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. 2017 Jul 10;7:4993. doi: 10.1038/s41598-017-05091-9

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© The Author(s) 2017

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Correlation propensity between keywords, associated with the risk factors, contributing to model scenarios without and with self-diagnosis variable (ISB), and generic search term ‘diabetes’. Fisher-transformed rs indicate stronger correlation trends for the case of the modeling scenario, comprising self-diagnosis variable (‘With ISB’), leading to the conclusion that self-diagnosis can be seen as a mediator for highlighting more dynamic behavioural and lifestyle risk factors. Data source: Google Trends.