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Purpose: To collect and evaluate the available evidence on existing tools used in research and clinical practice to assess and analyse the diet of children and adolescents for its cariogenicity. Materials and Methods: Multiple databases were searched up to October 2022, with no date, publication, or language restrictions, followed by a manual search. Study screening, data extraction, and risk of bias assessment were performed in duplicate. Dietary assessment tools and dental clinical parameters tested were retrieved for qualitative assessment and synthesis. Results: Of the 2896 papers identified, 9 cohort and 23 cross-sectional studies fulfilled the inclusion criteria. To assess dietary data, 13 studies used a 24-h recall, 11 used a food diary, and 7 used a food frequency questionnaire. For analysis, five studies reported using the Healthy Eating Index, ten used a score based on consumption of sugars, and the remaining analysed cariogenic diet based on the weight and frequency of sugars consumed, or the daily caloric intake from free sugars. Risk of bias assessment suggested that 65.7% of the studies were of moderate and 31.5% of high quality. Conclusion: Inconsistency exists regarding methods used for the assessment and analysis of dietary cariogenicity. Although every dietary assessment tool has different strengths and limitations, the 24-h recall was the most commonly used method for the assessment of dietary cariogenicity and the most consistent in detecting a positive relationship between sugary diet and carious lesions. A standardised method for cariogenic analysis of dietary data needs to be determined. [ABSTRACT FROM AUTHOR]

Since 1993, dietary assessment has been carried out in Greenland as part of recurrent population health surveys. In preparation for the next survey in 2024, 91 participants from the survey in 2018 were selected for a validation study of the Food Frequency Questionnaire (FFQ). The 91 participants were reinterviewed 38–50 months after the first FFQ and invited to complete a food diary. As part of the 2018 survey, blood was analysed for mercury. The food diary was completed by 65 participants. The agreement between the two FFQ interviews was very good for macronutrients and fatty acids (p > 0.20), whereas the calculated intake of mercury was 22% higher in the second FFQ (p = 0.04) due to a higher intake of whale meat and muktuk (whale skin). The agreement between the second FFQ and the food diary was good for local food, imported meat and cakes/sweets/snacks but fruit and vegetables, dairy products, beverages and added sugar were significantly underreported in the food diary. Food items not included in the FFQ were identified from the food diaries. The correlation between the intake of marine mammals and blood mercury was moderate (Spearman's rho = 0.41–0.50; p < 0.0001). The results will inspire future dietary studies in the circumpolar North. [ABSTRACT FROM AUTHOR]

Abstract 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.

Abstract Background Dietary assessment methods have limitations in capturing real-time eating behaviour accurately. Equipped with automated dietary-data-collection capabilities, the “intelligent ordering system” (IOS) has potential applicability in obtaining long-term consecutive, relatively detailed on-campus dietary records among university students with little resource consumption. We investigated (1) the relative validity of IOS-derived nutrient/food intakes compared to those from the 7-day food diary (7DFD); (2) whether including a supplemental food frequency questionnaire (SFFQ) improves IOS accuracy; and (3) sex differences in IOS dietary intake estimation. Methods Medical students (n = 221; age = 22.2 ± 2.4 years; 38.5% male and 61.5% female) completed the 7DFD and SFFQ. During the consecutive 7-day survey period, students weighed and photographed each meal before and after consumption. Then, students reviewed their 3-month diet and completed the SFFQ, which includes eight underprovided school-canteen food items (e.g., dairy, fruits, nuts). Meanwhile, 9385 IOS dietary data entries were collected. We used Spearman coefficients and linear regression models to estimate the associations among the different dietary intake assessment methods. Individual- and group-level agreement was assessed using the Wilcoxon signed-rank test, cross-classification, and Bland‒Altman analysis. Results IOS mean daily energy, protein, fat, and carbohydrate intake estimations were significantly lower (-15-20%) than those of the 7DFD. The correlation coefficients varied from 0.52 (for added sugar) to 0.88 (for soybeans and nuts), with fruits (0.37) and dairy products (0.29) showing weaker correlations. Sixty-two (milk and dairy products) to 97% (soybeans and nuts) of participants were classified into the same or adjacent dietary intake distribution quartile using both methods. The energy and macronutrient intake differences between the IOS + SFFQ and 7DFD groups decreased substantially. The separate fruit intake measurements from each assessment method did not significantly differ from each other (p > 0.05). IOS and IOS + SFFQ regression models generally yielded higher R2 values for males than for females. Conclusion Despite estimation differences, the IOS can be reliable for medical student dietary habit assessment. The SFFQ is useful for measuring consumption of foods that are typically unavailable in school cafeterias, improving the overall dietary evaluation accuracy. The IOS assessment was more accurate for males than for females.

