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 ◽  
...  

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.

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 109
Author(s):  
Laura Trijsburg ◽  
Anouk Geelen ◽  
Paul J.M. Hulshof ◽  
Pieter van’t Veer ◽  
Hendriek C. Boshuizen ◽  
...  

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.


2009 ◽  
Vol 102 (S1) ◽  
pp. S10-S37 ◽  
Author(s):  
Patricia Henríquez-Sánchez ◽  
Almudena Sánchez-Villegas ◽  
Jorge Doreste-Alonso ◽  
Adriana Ortiz-Andrellucchi ◽  
Karina Pfrimer ◽  
...  

The EURRECA Network of Excellence is working towards the development of aligned micronutrient recommendations across Europe. The purpose of the present study was to define how to identify dietary intake validation studies in adults pertaining to vitamins. After establishing a search strategy, we conducted a MEDLINE and EMBASE literature review. A scoring system was developed to rate the quality of each validation study according to sample size, statistical methods, data collection procedure, seasonality and vitamin supplement use. This produced a quality index with possible scores obtained ranging from 0·5 to 7. Five thousand four-hundred and seventy-six papers were identified. The numbers meeting the inclusion criteria were: for vitamin A, 76; vitamin C, 108; vitamin D, 21; vitamin E, 75; folic acid, 47; vitamin B12, 19; vitamin B6, 21; thiamine, 49; riboflavin, 49; and niacin, 32. The most frequently used method to ascertain dietary intake was the Food Frequency Questionnaire (FFQ), whereas dietary records (DR) and 24-h recalls were the most used reference methods. The correlation coefficients (CC) between vitamin intakes estimated by FFQ and the reference method were weighted according to the study's quality index and ranged from 0·41 to 0·53 when the reference method was the DR and from 0·43 to 0·67 when the reference was 24-h recalls. A minority of studies (n33) used biomarkers for validation and in these the CC ranged from 0·26 to 0·38. The FFQ is an acceptable method of assessing vitamin intake. The present review provides new insights regarding the characteristics that assessment methods for dietary intake should fulfil.


2009 ◽  
Vol 102 (S1) ◽  
pp. S3-S9 ◽  
Author(s):  
Lluis Serra-Majem ◽  
Lene Frost Andersen ◽  
Patricia Henríque-Sánchez ◽  
Jorge Doreste-Alonso ◽  
Almudena Sánchez-Villegas ◽  
...  

Within the EURopean micronutrient RECommendations Aligned Network of Excellence (EURRECA), a scoring system was developed to assess the quality of dietary intake validation studies. The scoring system included three steps. The first step was to give each study a quality score, which included five components: sample size, statistics used, data collection procedure, consideration of seasonality and supplement use. Scores ranged from 0 to 7, and validation studies classified as very good ( ≥ 5), good (5–3·5), acceptable/reasonable (3·5–2·5) and poor ( < 2·5). The second and third steps included an adjustment/weighting of the correlation coefficient according to the quality score and moreover a rating of the adjusted/weighted correlation. The scoring system was tested in 124 validation studies that included at least one vitamin. Only 5·6 % of the 124 studies were judged to be of very good quality according to the quality score, 41·9 % of good quality and 16·9 % had a poor rating. When adjusting for the study quality scores, crude and adjusted mean correlations of vitamins A, C, D and E intakes were similar, but the percentage of correlation values classified as poor or very good was higher after adjustment. These results show the importance of considering the quality of studies validating dietary assessment methods and the correlations obtained for the micronutrient of interest when interpreting effects observed in epidemiological studies using dietary assessment methods. Without a doubt, this subject constitutes a key topic for research in nutritional epidemiology.


2009 ◽  
Vol 102 (S1) ◽  
pp. S38-S55 ◽  
Author(s):  
Lluis Serra-Majem ◽  
Karina Pfrimer ◽  
Jorge Doreste-Alonso ◽  
Lourdes Ribas-Barba ◽  
Almudena Sánchez-Villegas ◽  
...  

The EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence is working towards developing aligned micronutrient recommendations across Europe. The purpose of the present study was to conduct a review of methods used in validation studies carried out in adults assessing dietary intake of EURRECA priority minerals. A search strategy and inclusion criteria were defined and a scoring system was developed to rate the quality of each validation study that produced a quality index with possible scores obtained ranging from 0·5 to 7. A MEDLINE and EMBASE literature review was conducted. Articles/validation studies meeting the inclusion criteria included: 79/88 for Fe; 95/104 for Ca; 13/15 for Se; 29/30 for Zn; 7/9 for iodine. The most frequently used method to ascertain dietary intake was the Food Frequency Questionnaire (FFQ), whereas dietary records (DR) and 24 h recalls were the most used reference methods. The correlation coefficients (CC) between study mineral intakes estimated by FFQ and the reference method were weighted according to the study's quality index and obtained acceptable to good ratings, ranging from 0·36 to 0·60 when the reference method was DR and from 0·41 to 0·58 when the reference was 24 h recalls. A minority of studies (n9) used biomarkers for validation and among these, five included iodine obtaining a CC of 0·47. The FFQ was seen as a valid method for assessing mineral intake, particularly for Ca and, to a lower extent, for iodine and Zn. Se and Fe showed only acceptable correlations. The present review provides new insights regarding the characteristics that assessment methods for dietary mineral intakes should fulfil.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Anne J Wanders ◽  
Sabine E De Hoon ◽  
Marjan Alssema ◽  
Edith J Feskens ◽  
Geertruida J Van Woudenbergh ◽  
...  

Objective: To increase the understanding of circulating fatty acids (FA) as biomarkers of FA intake, we investigated (1) determinants of circulating proportions of linoleic acid (LA), alpha-linolenic acid (ALA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA); and (2) the effect of demographic, lifestyle, and health factors on the relation between circulating and self-reported intake of LA, ALA, EPA, and DHA. Hypothesis: We hypothesized that demographic, lifestyle, and health factors influence the relation between circulating and self-reported intake of FA. Methods: Cross-sectional analysis in combined data from the CoDAM (n=472) and Hoorn study (n=708). Dietary FA intakes (% of total FA) were calculated from a validated 79-item semi-quantitative food frequency questionnaire. Fasting total fatty acids (% of total FA) in plasma (CoDAM) or serum (Hoorn) were measured by gas liquid chromatography. The variation in circulating proportions of FA explained by demographic, lifestyle and health factors was calculated by multivariable linear regression analysis. Correlation coefficients between circulating proportions of FA and self-reported FA intakes were calculated by standardized multivariable linear regression analysis adjusted for demographic, lifestyle, and health factors. To assess the influence of specific factors on correlations, stratified analyses were performed and interactions were calculated. Results: Self-reported intakes were the primary determinants of circulating proportions of LA (partial R2: 7%), ALA (2%), EPA (9%) and DHA (16%). Standardized regression coefficients between circulating and self-reported FA were: LA β=0.280 (95% Confidence Interval: 0.227-0.333), ALA β=0.130 (0.071-0.188), EPA β=0.338 (0.281-0.395), and DHA β=0.450 (0.397-0.503). Other determinants of circulating FA were the use of lipid lowering drugs, waist circumference and sex for LA; prevalence of type 2 diabetes mellitus, age, sex, and alcohol intake for EPA; and age for DHA. The correlation between circulating and dietary LA was stronger among people with a lower vs higher waist circumference and higher vs lower alcohol intake (interaction: p<0.05). In women, the correlation between circulating and dietary EPA and DHA was weaker than in men, and the correlation between circulating and dietary DHA was higher with higher alcohol intake. Underreporting of energy intake did not affect the correlations. Conclusion: Self-reported intake of FA is the primary, but not the only determinant of circulating proportions of LA, ALA, EPA and DHA. This analysis indicates that demographic, lifestyle, and health characteristics may influence the relation between circulating proportions and self-reported intake of FA. Improved understanding is needed of factors determining circulating FA and the implication for their use as biomarkers of dietary intake in different subgroups.


Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 973 ◽  
Author(s):  
Emma Partridge ◽  
Marian Neuhouser ◽  
Kara Breymeyer ◽  
Jeannette Schenk

Novel technology-based dietary assessment methods use volume estimates of foods to assess dietary intake. However, the nutrient content of standard databases is based on food weight. The goal of this study is to evaluate the accuracy of the United States Department of Agriculture National Nutrient Database for Standard Reference (USDA-SR) estimates of volume and the corresponding macronutrient content of the foods. The weights of 35 individual food volumes were measured (on trial) and compared to the USDA-SR-determined weight for the food volume. Macronutrient content corresponding to the trial weight and the USDA-SR weight for the food volume (USDA) were determined using the USDA-SR, and the differences were calculated. There were statistically significant differences between the USDA and trial weights for 80% of foods measured. Calorie estimates by USDA weight were significantly lower than that of trial weight for 54% of foods but were significantly greater for 26% of foods. Differences in macronutrient estimates by trial and USDA weight varied by food type. These findings suggest that nutrient databases based on food weight may not provide accurate estimates of dietary intake when assessed using food volumes. Further development of image-assisted dietary assessment methods which measure food volumes will necessitate evaluation of the accuracy of the processes used to convert weight to volume in nutrient databases.


