alternative dietary assessment method.

METHODS

This scoping review is the first to explore the implementation of ESM as an alternative to traditional dietary assessment methods by mapping the methodological considerations to apply ESM and formulating recommendations to develop an Experience Sampling-based Dietary Assessment Method (ESDAM). The scoping review methodology framework was followed by searching PubMed (including OVID) and Web of Science from 2012 until 2024.

RESULTS

Screening of 646 articles resulted in 39 included articles describing 24 studies. ESM was mostly applied for qualitative dietary assessment (i.e. type of consumed foods) (n = 12), next to semi-quantitative dietary assessment (i.e. frequency of consumption, no portion size) (n = 7), and quantitative dietary assessment (i.e. type and portion size of consumed foods) (n = 5). Most studies used ESM to assess the intake of selected foods. Two studies applied ESM as an alternative to traditional dietary assessment methods assessing total dietary intake quantitatively (i.e. all food groups). ESM duration ranged from 4 to 30 days and most studies applied ESM for 7 days (n = 15). Sampling schedules were mostly semi-random (n = 12) or fixed (n = 9) with prompts starting at 8-10 AM and ending at 8-12 PM. ESM questionnaires were adapted from existing questionnaires, based on food consumption data or focus group discussions, and respond options were mostly presented as multiple-choice. Recall period to report dietary intake in ESM prompts varied from 15 min to 3.5 h.

CONCLUSIONS

Most studies used ESM for 7 days with fixed or semi-random sampling during waking hours and 2-h recall periods. An ESDAM can be developed starting from a food record approach (actual intake) or a validated food frequency questionnaire (long-term or habitual intake). Actual dietary intake can be measured by ESM through short intensive fixed sampling schedules while habitual dietary intake measurement by ESM allows for longer less frequent semi-random sampling schedules. ESM sampling protocols should be developed carefully to optimize feasibility and accuracy of dietary data.

Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study

BACKGROUND

Technology-assisted 24-h dietary recalls (24HRs) have been widely adopted in population nutrition surveillance. Evaluations of 24HRs inform improvements, but direct comparisons of 24HR methods for accuracy in reference to a measure of true intake are rarely undertaken in a single study population.

OBJECTIVES

To compare the accuracy of energy and nutrient intake estimation of 4 technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner.

METHODS

In a controlled feeding study with a crossover design, 152 participants [55% women; mean age 32 y, standard deviation (SD) 11; mean body mass index 26 kg/m2, SD 5] were randomized to 1 of 3 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day [Automated Self-Administered Dietary Assessment Tool-Australia (ASA24); Intake24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)]. When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record (mFR) app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models.

RESULTS

The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI: 0.6, 10.2%) using ASA24, 1.7% (95% CI: -2.9, 6.3%) using Intake24, 1.3% (95% CI: -1.1, 3.8%) using mFR-TA, and 15.0% (95% CI: 11.6, 18.3%) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P < 0.01) except Intake24 (P = 0.1). Differential accuracy in nutrient estimation was present among the methods.

CONCLUSIONS

Under controlled conditions, Intake24, ASA24, and mFR-TA estimated average energy and nutrient intakes with reasonable validity, but intake distributions were estimated accurately by Intake24 only (energy and protein). This study may inform considerations regarding instruments of choice in future population surveillance. This trial was registered at Australian New Zealand Clinical Trials Registry as ACTRN12621000209897.

Minimum Dietary Diversity for Women: Partitioning Misclassifications by Proxy Data Collection Methods using Weighed Food Records as the Reference in Ethiopia

Background

Nonquantitative list-based or open 24-h recalls (24-HRs) have been shown to overestimate the prevalence of Minimum Dietary Diversity for Women (MDD-W), as compared with direct quantitative observations. However, the main sources of error are unknown.

Objectives

To assess the measurement agreement of proxy data collection methods for MDD-W, as compared with weighed food records (WFRs).

Methods

Applying a noninferiority design, data were collected from 431 nonpregnant females in Ethiopia. MDD-W estimates from both proxy data collection methods were compared with the WFR prevalence by McNemar's chi-square tests, Cohen's Kappa, and receiver operator characteristic analyses. Ten-point food group diversity scores (FGDS) were compared by Bland-Altman plots, Wilcoxon matched-pairs tests, and weighted Kappa. Food group misclassifications were partitioned into errors related to respondent biases or the questionnaire development.

Results

List-based and open 24-HRs overreported MDD-W by 8 and 4 percentage points, respectively, as compared with WFR (objective MDD-W prevalence: 8%). Furthermore, list-based 24-HRs overestimated FGDS by 0.4 points (limits of agreement [LOA]: -1.1, 2.0), whereas open 24-HRs led to a 0.3 point (LOA: -1.2, 1.7) overestimate. Food groups most likely to be misreported using proxy data collection methods were "pulses," "nuts and seeds," "dairy products," and "other fruits." Underreporting of consumption occurred among <4% of females for all food groups. Furthermore, respondent biases were the predominant cause of food group overreporting, except for the "pulses" and "other vegetables" food groups, where food items incorrectly included on the food list were the main source of errors.

Conclusions

Food group consumption misclassifications by proxy data collection methods were mainly attributable to females overreporting consumption because of respondent biases or the criterion for foods to be counted, rather than the suboptimal development of the food list in Ethiopia. To obtain precise and accurate MDD-W estimates at the (sub)national level, rigorous context-specific food list development, questionnaire pilot testing, and enumerator training are recommended to mitigate identified biases.

Pre-pregnancy maternal obesity and infant neurodevelopmental outcomes in Latino infants

OBJECTIVE

This study explores the impact of maternal pre-pregnancy BMI on infant neurodevelopment at 24 months in low-income Latino families. It also investigates whether infant diet mediates this relationship.

METHODS

Latino mother-infant pairs (n = 163) were enrolled at 1 month post partum and were followed for 2 years, with assessments at 6-month intervals. Maternal pre-pregnancy anthropometrics were self-reported at baseline, and child neurodevelopment was assessed at 24 months using the Bayley Scales of Infant Development. Diet quality of infants was measured using the Healthy Eating Index (HEI)-2015 and HEI-Toddlers-2020 scores at multiple time points. Mediation and regression models that adjust for maternal factors were used to examine the associations.

RESULTS

Pre-pregnancy BMI showed significant negative associations with child cognitive scores (β = -0.1, 95% CI: -0.2 to -0.06, p < 0.001) and language scores (β = -0.1, 95% CI: -0.2 to -0.03, p = 0.01) at 24 months. Infant HEI-2015 scores at 24 months partly mediated these associations, explaining 23% and 30% of the total effect on cognitive and language subscales, respectively. No specific dietary components in infants mediated the relationship, except for the total HEI-2015 score.

CONCLUSIONS

Managing maternal obesity pre-pregnancy is crucial for improving infant neurodevelopmental outcomes, especially in low-income Latino families. Promoting healthy weight and enhancing infant diet quality can enhance neurodevelopment in these populations.

Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food-Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study

BACKGROUND

Valid assessment tools are needed when investigating adherence to national dietary and lifestyle guidelines.

OBJECTIVE

The relative validity of the new digital food frequency questionnaire, the DIGIKOST-FFQ, against 7-day weighed food records and activity sensors was investigated.

METHODS

In total, 77 participants were included in the validation study and completed the DIGIKOST-FFQ and the weighed food record, and of these, 56 (73%) also used the activity sensors. The DIGIKOST-FFQ estimates the intake of foods according to the Norwegian food-based dietary guidelines (FBDGs) in addition to lifestyle factors.

RESULTS

At the group level, the DIGIKOST-FFQ showed good validity in estimating intakes according to the Norwegian FBDG. The median differences were small and well below portion sizes for all foods except "water" (median difference 230 g/day). The DIGIKOST-FFQ was able to rank individual intakes for all foods (r=0.2-0.7). However, ranking estimates of vegetable intakes should be interpreted with caution. Between 69% and 88% of the participants were classified into the same or adjacent quartile for foods and between 71% and 82% for different activity intensities. The Bland-Altman plots showed acceptable agreements between DIGIKOST-FFQ and the reference methods. The absolute amount of time in "moderate to vigorous intensity" was underestimated with the DIGIKOST-FFQ. However, estimated time in "moderate to vigorous intensity," "vigorous intensity," and "sedentary time" showed acceptable correlations and good agreement between the methods. The DIGIKOST-FFQ was able to identify adherence to the Norwegian FBDG and physical activity recommendations.

CONCLUSIONS

The DIGIKOST-FFQ gave valid estimates of dietary intakes and was able to identify individuals with different degrees of adherence to the Norwegian FBDG and physical activity recommendations. Moderate physical activity was underreported, water was overreported, and vegetables showed poor correlation, which are important to consider when interpreting the data. Good agreement was observed between the methods in estimating dietary intakes and time in "moderate to vigorous physical activity," "sedentary time," and "sleep."

Food Insecurity Is Associated with Diet Quality in Pregnancy: A Cross-Sectional Study

Household food insecurity (HFI) and poorer prenatal diet quality are both associated with adverse perinatal outcomes. However, research assessing the relationship between HFI and diet quality in pregnancy is limited. A cross-sectional online survey was conducted to examine the relationship between HFI and diet quality among 1540 pregnant women in Australia. Multiple linear regression models were used to examine the associations between HFI severity (marginal, low, and very low food security compared to high food security) and diet quality and variety, adjusting for age, education, equivalised household income, and relationship status. Logistic regression models were used to assess the associations between HFI and the odds of meeting fruit and vegetable recommendations, adjusting for education. Marginal, low, and very low food security were associated with poorer prenatal diet quality (adj β = -1.9, -3.6, and -5.3, respectively; p < 0.05), and very low food security was associated with a lower dietary variety (adj β = -0.5, p < 0.001). An association was also observed between HFI and lower odds of meeting fruit (adjusted odds ratio [AOR]: 0.61, 95% CI: 0.49-0.76, p < 0.001) and vegetable (AOR: 0.40, 95% CI: 0.19-0.84, p = 0.016) recommendations. Future research should seek to understand what policy and service system changes are required to reduce diet-related disparities in pregnancy.

Grilling the data: application of specification curve analysis to red meat and all-cause mortality

OBJECTIVES

To present an application of specification curve analysis-a novel analytic method that involves defining and implementing all plausible and valid analytic approaches for addressing a research question-to nutritional epidemiology.

STUDY DESIGN AND SETTING

We reviewed all observational studies addressing the effect of red meat on all-cause mortality, sourced from a published systematic review, and documented variations in analytic methods (eg, choice of model, covariates, etc.). We enumerated all defensible combinations of analytic choices to produce a comprehensive list of all the ways in which the data may reasonably be analyzed. We applied specification curve analysis to data from National Health and Nutrition Examination Survey 2007 to 2014 to investigate the effect of unprocessed red meat on all-cause mortality. The specification curve analysis used a random sample of all reasonable analytic specifications we sourced from primary studies.

RESULTS

Among 15 publications reporting on 24 cohorts included in the systematic review on red meat and all-cause mortality, we identified 70 unique analytic methods, each including different analytic models, covariates, and operationalizations of red meat (eg, continuous vs quantiles). We applied specification curve analysis to National Health and Nutrition Examination Survey, including 10,661 participants. Our specification curve analysis included 1208 unique analytic specifications, of which 435 (36.0%) yielded a hazard ratio equal to or more than 1 for the effect of red meat on all-cause mortality and 773 (64.0%) less than 1. The specification curve analysis yielded a median hazard ratio of 0.94 (interquartile range: 0.83-1.05). Forty-eight specifications (3.97%) were statistically significant, 40 of which indicated unprocessed red meat to reduce all-cause mortality and eight of which indicated red meat to increase mortality.

CONCLUSION

We show that the application of specification curve analysis to nutritional epidemiology is feasible and presents an innovative solution to analytic flexibility.

Development and validation of a short dietary questionnaire for assessing obesity-related dietary behaviours in young children

There are few short, validated tools to assess young children's obesity-related dietary behaviours, limiting the rapid screening of dietary behaviours in research and practice-based early obesity prevention. This study aimed to develop and assess the reliability and validity of a caregiver-reported short dietary questionnaire to rapidly assess obesity-related dietary behaviours in children aged 6 months to 5 years. The Early Prevention of Obesity in Childhood Dietary Questionnaire (EPOCH-DQ) was developed using a rigorous process to determine content and structural validity. Three age-appropriate versions were developed for (1) infants, aged 6-12 months, (2) toddlers, aged 1-2.9 years and (3) pre-schoolers, aged 3-5 years. The questionnaire (7-15 items) measures dietary behaviours, including diet risk from non-core food and beverage intake, diet quality from vegetable frequency, bread type and infant feeding practices. Test-retest reliability was assessed from repeated administrations 1 week apart (n = 126). Internal consistency, concurrent validity (against a comparison questionnaire, the InFANT Food Frequency Questionnaire), construct validity and interpretability were assessed (n = 209). Most scores were highly correlated and significantly associated (p < 0.05) for validity (rs: 0.45-0.89, percentage agreement 68%-100%) and reliability (intraclass correlation coefficient: 0.61-0.99) for diet risk, diet quality and feeding practice items. The EPOCH-DQ shows acceptable validity and reliability for screening of obesity-related behaviours of children under 5 years of age. The short length and, thus, low participant burden of the EPOCH-DQ allows for potential applications in various settings. Future testing of the EPOCH-DQ should evaluate culturally and socio-economically diverse populations and establish the predictive validity and sensitivity to detect change.

A Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study

BACKGROUND

In the Dutch National Food Consumption Survey, dietary intake has been assessed since 2003 through 24-hour dietary recalls using the GloboDiet software. A new self-administered smartphone food record app called DitEetIk! was developed for potential use in future surveys.