Summary Objective Methods Results Conclusion Assess longer‐term changes in food habits and anthropometry among Grades 1–2 primary school students from four public schools in Colombo, Sri Lanka, following a 3‐week programme including a classroom‐based motivational storybook discussion and self‐monitoring food diary (FD).This follow‐up study assessed changes from baseline (pre‐intervention) BMI z‐scores and food habits (increased healthy food‐item consumption/decreased unhealthy food‐item consumption reflected by an increase in FD score) and parental perceptions (anonymous questionnaires) among 863 students (aged 6–8 years), between 9 and 12 months after completing the programme (November 2019–February 2020).Food habits showed sustained improvement from baseline mean FD score (baseline vs. follow‐up: 51 ± 23% vs. 67 ± 22%, p < 0.001), with children from all BMI subgroups (underweight [UW], normal weight [NW], overweight [OW] and obesity [OB]) showing a significant increase in FD scores (ranging from 14.1% to 17.2%, p < 0.001). BMI z‐scores increased in children living with UW (−2.85 to −2.21, p < 0.00) and NW (−0.70 to −0.57, p < 0.001), but did not change in children with OW (+1.5 to +1.49, p = 0.83) and OB (+2.85 to +2.21, p = 0.19). Most parents (n = 497, 97.8%) reported satisfaction with programme outcomes.This programme led to sustained improvement in food habits among young primary school children from all BMI categories, increase in BMI towards the median among children living with UW and NW, and stabilization of BMI in children with OW and OB, suggesting it as a useful tool for improving nutritional status of young children in low‐ and middle‐income countries (LMIC) facing the double burden of under‐ and overnutrition. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

• Infant diet assessment validity varies by dietary component and feeding stage. • Carotenoid intake estimates differ by milk carotenoid adjustment and approach. • Carotenoid intake estimates from 3 days of food diaries correlate with 7 days. Validated carotenoid assessment methods are needed to study infant carotenoid nutrition. This is a secondary analysis of repeated diet assessments of healthy participants collected at 4- (n = 21), 6- (n = 12), and 8- (n = 9) months of age in Houston, TX between April 2019 and June 2020. Intake was assessed with 3 assessment tools, analyzed with 3 nutrient databases, and underwent 3 adjustments to account for milk composition variability. We hypothesized that manual adjustment of milk carotenoid intake based on laboratory measurements would improve the validity of all assessment approaches and that using a database with greater coverage of infant food carotenoid compositions would improve accuracy. Generalized linear mixed models assessed associations between tool, nutrient database, age, and milk carotenoid adjustment variables with carotenoid, energy, fruit, and vegetable intakes. The effect of the number of food diary days on intake estimate precision was evaluated by testing the correlation between intake estimates derived from 1, 3, or 5, vs. 7 days. Visit age influenced energy intake estimates (p =.029), along with assessment tool (p =.020). Estimates of vegetable intake were influenced by tool (p =.009). Combined fruit and vegetable intake differed by nutrient database (p =.007). Carotenoid intake differed by age (p =<.0001), tool (p =.002), and nutrient database (p =.004). A minimum of 3 food diary days strongly correlated (rho = 0.79-1) with reference estimates across ages. Milk carotenoid adjustment was most influential in estimating 4-month olds' carotenoid intake, while nutrient database and tool were important for 6- and 8-month-olds', highlighting the dynamic nature of infant diet assessment validity across feeding stages. There are multiple methods available to assess infant carotenoid intake. This study finds that estimated infant carotenoid intake is influenced by child age, milk carotenoid adjustment method, nutrient database, and assessment tool. [Display omitted] [ABSTRACT FROM AUTHOR]

Background: Dietary assessment methods have limitations in capturing real-time eating behaviour accurately. Equipped with automated dietary-data-collection capabilities, the "intelligent ordering system" (IOS) has potential applicability in obtaining long-term consecutive, relatively detailed on-campus dietary records among university students with little resource consumption. We investigated (1) the relative validity of IOS-derived nutrient/food intakes compared to those from the 7-day food diary (7DFD); (2) whether including a supplemental food frequency questionnaire (SFFQ) improves IOS accuracy; and (3) sex differences in IOS dietary intake estimation. Methods: Medical students (n = 221; age = 22.2 ± 2.4 years; 38.5% male and 61.5% female) completed the 7DFD and SFFQ. During the consecutive 7-day survey period, students weighed and photographed each meal before and after consumption. Then, students reviewed their 3-month diet and completed the SFFQ, which includes eight underprovided school-canteen food items (e.g., dairy, fruits, nuts). Meanwhile, 9385 IOS dietary data entries were collected. We used Spearman coefficients and linear regression models to estimate the associations among the different dietary intake assessment methods. Individual- and group-level agreement was assessed using the Wilcoxon signed-rank test, cross-classification, and Bland‒Altman analysis. Results: IOS mean daily energy, protein, fat, and carbohydrate intake estimations were significantly lower (-15-20%) than those of the 7DFD. The correlation coefficients varied from 0.52 (for added sugar) to 0.88 (for soybeans and nuts), with fruits (0.37) and dairy products (0.29) showing weaker correlations. Sixty-two (milk and dairy products) to 97% (soybeans and nuts) of participants were classified into the same or adjacent dietary intake distribution quartile using both methods. The energy and macronutrient intake differences between the IOS + SFFQ and 7DFD groups decreased substantially. The separate fruit intake measurements from each assessment method did not significantly differ from each other (p > 0.05). IOS and IOS + SFFQ regression models generally yielded higher R2 values for males than for females. Conclusion: Despite estimation differences, the IOS can be reliable for medical student dietary habit assessment. The SFFQ is useful for measuring consumption of foods that are typically unavailable in school cafeterias, improving the overall dietary evaluation accuracy. The IOS assessment was more accurate for males than for females. [ABSTRACT FROM AUTHOR]

