Dietary-related exposure assessments in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort: an integrated multi-tiered approach using the FoodEx classification system.

IF 2.2
Inge Huybrechts, Geneviève Nicolas, Inarie Jacobs, Guri Skeie, Marc J Gunter, Pietro Ferrari, Sofia Ioannidou
{"title":"Dietary-related exposure assessments in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort: an integrated multi-tiered approach using the FoodEx classification system.","authors":"Inge Huybrechts, Geneviève Nicolas, Inarie Jacobs, Guri Skeie, Marc J Gunter, Pietro Ferrari, Sofia Ioannidou","doi":"10.1080/19440049.2025.2509239","DOIUrl":null,"url":null,"abstract":"<p><p>Large-scale cohorts, like the European Prospective Investigation into Cancer and Nutrition (EPIC), provide invaluable resources for studying the potential health impacts of dietary exposures, including those coming from the presence of contaminants and additives in food. The EFSA has developed a food classification system-initially referred to as FoodEx, which was revised and relaunched as FoodEx2. This system standardises the identification and characterisation of food items and is used to classify the items in EFSA's chemical monitoring and food consumption databases. This study presents the methodological concepts, challenges, and potential of using an integrated and stepwise approach for calculating novel dietary-related indicators such as food contaminants and additives, in cohorts like EPIC, using the EFSA FoodEx2 classification. As an example, cadmium exposure is used to illustrate the different procedures involved in this process. This paper serves as a reference for future epidemiological studies using the EPIC food additives and contaminants data and could facilitate the implementation of similar procedures in other cohorts that aim at investigating food additives and contaminants. The data generated <i>via</i> this integrated approach can be further used to explore the relationships between food contaminants and additives exposures and the risks of developing diseases such as cancer.</p>","PeriodicalId":520628,"journal":{"name":"Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment","volume":" ","pages":"849-862"},"PeriodicalIF":2.2000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19440049.2025.2509239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/3 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Large-scale cohorts, like the European Prospective Investigation into Cancer and Nutrition (EPIC), provide invaluable resources for studying the potential health impacts of dietary exposures, including those coming from the presence of contaminants and additives in food. The EFSA has developed a food classification system-initially referred to as FoodEx, which was revised and relaunched as FoodEx2. This system standardises the identification and characterisation of food items and is used to classify the items in EFSA's chemical monitoring and food consumption databases. This study presents the methodological concepts, challenges, and potential of using an integrated and stepwise approach for calculating novel dietary-related indicators such as food contaminants and additives, in cohorts like EPIC, using the EFSA FoodEx2 classification. As an example, cadmium exposure is used to illustrate the different procedures involved in this process. This paper serves as a reference for future epidemiological studies using the EPIC food additives and contaminants data and could facilitate the implementation of similar procedures in other cohorts that aim at investigating food additives and contaminants. The data generated via this integrated approach can be further used to explore the relationships between food contaminants and additives exposures and the risks of developing diseases such as cancer.

欧洲癌症与营养前瞻性调查(EPIC)队列中的饮食相关暴露评估:使用FoodEx分类系统的综合多层方法
像欧洲癌症和营养前瞻性调查(EPIC)这样的大规模队列,为研究饮食暴露的潜在健康影响提供了宝贵的资源,包括那些来自食品中存在的污染物和添加剂的影响。欧洲食品安全局已经开发了一个食品分类系统,最初称为FoodEx,经过修订并重新发布为FoodEx2。该系统标准化了食品的识别和特征,并用于在欧洲食品安全局的化学监测和食品消费数据库中对产品进行分类。本研究提出了在EPIC等队列中使用EFSA FoodEx2分类,使用综合和逐步方法计算新的饮食相关指标(如食品污染物和添加剂)的方法学概念、挑战和潜力。作为一个例子,镉暴露是用来说明在这一过程中所涉及的不同程序。本文可为今后使用EPIC食品添加剂和污染物数据进行流行病学研究提供参考,并可促进在其他旨在调查食品添加剂和污染物的队列中实施类似程序。通过这种综合方法产生的数据可以进一步用于探索食品污染物和添加剂暴露与患癌症等疾病风险之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信