OBJECTIVE

This study aims to evaluate the data collected using the DitEetIk! app and its relative validity for food group, energy, and nutrient intake compared with the previous dietary assessment method (GloboDiet 24-hour dietary recalls).

METHODS

A total of 300 participants aged 18 to 79 years were recruited from a consumer panel. Participants were asked to keep a record of their consumption using the DitEetIk! app on 3 nonconsecutive days. Trained dietitians conducted a 24-hour dietary recall interview by telephone using the GloboDiet software (International Agency for Research on Cancer) regarding 1 of 3 DitEetIk! recording days. Nutrient intake was calculated using the NEVO database (version 2021/7.0). Relative validity was studied by comparing data from GloboDiet 24-hour dietary recalls and the DitEetIk app for the same day. Participants with implausible records, defined as days with energy intake of <0.6 or >3.0 basal metabolic rate, were excluded from the analyses. For 19 food groups and 29 nutrients, differences in median intake were assessed using the Wilcoxon signed rank test, and Spearman correlation coefficients were calculated. Bland-Altman plots with mean differences and 95% limits of agreement were created for energy intake and the contribution to energy intake from fat, carbohydrates, and protein.

RESULTS

A total of 227 participants completed a combination of a DitEetIk! app recording day and a 24-hour dietary recall interview for the same day. Of this group, 211 participants (n=104, 49.3% men and n=107, 50.7% women) had plausible recording days. Of all recorded food items, 12.8% (114/894) were entered via food barcode scanning, and 18.9% (169/894) were searched at the brand level. For 31% (5/16) of the food groups, the median intake assessed using the DitEetIk! app was >10% lower than that assessed using 24-hour dietary recalls; this was the case for fruit (P=.005), added fats (P=.001), milk and milk products (P=.02), cereal products (P=.01), and sauces (P<.001). This was also the case for 14% (4/29) of the nutrients (all P<.001). Regarding mean intake, differences were generally smaller. Regarding energy intake, the mean difference and 95% limits of agreement were 14 kcal (-1096 to 1124). Spearman correlation coefficients between intake assessed using the DitEetIk! app and 24-hour dietary recalls ranged from 0.48 to 0.88 (median 0.78) for food groups and from 0.58 to 0.90 (median 0.72) for nutrients.

CONCLUSIONS

Compared with GloboDiet 24-hour dietary recalls, the DitEetIk! app assessed similar mean energy intake levels but somewhat lower median intake levels for several food groups and nutrients.

Perceiving a need for dietary change in adults living with and beyond cancer: A cross-sectional study

BACKGROUND

Many people living with and beyond cancer (LWBC) do not meet dietary recommendations. To implement a healthier diet, people LWBC must perceive a need to improve their diet.

METHODS

Participants included people diagnosed with breast, prostate or colorectal cancer in the UK. Two binary logistic regression models were conducted with perceived need for dietary change as the outcome (need to improve vs. no need). Predictor variables included demographic and clinical characteristics, receipt of dietary advice, and either body mass index (BMI) or adherence to seven relevant World Cancer Research Fund (WCRF) dietary recommendations.

RESULTS

The sample included 5835 responses. Only 31% perceived a need to improve their diet. Being younger (odds ratio [OR] 0.95, 95% confidence interval [CI] = 94-0.95), female (OR = 1.33, 95% CI = 1.15-1.53), not of white ethnicity (OR = 1.8, 95% CI = 1.48-2.27), not married/cohabiting (OR = 1.32, 95% CI = 1.16-1.52) and having received dietary advice (OR = 1.36, 95% CI = 1.43-1.86) was associated with an increased odds of perceiving a need to improve diet. This association was also seen for participants with two or more comorbidities (OR = 1.31, 95% CI = 1.09-1.57), those not meeting the recommendations for fruit and vegetables (OR = 0.47, 95% CI = 0.41-0.55), fat (OR = 0.67, 95% CI = 0.58-0.77), and sugar (OR = 0.86, 95% CI = 0.75-0.98) in the dietary components model and those who had a higher BMI (OR = 1.53, 95% CI = 1.32-1.77) in the BMI model.

CONCLUSIONS

Most of this sample of people LWBC did not perceive a need to improve their diet. More research is needed to understand the reasons for this and to target these reasons in dietary interventions.

Newly developed dietary assessment tools for lutein and zeaxanthin are correlated with 24-hour diet recalls, but are not a valid measure of intake in Australian and United Kingdom adults

Habitual dietary intake measurement of carotenoids lutein and zeaxanthin (L/Z) has often been omitted or attempted with tools of unknown validity in past research. It was hypothesized that the dietary assessment tool, the L/Z screener, developed as part of this study, would be valid with agreement within 0.25 mg/day when compared against multiple 24-hour diet recalls in healthy Australian and United Kingdom adults. Two screeners with 91 food items were developed, 1 with a recall timeframe of a month and the other a week. Over 4 weeks, 56 Australian and 47 United Kingdom participants completed 4 weekly screeners, 2 monthly screeners, and eight 24-hour diet recalls. Validity was assessed through Bland-Altman plot analysis. L/Z intake measured by all tools was significantly correlated, with correlation coefficients from 0.58 to 0.83. Despite these correlations, the screeners were not valid, with poor Bland-Altman plot agreement when compared with the diet recalls. The Australian weekly screener performed best, demonstrating a mean difference of 0.51 mg/day and 95% limits of agreement between -1.46 mg/day and 2.49 mg/day of L/Z intake. Baby spinach, broccoli, and pumpkin provided the greatest proportion of L/Z intake. The low validity may be explained by high rates of misestimation or missed capture of moderate to high L/Z containing foods such as baby spinach. Prior research reliant on correlational statistics for L/Z tool validity should be interpreted with caution, and future screener development should prioritize accurate capture of high contribution foods.

Assessing electronic device use behaviours in healthy adults: development and evaluation of a novel tool

BACKGROUND

Chronic exposure of the macula to blue light from electronic devices has been identified as a potential macular health concern. The impacts remain poorly investigated as no validated methods to capture usual device use behaviours exist.

PURPOSE

The aim of this study was to develop and validate the Electronic Device Use Questionnaire (EDUQ) against multiple 24-h electronic device use diaries in healthy Australian and United Kingdom adults.

METHODS

The EDUQ and diaries were developed to capture device use across categories (television, computer and handheld devices). Over eight weeks 56 Australian and 24 United Kingdom participants completed three questionnaires and eight diaries via online platforms. Tool validity was determined through Bland-Altman plot analysis of mean daily hours of device use between the tools.

RESULTS

The EDUQ demonstrated poor validity in both cohorts with poor agreement when compared with the diaries. When the device categories were combined, a mean difference between the tools of 1.54 h/day, and 95% limits of agreement between -2.72 h/day and 5.80 h/day was observed in the Australian cohort. Across both cohorts and all device categories the mean differences indicated individuals were more likely to report higher device use through the questionnaire rather than diaries.