Introduction: Children with Autism Spectrum Disorder (ASD) often face greater challenges with eating compared to their neurotypical peers. A crucial period for developing food preferences is during infancy and early childhood, where attitudes towards and tastes for certain foods begin to form. As they grow, children typically show preferences for certain foods while rejecting others. Our study aims to explore the dietary diversity and habits across different age groups of children with autism. Material and Methods: To gather data, we conducted a literature review using the PubMed electronic database from July to September 2023. Results: The studies reviewed presented mixed outcomes regarding adherence to recommended food intake frequencies among children with autism. While over half of the children met dietary recommendations in some studies, a significant portion did not. Generally, children on the autism spectrum consume a less varied diet compared to typically developing children, with lower intake of whole grains, milk and dairy products, vegetables, fruits, legumes, and nuts. Conversely, a higher consumption of sweets and processed foods was observed. Conclusion: The observed dietary trends among children with autism not only pose challenges to their health and development but also underscore the necessity for tailored nutritional approaches. [ABSTRACT FROM AUTHOR]

Since 1993, dietary assessment has been carried out in Greenland as part of recurrent population health surveys. In preparation for the next survey in 2024, 91 participants from the survey in 2018 were selected for a validation study of the Food Frequency Questionnaire (FFQ). The 91 participants were reinterviewed 38–50 months after the first FFQ and invited to complete a food diary. As part of the 2018 survey, blood was analysed for mercury. The food diary was completed by 65 participants. The agreement between the two FFQ interviews was very good for macronutrients and fatty acids (p > 0.20), whereas the calculated intake of mercury was 22% higher in the second FFQ (p = 0.04) due to a higher intake of whale meat and muktuk (whale skin). The agreement between the second FFQ and the food diary was good for local food, imported meat and cakes/sweets/snacks but fruit and vegetables, dairy products, beverages and added sugar were significantly underreported in the food diary. Food items not included in the FFQ were identified from the food diaries. The correlation between the intake of marine mammals and blood mercury was moderate (Spearman’s rho = 0.41–0.50; p

The Mediterranean Diet (MD) is described in the literature as a beneficial dietary pattern for neurodegenerative diseases such as Multiple Sclerosis (MS). The objective of this study was to evaluate the dietary habits in people with MS (pwMS) and to test whether adherence to the MD could have an impact on the severity of the disease measured as the MS severity score (MSSS). Adherence to the MD was assessed in 31 PwMS using the Mediterranean Diet Adherence Screener (MEDAS), the Pyramid-based Mediterranean Diet Score (PyrMDS) index, and the Italian Mediterranean Index (IMI), and their eating habits were recorded in a food diary for a one-year follow-up. When data obtained from dietary analysis were compared to the MSSS, results showed that pwMS with lower MSSS adhere more to the MD than the other pwMS groups according to the MEDAS index. Furthermore, a high consumption of fiber in the MS mild severity class was observed. Further studies are needed to clarify which of the nutritional components of the MD may impact the course of MS and if the sensitization of pwMS to MD adherence can be a strategy for mitigating the disease. [ABSTRACT FROM AUTHOR]

Metabolism of dietary fibres by colon microbiota plays an important role for human health. Personal data from a nutrition study (57 subjects) were analysed to elucidate quantitative associations between the diet, faecal microbiome, organic acid concentrations and pH. Ratios of the predominant acids acetate, butyrate and propionate ranged from 1:0.67:0.27 to 1:0.17:0.36. Pectin-rich diets resulted in higher faecal acetate concentrations. Negative correlation between faecal pH and BSS was observed. Higher faecal pH and lower acid concentrations were related to the higher abundance of amino acid degrading Clostridium, Odoribacter and Eubacterium coprostanoligenes, which are weak carbohydrate fermenting taxa. Propionic acid correlated especially to high abundance of Prevotella and low abundance of proteobacteria. The acetate to propionate ratio of the Prevotella enterotype was about half of that of the Bacteroides enterotype. Based on the results we suggest the measurement of faecal pH and organic acid composition for research and diagnostic purposes.

Abstract Although hereditary fructose intolerance (HFI) is an inborn error of fructose metabolism that classically presents at infancy, the diagnosis is often missed or delayed. In this study, we aimed to develop tools to facilitate the diagnosis of HFI. The intake of fructose‐containing food products, that is, fruit, fruit juice and sugar‐sweetened beverages, was assessed by a 3‐day food diary in adult HFI patients (n = 15) and age, sex, and BMI‐matched controls (n = 15). Furthermore, glycosylation of transferrin was examined using high‐resolution mass spectrometry and abnormally glycosylated transferrin was expressed as ratio of normal glycosylated transferrin. We found that the sensitivity and specificity of the 3‐day food diary for the intake of at least one fructose‐containing food product were both 100%. Both mono‐glyco:diglyco transferrin and a‐glyco+mono‐glyco:di‐glyco transferrin were greater in HFI patients and had a high‐discriminatory power (area under the receiver operating characteristic curve: 0.97 and 0.94, respectively). In this well‐characterized cohort of adult HFI patients, the 3‐day food questionnaire and the glycosylation pattern of transferrin are valuable tools to facilitate the recognition and diagnosis of HFI in adult patients.

