Nutrition Journal (Feb 2020)

Variations in the estimated intake of acrylamide from food in the Japanese population

  • Kumiko Kito,
  • Junko Ishihara,
  • Junpei Yamamoto,
  • Takayuki Hosoda,
  • Ayaka Kotemori,
  • Ribeka Takachi,
  • Kazutoshi Nakamura,
  • Junta Tanaka,
  • Taiki Yamaji,
  • Taichi Shimazu,
  • Yuri Ishii,
  • Norie Sawada,
  • Motoki Iwasaki,
  • Hiroyasu Iso,
  • Tomotaka Sobue,
  • Shoichiro Tsugane

DOI
https://doi.org/10.1186/s12937-020-00534-y
Journal volume & issue
Vol. 19, no. 1
pp. 1 – 9

Abstract

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Abstract Background Due to concerns of carcinogenicity, it is necessary to assess long-term acrylamide exposure in individuals. Whether the available methods of estimating acrylamide intake can indicate long-term exposure remains unknown. We examined variations in the estimated dietary acrylamide intake of the Japanese population. Methods The study included 240 participants aged 40–74 years who were a part of the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT). Twelve-day dietary records (DRs) were collected over a one-year period, and food frequency questionnaires (FFQs) were collected twice during the year. Dietary acrylamide intake was estimated from an acrylamide content database. Within-individual variations and between-individual variations were calculated using the random effects model. A linear regression analysis was performed to identify foods with large between-individual variations. Results The ratios of within-individual variance to between-individual variation were 3.2 for men and 4.3 for women. Days of DRs required to estimate the usual individual intake within 20% of the true mean intake with 95% confidence were 60 days for men and 66 days for women. Coffee/cocoa, potato, and green tea contributed to between-individual variations, in that order, and seven foods contributed to 93% of the between-individual variation. Conclusions Estimating the acrylamide intake using DRs requires an extended data collection period to estimate the intragroup ranking and habitual intake of individuals. Long-term exposure assessments should be based on methods with less potential for measurement errors, such as the use of biomarkers.

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