A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labelled water

2019 ◽  
Vol 74 (5) ◽  
pp. 669-681
Author(s):  
T. Burrows ◽  
S. Goldman ◽  
M. Rollo
Keyword(s):  
Systematic Review ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Doubly Labelled Water ◽  
Dietary Assessment Methods

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 The validity of technology-based dietary assessment methods in childhood and adolescence: a systematic review

2020 ◽  
pp. 1-16
Author(s):  
Matina Kouvari ◽  
Eirini Mamalaki ◽  
Eirini Bathrellou ◽  
Dimitrios Poulimeneas ◽  
Mary Yannakoulia ◽  
...  
Keyword(s):  
Systematic Review ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Childhood And Adolescence ◽  
Dietary Assessment Methods

Validity of image-based dietary assessment methods: A systematic review and meta-analysis

2020 ◽  
Vol 39 (10) ◽  
pp. 2945-2959
Author(s):  
Dang Khanh Ngan Ho ◽  
Sung-Hui Tseng ◽  
Meng-Chieh Wu ◽  
Chun-Kuang Shih ◽  
Anif Prameswari Atika ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Dietary Assessment Methods

scholarly journals Validity of Dietary Assessment in Athletes: A Systematic Review

2017 ◽  
Author(s):  
Louise Capling ◽  
Kathryn L. Beck ◽  
Janelle A. Gifford ◽  
Gary Slater ◽  
Victoria M. Flood ◽  
...  
Keyword(s):  
Systematic Review ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Effect Size ◽  
Meta Analysis ◽  
Dietary Assessment ◽  
Reference Method ◽  
Assessment Methods ◽  
Food Record ◽  
Dietary Assessment Methods

Dietary assessment methods recognized as appropriate for the general population are usually applied in a similar manner to athletes, despite knowledge that sport-specific factors can complicate assessment and impact accuracy in unique ways. As dietary assessment methods are used extensively within the field of sports nutrition, there is concern the validity of methodologies have not undergone more rigorous evaluation in this unique population sub-group. The purpose was to systematically review studies comparing two or more methods of dietary assessment, including dietary intake measured against biomarkers or reference measures of energy expenditure, in athletes. Six electronic databases were searched for English-language, full-text articles published from January 1980 until June 2016. The search strategy combined the following keywords: diet, nutrition assessment, athlete and validity; where the following outcomes are reported but not limited to: energy intake, macro and/or micronutrient intake, food intake, nutritional adequacy, diet quality, or nutritional status. Meta-analysis was performed on studies with sufficient methodological similarity, with between-group standardized mean differences (or effect size) and 95 % confidence intervals (CI) calculated. Of the 1624 studies identified, 18 were eligible for inclusion. Studies comparing self-reported energy intake (EI) to energy expenditure assessed via doubly labelled water were grouped for comparison (n=11) and demonstrated mean EI was under-estimated by 19 % (- 2793 ± 1134 kJ/d). Meta-analysis revealed a large pooled effect size of - 1.006 (95% CI: -1.3 to -0.7; p<0.001). The remaining studies (n=7) compared a new dietary tool or instrument to a reference method(s) (e.g. food record, 24-h dietary recall, biomarker) as part of a validation study. This systematic review revealed there are limited robust studies evaluating dietary assessment methods in athletes. Existing literature demonstrates substantial variability between methods, with under and misreporting of intake frequently observed. There is a clear need for careful validation of dietary assessment methods, including emerging technical innovations, among athlete populations.

scholarly journals Assessment of dietary nitrate intake in humans: a systematic review

2018 ◽  
Vol 108 (4) ◽  
pp. 878-888 ◽  
Author(s):  
Abrar M Babateen ◽  
Gianfranco Fornelli ◽  
Lorenzo M Donini ◽  
John C Mathers ◽  
Mario Siervo
Keyword(s):  
Systematic Review ◽  
Disease Risk ◽  
Dietary Assessment ◽  
Daily Intake ◽  
Food Composition ◽  
Assessment Methods ◽  
Nitrate Content ◽  
Dietary Nitrate ◽  
Dietary Assessment Methods ◽  
Nitrate Intake

Abstract Background The nitrate content of foods and water is highly variable, which has implications for the compilation of food-composition databases and assessment of dietary nitrate intake. Objective A systematic review was conducted to ascertain the dietary assessment methods used and to provide estimates of daily nitrate intake in humans. Design Relevant articles were identified by a systematic search of 3 electronic databases (PubMed, Web of Science, and Embase) from inception until February 2018. Observational studies conducted in adult populations and reporting information on dietary assessment methods and daily nitrate intake were included. Ecological analyses were conducted to explore the association of nitrate intake with indexes of economic development [Gross Domestic Product (GDP) and KOF Index of Globalization]. Results A total of 55 articles were included. Forty-two studies investigated associations between nitrate intake and disease risk; 36 (87%) of these studies examined the association between nitrate intake and cancer risk, whereas only 6 studies explored the association of nitrate intake with the risk of diabetes, glaucoma, kidney failure, hypertension, and atherosclerotic vascular disease. The majority of studies used food-frequency questionnaires to assess nitrate intake (n = 43). The median daily nitrate intakes in healthy and patient populations were 108 and 110 mg/d, respectively. We found a significant inverse correlation of nitrate intake with GDP (r = −0.46, P < 0.001) and KOF index (r = −0.31, P = 0.002). Conclusions The median estimated daily nitrate intakes by healthy and patient populations were similar, and these values were below the safe upper intake of daily intake (3.7 mg nitrate ion/kg body weight). However, there is considerable heterogeneity in the application of food-composition tables, which may have implications for the accuracy of estimated daily nitrate intake. The association between nitrate intake and risk of cardiometabolic diseases needs further investigation. The protocol for this systematic review has been registered in the PROSPERO database (https://www.crd.york.ac.uk/prospero; CRD number: 42017060354).

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