scholarly journals A new food-composition database for 437 polyphenols in 19,899 raw and prepared foods used to estimate polyphenol intakes in adults from 10 European countries

2018 ◽  
Vol 108 (3) ◽  
pp. 517-524 ◽  
Author(s):  
Viktoria Knaze ◽  
Joseph A Rothwell ◽  
Raul Zamora-Ros ◽  
Aurelie Moskal ◽  
Cecilie Kyrø ◽  
...  

ABSTRACT BACKGROUND Accurate assessment of polyphenol intakes is needed in epidemiologic research in order to study their health effects, and this can be particularly challenging in international study settings. OBJECTIVE The purpose of this work is to describe the procedures to prepare a comprehensive polyphenol food-composition database that was used to calculate standardized polyphenol intakes from 24-h diet recalls (24HDRs) and dietary questionnaires (DQs) in the European Prospective Investigation into Cancer and Nutrition (EPIC). Design With the use of the comparable food classification and facet-descriptor system of the computerized 24HDR program EPIC-Soft (renamed GloboDiet), foods reported in the 24HDR (n = 74,626) were first aggregated following a stepwise process. Multi-ingredient and generic foods were broken down into ingredients or more-specific foods with consideration of regional consumption habits before matching to foods in the Phenol-Explorer database. Food-composition data were adjusted by using selected retention factors curated in Phenol-Explorer. DQ foods (n = 13,946) were matched to a generated EPIC 24HDR polyphenol-composition database before calculation of daily intakes from the 24HDR and DQ. RESULTS Food matching yielded 2.0% and 2.7% of foods with missing polyphenol content in the 24HDR and DQ food data sets, respectively. Process-specific retention factors for 42 different polyphenol compounds were applied to adjust the polyphenol content in 35 prioritized Phenol-Explorer foods, thereby adjusting the polyphenol content in 70% of all of the prepared 24 food occurrences. A detailed food-composition database was finally generated for 437 polyphenols in 19,899 aggregated raw and prepared foods reported by 10 EPIC countries in the 24HDR. Conclusions An efficient procedure was developed to build the most-comprehensive food-composition database for polyphenols, thereby standardizing the calculations of dietary polyphenol intakes obtained from different dietary assessment methods and European populations. The whole database is accessible online. This procedure could equally be used for other food constituents and in other cohorts.

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 926 ◽  
Author(s):  
Androniki Naska ◽  
Areti Lagiou ◽  
Pagona Lagiou

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.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 182-182
Author(s):  
Reina Engle-Stone ◽  
Jody Miller ◽  
Ame Stormer ◽  
Dolly Reario ◽  
Mario Capanzana ◽  
...  

Abstract Objectives We aimed to develop and validate a tool to estimate vitamin A (VA) intake and identify children at risk of intake above the tolerable upper intake level (UL). Methods We developed, pilot-tested, and refined a screening tool to estimate VA intake among Filipino children 12–18 mo of age. Data were entered into tablets with pre-loaded food composition data to calculate VA intake immediately. The screening tool was used to identify children likely to have “adequate” (one group: 200–500 µg retinol activity equivalents, RAE/d) or “high” (two groups: >600 µg retinol/d) intake. Interviewers administered four 24-h recalls, one 12-h observed weighed record with 12-h recall, and a 30-d supplement questionnaire. Breastmilk intake and VA concentration were measured among breastfeeding children. We compared the screening tool and detailed dietary assessment (DDA) results for primary VA sources, group mean usual intake, and prevalence of intakes above the UL. Results Major VA sources were similar between methods: fortified milk powders, multivitamin supplements, and breastmilk; contributions from intervention programs (e.g., micronutrient powders, fortified staple foods) were low. Mean usual retinol intakes for the high groups (n = 47 and 39, respectively) were 1218 and 1313 µg/d by screening tool vs. 1096 and 931 by DDA; 70 and 77% had usual intake above 600 µg/d. In the adequate group (n = 37), mean total VA intake was 375 and 559 µg RAE/d by screening and DDA, respectively. Conclusions This screening tool provides a reasonably good rapid estimate of VA intake among Filipino children and can be useful for identifying groups with adequate to excessive intakes. Funding Sources Bill & Melinda Gates Foundation.


Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1584 ◽  
Author(s):  
Suzana Shahar ◽  
Hamid Jan Bin Jan Mohamed ◽  
Francisco de los Reyes ◽  
Maria Amarra

The present study examined the best available evidence regarding energy and macronutrient intake during adulthood (age 19 to 59 years) in Malaysia and assessed whether intakes adhere to national recommendations, in order to develop recommendations for dietary improvement based on population consumption patterns. A literature review and meta-analysis evaluated intake based on the following characteristics, using information from food balance sheets, national surveys, and individual studies: (1) levels of intake, (2) proportion of the population whose diets adhere to/exceed/fail to meet Malaysian Recommended Nutrient Intake (RNI) levels, and (3) sources of macronutrients observed in these studies. Food balance data suggested high levels of available energy, animal source protein, vegetable fat, and refined carbohydrates. Twenty studies (five nationwide, 15 individual) indicated that Malaysian adults generally met or exceeded recommendations for fat and protein, but were inconsistent with respect to energy and carbohydrates. Information on dietary sources was limited. Due to methodological limitations, insufficient evidence exists regarding energy and macronutrient intakes of Malaysian adults. Improved dietary assessment methods (including use of biomarkers), better data analysis, and updated food composition data, will provide more reliable information on which to base policy decisions and recommendations for improvement.


Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 200 ◽  
Author(s):  
Liangzi Zhang ◽  
Eline Nawijn ◽  
Hendriek Boshuizen ◽  
Marga Ocké

Nutrient estimations from mixed dishes require detailed information collection and should account for nutrient loss during cooking. This study aims to make an inventory of recipe creating features in popular food diary apps from a research perspective and to evaluate their nutrient calculation. A total of 12 out of 57 screened popular dietary assessment apps included a recipe function and were scored based on a pre-defined criteria list. Energy and nutrient content of three recipes calculated by the apps were compared with a reference procedure, which takes nutrient retention due to cooking into account. The quality of the recipe function varies across selected apps with a mean score of 3.0 (out of 5). More relevant differences (larger than 5% of the Daily Reference Intake) between apps and the reference were observed in micronutrients (49%) than in energy and macronutrients (20%). The primary source of these differences lies in the variation in food composition databases underlying each app. Applying retention factors decreased the micronutrient contents from 0% for calcium in all recipes to more than 45% for vitamins B6, B12, and folate in one recipe. Overall, recipe features and their ability to capture true nutrient intake are limited in current apps.


2002 ◽  
Vol 5 (6a) ◽  
pp. 925-930 ◽  
Author(s):  
Johanna T Dwyer ◽  
Julia J Peterson

AbstractObjective:Flavonoids are phytochemicals with potentially beneficial biological effects that are poorly characterised in existing tables of food composition.Design:To describe new techniques for analysis, absorption, informatics and dietary assessment that are important in measuring the flavonoid content in foods and in developing a flavonoid food composition database.Setting:Data on chemical analyses of the major flavonoid compounds that exist in the food science literature are being located, collated and compiled into a preliminary flavonoid food composition database.Results:The analytical process begins with preparation of the food for flavonoid analysis using techniques to disrupt the food matrix, alcoholic extraction, and enzymatic or acidic hydrolysis to remove sugars. Separation is usually accomplished using high-performance liquid chromatography. Flavonoids are identified by diode array spectrometry, mass spectrometry or nuclear magnetic resonance spectroscopy. Quantification usually employs comparison of the sample with standards, if available, using the area under the curve of the chromatogram to estimate quantity. Absorption studies are useful since flavonoids vary in their absorption. Finally, information management technologies (informatics) are used to translate flavonoid data information into food composition databases. This process involves identification of foods containing the compounds of interest, collection and organisation of sources of existing analytical data, assignment of quality scores or aggregation of acceptable data for each component and food, calculation of appropriate statistics, assignment of food codes and verification, and finalisation. The resulting food flavonoid database can be used with state-of-the-art dietary assessment methods to develop estimates of flavonoid intakes in foods and to correlate these with estimates of disease risk.Conclusions:A provisional flavonoid database, including at least two components from each of six classes of flavonoids, should be completed in 2002.