The relationship between what and how individuals eat and their overall and long-term health is non-controversial. However, for decades, food and nutrition discussions have often been highly medicalized. Given the significant impact of poor nutrition on health, broader discussions about food should be integrated into routine patient history taking. We advocate for an expansion of the current, standard approach to patient history taking in order to include questions regarding patients' 'foodlife' (total relationship to food) as a screening and baseline assessment tool for referrals. We propose that healthcare providers: (1) routinely engage with patients about their relationship to food, and (2) recognize that such dialogues extend beyond nutrition and lifestyle questions. Mirroring other recent revisions to medical history taking—such as exploring biopsychosocial risks—questions about food relationships and motivators of eating may be essential for optimal patient assessment and referrals. We draw on the novel tools of 'foodlife' ethnography (developed by co-author ethnographer J.J.L., and further refined in collaboration with the co-authors who contributed their clinical experiences as a former primary care physician (D.M.E.), registered dietitian (J.W.M.), and diabetologist (H.Z.)) to model a set of baseline questions for inclusion in routine clinical settings. Importantly, this broader cultural approach seeks to augment and enhance current food intake discussions used by registered dietitian nutritionists, endocrinologists, internists, and medical primary care providers for better baseline assessments and referrals. By bringing the significance of food into the domain of routine medical interviewing practices by a range of health professionals, we theorize that this approach can set a strong foundation of trust between patients and healthcare professionals, underscoring food's vital role in patient-centered care. [ABSTRACT FROM AUTHOR]

Self-regulation of food intake is necessary for maintaining a healthy body weight. One of the characteristics of self-regulation is calorie compensation. Calorie compensation refers to adjusting the current meal's energy content based on the energy content of the previous meal(s). Preload test studies measure a single instance of compensation in a controlled setting. The measurement of calorie compensation in free-living conditions has largely remained unexplored. This paper proposes a methodology that leverages extensive app-based observational food diary data to measure an individual's calorie compensation profile in free-living conditions. Instead of a single compensation index followed in preload–test studies, we present the compensation profile as a distribution of days a user exhibits under-compensation, overcompensation, non-compensation, and precise compensation. We applied our methodology to the public food diary data of 1622 MyFitnessPal users. We empirically established that four weeks of food diaries were sufficient to characterize a user's compensation profile accurately. We observed that meal compensation was more likely than day compensation. Dinner compensation had a higher likelihood than lunch compensation. Precise compensation was the least likely. Users were more likely to overcompensate for missing calories than for additional calories. The consequences of poor compensatory behavior were reflected in their adherence to their daily calorie goal. Our methodology could be applied to food diaries to discover behavioral phenotypes of poor compensatory behavior toward forming an early behavioral marker for weight gain. [ABSTRACT FROM AUTHOR]

(1) Introduction: Phenylketonuria (PKU) is an autosomal recessive inborn error of phenylalanine metabolism. The main treatment for PKU is to manage nutrition, thereby restricting phenylalanine intake. Part of patient management is analyzing eating habits to substitute missing nutrients and limit the overdose of nutrients. This is mainly done by analyzing food diaries. This is the first review of Latvian PKU patients eating habits performed by analyzing 72-h food diaries (FD). (2) Materials and Methods: This study included individuals between the ages of 18 and 31 years, PKU patients and 31 age- and sex-matched control groups. All respondents kept 72-h food diaries (FD) and underwent testing for zinc, selenium and ferritin levels in the blood. Food diary data were analyzed by Nutritics software to calculate the theoretical intake of nutrients, and these values were compared with the Ministry of Health of the Republic of Latvia's recommended values. (3) Results: A lack of motivation and diet therapy compliance in PKU patients was observed during this research. A total of 32% of PKU patients refused to fill out their FD or filled it out incorrectly. The analysis of nutrient intake was observed, and there was a statistically significant difference between PKU patients in the 1–3 age group and the control group in fat intake. Fat intake in PKU patients was below MRHL recommendations. The intake of iron was found to be surplus in all PKU patients in the age group of 1–3, 91% of PKU patients in the age group of 4–6 years, 63% in the age group of 7–12 and 71% in the 13–18 year age group. Although there were no instances in the PKU patients nor the control group who had ferritin levels above the normal range. Selenium intake was surplus in 80% of PKU patients in the 1–3 age group, 91% in PKU patients in the 4–6 age group, 88% in the 7–12 age group and 86% in the 13–18 age group. None of the patients had Se levels in the blood above the normal range. Zn intake was surplus in 100% of PKU patients in the 1–3 age group, 82% in PKU patients in the 4–6 age group, 88% in the 7–12 age group and 57% in the 13–18 age group, and no PKU patients had high Zn levels. None of the control group participants had levels below the normal range of Zn and Se while 11% of PKU patients in the 13–18 age group had inadequate levels of Se, although Se intake based on their FD was optimal. (4) Conclusions: Regular PKU patient nutritional status evaluation is important to define and prevent possible nutrient deficiency, and further investigation should be continued to find out the mechanism of nutrient absorption in PKU patients. To prevent macronutrient deficiency such as fat and micronutrient deficiency in PKU patients, one could use supplements or try an improved nutrient content of Phe-free formula in the future. [ABSTRACT FROM AUTHOR]

While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper proposes a framework that infers eating vs. non-eating events from passive smartphone sensing and evaluates it on a dataset of 58 college students. First, we show that time of the day and features from modalities such as screen usage, accelerometer, app usage, and location are indicative of eating and non-eating events. Then, we show that eating events can be inferred with an AUROC (area under the receiver operating characteristics curve) of 0.65 using subject-independent machine learning models, which can be further improved up to 0.81 for subject-dependent and 0.81 for hybrid models using personalization techniques. Moreover, we show that users have different behavioral and contextual routines around eating episodes requiring specific feature groups to train fully personalized models. These findings are of potential value for future mobile food diary apps that are context-aware by enabling scalable sensing-based eating studies using only smartphones; detecting under-reported eating events, thus increasing data quality in self report-based studies; providing functionality to track food consumption and generate reminders for on- time collection of food diaries; and supporting mobile interventions towards healthy eating practices.

