Skip to main content
Top
Published in: European Journal of Nutrition 5/2013

01-08-2013 | Original Contribution

Challenges in estimating the validity of dietary acrylamide measurements

Authors: 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

Published in: European Journal of Nutrition | Issue 5/2013

Login to get access

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 (r DQ,R) was 0.17, while r DQ,AA and r R,AA were 0.08 and 0.06, respectively. In never smokers, r DQ,R, r DQ,AA and r R,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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Smith CJ, Perfetti TA, Rumple MA, Rodgman A, Doolittle DJ (2000) “IARC group 2A Carcinogens” reported in cigarette mainstream smoke. Food Chem Toxicol 38:371–383CrossRef Smith CJ, Perfetti TA, Rumple MA, Rodgman A, Doolittle DJ (2000) “IARC group 2A Carcinogens” reported in cigarette mainstream smoke. Food Chem Toxicol 38:371–383CrossRef
2.
go back to reference Tareke E, Rydberg P, Karlsson P, Eriksson S, Tornqvist M (2002) Analysis of acrylamide, a carcinogen formed in heated foodstuffs. J Agric Food Chem 50:4998–5006CrossRef Tareke E, Rydberg P, Karlsson P, Eriksson S, Tornqvist M (2002) Analysis of acrylamide, a carcinogen formed in heated foodstuffs. J Agric Food Chem 50:4998–5006CrossRef
3.
go back to reference Tran NL, Barraj LM, Murphy MM, Bi X (2010) Dietary acrylamide exposure and hemoglobin adducts–National Health and Nutrition Examination Survey (2003–04). Food Chem Toxicol 48:3098–3108CrossRef Tran NL, Barraj LM, Murphy MM, Bi X (2010) Dietary acrylamide exposure and hemoglobin adducts–National Health and Nutrition Examination Survey (2003–04). Food Chem Toxicol 48:3098–3108CrossRef
4.
go back to reference Doerge DR, Young JF, McDaniel LP, Twaddle NC, Churchwell MI (2005) Toxicokinetics of acrylamide and glycidamide in B6C3F1 mice. Toxicol Appl Pharmacol 202:258–267CrossRef Doerge DR, Young JF, McDaniel LP, Twaddle NC, Churchwell MI (2005) Toxicokinetics of acrylamide and glycidamide in B6C3F1 mice. Toxicol Appl Pharmacol 202:258–267CrossRef
5.
go back to reference Tornqvist M, Fred C, Haglund J, Helleberg H, Paulsson B, Rydberg P (2002) Protein adducts: quantitative and qualitative aspects of their formation, analysis and applications. J Chromatogr B Analyt Technol Biomed Life Sci 778:279–308CrossRef Tornqvist M, Fred C, Haglund J, Helleberg H, Paulsson B, Rydberg P (2002) Protein adducts: quantitative and qualitative aspects of their formation, analysis and applications. J Chromatogr B Analyt Technol Biomed Life Sci 778:279–308CrossRef
6.
go back to reference Vikstrom AC, bramsson-Zetterberg L, Naruszewicz M, Athanassiadis I, Granath FN, Tornqvist MA (2011) In vivo doses of acrylamide and glycidamide in humans after intake of acrylamide-rich food. Toxicol Sci 119:41–49 Vikstrom AC, bramsson-Zetterberg L, Naruszewicz M, Athanassiadis I, Granath FN, Tornqvist MA (2011) In vivo doses of acrylamide and glycidamide in humans after intake of acrylamide-rich food. Toxicol Sci 119:41–49
7.
go back to reference Wirfalt E, Paulsson B, Tornqvist M, Axmon A, Hagmar L (2008) Associations between estimated acrylamide intakes, and hemoglobin AA adducts in a sample from the Malmo Diet and Cancer cohort. Eur J Clin Nutr 62:314–323CrossRef Wirfalt E, Paulsson B, Tornqvist M, Axmon A, Hagmar L (2008) Associations between estimated acrylamide intakes, and hemoglobin AA adducts in a sample from the Malmo Diet and Cancer cohort. Eur J Clin Nutr 62:314–323CrossRef
8.
go back to reference Kutting B, Uter W, Drexler H (2008) The association between self-reported acrylamide intake and hemoglobin adducts as biomarkers of exposure. Cancer Causes Control 19:273–281CrossRef Kutting B, Uter W, Drexler H (2008) The association between self-reported acrylamide intake and hemoglobin adducts as biomarkers of exposure. Cancer Causes Control 19:273–281CrossRef
9.