2018 ◽  
Vol 108 (4) ◽  
pp. 878-888 ◽  
Author(s):  
Abrar M Babateen ◽  
Gianfranco Fornelli ◽  
Lorenzo M Donini ◽  
John C Mathers ◽  
Mario Siervo

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).


2020 ◽  
Vol 11 (6) ◽  
pp. 1429-1436
Author(s):  
Jimmy Chun Yu Louie

ABSTRACT Misreporting of added sugar intake has been the major criticism of studies linking high added sugar consumption to adverse health outcomes. Despite the advancement in dietary assessment methodologies, the bias introduced by self-reporting can never be completely eliminated. The search for an objective biomarker for total added sugar intake has therefore been a topic of interest. In this article, the reasons this search may be a wild goose chase will be outlined and discussed. The limitations and inability of the 2 candidate biomarkers, namely urinary sucrose and fructose and δ¹³C isotope, which are based on the 2 only possible ways (i.e., difference in metabolism and plant sources) to identify added sugar based on current knowledge in human physiology and food and nutritional sciences, are discussed in detail. Validation studies have shown that these 2 candidate biomarkers are unlikely to be suitable for use as a predictive or calibration biomarker for total added sugar intake. Unless advancement in our understanding in human physiology and food and nutritional sciences leads to new potential ways to distinguish between naturally occurring and added sugars, it is extremely unlikely that any accurate objective added sugar biomarker could be found. It may be time to stop the futile effort in searching for such a biomarker, and resources may be better spent on further improving and innovating dietary assessment methods to minimize the bias introduced by self-reporting.


2016 ◽  
Vol 115 (02) ◽  
pp. 344-352 ◽  
Author(s):  
George Pounis ◽  
Marialaura Bonaccio ◽  
Augusto Di Castelnuovo ◽  
Simona Costanzo ◽  
Amalia De Curtis ◽  
...  

SummaryThe association of polyphenol content of human diet with low-grade inflammation is not yet fully understood. It was the objective of this study to evaluate the association of flavonoid and lignan intake with frequently used and easily applicable in clinical practice low-grade inflammation biomarkers, in a novel holistic approach. A total of 5,948 women and 5,965 men (aged ≥ 35years) were analysed from the Moli-sani cohort, randomly recruited from the general population. The EPIC-FFQ was used for dietary assessment. Flavonol, flavone, flavanone, flavanol, anthocyanin, isoflavone and lignan intakes were calculated using Eurofir eBASIS and the polyphenol antioxidant content (PAC)-score was constructed to assess the total content of diet in these nutrients. CRP levels, WBC and PLT count and granulocyte to lymphocyte ratio were conceived as low-grade inflammation biomarkers. INFLA-score was constructed summarizing synergistic effects of these biomarkers. The INFLA-score was negatively associated with PAC-score in different levels of adjustment, in both genders (for all β-coef< 0, P< 0.05). 10 units increase in PAC-score was associated with 5–8 % decrease in the likelihood of higher low-grade inflammation status (i. e. higher quartile of INFLA-score) in men and women (odds ratio [ORs] 0.92 to 0.95, p< 0.05). The total variation of INFLA-score that was explained by PAC-score was estimated to be 16.7 % in women and 9.1 % in men (%R2=16.7 and 9.1). In conclusion, polyphenol content of diet evaluated in a holistic approach was negatively associated with a score of low-grade inflammation biomarkers in a large population based study. For the first time low-grade inflammation was evaluated in a holistic way through INFLA-score and was associated with polyphenol content of diet.Supplementary Material to this article is available online at www.thrombosis-online.com.


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