Previous studies have shown that shift workers are more prone to non-communicable diseases. The aim of the present crossover study is to investigate whether it is possible to improve the health status of shift workers. Nineteen male shift workers (38.5 years ± 7.4) received every other month a dietary counseling for one year. All subjects kept a seven-day diet diary during a night shift, received bioelectrical impedance analysis, and a laboratory examination was performed at the beginning of the study, after one year and at the end of the study. The laboratory blood test included the main metabolic parameters, melatonin and serotonin. Beside subjects were also motivated to incorporate more physical training into their daily routine. After the intervention period, participants reduced energy intake, mean portion size, table salt, consumption of sugar and saturated fat. C-reactive protein (CRP), mean corpuscular volume (MCV), liver enzymes, triglycerides, and uric acid decreased, while melatonin level increased. Participants lost body weight and reduced waist circumference after the intervention. Lifestyle modification and dietary information could contribute to the health of shift workers. However, further studies are needed to investigate whether this can prevent disease and whether melatonin production can be influenced by diet. [ABSTRACT FROM AUTHOR]

The purpose of this study was to examine the relative validity of the Meal-based Diet History Questionnaire (MDHQ) for estimating nutrient intake. Dietary data were obtained from 111 Japanese women and 111 Japanese men, using the online MDHQ and the 4-non-consecutive-day weighed dietary record (DR). The number of nutrients (total n = 46) showing no significant mean differences between estimates from the online MDHQ and DR (with energy adjustment by the density model) was 17 among women and 12 among men. The median value (25th and 75th percentiles) of the Pearson correlation coefficients between the online MDHQ and DR estimates was 0.54 (0.35–0.57) among women and 0.45 (0.25–0.53) among men. Bland–Altman plots for energy-providing nutrients indicated wide limits of agreement (and proportional bias for protein) with overall underestimation of protein and fat and overestimation of carbohydrate by the online MDHQ. Similar results were found when the paper version of the MDHQ (completed after the DR) was examined. For example, the median value of the Pearson correlation coefficients was 0.54 for women and 0.45 for men. This study suggests that the MDHQ has an acceptable ability to rank individuals according to intakes of a wide range of nutrients. [ABSTRACT FROM AUTHOR]

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

Abstract Background Obesity rates are rising rapidly in low-middle-income-countries (LMICs). School-based interventions have shown moderate efficacy in improving diet and lifestyle associated with obesity in high-income countries. However, there is little data available on effective interventions suitable for LMICs. We devised a novel program for primary school children including a simple storybook and sticker-based food-diary (FD) and conducted a pilot study to evaluate the acceptability and short-term effectiveness of the program. Methods This pre-post intervention study included grade 1 and 2 students from four public schools in Colombo, Sri Lanka. Weight and height were assessed, and participating children self-monitored their diet using sticker-based FDs for one week at baseline (pre-test). The following week, class teachers discussed the storybook, which incorporated the benefits/disadvantages of a healthy/unhealthy diet and lifestyle in classrooms. At the end of the intervention, participating children were self-monitoring their diet again for a week (post-test). A simple scoring system was used to derive a weekly score based on the healthiness of the meals consumed each week (FD-score). The primary outcome of the study was change in eating habits following the story book discussion (post-test FD score - pre-test FD score). Acceptability and effectiveness were also assessed by anonymized feedback questionnaires for parents and teachers. Results One thousand and forty-two students completed the program. There was an improvement in eating habits of participating children, with FD scores improving by 12% from 51 ± 23 at baseline to 63 ± 24 following the intervention (p 90% parents(n = 1028) and > 95% teachers(n = 39) strongly agreed/agreed that the intervention was easy to implement, motivated children and led to an observable improvement in healthy eating. Conclusion This novel program led to an immediate improvement in eating habits and was well accepted by parents and teachers making it a potentially suitable intervention for wider implementation in primary schools in urban Sri Lanka.

