Development of a food frequency questionnaire module and databases for compounds in cooked and processed meats
| Autor: | Amanda J. Cross, Adam Risch, Susanne McNutt, Joanne M. Holden, Thea Palmer Zimmerman, Jane Curtin, Rashmi Sinha |
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| Rok vydání: | 2005 |
| Předmět: |
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Meat Epidemiology Food Handling Iron Heme iron Heme computer.software_genre Basic research Surveys and Questionnaires Benzo(a)pyrene Humans Processed meat Cooked meat Food science Nitrites Nitrates Database Chemistry food and beverages Food frequency questionnaire Software package Diet Records Diet Databases as Topic Fish Cancer risk computer Nitroso Compounds Food Science Biotechnology |
| Zdroj: | Molecular Nutrition & Food Research. 49:648-655 |
| ISSN: | 1613-4133 1613-4125 |
| DOI: | 10.1002/mnfr.200500018 |
| Popis: | There is ample evidence from basic research and animal carcinogenicity studies that heterocyclic amines (HCAs) and polycyclic aromatic hydrocarbons (PAHs) are mutagens and carcinogens. However, there was a paucity of human data due to a lack of appropriate investigative tools. We developed the first validated cooked meat module within a food frequency questionnaire (FFQ) in the United States of America and created databases to be used in conjunction with this FFQ to estimate intake of HCAs and benzo[a]pyrene, a marker of PAHs. It became clear that other aspects of meat may also contribute to carcinogenesis; in particular, we are pursuing two additional areas: processed meat and iron exposure in relation to cancer risk. To investigate these hypotheses, we have expanded the cooked meat module to include detailed information on processed meats and fish. In addition, we are developing two databases, one for total iron and heme iron in cooked meat and the other for nitrite, nitrate, and N-nitroso compounds in processed meats. In this report, we will outline the methods used to develop the meat questionnaires, the databases, a software package for generating the intake values, and the methods used to generate nutritional data from nationally representative samples. |
| Databáze: | OpenAIRE |
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