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. 2024 Jun 13;14:13630. doi: 10.1038/s41598-024-64561-z

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Leave-one-out cross validation (LOOCV) predictions using all metabolomics data for selected traits. Older age was strongly related to the metabolomics data with no differences between the LIFE and CON groups (r = 0.80, p = value = 5e−24). LIFE and CON group membership was strongly predicted using the plasma metabolomics data for three different body composition outcomes including BMI (r = 0.84, p-value = 3e−29), percent body fat (r = 0.80, p-value = 7e−24), and the sagittal abdominal diameter (SAD) (r = 0.82, p-value = 6e−27), and moderately predicted for the average number of daily servings of fruits and vegetables combined (r = 0.66, p-value = 3e−14), and the days per week for moderate-to-vigorous physical activity (MVPA) (r = 0.68, p-value = 4e−15).