scholarly journals Applying a meal coding system to 16-d weighed dietary record data in the Japanese context: towards the development of simple meal-based dietary assessment tools

2018 ◽  
Vol 7 ◽  
Author(s):  
Kentaro Murakami ◽  
M. Barbara E. Livingstone ◽  
Satoshi Sasaki ◽  
Naoko Hirota ◽  
Akiko Notsu ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Dietary Assessment ◽  
Food Group ◽  
Scientific Basis ◽  
Food Composition ◽  
Assessment Tools ◽  
Coding System ◽  
Nutrient Intakes ◽  
Dietary Record ◽  
Eating Occasions

AbstractData on the combination of foods consumed simultaneously at specific eating occasions are scarce, primarily due to a lack of assessment tools. We applied a recently developed meal coding system to multiple-day dietary intake data for assessing its ability to estimate food and nutrient intakes and characterise meal-based dietary patterns in the Japanese context. A total of 242 Japanese adults completed sixteen non-consecutive-day weighed dietary records, including 14 734 eating occasions (3788 breakfasts, 3823 lunches, 3856 dinners and 3267 snacks). Common food group combinations were identified by meal type to identify a range of generic meals. Dietary intake was calculated on the basis of not only the standard food composition database but also the substituted generic meal database. In total, eighty generic meals (twenty-three breakfasts, twenty-one lunches, twenty-four dinners and twelve snacks) were identified. The Spearman correlation coefficients between food group intakes calculated based on the standard food composition database and the substituted generic meal database ranged from 0·26 to 0·85 (median 0·69). The corresponding correlations for nutrient intakes ranged from 0·17 to 0·82 (median 0·61). A total of eleven meal patterns were established using principal components analysis, and these accounted for 39·1 % of total meal variance. Considerable variation in patterns was seen in meal type inclusion and choice of staple foods (bread, rice and noodles) and drinks, and also in meal constituents. In conclusion, this study demonstrated the usefulness of a meal coding system for assessing habitual diet, providing a scientific basis towards the development of simple meal-based dietary assessment tools.

Development and simulated validation of a dish composition database for estimating food group and nutrient intakes in Japan

2019 ◽  
Vol 22 (13) ◽  
pp. 2367-2380 ◽  
Author(s):  
Nana Shinozaki ◽  
Kentaro Murakami ◽  
Shizuko Masayasu ◽  
Satoshi Sasaki
Keyword(s):  
Dietary Intake ◽  
Correlation Coefficients ◽  
Food Group ◽  
Food Composition ◽  
Alcoholic Beverages ◽  
Food Groups ◽  
Nutrient Intakes ◽  
Nutrient Contents ◽  
Animal Fats ◽  
Dietary Records

AbstractObjective:To develop a dish composition database (DCD) and assess its ability to estimate dietary intake.Design:The DCD was developed based on 16 d dietary records (DR). We aggregated all reported dishes into 128 dish codes and calculated mean food group and nutrient contents for each code. These data were used to calculate dietary intake in a different population that completed a 4 d DR. The estimated values were compared with those estimated using the standard food composition database (FCD) of Japan.Setting:Japan.Participants:A total 252 adults aged 31–81 years for the 16 d DR (3941 d in total) and 392 adults aged 20–69 years for the 4 d DR (1568 d in total) participated.Results:There were significant differences in median intakes between the DCD and the FCD for eighteen and twenty (of twenty-six) food groups and for twenty-nine and twenty-two (of forty-three) nutrients (including energy) in men and women, respectively. For food group intakes, Spearman correlation coefficients between the DCD and FCD ranged from 0·19 (animal fats) to 0·90 (fruits and alcoholic beverages) in men (median: 0·61) and from 0·25 (oils) to 0·89 (noodles) in women (median: 0·58). For nutrient intakes, the corresponding values ranged from 0·25 (retinol) to 0·90 (alcohol) in men (median: 0·60) and from 0·15 (retinol) to 0·74 (alcohol) in women (median: 0·53).Conclusions:Whereas it is difficult to accurately estimate absolute dietary intake values using the present DCD, it has acceptable ability to rank the intakes of many food groups and nutrients.

scholarly journals Accuracy of Parental Reporting of Preschoolers’ Dietary Intake Using an Online Self-Administered 24-h Recall

