European Journal of Nutrition

, Volume 52, Issue 5, pp 1503–1512

Challenges in estimating the validity of dietary acrylamide measurements

  • Pietro Ferrari
  • Heinz Freisling
  • Eric J. Duell
  • Rudolf Kaaks
  • Leila Lujan-Barroso
  • Françoise Clavel-Chapelon
  • Marie-Christine Boutron-Ruault
  • Laura Nailler
  • Silvia Polidoro
  • Amalia Mattiello
  • Domenico Palli
  • Rosario Tumino
  • Sara Grioni
  • Sven Knüppel
  • Anne Tjønneland
  • Anja Olsen
  • Kim Overvad
  • Philippos Orfanos
  • Michail Katsoulis
  • Antonia Trichopoulou
  • Jose Ramón Quirós
  • Eva Ardanaz
  • José María Huerta
  • Pilar Amiano Etxezarreta
  • María José Sánchez
  • Francesca Crowe
  • Kay-Tee Khaw
  • Nicholas J. Wareham
  • Marga Ocke
  • Bas Bueno-de-Mesquita
  • Petra H. M. Peeters
  • Ulrika Ericson
  • Elisabet Wirfält
  • Göran Hallmans
  • Ingegerd Johansson
  • Dagrun Engeset
  • Geneviève Nicolas
  • Valentina Gallo
  • Teresa Norat
  • Elio Riboli
  • Nadia Slimani
Original Contribution

DOI: 10.1007/s00394-012-0457-7

Cite this article as:
Ferrari, P., Freisling, H., Duell, E.J. et al. Eur J Nutr (2013) 52: 1503. doi:10.1007/s00394-012-0457-7
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Abstract

Background

Acrylamide is a chemical compound present in tobacco smoke and food, classified as a probable human carcinogen and a known human neurotoxin. Acrylamide is formed in foods, typically carbohydrate-rich and protein-poor plant foods, during high-temperature cooking or other thermal processing. The objectives of this study were to compare dietary estimates of acrylamide from questionnaires (DQ) and 24-h recalls (R) with levels of acrylamide adduct (AA) in haemoglobin.

Methods

In the European Prospective Investigation into Cancer and Nutrition (EPIC) study, acrylamide exposure was assessed in 510 participants from 9 European countries, randomly selected and stratified by age, sex, with equal numbers of never and current smokers. After adjusting for country, alcohol intake, smoking status, number of cigarettes and energy intake, correlation coefficients between various acrylamide measurements were computed, both at the individual and at the aggregate (centre) level.

Results

Individual level correlation coefficient between DQ and R measurements (rDQ,R) was 0.17, while rDQ,AA and rR,AA were 0.08 and 0.06, respectively. In never smokers, rDQ,R, rDQ,AA and rR,AA were 0.19, 0.09 and 0.02, respectively. The correlation coefficients between means of DQ, R and AA measurements at the centre level were larger (r > 0.4).

Conclusions

These findings suggest that estimates of total acrylamide intake based on self-reported diet correlate weakly with biomarker AA Hb levels. Possible explanations are the lack of AA levels to capture dietary acrylamide due to individual differences in the absorption and metabolism of acrylamide, and/or measurement errors in acrylamide from self-reported dietary assessments, thus limiting the possibility to validate acrylamide DQ measurements.

Keywords

Acrylamide Dietary questionnaires Haemoglobin adducts Biomarkers Smoking Measurement errors 

Supplementary material

394_2012_457_MOESM1_ESM.docx (17 kb)
Supplementary material 1 (DOCX 16 kb)
394_2012_457_MOESM2_ESM.docx (25 kb)
Supplementary material 2 (DOCX 24 kb)

