Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study.

Background: Accurately assessing an individual's diet is vital in the management of personal nutrition and in the study of the effect of diet on health. Despite its importance, the tools available for dietary assessment remain either too imprecise, expensive, or burdensome for clinical or research use. Image-based methods offer a potential new tool to improve the reliability and accessibility of dietary assessment. Though promising, image-based methods are sensitive to adherence, as images cannot be captured from meals that have already been consumed. Adherence to image-based methods may be improved with appropriately timed prompting via text message. Objective: This study aimed to quantitatively examine the effect of prompt timing on adherence to an image-based dietary record and qualitatively explore the participant experience of dietary assessment in order to inform the design of a novel image-based dietary assessment tool. Methods: This study used a randomized crossover design to examine the intraindividual effect of 3 prompt settings on the number of images captured in an image-based dietary record. The prompt settings were control, where no prompts were sent; standard, where prompts were sent at 7:15 AM, 11:15 AM, and 5:15 PM for every participant; and tailored, where prompt timing was tailored to habitual meal times for each participant. Participants completed a text-based dietary record at baseline to determine the timing of tailored prompts. Participants were randomized to 1 of 6 study sequences, each with a unique order of the 3 prompt settings, with each 3-day image-based dietary record separated by a washout period of at least 7 days. The qualitative component comprised semistructured interviews and questionnaires exploring the experience of dietary assessment. Results: A total of 37 people were recruited, and 30 participants (11 male, 19 female; mean age 30, SD 10.8 years), completed all image-based dietary records. The image rate increased by 0.83 images per day in the standard setting compared to control (P=.23) and increased by 1.78 images per day in the tailored setting compared to control (P≤.001). We found that 13/21 (62%) of participants preferred to use the image-based dietary record versus the text-based dietary record but reported method-specific challenges with each method, particularly the inability to record via an image after a meal had been consumed. Conclusions: Tailored prompting improves adherence to image-based dietary assessment. Future image-based dietary assessment tools should use tailored prompting and offer both image-based and written input options to improve record completeness.

Development of a Tool for Reporting Key Dietary Indicators from Sales Data in Remote Australian Aboriginal and Torres Strait Islander Community Stores.

Reporting key dietary indicators from sales data can help us guide store decision makers in developing effective store policy to support healthier customer purchases. We aimed to develop a web-based reporting tool of key dietary indicators from sales data to support health-promoting policy and practice in stores in geographically remote Aboriginal and Torres Strait Islander communities. Tool development included identifying key dietary indicators (informed by sales data from 31 stores), community consultation (19 Aboriginal and Torres Strait Islander store directors and two store managers) and a web-build. Tool evaluation involved feedback interviews with stakeholders (25 store managers and two nutritionists). Key dietary indicators aligned with Australian Dietary Guideline food groupings and recommendations. An online portal for accessing and customising reports was built. Stakeholder feedback indicated that the strengths of the reports were the visuals, ease of interpretation, providing information that was not currently available and potential to increase capacity to support healthy food retailing. Difficulties were defining healthiness classification with alignment to other nutrition guidelines used and ensuring reports reached relevant store decision makers. This tool may be valuable to support store decision makers in identifying and prioritising nutrition issues and optimising the health-enabling attributes of stores.

Dietary Intake and Symptom Severity in Women with Fecal Incontinence.

INTRODUCTION AND HYPOTHESIS: The goal of this study was to determine whether dietary fat/fiber intake was associated with fecal incontinence (FI) severity. METHODS: Planned supplemental analysis of a randomized clinical trial evaluating the impact of 12-week treatment with percutaneous tibial nerve stimulation versus sham in reducing FI severity in women. All subjects completed a food screener questionnaire at baseline. FI severity was measured using the seven-item validated St. Mark's (Vaizey) FI severity scale. Participants also completed a 7-day bowel diary capturing the number of FI-free days, FI events, and bowel movements per week. Spearman's correlations were calculated between dietary, St. Mark's score, and bowel diary measures. RESULTS: One hundred and eighty-six women were included in this analysis. Mean calories from fats were 32% (interquartile range [IQR] 30-35%). Mean dietary fiber intake was 13.9 ± 4.3 g. The percentage of calories from fats was at the higher end of recommended values, whereas fiber intake was lower than recommended for adult women (recommended values: calories from fat 20-35% and 22-28 g of fiber/day). There was no correlation between St. Mark's score and fat intake (r = 0.11, p = 0.14) or dietary fiber intake (r = -0.01, p = 0.90). There was a weak negative correlation between the number of FI-free days and total fat intake (r = -0.20, p = 0.008). Other correlations between dietary fat/fiber intake and bowel diary measures were negligible or nonsignificant. CONCLUSION: Overall, in women with moderate to severe FI, there was no association between FI severity and dietary fat/fiber intake. Weak associations between FI frequency and fat intake may suggest a role for dietary assessment in the evaluation of women with FI.

