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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 détude 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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Journal of Dental Research, Vol. 86, No. 9,
837-842 (2007)
DOI: 10.1177/154405910708600906

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