(1) Introduction: Phenylketonuria (PKU) is an autosomal recessive inborn error of phenylalanine metabolism. The main treatment for PKU is to manage nutrition, thereby restricting phenylalanine intake. Part of patient management is analyzing eating habits to substitute missing nutrients and limit the overdose of nutrients. This is mainly done by analyzing food diaries. This is the first review of Latvian PKU patients eating habits performed by analyzing 72-h food diaries (FD). (2) Materials and Methods: This study included individuals between the ages of 18 and 31 years, PKU patients and 31 age- and sex-matched control groups. All respondents kept 72-h food diaries (FD) and underwent testing for zinc, selenium and ferritin levels in the blood. Food diary data were analyzed by Nutritics software to calculate the theoretical intake of nutrients, and these values were compared with the Ministry of Health of the Republic of Latvia’s recommended values. (3) Results: A lack of motivation and diet therapy compliance in PKU patients was observed during this research. A total of 32% of PKU patients refused to fill out their FD or filled it out incorrectly. The analysis of nutrient intake was observed, and there was a statistically significant difference between PKU patients in the 1–3 age group and the control group in fat intake. Fat intake in PKU patients was below MRHL recommendations. The intake of iron was found to be surplus in all PKU patients in the age group of 1–3, 91% of PKU patients in the age group of 4–6 years, 63% in the age group of 7–12 and 71% in the 13–18 year age group. Although there were no instances in the PKU patients nor the control group who had ferritin levels above the normal range. Selenium intake was surplus in 80% of PKU patients in the 1–3 age group, 91% in PKU patients in the 4–6 age group, 88% in the 7–12 age group and 86% in the 13–18 age group. None of the patients had Se levels in the blood above the normal range. Zn intake was surplus in 100% of PKU patients in the 1–3 age group, 82% in PKU patients in the 4–6 age group, 88% in the 7–12 age group and 57% in the 13–18 age group, and no PKU patients had high Zn levels. None of the control group participants had levels below the normal range of Zn and Se while 11% of PKU patients in the 13–18 age group had inadequate levels of Se, although Se intake based on their FD was optimal. (4) Conclusions: Regular PKU patient nutritional status evaluation is important to define and prevent possible nutrient deficiency, and further investigation should be continued to find out the mechanism of nutrient absorption in PKU patients. To prevent macronutrient deficiency such as fat and micronutrient deficiency in PKU patients, one could use supplements or try an improved nutrient content of Phe-free formula in the future.

Background: Digital food records offer efficiencies in collecting and assessing dietary information remotely; however, research into factors impacting their translation into clinical settings is limited., Methods: The study examined factors that may impact the integration of digital food records into clinical dietetic practice by assessing (1) the source and rate of data errors received, (2) the impact of dietitian-adjusted data on dietary variables and (3) the acceptance of use in a complex chronic condition cohort. Adults from specialist clinics enroled in a randomised controlled feasibility trial participated. Participants recorded their dietary intake using a mobile food diary application (Research Food diary, Xyris Software Pty Ltd.); it was analysed via electronic nutrition analysis software (FoodWorks, Xyris Software Pty Ltd.). Records were verified and corrected by a dietitian. Dietary variables assessed before (participant-unadjusted data) and after (dietitian-adjusted data) were compared by the Wilcoxon signed-rank test, Bland-Altman and Passing-Bablok analysis. Surveys and Interviews assessed participants'; acceptance of the mobile application's usability., Results: Errors appeared in 93% of records. Dietitian-adjusted median data were higher for most variables compared to participant-unadjusted median data (p < 0.05, median changes between 0.0% and 64.7%) of 59 participant records (median age 51 years, interquartile range 38-58). There was poor agreement between participant-unadjusted and dietitian-adjusted data for some dietary variables. Sixty-four percent surveyed (n = 32/50) found the app easy to use, whereas 29 interviews provided insights into facilitators and challenges of use., Conclusions: Significant barriers to integrating digital food records into clinical settings exist requiring dietitian adjustment to correct errors which has major implications for estimates of diet quality and intake., (© 2024 The British Dietetic Association Ltd.)

Background: Obesity rates are rising rapidly in low-middle-income-countries (LMICs). School-based interventions have shown moderate efficacy in improving diet and lifestyle associated with obesity in high-income countries. However, there is little data available on effective interventions suitable for LMICs. We devised a novel program for primary school children including a simple storybook and sticker-based food-diary (FD) and conducted a pilot study to evaluate the acceptability and short-term effectiveness of the program.Methods: This pre-post intervention study included grade 1 and 2 students from four public schools in Colombo, Sri Lanka. Weight and height were assessed, and participating children self-monitored their diet using sticker-based FDs for one week at baseline (pre-test). The following week, class teachers discussed the storybook, which incorporated the benefits/disadvantages of a healthy/unhealthy diet and lifestyle in classrooms. At the end of the intervention, participating children were self-monitoring their diet again for a week (post-test). A simple scoring system was used to derive a weekly score based on the healthiness of the meals consumed each week (FD-score). The primary outcome of the study was change in eating habits following the story book discussion (post-test FD score - pre-test FD score). Acceptability and effectiveness were also assessed by anonymized feedback questionnaires for parents and teachers.Results: One thousand and forty-two students completed the program. There was an improvement in eating habits of participating children, with FD scores improving by 12% from 51 ± 23 at baseline to 63 ± 24 following the intervention (p < 0.001). Further, when considering BMI category of participants: 69.1% were normal weight (NW), 18.3% underweight (UW), 7.4% overweight (OW) and 5.2% obese (OB). Improvement in eating habits were seen among children of all BMI categories (change in FD-score: UW 13.2%, NW 12.3%, OW 10.4% and OB 12.4% (p < 0.001)). Furthermore,> 90% parents(n = 1028) and > 95% teachers(n = 39) strongly agreed/agreed that the intervention was easy to implement, motivated children and led to an observable improvement in healthy eating.Conclusion: This novel program led to an immediate improvement in eating habits and was well accepted by parents and teachers making it a potentially suitable intervention for wider implementation in primary schools in urban Sri Lanka. [ABSTRACT FROM AUTHOR]