Dietary Amino Acid Composition and Glycemic Biomarkers in Japanese Adolescents.

Protein intake reportedly increases the risk of diabetes; however, the results have been inconsistent. Diabetes in adulthood may be attributed to early life dietary amino acid composition. This study aimed to investigate the association between amino acid composition and glycemic biomarkers in adolescents. Dietary intake was assessed using a food frequency questionnaire, and fasting glucose and insulin levels were measured in 1238 eighth graders. The homeostatic model assessment (HOMA) indices (insulin resistance and ß-cell function) were calculated. Anthropometrics were measured and other covariates were obtained from a questionnaire. Amino acid composition was isometric log transformed according to the compositional data analysis, which was used as explanatory variables in multivariate linear regression models for glucose, insulin, and HOMA indices. Only the association between glucose and leucine was significant. In replacement of other amino acids with leucine, an increase of 0.1% of total amino acids correlated with a lower glucose level (-1.02 mg/dL). One-to-one substitution of leucine for isoleucine or methionine decreased glucose (-2.98 and -2.28 mg/dL, respectively). Associations with other biomarkers were not observed. In conclusion, compositional data analysis of amino acids revealed an association only with glucose in adolescents; however, the results of this study should be verified in other populations.

The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment.

Technology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-driven food intake data. Participants (n = 179) were randomly assigned and trained to record three meals using either MS3D or a written food record (WFR). Generous amounts of standardized meals were provided, and participants self-selected portions for each food. The weights of provided and uneaten/leftover foods were used to determine true intake. For total energy intake (three meals combined), validity (Pearson correlation) was significantly higher for MS3D vs. the WFR (p < 0.001); when interpreted as the percentage of variance in energy intake explained, MS3D explained 84.6% of true variance, a 25.3% absolute and 42.6% relative increase over the 59.3% explained by the WFR. For 9 of 15 individual foods, the Pearson correlations between true and reported portion size estimates were significantly larger for MS3D than the WFR. Bias was smaller (intercepts were closer to the means) for 9 of 15 foods and the regression coefficients for 10 of 15 foods were significantly closer to 1.0 in the MS3D arm. MS3D is feasible for dietary assessment and may provide improvements in accuracy compared to WFRs.

Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review.

The UK Biobank is a cohort study that collects data on diet, lifestyle, biomarkers, and health to examine diet-disease associations. Based on the UK Biobank, we reviewed 36 studies on diet and three health conditions: type 2 diabetes (T2DM), cardiovascular disease (CVD), and cancer. Most studies used one-time dietary data instead of repeated 24 h recalls, which may lead to measurement errors and bias in estimating diet-disease associations. We also found that most studies focused on single food groups or macronutrients, while few studies adopted a dietary pattern approach. Several studies consistently showed that eating more red and processed meat led to a higher risk of lung and colorectal cancer. The results suggest that high adherence to "healthy" dietary patterns (consuming various food types, with at least three servings/day of whole grain, fruits, and vegetables, and meat and processed meat less than twice a week) slightly lowers the risk of T2DM, CVD, and colorectal cancer. Future research should use multi-omics data and machine learning models to account for the complexity and interactions of dietary components and their effects on disease risk.

Representation of adults with class III obesity in studies assessing validity of self-reported energy intake using doubly labeled water: A systematic review.

