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Individuals with lower socioeconomic status are more vulnerable in securing good nutritional quality. It was also found that people who had received a lower education level had greater difficulty in completing the conventional dietary assessment such as a food frequency questionnaire (FFQ). Previous studies have demonstrated the validity of a short FFQ in Hong Kong's pregnant women, but its validity among a wider community was still unknown. For the present study, we aimed to validate a short FFQ among disadvantaged communities in Hong Kong. Amongst 103 individuals participating in a dietary intervention programme, their dietary data were collected by FFQs and three-day dietary records. Relative validity was assessed by correlation analysis, cross-tabulation, one-sample t-test, and linear regression. In general, water and total energy intake had significant correlations (0.77 for crude water intake and 0.87 for crude total energy intake) between values reported by FFQ and dietary records, good agreement (both with over 50% of observations falling into the same quartile), and insignificant differences between assessment methods reported by one-sample t-test and linear regression. Meanwhile, several nutrients had good agreement in terms of the values reported by FFQ and dietary records, such as energy from total fat, carbohydrates, total fat, cholesterol, phosphorus, and potassium. The results of this study demonstrated that the short version FFQ could be a convenient assessment tool of multiple dietary behaviors, especially in total energy and water intakes. [ABSTRACT FROM AUTHOR]

Background: The rapid adoption and sustained use of social media globally has provided researchers with access to unprecedented quantities of low‐latency data at minimal costs. This may be of particular interest to nutrition research because food is frequently posted about and discussed on social media platforms. This scoping review investigates the ways in which social media is being used to understand population food consumption, attitudes and behaviours. Methods: The peer‐reviewed literature was searched from 2003 to 2021 using four electronic databases. Results: The review identified 71 eligible studies from 25 countries. Two‐thirds (n = 47) were published within the last 5 years. The USA had the highest research output (31%, n = 22) and Twitter was the most used platform (41%, n = 29). A diverse range of dataset sizes were used, with some studies relying on manual techniques to collect and analyse data, whereas others required the use of advanced software technology. Most studies were conducted by disciplines outside health, with only two studies (3%) being conducted by nutritionists. Conclusions: It appears the development of methodological and ethical frameworks as well as partnerships between experts in nutrition and information technology may be required to advance the field in nutrition research. Moving beyond traditional methods of dietary data collection may prove social media as a useful adjunct to inform recommended dietary practices and food policies. Key points: The use of social media analysis for nutrition research has grown significantly in the last 5 years and may prove as a useful adjunct to inform recommended dietary practices and food policies.Most studies were conducted by researchers from non‐health disciplines such as IT and business, highlighting an opportunity for cross‐disciplinary collaborations with nutrition researchers.The development of methodological and ethical frameworks for social media analysis is needed to increase the academic rigour of studies and support future research. [ABSTRACT FROM AUTHOR]

The effectiveness of the tailored feedback in digital interventions may be limited by the quality of the dietary assessment (DA) upon which it is based. The present study systematically reviewed studies reporting the protocols for DA methods used to inform tailored feedback in digital weight loss interventions. The search included: PubMed—National Library of Medicine database, MEDLINE, Cochrane Library of Systematic Reviews, Web of Science and ProQuest. Search terms were related to five groups: dietary assessment, weight loss, clinical trials, technology and tailoring. Thirteen articles were eligible for inclusion. The most common DA method was a digital dietary record linked to a food database that provided instant feedback on daily energy intake. Only four studies provided feedback on overall diet quality and intake of fruit, vegetables and fibre. Dietary feedback was provided using text messages, email, mobile applications and online intervention websites. Most digital dietary feedback focused on reducing energy intake without providing feedback to enhance diet quality. This review highlighted the heterogeneity in DA methods used in tailored weight loss interventions, which may account for the range of outcome results reported. Future interventions should publish the protocols describing how dietary data was collected and used to inform dietary feedback. Key points: The dietary assessment (DA) methods used to inform digital, tailored feedback vary in quality, duration and scope.Digital weight management interventions should provide feedback to improve diet quality, and not just to reduce energy intake.The effectiveness of digital, tailored dietary feedback can be improved with dietetic input to provide evidence‐based DA and tailored feedback. [ABSTRACT FROM AUTHOR]

The aim of this study was to evaluate the validity of a web-based 7-day food-record using METADIETA-web link (Meteda s.r.l.) – a professional software used in nutritional practice and research – compared with the traditional paper format. Twenty-six healthy adults of both sexes were recruited in this cross-over study based on the number coming from the sample size calculation, and randomly assigned to start with METADIETA-web or traditional 7-Day Food-Diary. All the 7-day food-diaries were recorded in the Metadieta-software. The System Usability Scale (SUS) questionnaire was administered to evaluate the participants' preferences in terms of usability, acceptability, and feasibility. Differences in energy intake, nutrient composition, and SUS between the digital and traditional modalities were evaluated. Energy and nutrients were not significantly different between the two methods with a variation <15%, with alcohol intake showing the strongest relation (0.1% variation). The Interclass Correlation Coefficient showed a grade of consistency between the two methods excellent for alcohol, good for proteins, carbohydrates, and fibre, moderate for energy and saturated fat, and poor for total fat and cholesterol. SUS suggested that the web-based platform was in general well accepted, but highlighted some inconsistencies and complexity compared to the written food diary. The web-based 7-day food-record may allow an accurate and quicker analysis of food timing than conventional approaches, seeming reliable for energy and macronutrient composition, making it a potentially attractive tool for nutritional research. However, the reported inconsistencies and complexity must be considered and addressed. [ABSTRACT FROM AUTHOR]

Assessing the usual food intake of para‐athletes enables knowledge and description of nutrient intakes, providing insight into the potential nutritional status of para‐athletes and may help tailor dietary intake to their specific training needs. This study aimed to evaluate the usual intake of macronutrients and food groups and meal food patterns of athletes with a disability. We also compared dietary intake data between team and individual sport para‐athletes. One hundred and one athletes with a disability from 13 Paralympic disciplines living in Brasília, Federal District, Brazil were included. Food intake was estimated from two or four non‐consecutive 24‐h food recalls in which para‐athletes reported all food, beverages, and supplements consumed in the previous 24‐h. Dietary intake analysis was performed by implementing the National Cancer Institute (NCI) method to calculate the macronutrient and food group usual intake. Macronutrient intakes were compared to Acceptable Macronutrient Distribution Ranges for the general population and food group intakes were compared to the 2008 Brazilian National Dietary Guidelines. Para‐athletes consumed a low‐carbohydrate, adequate protein, high‐fat diet. There was no significant difference in macronutrient intake distribution between team sport and individual sport para‐athletes. Most para‐athletes had three main meals during the day. The prevalence of inadequate fruit servings in the middle and highest energy intake tertiles was significantly higher in team sport para‐athletes (92.5% and 98.4%) than in individual sport para‐athletes (90.8% and 65.5%), respectively. The prevalence of inadequate vegetable servings was significantly higher between team and individual para‐athletes for the middle energy intake tertiles. Para‐athletes generally consumed an imbalanced diet, which is a cause for concern given their additional physiological demands and specific training needs. [ABSTRACT FROM AUTHOR]

Background: To estimate the efficacy of interventions to improve healthy eating, valid measures are essential. Although simple dietary intake tools have been developed with other populations, few have been culturally tailored and assessed for validity and reliability among Navajo. Objectives: This study aimed to develop a simple dietary intake tool tailored to Navajo culture, derive healthy eating indices, and assess their validity and reliability in Navajo children and adults and to describe the process used to develop this tool. Methods: A picture-sort tool using typically consumed foods was developed. Elementary school children and family members provided qualitative feedback in focus groups, used to refine the tool. Next, school--aged children and adults completed assessments at baseline and follow-up. Baseline behavior measures including child self-efficacy for fruits and vegetables (F&V) were examined for internal consistency. Healthy eating indices were derived from intake frequencies from picture sorting. The convergent validity of the indices and behavior measures for children and adults were examined. The reliability of the indices at the 2 time points was derived using Bland-Altman plots. Results: The picture-sort was refined from feedback provided by the focus groups. Baseline measures from 25 children and 18 adults were obtained. In children, a modified Alternative Healthy Eating Index (AHEI) and 2 other indices from the picture-sort were correlated with self-efficacy for eating F&V and had good reliability. In adults, the modified AHEI and 3 other indices from the picture-sort had significant correlations with adult abbreviated food frequency of F&V or obesogenic dietary index and had good reliability. Conclusions: The Navajo foods picture-sort tool developed for Navajo children and adults is proven to be acceptable and feasible to implement. Indices derived from the tool has good convergent validity and repeatability, supporting use in evaluating dietary change interventions in Navajo, with the potential for broader use of the approach in other underserved populations. [ABSTRACT FROM AUTHOR]