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 987 ◽  
Author(s):  
Angela Wallace ◽  
Sharon Kirkpatrick ◽  
Gerarda Darlington ◽  
Jess Haines
Keyword(s):  
Dietary Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Portion Size ◽  
Assessment Tools ◽  
Web Based ◽  
Plate Waste ◽  
Daycare Centre ◽  
Parental Reports ◽  
Eating Occasions

Parents are typically relied upon to report young children’s dietary intake. However, there has been limited research assessing the accuracy of such reports captured using novel dietary assessment tools. The purpose of the current study was to assess the validity of the web-based Automated Self-Administered 24-h Dietary Assessment Tool (ASA24-Canada) for capturing dietary intake among children aged two-five years (n = 40), using parental proxy reporting. The study was conducted in a daycare setting, allowing for standardization of foods and drinks offered and direct observation of intake. Parental-reported intake was compared to true intake for lunch and dinner, as well as an afternoon snack, on a single day. Each eating occasion, including plate waste, was unobtrusively documented. Parents were not present for lunch or the afternoon snack, but joined their children at the daycare centre for the dinner meal. The following day, parents reported their children’s intake from the previous 24-h period using ASA24-Canada. For the eating occasions assessed, parents reported exact or close matches for 79.2% (82.3% for lunch, 81.2% for the snack, and 77.4% for dinner) of the foods and beverages truly consumed by children. Estimates of intake for energy and macronutrients examined (carbohydrates, fat, and protein) based on parental reports were higher than those based on true (observed) intake. Our findings suggest that parents are able to report what their preschool children eat and drink relatively accurately. However, the accuracy of portion size estimates is low. Strategies to enhance portion size reporting are needed to improve parental proxy reporting.

Evaluating Mobile Apps For Dietary and Food Timing Assessment For Use in Research and Clinical Assessment (Preprint)

2021 ◽  
Author(s):  
Siena Gioia ◽  
Irma M Vlassac ◽  
Demsina Babazadeh ◽  
Noah L Fryou ◽  
Elizabeth Do ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Keyword Search ◽  
Mobile Apps ◽  
Dietary Assessment ◽  
Registered Dietitian ◽  
Food Record ◽  
User Privacy ◽  
Privacy Policies ◽  
Dietary Record ◽  
System Usability Scale

UNSTRUCTURED Abstract: Over the last decade, health apps have become an increasingly popular tool utilized by clinicians and researchers to track food consumption and exercise. However, as consumer apps have primarily focused on tracking dietary intake and exercise, many lack technological features to facilitate the capture of critical food timing details. To determine a viable app that recorded both dietary intake and food timing for use in our clinical study, we evaluated the timestamp data, usability, privacy policies, accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment. Apps were selected using a keyword search of related terms and the following apps were reviewed: Bitesnap, Cronometer, DiaryNutrition, DietDiary, FoodDiary, FoodView, Macros, MealLogger, myCircadianClock, MyFitnessPal, and MyPlate. Our primary goal was identifying apps that record food timestamps, which 8 of the reviewed apps did (73%). Of those, only 4/11 (36%) allowed users to edit the timestamps, an important feature. Next, we sought to evaluate the usability of the apps, using the System Usability Scale (SUS) across 2 days, with 82% of the apps receiving favorable scores for usability (9/11 apps). To enable use in research and clinic settings, the privacy policies of each app were systematically reviewed using common criteria with 1 Health Insurance Portability and Accountability Act (HIPAA) compliant app (Cronometer). Furthermore, protected health information is collected by 9/11 (81%) of the apps. Lastly, to assess the accuracy of nutrient estimates generated by these apps, we selected 4 sample food items and one researcher’s 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared to nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research (NDSR). Compared to the 3-day food record, the apps were found to consistently underestimate calories and macronutrients compared to NDSR. Overall, we find the Bitesnap app to provide flexible dietary and food timing functionality capable for research or clinical use with the majority of apps lacking in necessary food timing functionality or user privacy.