The measurement of habitual energy intake remains a challenge in nutrition research. High levels of misreporting, particularly among adults with obesity, have been observed when comparing self-reported energy intake to energy expenditure assessed via the doubly labeled water technique. Little is known about misreporting in adults with class III obesity (body mass index ≥40 kg/m2). This systematic review assessed the representation of adults with class III obesity in dietary validation studies and the validity of self-reported dietary energy intake for this group. Studies were included in this review if they: compared self-reported energy intake assessment method(s) to doubly labeled water, had participants ≥18 years old, and included participants with class III obesity. Fifteen studies met these criteria. Of those, eight included information about the number of participants with class III obesity. Out of 1784 participants across eight studies, 63 (3.5%) participants had class III obesity, compared to 9.2% of US adults with class III obesity. Six studies provided data on validity of energy intake assessment for class III obesity, with five of these showing underreporting. Participants with class III obesity are underrepresented in dietary validation studies. Future research should explore the role of weight status on dietary reporting accuracy.

Dietary intake and nutritional status in patients with newly diagnosed inflammatory bowel disease: insights from the IBSEN III study.

BACKGROUND: Dietary recommendations in inflammatory bowel disease (IBD) are inconclusive, and patients may follow restrictive diets with increased risk of malnutrition. The aim of this study was to compare dietary intakes and nutritional status in men and women with newly diagnosed IBD with a general population sample, and to investigate whether intakes were in line with the Nordic Nutrition Recommendations. METHODS: This was a cross-sectional study including adults≥ 40 years with IBD from the Inflammatory Bowel Disease in South-Eastern Norway (IBSEN) III cohort study. A validated food frequency questionnaire (FFQ) was used in dietary data collection, and a sample from the seventh survey of the Tromsø Study was included as a comparison group. RESULTS: A total of 227 men and women with IBD were included. IBD patients had higher intake of grain products, sweetened beverages, energy, fat and polyunsaturated fat (PUFA), but lower intake of dairy products, alcohol and iodine compared to adults from the comparison sample (p < 0.01). Intakes of saturated fat and carbohydrates in both genders, and vitamin D in women were not within recommended levels. Anemia and hypoalbuminemia were more prevalent in IBD patients than in the comparison sample. CONCLUSIONS: Dietary intakes in newly diagnosed IBD patients were mostly in line with Nordic Nutrition Recommendations. Higher proportion of IBD patients exceeded recommended allowances of fat and added sugar than the comparison sample. Insufficient micronutrient intake, anemia and hypoalbuminemia are present challenges in IBD patients that require monitoring.

Self-prescribed dietary restrictions in patients with inflammatory bowel disease (IBD) due to inconclusive dietary guidance may influence their risk of malnutrition. Comprehensive assessment of both dietary intake and nutritional status as early as time of diagnosis may help identify challenges in this patient group and implement appropriate interventions.

User Requirements in Developing a Novel Dietary Assessment Tool for Children: Mixed Methods Study.

BACKGROUND: The prevalence of childhood obesity and comorbidities is rising alarmingly, and diet is an important modifiable determinant. Numerous dietary interventions in children have been developed to reduce childhood obesity and overweight rates, but their long-term effects are unsatisfactory. Stakeholders call for more personalized approaches, which require detailed dietary intake data. In the case of primary school children, caregivers are key to providing such dietary information. However, as school-aged children are not under the full supervision of one specific caregiver anymore, data are likely to be biased. Recent technological advancements provide opportunities for the role of children themselves, which would serve the overall quality of the obtained dietary data. OBJECTIVE: This study aims to conduct a child-centered exploratory sequential mixed methods study to identify user requirements for a dietary assessment tool for children aged 5 to 6 years. METHODS: Formative, nonsystematic narrative literature research was undertaken to delineate initial user requirements and inform prototype ideation in an expert panel workshop (n=11). This yielded 3 prototype dietary assessment tools: FoodBear (tangible piggy bank), myBear (smartphone or tablet app), and FoodCam (physical camera). All 3 prototypes were tested for usability by means of a usability task (video analyses) and user experience (This or That method) among 14 Dutch children aged 5 to 6 years (n=8, 57% boys and n=6, 43% girls). RESULTS: Most children were able to complete FoodBear's (11/14, 79%), myBear's (10/14, 71%), and FoodCam's (9/14, 64%) usability tasks, but all children required assistance (14/14, 100%) and most of the children encountered usability problems (13/14, 93%). Usability issues were related to food group categorization and recognition, frustrations owing to unsatisfactory functioning of (parts) of the prototypes, recall of food products, and the distinction between eating moments. No short-term differences in product preference between the 3 prototypes were observed, but autonomy, challenge, gaming elements, being tablet based, appearance, social elements, and time frame were identified as determinants of liking the product. CONCLUSIONS: Our results suggest that children can play a complementary role in dietary data collection to enhance the data collected by their parents. Incorporation of a training program, auditory or visual prompts, reminders and feedback, a user-friendly and intuitive interaction design, child-friendly food groups or icons, and room for children's autonomy were identified as requirements for the future development of a novel and usable dietary assessment tool for children aged 5 to 6 years. Our findings can serve as valuable guidance for ongoing innovations in the field of children's dietary assessment and the provision of personalized dietary support.