Dietary intakes portray what someone consumes throughout a day, which also offer important insight for carrying out the intercession programs to avoid several chronic diseases. Precise tools and techniques of assessing nutritional intakes are necessary for monitoring the dietary condition of patients for clinical and epidemiological research on the relationships between health and diet. Measuring the exact dietary intakes is regarded as an open issue in the health and nutrition fields. Thereby, this work develops a new dietary assessment model implemented with four main phases like '(1) pre-processing, (2) segmentation, (3) feature extraction and (4) classification'. The input image is first subjected to pre-processing, which includes median filtering to decrease noise. The pre-processed image is then used in segmentation, which is performed using modified K-means clustering. Then comes feature extraction, which involves extracting colour, shape and texture-based features. Following that, the collected features are classified using an optimised CNN. Furthermore, the weights of CNN are fine-tuned using Self-Adaptive Cat Swarm Optimisation (SA-CSO), which is an upgraded version of the CSO algorithm, to improve the accuracy of the created approach. [ABSTRACT FROM AUTHOR]

Accurate dietary assessment in nutritional research is a huge challenge, but essential. Due to the subjective nature of self-reporting methods, the development of analytical methods for food intake and microbiota biomarkers determination is needed. This work presents an ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) method for the quantification and semi quantification of 20 and 201 food intake biomarkers (BFIs), respectively, as well as 7 microbiota biomarkers applied to 208 urine samples from lactating mothers (M) (N = 59). Dietary intake was assessed through a 24 h dietary recall (R24h). BFI analysis identified three distinct clusters among samples: samples from clusters 1 and 3 presented higher concentrations of most biomarkers than those from cluster 2, with dairy products and milk biomarkers being more concentrated in cluster 1, and seeds, garlic and onion in cluster 3. Significant correlations were observed between three BFIs (fruits, meat, and fish) and R24h data (r > 0.2, p-values < 0.01, Spearman correlation). Microbiota activity biomarkers were simultaneously evaluated and the subgroup patterns detected were compared to clusters from dietary assessment. These results evidence the feasibility, usefulness, and complementary nature of the determination of BFIs, R24h, and microbiota activity biomarkers in observational nutrition cohort studies. [ABSTRACT FROM AUTHOR]

The goal was to summarize studies comparing the accuracy of web-based dietary assessments with those of conventional face-to-face or paper-based assessments using 24-h dietary recall or dietary record methods in the general population. Using two databases, mean differences and correlation coefficients (CCs) for intakes of energy, macronutrients, sodium, vegetables, and fruits were extracted from each study independently by the authors. We also collected information regarding usability from articles reporting this. From 17 articles included in this review, the mean dietary intake differences in the web-based dietary assessment compared to conventional methods, were −11.5–16.1% for energy, −12.1–14.9% for protein, −16.7–17.6% for fat, −10.8–8.0% for carbohydrates, −11.2–9.6% for sodium, −27.4–3.9% for vegetables, and −5.1–47.6% for fruits. The CC was 0.17–0.88 for energy, protein, fat, carbohydrates, and sodium, and 0.23–0.85 for vegetables and fruits. In three out of four studies reporting usability, more than half of the participants preferred the web-based dietary assessment. In conclusion, % difference and CC of dietary intake were acceptable in both web-based dietary records and 24-h dietary recalls. The findings from this review highlight the possibility of wide-spread application of the web-based dietary assessment in the future. [ABSTRACT FROM AUTHOR]

Plant-based dietary patterns are comprised of a range of foods, and increasingly, diet quality indices are used to assess them and their associations with health outcomes. As the design of these indices varies, a review of existing indices is necessary to identify common features, strengths, and considerations. This scoping review aimed to synthesize the literature on plant-based diet quality indices by examining their 1) basis for development, 2) scoring methodology, and 3) validation approaches. MEDLINE, CINAHL, and Global Health databases were systematically searched from 1980 to 2022. Observational studies were included if they assessed plant-based diets in adults, using an a priori methodology with food-based components. Studies conducted among pregnant/lactating people were excluded. Thirty-five unique plant-based diet quality indices were identified in 137 included articles published between 2007 and 2022. Indices were developed to reflect epidemiological evidence for associations between foods and health outcomes (n = 16 indices), previous diet quality indices (n = 16), country-specific dietary guidelines (n = 9), or foods from traditional dietary patterns (n = 6). Indices included 4 to 33 food groups, with fruits (n = 32), vegetables (n = 32), and grains (n = 30) the most common. Index scoring comprised of population-specific percentile cutoffs (n = 18) and normative cutoffs (n = 13). Twenty indices differentiated between healthy and less healthy plant-based foods when scoring intakes. Validation methods included construct validity (n = 26), reliability (n = 20), and criterion validity (n = 5). This review highlights that most plant-based diet quality indices were derived from epidemiological research, the majority of indices differentially scored healthy and unhealthy plant and animal foods, and indices were most often evaluated for construct validity and reliability. To ensure best practice use and reporting of plant-based dietary patterns, researchers should consider the basis for development, methodology, and validation when identifying appropriate plant-based diet quality indices for use in research contexts. [ABSTRACT FROM AUTHOR]

Inflammation plays a key role in cancer development. As an important modulator of inflammation, the role of diet should be explored. The purpose of this study was to determine the association between diets with a higher inflammatory potential, as measured by the Dietary Inflammatory Index (DII®), and cancer development in a cohort of rural post-menopausal women. Dietary intake from a randomized controlled trial cohort of rural, post-menopausal women in Nebraska was used to compute energy-adjusted DII (E-DIITM) scores at baseline and four years later (visit 9). A linear mixed model analysis and multivariate logistic regression evaluated the association between E-DII scores (baseline, visit 9, change score) and cancer status. Of 1977 eligible participants, those who developed cancer (n = 91, 4.6%) had a significantly larger, pro-inflammatory change in E-DII scores (Non-cancer: Δ 0.19 ± 1.43 vs. Cancer: Δ 0.55 ± 1.43, p = 0.02). After adjustment, odds of cancer development were over 20% higher in those with a larger change (more pro-inflammatory) in E-DII scores than those with smaller E-DII changes (OR = 1.21, 95% CI [1.02, 1.42], p = 0.02). Shifting to a more pro-inflammatory diet pattern over four years was associated with increased odds of cancer development, but not with E-DII at baseline or visit 9 alone. [ABSTRACT FROM AUTHOR]

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Despite the wide use of 24-h dietary recalls and differences in food culture between Western and Asian countries, limited studies validating 24-h dietary recalls have been performed in rice-based meals and in Asians. To determine the accuracy of 24-h dietary recalls in Koreans, 22 older women participating in a controlled-feeding study completed a single interviewer-administered 24-h dietary recall. The recalls of food items were classified as matches, exclusions, or intrusions. Portion size reports were categorized as corresponding (≤10% error), overreport, underreport, and missing. Recall accuracy was analyzed according to the type of dish, food group, or nutrients and compared by one-way analysis of variance or paired t-test. Participants reported 95% of the foods that they consumed. Sauces were most frequently missing. Corresponding portion sizes were 24%, while 43% were underreported. Kimchi was most frequently underreported. No difference was found among food groups. The recalled intakes of energy and most nutrients were similar to the actual intakes, with the exception of fat and sodium, which were underreported. The interviewer-administered 24-h dietary recall may be a reliable tool to assess food and nutrient intake in older Korean women. More accurate methods are necessary to assess sauce, kimchi, fat, and sodium intakes in the Korean diet. [ABSTRACT FROM AUTHOR]

In the United States, pregnant women have low concentrations of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), which are essential for fetal development. Although maternal blood provides accurate polyunsaturated fatty acid (PUFA) concentrations, venipuncture is expensive and not always accessible. PUFA-containing foods consumption, both omega-3 ad omega-6 is supposed to reflect in the status (plasma, RBC, adipose tissue) of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA). De novo synthesis of DHA and EPA during pregnancy is supposed to be higher compared to pre and/or post-pregnancy periods. Thus, this study aimed to determine the association between maternal self-reported dietary intake of foods high in DHA and EPA, along with vegetable oils as a source of omega-6 fatty acids, with maternal blood DHA and EPA concentrations. Pregnant women (13–16 weeks gestation) were recruited and asked to complete a food-frequency questionnaire (FFQ) and blood draw at enrollment and 36 weeks. Circulating concentrations of DHA and EPA were quantified and change scores were calculated. Correlations were done to determine associations between FFQ results and EPA/DHA maternal blood concentrations. Regression analyses were run to examine significant predictors of the main outcomes. Overall, PUFA-food consumption and RBC's DHA levels decreased from early to late pregnancy; self-reported PUFA-rich food consumption positively correlated with DHA and EPA levels. DHA concentration was predicted by self-reported PUFA-rich oils (sunflower/soy/corn/olive) consumption, but EPA concentration was predicted by maternal BMI. These findings suggest that EPA and DHA consumption decreased across pregnancy and the FFQ can be utilized as an effective method for estimating PUFA blood concentration during pregnancy. [ABSTRACT FROM AUTHOR]

Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms. Leveraging these social trends, real-time food recognition and reliable classification of these captured food images can potentially help replace some of the tedious recording and coding of food diaries to enable personalized dietary interventions. Although Central Asian cuisine is culturally and historically distinct, there has been little published data on the food and dietary habits of people in this region. To fill this gap, we aim to create a reliable dataset of regional foods that is easily accessible to both public consumers and researchers. To the best of our knowledge, this is the first work on the creation of a Central Asian Food Dataset (CAFD). The final dataset contains 42 food categories and over 16,000 images of national dishes unique to this region. We achieved a classification accuracy of 88.70% (42 classes) on the CAFD using the ResNet152 neural network model. The food recognition models trained on the CAFD demonstrate the effectiveness and high accuracy of computer vision for dietary assessment. [ABSTRACT FROM AUTHOR]

There is an urgent need to implement intervention programs to promote adherence to the Mediterranean diet (AMD) in university students to prevent non-communicable diseases. A powerful tool for this is smartphone apps. Furthermore, it is necessary to determine the subgroups that are most likely to benefit from these technologies. The objective is to evaluate the effectiveness of an app (e-12HR) at improving AMD in a sample of Spanish university students and different strata. The study method was a controlled and randomized clinical trial over a four-week follow-up period and involving 385 participants (76.9% women). The participants were in two parallel groups: the control group (CG) and the intervention group (IG), with only the IG receiving feedback to improve their AMD. There were significant statistical improvements (with higher values in the IG) at week four, after no significant statistical differences at baseline (Week One): in the whole sample: +25.7% AMD index and +74.5% percentage with moderate/high AMD index. In the subgroups, seven of eight subgroups, ranging in AMD index from +17.8% (≥20 years) to +33.0% (<20 years); and for males, in weeks two (+27.9%) and three (+23.9%), but not at week four. In conclusion, e-12HR could improve AMD among university students (in the total sample and all subgroups, except ≥25 kg/m2). [ABSTRACT FROM AUTHOR]

The present study applied a non-invasive method to analyse anthropogenic particles and prey items in white stork (Ciconia ciconia) pellets. Pellets (n = 20) were obtained from white stork nests during the 2020 breeding season from two sites in Croatia. In total, 7869 anthropogenic particles were isolated. The majority of particles were fragments, while previous studies on other birds often reported fibres. An ATR–FTIR polymer analysis detected glass and construction and building materials, as well as several compounds associated with plastic masses. Polymer investigation revealed the presence of dotriacontane and octacosane, which are by-products of polyethylene (PE) degradation and transformation. Additionally, the detection of vinylidene chloride (VDC) highlights the historical contribution of polyvinylidene chloride (PVDC) to plastic pollution. Significant variation in particle quantity and size between the sampling sites was detected, with larger particles found at sites associated with the metal mechanical engineering industry and agriculture. Prey assessment revealed chitin remains of large insects such as Orthoptera and Coleoptera. This research confirms the potential of pellet analysis as a valuable tool for assessing the presence of anthropogenic particles in the environment. However, further research is needed to fully understand the extent of particle ingestion, particle sources and potential impact.

Health-related nutritional human studies rely on the validity of dietary data provided by study participants. Reliable biomarkers for food intake help objectify data collected by food frequency questionnaires. They facilitate the monitoring of compliance with the study requirements, e.g., abstinence from food, help clean biased data, and remove non-compliant individuals. Biomarker candidates are often revealed by sophisticated metabolomics analyses of body fluids, e.g., urine or plasma, collected from case and control study populations. However, validation for using a biomarker candidate in real-life scenarios is seldomly executed. Coffee is a food item of high interest because of the abundance of bioactive compounds and the regularity of life-time consumption by a large part of the population. Coffee has been found to positively impact cardiovascular risk, type 2 diabetes, and cognitive decline. Coffee and its health implications, therefore, are of high interest. A suitable dietary biomarker for coffee consumption is desirable for the clear classification of study participants as coffee drinkers or non-coffee drinkers to enable correlation of physiological response to dietary habits, e.g., coffee consumption. Here, we propose the roast coffee compound N-methylpyridinium (NMP) as a promising biomarker of pragmatic use to distinguish a coffee drinker from a non-coffee drinker. NMP is an easily accessible analytical target from the plasma and urine matrix that can help determine precedent exposure to roasted coffee products. We review the published information on the coffee compound N-methylpyridinium in foods, coffee, and plasma/urine after coffee consumption, and evaluate the data in the context of the proposed food biomarker criteria “plausibility”, “time- and dose–response”, “robustness”, “reliability”, “stability”, “analytical performance”, and “reproducibility”. An additional data set is acquired to fill the gaps in the literature. In summary, we conclude that the abundance of NMP can serve as a reliable analytical tool to verify recent consumption of roasted coffee. The use of NMP appears limited to being qualitative, as NMP abundance in coffee and human biosamples is affected by several parameters, e.g., the roasting conditions and the volume and time of coffee consumed.

BackgroundHigh consumption of unhealthy foods and beverages (UFB) during early childhood is cause for concern, with growing evidence from low- and middle-income countries finding associations with poor diet quality and malnutrition. Research from sub-Saharan Africa remains limited, with no studies quantifying the contribution of UFB to total energy intakes among young children or exploring the relationship between such intakes and diet quality or anthropometric outcomes.ObjectivesAssess UFB consumption patterns and their contribution to total energy intake from non-breastmilk foods/beverages (TEI-NBF), assess the association between high UFB consumption and dietary/nutrition outcomes, and explore drivers of unhealthy food choice among young children in Guédiawaye Department, Senegal.MethodsWe conducted a cross-sectional study of a representative sample of 724 primary caregivers and their 12–35.9-month-old children. The study included a questionnaire, a quantitative four-pass 24-h dietary recall, and anthropometric measurements. The contribution of UFB to TEI-NBF was calculated and terciles generated. Logistic and linear models were used to compare outcomes of high versus low UFB consumption terciles.ResultsUFB contributed on average 22.2% of TEI-NBF, averaging 5.9% for the lowest tercile and 39.9% for the highest. Diets of high UFB consumers, as compared to low, were significantly less dense in protein, fiber, and seven of the 11 micronutrients assessed and significantly denser in total fat, saturated fat, and total sugar. No associations were found with anthropometric outcomes. High UFB consumers were older and more likely to be living in food insecurity. The most common drivers of commercial UFB consumption were related to child preference, the use of these products as behavior management tools, treats, or gifts, and the sharing of these products by someone else eating them.ConclusionHigh UFB consumption is associated with poor diet quality among 12–35-month-olds in Guédiawaye Department, Senegal. Addressing high UFB consumption during this critical developmental period should be prioritized in young child nutrition research, programming, and policy development.

BackgroundA low micronutrient intake has been reported to contribute to the double-burden of obesity, increasing the risk for chronic diseases such as cardiovascular disease, diabetes, cancer, and mental disorders. This case-control study compared micronutrient intake profiles in overweight/obese vs. normal-weight individuals. We hypothesized that a low intake of certain micronutrients would increase the odds of being overweight/obese.MethodsThe case group (n = 812 adults) consisted of individuals with a BMI of ≥25 kg/m2, and the control group (n = 793) had BMIs of 17.9–24.9 kg/m2. A validated 124-item food frequency questionnaire was used to determine micronutrient-related dietary-quality, using the index of nutritional quality (INQ), calculated as the fraction of a micronutrient consumed vs. its dietary requirement. In addition, body surface area (BSA) was calculated according to the Mosteller formula.ResultsThe control group had significantly higher INQ-scores of vitamin A, vitamin C, calcium, magnesium, and selenium compared to the case group. Furthermore, individuals with normal BSA (≤1.91 m2 for men; ≤1.71 m2 for women) had significantly higher INQ scores of vitamin C, calcium, magnesium, and zinc compared to participants with high BSA. In multivariable adjustment regression models, INQs of vitamin C (ORBMI = 0.79, 95%CI: 0.64–0.97; ORBSA = 0.81, 95%CI, 0.68–0.97) and magnesium (ORBMI = 0.69, 95%CI: 0.47–0.99; ORBSA = 0.71, 95%CI: 0.52–0.97) were significantly associated with the odds of obesity/overweight (in both BMI and BSA categories).ConclusionThe significant association between micronutrient levels of the diet, especially of vitamin C and magnesium, with both obesity criteria, emphasized the importance of certain micronutrients in the obesity/overweight causal network.

