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. 2016 Feb 9;16:15. doi: 10.1186/s12903-016-0166-3

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© Åkesson et al. 2016

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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Fig. 1 — Column loading plot from PLS modelling of DMF surfaces at baseline. DMFS (continuous measure) was employed as the dependent variable and factors potentially associated with the risk of developing caries were the independent variables. The strength and directions of the associations are shown as PLS correlation coefficients on the y-axis. Factors with 95 % CIs that do not include zero are statistically significant. Those with PLS coefficients >0 are associated with more caries (to the left; i.e., the higher the age, the higher the caries score) and those with negative coefficients are associated with fewer caries (to the right; i.e., the higher the PCS score, the lower the caries score)