2019
DOI: 10.1111/joor.12822
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Individual factors associated with masticatory performance of complete denture wearers: A cross‐sectional study

Abstract: Aim The aim of this study was to assess whether differences in inter‐individual clinical and prosthodontic variables affect masticatory performance (MP) of edentulous subjects who received new complete dentures. Materials and methods There were 204 edentulous participants who received new maxillary and mandibular complete dentures between October 2014 and March 2018 at a university clinic. MP was measured by a mixing ability test with a two‐coloured chewing gum for 20 and 50 chewing cycles. The outcome variabl… Show more

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Cited by 24 publications
(31 citation statements)
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“…In addition to MBF, other factors have been reported to influence CF, such as the number of occluding teeth, gender, age, MTP and shorter time since denture delivery 17,38,39 . Schimmel et al 19 also reported that CF could be predicted from age and MBF in a group of implant overdenture wearers with another gum (Lotte™, Tokyo, Japan), but not with the Vivident gum.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to MBF, other factors have been reported to influence CF, such as the number of occluding teeth, gender, age, MTP and shorter time since denture delivery 17,38,39 . Schimmel et al 19 also reported that CF could be predicted from age and MBF in a group of implant overdenture wearers with another gum (Lotte™, Tokyo, Japan), but not with the Vivident gum.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, future studies are needed to analyze the relationship between these variables after a longer adaption period with both rehabilitation types, to assess whether the adaptation time can influence the results. Some studies have shown that the BF and MP of CCD users can improve gradually over time (21,(27)(28)(29). Clinical studies should also strive for equal gender distributions in the sample population and larger sample sizes to enable assessment of subtler (gender-related) effects.…”
Section: Discussionmentioning
confidence: 99%
“…The image pairs were analysed using the ViewGum © software (dHAL Software, Greece, http://www.dhal.com) to measure the variance of the hue (VOH) as the measure of colour mixing. The VOH value ranges from 0 to 1, and the smaller the VOH value, the greater is the colour mixing, which means better chewing function (Leles et al., 2019; Silva et al., 2018).…”
Section: Methodsmentioning
confidence: 99%