BackgroundAssessing dietary intake is valuable both in clinical practice and in research. In research and in clinical practice, long-term habitual dietary intake is most often of interest. Therefore, a web-based semi-quantitative Food Frequency Questionnaire (FFQ) was developed to measure habitual intake of nutrients and foods.AimThis study aimed to assess content validity, convergent validity, and reliability of a 32-item semi-quantitative FFQ for adults.MethodsA total of three different cohorts of Flemish adults were recruited in the past 10 years. The first cross-sectional validation study took place in 2013, consequently in 2019 and 2021. Content validity was assessed in 2019 through a semi-structured cognitive interview. Convergent validity was assessed by examining mean differences, Wilcoxon signed-rank test, Spearman's correlation coefficients (SCC), and Bland–Altman analysis for energy, nutrient, and food group intake compared with a 3-day food record (FR). Additionally, consumers-only analysis was performed together with cross-classification analysis by assessing the ranking capabilities of the FFQ into quartiles and weighted kappa. Reliability was assessed through the evaluation of SCC and intra-class correlation (ICC) of test–retest assessment of the FFQ.ResultsSpearman's correlation coefficient (SCC) for energy and absolute nutrient intake between the FFQ and the FR ranged from 0.02 to 0.54. Compared with absolute macronutrients, higher SCC was found for the majority of the relative macronutrient intake and most food groups. Bland–Altman plots showed improved agreement and decreasing bias between the FFQ and the FR over time. Misclassification of the FFQ for nutrients was acceptable and decreased over time (7.4, 7.5, and 6.8% in 2013, 2019, and 2021, respectively), but weighted kappa remained mostly fair (κ ≤ 0.20). The reliability of the FFQ was good and improved over time (mean SCC of 0.65 and 0.66 p

Purpose: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. Methods: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) cohort. The samples were analyzed using nontargeted metabolomics with liquid chromatography coupled with mass spectrometry (LC–MS). Association with WG intake was investigated using both random forest followed by linear regression adjusted for age, BMI, smoking, physical activity, energy and alcohol consumption, and partial Spearman correlation adjusted for the same covariates. Features selected by any of these models were shortlisted for annotation. We then checked if we could replicate the findings in an independent subset from the same cohort (n = 200). Results: Direct associations were observed between WG intake and pipecolic acid betaine, tetradecanedioic acid, four glucuronidated alkylresorcinols (ARs), and an unknown metabolite both in discovery and replication cohorts. The associations remained significant (FDR<0.05) even after adjustment for the confounders in both cohorts. Sinapyl alcohol was positively correlated with WG intake in both cohorts after adjustment for the confounders but not in linear models in the replication cohort. Some microbial metabolites, such as indolepropionic acid, were positively correlated with WG intake in the discovery cohort, but the correlations were not replicated in the replication cohort. Conclusions: The identified associations between WG intake and the seven metabolites after adjusting for confounders in both discovery and replication cohorts suggest the potential of these metabolites as robust biomarkers of WG consumption. [ABSTRACT FROM AUTHOR]

Huntington's disease (HD) is a rare progressive neurodegenerative disease characterised by autosomal dominant inheritance. The past decade saw a growing interest in the associations between the Mediterranean Diet (MD) and HD risk and outcomes. The aim of this case-control study was to assess the dietary intake and habits of Cypriot HD patients, comparing them to gender and age-matched controls, using the Cyprus Food Frequency Questionnaire (CyFFQ) and to assess adherence to the MD by disease outcomes. The method relied on the validated CyFFQ semi-quantitative questionnaire to assess energy, macro- and micronutrient intake over the past year in n = 36 cases and n = 37 controls. The MedDiet Score and the MEDAS score were used to assess adherence to the MD. Patients were grouped based on symptomatology such as movement and cognitive and behavioral impairment. The two-sample Wilcoxon rank-sum (Mann–Whitney) test was used to compare cases vs. controls. Statistically significant results were obtained for energy intake (kcal/day) (median (IQR): 4592 (3376) vs. 2488 (1917); p = 0.002) from cases and controls. Energy intake (kcal/day) (median (IQR): 3751 (1894) vs. 2488 (1917); p = 0.044) was also found to be significantly different between asymptomatic HD patients and controls. Symptomatic patients were also different from controls in terms of energy intake (kcal/day) (median (IQR): 5571 (2907) vs. 2488 (1917); p = 0.001); % energy monounsaturated fatty acids (median (IQR): 13.4 (5.2) vs. 15.5 (5.7); p = 0.0261) and several micronutrients. A significant difference between asymptomatic and symptomatic HD patients was seen in the MedDiet score (median (IQR): 31.1 (6.1) vs. 33.1 (8.1); p = 0.024) and a significant difference was observed between asymptomatic HD patient and controls (median (IQR): 5.5 (3.0) vs. 8.2 (2.0); p = 0.014) in the MEDAS score. This study confirmed previous findings that HD cases have a significantly higher energy intake than controls, revealing differences in macro and micronutrients and adherence to the MD by both patients and controls and by HD symptom severity. These findings are important as they are an effort to guide nutritional education within this population group and further understand diet–disease associations. [ABSTRACT FROM AUTHOR]

This cross-sectional study aimed to develop and validate a vitamin D food frequency questionnaire (VitD-FFQ) to assess vitamin D intake in Moroccan women of reproductive age. Using the method of triads, the VitD-FFQ was validated against seven-day dietary records (7d-FR) and 25-hydroxyvitamin D (25(OH)D) as a biomarker of vitamin D status in 152 women (aged 18–45 years). Participants' sun exposure scores (SES) were assessed using a specific questionnaire (SEQ). Predictors of vitamin D status were identified via linear regression models. Several statistical tests were applied to evaluate the criterion validity of the FFQ against two references methods (7d-FR and the biomarker-serum 25(OH)D). Median (Interquartile range) intakes were 7.10 ± 6.95 µg /day and 6.33 ± 5.02 µg/ day, respectively, for VitD-FFQ and 7d-FR. Vitamin D status was mainly determined by SES (R = 0.47) and vitamin D absolute food intakes derived by the VitD-FFQ (R = 0.56), which demonstrated a more significant prediction ability compared to 7d-FR (R = 0.36). An agreement was observed between the VitD-FFQ and 7d-FR (BA index of 3.29%) with no proportional bias (R2 = 0.002, p = 0.54). <10% of participants were incorrectly classified, and weighted kappa statistics showed that VitD-FFQ had an acceptable ranking ability compared to the 7d-FR and the biomarker. The validity coefficient for the VitD-FFQ was high: ρQR = 0.90 (95%CI: 0.89–0.92), and a range from 0.46 to 0.90. Adjustment for the participants' SES and BMI (body mass index) improved the biomarker's validity coefficient (ρRB 0.63 (95% CI 0.39–0.82). Our results indicate that the VitD-FFQ is valid for estimating absolute vitamin D intake in Moroccan women of reproductive age. [ABSTRACT FROM AUTHOR]

Background: Few studies have assessed dietary patterns (DPs) and the changes in these patterns over time in adults. The present study aimed to investigate whether possible changes in DPs in two assessments are associated with obesity and excess body fat. Methods: A prospective study was conducted in which data were collected from 1082 adults of a Brazilian birth cohort during two periods 15 years apart (T1: 2002–2004; T2: 2016–2017). Food consumption was assessed in both periods using validated food frequency questionnaires. Three similar DPs were found in the two assessments, and adherence to these patterns was classified as prudent, risk or mixed. Nine DPs changes were defined. At T2, subjects with a body mass index ≥ 30.0 kg m–² were classified as obese, and men and women with a body fat (BF) percentage ≥ 25.0 and ≥ 35.0, respectively, were classified as having excess BF. A directed acyclic graph was built to adjust the association for confounding variables. Results: At T2, 34.4% of the subjects were obese and 61.4% had excess BF. In the adjusted analysis, the changes associated with obesity and excess BF were prudent–mixed (prevalence ratio [PR] 1.55; 95% confidence interval [CI] = 1.04–2.29 and PR = 1.35; 95% CI = 1.10–1.65), risk–risk (PR = 1.49; 95% CI = 1.03–2.13 and PR = 1.27; 95% CI = 1.04–1.53), risk–mixed (PR = 1.56; 95% CI = 1.05–2.31 and PR = 1.33; 95% CI = 1.07–1.63) and mixed–risk (PR = 1.61; 95% CI = 1.10–2.35 and PR = 1.29; 95% CI = 1.04–1.58). Conclusions: A decline in food quality over time or stagnation in an unhealthy DP can lead to obesity and excess BF. Key points: Assessment of adult dietary patterns at two points in time. [ABSTRACT FROM AUTHOR]

