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Data were analyzed using the Statistical Package for Social Sciences, Version 22.0 [12]. Descriptive variables were reported (numbers, percentages, means with standard deviations) for all variables. Pearson’s bivariate correlation analysis was used to assess correlations between demographic variables and the survey scores (MMQ, BDEFS-SF, etc.) and between the survey scores themselves. The significance level was set at 0.05. Separate multiple linear regressions were conducted to predict the impact of perceived cognitive function on quality of life and A1C.
Copyright and License information: The Author(s). ©2017
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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