基础医学与临床 ›› 2024, Vol. 44 ›› Issue (5): 705-708.doi: 10.16352/j.issn.1001-6325.2024.05.0705

• 临床研究 • 上一篇    下一篇

基于生理指标的儿童牙科恐惧与焦虑的评估模型

张鹏1, 张宇阳2, 王非2, 李西营3*   

  1. 1.国家儿童医学中心 首都医科大学附属北京儿童医院 口腔科,北京 100045;
    2.清华大学 社会科学学院心理学系,北京 100084;
    3.陕西师范大学 现代教学技术教育部重点实验室,陕西 西安 710119
  • 收稿日期:2024-02-26 修回日期:2024-03-22 出版日期:2024-05-05 发布日期:2024-04-23
  • 通讯作者: *flylee@snnu.edu.cn

Assessment models of dental fear and anxiety in children based on psysiological data

ZHANG Peng1, ZHANG Yuyang2, WANG Fei2, LI Xiying3*   

  1. 1. Department of Stomatology, Beijing Children′s Hospital, Capital Medical University, National Center for Children′s Health, Beijing 100045;
    2. Department of Psychology, School of Social Sciences, Tsinghua University, Beijing 100084;
    3. Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi′an 710119, China
  • Received:2024-02-26 Revised:2024-03-22 Online:2024-05-05 Published:2024-04-23
  • Contact: *flylee@snnu.edu.cn

摘要: 目的 探索口腔治疗场景下患者恐惧焦虑情绪所伴随的神经生理表征,并构建一种基于生理指标的儿童牙科恐惧与焦虑(DFA)的评估模型。方法 纳入在北京儿童医院口腔科就诊的166例14周岁以下儿童。采用改良中文版儿童畏惧调查表-牙科分量表(CFSS-DS)评定儿童DFA得分。使用腕式生理数据采集设备对儿童患者就诊期间的心率(HR)和皮肤电(GSR)进行全程连续测量。用重复测量方差分析对治疗前、中和后的生理数据进行差异检验;用皮尔逊( Pearson)相关分析对治疗前、中和后的生理数据与CFSS-DS分数做相关分析;建立最小绝对收缩和选择算法(LASSO)回归模型对儿童牙科恐惧与焦虑进行评估,用留一法(LOO)进行交叉验证。结果 生理数据各维度在治疗前、中和后的变化差异显著(P<0.05);LASSO模型预测值与CFSS-DS原始分数之间皮尔逊相关系数r=0.30,P<0.05,说明本模型有较好的预测准确性。结论 评估模型可以实现对儿童牙科恐惧与焦虑的客观、自动化的测量。

关键词: 牙科恐惧与焦虑, 生理测量, 心率, 皮肤电反应

Abstract: Objective To explore the neurophysiological responses of patients′ fear in real treatment scenarios, and to construct a assessment model of children′s dental fear and anxiety (DFA) based on physiological data. Methods Totally 166 children under the age of 14 who received treatment at the Beijing Children′s Hospital Department of Stomatology were included in the study. The Chinese version of the modified Children′s Fear Survey Schedule-Dental Subscale (CFSS-DS) was used to assess dental fear and anxiety scores in children. A wrist-worn physiological data collection device was used to continuously measure subjects′ heart rate (HR) and galvanic skin response (GSR) during the treatment. Repeated measures analysis of variance was used to test for differences in physiological data before, during and after treatment. Pearson′s correlation analysis was used to analyze the relationship between physiological data and CFSS-DS scores before, during, and after treatment. A Least Absolute Shrinkage and Selection Operator(LASSO) regression model was established to assess dental fear and anxiety among children, and Leave-One-Out (LOO) was used for cross-validation. Results There were significant differences in the changes of each dimension of physiological data before, during, and post treatment(P<0.05). The Pearson′s correlation coefficient (r) between the LASSO model predictive values and the CFSS-DS scores was 0.30 (P<0.05), which indicated a good predictive accuracy of the model. Conclusions The assessment model might achieve objective and automated measurement of dental fear and anxiety in children.

Key words: dental fear/anxiety, physiological measurement, heart rate, galvanic skin reaction

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