Validating dietary assessment tools with energy expenditure measurement methods: Is this accurate?

2022 ◽  
Author(s):  
Jalal Hejazi
Keyword(s):  
Energy Expenditure ◽  
Assessment Tool ◽  
Complete Solution ◽  
Dietary Assessment ◽  
Energy Balance Equation ◽  
Measurement Methods ◽  
Metabolizable Energy ◽  
Assessment Tools ◽  
Dietary Intakes ◽  
Nutritional Studies

Abstract. Having an accurate dietary assessment tool is a necessity for most nutritional studies. As a result, many validation studies have been carried out to assess the validity of commonly used dietary assessment tools. Since based on the energy balance equation, among individuals with a stable weight, Energy Intake (EI) is equal to Energy Expenditure (EE) and there are precise methods for measurement of EE (e.g. doubly labeled water method), numerous studies have used this technique for validating dietary assessment tools. If there was a discrepancy between measured EI and EE, the researchers have concluded that self-reported dietary assessment tools are not valid or participants misreport their dietary intakes. However, the calculation of EI with common dietary assessment tools such as food frequency questionnaires (FFQs), 24-hour dietary recalls, or weighed food records, is based on fixed factors that were introduced by Atwater and the accuracy of these factors are under question. Moreover, the amount of energy absorption, and utilization from a diet, depends on various factors and there are considerable interindividual differences in this regard, for example in gut microbiota composition. As a result, the EI which is calculated using dietary assessment tools is likely not representative of real metabolizable energy which is equal to EE in individuals with stable weight, thus validating dietary assessment tools with EE measurement methods may not be accurate. We aim to address this issue briefly and propose a feasible elucidation, albeit not a complete solution.

scholarly journals Evaluation of Dietary Assessment Tools Used in Bariatric Population

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2250
Author(s):  
Marianne Legault ◽  
Vicky Leblanc ◽  
Geneviève B. Marchand ◽  
Sylvain Iceta ◽  
Virginie Drolet-Labelle ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Dietary Intakes ◽  
Health Issues ◽  
Loss Assessment ◽  
Bariatric Patients ◽  
Per Se ◽  
Nutritional Studies

Severe obesity is associated with major health issues and bariatric surgery is still the only treatment to offer significant and durable weight loss. Assessment of dietary intakes is an important component of the bariatric surgery process. Objective: To document the dietary assessment tools that have been used with patients targeted for bariatric surgery and patients who had bariatric surgery and explore the extent to which these tools have been validated. Methods: A literature search was conducted to identify studies that used a dietary assessment tool with patients targeted for bariatric surgery or who had bariatric surgery. Results: 108 studies were included. Among all studies included, 27 used a dietary assessment tool that had been validated either as part of the study per se (n = 11) or in a previous study (n = 16). Every tool validated per se in the cited studies was validated among a bariatric population, while none of the tools validated in previous studies were validated in this population. Conclusion: Few studies in bariatric populations used a dietary assessment tool that had been validated in this population. Additional studies are needed to develop valid and robust dietary assessment tools to improve the quality of nutritional studies among bariatric patients.

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 < 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p < 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 < 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 Meal-based intake assessment tool: relative validity when determining dietary intake of Fe and Zn and selected absorption modifiers in UK men

2005 ◽  
Vol 93 (3) ◽  
pp. 403-416 ◽  
Author(s):  
Anne-Louise M. Heath ◽  
Mark A. Roe ◽  
Sarah L. Oyston ◽  
Susan J. Fairweather-Tait
Keyword(s):  
Vitamin C ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Black Tea ◽  
Molar Ratio ◽  
Dietary Intakes ◽  
Relative Validity ◽  
Intake Assessment ◽  
Diet Records ◽  
Diet Record

A computer-based dietary assessment tool, the meal-based intake assessment tool (MBIAT), is described. In the current study, dietary intakes of Fe and Zn fractions (total Fe, non-haem Fe, haem Fe, meat Fe, total Zn) and dietary components that influence Fe and Zn absorption (vitamin C, phytate, Ca, grams of meat/fish/poultry, black tea equivalents, phytate:Zn molar ratio) were assessed. The relative validity of the MBIAT was determined in forty-eight UK men aged 40 years and over by comparing its results with those from weighed diet records collected over 12 d. There was good agreement between the MBIAT and the weighed diet records for median intakes of total, non-haem, haem and meat Fe, Zn, vitamin C, phytate, grams of meat/fish/poultry and phytate:Zn molar ratio. Correlations between the two methods ranged from 0·32 (for Ca) to 0·80 (for haem Fe), with 0·76 for total Fe and 0·75 for Zn. The percentage of participants classified by the MBIAT into the same/opposite weighed diet record quartiles ranged from 56/0 for Fe and 60/0 for Zn to 33/10 for Ca. The questionnaire also showed an acceptable level of agreement between repeat administrations (e.g. a correlation for total Fe of 0·74). In conclusion, the MBIAT is appropriate for assessing group dietary intakes of total Fe and Zn and their absorption modifiers in UK men aged 40 years and over.

