Suppr超能文献

语言与疼痛体验。

Language and the pain experience.

作者信息

Wilson Dianne, Williams Marie, Butler David

机构信息

School of Health Sciences, University of South Australia, Adelaide, South Australia.

出版信息

Physiother Res Int. 2009 Mar;14(1):56-65. doi: 10.1002/pri.424.

Abstract

BACKGROUND AND PURPOSE

People in persistent pain have been reported to pay increased attention to specific words or descriptors of pain. The amount of attention paid to pain or cues for pain (such as pain descriptors), has been shown to be a major factor in the modulation of persistent pain. This relationship suggests the possibility that language may have a role both in understanding and managing the persistent pain experience. The aim of this paper is to describe current models of neuromatrices for pain and language, consider the role of attention in persistent pain states and highlight discrepancies, in previous studies based on the McGill Pain Questionnaire (MPQ), of the role of attention on pain descriptors. The existence of a pain neuromatrix originally proposed by Melzack (1990) has been supported by emerging technologies. Similar technologies have recently allowed identification of multiple areas of involvement for the processing of auditory input and the construction of language. As with the construction of pain, this neuromatrix for speech and language may intersect with neural systems for broader cognitive functions such as attention, memory and emotion.

METHOD

A systematic search was undertaken to identify experimental or review studies, which specifically investigated the role of attention on pain descriptors (as cues for pain) in persistent pain patients. A total of 99 articles were retrieved from six databases, with 66 articles meeting the inclusion criteria. After duplicated articles were eliminated, the remaining 41 articles were reviewed in order to support a link between persistent pain, pain descriptors and attention.

RESULTS

This review revealed a diverse range of specific pain descriptors, the majority of which were derived from the MPQ. Increased attention to pain descriptors was consistently reported to be associated with emotional state as well as being a significant factor in maintaining persistent pain. However, attempts to investigate the attentional bias of specific pain descriptors highlighted discrepancies between the studies. As well as the diversity of pain descriptors used in studies, they were inconsistently categorized into domains of pain. A lack of consistent bias towards certain pain descriptors was observed, and may be explained simply by the fact that the words provided are not those which subjects themselves would use.

CONCLUSION

These findings suggest that the multidimensional and individual nature of the persistent pain experience may not be adequately explained by pain questionnaires such as the MPQ. Personalized pain descriptors may communicate the pain experience more appropriately, but may also contribute to an increased sensitivity of cortical pain processing areas by capturing increased attention for that individual. The language used as part of communication between therapists and people with persistent pain may provide an, as yet, unexplored adjunct strategy in management.

摘要

背景与目的

据报道,处于持续性疼痛中的人会更加关注疼痛的特定词汇或描述词。对疼痛或疼痛线索(如疼痛描述词)的关注程度已被证明是持续性疼痛调节的一个主要因素。这种关系表明,语言在理解和管理持续性疼痛体验方面可能发挥作用。本文旨在描述当前疼痛与语言的神经矩阵模型,探讨注意力在持续性疼痛状态中的作用,并突出以往基于麦吉尔疼痛问卷(MPQ)的研究中,注意力对疼痛描述词作用的差异。梅尔扎克(1990年)最初提出的疼痛神经矩阵的存在已得到新兴技术的支持。类似技术最近已能识别处理听觉输入和构建语言的多个参与区域。与疼痛构建一样,这个言语和语言神经矩阵可能与更广泛认知功能(如注意力、记忆和情感)的神经系统相交。

方法

进行系统检索以识别专门研究注意力对持续性疼痛患者疼痛描述词(作为疼痛线索)作用的实验性或综述性研究。从六个数据库中检索到99篇文章,其中66篇符合纳入标准。剔除重复文章后,对其余41篇文章进行综述,以支持持续性疼痛、疼痛描述词和注意力之间的联系。

结果

本综述揭示了各种各样的特定疼痛描述词,其中大多数源自MPQ。研究一致报告称,对疼痛描述词的更多关注与情绪状态相关,并且是维持持续性疼痛的一个重要因素。然而,对特定疼痛描述词注意力偏差的研究尝试突出了各研究之间的差异。除了研究中使用的疼痛描述词多样外,它们在疼痛领域的分类也不一致。未观察到对某些疼痛描述词存在一致的偏差,这可能仅仅是因为所提供的词汇并非受试者自己会使用的词汇。

结论

这些发现表明,诸如MPQ之类的疼痛问卷可能无法充分解释持续性疼痛体验的多维性和个体性。个性化的疼痛描述词可能更恰当地传达疼痛体验,但也可能通过吸引个体更多的注意力,导致皮质疼痛处理区域的敏感性增加。治疗师与持续性疼痛患者交流时使用的语言,可能是一种尚未被探索的辅助管理策略。

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