go back to reference Wilson KM, Vesper HW, Tocco P, Sampson L, Rosen J, Hellenas KE, Tornqvist M, Willett WC (2009) Validation of a food frequency questionnaire measurement of dietary acrylamide intake using hemoglobin adducts of acrylamide and glycidamide. Cancer Causes Control 20:269–278CrossRef Wilson KM, Vesper HW, Tocco P, Sampson L, Rosen J, Hellenas KE, Tornqvist M, Willett WC (2009) Validation of a food frequency questionnaire measurement of dietary acrylamide intake using hemoglobin adducts of acrylamide and glycidamide. Cancer Causes Control 20:269–278CrossRef
10.
go back to reference Bjellaas T, Olesen PT, Frandsen H, Haugen M, Stolen LH, Paulsen JE, Alexander J, Lundanes E, Becher G (2007) Comparison of estimated dietary intake of acrylamide with hemoglobin adducts of acrylamide and glycidamide. Toxicol Sci 98:110–117CrossRef Bjellaas T, Olesen PT, Frandsen H, Haugen M, Stolen LH, Paulsen JE, Alexander J, Lundanes E, Becher G (2007) Comparison of estimated dietary intake of acrylamide with hemoglobin adducts of acrylamide and glycidamide. Toxicol Sci 98:110–117CrossRef
11.
go back to reference Pelucchi C, Galeone C, Levi F, Negri E, Franceschi S, Talamini R, Bosetti C, Giacosa A, La VC (2006) Dietary acrylamide and human cancer. Int J Cancer 118:467–471CrossRef Pelucchi C, Galeone C, Levi F, Negri E, Franceschi S, Talamini R, Bosetti C, Giacosa A, La VC (2006) Dietary acrylamide and human cancer. Int J Cancer 118:467–471CrossRef
12.
go back to reference Hogervorst JG, Baars BJ, Schouten LJ, Konings EJ, Goldbohm RA, van den Brandt PA (2010) The carcinogenicity of dietary acrylamide intake: a comparative discussion of epidemiological and experimental animal research. Crit Rev Toxicol 40:485–512CrossRef Hogervorst JG, Baars BJ, Schouten LJ, Konings EJ, Goldbohm RA, van den Brandt PA (2010) The carcinogenicity of dietary acrylamide intake: a comparative discussion of epidemiological and experimental animal research. Crit Rev Toxicol 40:485–512CrossRef
13.
go back to reference Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M, Charrondiere UR, Hemon B, Casagrande C, Vignat J, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Wahrendorf J, Boeing H, Trichopoulos D, Trichopoulou A, Vineis P, Palli D, Bueno-de-Mesquita HB, Peeters PH, Lund E, Engeset D, Gonzalez CA, Barricarte A, Berglund G, Hallmans G, Day NE, Key TJ, Kaaks R, Saracci R (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1113–1124CrossRef Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M, Charrondiere UR, Hemon B, Casagrande C, Vignat J, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Wahrendorf J, Boeing H, Trichopoulos D, Trichopoulou A, Vineis P, Palli D, Bueno-de-Mesquita HB, Peeters PH, Lund E, Engeset D, Gonzalez CA, Barricarte A, Berglund G, Hallmans G, Day NE, Key TJ, Kaaks R, Saracci R (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1113–1124CrossRef
14.
go back to reference Vesper HW, Slimani N, Hallmans G, Tjonneland A, Agudo A, Benetou V, Bingham S, Boeing H, Boutron-Ruault MC, Bueno-de-Mesquita HB, Chirlaque D, Clavel-Chapelon F, Crowe F, Drogan D, Ferrari P, Johansson I, Kaaks R, Linseisen J, Lund E, Manjer J, Mattiello A, Palli D, Peeters PH, Rinaldi S, Skeie G, Trichopoulou A, Vineis P, Wirfalt E, Overvad K, Stromberg U (2008) Cross-sectional study on acrylamide hemoglobin adducts in subpopulations from the European Prospective Investigation into Cancer and Nutrition (EPIC) Study. J Agric Food Chem 56:6046–6053CrossRef Vesper HW, Slimani N, Hallmans G, Tjonneland A, Agudo A, Benetou V, Bingham S, Boeing H, Boutron-Ruault MC, Bueno-de-Mesquita HB, Chirlaque D, Clavel-Chapelon F, Crowe F, Drogan D, Ferrari P, Johansson I, Kaaks R, Linseisen J, Lund E, Manjer J, Mattiello A, Palli D, Peeters PH, Rinaldi S, Skeie G, Trichopoulou A, Vineis P, Wirfalt E, Overvad K, Stromberg U (2008) Cross-sectional study on acrylamide hemoglobin adducts in subpopulations from the European Prospective Investigation into Cancer and Nutrition (EPIC) Study. J Agric Food Chem 56:6046–6053CrossRef
15.
