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

本研究旨在探讨与遗传和环境因素相关的睡眠磨牙症的结构方程模型，直观地揭示睡眠磨牙症的本质。采用临床诊断标准和3夜咬肌肌电记录资料，将99例受试者分为睡眠磨牙症组（n=59）和对照组（n=40）。采用自填问卷对环境因素进行探讨。根据SLC6A4、HTR1A、HTR2A和HTR2C基因多态性确定基因型。模型分析发现，睡眠磨牙症的改变模型与3个潜在变量有关，即睡眠调节、心理压力源和血清素能系统。模型表明，睡眠磨牙状态的r平方为0.24。拟合优度GFI= 0.910，调整后GFI= 0.868， CFI= 0.992， RMSEA= 0.022。这些可视化的结果提高了对遗传和环境潜在变量在睡眠磨牙症中的独特作用的理解。

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.