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. 2021 Aug 23;11:17050. doi: 10.1038/s41598-021-95688-y

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© The Author(s) 2021

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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Cluster analysis including validation methods, distribution measures with ANOVA for adipocyte size, magnetic spectroscopy for visceral and ectopic liver fat, and insulin- and glucometabolic predictors. K-means clustering with validation methods revealed that 2 to 3 unique clusters were optimal for this dataset. Thereafter, mean values for predictors of interest in this study was examined and ANOVA was performed to identify significant differences in mean values.