A scoping review of dietary assessment questionnaires potentially suitable for assessing habitual dietary intake in the National Health and Nutrition Survey, Japan.

This scoping review aimed to identify questionnaire-based dietary assessment methods for use in the National Health and Nutrition Survey (NHNS) in Japan. The search was conducted in three databases (PubMed, Web of Science, and Ichushi) to identify questionnaire such as food frequency questionnaire and dietary history questionnaire validated against dietary recalls or food records for the intakes of both food groups and nutrients among Japanese adults. Study quality was assessed based on previously developed criteria. We extracted the questionnaire characteristics and the design and results of the validation studies. We identified 11 questionnaires, with the number of food items ranging from 40 to 196, from 32 articles of good quality. In the validation studies, participants were aged 30-76 years and 90% of the articles used ≥3 d dietary records as reference. The number of nutrients and food groups with a group-level intake difference within 20% against the reference method ranged from 1 to 30 and 1 to 11, respectively. The range of mean correlation coefficients between questionnaire and reference methods were 0.35-0.57 for nutrients and 0.28-0.52 for food groups. When selecting a survey instrument in the NHNS from the 11 existing questionnaires identified in this study, it is important to select one with high group-level comparison and correlation coefficient values on the intended assessment items after scrutinizing the design and results of the validation study. This review may serve as a reference for future studies that explore dietary assessment tools used for assessing dietary intake in specific representative populations.

Investigation of Amino Acid and Fatty Acid Profiles of Japanese Diets Using the Food Exchange Lists for Diabetes Diet.

Dietary Reference Intakes for Japanese provide target values for proteins, fats, and carbohydrates. However, they do not provide information on reference values for amino acids (AAs) and fatty acids (FAs), which determine the quality of foods in detail. Therefore, we evaluated AAs and FAs using the Food Exchange Lists-Dietary Guidance for Persons with Diabetes (in Japanese) Utilization, Second Edition Sample Menus and Practice (FELD) as an ideal Japanese diet. Based on FELD, 15 different daily meal patterns were employed with combinations of three levels of carbohydrates %energy (high carbohydrate [HC], 60%; middle carbohydrate [MC], 55%; and low carbohydrate [LC], 50%) and five levels of energy (1,200-2,000 kcal). Using the Japanese Food Composition Table 2020 adjusted for 1,000 kcal, 18 AAs, 49 FAs, and calorie densities (CDs, kcal/g) were calculated and compared among the three groups. Dietary AA was rich in glutamic acid, aspartic acid, and leucine; in order, no significant differences were observed among HC, MC, and LC for 18 AAs. Dietary FA was higher for 18:1 total, 16:0, and 18:2 n-6. Moreover, 16:0, 20:0, and 18:1 total in LC and 22:0 and 18:3 n-3 in MC were significantly higher than those in HC. The HC, MC, and LC CD was low at 0.82, 0.84, and 0.93 kcal/g, respectively. No significant differences in 18 AAs and CD were noted among HC, MC, and LC in FELD; however, significant differences were observed in the FA profiles. This study suggests the importance of evaluating diet using AA and FA units.

Cariogenic Diet Assessment and Analysis Tools in Children and Adolescents: A Systematic Review.

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.

Development and validation of a food frequency questionnaire to assess habitual iodine intake among women of childbearing age.