Web-based Food Behaviour Questionnaire: Validation with Grades Six to Eight Students

2009 ◽  
Vol 70 (4) ◽  
pp. 172-178 ◽  
Author(s):  
Rhona M. Hanning ◽  
Dawna Royall ◽  
Jenn E. Toews ◽  
Lindsay Blashill ◽  
Jessica Wegener ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Food Group ◽  
Nutrient Intakes ◽  
Web Based ◽  
Qualitative Feedback ◽  
Diet Recall ◽  
Ethnic Students ◽  
The Web

Purpose: The web-based Food Behaviour Questionnaire (FBQ) includes a 24-hour diet recall, a food frequency questionnaire, and questions addressing knowledge, attitudes, intentions, and food-related behaviours. The survey has been revised since it was developed and initially validated. The current study was designed to obtain qualitative feedback and to validate the FBQ diet recall. Methods: “Think aloud” techniques were used in cognitive interviews with dietitian experts (n=11) and grade six students (n=21).Multi-ethnic students (n=201) in grades six to eight at urban southern Ontario schools completed the FBQ and, subsequently, one-on-one diet recall interviews with trained dietitians. Food group and nutrient intakes were compared. Results: Users provided positive feedback on the FBQ. Suggestions included adding more foods, more photos for portion estimation, and online student feedback. Energy and nutrient intakes were positively correlated between FBQ and dietitian interviews, overall and by gender and grade (all p<0.001). Intraclass correlation coefficients were ≥0.5 for energy and macronutrients, although the web-based survey underestimated energy (-10.5%) and carbohydrate (-15.6%) intakes (p<0.05). Under-estimation of rice and pasta portions on the web accounted for 50% of this discrepancy. Conclusions: The FBQ is valid, relative to 24-hour recall interviews, for dietary assessment in diverse populations of Ontario children in grades six to eight.

scholarly journals Dietary assessment methods in epidemiological research: current state of the art and future prospects

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 926 ◽  
Author(s):  
Androniki Naska ◽  
Areti Lagiou ◽  
Pagona Lagiou
Keyword(s):  
Dietary Assessment ◽  
Smart Phone ◽  
Food Composition ◽  
Individual Variability ◽  
Assessment Methods ◽  
Nutrient Intakes ◽  
Dietary Biomarkers ◽  
Novel Technologies ◽  
Sources Of Error ◽  
Dietary Assessment Methods

Self-reported dietary intake is assessed by methods of real-time recording (food diaries and the duplicate portion method) and methods of recall (dietary histories, food frequency questionnaires, and 24-hour dietary recalls). Being less labor intensive, recall methods are more frequently employed in nutritional epidemiological investigations. However, sources of error, which include the participants’ inability to fully and accurately recall their intakes as well as limitations inherent in the food composition databases applied to convert the reported food consumption to energy and nutrient intakes, may limit the validity of the generated information. The use of dietary biomarkers is often recommended to overcome such errors and better capture intra-individual variability in intake; nevertheless, it has its own challenges. To address measurement error associated with dietary questionnaires, large epidemiological investigations often integrate sub-studies for the validation and calibration of the questionnaires and/or administer a combination of different assessment methods (e.g. administration of different questionnaires and assessment of biomarker levels). Recent advances in the omics field could enrich the list of reliable nutrition biomarkers, whereas new approaches employing web-based and smart phone applications could reduce respondent burden and, possibly, reporting bias. Novel technologies are increasingly integrated with traditional methods, but some sources of error still remain. In the analyses, food and nutrient intakes always need to be adjusted for total daily energy intake to account for errors related to reporting.

scholarly journals Effect of Manual Data Cleaning on Nutrient Intakes using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24)

2021 ◽  
Author(s):  
Yasmine Y Bouzid ◽  
Joanne E Arsenault ◽  
Ellen L Bonnel ◽  
Eduardo Cervantes ◽  
Annie Kan ◽  
...  
Keyword(s):  
Energy Intake ◽  
Assessment Tool ◽  
Data Cleaning ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Energy Requirements ◽  
Nutrient Intakes ◽  
Significant Difference ◽  
Before And After ◽  
Total Fat