CONCLUSIONS

The EDUQ is a novel tool and demonstrated the difficulty for participants of accurately recalling usual behaviour of device use. Poor agreement in reported device use occurred across all device categories. The poor agreement may be related to factors such as memory recall bias, and the number of diaries captured not being reflective of usual use. Future studies should look to address these factors to improve validity of device use capture.

Assessing the performance of national sentinel food lists at subnational levels in six countries

OBJECTIVE

To assess how well national sentinel lists of the most frequently consumed foods in each food group capture data at subnational levels to measure minimum diet diversity (MDD).

DESIGN

We analysed data from seven surveys with 24-h open dietary recalls to evaluate: (1) the percentage of reported foods that were included in each sentinel food list; (2) whether these lists captured consumption of some food groups better than others and (3) differences between estimates of dietary diversity calculated from all food items mentioned in the open 24-h recall v. only food items included in the sentinel lists.

SETTING

Seven subnational areas: Bangladesh (2), Benin, Colombia, Kenya, Malawi and Nepal.

PARTICIPANTS

8094 women 15-49 years; 4588 children 6-23 months.

RESULTS

National sentinel food lists captured most foods reportedly consumed by women (84 %) and children (86 %). Food groups with the highest variability were 'other fruits' and 'other vegetables.' MDD calculated from the sentinel list was, on average, 6·5 (women) and 4·1 (children) percentage points lower than when calculated from open 24-h recalls, with a statistically significant difference in most subnational areas.

CONCLUSION

National sentinel food lists can provide reliable data at subnational levels for most food groups, with some variability by country and sub-region. Assessing the accuracy of national sentinel food lists, especially for fruits and vegetables, before using them at the subnational level could avoid potentially underestimating dietary diversity and provide more accurate local information for programmes, policy and research.

Construct validity and reliability of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations

For the first time since its introduction, the 2019 Canada's Food Guide (2019-CFG) highlighted specific guidance on eating practices, i.e., recommendations on where, when, why, and how to eat. The Canadian Eating Practices Screener / Questionnaire court canadien sur les pratiques alimentaires was developed to assess eating practices based on the 2019-CFG healthy eating recommendations. The objective of this cross-sectional study was to assess the construct validity and reliability of the Canadian Eating Practices Screener. From July to December 2021, adults (n = 154) aged 18-65 years completed a sociodemographic questionnaire and the screener. Construct validity was assessed by examining variability in screener scores, by comparing screener scores among subgroups with hypothesized differences in eating practices, and by examining the correlation between screener scores and fruit and vegetable intake. Reliability, i.e., internal consistency, was assessed by calculating Cronbach's coefficient alpha. Screener item scores were summed to provide a total score ranging from 21 to 105. The mean screener score was 76 (SD = 8.4; maximum, 105), ranging from 53 (1st percentile) to 92 (99th percentile). Differences in total scores in hypothesized directions were observed by age (p = 0.006), perceived income adequacy (p = 0.09), educational attainment (p = 0.002), and smoking status (p = 0.09), but not by gender or health literacy level. The correlation between screener scores and fruit and vegetable intake was 0.29 (p = 0.002). The Cronbach's coefficient alpha was 0.79, suggesting acceptable to high internal consistency. Study findings provide preliminary evidence of the screener's construct validity and reliability, supporting its use to assess eating practices based on the 2019-CFG healthy eating recommendations.

Adolescent Diet Quality, Cardiometabolic Risk, and Adiposity: A Prospective Cohort

OBJECTIVE

Examine the prospective association among diet with adolescent cardiometabolic risk (CMR) and anthropometrics.

METHODS

Secondary analysis of an observational study of adolescents aged 10-16 years. Twenty-four-hour food recalls were used to calculate Healthy Eating Index-2015 (HEI-2015) scores. Anthropometrics were assessed using magnetic resonance imaging, dual-energy x-ray absorptiometry, and height/weight measurements. CMR included mean arterial pressure, homeostatic model assessment for insulin resistance, high-density lipoprotein cholesterol, and triglycerides. Associations between HEI-2015 score at baseline with follow-up adiposity and CMR were examined using regression models.

RESULTS

A total of 192 adolescents were included. Baseline HEI-2015 scores were inversely associated with follow-up total CMR z-score (P = 0.01), homeostatic model assessment for insulin resistance (P < 0.01), waist circumference z-score (P = 0.02), body mass index percentile (P = 0.01), fat mass (P = 0.04), lean mass (P = 0.02), and visceral adipose tissue mass (P = 0.01).

CONCLUSIONS AND IMPLICATIONS

Adolescents with lower adherence to dietary guidelines and greater CMR and anthropometry measurements at baseline continued this trajectory across the observation.

Review of Validated Methods to Evaluate Diet History in Diet Therapy and Counselling: An Overview and Analysis of Screeners Based on Food-Based Dietary Guidelines

Evidence-based dietetic practice calls for systematically developed assessment methods for nutritional assessment in dietetic counselling and therapy (DCT). Screeners can provide a quick and easy way to determine a client's diet quality and contribute to quality assurance in DCT. The aim of this systematic review was to give a comparative overview of screeners based on national food-based dietary guidelines (FBDGs) and to derive recommendations for developing an FBDG-based screener for DCT. The literature search in PubMed (MEDLINE), embase and Web of Science was conducted between May and July 2022, and updated in March 2023, in accordance with the consensus-based standards for the selection of health measurement instruments (COSMIN). The analysis focused on characteristics of screener design and measurement properties for screener testing. In total, 13 studies on 11 screeners based on FBDGs were included; 7 screeners were targeted to DCT. The content and scoring of screeners were based on the corresponding national FBDGs. The validity and/or reliability of screeners were investigated in 11 studies; responsiveness was not tested for any screener and practicality was considered in all studies. Based on the screeners reviewed, a systematic rationale to develop, enhance and test screeners based on national FBDGs was established.

Dietary Assessment and Metabolomic Methodologies in Human Feeding Studies: A Scoping Review

Dietary metabolomics is a relatively objective approach to identifying new biomarkers of dietary intake and for use alongside traditional methods. However, methods used across dietary feeding studies vary, thus making it challenging to compare results. The objective of this study was to synthesize methodological components of controlled human feeding studies designed to quantify the diet-related metabolome in biospecimens, including plasma, serum, and urine after dietary interventions. Six electronic databases were searched. Included studies were as follows: 1) conducted in healthy adults; 2) intervention studies; 3) feeding studies focusing on dietary patterns; and 4) measured the dietary metabolome. From 12,425 texts, 50 met all inclusion criteria. Interventions were primarily crossover (n = 25) and parallel randomized controlled trials (n = 22), with between 8 and 395 participants. Seventeen different dietary patterns were tested, with the most common being the "High versus Low-Glycemic Index/Load" pattern (n = 11) and "Typical Country Intake" (n = 11); with 32 providing all or the majority (90%) of food, 16 providing some food, and 2 providing no food. Metabolites were identified in urine (n = 31) and plasma/serum (n = 30). Metabolites were quantified using liquid chromatography, mass spectroscopy (n = 31) and used untargeted metabolomics (n = 37). There was extensive variability in the methods used in controlled human feeding studies examining the metabolome, including dietary patterns tested, biospecimen sample collection, and metabolomic analysis techniques. To improve the comparability and reproducibility of controlled human feeding studies examining the metabolome, it is important to provide detailed information about the dietary interventions being tested, including information about included or restricted foods, food groups, and meal plans provided. Strategies to control for individual variability, such as a crossover study design, statistical adjustment methods, dietary-controlled run-in periods, or providing standardized meals or test foods throughout the study should also be considered. The protocol for this review has been registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/DAHGS).