Background: Dietary nitrates may play a role in mediating several key physiological processes impacting health and/or exercise performance. However, current methods for assessing dietary nitrate (NO3−) consumption are inadequate. The present study aimed to examine the dietary nitrate intake in a sample of 50 healthy adults, as well as test the validity of a purposefully developed food frequency questionnaire (FFQ). Methods: Dietary nitrate intake was estimated over a week using (i) three 24‐h dietary recalls; (ii) a short‐term (7‐day) FFQ; and (iii) a biomarker (urinary nitrate), in conjunction with a nitrate reference database. Results: Daily dietary nitrate intake estimates were 130.94 mg (average of three 24‐h recalls) and 180.62 mg (FFQ). The mean urinary NO3− excretion was 1974.79 µmol day–1 (or 917.9 µmol L–1). Despite the difference between the two dietary assessment methods, there was a moderate positive correlation (r = 0.736, ρ < 0.001) between the two tools. There was also a positive correlation between urinary NO3− and 24‐h recall data (r = 0.632, ρ < 0.001), as well as between urinary NO3− and FFQ (r = 0.579, ρ < 0.001). Conclusions: The ability to accurately estimate nitrate intakes depends on having suitable reference methods to estimate the concentrations of nitrate in the food supply, coupled with valid and reliable dietary assessment tools. Based on the findings from the present study, at an individual level, dietary recalls or records may be more accurate in estimating intakes of NO3−. However, given the lower cost and time needed for administration relative to recalls, the FFQ has merit for estimating NO3− intakes in health interventions, dietary surveys and surveillance programs. Key points: Nitrate occurs naturally in plant foods and water, and are also commonly used as food additives in cured products. Dietary nitrates may be beneficial for health and exercise performance; however, current methods to assess dietary nitrate consumption are inadequate.Estimates of nitrate intake from our purposefully designed food frequency questionnaire showed moderate associations with estimates from 24‐h food recalls, as well as from a urinary biomarker.At an individual level, dietary recalls or records may be more accurate in estimating dietary nitrate intake. However, the food frequency questionnaire developed in the present study may be useful to estimate nitrate intake in health interventions, dietary surveys and surveillance programs. [ABSTRACT FROM AUTHOR]

Background: Integrating digital dietary assessment within dietetic care could save time and reduce costs, at the same time as increasing patient engagement. The present study explores the feasibility of implementing a web‐based dietary assessment tool, myfood24 (https://www.myfood24.org), into routine healthcare. Methods: This mixed methods feasibility study recruited dietitians and patients from a National Health Service (NHS) hospital outpatient setting. Patients completed and shared three online 24‐h dietary recalls in advance, which were used as a dietary assessment by dietitians. Recruitment data were collected and questionnaires on technology, usability, and acceptability were completed. Patient interviews and focus groups with dietitians were conducted. Results: Eleven dietitians working in allergy, bariatrics, diabetes, oncology, general, renal, infectious diseases, and coeliac services took part with 39 patients. Recruitment rates were highest in bariatrics and lowest in renal and oncology. Compared to other studies, completion rates were good, with 29 (74.4%) completing three recalls despite lower technology readiness and software usability scores than in similar studies. Illness and difficulty with technology were reasons for non‐completion. Opportunity to receive nutritional feedback from the tool and share this with a dietitian motivated patients to complete the record accurately. Consultation times were shortened in approximately one‐third of appointments and a higher proportion of time was spent on nutritional education compared to usual practice. However, mean preparation time increased by 13 min per appointment because dietitians found nutritional analysis reports difficult to interpret. Conclusions: It is feasible to introduce a digital dietary assessment tool into NHS dietetic practice. However, further development is needed to ensure that the tool is suitable for healthcare. Key points: This is likely to be the first study in the UK investigating the use of digital dietary assessment in clinical dietetic practice. Seven different clinical specialities were included. Recruitment rates were highest in bariatrics and lowest in oncology and renal where ill health was given as a main reason for non‐participation. Non‐completers had low technology readiness scores, which may suggest this tool could be used to identify individuals who may need more technological support. Dietitians reported that clinic preparation time took longer than usual care, but time was saved in one‐third of consultations and more time was available for patient education. The intervention was moderately acceptable to patients and dietitians, although tailoring the software to clinical care and the availability of an app would likely improve this further. [ABSTRACT FROM AUTHOR]

Background: Assessment of dietary intake is fundamental for evaluating the interrelationships between diet and disease. The present study aimed to develop and validate the semiquantitative Cypriot food frequency questionnaire (CyFFQ). Methods: A 171‐item paper‐and‐pencil semiquantitative interview‐administered FFQ was developed, including local foods and culturally specific meals commonly consumed among Cypriot adults. FFQ reproducibility was assessed by comparing the energy‐adjusted daily macro‐ and micronutrients intake at baseline (FFQ1) and 1 year later (FFQ2) using a Wilcoxon matched pairs signed rank test and intraclass correlation coefficients (ICCs) in a random sample of Cypriot adults. FFQ relative validity was evaluated by comparing the intake as estimated by FFQ2 with that obtained from the average of three 24‐h recalls taken over the year between FFQ1 and FFQ2. Associations between nutrient intakes estimated using FFQ2 and the 24‐h recalls were assessed using Spearman rank correlation and Bland–Altman plots were used to assess agreement between the FFQ and the 24‐h recalls. Results: Among eligible participants, 68 (78%) completed the study (44.1% males, aged 30.5–47.5 years). The energy‐adjusted intakes of macro‐ and micronutrients did not significantly differ between the two FFQs, excluding magnesium. The FFQ2 and the averaged 24‐h recalls were significantly correlated for most macro‐ and micronutrients. The median (interquartile) ICC for all macro‐ and micronutrients was 0.46 (0.38–0.52) (p < 0.05). Agreement was satisfactory (>30%) for most micro‐ and macronutrients. Bland–Altman plots also confirmed good agreement between the two methods. Conclusions: The CyFFQ is a valid and reliable tool for assessing dietary consumption in Cypriot adults. Key points: Culturally applicable dietary intake assessment tools are necessary to evaluate the relationships between diet and health/disease aspects.The present study aimed to develop and validate the semiquantitative Cypriot food frequency questionnaire (CyFFQ).After developing a 171‐paper‐and‐pencil semiquantitative interview‐administered FFQ, including local and culturally specific meals, both reproducibility and relative validity were assessed in a random sample of Cypriot adults.In statistical analysis comparing the FFQ provided to the participants at baseline and 1 year later, energy‐adjusted intakes of macro‐ and micronutrients did not significantly differ between the two FFQs, with the exception of magnesium. A comparison between the energy‐adjusted daily macro‐ and micronutrients intake 1 year later (FFQ2) and the average of three 24‐h recalls provided between baseline and FFQ2 showed significant correlation and agreement, using various methods, for most macro‐ and micronutrients.Our findings indicate that the CyFFQ is a valid and reliable tool for assessing dietary consumption in Cypriot adults and thus can be used in future research. [ABSTRACT FROM AUTHOR]

Conventional dietary assessment methods are based predominately on Western models which lack Aboriginal and Torres Strait Islander knowledges, methodologies, and social and cultural contextualisation. This review considered dietary assessment methods used with Aboriginal and Torres Strait Islander populations and assessed their applicability. Four electronic databases and grey literature were searched with no time limit applied to the results. Screening, data extraction and quality appraisal were undertaken independently by two reviewers. Out of 22 studies, 20 were conducted in rural/remote settings, one in an urban setting, and one at the national population level. The most frequently used and applicable dietary assessment method involved store data. Weighed food records and food frequency questionnaires had low applicability. Modifications of conventional methods were commonly used to adapt to Indigenous practices, but few studies incorporated Indigenous research methodologies such as yarning. This highlights an opportunity for further investigation to validate the accuracy of methods that incorporate qualitative yarning-based approaches, or other Indigenous research methodologies, into quantitative data collection. The importance of developing validated dietary assessment methods that are appropriate for this population cannot be understated considering the high susceptibility to nutrition-related health conditions such as malnutrition, overweight or obesity, diabetes, and cardiovascular disease. [ABSTRACT FROM AUTHOR]

The Food Frequency Questionnaire (FFQ) is one of the most frequently used instruments in epidemiological studies for evaluating dietary intake. Because of the variety of dietary habits within different populations, an FFQ must be tailored to the specific group. To date, no specific FFQ has been developed for type 2 diabetes mellitus (T2DM) patients in Malaysia. In this study, we developed a semi-quantitative FFQ to estimate macronutrient intake among T2DM patients. The development of the FFQ was based on the data acquired from 150 respondents with T2DM from the southern part of Peninsular Malaysia who completed the three-day 24-h dietary recalls. The respondents were selected by convenience sampling. The mean intake from each food item and the proportions of macronutrients were calculated. The approach from a previous study was used to compile a list of foods items with a cumulative 90% macronutrient contribution that is significant for the nutrient of interest. In conclusion, we have successfully developed a new semi-quantitative FFQ with a total of 79 food items and nine food groups. The frequencies of the FFQ were divided into nine categories and this FFQ represents the usual food intake of T2DM patients in Malaysia. However, this tool has yet to be validated in patients with T2DM in Malaysia. [ABSTRACT FROM AUTHOR]

