Structural equation modeling of interactions between serotonergic gene polymorphisms and environmental factors on sleep bruxism.

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The aim of this study was to investigate the structural equation model of sleep bruxism associated with genetic and environmental factors and visualize the nature of sleep bruxism. 99 subjects were divided into sleep bruxism group (n=59) and control group (n=40) with the use of a clinical diagnostic criteria and 3 nights masseter EMG recording data. The environmental factors were explored with self-administered questionnaires. The genotype was determined on the polymorphism of SLC6A4, HTR1A, HTR2A and HTR2C. The modeling analysis found that an altered model of sleep bruxism related to 3 latent variables defined as sleep regulation, psychological stressor, and serotonergic system. The model elucidated that the R-square of sleep bruxism status was 0.24. The goodness-of-fit showed GFI= 0.910, adjusted GFI= 0.868, CFI= 0.992 and RMSEA= 0.022. These visualized results improve understanding of the distinct role of genetic and environmental latent variables on sleep bruxism.