2016 ◽  
Vol 76 (3) ◽  
pp. 283-294 ◽  
Author(s):  
C. J. Boushey ◽  
M. Spoden ◽  
F. M. Zhu ◽  
E. J. Delp ◽  
D. A. Kerr

For nutrition practitioners and researchers, assessing dietary intake of children and adults with a high level of accuracy continues to be a challenge. Developments in mobile technologies have created a role for images in the assessment of dietary intake. The objective of this review was to examine peer-reviewed published papers covering development, evaluation and/or validation of image-assisted or image-based dietary assessment methods from December 2013 to January 2016. Images taken with handheld devices or wearable cameras have been used to assist traditional dietary assessment methods for portion size estimations made by dietitians (image-assisted methods). Image-assisted approaches can supplement either dietary records or 24-h dietary recalls. In recent years, image-based approaches integrating application technology for mobile devices have been developed (image-based methods). Image-based approaches aim at capturing all eating occasions by images as the primary record of dietary intake, and therefore follow the methodology of food records. The present paper reviews several image-assisted and image-based methods, their benefits and challenges; followed by details on an image-based mobile food record. Mobile technology offers a wide range of feasible options for dietary assessment, which are easier to incorporate into daily routines. The presented studies illustrate that image-assisted methods can improve the accuracy of conventional dietary assessment methods by adding eating occasion detail via pictures captured by an individual (dynamic images). All of the studies reduced underreporting with the help of images compared with results with traditional assessment methods. Studies with larger sample sizes are needed to better delineate attributes with regards to age of user, degree of error and cost.


2018 ◽  
Author(s):  
Susan M Schembre ◽  
Yue Liao ◽  
Sydney G O'Connor ◽  
Melanie D Hingle ◽  
Shu-En Shen ◽  
...  

BACKGROUND New methods for assessing diet in research are being developed to address the limitations of traditional dietary assessment methods. Mobile device–assisted ecological momentary diet assessment (mEMDA) is a new dietary assessment method that has not yet been optimized and has the potential to minimize recall biases and participant burden while maximizing ecological validity. There have been limited efforts to characterize the use of mEMDA in behavioral research settings. OBJECTIVE The aims of this study were to summarize mEMDA protocols used in research to date, to characterize key aspects of these assessment approaches, and to discuss the advantages and disadvantages of mEMDA compared with the traditional dietary assessment methods as well as implications for future mEMDA research. METHODS Studies that used mobile devices and described mEMDA protocols to assess dietary intake were included. Data were extracted according to Preferred Reporting of Systematic Reviews and Meta-Analyses and Cochrane guidelines and then synthesized narratively. RESULTS The review included 20 studies with unique mEMDA protocols. Of these, 50% (10/20) used participant-initiated reports of intake at eating events (event-contingent mEMDA), and 50% (10/20) used researcher-initiated prompts requesting that participants report recent dietary intake (signal-contingent mEMDA). A majority of the study protocols (60%, 12/20) enabled participants to use mobile phones to report dietary data. Event-contingent mEMDA protocols most commonly assessed diet in real time, used dietary records for data collection (60%, 6/10), and provided estimates of energy and nutrient intake (60%, 6/10). All signal-contingent mEMDA protocols used a near real-time recall approach with unannounced (ie, random) abbreviated diet surveys. Most signal-contingent protocols (70%, 7/10) assessed the frequency with which (targeted) foods or food groups were consumed. Relatively few (30%, 6/20) studies compared mEMDA with the traditional dietary assessment methods. CONCLUSIONS This review demonstrates that mEMDA has the potential to reduce participant burden and recall bias, thus advancing the field beyond current dietary assessment methods while maximizing ecological validity.


2019 ◽  
Vol 119 (11) ◽  
pp. 1801-1816 ◽  
Author(s):  
Sharon I. Kirkpatrick ◽  
Tom Baranowski ◽  
Amy F. Subar ◽  
Janet A. Tooze ◽  
Edward A. Frongillo

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