Disease Markers

Disease Markers / 2019 / Article

Corrigendum | Open Access

Volume 2019 |Article ID 5454602 | https://doi.org/10.1155/2019/5454602

Mariana C. Calle, Catherine J. Andersen, "Corrigendum to “Assessment of Dietary Patterns Represents a Potential, Yet Variable, Measure of Inflammatory Status: A Review and Update”", Disease Markers, vol. 2019, Article ID 5454602, 1 page, 2019. https://doi.org/10.1155/2019/5454602

Corrigendum to “Assessment of Dietary Patterns Represents a Potential, Yet Variable, Measure of Inflammatory Status: A Review and Update”

Received02 Jul 2019
Accepted08 Jul 2019
Published03 Sep 2019

In the article titled “Assessment of Dietary Patterns Represents a Potential, Yet Variable, Measure of Inflammatory Status: A Review and Update” [1], the authors did not use the most updated acronym when referring to the Empirical Dietary Inflammatory Index (EDII) [2], as it is now referred to as the Empirical Dietary Inflammatory Pattern (EDIP) [3], which is distinct from the energy-adjusted DII® (E-DII).

In Section 2.3, Diet Inflammatory Index (DII), the authors mentioned that the Dietary Inflammatory Index (DII) uses a principal component analysis to categorize an individual’s diet as anti- or proinflammatory, based on the capacity of diets to modulate systemic inflammatory biomarkers. However, it was not derived by using principal component analysis. This should be corrected as follows:

“The population-based DII® represents a refined scoring algorithm based on extensive review of the literature and construction of a global reference database to assess the inflammatory potential of the diet [4].”

References

  1. M. C. Calle and C. J. Andersen, “Assessment of dietary patterns represents a potential, yet variable, measure of inflammatory status: a review and update,” Disease Markers, vol. 2019, Article ID 3102870, 13 pages, 2019. View at: Publisher Site | Google Scholar
  2. F. K. Tabung, S. A. Smith-Warner, J. E. Chavarro et al., “Development and validation of an empirical dietary inflammatory index,” The Journal of Nutrition, vol. 146, no. 8, pp. 1560–1570, 2016. View at: Publisher Site | Google Scholar
  3. F. K. Tabung, S. A. Smith-Warner, J. E. Chavarro et al., “An empirical dietary inflammatory pattern score enhances prediction of circulating inflammatory biomarkers in adults,” The Journal of Nutrition, vol. 147, no. 8, pp. 1567–1577, 2017. View at: Publisher Site | Google Scholar
  4. N. Shivappa, S. E. Steck, T. G. Hurley, J. R. Hussey, and J. R. Hébert, “Designing and developing a literature-derived, population-based dietary inflammatory index,” Public Health Nutrition, vol. 17, no. 8, pp. 1689–1696, 2014. View at: Publisher Site | Google Scholar

Copyright © 2019 Mariana C. Calle and Catherine J. Andersen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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