Suppr超能文献

The child version of the pain catastrophizing scale (PCS-C): a preliminary validation.

作者信息

Crombez Geert, Bijttebier Patricia, Eccleston Chris, Mascagni Tamara, Mertens Gustaaf, Goubert Liesbet, Verstraeten Katrien

机构信息

Department of Experimental Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000 Ghent, Belgium Research Institute for Psychology and Health, Utrecht, The Netherlands Department of Psychology, University of Leuven, Leuven, Belgium Pain Management Unit, University of Bath, Bath, UK University Hospital Gasthuisberg, University of Leuven, Leuven, Belgium.

出版信息

Pain. 2003 Aug;104(3):639-646. doi: 10.1016/S0304-3959(03)00121-0.

Abstract

Catastrophizing about pain has emerged as a critical variable in how we understand adjustment to pain in both adults and children. In children, however, current methods of measuring catastrophizing about pain rely on brief subscales of larger coping inventories. Therefore, we adapted the Pain Catastrophizing Scale (Sullivan et al., 1995) for use in children, and investigated its construct and predictive validity in two studies. Study 1 revealed that in a community sample (400 boys, 414 girls; age range between 8 years 9 months and 16 years 5 months) the Pain Catastrophizing Scale for Children (PCS-C) assesses the independent but strongly related dimensions of rumination, magnification and helplessness that are subsumed under the higher-order construct of pain catastrophizing. This three factor structure is invariant across age groups and gender. Study 2 revealed in a clinical sample of children with chronic or recurrent pain (23 girls, 20 boys; age range between 8 years 3 months and 16 years 6 months) that catastrophizing about pain had a unique contribution in predicting pain intensity beyond gender and age, and in predicting disability, beyond gender, age and pain intensity. The function of pain catastrophizing is discussed in terms of the facilitation of escape from pain, and of the communication of distress to significant others.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验