go back to reference Slimani N, Kaaks R, Ferrari P, Casagrande C, Clavel-Chapelon F, Lotze G, Kroke A, Trichopoulos D, Trichopoulou A, Lauria C, Bellegotti M, Ocke MC, Peeters PH, Engeset D, Lund E, Agudo A, Larranaga N, Mattisson I, Andren C, Johansson I, Davey G, Welch AA, Overvad K, Tjonneland A, Van Staveren WA, Saracci R, Riboli E (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5:1125–1145CrossRef Slimani N, Kaaks R, Ferrari P, Casagrande C, Clavel-Chapelon F, Lotze G, Kroke A, Trichopoulos D, Trichopoulou A, Lauria C, Bellegotti M, Ocke MC, Peeters PH, Engeset D, Lund E, Agudo A, Larranaga N, Mattisson I, Andren C, Johansson I, Davey G, Welch AA, Overvad K, Tjonneland A, Van Staveren WA, Saracci R, Riboli E (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5:1125–1145CrossRef
16.
go back to reference Vesper HW, Ospina M, Meyers T, Ingham L, Smith A, Gray JG, Myers GL (2006) Automated method for measuring globin adducts of acrylamide and glycidamide at optimized Edman reaction conditions. Rapid Commun Mass Spectrom 20:959–964CrossRef Vesper HW, Ospina M, Meyers T, Ingham L, Smith A, Gray JG, Myers GL (2006) Automated method for measuring globin adducts of acrylamide and glycidamide at optimized Edman reaction conditions. Rapid Commun Mass Spectrom 20:959–964CrossRef
17.
go back to reference Mowrer J, Tornqvist M, Jensen S, Ehrenberg L (1986) Modified Edman degradation applied to hemoglobin for monitoring occupational exposure to alkylating agents. Toxicol Environ Chem 11:215–231CrossRef Mowrer J, Tornqvist M, Jensen S, Ehrenberg L (1986) Modified Edman degradation applied to hemoglobin for monitoring occupational exposure to alkylating agents. Toxicol Environ Chem 11:215–231CrossRef
18.
go back to reference Slimani N, Ferrari P, Ocke M, Welch A, Boeing H, Liere M, Pala V, Amiano P, Lagiou A, Mattisson I, Stripp C, Engeset D, Charrondiere R, Buzzard M, Staveren W, Riboli E (2000) Standardization of the 24-h diet recall calibration method used in the european prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54:900–917CrossRef Slimani N, Ferrari P, Ocke M, Welch A, Boeing H, Liere M, Pala V, Amiano P, Lagiou A, Mattisson I, Stripp C, Engeset D, Charrondiere R, Buzzard M, Staveren W, Riboli E (2000) Standardization of the 24-h diet recall calibration method used in the european prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54:900–917CrossRef
19.
go back to reference Kleinbaum D, Kupper L, Muller K (1988) Applied regression analysis and other multivariable method. Duxbury Press, Belmont Kleinbaum D, Kupper L, Muller K (1988) Applied regression analysis and other multivariable method. Duxbury Press, Belmont
20.
go back to reference Fisher RA (1970) Statistical methods for research workers. Hafner Publishing Company, Davien Fisher RA (1970) Statistical methods for research workers. Hafner Publishing Company, Davien
21.
22.
go back to reference Vikstrom AC, Wilson KM, Paulsson B, Athanassiadis I, Gronberg H, Adami HO, Adolfsson J, Mucci LA, Balter K, Tornqvist M (2010) Alcohol influence on acrylamide to glycidamide metabolism assessed with hemoglobin-adducts and questionnaire data. Food Chem Toxicol 48:820–824CrossRef Vikstrom AC, Wilson KM, Paulsson B, Athanassiadis I, Gronberg H, Adami HO, Adolfsson J, Mucci LA, Balter K, Tornqvist M (2010) Alcohol influence on acrylamide to glycidamide metabolism assessed with hemoglobin-adducts and questionnaire data. Food Chem Toxicol 48:820–824CrossRef
23.