Abstract Background Automated dietary assessment tools such as ASA24® are useful for collecting 24-hour recall data in large-scale studies. Modifications made during manual data cleaning may affect nutrient intakes. Objectives We evaluated the effects of modifications made during manual data cleaning on nutrients intakes of interest: energy, carbohydrate, total fat, protein, and fiber. Methods Differences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired t-tests. Chi-squared test was used to determine whether unsupervised recalls had more open-ended text responses that required modification than supervised recalls. We characterized food types of text response modifications. Correlations between predictive energy requirements, measured total energy expenditure (TEE), and mean energy intake from raw and modified data were examined. Results After excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in this analysis. We found significant differences before and after modifications for energy, carbohydrate, total fat, and protein intakes for all recalls (p &lt; 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p &lt; 0.02). There was not a significantly greater proportion of text responses requiring modification for home compared to supervised recalls (p = 0.271). Predicted energy requirements correlated highly with TEE. There was no significant difference in correlation of mean energy intake with TEE for modified compared to raw data. Mean intake for individual subjects was significantly different for energy, protein, and fat intakes following cleaning modifications (p &lt; 0.001). Conclusions Manual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.

scholarly journals Dietary Intake of Adult Residents in Luxembourg Taking Part in Two Cross-Sectional Studies—ORISCAV-LUX (2007–2008) and ORISCAV-LUX 2 (2016–2017)

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4382
Author(s):  
Farhad Vahid ◽  
Alex Brito ◽  
Gwenaëlle Le Coroller ◽  
Michel Vaillant ◽  
Hanen Samouda ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Saturated Fatty Acids ◽  
Food Group ◽  
High Energy ◽  
Population Based ◽  
Food Composition ◽  
Cross Sectional ◽  
Balanced Diet ◽  
Cross Sectional Studies ◽  
Total Fat

Background: A balanced diet is an important lifestyle component and has been associated with a reduced risk of chronic diseases. Objectives: To assess dietary intake of adult residents in Luxembourg taking part in two population-based cross-sectional studies (ORISCAV-LUX, 2007–2008 and ORISCAV-LUX 2, 2016–2017). Methods: Dietary intake of the study participants (1242 in 2007/08 and 1326 in 2016/17), 25–69 years old, were evaluated using food-frequency questionnaires (134 items in 2007/2008 and 174 items in 2016/2017) according to the French ANSES-CIQUAL food composition database. Both food-group- and nutrient-based analyses were conducted. Results: Dietary patterns in ORISCAV-LUX 2, 2016–2017, were characterized by an increase in the estimated marginal means (EMM) of the intake of energy, total fat, saturated fatty acids, alcohol, and decreased EMM of total carbohydrates, magnesium, and calcium compared to 2007/08. We also observed an increased EMM of the intake of protein-rich food items and ready-to-eat foods/fast foods, together with a decreased intake of grains, dairy products, and vegetables (all p-values <0.05, linear mixed models). The intake of most micronutrients was stable or slightly increased in ORISCAV-LUX 2 vs. ORISCAV-LUX, except for the drop in magnesium and calcium, and generally met recommendations, in particular, EFSA population reference intakes (PRI), except for vitamin D. Conclusions: Though most micronutrient recommendations were met, nutrient consumption in terms of high energy, total fat, and sodium, as well as low carbohydrates, were not aligned with recommendations for balanced eating.

scholarly journals Nutritional Assessment in Inflammatory Bowel Disease (IBD)—Development of the Groningen IBD Nutritional Questionnaires (GINQ)

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2739 ◽  
Author(s):  
Vera Peters ◽  
Behrooz Z Alizadeh ◽  
Jeanne HM de Vries ◽  
Gerard Dijkstra ◽  
Marjo JE Campmans-Kuijpers
Keyword(s):  
Inflammatory Bowel Disease ◽  
Dietary Intake ◽  
Bowel Disease ◽  
Dietary Habits ◽  
Nutritional Assessment ◽  
Dietary Assessment ◽  
Dietary Guidelines ◽  
Assessment Tools ◽  
Dietary Assessment Methods ◽  
Inflammatory Bowel