BACKGROUND: Adequate iodine status is critical for thyroid hormone synthesis, which is essential for foetal brain development. Suboptimal iodine status has been reported in young women across Europe. Although urinary iodine concentration (UIC) is a good indicator of recent exposure, it does not reflect habitual iodine intake. This study aimed to develop and validate an iodine-specific food frequency questionnaire (I-FFQ) to assess habitual intake in Irish women aged 18-50 years. METHODS: A 47-item interviewer-administered I-FFQ, informed by national food consumption data on Irish women aged 18-35 years, was developed and validated in a study of 100 nonpregnant women using a 4-day weighed food diary (FD) and UIC as the reference methods. Correlation, cross-classification and Bland-Altman analyses were used to assess agreement and bias between the I-FFQ and FD. Validity coefficients were calculated using the method of triads. RESULTS: Median (interquartile range [IQR]) UIC was 82 (49, 139) µg/L. Median (IQR) intakes were 161 (106, 217) and 133 (98, 182) µg/day for the I-FFQ and FD, respectively (p = 0.001). Estimates were moderately correlated (r = 0.434), and the I-FFQ classified 89% of participants into the same or adjacent tertile of intake as the FD. Validity coefficients for the I-FFQ, FD and UIC were 0.542, 0.800 and 0.228, respectively. Though repeatability analyses 10 weeks later (n = 69) showed slight differences in estimates of intake (I-FFQ1: 164 (104, 210) µg/day; I-FFQ2: 132 (67, 237) µg/day), intakes were highly correlated between administrations (r = 0.627, p = 0.001). CONCLUSIONS: The I-FFQ provides a reasonable estimate of habitual iodine intake in young women.

Exploring preliminary dietary intake results using a novel dietary assessment tool with pregnant participants enrolled in a birth cohort.

OBJECTIVE: We aimed to describe preliminary dietary intake results using DietID™ for dietary assessment during pregnancy. A sub-sample of participants in the Research Enterprise to Advance Children's Health (REACH) prospective birth cohort from Detroit, MI received a unique web link to complete the DietID™ assessment multiple times during pregnancy. We present results for the first dietary assessment completed during pregnancy by each participant. DietID™ uses an image-based algorithm to estimate nutrient intake, dietary patterns, and diet quality and provides immediate results to participants. Descriptive statistics were used to summarize participant characteristics, nutrient intakes, dietary patterns, diet quality, and participant-rated accuracy of individual dietary assessment results. Differences in diet parameters were assessed by participant race with an independent t-test. RESULTS: Participants (n = 84) identified as majority Black (n = 47; 56%), reflective of the source population. Mean (SD) maternal age and gestational age at dietary assessment were 32 (5.6) years and 14.3 (4.8) weeks, respectively. Mean dietary quality, as reported in the DietID™ data output as the Healthy Eating Index (HEI), was 68 (range 12-98; higher scores indicate higher diet quality) and varied significantly between Black (mean [SD] 61 [23]) and White (mean [SD] 81 [19]) race (p < 0.01). Mean participant-rated accuracy of individual dietary assessment results was high at 87% on a scale of 0-100% ("not quite right" to "perfect"; range 47-100%).

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

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

A Short Dietary Assessment Instrument to Evaluate Protein Quality and the Diversity of Protein Sources in Malaysian Diets.

The diversity of protein food sources, animal and plant, may be a proxy measure of protein quality and adequate protein nutrition. A population-based sample of 1604 Malaysians aged ≥18 y completed one 24-h dietary recall and a new 29-item protein diversity indicator (PDI). Socio-demographic data were obtained by self-report. Mean total protein intakes were 75.2 g/d from 24-h recalls and 74.9 g/d from PDI. Protein diversity indicator-estimated protein intakes were 36.2% from meat and poultry, 8.8% from fish, 16.0% from eggs and dairy, and 39.0% from plants. Intakes of animal proteins varied with socioeconomic status and ethnicity and were associated with higher protein quality, defined as the adequacy of essential amino acids (EAAs) relative to protein requirements. Protein intakes and protein quality in Malaysia were generally adequate. Protein diversity indicator metrics can complement current methods of dietary assessment and may be useful for monitoring protein diversity and quality in other countries currently undergoing nutrition transition.

Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnair.

Healthy dietary patterns such as the Mediterranean diet (MeDi), Dietary Approaches to Stop Hypertension (DASH) and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) have been evaluated for their potential association with health outcomes. However, the lack of standardisation in scoring methodologies can hinder reproducibility and meaningful cross-study comparisons. Here we provide a reproducible workflow for generating the MeDi, DASH and MIND dietary pattern scores from frequently used dietary assessment tools including the 24-h recall tool and two variations of FFQ. Subjective aspects of the scoring process are highlighted and have led to a recommended reporting checklist. This checklist enables standardised reporting with sufficient detail to enhance the reproducibility and comparability of their outcomes. In addition to these aims, valuable insights in the strengths and limitations of each assessment tool for scoring the MeDi, DASH and MIND diet can be utilised by researchers and clinicians to determine which dietary assessment tool best meets their needs.

