| Title |
Dietary and lifestyle determinants of acrylamide and glycidamide hemoglobin adducts in non-smoking postmenopausal women from the EPIC cohort
|
|---|---|
| Published in |
European Journal of Nutrition, February 2016
|
| DOI | 10.1007/s00394-016-1165-5 |
| Pubmed ID | |
| Authors |
Mireia Obón-Santacana, Leila Lujan-Barroso, Heinz Freisling, Claire Cadeau, Guy Fagherazzi, Marie-Christine Boutron-Ruault, Rudolf Kaaks, Renée T. Fortner, Heiner Boeing, J. Ramón Quirós, Esther Molina-Montes, Saioa Chamosa, José María Huerta Castaño, Eva Ardanaz, Kay-Tee Khaw, Nick Wareham, Tim Key, Antonia Trichopoulou, Pagona Lagiou, Androniki Naska, Domenico Palli, Sara Grioni, Rosario Tumino, Paolo Vineis, Maria Santucci De Magistris, H. B. Bueno-de-Mesquita, Petra H. Peeters, Maria Wennberg, Ingvar A. Bergdahl, Hubert Vesper, Elio Riboli, Eric J. Duell |
| Abstract |
Acrylamide was classified as 'probably carcinogenic' to humans in 1994 by the International Agency for Research on Cancer. In 2002, public health concern increased when acrylamide was identified in starchy, plant-based foods, processed at high temperatures. The purpose of this study was to identify which food groups and lifestyle variables were determinants of hemoglobin adduct concentrations of acrylamide (HbAA) and glycidamide (HbGA) in 801 non-smoking postmenopausal women from eight countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Biomarkers of internal exposure were measured in red blood cells (collected at baseline) by high-performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS) . In this cross-sectional analysis, four dependent variables were evaluated: HbAA, HbGA, sum of total adducts (HbAA + HbGA), and their ratio (HbGA/HbAA). Simple and multiple regression analyses were used to identify determinants of the four outcome variables. All dependent variables (except HbGA/HbAA) and all independent variables were log-transformed (log2) to improve normality. Median (25th-75th percentile) HbAA and HbGA adduct levels were 41.3 (32.8-53.1) pmol/g Hb and 34.2 (25.4-46.9) pmol/g Hb, respectively. The main food group determinants of HbAA, HbGA, and HbAA + HbGA were biscuits, crackers, and dry cakes. Alcohol intake and body mass index were identified as the principal determinants of HbGA/HbAA. The total percent variation in HbAA, HbGA, HbAA + HbGA, and HbGA/HbAA explained in this study was 30, 26, 29, and 13 %, respectively. Dietary and lifestyle factors explain a moderate proportion of acrylamide adduct variation in non-smoking postmenopausal women from the EPIC cohort. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 67% |
| United States | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 18% |
| Researcher | 12 | 14% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 6 | 7% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 28 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 14% |
| Medicine and Dentistry | 11 | 13% |
| Nursing and Health Professions | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Environmental Science | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 36 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2023.
All research outputs
#4,120,905
of 25,109,675 outputs
Outputs from European Journal of Nutrition
#876
of 2,570 outputs
Outputs of similar age
#68,077
of 408,916 outputs
Outputs of similar age from European Journal of Nutrition
#26
of 56 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,570 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 65% of its peers.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.