Machine Learning With Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018
Specific ingredients, selected from a food tree, performed as well as the DII in predicting systemic inflammation. Choice of common foods and beverages associated with inflammation varied in magnitude and direction, consistent with previous studies that have demonstrated pro- and anti-inflammatory responses to these dietary components.
Authors
- Jules A Larke
- Danielle G. Lemay (ORCID: https://orcid.org/0000-0003-3318-0485)
Institutions
- Western Human Nutrition Research Center (US)
Publication Details
- Journal
- Journal of the Academy of Nutrition and Dietetics
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1016/j.jand.2025.05.012
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute of Food and Agriculture
- Agricultural Research Service