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预测牙科焦虑症。焦虑问卷的临床价值:一项探索性研究。

Predicting dental anxiety. The clinical value of anxiety questionnaires: an explorative study.

作者信息

Klaassen M, Veerkamp J, Hoogstraten J

机构信息

Department of Cariology, Endodontology, Pedodontology Academic Centre of Dentistry (ACTA) Amsterdam, The Netherlands.

出版信息

Eur J Paediatr Dent. 2003 Dec;4(4):171-6.

PMID:14725498
Abstract

AIM

This was to explore the usefulness of the Dental Subscale of the Children's Fear Survey Schedule (CFSS-DS) and the Child Behaviour Checklist (CBCL), used prior to treatment, in relation to the actual behaviour displayed during treatment.

METHODS

The study group was 26 children, referred to a special dental care clinic for behaviour management problems, mostly caused by dental fear. Questionnaires used were the parent versions of the Dental Subscale of the Children's Fear Survey Schedule (CFSS-DS) and the Child Behaviour Checklist (CBCL). Behaviour was registered on videotape and scored by independent observers using the modified Venham scale. Treatment consisted of a familiarization visit and two restorative sessions.

RESULTS

There was a significant reduction in fear, based on pre and post treatment CFSS-DS scores, and also the child's fearful behaviour during the two restorative sessions appeared to be related. But no correlation was found between the CFSS-DS and the CBCL, nor between the CFSS-DS and the behaviour displayed during the treatment sessions.

CONCLUSION

The child's anxious behaviour during actual restorative dental treatment is not so much related to its own anticipatory dental anxiety or the anxiety of the mother. Results support the role of a multifactorial model.

摘要

目的

本研究旨在探讨在治疗前使用儿童恐惧调查表牙科分量表(CFSS-DS)和儿童行为量表(CBCL)与治疗期间实际表现出的行为之间的关系。

方法

研究组为26名儿童,他们因行为管理问题被转诊至一家特殊牙科护理诊所,这些问题大多由牙科恐惧引起。使用的问卷是儿童恐惧调查表牙科分量表(CFSS-DS)和儿童行为量表(CBCL)的家长版。行为通过录像记录,并由独立观察员使用改良的韦纳姆量表进行评分。治疗包括一次熟悉就诊和两次修复治疗。

结果

根据治疗前后的CFSS-DS评分,恐惧有显著降低,并且儿童在两次修复治疗期间的恐惧行为似乎也有关联。但未发现CFSS-DS与CBCL之间、CFSS-DS与治疗期间表现出的行为之间存在相关性。

结论

儿童在实际牙齿修复治疗期间的焦虑行为与其自身预期的牙科焦虑或母亲的焦虑关系不大。结果支持多因素模型的作用。

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