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.

scholarly journals P794 Nutritional assessment in inflammatory bowel disease (IBD): development of the Groningen IBD Nutritional Questionnaires (GINQ)

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S624-S625
Author(s):  
V Peters ◽  
B Alizadeh ◽  
J de Vries ◽  
G Dijkstra ◽  
M Campmans-Kuijpers
Keyword(s):  
Inflammatory Bowel Disease ◽  
Dietary Intake ◽  
Bowel Disease ◽  
Dietary Habits ◽  
Nutritional Assessment ◽  
Dietary Assessment ◽  
Dietary Guidelines ◽  
Assessment Tools ◽  
Dietary Intakes ◽  
Inflammatory Bowel

Abstract Background Diet plays a key role in the complex aetiology and treatment of inflammatory bowel disease (IBD). Most existing nutritional assessment tools neglect intakes of important foods consumed or omitted specifically by IBD patients or incorporate non-Western dietary habits, making 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. Methods To develop the GINQ-FFQ multiple steps (Figure 1) were taken; identification of IBD specific foods, 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 validate questionnaire. Next, the GINQ-FFQ was digitalised into a secure web-based environment which also embeds additional nutritional and IBD-related questions. Results The GINQ-FFQ is an online self-administered FFQ evaluating dietary intake over the past month as a proxy of habitual intake of the previous six months. The GINQ-FFQ consists of 121 questions on 218 food items. It takes about 45 min to fill out the GINQ-FFQ. Conclusion This paper describes the design process of the GINQ-FFQ which is newly developed to assess dietary intakes especially (but not exclusively) in IBD patients.

scholarly journals Development of a Sleep Assessment Module in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool: New Research Opportunities

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 474-474
Author(s):  
Marissa Shams-White ◽  
Lauren O'Connor ◽  
Sydney O'Connor ◽  
Amy Miller ◽  
Beth Mittl ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Sleep Diary ◽  
Plain Language ◽  
Wake Time ◽  
Time In Bed ◽  
Sleep Assessment ◽  
The Impact

Abstract Objectives To develop a sleep assessment module in ASA24 to capture self-reported sleep behavior as an optional enhancement to the ASA24 Dietary Assessment Tool for adults. Methods Multiple self-reported sleep assessment tools were considered in module development, including the National Sleep Foundation Sleep Diary, the Activities Completed over Time in 24-hours (ACT24), Munich Chronotype Questionnaire (MCTQ), and the Consensus Sleep Diary (CSD) Core. Priority was given to minimal need for adaptation, questionnaire length to reduce survey fatigue, incorporating plain language, and optimizing for implementation in 24 hour recalls (24HR) and food records. Researchers with expertise in meal timing and sleep were consulted for feedback on content and utility and programmers with expertise in survey design were consulted on implementation. Lastly, the online data collection process and ASA24 System's output data files were tested for accuracy. Results The ASA24 sleep module contains ten questions and can be administered immediately following dietary assessment. Eight CSD Core questions were adapted to assess time in bed, time trying to go to sleep, and length of time to fall asleep; number and duration of nocturnal awakenings; wake time and time out of bed for the day; and perceived sleep quality. Two questions were added to capture sleep quality and comparability of reported sleep to a usual night's sleep. For users completing a 24HR, the module includes two questions on time of awakening and sleep quality immediately preceding the first reported meal; all 10 sleep questions are asked for the sleep period immediately following the last meal (i.e., 12 questions total), allowing for assessment of the impact of diet on sleep. In contrast, a food record is completed on the same day users consume the food, and thus all sleep questions address the sleep window prior to the first meal; a single record can be used to assess the impact of sleep on diet. Consecutive days of records can also be collected to capture sleep pre- and post-eating windows. Conclusions The ASA24 sleep module can assess sleep timing and quality and will be available in Fall 2021. Researchers can soon leverage this novel resource to examine the association of sleep with timing of eating and other chrononutrition variables. Funding Sources This project has been funded by the NIH.