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Pietro Ferrari
    • 1
  • Heinz Freisling
    • 1
  • Eric J. Duell
    • 2
  • Rudolf Kaaks
    • 3
  • Leila Lujan-Barroso
    • 2
    • 4
  • Françoise Clavel-Chapelon
    • 5
  • Marie-Christine Boutron-Ruault
    • 5
  • Laura Nailler
    • 5
  • Silvia Polidoro
    • 6
  • Amalia Mattiello
    • 7
  • Domenico Palli
    • 8
  • Rosario Tumino
    • 9
  • Sara Grioni
    • 10
  • Sven Knüppel
    • 11
  • Anne Tjønneland
    • 12
  • Anja Olsen
    • 12
  • Kim Overvad
    • 13
  • Philippos Orfanos
    • 14
    • 15
  • Michail Katsoulis
    • 14
    • 15
  • Antonia Trichopoulou
    • 14
    • 15
  • Jose Ramón Quirós
    • 16
  • Eva Ardanaz
    • 17
    • 18
  • José María Huerta
    • 18
    • 19
  • Pilar Amiano Etxezarreta
    • 20
  • María José Sánchez
    • 21
  • Francesca Crowe
    • 22
  • Kay-Tee Khaw
    • 23
  • Nicholas J. Wareham
    • 24
  • Marga Ocke
    • 25
  • Bas Bueno-de-Mesquita
    • 25
    • 26
  • Petra H. M. Peeters
    • 27
  • Ulrika Ericson
    • 28
  • Elisabet Wirfält
    • 29
  • Göran Hallmans
    • 30
  • Ingegerd Johansson
    • 31
  • Dagrun Engeset
    • 32
  • Geneviève Nicolas
    • 1
  • Valentina Gallo
    • 33
  • Teresa Norat
    • 33
  • Elio Riboli
    • 33
  • Nadia Slimani
    • 1
  1. 1.International Agency for Research on Cancer (IARC-WHO)LyonFrance
  2. 2.Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research ProgrammeCatalan Institute of Oncology (ICO-IDIBELL)BarcelonaSpain
  3. 3.Department of Cancer EpidemiologyGerman Cancer Research CentreHeidelbergGermany
  4. 4.Biostatistics, Department of Public HealthUniversity of BarcelonaBarcelonaSpain
  5. 5.Inserm, Centre for Research in Epidemiology and Population Health, U1018VillejuifFrance
  6. 6.Human Genetic Foundation (HuGeF)TorinoItaly
  7. 7.Department of Clinical and Experimental MedicineFederico II UniversityNaplesItaly
  8. 8.Molecular and Nutritional Epidemiology UnitCancer Research and Prevention Institute, ISPOFlorenceItaly
  9. 9.Cancer Registry and Histopathology Unit“Civile, M.P.Arezzo” HospitalASP RagusaItaly
  10. 10.Nutritional Epidemiology UnitFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
  11. 11.Department of EpidemiologyGerman Institute of Human Nutrition Potsdam-RehbrueckeNuthetalGermany
  12. 12.Danish Cancer Society Research CenterCopenhagenDenmark
  13. 13.Department of Epidemiology, School of Public HealthAarhus UniversityAarhusDenmark
  14. 14.Hellenic Health FoundationAthensGreece
  15. 15.WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical StatisticsUniversity of Athens Medical SchoolAthensGreece
  16. 16.Public Health DirectorateAsturiasSpain
  17. 17.Navarre Public Health InstitutePamplonaSpain
  18. 18.CIBER Epidemiology and Public Health CIBERESPBarcelonaSpain
  19. 19.Department of EpidemiologyMurcia Regional Health CouncilMurciaSpain
  20. 20.Public Health Division of GipuzkoaDonostia-San SebastianSpain
  21. 21.Registro de Cáncer de GranadaEscuela Andaluza de Salud PúblicaGranadaSpain
  22. 22.Cancer Epidemiology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUK
  23. 23.Department of Public Health and Primary CareUniversity of Cambridge Addenbrooke’s HospitalCambridgeUK
  24. 24.MRC Epidemiology Unit, Institute of Metabolic ScienceAddenbrooke’s HospitalCambridgeUK
  25. 25.National Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
  26. 26.Department of Gastroenterology and HepatologyUniversity Medical CentreUtrechtThe Netherlands
  27. 27.Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
  28. 28.Diabetes and Cardiovascular Disease, Genetic Epidemiology, Department of Clinical Sciences in MalmöLund UniversityLundSweden
  29. 29.Nutritional Epidemiology, Department of Clinical Sciences in MalmöLund UniversityLundSweden
  30. 30.Department of Public Health and Clinical MedicineUmeå UniversityUmeåSweden
  31. 31.Department of OdontologyUmeå UniversityUmeåSweden
  32. 32.Department of Community MedicineUniversity of TromsøTromsøNorway
  33. 33.Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK

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