Time to evaluate diet quality and give dietary advice is limited in clinical inflammatory bowel disease (IBD) practice. The Eetscore is a web-based tool that assesses diet quality according to the Dutch dietary guidelines and provides personalised dietary advice. We aimed to assess diet quality of IBD patients using the Eetscore and to study changes in diet quality, health-related quality of life (HRQoL) and clinical disease activity over time. A prospective cohort study was performed in 195 adult IBD patients. Participants were invited to fill out questionnaires (Eetscore -FFQ, short Inflammatory Bowel Disease Questionnaire and Patient Harvey Bradshaw Index/Patient Simple Clinical Colitis Activity Index) at baseline and after 1 and 4 months. The Eetscore calculates diet quality based on sixteen food components (ten points per component, total score 0–160; the higher the better) and provides dietary advice per component based on the assessment. At baseline, mean diet quality was 98 (sd 19). Diet quality was positively associated with age, female sex and level of education. Component scores were highest for red meat, wholegrain products and sweetened beverages, and lowest for legumes, nuts and processed meat. Over time, diet quality increased to 107 (sd 21) at 4 months (P < 0·001). Each ten-point improvement in diet quality was associated with an increase in HRQoL (β = 0·4 (95 % CI (0·02, 0·7), P = 0·04). Clinical disease activity did not change. In conclusion, diet quality of IBD patients significantly improved following personalised dietary advice of the Eetscore. Improvement of diet quality was associated with a slight improvement in HRQoL. The Eetscore is a practical and useful tool to monitor and support a healthy diet in IBD patients. [ABSTRACT FROM AUTHOR]

Sensor-based food intake monitoring has become one of the fastest-growing fields in dietary assessment. Researchers are exploring imaging-sensor-based food detection, food recognition, and food portion size estimation. A major problem that is still being tackled in this field is the segmentation of regions of food when multiple food items are present, mainly when similar-looking foods (similar in color and/or texture) are present. Food image segmentation is a relatively under-explored area compared with other fields. This paper proposes a novel approach to food imaging consisting of two imaging sensors: color (Red–Green–Blue) and thermal. Furthermore, we propose a multi-modal four-Dimensional (RGB-T) image segmentation using a k-means clustering algorithm to segment regions of similar-looking food items in multiple combinations of hot, cold, and warm (at room temperature) foods. Six food combinations of two food items each were used to capture RGB and thermal image data. RGB and thermal data were superimposed to form a combined RGB-T image and three sets of data (RGB, thermal, and RGB-T) were tested. A bootstrapped optimization of within-cluster sum of squares (WSS) was employed to determine the optimal number of clusters for each case. The combined RGB-T data achieved better results compared with RGB and thermal data, used individually. The mean ± standard deviation (std. dev.) of the F1 score for RGB-T data was 0.87 ± 0.1 compared with 0.66 ± 0.13 and 0.64 ± 0.39, for RGB and Thermal data, respectively. [ABSTRACT FROM AUTHOR]

Background: Traditional recall approaches of data collection for assessing dietary intake and time use are prone to recall bias. Studies in high- and middle-income countries show that automated wearable cameras are a promising method for collecting objective health behavior data and may improve study participants’ recall of foods consumed and daily activities performed. This study aimed to evaluate the feasibility of using automated wearable cameras in rural Eastern Ugandan to collect dietary and time use data. Methods: Mothers of young children (n = 211) wore an automated wearable camera on 2 non-consecutive days while continuing their usual activities. The day after wearing the camera, participants’ dietary diversity and time use was assessed using an image-assisted recall. Their experiences of the method were assessed via a questionnaire. Results: Most study participants reported their experiences with the automated wearable camera and image-assisted recall to be good (36%) or very good (56%) and would participate in a similar study in the future (97%). None of the eight study withdrawals could be definitively attributed to the camera. Fifteen percent of data was lost due to device malfunction, and twelve percent of the images were "uncodable" due to insufficient lighting. Processing and analyzing the images were labor-intensive, time-consuming, and prone to human error. Half (53%) of participants had difficulty interpreting the images captured by the camera. Conclusions: Using an automated wearable camera in rural Eastern Uganda was feasible, although improvements are needed to overcome the challenges common to rural, low-income country contexts and reduce the burdens posed on both participants and researchers. To improve the quality of data obtained, future automated wearable camera-based image assisted recall studies should use a structured data format to reduce image coding time; electronically code the data in the field, as an output of the image review process, to eliminate ex post facto data entry; and, ideally, use computer-assisted personal interviews software to ensure completion and reduce errors. In-depth formative work in partnership with key local stakeholders (e.g., researchers from low-income countries, representatives from government and/or other institutional review boards, and community representatives and local leaders) is also needed to identify practical approaches to ensuring that the ethical rights of automated wearable camera study participants in low-income countries are adequately protected. [ABSTRACT FROM AUTHOR]

Background: While necessary for studying dietary decision-making or public health, estimates of nutrient supply based on self-reported food intake are barely accessible or fully lacking and remain a challenge in human research. In particular, detailed information on dietary fiber is limited. In this study we introduce an automated openly available approach to assess self-reported nutrient intake for research purposes for a popular, validated German food frequency questionnaire (FFQ). Methods: To this end, we i) developed and shared a code for assessing nutrients (carbohydrates, fat, protein, sugar, fiber, etc.) for 53 items of the quantitative, validated German DEGS1-FFQ questionnaire implementing expert-guided nutritional values of diverse sources with several raters. In a sample of individuals (nGUT-BRAIN = 61 (21 female) overweight, omnivorous), we ii) cross-validated nutrient intake of the last 7 days and the last 24 h and iii) computed test–retest reliability across two timepoints. Further, iv) we reported newly computed nutrient intake for two independent cross-sectional cohorts with continuous weight status and different dietary habits (nMensa = 134 (79 female, 1 diverse), nGREADT = 76 male). Exploratively, we v) correlated computed, energy-adjusted nutrient intake with anthropometric markers and HbA1c and vi) used linear mixed models to analyse the predictability of BMI and WHR by nutrient intake. Results: In overweight adults (n = 61 (21 female), mean age 28.2 ± 6.5 years, BMI 27.4 ± 1.6 kg/m2) nutrient intakes were mostly within recommended reference nutrient ranges for both last 7 days and last 24 h. Recommended fiber intake was not reached and sugar intake was surpassed. Calculated energy intake was significantly higher from last 24 h than from last 7 days but energy-adjusted nutrient intakes did not differ between those timeframes. Reliability of nutrient values between last 7 days and 24 h per visit was moderate (Pearson's rhoall ≥ 0.33, rhomax = 0.62) and absolute agreement across two timepoints was low to high for 7 days (Pearson's rhomin = 0.12, rhomax = 0.64,) and low to moderate for 24 h (Pearson's rhomin = 0.11, rhomax = 0.45). Associations of dietary components to anthropometric markers showed distinct sex differences, with overall higher intake by males compared to females and only females presenting a negative association of BMI with fiber intake. Lastly, in the overweight sample (but not when extending the analysis to a wider BMI range of 18.6–36.4 kg/m2), we could confirm that higher BMI was predicted by lower energy-adjusted fiber intake and higher energy-adjusted fat intake (when adjusting for age, sex and physical activity) while higher WHR was predicted by higher energy intake. Conclusion: We provide an openly available tool to systematically assess nutrient intake, including fiber, based on self-report by a common German FFQ. The computed nutrient scores resembled overall plausible and reliable measures of nutrient intake given the known limitations of FFQs regarding over- or underreporting and suggest valid comparability when adjusting for energy intake. Our open code nutrient scoring can help to examine dietary intake in experimental studies, including dietary fiber, and can be readily adapted to other FFQs. Further validation of computed nutrients with biomarkers and nutrient-specific metabolites in serum, urine or feces will help to interpret self-reported dietary intake. [ABSTRACT FROM AUTHOR]

