法国E3N前瞻性队列中化合物饮食暴露的估计:一项研究方案

F. Mancini, D. Praud, B. Fervers, M. Boutron‐Ruault
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引用次数: 4

摘要

饮食是化合物暴露的重要来源,估计个体暴露对于研究其与长期健康影响的关系具有挑战性和必要性。该项目旨在估计E3N队列(Etude epidsammiologique aprires de femmes de la Mutuelle gsamnacrale de l 'Education Nationale)中400多种化合物的饮食暴露。为了做到这一点,我们开发了一个新的数据库,通过合并来自第二次法国总饮食研究(TDS2)的常见消费食品中的化学水平测量,以及E3N参与者的食品消费数据,获得了一个新的数据库。E3N是一项从1990年开始招募的前瞻性队列研究,纳入了近10万名年龄在40至65岁之间的女性。参与者每2-3年完成一份随访问卷,并在1993年和2005年使用根据法国饮食模式开发的有效的半定量食物问卷收集饮食数据,收集238种食物的消费信息。TDS2分析了186种加工后食用的核心食品中的445种不同化学物质。我们将TDS2研究中测量的每种物质的出现值归因于E3N食品问卷中包含的所有食品。我们确定了146种食品在两个数据库之间具有直接对应关系。另外,我们使用19个E3N食品项目的后验划分来归因于单一食品的加权平均值。对于在TDS2中未考虑的37种E3N食品,我们将TDS2中测量到的最相似食品的价值归因于此。由于没有类似的食品,总共36种食品被排除在E3N-TDS2数据库之外。这项研究将估算出E3N队列中400多种化学物质的饮食暴露量,无论是单独的还是混合的,从而调查它们对慢性疾病风险的影响,包括癌症、糖尿病、甲状腺异常或衰老。
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Estimation of the dietary exposure to chemical compounds in the French E3N prospective cohort: a study protocol
ABSTRACT Diet is an important source of exposure to chemical compounds and estimating individual exposure is challenging and essential to study the association with long term health effects. This project aims to estimate the dietary exposure to more than 400 chemical compounds in the E3N cohort (Etude Epidémiologique après de femmes de la Mutuelle Générale de l’Education Nationale). In order to do so we developed a new database obtained by merging measures of chemical levels in commonly consumed food, from the second French Total Diet Study (TDS2), with the consumption data for food items of the E3N participants. E3N is a prospective cohort enrolled from 1990 with nearly 100,000 women aged between 40 to 65 years at inclusion. Participants complete a follow-up questionnaire every 2–3 years and dietary data were collected in 1993 and in 2005 using validated semi-quantitative food questionnaires developed according to the French meal pattern, collecting consumption information for 238 food items. The TDS2 analysed 445 different chemical substances in 186 core foods prepared as consumed. We attributed an occurrence value for each substance measured in the TDS2 study to all foods items included in the E3N food questionnaires. We identified 146 food items with a direct correspondence between the two databases. Alternatively, we attributed the weighted average of single foods using an a posteriori partition for 19 E3N food items. For 37 E3N food items not considered in the TDS2 we attributed the value of the most similar food measured in the TDS2. Overall 36 food items were excluded from the E3N-TDS2 database because no similar food was available. This study will allow estimating the dietary exposures to more than 400 chemical substances, either individually or as mixtures, in the E3N cohort, and therefore investigating their effect on the risk of chronic diseases, including cancers, diabetes, thyroid abnormalities, or ageing.
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