Guarantor: N Slimani. Contributors: NS was the overall coordinator of the ENDB project and in charge of the preparation of the paper in collaboration with the other co-authors. GD, JV, GS, SS, MP, IU, DATS, NS were members of the 'task force group' involving specific managerial or technical tasks for the project and/or the preparation of reference ENDB guidelines. IU was also in charge of the development of the DBMS in collaboration with the coordinating centre. SS, MP, PG, AM, JI, WB, AF, SW, EV, JU, SC and AB were involved as the national compilers in charge of documenting, compiling and evaluating the subset of their national nutrient databases used in the ENDB project. AM, JI, WB and IU were also involved as members of the 'ENDB expert group' headed by DATS, in charge of revising the reference ENDB guidelines. MN, MCB-R, CS, AT, SN, IM, JR, HB, MO, PHMP, PJ, PA, DE, EL, MS de M, AT, KG, CS, SR, AW, SB were involved as local EPIC collaborators in the supervision and preparation of EPIC-specific databases relevant to the ENDB project (e.g. recipe files). CC and MvB, at the coordinating centre, were involved in tasks relevant to these EPIC databases. AFS has provided long-standing scientific collaboration and support for setting up the ENDB. ER is the overall coordinator of the EPIC study. All co-authors provided comments and suggestions on the manuscript. Objective: This paper describes the ad hoc methodological concepts and procedures developed to improve the comparability of Nutrient databases (NDBs) across the 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). This was required because there is currently no European reference NDB available. Design: A large network involving national compilers, nutritionists and experts on food chemistry and computer science was set up for the 'EPIC Nutrient DataBase' (ENDB) project. A total of 550-1500 foods derived from about 37 000 standardized EPIC 24-h dietary recalls (24-HDRS) were matched as closely as possible to foods available in the 10 national NDBs. The resulting national data sets (NDS) were then successively documented, standardized and evaluated according to common guidelines and using a DataBase Management System specifically designed for this project. The nutrient values of foods unavailable or not readily available in NDSs were approximated by recipe calculation, weighted averaging or adjustment for weight changes and vitamin/mineral losses, using common algorithms. Results: The final ENDB contains about 550-1500 foods depending on the country and 26 common components. Each component value was documented and standardized for unit, mode of expression, definition and chemical method of analysis, as far as possible. Furthermore, the overall completeness of NDSs was improved (X99%), particularly for b-carotene and vitamin E. Conclusion: The ENDB constitutes a first real attempt to improve the comparability of NDBs across European countries. This methodological work will provide a useful tool for nutri...

This collaborative approach to the collation and sharing of data will enable objective and transparent tracking of processed food composition around the world. The information collected will support government and food industry efforts to improve the nutrient composition of processed foods around the world.

Background: The evidence for red meat as a determinant of colorectal cancer remains equivocal, which might be explained by differences in heme content. Heme is the prooxidant, iron-containing porphyrin pigment of meat and its content depends on the type of meat. Chlorophyll from green vegetables might modify this association. Methods: The Netherlands Cohort Study was initiated in 1986 when a self-administered questionnaire on risk factors for cancer was completed by 120,852 subjects ages 55 to 69 years. After 9.3 years of follow-up through the Cancer Registry, 1,535 incident colorectal cancer cases (869 men and 666 women) were available. Nineteen of the 150 items in the validated dietary questionnaire related to consumption of specific types of fresh and processed meat. Heme iron content was calculated as a type-specific percentage of the total iron

Titanium dioxide (TiO 2 ) is commonly applied to enhance the white colour and brightness of food products. TiO 2 is also used as white pigment in other products such as toothpaste. A small fraction of the pigment is known to be present as nanoparticles (NPs). Recent studies with TiO 2 NPs indicate that these particles can have toxic effects. In this paper, we aimed to estimate the oral intake of TiO 2 and its NPs from food, food supplements and toothpaste in the Dutch population aged 2 to over 70 years by combining data on food consumption and supplement intake with concentrations of Ti and TiO 2 NPs in food products and supplements. For children aged 2-6 years, additional intake via ingestion of toothpaste was estimated. The mean longterm intake to TiO 2 ranges from 0.06 mg/kg bw/day in elderly (70+), 0.17 mg/kg bw/day for 7-69-year-old people, to 0.67 mg/kg bw/day in children (2-6 year old). The estimated mean intake of TiO 2 NPs ranges from 0.19 mg/kg bw/day in elderly, 0.55 mg/kg bw/day for 7-69-yearold people, to 2.16 mg/kg bw/day in young children. Ninety-fifth percentile (P95) values are 0.74, 1.61 and 4.16 mg/kg bw/day, respectively. The products contributing most to the TiO 2 intake are toothpaste (in young children only), candy, coffee creamer, fine bakery wares and sauces. In a separate publication, the results are used to evaluate whether the presence of TiO 2 NPs in these products can pose a human health risk.

A self-administered semiquantitative food frequency questionnaire including 75 food items and providing information on the habitual intake of 31 nutritional parameters, based on the intake of protein, fat, carbohydrate, fiber and 11 vitamins and minerals, was developed for use in epidemiologic research on chronic disease among the elderly, such as diabetes and cardiovascular disease. By means of detailed frequency and quantity questions, specifications of types of food, preparation methods and seasonal variation, the questionnaire was expected to be an improvement on existing instruments. The relative validity of the questionnaire was examined in 74 men and women, aged 50-75, by comparison with a modified dietary history. Systematic differences were absent or negligible for all nutrients, except vitamin C. Bias depending on the level of intake could be ruled out for all but seven nutrients. Pearson correlation coefficients for estimates from the questionnaire and dietary history were on average 0.71 (range: 0.65-0.78) and 0.66 (range: 0.36-0.81) for macronutrients, and vitamins and minerals, respectively. Classifying individual intake estimates into tertiles of the distribution for both methods, on average 62.4 and 54.7% of the intakes were categorized into the same tertile and 3.9 and 5.9% into the opposite tertile for macronutrients, vitamins and minerals, respectively. These results demonstrate an acceptable relative validity for this newly developed questionnaire, as compared to the dietary history method.