Skin Carotenoids Measured by Reflection Spectroscopy Correlate with Dietary Carotenoid Intake in Racially and Ethnically Diverse US Toddlers from Houston, Texas

BACKGROUND

Methods to objectively assess fruit and vegetable (FV) intake in young children are needed in order to support rigorous assessments of policies and interventions. Non-invasive skin carotenoid concentration measurements may provide a rapid assessment of toddler carotenoid and carotenoid-rich FV intake. background OBJECTIVE: The aim of this study was to evaluate the relationship between pressure-mediated reflection spectroscopy-measured skin carotenoid scores (SCSs) with proxy-reported carotenoid and FV intake in racially and ethnically diverse, US toddlers.

DESIGN

This study was a secondary analysis of data obtained from a randomized, controlled 10-week study of the effect of an interactive healthy playgroup intervention versus classroom parent education on the diet and physical activity of toddlers. This study collected skin carotenoid and 1-week dietary intake using a 31-item semi-quantitative food frequency questionnaire analyzed by Nutrient Data System for Research nutrient database. The current study determined dietary predictors of toddler SCSs.

PARTICIPANTS/SETTING

Participants were racially and ethnically diverse toddlers (12-36 months) and adult guardian dyads (N=50) recruited from the community in Houston, TX from Fall 2018-Spring 2019.

MAIN OUTCOME MEASURES

At baseline and 10-12 weeks after baseline, SCSs were measured by pressure-mediated reflection spectroscopy (Veggie Meter (TM)), guardians reported toddler diet using a food frequency questionnaire (FFQ), and carotenoid intake was estimated from the FFQ responses using a nutrient database.

STATISTICAL ANALYSIS

The relationship between toddler SCSs and intake of total and individual carotenoid species, and FV servings was tested using generalized linear mixed models, controlling for BMI-for-age percentiles, group assignment, and age.

RESULTS

SCSs were positively and significantly predicted by estimated intakes of total carotenoids (p=0.002), beta-carotene (p=<0.001), and lutein & zeaxanthin (p=0.003). Reported intakes of alpha-carotene, beta-cryptoxanthin, and lycopene were not predictors of SCS. Skin carotenoid scores were predicted by estimated total FV intake (p=0.047) and vegetable intake (p=0.006), but not fruit intake (p=0.580). results CONCLUSION: These results showed that reported dietary carotenoid intake is a significant predictor of SCSs in an ethnically and racially diverse population of toddlers. Toddler skin carotenoid measurement holds promise as a rapid, objective, non-invasive biomarker of dietary carotenoid intake.

CONCLUSION

Reliability of a frequency method for assessing vegetable intake using photos among college students: a smart phone approach

OBJECTIVE

To measure the interrater reliability of assessing the frequency of vegetable intake using mobile photos and descriptions.

DESIGN

Repeated measures design.

SETTING

A Midwestern university.

PARTICIPANTS

Undergraduate students (N = 165).

MEASURABLE OUTCOME/ANALYSIS

Number of times each of these vegetable subgroups were consumed daily: dark green vegetables, beans and peas, starchy vegetables, and other vegetables. Analysis: Two raters independently coded meals using mobile photos and descriptions of meals. Cohen κ was calculated to determine interrater reliability.

RESULTS

A value of κ = 0.9 (p < .001) was obtained, indicating an almost perfect agreement between the two raters. Nearly 92% of participants complied with providing photos along with descriptions of their meals.

CONCLUSIONS AND IMPLICATIONS

A frequency method using mobile photos and descriptions of meals is a reliable strategy to assess vegetable consumption. This frequency method can improve data quality, reduce participant burden, and minimize recall bias in college nutrition programs.

Developmental origins of health and disease knowledge is associated with diet quality in preconception young adult men and women

The Developmental Origins of Health and Disease (DOHaD) approach supports that nutritional exposures in early life affect an individual's later health and risk of disease. Dietary exposure during the preconception period may also influence individual, and inter- and transgenerational health and disease risk, in both men and women. This study aimed to describe knowledge of the DOHaD approach (DOHaDKNOWLEDGE) and diet quality in preconception young adults in Norway, to assess associations between DOHaDKNOWLEDGE and a Diet Quality Score (DQS), and to assess gender differences in those above. Data from 1362 preconception young adults was obtained from the PREPARED study baseline dataset. The sample had 88% women participants, a mean age of 27 years, 36% had overweight or obesity, and 77% had higher level of education. DOHaDKNOWLEDGE was assessed by the participants' agreement to five statements using a Likert scale. Diet quality was assessed using aspects of diet quality and a DQS derived from a dietary screener. We found moderate level of both DOHaDKNOWLEDGE (12/20 points) and diet quality (DQS: 60/100 points), indicating potential for improvements. Specifically, the greatest potential for diet quality improvements were observed for sugary foods, red and processed meats, legumes, and unsalted nuts and seeds. Gender differences were observed for both DOHaDKNOWLEDGE and diet quality. DOHaDKNOWLEDGE was positively associated with DQS, adjusted for sociodemographic factors, with little evidence of an interaction effect by gender. This study indicates that knowledge of the DOHaD approach is positively associated with diet quality in preconception young men and women. Future studies should consider incorporating pregnancy intentions, relationship status, and health literacy.

Evaluation of the Healthy Eating Index-Toddlers-2020

BACKGROUND

With the addition of new guidance for children from birth to 24 months in the Dietary Guidelines for Americans, 2020-2025 (DGA), a Healthy Eating Index (HEI) was developed for toddlers.

OBJECTIVE

To evaluate the psychometric properties of the HEI-Toddlers-2020, 5 analyses relevant to construct and concurrent validity and 2 related to reliability were examined.

DESIGN

Twenty-four-hour diet recall data from the cross-sectional National Health and Nutrition Examination Survey (2011-2018) were used. In addition, exemplary menus were analyzed.

PARTICIPANTS/SETTING

The main analytic sample included toddlers aged 12 through 23 months (n = 838), with additional analyses of toddlers aged 12 through 35 months (n = 1,717) from the United States. Included participants had valid diet recalls and available weight-for-age data.

MAIN OUTCOME MEASURES

Outcomes measures included HEI-Toddlers-2020 total and component scores on menus, population distributions, and correlations.

