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. 2021 Jun 23;12(7):2059–2075. doi: 10.1007/s13300-021-01095-x

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/.

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Fig. 3 — Correlations between frequency of use and changes in HbA_1c and BMI. With: solid lines for non-parametric (Lowess) models and dashed lines for linear models. Since the correlations are graphically linear, the following are presented: ρ, Pearson correlation coefficient, with confidence intervals estimated by bootstrapping (1000 replications) and p value by the Pearson correlation coefficient test.