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The National Dietary Assessment Reference Database: towards a gold standard to generate, validate and calibrate dietary intake information

Projectomschrijving

Dit project beoogt gegevens te verzamelen voor het opzetten van een referentiebestand dat gedurende de komend tien tot vijftien jaar kan worden gebruikt als een gouden standaard voor studies waarin de voedselconsumptie gemeten wordt. Met behulp van het referentiebestand kunnen onderzoekers nieuwe voedselvragenlijsten ontwikkelen en de verzamelde voedselconsumptiegegevens valideren en ijken. Dit bestand zal substantieel bijdragen aan de kwaliteit van het voedings- en gezondheidsonderzoek in Nederland.

Verslagen


Eindverslag

In 2011 is gestart met de werving van de NDARD deelnemers uit gemeenteregisters van Ede, Wageningen, Renkum, Arnhem en Veenendaal; 2249 deelnemers registreerden voor NDARD en uiteindelijk tekenden 2048 een ‘informed consent’ formulier. De NDARD database bevat uitgebreide gegevens over de voedselconsumptie van 1063 mannen en 985 vrouwen van 20-70 jaar. Op baseline hebben 1657 deelnemers een algemene voedingsvragenlijst (FFQ) ingevuld, 1785 deelnemers hebben minstens één recall ingevuld en 652 deelnemers min. vijf. Daarnaast is bloed en urine in een biobank opgeslagen. De algemene voedingsgegevens in de NDARD database komen overeen met de gegevens die zijn verzameld tijdens de nationale voedselconsumptiepeiling 2007-2010 (RIVM). Inmiddels zijn twee proefschriften verschenen op basis van de NDARD database over de o.a. de methoden van validatie-onderzoek; 2 artikelen zijn gepubliceerd en 18 artikelen zijn in bewerking.

Samenvatting van de aanvraag

This methodological project aims to produce the gold standard database that can be used in the forthcoming 10-15 yrs in dietary assessment studies. Using this gold standard, Dutch researchers needing good quality information on dietary intake of individuals will be able to generate, validate and calibrate their dietary questionnaires. This is a crucial tool in the field of diet and health research, which is seriously lacking now. Data on dietary exposure of individuals is for example vital to the research question of cohorts such as LifeLines (n=165,000), that aims to elucidate gene-environment interactions in chronic diseases such as obesity, type 2 diabetes, cardiovascular disease, COPD as well as ageing. Also other Dutch cohort studies are planning to collect dietary information (e.g. RadboudMC, VUMC). Moreover, validation of dietary assessment is crucial to nutrition surveillance in The Netherlands, to the development of new technologies in dietary assessment, and to the assessment of food patterns. Until now, the so-called Food Frequency Questionnaire (FFQ) has been used to collect dietary intake information. Ideally, the FFQ is generated from a database with information on both the level and the variation of nutrient and food intake of the target population. So far, the VCP 1998 has been used, but this is not only outdated (dietary habits and fashions change with time, especially in the recent decade), it also lacks sufficient information on the individuals’ variation of intake and food pattern, as the basis was a 2-day record method. Although more recent information of VCPs will become available these will also be based on only 2 days i.e. a duplicate 24hr recall (24hDR). Previous studies have shown that for nutrients and foods with a large day-to-day variation, e.g. vitamin C intake, repeated information on 12 days is necessary to obtain a valid intake estimate. Finally, objective information as obtained from biochemical markers (biomarkers of intake) is needed to be able to overcome differential under- of over reporting, such as for example energy underestimation by obese subjects. During a five year period, we will therefore collectively set-up an unique gold standard database, based on a data collected among ~2250 men and women aged 20-30; 40-50; 60-70 yrs. The gold standard reference assessment will be conducted among 750 subjects (125 per stratum) and consists of 12 replicated 24-hr dietary recall covering a whole calendar year, with independent validation against replicated blood and 24hr urine samples that will be stored and assessed for urinary recovery markers (nitrogen and potassium) and blood concentration markers (carotenoids and fatty acids). This enables triangular comparisons of FFQ, 24-h recalls and biomarker-based methods. To anticipate developments in dietary patterns and eating behaviour, questionnaires on other aspects of eating behaviour (how, when and where do people ate what foods) in a sub-sample of these subjects additional information on eating behaviour will be obtained from meals(video tapes) and analyses of food patterns at the individual level. A second subsample of 750 subjects will resemble the design of the National Food Surveillance system in The Netherlands: a duplicate 24 hr recall, with biomarkers as above, and a food propensity questionnaire (FPQ) to allow for infrequently consumed foods. The third subgroup of 750 subjects will only receive replicated FFQs to assess reproducibility over short (6 months) and long-term (12-48 months). Together with measurements on anthropometry and physical activity, these data provide ample opportunities for calibration of these frequently used dietary assessment methods and to anticipate on future developments in analytical epidemiological research (FFQs), nutrition surveillance (duplicate 24hDRs) and nutrition interventions (food patterns). The 2250 subjects FFQ data, physical examination measurements and biological samples will be available for in depth research for developing new biomarkers (e.g. based on genomics, addressing specific nutrients and/or food patterns). Taken together, this database will be crucial in enhancing the quality of population-based and clinical diet-health studies in the Netherlands.

Onderwerpen

Kenmerken

Projectnummer:
91110030
Looptijd: 100%
Looptijd: 100 %
2010
2015
Onderdeel van programma:
Gerelateerde subsidieronde:
Projectleider en penvoerder:
Prof. dr. ir. E.J.M. Feskes
Verantwoordelijke organisatie:
Wageningen Universiteit