STATISTICAL ANALYSES

HEI total and component scores were calculated using menus from the American Academy of Pediatrics and Healthy Eating Research. Score means and distributions were estimated using a Markov Chain Monte Carlo approach with National Health and Nutrition Examination Survey data (2011-2018). Principal component analysis explored dimensions and Pearson correlations examined components, energy, and Cronbach α. In addition, HEI-Toddlers-2020 and HEI-2020 scores were compared for identical intakes at age 24 months.

RESULTS

For validity, exemplary menus received high scores with the HEI-Toddlers-2020. The mean ± SE total HEI-Toddlers-2020 score for toddlers aged 12 through 23 months was 62.9 ± 0.78 and ranged from 40.1 to 84.4 (1st to 99th percentile). Correlation between diet quality and diet quantity was low (-0.15); the scree plot revealed multiple factors. In addition, total scores for identical intakes were approximately 1.5 points higher for HEI-Toddlers-2020 compared with HEI-2020 (difference range for component scores, -4.97 to 4.89). For reliability, most of the intercorrelations among components were low to moderate (0 to 0.49), with a few exceptions among related components. Cronbach α was .48. These results indicate that the index is multidimensional, with no single component driving the total score, and no unnecessary components that are highly correlated with another component.

CONCLUSIONS

The results demonstrated evidence supportive of validity and reliability. The HEI-Toddlers-2020 can be used to assess alignment with the DGA for toddlers.

Major Gaps in Understanding Dietary Supplement Use in Health and Disease

Precise dietary assessment is critical for accurate exposure classification in nutritional research, typically aimed at understanding how diet relates to health. Dietary supplement (DS) use is widespread and represents a considerable source of nutrients. However, few studies have compared the best methods to measure DSs. Our literature review on the relative validity and reproducibility of DS instruments in the United States [e.g., product inventories, questionnaires, and 24-h dietary recalls (24HR)] identified five studies that examined validity (n = 5) and/or reproducibility (n = 4). No gold standard reference method exists for validating DS use; thus, each study's investigators chose the reference instrument used to measure validity. Self-administered questionnaires agreed well with 24HR and inventory methods when comparing the prevalence of commonly used DSs. The inventory method captured nutrient amounts more accurately than the other methods. Reproducibility (over 3 months to 2.4 years) of prevalence of use estimates on the questionnaires was acceptable for common DSs. Given the limited body of research on measurement error in DS assessment, only tentative conclusions on these DS instruments can be drawn at present. Further research is critical to advancing knowledge in DS assessment for research and monitoring purposes.

Concordance between Dash Diet and Hypertension: Results from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study

High blood pressure is an important predictor of atherosclerotic cardiovascular disease (ASCVD), particularly among South Asians, who are at higher risk for ASCVD when compared to other population groups. The Dietary Approaches to Stop Hypertension (DASH) dietary pattern is established as the best proven nonpharmacological approach to preventing hypertension in adults. Using data from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort, we calculated a DASH dietary score to examine the association between adherence to the DASH diet and its components, and prevalent and incident hypertension and systolic and diastolic blood pressure, after five years of follow-up. We found that the relative risk ratio (RRR) of incident hypertension was 67% lower among participants in the highest DASH diet score category (aRRR: 0.33; 95% CI: 0.13, 0.82; ptrend = 0.02) compared with those in the lowest DASH diet score category in fully adjusted models. These findings are consistent with previous clinical trials and large prospective cohort studies, adding to evidence that supports the diet-disease relationship established between DASH diet and hypertension. This study is the first to examine DASH diet adherence and hypertension among South Asian adults in the U.S.

Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study

BACKGROUND

Data on dietary intakes in Russian adults and children are assessed very infrequently primarily due to the time, cost, and burden to the participants for assessing dietary patterns. To overcome some of those challenges, the use of web-based 24-hour recall methods can be successfully used.

OBJECTIVE

The study objective is to assess the extent of agreement between a self-administered and an interviewer-administered 24-hour dietary recall in Russian adults and school-aged children using an adaptation of a web-based 24-hour recall tool.

METHODS

This web-based dietary assessment tool is based on a previously validated tool, which has been adapted to the Russian diet and language. A randomized 50% (n=97) of 194 participants initially completed a self-administered web-based dietary recall, followed by an interviewer-administered 24-hour dietary recall later that same day, and vice versa for the other 50% (n=97) of participants. Following at least 1 week wash-out period, during visit 2, participant groups completed the 2 dietary recalls in the opposite order. Statistical analysis was carried out on the intake results from both methods for the 2 recalls. Finally, an evaluation questionnaire on ease-of-use of the tool was also completed.

RESULTS

In total, intakes of 28 nutrients and energy were analyzed in this study. The Bland-Altman analysis showed that between 98.4% and 90.5% of data points were within the limits of agreement among all age groups and nutrients analyzed. A "moderate to excellent" reliability between the 2 methods was observed in younger children. In older children, a "moderate to good" reliability was observed, with the exception of sodium. In adults, "moderate to excellent" reliability between both methods was observed with the exception of vitamins B1, B2, and B6, and pantothenic acid. The level of agreement between the categorization of estimates into thirds of the intake distribution for the average of the 2 days was satisfactory, since the percentages of participants categorized into the same tertile of intake were ˃50%, and the percentages of participants categorized into the opposite tertile of intake were <10%. The majority of respondents were very positive in their evaluation of the web-based dietary assessment tool.

CONCLUSIONS

Overall, the web-based dietary assessment tool performs well when compared with a face-to-face, interviewer-administered 24-hour dietary recall and provides comparable estimates of energy and nutrient intakes in Russian adults and children.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04372160; https://clinicaltrials.gov/ct2/show/NCT04372160.

Development of the Canadian Food Intake Screener to assess alignment of adults' dietary intake with the 2019 Canada's Food Guide healthy food choices recommendations

NOVELTY

The Canadian Food Intake Screener was developed to rapidly assess alignment of adults' dietary intake over the past month with the Food Guide's healthy food choices recommendations. The screener was developed and evaluated through an iterative process that included three rounds of cognitive interviews in each of English and French, along with ongoing feedback from external advisors and face and content validity testing with a separate panel of content experts. The 16-question screener is intended for use with adults, aged 18-65 years, with marginal and higher health literacy in research and surveillance contexts in which comprehensive dietary assessment is not possible.