Nutrition influences health throughout the life course. Good nutrition increases the probability of good pregnancy outcomes, proper childhood development, and healthy aging, and it lowers the probability of developing common diet-related chronic diseases, including obesity, cardiovascular disease, cancer, and type 2 diabetes. Despite the importance of diet and health, studying these exposures is among the most challenging in population sciences research. US and global food supplies are complex; eating patterns have shifted such that half of meals are eaten away from home, and there are thousands of food ingredients with myriad combinations. These complexities make dietary assessment and links to health challenging both for population sciences research and for public health policy and practice. Furthermore, most studies evaluating nutrition and health usually rely on self-report instruments prone to random and systematic measurement error. Scientific advances involve developing nutritional biomarkers and then applying these biomarkers as stand-alone nutritional exposures or for calibrating self-reports using specialized statistics. [ABSTRACT FROM AUTHOR]

Objectives: Here we examined the reproducibility and validity of a dietary screener which was translated and adapted to assess diet quality among pregnant Nepalese women. Methods: A pilot cohort of singleton pregnant women (N = 101; age 25.9 ± 4.1 years) was recruited from a tertiary, periurban hospital in Nepal. An adapted Nepali version of the PrimeScreen questionnaire, a brief 21-item dietary screener that assesses weekly consumption of 12 healthy and 9 unhealthy food groups, was administered twice, and a month apart, in both the 2nd and 3rd trimesters. Up to four inconsecutive 24-h dietary recalls (24-HDRs) were completed each trimester and utilized as the reference method for validation. For each trimester, data from multiple 24-HDRs were averaged across days, and items were grouped to match the classification and three weekly consumption categories (0–1, 2–3, or 4 + servings/week) of the 21 food groups represented on the PrimeScreen. Results: Gwet's agreement coefficients (AC1) were used to evaluate the reproducibility and validity of the adapted PrimeScreen against the 24-HDRs in both the 2nd and 3rd trimester. AC1 indicated good to excellent (≥ 0.6) reproducibility for the majority (85%) of food groups across trimesters. There was moderate to excellent validity (AC1 ≥ 0.4) for all food groups except for fruits and vegetables in the 2nd trimester, and green leafy vegetables and eggs in both the 2nd and 3rd trimesters. Conclusions: The modified PrimeScreen questionnaire appears to be a reasonably valid and reliable instrument for assessing the dietary intake of most food groups among pregnant women in Nepal. [ABSTRACT FROM AUTHOR]

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

The aim of this cross-sectional study was to examine the relative validity of food and nutrient intakes and overall diet quality scores derived using a newly developed dietary assessment questionnaire (food combination questionnaire, FCQ). Dietary data were collected from 222 Japanese adults (111 for each sex) aged 30–76 years using the online FCQ and then the 4-non-consective-day weighed dietary record (DR). The median of Spearman correlation coefficients for sixteen food groups was 0⋅32 among women and 0⋅38 among men. The median of Pearson correlation coefficients for forty-six nutrients was 0⋅34 among women and 0⋅31 among men. The Pearson correlation coefficient between the total scores of Healthy Eating Index-2015 (HEI-2015) derived from the DR and FCQ was 0⋅37 among women and 0⋅39 among men. The corresponding value for the Nutrient-Rich Food Index 9.3 (NRF9.3) total scores was 0⋅39 among women and 0⋅46 among men. Bland–Altman plots for these diet quality scores showed poor agreement at the individual level, although mean difference was small for the HEI-2015 (but not NRF9.3). Similar results were obtained using the paper version of FCQ, which was answered after conducting the DR, except for somewhat high Pearson correlation coefficients for the total scores of HEI-2015 (0⋅50 among both women and men) and NRF9.3 (0⋅37 among women and 0⋅53 among men). In conclusion, this analysis may lend support to the possible use of the FCQ as a rapid dietary assessment tool in large-scale epidemiologic studies in Japan, but further refinement of this tool should be pursued. [ABSTRACT FROM AUTHOR]

In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the MSAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants. [ABSTRACT FROM AUTHOR]

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 [ABSTRACT FROM AUTHOR]

Background: Over the last decade, health mobile apps have become an increasingly popular tool used by clinicians and researchers to track food consumption and exercise. However, many consumer apps lack the technological features for facilitating the capture of critical food timing details. Objective: This study aimed to introduce users to 11 apps from US app stores that recorded both dietary intake and food timing to establish which one would be the most appropriate for clinical research. Methods: To determine a viable app that recorded both dietary intake and food timing for use in a food timing–related clinical study, we evaluated the time stamp data, usability, privacy policies, the accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment that were available on US app stores. The following apps were selected using a keyword search of related terms and reviewed: text entry apps—Cronometer, DiaryNutrition, DietDiary, FoodDiary, Macros, and MyPlate; image entry apps—FoodView and MealLogger; and text plus image entry apps—Bitesnap, myCircadianClock, and MyFitnessPal. Results: Our primary goal was to identify apps that recorded food time stamps, which 8 (73%) of the 11 reviewed apps did. Of the 11 apps, only 4 (36%) allowed users to edit the time stamps. Next, we sought to evaluate the usability of the apps using the System Usability Scale across 2 days, and 82% (9/11) of the apps received favorable scores for usability. To enable use in research and clinical settings, the privacy policies of each app were systematically reviewed using common criteria, with 1 (9%) Health Insurance Portability and Accountability Act–compliant app (Cronometer). Furthermore, protected health information was collected by 9 (82%) of the 11 apps. Finally, to assess the accuracy of the nutrient estimates generated by these apps, we selected 4 sample food items and a 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared with the nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research database. In terms of the 3-day food record, the apps were found to consistently underestimate daily calories and macronutrients compared with the Nutrition Data System for Research output. Conclusions: Overall, we found that the Bitesnap app provided flexible dietary and food timing functionality capable of being used in research and clinical settings, whereas most other apps lacked in the necessary food timing functionality or user privacy. [ABSTRACT FROM AUTHOR]

Objectives: Dietary intake information is key to understanding nutrition-related outcomes. Intake changes with age and some older people are at increased risk of malnutrition. Application, difficulties, and advantages of the 24-hour multiple pass recall (24hr-MPR) dietary assessment method in three cohorts of advanced age in the United Kingdom (UK) and New Zealand (NZ) is described. Participants: The Newcastle 85+ study (UK) recruited a single year birth cohort of people aged 85 years during 2006–7. LiLACS NZ recruited a 10-year birth cohort of Māori (indigenous New Zealanders) aged 80–90 years and a single year birth cohort of non-Māori aged 85 years in 2010. Measurements: Two 24hr-MPR were conducted on non-consecutive days by trained assessors. Pictorial resources and language were adapted for the New Zealand and Māori contexts. Detailed methods are described. Results: In the Newcastle 85+ study, 805 (93%) participants consented to the 24-MPR, 95% of whom completed two 24hr-MPR; in LiLACS NZ, 218 (82%) consented and 203 (76%) Māori and 353 (90%) non-Māori completed two 24hr-MPR. Mean time to complete each 24hr-MPR was 22 minutes in the Newcastle 85+ study, and 45 minutes for Māori and 39 minutes for non-Māori in LiLACS NZ. Dietary assessment of participants residing in residential care and those requiring proxy respondents were successfully included in both studies. Most participants (83–94%) felt that data captured by the 24hr-MPR reflected their usual dietary intake. Conclusions: Dietary assessment using 24hr-MPR was successful in capturing detailed dietary data including information on portion size and time of eating for over 1300 octogenarians in the UK and New Zealand (Māori and non- Māori). The 24hr-MPR is an acceptable method of dietary assessment in this age group. [ABSTRACT FROM AUTHOR]

Measurement error undermines the accuracy of dietary intake data. The 24-hour dietary recall (24HR) is the standard data collection method in nutrition surveillance. Several neurocognitive processes underpin the act of recall, and individuals differ in their performance of these processes. This study aimed to investigate whether variation in neurocognitive processes, measured using four cognitive tasks, was associated with variation in measurement error of 24HRs. Participants (n 139) completed the Trail Making Test, the Wisconsin Card Sorting Test, the Visual Digit Span, and the Vividness of Visual Imagery questionnaire. During a controlled feeding study, participants completed three technology-assisted 24HR; the Automated Self-Administered Dietary Assessment Tool (ASA24), Intake24, and an Interviewer-Administered Image-Assisted 24HR (IA-24HR) one week apart. Percentage error between reported and true energy intakes was calculated. Using linear regression, the association between cognitive task scores and absolute percentage error in estimated energy intake was assessed. Longer time spent completing the Trail Making Test, an indicator of visual attention and executive functioning, was associated with greater error in energy intake estimation using ASA24 (B 0.13, 95% CI 0.04, 0.21) and Intake24 (B 0.10, 95% CI 0.02, 0.19). Regression models explained 13.6% (ASA24) and 15.8% (Intake24) of the variance in energy estimation error. No cognitive task scores were associated with error using IA-24HR. This study demonstrates that variation between individuals in neurocognitive processes explains some of the variation in 24HR error. Further investigation into the role of neurocognitive processes in 24HR and their role in the reliability of dietary intake data is warranted.

