scholarly journals Validity of Absolute Intake and Nutrient Density of Protein, Potassium, and Sodium Assessed by Various Dietary Assessment Methods: An Exploratory Study

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 109
Author(s):  
Laura Trijsburg ◽  
Anouk Geelen ◽  
Paul J.M. Hulshof ◽  
Pieter van’t Veer ◽  
Hendriek C. Boshuizen ◽  
...  
Keyword(s):  
Total Energy ◽  
Measurement Errors ◽  
Sodium Intake ◽  
Dietary Assessment ◽  
Dietary Exposure ◽  
Assessment Methods ◽  
Doubly Labelled Water ◽  
Web Based ◽  
Dietary Assessment Methods ◽  
Nutrient Density

It is suggested that nutrient densities are less affected by measurement errors than absolute intake estimates of dietary exposure. We compared the validity of absolute intakes and densities of protein (kJ from protein/total energy (kJ)), potassium, and sodium (potassium or sodium (in mg)/total energy (kJ)) assessed by different dietary assessment methods. For 69 Dutch subjects, two duplicate portions (DPs), five to fifteen 24-h dietary recalls (24 hRs, telephone-based and web-based) and two food frequency questionnaires (FFQs) were collected and compared to duplicate urinary biomarkers and one or two doubly labelled water measurements. Multivariate measurement error models were used to estimate validity coefficients (VCs) and attenuation factors (AFs). This research showed that group bias diminished for protein and sodium densities assessed by all methods as compared to the respective absolute intakes, but not for those of potassium. However, the VCs and AFs for the nutrient densities did not improve compared to absolute intakes for all four methods; except for the AF of sodium density (0.71) or the FFQ which was better than that of the absolute sodium intake (0.51). Thus, using nutrient densities rather than absolute intakes does not necessarily improve the performance of the DP, FFQ, or 24 hR.

scholarly journals BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods

2016 ◽  
Vol 20 (4) ◽  
pp. 598-607 ◽  
Author(s):  
Laura Trijsburg ◽  
Anouk Geelen ◽  
Peter CH Hollman ◽  
Paul JM Hulshof ◽  
Edith JM Feskens ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Dietary Intake ◽  
Dietary Assessment ◽  
Linear Regression Analysis ◽  
Assessment Methods ◽  
Self Report ◽  
Doubly Labelled Water ◽  
Dietary Assessment Methods ◽  
Duplicate Portion

AbstractObjectiveAs misreporting, mostly under-reporting, of dietary intake is a generally known problem in nutritional research, we aimed to analyse the association between selected determinants and the extent of misreporting by the duplicate portion method (DP), 24 h recall (24hR) and FFQ by linear regression analysis using the biomarker values as unbiased estimates.DesignFor each individual, two DP, two 24hR, two FFQ and two 24 h urinary biomarkers were collected within 1·5 years. Also, for sixty-nine individuals one or two doubly labelled water measurements were obtained. The associations of basic determinants (BMI, gender, age and level of education) with misreporting of energy, protein and K intake of the DP, 24hR and FFQ were evaluated using linear regression analysis. Additionally, associations between other determinants, such as physical activity and smoking habits, and misreporting were investigated.SettingThe Netherlands.SubjectsOne hundred and ninety-seven individuals aged 20–70 years.ResultsHigher BMI was associated with under-reporting of dietary intake assessed by the different dietary assessment methods for energy, protein and K, except for K by DP. Men tended to under-report protein by the DP, FFQ and 24hR, and persons of older age under-reported K but only by the 24hR and FFQ. When adjusted for the basic determinants, the other determinants did not show a consistent association with misreporting of energy or nutrients and by the different dietary assessment methods.ConclusionsAs BMI was the only consistent determinant of misreporting, we conclude that BMI should always be taken into account when assessing and correcting dietary intake.

scholarly journals Role of metabolomics in identification of biomarkers related to food intake

2019 ◽  
Vol 78 (02) ◽  
pp. 189-196 ◽  
Author(s):  
Cassandra Collins ◽  
Aoife E. McNamara ◽  
Lorraine Brennan
Keyword(s):  
Food Intake ◽  
Measurement Errors ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Cross Sectional ◽  
Dietary Biomarkers ◽  
Dietary Assessment Methods ◽  
Complementary Approach ◽  
Disease Causation ◽  
Experimental Approaches

Dietary assessment methods including FFQ and food diaries are associated with many measurement errors including energy under-reporting and incorrect estimation of portion sizes. Such errors can lead to inconsistent results especially when investigating the relationship between food intake and disease causation. To improve the classification of a person's dietary intake and therefore clarify proposed links between diet and disease, reliable and accurate dietary assessment methods are essential. Dietary biomarkers have emerged as a complementary approach to the traditional methods, and in recent years, metabolomics has developed as a key technology for the identification of new dietary biomarkers. The objective of this review is to give an overview of the approaches used for the identification of biomarkers and potential use of the biomarkers. Over the years, a number of strategies have emerged for the discovery of dietary biomarkers including acute and medium term interventions and cross-sectional/cohort study approaches. Examples of the different approaches will be presented. Concomitant with the focus on single biomarkers of specific foods, there is an interest in the development of biomarker signatures for the identification of dietary patterns. In the present review, we present an overview of the techniques used in food intake biomarker discover, including the experimental approaches used and challenges faced in the field. While significant progress has been achieved in the field of dietary biomarkers in recent years, a number of challenges remain. Addressing these challenges will be key to ensure success in implementing use of dietary biomarkers.

scholarly journals Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population

2016 ◽  
Vol 5 ◽  
Author(s):  
Sanna Nybacka ◽  
Heléne Bertéus Forslund ◽  
Elisabet Wirfält ◽  
Ingrid Larsson ◽  
Ulrika Ericson ◽  
...  
Keyword(s):  
Energy Intake ◽  
Large Scale ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Future Research ◽  
Food Record ◽  
Frequency Method ◽  
Doubly Labelled Water ◽  
Web Based ◽  
Food Frequency

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd  2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.

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 A Novel Food Record App for Dietary Assessments Among Older Adults With Type 2 Diabetes: Development and Usability Study

10.2196/14760 ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. e14760
Author(s):  
Hyunggu Jung ◽  
George Demiris ◽  
Peter Tarczy-Hornoch ◽  
Mark Zachry
Keyword(s):  
Type 2 Diabetes ◽  
Older Adults ◽  
Qualitative Data ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Smartphone App ◽  
Food Record ◽  
Food Items ◽  
Dietary Assessment Methods

Background More than 1 in 4 people in the United States aged 65 years and older have type 2 diabetes. For diabetes care, medical nutrition therapy is recommended as a clinically effective intervention. Previous researchers have developed and validated dietary assessment methods using images of food items to improve the accuracy of self-reporting over traditional methods. Nevertheless, little is known about the usability of image-assisted dietary assessment methods for older adults with diabetes. Objective The aims of this study were (1) to create a food record app for dietary assessments (FRADA) that would support image-assisted dietary assessments, and (2) to evaluate the usability of FRADA for older adults with diabetes. Methods For the development of FRADA, we identified design principles that address the needs of older adults and implemented three fundamental tasks required for image-assisted dietary assessments: capturing, viewing, and transmitting images of food based on the design principles. For the usability assessment of FRADA, older adults aged 65 to 80 years (11 females and 3 males) were assigned to interact with FRADA in a lab-based setting. Participants’ opinions of FRADA and its usability were determined by a follow-up survey and interview. As an evaluation indicator of usability, the responses to the survey, including an after-scenario questionnaire, were analyzed. Qualitative data from the interviews confirmed the responses to the survey. Results We developed a smartphone app that enables older adults with diabetes to capture, view, and transmit images of food items they consumed. The findings of this study showed that FRADA and its instructions for capturing, viewing, and transmitting images of food items were usable for older adults with diabetes. The survey showed that participants found FRADA easy to use and would consider using FRADA daily. The analysis of the qualitative data from interviews revealed multiple categories, such as the usability of FRADA, potential benefits of using FRADA, potential features to be added to FRADA, and concerns of older adults with diabetes regarding interactions with FRADA. Conclusions This study demonstrates in a lab-based setting not only the usability of FRADA by older adults with diabetes but also potential opportunities using FRADA in real-world settings. The findings suggest implications for creating a smartphone app for an image-assisted dietary assessment. Future work still remains to evaluate the feasibility and validity of FRADA with multiple stakeholders, including older adults with diabetes and dietitians.

scholarly journals Development and Usability Assessment of a Food Record App for Dietary Assessments among Older Adults with Type 2 Diabetes (Preprint)

2019 ◽  
Author(s):  
Hyunggu Jung ◽  
George Demiris ◽  
Peter Tarczy-Hornoch ◽  
Mark Zachry
Keyword(s):  
Older Adults ◽  
Qualitative Data ◽  
Dietary Assessment ◽  
Smartphone Application ◽  
Design Principles ◽  
Assessment Methods ◽  
Food Record ◽  
Food Items ◽  
Usability Assessment ◽  
Dietary Assessment Methods

BACKGROUND More than one in four people in the United States aged 65 years and older have diabetes. For diabetes care, medical nutrition therapy (MNT) is recommended as a clinically effective intervention. Prior researchers have developed and validated dietary assessment methods using images of food items for improving the accuracy of self-reporting over traditional methods. Nevertheless, little is known about the usability of image-assisted dietary assessment methods for older adults with diabetes. OBJECTIVE The aims of this study were: a) to create a food record app for dietary assessments (FRADA) that would support image-assisted dietary assessments, and b) to evaluate the usability of FRADA for older adults with diabetes. METHODS For the development of FRADA, we identified design principles that address the needs of older adults and implemented three fundamental tasks required for image-assisted dietary assessments: capturing, viewing, and transmitting images of food based on the design principles. For the usability assessment of FRADA, older adults aged 65 to 80 (11 females and 3 males) were assigned to interact with FRADA in a lab-based setting. Participants’ opinions of FRADA and its usability were determined by a follow-up survey and interview. As an evaluation indicator of usability, the responses to the survey including an After-Scenario Questionnaire were analyzed. Qualitative data from the interviews confirmed the responses to the survey. RESULTS We developed a smartphone application that enables older adults with diabetes to capture, view, and transmit images of food items they consumed. The findings of this study showed that FRADA and its instructions for capturing, viewing, and transmitting images of food items were usable for older adults with diabetes. The survey showed that FRADA was easy to use, and study participants would consider using FRADA daily. The analysis of the qualitative data from interviews revealed multiple themes, such as the usability of FRADA, potential benefits and features of FRADA, and concerns of older adults with diabetes when interacting with FRADA. CONCLUSIONS This study demonstrates in a lab-based setting, not only the usability of FRADA with older adults who have diabetes, but it also demonstrates potential opportunities using FRADA in real-life settings. The findings suggest implications for creating a smartphone application for an image-assisted dietary assessment. Future work still remains to evaluate the feasibility and validity of FRADA with multiple stakeholders involving older adults with diabetes and dietitians.

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