Diet plays a key role in the complex etiology and treatment of inflammatory bowel disease (IBD). Most existing nutritional assessment tools neglect intake of important foods consumed or omitted specifically by IBD patients or incorporate non-Western dietary habits, making the development of appropriate dietary guidelines for (Western) IBD patients difficult. Hence, we developed a food frequency questionnaire (FFQ), the Groningen IBD Nutritional Questionnaires (GINQ-FFQ); suitable to assess dietary intake in IBD patients. To develop the GINQ-FFQ, multiple steps were taken, including: identification of IBD specific foods, a literature search, and evaluation of current dietary assessment methods. Expert views were collected and in collaboration with Wageningen University, division of Human Nutrition and Health, this semi-quantitative FFQ was developed using standard methods to obtain a valid questionnaire. Next, the GINQ-FFQ was digitized into a secure web-based environment which also embeds additional nutritional and IBD related questions. The GINQ-FFQ is an online self-administered FFQ evaluating dietary intake, taking the previous month as a reference period. It consists of 121 questions on 218 food items. This paper describes the design process of the GINQ-FFQ which assesses dietary intake especially (but not exclusively) in IBD patients. Validation of the GINQ-FFQ is needed and planned in the near future.

scholarly journals Development of an Online Dietary Recall Tool Suitable for Use Among Ethnic Groups Living in Ireland: A Study Protocol

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 104-104
Author(s):  
Grace Bennett ◽  
Shuhua Yang ◽  
Laura Bardon ◽  
Eileen Gibney
Keyword(s):  
Dietary Assessment ◽  
Accurate Method ◽  
Food Composition ◽  
Assessment Tools ◽  
Dietary Intakes ◽  
Diverse Range ◽  
Population Groups ◽  
Horizon 2020 ◽  
Dietary Recall ◽  
Research And Innovation

Abstract Objectives To develop Foodbook24, an online dietary recall tool, for use among various population groups in Ireland and compare its use to traditional dietary recall methods Methods The existing food list within Foodbook24 was expanded to include foods frequently consumed by Polish and Brazilian adults. Common foods consumed by the Irish population that were not included in the original food list were also added. The composition of foods per 100g, portion sizes and food portion images were collated for all additional foods. These data were retrieved from available national food composition and food consumption databases and other published sources. To test the completeness of the expanded food list n = 20 participants from each cohort (Irish, Polish, Brazilian) were recruited. Participants completed a personal reflection of their diet using a Pinterest Board of 30–40 images to represent foods they consume often, accompanied by an audio clip explaining food choices, eating patterns and how/where they prepare and serve their meals. Later participants completed two 24 hour dietary recalls using the modified Foodbook24 and an evaluation questionnaire to assess their likeability of the tool. A second cohort of n = 60 from each group were recruited to complete 24 hour dietary recalls using traditional interviewer led methods and Foodbook24, in a randomised manner, to test the comparability of food and nutrient intakes from each method Results A total of 136 additional Irish, 26 Polish and 34 Brazilian foods were added to Foodbook24. Examination of participants’ likeability and compatibility with the tool is ongoing. Food items commonly mentioned in the Pinterest study that are missing from the updated food list will be added and preliminary analysis on the 24 hour dietary recalls will be completed. Intakes recorded via interviewer led recalls and Foodbook24 will be compared and significant differences analysed to assess the compatibility of the updated Foodbook24 tool among populations in Ireland Conclusions Food choice varies between population groups. The use of novel dietary assessment tools, such as Foodbook24, should be assessed among a diverse range of groups before it is deemed an accurate method of examining dietary intakes of an entire population. Funding Sources Food Nutrition Security Cloud has received funding from the EU's Horizon 2020 Research and Innovation programme.

scholarly journals Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research

10.2196/15619 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15619 ◽  
Author(s):  
Wael Khazen ◽  
Jean-François Jeanne ◽  
Laëtitia Demaretz ◽  
Florent Schäfer ◽  
Guy Fagherazzi
Keyword(s):  
Medical Research ◽  
Assessment Tool ◽  
Mobile Apps ◽  
Dietary Assessment ◽  
Ease Of Use ◽  
Assessment Tools ◽  
Dietary Behaviors ◽  
Mobile Technologies ◽  
Eating Occasions ◽  
Dietary Data

Food intake and usual dietary intake are among the key determinants of health to be assessed in medical research and important confounding factors to be accounted for in clinical studies. Although various methods are available for gathering dietary data, those based on innovative technologies are particularly promising. With combined cost-effectiveness and ease of use, it is safe to assume that mobile technologies can now optimize tracking of eating occasions and dietary behaviors. Yet, choosing a dietary assessment tool that meets research objectives and data quality standards remains challenging. In this paper, we describe the purposes of collecting dietary data in medical research and outline the main considerations for using mobile dietary assessment tools based on participant and researcher expectations.

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