Objective: Public health approaches for addressing diet-related health in the United States (US) include nutrition incentive (NI) and produce prescription (PPR) projects. These projects, funded through the US Department of Agriculture Gus Schumacher Nutrition Incentive Program (GusNIP), aim to support intake of fruits and vegetables through healthy food incentives. Measuring GusNIP impact is vital to assessing the ability of incentives to improve public health nutrition outcomes across populations. Shared measures used across GusNIP projects assess fruit and vegetable intake, food security, demographics, among other variables, through a participant survey. This study explored challenges and opportunities to support evaluation across GusNIP., Design: This qualitative study used a sociodemographic survey, semi-structured interviews, and focus groups. Descriptive statistics were used to summarize survey data and applied thematic analysis was used to identify patterns in interview and focus group data., Setting: Data collection occurred in the United States virtually using Qualtrics and Zoom, fall 2021 to fall 2022., Participants: 18 GusNIP PPR and NI data collectors, 24 external evaluators, and 11 GusNIP Training, Technical Assistance, Evaluation, and Information Center's (NTAE) staff participated., Results: Opportunities to improve evaluation among GusNIP's participants include tailoring surveys to specific subpopulations, translations, culturally appropriate food examples, avoiding stigmatizing language, using mixed methods, and intentional strategies to enhance representation., Conclusion: To increase applicability, evaluation tools must reflect the experiences across populations. This study provides insights that can guide future NI and PPR evaluations, helping to more effectively measure and understand outcomes of all communities.

Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinical practice and public health. However, these data are almost always subject to measurement error, distorting true diet-health relationships. Beyond measurement error, there are likely complex synergistic and sometimes antagonistic interactions between different dietary components, complicating the relationships between diet and health outcomes. Flexible models are required to capture the nuance that these complex interactions introduce. This complexity makes research on diet-health relationships an appealing candidate for the application of modern machine learning techniques, and in particular, neural networks. Neural networks are computational models that can capture highly complex, nonlinear relationships, so long as sufficient data are available. While these models have been applied in many domains, the impacts of measurement error on the performance of predictive modeling have not been widely investigated. In this work, we demonstrate the ways in which measurement error erodes the performance of neural networks and illustrate the care that is required for leveraging these models in the presence of error. We demonstrate the role that sample size and replicate measurements play in model performance, indicate a motivation for the investigation of transformations to additivity, and illustrate the caution required to prevent model overfitting. While the past performance of neural networks across various domains makes them an attractive candidate for examining diet-health relationships, our work demonstrates that substantial care and further methodological development are both required to observe increased predictive performance when applying these techniques compared to more traditional statistical procedures., (© 2025 The Author(s). Statistics in Medicine published by John Wiley & Sons Ltd.)

Purpose: A direct association exists between caries and high-sugar diets. The aim of this study was to test whether the cariogenicity of diet assessed and analysed through a new mobile app is associated with caries risk among children., Materials and Methods: A total of 247 children, 2-15 years old, were recruited from university and hospital daycare centers and dental clinics. Diet was assessed via a 24-h recall, and caries (dmft/DMFT- ICDAS criteria) was documented through clinical examination. A mobile app was designed to analyse dietary data and calculate the diet's cariogenicity. Demographics, daily meals, meal duration and type, and toothbrushing were entered. A diagram presenting an estimate of the oral pH was produced, showing the time interval during which caries may develop, and a calculated cariogenic dietary risk was generated. Multivariate logistic regression derived odds ratios estimating associations between the cariogenic diet and caries across three age groups., Results: A cariogenic diet analysed by the app was positively associated with dfmt (r = 0.477, p 0.001) in 2- to 6-year-old children, with dmft (r = 0.376, p 0.05) and DMFT (r = 0.271, p 0.05) in 7- to 11-year-old children, and with DMFT (r = 0.383, p 0.001) in 12- to 15-year-old children. Parents' lower educational level was associated with a statistically significantly higher caries risk in younger children (p 0.05)., Conclusion: Cariogenic diet evaluated with the new app was associated with increased caries, providing evidence of an accurate assessment among children. This app could assist dentists in providing dietary assessment and advice related to caries risk at the dental office in a more structured, educational, and time-saving way.

Background: Repeated applications of short-term dietary assessment instruments are recommended for estimating usual dietary intake. For this purpose, NutriDiary, a smartphone app for collecting weighed dietary records (WDRs) in the German population, was developed., Objective: We aim to describe NutriDiary and evaluate its usability and acceptability., Methods: NutriDiary was developed as a WDR, allowing users to enter food items via text search, barcode scanning, or free text entry. The sample for the evaluation study included 74 participants (n=51, 69% female, aged 18-64 years), including 27 (37.5%) experts and 47 (63.5%) laypersons (including n=22, 30%, nutrition students). Participants completed a 1-day WDR and entered a predefined sample meal (n=17 foods) the following day by using NutriDiary. An evaluation questionnaire was answered from which the system usability scale (SUS) score (0-100) was calculated. A backward selection procedure (PROC REG in SAS; SAS Institute) was used to identify potential predictors for the SUS score (age, sex, status [expert or laypersons], and operating system [iOS or Android])., Results: The median SUS score of 75 (IQR 63-88) indicated good usability. Age was the only characteristic identified as a potential predictor for a lower SUS score (P<.001). The median completion time for an individual WDR was 35 (IQR 19-52) minutes. Older participants took longer to enter the data than younger ones (18-30 y: median 1.5, IQR 1.1-2.0 min/item vs 45-64 y: median 1.8, IQR 1.3-2.3 min/item). Most participants expressed a preference for NutriDiary over the traditional paper-based method., Conclusions: Good usability and acceptability make NutriDiary promising for use in epidemiological studies., (© Linda Klasen, Stefanie Anna Julia Koch, Maike Elena Benz, Johanna Conrad, Ute Alexy, Konrad Blaszkiewicz, Ionut Andone, Ute Nöthlings. Originally published in JMIR Human Factors (https://humanfactors.jmir.org).)

Background: Currently, the methods used to collect dietary intake data in Ireland are inflexible to the needs of certain populations, who are poorly represented in nutrition and health data as a result. As the Irish population is becoming increasingly diverse, there is an urgent need to understand the habitual food intake and diet quality of multiple population subgroups, including different nationalities and ethnic minorities, in Ireland. Foodbook24 is an existing web-based 24-hour dietary recall tool, which has previously been validated for use within the general Irish adult population. Because of its design, Foodbook24 can facilitate the improved inclusion of dietary intake assessment in Ireland., Objective: We aimed to examine the suitability of expanding the Foodbook24 tool, improving the reliability and accuracy of dietary intake data collected among prominent nationalities in Ireland., Methods: This study consisted of three distinct parts: (1) expansion of Foodbook24, (2) testing its usability (ie, acceptability study), and (3) examining the accuracy (ie, comparison study) of the updated Foodbook24 tool. To expand Foodbook24, national survey data from Brazil and Poland were reviewed and commonly consumed food items were added to the food list. All foods were translated into Polish and Portuguese. The acceptability study used a qualitative approach whereby participants provided a visual record of their habitual diet. The comparison study consisted of one 24-hour dietary recall using Foodbook24 and one interviewer-led recall completed on the same day, repeated again 2 weeks later. Comparison study data were analyzed using Spearman rank correlations, Mann-Whitney U tests, and κ coefficients., Results: The expansion of the Foodbook24 food list resulted in 546 additional foods. The acceptability study reported that 86.5% (302/349) of foods listed by participants were available in the updated food list. From the comparison study, strong and positive correlations across 8 food groups (44% of a total of 18 food groups) and 15 nutrients (58% of a total of 26 nutrients) were identified (r=0.70-0.99). Only intakes of potatoes and potato dishes and nuts, herbs, and seeds significantly differed across methods of assessment, where correlations across these food groups were low (r=0.56 and r=0.47, respectively). The incidence of food omissions varied across samples, with Brazilian participants omitting a higher percentage of foods in self-administered recalls than other samples (6/25, 24% among the Brazilian vs 5/38, 13% among the Irish cohort)., Conclusions: The updated food list is representative of most foods consumed by Brazilian, Irish, and Polish adults in Ireland. Dietary intake data reported in Foodbook24 are not largely different from food groups and nutrient intakes reported via traditional methods. This study has demonstrated that Foodbook24 may be appropriate for use in future research investigating the dietary intakes of Brazilian, Irish, and Polish groups in Ireland., (©Grace Bennett, Shuhua Yang, Laura A Bardon, Claire M Timon, Eileen R Gibney. Originally published in the Online Journal of Public Health Informatics (https://ojphi.jmir.org/), 07.02.2025.)