Comparison of approaches to correct intake–health associations for FFQ measurement error using a duplicate recovery biomarker and a duplicate 24 h dietary recall as reference method

Geelen, Anouk; Souverein, Olga W.; Busstra, Maria C.; Vries, J.H.M. de; Veer, P. van ‘t

doi:10.1017/s1368980014000032

Cited by 18 publications

(28 citation statements)

References 23 publications

(51 reference statements)

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“…Using 24hR may not remove all measurement errors of FFQ, but its use in addition Table 5. Pearson's correlation coefficients and cross-classification of reported intakes of (fatty) fish, fruits and vegetables in the FFQ-NL 1.0 and the related blood concentration biomarkers (Correlation coefficients and 95 % confidence intervals) to an FFQ will improve diet-disease associations (4,35) . Furthermore, the use of multiple 24hR is recommended above a single recall (29,30) .…”

Section: Discussionmentioning

confidence: 99%

A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults

et al. 2016

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A standardised, national, 160-item FFQ, the FFQ-NL 1.0, was recently developed for Dutch epidemiological studies. The objective was to validate the FFQ-NL 1.0 against multiple 24-h recalls (24hR) and recovery and concentration biomarkers. The FFQ-NL 1.0 was filled out by 383 participants (25-69 years) from the Nutrition Questionnaires plus study. For each participant, one to two urinary and blood samples and one to five (mean 2·7) telephone-based 24hR were available. Group-level bias, correlation coefficients, attenuation factors, de-attenuated correlation coefficients and ranking agreement were assessed. Compared with the 24hR, the FFQ-NL 1.0 estimated the intake of energy and macronutrients well. However, it underestimated intakes of SFA and trans-fatty acids and alcohol and overestimated intakes of most vitamins by >5 %. The median correlation coefficient was 0·39 for energy and macronutrients, 0·30 for micronutrients and 0·30 for food groups. The FFQ underestimated protein intake by an average of 16 % and K by 5 %, relative to their urinary recovery biomarkers. Attenuation factors were 0·44 and 0·46 for protein and K, respectively. Correlation coefficients were 0·43-0·47 between (fatty) fish intake and plasma EPA and DHA and 0·24-0·43 between fruit and vegetable intakes and plasma carotenoids. In conclusion, the overall validity of the newly developed FFQ-NL 1.0 was acceptable to good. The FFQ-NL 1.0 is well suited for future use within Dutch cohort studies among adults.

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Section: Discussionmentioning

confidence: 99%

A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults

et al. 2016

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“…To evaluate the C-FFQ, recommendations [21] and other similar studies were considered, and the C-FFQ was compared with the validated EFSA-Q, which contains several common elements, and with a 24HDR [12,21,[25][26][27]. Both approximations have been widely used as reference methods for developing new FFQ.…”

Section: Discussionmentioning

confidence: 99%

A new food frequency questionnaire to assess chocolate and cocoa consumption

et al. 2016

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Abstract:Objective: Cocoa has been highlighted as a food with potential benefits to human health because its content in polyphenols. However, few studies show the contribution of cocoa and chocolate products in polyphenol intake. The aim of this work was to develop a food frequency questionnaire (FFQ) for evaluating the intake of food products containing cocoa (C-FFQ).Methods: A sample of 50 university students was recruited to complete the 90-item questionnaire, a validated questionnaire about chocolate and energy drink intake (EFSA-Q) as well as a 24-hour dietary recall (24HDR). Spearman's correlation test, Bland-Altman plots and quintile classification analysis were conducted together with the Wilcoxon test and descriptive statistics.Results: Significant correlations between the C-FFQ and the EFSA-Q for most common cocoa/chocolate products have been observed (p<0.05) as well between data from the C-FFQ and 24HDR (p<0.05). A variety of cocoa/chocolate products frequently consumed by the participants, were detected by the C-FFQ and 24HDR whereas they were not included in the EFSA-Q. According the C-FFQ, chocolate bars were the main source of cocoa in university students, but dairy products also provided an important amount of cocoa. Conclusion:The developed C-FFQ questionnaire can be considered as a valid option for assessing the consumption frequency of cocoa/chocolate-derived products, thereby allowing the evaluation of cocoa polyphenol intake in further studies.

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“…Other work has expanded the calibration method to include person-specific bias such as in the case of sugar biomarkers Spiegelman et al (2005); Tasevska et al (2014). While the calibration method has been demonstrated to work well for nutrients obtained from frequently consumed foods Geelen et al (2015) The statistical detail underlying the calibration method, and extensive simulation studies, are provided in Section 4, demonstrating the power and pitfalls of the calibration method in a range of realistic settings.…”

Section: The Calibration Methodsmentioning

confidence: 99%

“…In a similar vein Daures et al Daures et al (2000) assess FFQ validity using a biomarker with reference to beta-carotene intake. While it seems intuitive that the biomarker errors are independent of the self-reported and reference errors, the same cannot be said with certainty for the errors between the selfreported data and the reference; in such cases the MoT is invalid Geelen et al (2015). Fraser et al Fraser et al (2005) approach this issue by considering two biomarkers to estimate FFQ validity.…”

Section: The Methods Of Triadsmentioning

confidence: 99%

“…Repeated measurements in conjunction with biomarkers have also been employed in an attempt to account for the inherent measurement error in self-reported data Rosner et al (2008). Such repeated measurements are also suggested to be required when the nutrients under study are infrequently consumed and more complex measurement error models are required Geelen et al (2015); Kipnis et al (2009). Approaches which combine multiple biomarkers for one nutrient with self-reported data have also been documented e.g.…”

Section: Introductionmentioning

confidence: 99%

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Combining biomarker and self-reported dietary intake data: A review of the state of the art and an exposition of concepts

Gormley

Bai

Brennan

2019

Stat Methods Med Res

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Classical approaches to assessing dietary intake are associated with measurement error. In an effort to address inherent measurement error in dietary selfreported data there is increased interest in the use of dietary biomarkers as objective measures of intake. Furthermore, there is a growing consensus of the need to combine dietary biomarker data with self-reported data.A review of state of the art techniques employed when combining biomarker and self-reported data is conducted. Two predominant methods, the calibration method and the method of triads, emerge as relevant techniques used when combining biomarker and self-reported data to account for measurement errors in dietary intake assessment. Both methods crucially assume measurement error independence. To expose and understand the performance of these methods in a range of realistic settings, their underpinning statistical concepts are unified and delineated, and thorough simulation studies conducted.Results show that violation of the methods' assumptions negatively impacts resulting inference but that this impact is mitigated when the variation of the biomarker around the true intake is small. Thus there is much scope for the further development of biomarkers and models in tandem to achieve the ultimate goal of accurately assessing dietary intake.

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Comparison of approaches to correct intake–health associations for FFQ measurement error using a duplicate recovery biomarker and a duplicate 24 h dietary recall as reference method

Cited by 18 publications

References 23 publications

A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults

A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults

A new food frequency questionnaire to assess chocolate and cocoa consumption

Combining biomarker and self-reported dietary intake data: A review of the state of the art and an exposition of concepts

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