Validation of a parent proxy-reported beverage screener compared to a 24-hour dietary recall for the measurement of sugar-containing beverage intake among young children

Measures that can provide reasonably accurate estimates of sugar-containing beverage (SCB) intake among children are needed. The primary objective of this study was to evaluate the relative validity of a short beverage screener (Nutrition and Health Questionnaire, NHQ) compared to a 24-hour recall (Automated Self-Administered 24-h (ASA24) Dietary Assessment Tool-Canada) for assessing parent proxy-reported daily SCB intake among children aged 4-14 years from the TARGet Kids! research network in Toronto, Canada. Children for whom a NHQ completed between March 2018 and June 2019 and an ASA24 completed within one year were included. A total of 471 parents who completed the NHQ beverage screener were also asked to complete the ASA24. One-hundred sixty-three completed the ASA24 and of this group, 109 were analyzed. Estimates of daily intake of 100% juices, sweetened drinks and soda, and total SCBs from the two measures were compared. The mean difference in beverage intake, Spearman correlations, and Bland-Altman plots were estimated for continuous measures. The kappa coefficient, sensitivity, and specificity were calculated for dichotomous measures of any daily intake versus none. The mean difference in total SCB intake between the NHQ and ASA24 was 0.14 cups/day (95% CI 0.01, 0.29) and the correlation was 0.43 (95% CI 0.26, 0.57). Sensitivity and specificity for any daily SCB intake were 0.63 and 0.76, respectively. Overall, parent proxy-reporting of children's total SCB intake from a beverage screener can provide reasonable estimates of SCB intake when detailed dietary assessment is not feasible.

Development of a Food List to Assess the Diet of South Asians Living in the U.S.: Preliminary Results From a Formative Study

Introduction

South Asians are an underrepresented population subgroup in the U.S., yet they have higher rates of chronic diseases. There is currently no tool that assesses the nutrition intake of South Asians in the U.S., despite their unique dietary profile that may be associated with disease outcomes. The objective of this preliminary study was to create a food list, inclusive of herbs and spices, that will be used in the development of the web-based South Asian Food Intake System for dietary assessment of South Asian adults living in the U.S.

Methods

Authors used a Qualtrics survey to collect sociodemographic information (n=66), and 24-hour diet recall and Home Food Inventory interviews were conducted through Zoom (n=31). Grocery store tours and cookbook and existing food frequency questionnaire review were conducted.

Results

A food list of 484 individual food items was generated. These items were sorted into 12 main food categories and condensed into 302 line items. Most respondents (68%) reported consuming South Asian meals regularly and utilizing herbs/spices during food preparation (83%).

Conclusions

This pilot study describes the data collection to develop a food list for the South Asian Food Intake System, which can be utilized by educators, clinicians, and researchers to more accurately collect information about dietary intake among South Asian Americans.

Too low protein and energy intake in nursing homes residents

OBJECTIVES

An optimal diet contributes to reducing malnutrition prevalence in the nursing home population. For this population, recommended daily intakes are ≥1.0 g protein/kg body weight and ≥27 energy kcal/kg body weight. The aim of this study was to identify the protein and energy intake of nursing home residents and to assess groups at increased risk for low intake.

METHODS

Cross-sectional data regarding food intake was collected by three-day observations in 189 residents (aged ≥65 y, mean age 85.0 y) of five different nursing homes. Linear mixed models were used to examine associations of protein and energy intake as dependent variables with demographic and disease-related problems as determinants. Results were adjusted for age, sex, and mobility levels and stratified by a protein/energy-enriched diet (P/E+).

RESULTS

The daily protein intake of the residents was 0.80 (SD 0.22) g/kg body weight, with 84.7% having an intake below the recommended daily 1 g/kg body weight. Mean daily energy intake was 20.7 (SD 6.1) kcal/kg body weight, with 85.2% having an intake below recommendation. Protein/energy intake was higher in the P/E+ group compared with standard diet: 0.92 (SD 0.23) versus 0.74 (SD 0.19) g/kg body weight, and 23.9 (SD 6.1) versus 19.1 (SD 5.4) kcal/kg body weight, respectively. The oldest age groups (>85 y), chair-bound residents, women, and residents having difficulties with chewing, dysphagia, a reported decreased food intake, or a decreased appetite were at a higher risk for a low protein/energy intake.

CONCLUSION

Nearly all nursing home residents were at increased risk for not meeting the minimum protein/energy requirements. Intakes should, on average, be increased with ≥15 g protein and ≥520 kcal to reach the minimum intake targets. Although using a P/E+ diet was associated with higher intakes, even these residents had intakes below the requirements.

Intraoral scanner-based monitoring of tooth wear in young adults: 24-month results

OBJECTIVES

Tooth wear causes irreversible cumulated surface loss and already occurs at a young age. Therefore, the objective of this clinical prospective observational study was to monitor the occlusal surface of a mandibular first molar in young adults for a period of 24 months. Furthermore, potential aetiological factors obtained by a questionnaire were considered.

MATERIALS AND METHODS

The study teeth (FDI #36 or #46) of 81 participants (mean age 22.8 ± 2.2 years) were scanned with the intraoral scanner (IOS, Trios 3, 3Shape) at the second follow-up (T2) after an observation period of 24 months. Standard-tessellation-language datasets were superimposed with baseline (T0) and T2 scans in 3D analysis software (GOM Inspect). The maximum vertical substance loss was measured between T0 and T2 at 6/7 areas (4/5 cusps and 2 ridges) of each study tooth and data compared to the already published data of the first follow-up (T1) after 12-month observation period. The morphology of tooth wear was classified into three groups: cupping (C), facet (F) and combined cupping-facet (CF). The analysis of aetiological factors, such as acid impacts, was based on a questionnaire filled out by participants at time points T0, T1 and T2. Non-parametric tests were used for statistical analysis (p < 0.05).

RESULTS

The buccal load-bearing cusps (mesiobuccal: median 15 μm, 95%CI 11/18 μm; mesiolingual 8 μm, 0/11 μm) were most affected by tooth wear. Loss values increased significantly at T2 compared to T1 for all areas, although significantly less than in the first 12 months (T0-T1). Areas that already exhibited F at T0 mostly displayed them also at T2 and only rarely developed further into C or CF. The only association between aetiological factors and loss values could be detected for sex as males had significantly higher loss values than females.

CONCLUSIONS

Progression of tooth wear could be clearly shown with high interindividual variations in loss values among participants. This indicates the need for individual monitoring with IOS.

CLINICAL RELEVANCE

IOSs show the potential for patient-specific monitoring to detect the progression of tooth wear. Thus, data of 24 months fills the gap of tooth wear data for young adults in literature. Further studies over a longer observation period are highly recommended to gain more information about the dynamic of tooth wear and aetiological factors.

Perspectives on the application of CONSORT guidelines to randomised controlled trials in nutrition

PURPOSE

Reporting guidelines facilitate quality and completeness in research reporting. The CONsolidated Standards Of Reporting Trials (CONSORT) statement is widely applied to dietary and nutrition trials but has no extension specific to nutrition. Evidence suggests poor reporting in nutrition research. The Federation of European Nutrition Societies led an initiative to make recommendations for a nutrition extension to the CONSORT statement towards a more robust reporting of the evidence base.

METHODS

An international working group was formed of nutrition researchers from 14 institutions in 12 different countries and on five continents. Using meetings over a period of one year, we interrogated the CONSORT statement specifically for its application to report nutrition trials.

