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

本研究旨在探讨磨牙症与遗传及环境因素的结构方程模型，并探讨磨牙症的本质。根据临床诊断标准和3个夜晚的咬肌肌电记录数据，将99例受试者分为夜磨牙症组（n=59）和对照组（n=40）。环境因素采用自填式问卷调查。根据SLC6A4、HTR1A、HTR2A和HTR2C基因多态性确定基因型。模型分析发现，磨牙症的睡眠模式改变与睡眠调节、心理应激和神经系统3个潜在变量有关。该模型阐明了夜磨牙症状态的R平方为0.24。拟合优度显示GFI= 0.910，调整后的GFI= 0.868，CFI= 0.992和RMSEA= 0.022。这些可视化的结果提高了对遗传和环境潜变量对睡眠磨牙症的不同作用的理解。

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.