go back to reference Vikstrom AC, Warholm M, Paulsson B, Axmon A, Wirfalt E, Tornqvist M (2012) Hemoglobin adducts as a measure of variations in exposure to acrylamide in food and comparison to questionnaire data. Food Chem Toxicol 50:2531–2539CrossRef Vikstrom AC, Warholm M, Paulsson B, Axmon A, Wirfalt E, Tornqvist M (2012) Hemoglobin adducts as a measure of variations in exposure to acrylamide in food and comparison to questionnaire data. Food Chem Toxicol 50:2531–2539CrossRef
24.
go back to reference Kaaks R, Ferrari P, Ciampi A, Plummer M, Riboli E (2002) Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr 5:969–976CrossRef Kaaks R, Ferrari P, Ciampi A, Plummer M, Riboli E (2002) Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr 5:969–976CrossRef
25.
go back to reference Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, Bingham S, Schoeller DA, Schatzkin A, Carroll RJ (2003) Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol 158:14–21CrossRef Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, Bingham S, Schoeller DA, Schatzkin A, Carroll RJ (2003) Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol 158:14–21CrossRef
26.
go back to reference Ferrari P, Roddam A, Fahey MT, Jenab M, Bamia C, Ocke M, Amiano P, Hjartaker A, Biessy C, Rinaldi S, Huybrechts I, Tjonneland A, Dethlefsen C, Niravong M, Clavel-Chapelon F, Linseisen J, Boeing H, Oikonomou E, Orfanos P, Palli D, de Santucci MM, Bueno-de-Mesquita HB, Peeters PH, Parr CL, Braaten T, Dorronsoro M, Berenguer T, Gullberg B, Johansson I, Welch AA, Riboli E, Bingham S, Slimani N (2009) A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study. Eur J Clin Nutr 63(Suppl 4):S179–S187CrossRef Ferrari P, Roddam A, Fahey MT, Jenab M, Bamia C, Ocke M, Amiano P, Hjartaker A, Biessy C, Rinaldi S, Huybrechts I, Tjonneland A, Dethlefsen C, Niravong M, Clavel-Chapelon F, Linseisen J, Boeing H, Oikonomou E, Orfanos P, Palli D, de Santucci MM, Bueno-de-Mesquita HB, Peeters PH, Parr CL, Braaten T, Dorronsoro M, Berenguer T, Gullberg B, Johansson I, Welch AA, Riboli E, Bingham S, Slimani N (2009) A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study. Eur J Clin Nutr 63(Suppl 4):S179–S187CrossRef
27.
go back to reference Kaaks R, Slimani N, Riboli E (1997) Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S26–S36 Kaaks R, Slimani N, Riboli E (1997) Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S26–S36
28.
go back to reference Willett W (1989) An overview of issues related to the correction of non-differential exposure measurement error in epidemiologic studies. Stat Med 8:1031–1040CrossRef Willett W (1989) An overview of issues related to the correction of non-differential exposure measurement error in epidemiologic studies. Stat Med 8:1031–1040CrossRef
29.
go back to reference Ferrari P, Roddam A, Fahey MT, Jenab M, Bamia C, Ocke M, Amiano P, Hjartaker A, Biessy C, Rinaldi S, Huybrechts I, Tjonneland A, Dethlefsen C, Niravong M, Clavel-Chapelon F, Linseisen J, Boeing H, Oikonomou E, Orfanos P, Palli D, de Santucci MM, Bueno-de-Mesquita HB, Peeters PH, Parr CL, Braaten T, Dorronsoro M, Berenguer T, Gullberg B, Johansson I, Welch AA, Riboli E, Bingham S, Slimani N (2009) A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study. Eur J Clin Nutr 63(Suppl 4):S179–S187CrossRef Ferrari P, Roddam A, Fahey MT, Jenab M, Bamia C, Ocke M, Amiano P, Hjartaker A, Biessy C, Rinaldi S, Huybrechts I, Tjonneland A, Dethlefsen C, Niravong M, Clavel-Chapelon F, Linseisen J, Boeing H, Oikonomou E, Orfanos P, Palli D, de Santucci MM, Bueno-de-Mesquita HB, Peeters PH, Parr CL, Braaten T, Dorronsoro M, Berenguer T, Gullberg B, Johansson I, Welch AA, Riboli E, Bingham S, Slimani N (2009) A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study. Eur J Clin Nutr 63(Suppl 4):S179–S187CrossRef
30.
