Rossi Debora, Manfredini Daniele
Faculty of Primary School Formative Sciences, University of Florence, Italy.
J Orofac Pain. 2013 Spring;27(2):135-41. doi: 10.11607/jop.1057.
To identify potential predictors of self-reported sleep bruxism (SB) within children's family and school environments.
A total of 65 primary school children (55.4% males, mean age 9.3 ± 1.9 years) were administered a 10-item questionnaire investigating the prevalence of self-reported SB as well as nine family and school-related potential bruxism predictors. Regression analyses were performed to assess the correlation between the potential predictors and SB.
A positive answer to the self-reported SB item was endorsed by 18.8% of subjects, with no sex differences. Multiple variable regression analysis identified a final model showing that having divorced parents and not falling asleep easily were the only two weak predictors of self-reported SB. The percentage of explained variance for SB by the final multiple regression model was 13.3% (Nagelkerke's R² = 0.133). While having a high specificity and a good negative predictive value, the model showed unacceptable sensitivity and positive predictive values. The resulting accuracy to predict the presence of self-reported SB was 73.8%.
The present investigation suggested that, among family and school-related matters, having divorced parents and not falling asleep easily were two predictors, even if weak, of a child's self-report of SB.
确定儿童家庭和学校环境中自我报告的磨牙症（SB）的潜在预测因素。
对65名小学生（55.4%为男性，平均年龄9.3±1.9岁）进行了一项包含10个条目的问卷调查，调查自我报告的SB患病率以及9个与家庭和学校相关的潜在磨牙症预测因素。进行回归分析以评估潜在预测因素与SB之间的相关性。
18.8%的受试者对自我报告的SB项目给出肯定回答，无性别差异。多元变量回归分析确定了一个最终模型，表明父母离异和入睡困难是自我报告的SB仅有的两个弱预测因素。最终多元回归模型对SB的解释方差百分比为13.3%（Nagelkerke's R² = 0.133）。该模型虽然具有高特异性和良好的阴性预测值，但敏感性和阳性预测值不可接受。预测自我报告的SB存在的准确率为73.8%。
本研究表明，在与家庭和学校相关的因素中，父母离异和入睡困难是儿童自我报告SB的两个预测因素，尽管作用较弱。