scholarly journals Use of a Web-Based Dietary Assessment Tool (RiksmatenFlex) in Swedish Adolescents: Comparison and Validation Study (Preprint)

2018 ◽  
Author(s):  
Anna Karin Lindroos ◽  
Jessica Petrelius Sipinen ◽  
Cecilia Axelsson ◽  
Gisela Nyberg ◽  
Rikard Landberg ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Dietary Intake ◽  
Correlation Coefficient ◽  
Energy Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Fruit And Vegetables ◽  
Spearman Correlation ◽  
Whole Grain ◽  
Web Based

BACKGROUND A Web-based dietary assessment tool—RiksmatenFlex—was developed for the national dietary survey of adolescents in Sweden. OBJECTIVE This study aimed to describe the Web-based method RiksmatenFlex and to test the validity of the reported dietary intake by comparing dietary intake with 24-hour dietary recalls (recall interviews), estimated energy expenditure, and biomarkers. METHODS Adolescents aged 11-12, 14-15, and 17-18 years were recruited through schools. In total, 78 students had complete dietary information and were included in the study. Diet was reported a few weeks apart with either RiksmatenFlexDiet (the day before and a random later day) or recall interviews (face-to-face, a random day later by phone) in a cross-over, randomized design. At a school visit, weight and height were measured and blood samples were drawn for biomarker analyses. Students wore an accelerometer for 7 days for physical activity measurements. Dietary intake captured by both dietary methods was compared, and energy intake captured by both methods was compared with the accelerometer-estimated energy expenditure (EEest). Intake of whole grain wheat and rye and fruit and vegetables by both methods was compared with alkylresorcinol and carotenoid concentrations in plasma, respectively. RESULTS The mean of the reported energy intake was 8.92 (SD 2.77) MJ by RiksmatenFlexDiet and 8.04 (SD 2.67) MJ by the recall interviews (<italic>P</italic>=.01). Intake of fruit and vegetables was 224 (169) g and 227 (150) g, and whole grain wheat and rye intake was 12.4 (SD 13.2) g and 12.0 (SD 13.1) g, respectively; the intakes of fruit and vegetables as well as whole grain wheat and rye did not differ between methods. Intraclass correlation coefficients ranged from 0.57 for protein and carbohydrates to 0.23 for vegetables. Energy intake by RiksmatenFlexDiet was overreported by 8% (<italic>P</italic>=.03) but not by the recall interviews (<italic>P</italic>=.53) compared with EEest. The Spearman correlation coefficient between reported energy intake and EEest was 0.34 (<italic>P</italic>=.008) for RiksmatenFlexDiet and 0.16 (<italic>P</italic>=.21) for the recall interviews. Spearman correlation coefficient between whole grain wheat and rye and plasma total alkylresorcinol homologs was 0.36 (<italic>P</italic>=.002) for RiksmatenFlexDiet and 0.29 (<italic>P</italic>=.02) for the recall interviews. Spearman correlations between intake of fruit and vegetables and plasma carotenoids were weak for both dietary tools. The strongest correlations were observed between fruit and vegetable intake and lutein/zeaxanthin for RiksmatenFlexDiet (0.46; <italic>P</italic>&lt;.001) and for recall interviews (0.28; <italic>P</italic>=.02). CONCLUSIONS RiksmatenFlexDiet provides information on energy, fruit, vegetables, and whole grain wheat and rye intake, which is comparable with intake obtained from recall interviews in Swedish adolescents. The results are promising for cost-effective dietary data collection in upcoming national dietary surveys and other studies in Sweden. Future research should focus on how, and if, new technological solutions could reduce dietary reporting biases.

scholarly journals Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation

Nutrients ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 55 ◽  
Author(s):  
Alison Eldridge ◽  
Carmen Piernas ◽  
Anne-Kathrin Illner ◽  
Michael Gibney ◽  
Mirjana Gurinović ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Task Force ◽  
New Technology ◽  
Dietary Assessment ◽  
Quality Standards ◽  
Assessment Method ◽  
Assessment Tools ◽  
Dietary Intakes ◽  
Food Composition Tables ◽  
General Quality

Background: New technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications. Methods: A comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes. Results: Most of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology. Conclusions: Dietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.

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