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Identification of a Sleep Bruxism Subgroup with a Higher Risk of Pain

P.H. Rompré1, D. Daigle-Landry1, F. Guitard1, J.Y. Montplaisir2, and G.J. Lavigne1,2,*

1 Faculty of Dental Medicine, Université de Montréal, C.P. 6128, succ. Centre-Ville, Montréal, Canada, H3C 3J7; and
2 Centre d’étude du sommeil et des rythmes biologiques, Hôpital du Sacré-Coeur, Canada


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  		Figure. Subgroups identified by cluster analysis based on sleep bruxism frequency. (a) Sleep bruxers were divided into three clusters: low (n = 49), moderate (n = 37), and high (n = 13). (b) Control individuals were divided into two clusters: low (n = 34) and high (n = 8). Box plots combined with symmetrical dot densities are shown. Dotted lines indicate cut-off values of the SB-RDC.

 




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