Wheat contains several components, including gluten and fructan, that may be associated with gastrointestinal symptoms (GI) in irritable bowel syndrome (IBS). The aims of the study were to determine the average daily intake of gluten, investigate the association of gluten and GI symptoms, as well as the association between fructan and GI symptoms in IBS subjects. We assessed dietary intake, including total energy, and calculated average gluten and fructan intake in this 4-day food diary study. The subjects reported GI symptoms using the validated Gastrointestinal Symptom Rating Scale-IBS (GSRS-IBS). In total, 147 IBS subjects (116 females) were included in this study. The median (IQR) intake of gluten was 11.0 (7.5–15.4) (range: 0.6–52.1) g/day, and this intake was significantly higher for males (16.2 (11.5–18.8), g/day) compared with females (10.3 (7.3–13.2), g/day) (P ≤ 0.001). For analyses purposes, the subjects were stratified in tertiles of gluten intake. Median (IQR) overall GI symptom severity (GSRS-IBS) was significantly worse for the subjects with the lowest (52 (45–57)) and intermediate gluten intake (51 (43–58)), compared with the highest gluten intake (45 (37–50), P ≤ 0.05, and P ≤ 0.01 respectively). In addition, caloric intake was significantly lower in subjects with the lowest (1905 ± 446, kcal/day) and intermediate gluten intake (1854 ± 432, kcal/day), compared with subjects with the highest gluten intake (2305 ± 411, kcal/day), P < 0.001 for both. Analyses of the stratified fructan tertiles resulted in no significant differences in GSRS-IBS. The mean intake of gluten varies substantially among subjects with IBS, and IBS subjects with more severe GI symptoms have lower intake of gluten and calories. (http://www.clinicaltrials.gov): Registered under Clinical Trial number NCT02970591. [ABSTRACT FROM AUTHOR]

An accurate dietary fish questionnaire can be used to predict dietary intake status of omega-3 long chain polyunsaturated fatty acids (n-3 LCPUFA). The aim of this study was to design and validate a food frequency questionnaire (FFQ) to predict fish consumption of primary school children against a 7-day food diary (7d FD). A cross-sectional study was performed in elementary school in Surakarta, Indonesia. A total of 164 children aged 8 to 12 yo which were recruited using multi-stage random sampling were participated in this study. The FFQ consisted of 38 species of fish including 27 species of fresh fish and 11 species of processed fish. Total median (interquartile range) fish intake determined from the FFQ vs 7d FD was similar of 60 (36-114) g/d and 59 (37-108) g/d, respectively. A very good correlation was found between the FFQ and 7d FD by Spearman's correlation coefficient test (r=0.965, p=0.0001) with an acceptable of the two methods using non-parametric limit of agreement (95% LoA=-10.907-34.619, median difference=0.011, 95% CI for median difference=-2.408-1.193). The FFQ is acceptable a valid tool to determine fish intake in this group. [ABSTRACT FROM AUTHOR]

Miscarriage is the most common complication in early pregnancy. It was recently reported in mice that miscarriage can be prevented through the administration of niacin. We conducted a prospective, exploratory pilot study involving 24 women who were less than 14 weeks pregnant. Neither niacin intake (P = 0.24) nor urinary vitamin B3 measured as the 1‐methyl‐5‐carboxylamide‐2‐pyridone/N‐1‐methylnicotinamide (2‐pyr/MNA) ratio (P = 1.00) predicted miscarriage. However, the difference in mean 2‐pyr/MNA ratios between women who miscarried and controls suggests there may be a threshold niacin level protective in miscarriage prevention warranting further investigation. [ABSTRACT FROM AUTHOR]

Metabolism of dietary fibres by colon microbiota plays an important role for human health. Personal data from a nutrition study (57 subjects) were analysed to elucidate quantitative associations between the diet, faecal microbiome, organic acid concentrations and pH. Ratios of the predominant acids acetate, butyrate and propionate ranged from 1:0.67:0.27 to 1:0.17:0.36. Pectin-rich diets resulted in higher faecal acetate concentrations. Negative correlation between faecal pH and BSS was observed. Higher faecal pH and lower acid concentrations were related to the higher abundance of amino acid degrading Clostridium , Odoribacter and Eubacterium coprostanoligenes , which are weak carbohydrate fermenting taxa . Propionic acid correlated especially to high abundance of Prevotella and low abundance of proteobacteria. The acetate to propionate ratio of the Prevotella enterotype was about half of that of the Bacteroides enterotype. Based on the results we suggest the measurement of faecal pH and organic acid composition for research and diagnostic purposes., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

The first fast- food vendors were ambulant merchants who parked their carriages with delicacies at the entrance of the factories to feed the workers. This practice is specific to today's Turkish ambulant merchants who expose their “kokoreç”, “manti”, “pilav” and “pide” carts anywhere in the street. The aim of this research was to determine the attitudes and perceptions of the new gene - rations of consumers towards fast food products and to verify the hypothesis that students and IT specialists are the most predisposed segments to such behaviour. In order to carry out this research, a non -exhaustive random survey of 63 people was conducted and a questionnaire was used as a method of information gathering. The research has concluded that the fast food market in the Republic of Moldova is on the rise due to the emergence of a new type of consumer.