The Impact of Weight Bias and Stigma on the 24 h Dietary Recall Process in Adults with Overweight and Obesity: A Pilot Study.

People with overweight and obesity tend to both underreport dietary energy intake and experience weight stigma. This exploratory pilot study aimed to determine the relationship between weight bias and weight stigma and energy intake reporting accuracy. Thirty-nine weight-stable adults with BMI ≥ 25 completed three 24 h dietary recalls; indirect calorimetry to measure resting metabolic rate; a survey measuring weight stigma, psychosocial constructs, and physical activity; and a semi-structured qualitative interview. Multiple linear regression was used to determine if weight bias internalization, weight bias toward others, and experiences of weight stigma were predictive of the accuracy of energy reporting. A thematic analysis was conducted for the qualitative interviews. Weight stigma was reported by 64.1% of the sample. Weight stigma constructs did not predict the accuracy of energy intake reporting. People with obesity underreported by a mean of 477 kcals (p = 0.02). People classified as overweight overreported by a mean of 144 kcals, but this was not significant (p = 0.18). Participants reported a desire to report accurate data despite concerns about reporting socially undesirable foods. Future research should quantify the impact of weight stigma on energy reporting in 24 h recalls using a larger, more diverse sample size and objective measures like doubly labeled water for validation.

The Validity and Feasibility of Utilizing the Photo-Assisted Dietary Intake Assessment among College Students and Elderly Individuals in China.

Dietary assessments hold significant importance within the field of public health. However, the current methods employed for dietary assessments face certain limitations and challenges that necessitate improvement. The aim of our study was to develop a reliable and practical dietary assessment tool known as photo-assisted dietary intake assessment (PAD). In order to evaluate its validity, we conducted an analysis on a sample of 71 college students' dinners at a buffet in a canteen. We compared estimates of food weights obtained through the 24-h recall (24 HR) or PAD method with those obtained through the weighing method; we also evaluated the feasibility of PAD for recording dinner intakes among a sample of college students (n = 76) and elderly individuals (n = 121). In addition, we successfully identified the dietary factors that have a significant impact on the bias observed in weight estimation. The findings of the study indicated that the PAD method exhibited a higher level of consistency with the weighing method compared to the 24 HR method. The discrepancy in D% values between cereals (14.28% vs. 40.59%, P < 0.05), vegetables (17.67% vs. 44.44%, P < 0.05), and meats (14.29% vs. 33.33%, P < 0.05) was clearly apparent. Moreover, a significant proportion of the food mass value acquired through the PAD method fell within the limits of agreement (LOAs), in closer proximity to the central horizontal line. Furthermore, vegetables, cereals, eggs, and meats, for which the primary importance lies in accuracy, exhibited a considerably higher bias with the 24 HR method compared to the PAD method (P < 0.05), implying that the PAD method has the potential to mitigate the quality bias associated with these food items in the 24 HR method. Additionally, the PAD method was well received and easily implemented by the college students and elderly individuals. In conclusion, the PAD method demonstrates a considerable level of accuracy and feasibility as a dietary assessment method that can be effectively employed across diverse populations.

Comparing self-reported energy intake using an online dietary tool with energy expenditure by an activity tracker.

OBJECTIVE: The aim of this study was to compare self-reported total energy intake (TEI) collected using an online multiple-pass 24-h dietary recall tool (Intake24) with total energy expenditure (TEE) estimated from Fitbit Charge 2-improved algorithms in adults from the NoHoW trial (12-mo weight maintenance after free-living weight loss). METHODS: Bland-Altman plots were used to assess the level of agreement between TEI and TEE at baseline and after 12 mo. The ratio of TEI to TEE was also calculated. RESULTS: Data from 1323 participants (71% female) was included in the analysis (mean ± SD: age 45 ± 12 y, body mass index 29.7 ± 5.4 kg/m2, initial weight loss 11.5 ± 6.5 kg). The TEI was lower than TEE on average by 33%, with limits of agreement ranging from -91% to +25%. Men, younger individuals, those with higher body mass index, those with the greater weight loss before enrollment, and those who gained weight during the study underestimated to a greater extent. CONCLUSIONS: These findings contribute to the ongoing research examining the validity of technology-based dietary assessment tools.