RESULTS

We provide a total of 28 new nutrition-specific recommendations or emphasised recommendations for the reporting of the introduction (three), methods (twelve), results (five) and discussion (eight). We also added two additional recommendations that were not allocated under the standard CONSORT headings.

CONCLUSION

We identify a need to provide guidance in addition to CONSORT to improve the quality and consistency of the reporting and propose key considerations for further development of formal guidelines for the reporting of nutrition trials. Readers are encouraged to engage in this process, provide comments and conduct specific studies to inform further work on the development of reporting guidelines for nutrition trials.

Adherence to a traditional Mexican diet and non-communicable disease-related outcomes: secondary data analysis of the cross-sectional Mexican National Health and Nutrition Survey

This study evaluated the association between adherence to a traditional Mexican diet (TMexD) and obesity, diabetes and CVD-related outcomes in secondary data analysis of the cross-sectional Mexican National Health and Nutrition Survey 2018-2019. Data from 10 180 Mexican adults were included, collected via visits to randomly selected households by trained personnel. Adherence to the TMexD (characterised by mostly plant-based foods like maize, legumes and vegetables) was measured through an adapted version of a recently developed TMexD index, using FFQ data. Outcomes included obesity (anthropometric measurements), diabetes (biomarkers and diagnosis) and CVD (lipid biomarkers, blood pressure, hypertension diagnosis and CVD event diagnosis) variables. Percentage differences and OR for presenting non-communicable disease (NCD)-related outcomes (with 95 % CI) were measured using multiple linear and logistic regression, respectively, adjusted for relevant covariates. Sensitivity analyses were conducted according to sex, excluding people with an NCD diagnosis and using multiple imputation. In fully adjusted models, high, compared with low, TMexD adherence was associated with lower insulin (-9·8 %; 95 % CI (-16·0, -3·3)), LDL-cholesterol (-4·3 %; 95 % CI (-6·9, -1·5)), non-HDL-cholesterol (-3·9 %; 95 % CI (-6·1, -1·7)) and total cholesterol (-3·5 %; 95 % CI (-5·2, -1·8)) concentrations. Men and those with no NCD diagnosis had overall stronger associations. Effect sizes were smaller, and associations weakened in multiple imputation models. No other associations were observed. While results may have been limited due to the adaptation of a previously developed index, the results highlight the potential association between the TMexD and lower insulin and cholesterol concentrations in Mexican adults.

Validation of the smartphone-based dietary assessment tool 'Traqq' for assessing actual dietary intake by repeated 2-hour recalls in adults: comparison with 24h recalls and urinary biomarkers

BACKGROUND

Conventional dietary assessment methods are affected by measurement error. We developed a smartphone-based 2-hour recall (2hR) methodology to reduce participant burden and memory-related bias.

OBJECTIVE

Assessing the validity of the 2hR method against traditional 24-hour recalls (24hRs) and objective biomarkers.

METHODS

Dietary intake was assessed in 215 Dutch adults on six randomly selected non-consecutive days (i.e., three 2hR-days and three 24hRs) during a four-week period. Sixty-three participants provided four 24-hour urine samples, to assess urinary nitrogen and potassium concentrations.

RESULTS

Intake estimates of energy (2,052±503 kcal vs. 1,976±483 kcal) and nutrients (e.g., protein: 78±23 g vs. 71±19 g; fat: 84±30 g vs. 79±26 g; carbohydrates: 220±60 g vs. 216±60 g) were slightly higher with 2hR-days than 24hRs. Comparing self-reported protein and potassium intakes to urinary nitrogen and potassium concentrations indicated a slightly higher accuracy of 2hR-days than 24hRs (protein: -14% vs. -18%; potassium: -11% vs. -16%). Correlation coefficients between methods ranged from 0.41 to 0.75 for energy and macronutrients and from 0.41 to 0.62 for micronutrients. Generally regularly consumed food groups showed small differences in intake (<10%) and good correlations (>0.60). Intakes of and energy, nutrients and food groups showed similar reproducibility (ICC) for 2hR-days and 24hRs.

CONCLUSIONS

Comparing 2hR-days with 24hRs showed relatively similar group-level bias for energy, most nutrients, and food groups. Differences were mostly due to higher intake estimates by 2hR-days. Biomarker comparisons showed less underestimation by 2hR-days as compared to 24hRs, suggesting that 2hR-days are a valid approach to assess intake of energy, nutrients and food groups.

TRIAL REGISTRATION

This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR. No. NL69065.081.19.

Blood metabolite profiles linking dietary patterns with health-Toward precision nutrition

Diet is one of the most important exposures that may affect health throughout life span. Investigations on dietary patterns rather than single food components are gaining in popularity because they take the complexity of the whole dietary context into account. Adherence to such dietary patterns can be measured by using metabolomics, which allows measurements of thousands of molecules simultaneously. Derived metabolite signatures of dietary patterns may reflect the consumption of specific groups of foods or their constituents originating from the dietary pattern per se, or the physiological response toward the food-derived metabolites, their interaction with endogenous metabolism, and exogenous factors such as gut microbiota. Here, we review and discuss blood metabolite fingerprints of healthy dietary patterns. The plasma concentration of several food-derived metabolites-such as betaines from whole grains and n - 3 polyunsaturated fatty acids and furan fatty acids from fish-seems to consistently reflect the intake of common foods of several healthy dietary patterns. The metabolites reflecting shared features of different healthy food indices form biomarker panels for which specific, targeted assays could be developed. The specificity of such biomarker panels would need to be validated, and proof-of-concept feeding trials are needed to evaluate to what extent the panels may mediate the effects of dietary patterns on disease risk indicators or if they are merely food intake biomarkers. Metabolites mediating health effects may represent novel targets for precision prevention strategies of clinical relevance to be verified in future studies.

Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure

BACKGROUND

Social desirability bias is one of the oldest forms of response bias studied in social sciences. While individuals may feel the need to fake good or bad answers in response to sensitive or intrusive questions, it remains unclear how rampant such a bias is in epidemiological research pertaining to self-reported lifestyle indicators in a multicultural Asian context. The main purpose of the current study is, therefore, to examine the sociodemographic correlates and impact of social desirability responding on self-reported physical activity and dietary habits at an epidemiological scale in a non-western multi-cultural Asian setting.

METHODS

Prior to the main analyses, confirmatory and exploratory factor analyses were conducted to determine the factorial validity of a western derived concept of social desirability. Multiple regression analyses were conducted on cross-sectional data (n = 2995) extracted from a nationwide survey conducted between 2019 and 2020.

RESULTS

A unique factor structure of social desirability was found and was therefore used for subsequent analyses. Multiple regression analyses revealed older age groups, the Indian ethnic group, those with past or present marriages, and having no income, had a significantly greater tendency to act on the bias.

CONCLUSION

The construct of social desirability bias was fundamentally different in a multicultural context than previously understood. Only a small proportion of variance of self-report lifestyle scores was explained by social desirability, thus providing support for data integrity.