Background: Gastrointestinal (GI) symptoms have a heterogeneous pathophysiology. Yet, clinical management uses group‐level strategies. There is a need for studies exploring personalized management options in patients with GI symptoms. From diaries of GI symptoms, food intake, and psychological distress, we extracted and validated personalized lifestyle advice. Secondly, we investigated group‐level GI symptom triggers using meta‐analysis. Methods: We collected 209 diaries of GI symptoms, food intake, and psychological distress, coming from 3 cohorts of patients with GI symptoms (n = 20, 26, and 163, median lengths 24, 17, and 38 days). Diaries were split into training and test data, analyzed, and the triggers emerging from the training data were tested in the test data. In addition, we did a random effects meta‐analysis on the full data to establish the most common GI symptom triggers. Key Results: Analysis of the training data allowed us to predict symptom triggers in the test data (r = 0.27, P <.001), especially in the subset of patients with a strong global association between lifestyle factors and symptoms (r = 0.45, P <.001). Low exposure to these triggers in the test data was associated with symptom reduction (P =.043). Meta‐analysis showed that caloric intake in the late evening or night predicted an increase in GI symptoms, especially bloating. Several food‐symptom associations were found, whereas psychological distress did not clearly lead to more severe GI symptoms. Conclusions & Inferences: Diaries of GI symptoms, food intake, and psychological distress can lead to meaningful personalized lifestyle advice in subsets of patients. [ABSTRACT FROM AUTHOR]

Household food waste is considered to be the largest share of food waste along the food supply chain. Given that its recoverability is also more challenging compared to food waste in other stages of the chain, most studies on household food waste adopt a pre‐emptive approach by aiming to identify and address consumer beliefs, attitudes and actions that are linked to food waste. In scientific literature, household food waste has often been studied in relation to the habit of purchasing discounted food products (DFP). However, findings have been contradictory. Specifically, while some authors found that deal‐prone consumers are usually of lower income and therefore display a wiser and more attentive attitude towards grocery shopping, other authors reported that the purchase of discounted products was usually linked to compulsive shopping, hence resulting in higher food waste quantities at home. Due to these discrepant findings, a definitive answer on the impact of DFP on household food waste does not currently exist in the literature. This paper analyses the correlation between the purchase of DFP and weekly household food waste quantities. To do so, we examine (a) the results of a food waste diary experiment carried out on a representative sample of 385 households in Italy in February 2017, and (b) the results of a 23‐items Computer Assisted Web Interview survey administered to the same householders, in which shopping habits were investigated. Results revealed no evidence of either a positive or negative relationship between the purchase of DFP and household food waste quantities. Frequency of grocery shopping was the only variable found to have a significant impact on household food waste quantities. [ABSTRACT FROM AUTHOR]

Collecting accurate and detailed dietary intake data is costly at a national level. Accordingly, limited dietary assessment tools such as Short Food Questionnaires (SFQs) are increasingly used in large surveys. This paper describes a novel method linking matched datasets to improve the quality of dietary data collected. Growing Up in Ireland (GUI) is a nationally representative longitudinal study of infants in the Republic of Ireland which used a SFQ (with no portion sizes) to assess the intake of “healthy” and “unhealthy” food and drink by 3 years old preschool children. The National Preschool Nutrition Survey (NPNS) provides the most accurate estimates available for dietary intake of young children in Ireland using a detailed 4 days weighed food diary. A mapping algorithm was applied using food name, cooking method, and food description to fill all GUI food groups with information from the NPNS food datafile which included the target variables, frequency, and amount. The augmented data were analyzed to examine all food groups described in NPNS and GUI and what proportion of foods were covered, non-covered, or partially-covered by GUI food groups, as a percentage of the total number of consumptions. The term non-covered indicated a specific food consumption that could not be mapped using a GUI food group. “High sugar” food items that were non-covered included ready-to-eat breakfast cereals, fruit juice, sugars, syrups, preserves and sweeteners, and ice-cream. The average proportion of consumption frequency and amount of foods not covered by GUI was 44 and 34%, respectively. Through mapping food codes in this manner, it was possible, using density plots, to visualize the relative performance of the brief dietary instrument (SFQ) compared to the more detailed food diary (FD). The SFQ did not capture a substantial portion of habitual foods consumed by 3-year olds in Ireland. Researchers interested in focussing on specific foods, could use this approach to assess the proportion of foods covered, non-covered, or partially-covered by reference to the mapped food database. These results can be used to improve SFQs for future studies and improve the capacity to identify diet-disease relationships.

The Mangyans as a group of people traces a history of marginalization both in their ancestral domain and in their access to basic social services, particularly, health and education. This study was conducted to: 1) determine the socio-economic characteristics and household food expenditures of the Buhid women; 2) determine their food security condition; and 3) identify the food insecurity coping strategies employed. The descriptive method was employed. The United States Department of Agriculture (USDA) Food Sufficiency Questionnaire and Coping Strategy Index (CSI) was used to enumerate both frequency and severity of coping strategies of households faced with short-term insufficiency of food. Results show that majority of the Buhid women were between 20 and 39 years old, which means that they were still in their middle age and can still perform reproductive and productive activities. They have big household size, with low level of basic education, and with an average monthly income below the poverty threshold. The biggest portion of the household expenditure was spent for food. The Buhid women experienced "food insecurity with moderate hunger" in which adults in the households have experienced reductions in food intake. It is recommended that further study on the relationship between the socio- economic characteristics of the Buhid women and household security status and their coping strategies be conducted.