go back to reference Ferrari P, Al-Delaimy WK, Slimani N, Boshuizen HC, Roddam A, Orfanos P, Skeie G, Rodriguez-Barranco M, Thiebaut A, Johansson G, Palli D, Boeing H, Overvad K, Riboli E (2005) An approach to estimate between- and within-group correlation coefficients in multicenter studies: plasma carotenoids as biomarkers of intake of fruits and vegetables. Am J Epidemiol 162:591–598CrossRef Ferrari P, Al-Delaimy WK, Slimani N, Boshuizen HC, Roddam A, Orfanos P, Skeie G, Rodriguez-Barranco M, Thiebaut A, Johansson G, Palli D, Boeing H, Overvad K, Riboli E (2005) An approach to estimate between- and within-group correlation coefficients in multicenter studies: plasma carotenoids as biomarkers of intake of fruits and vegetables. Am J Epidemiol 162:591–598CrossRef
31.
go back to reference Ferrari P, Day NE, Boshuizen HC, Roddam A, Hoffmann K, Thiebaut A, Pera G, Overvad K, Lund E, Trichopoulou A, Tumino R, Gullberg B, Norat T, Slimani N, Kaaks R, Riboli E (2008) The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models. Int J Epidemiol 37:368–378CrossRef Ferrari P, Day NE, Boshuizen HC, Roddam A, Hoffmann K, Thiebaut A, Pera G, Overvad K, Lund E, Trichopoulou A, Tumino R, Gullberg B, Norat T, Slimani N, Kaaks R, Riboli E (2008) The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models. Int J Epidemiol 37:368–378CrossRef
32.
go back to reference Ferrari P, Carroll RJ, Gustafson P, Riboli E (2008) A Bayesian multilevel model for estimating the diet/disease relationship in a multicenter study with exposures measured with error: the EPIC study. Stat Med 27:6037–6054CrossRef Ferrari P, Carroll RJ, Gustafson P, Riboli E (2008) A Bayesian multilevel model for estimating the diet/disease relationship in a multicenter study with exposures measured with error: the EPIC study. Stat Med 27:6037–6054CrossRef
33.
go back to reference Freisling H, Moskal A, Ferrari P, Nicolas G, Knaze V, Clavel-Chapelon F, Boutron-Ruault M-C, Nailler L, Teucher B, Grote V, Boeing H, Clemens M, Tjønneland A, Olsen A, Overvad K, Quirós JR, Duell EJ, Sánchez M-J, Amiano P, Chirlaque M-D, Barricarte A, Khaw K-T, Wareham NJ, Crowe FL, Gallo V, Oikonomou E, Naska A, Trichopoulou A, Palli D, Agnoli C, Tumino R, Polidoro S, Mattiello A, Bas Bueno-de-Mesquita H, Ocké MC, Peeters PHM, Wirfält E, Ericson U, Bergdahl IA, Johansson I, Hjartåker A, Engeset D, Skeie G, Riboli E, Slimani N. Dietary acrylamide exposure differs greatly across ten countries participating in the European Prospective Investigation into Cancer and Nutrition. EJN (in press) Freisling H, Moskal A, Ferrari P, Nicolas G, Knaze V, Clavel-Chapelon F, Boutron-Ruault M-C, Nailler L, Teucher B, Grote V, Boeing H, Clemens M, Tjønneland A, Olsen A, Overvad K, Quirós JR, Duell EJ, Sánchez M-J, Amiano P, Chirlaque M-D, Barricarte A, Khaw K-T, Wareham NJ, Crowe FL, Gallo V, Oikonomou E, Naska A, Trichopoulou A, Palli D, Agnoli C, Tumino R, Polidoro S, Mattiello A, Bas Bueno-de-Mesquita H, Ocké MC, Peeters PHM, Wirfält E, Ericson U, Bergdahl IA, Johansson I, Hjartåker A, Engeset D, Skeie G, Riboli E, Slimani N. Dietary acrylamide exposure differs greatly across ten countries participating in the European Prospective Investigation into Cancer and Nutrition. EJN (in press)
Metadata
Title
Challenges in estimating the validity of dietary acrylamide measurements
Authors
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
Publication date
01-08-2013
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nutrition / Issue 5/2013
Print ISSN: 1436-6207
Electronic ISSN: 1436-6215
DOI
https://doi.org/10.1007/s00394-012-0457-7

Other articles of this Issue 5/2013

European Journal of Nutrition 5/2013 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine