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非精神病性思维障碍:语言模式中躯体化和反社会人格的客观临床识别

Nonpsychotic thought disorder: objective clinical identification of somatization and antisocial personality in language patterns.

作者信息

North C S, Hansen K, Wetzel R D, Compton W, Napier M, Spitznagel E L

机构信息

Department of Psychiatry, Washington University, St Louis, MO 63110, USA.

出版信息

Compr Psychiatry. 1997 May-Jun;38(3):171-8. doi: 10.1016/s0010-440x(97)90071-7.

Abstract

This report describes a new method of using language patterns to identify somatization and antisocial personality (ASPD) disorders in clinical practice. A set of definitions describing characteristic speech patterns was developed to identify "nonpsychotic thought disorder" (NPTD). Speech patterns of subjects with somatization disorder and/or ASPD were compared with those of controls. Blind raters assessed audiotaped samples of speech obtained through open-ended interviews for instances of elements of NPTD. Women with somatization or ASPD had significantly more NPTD speech responses than controls, and women with both disorders showed the greatest amount. Antisocial men did not demonstrate more NPTD than controls, nor was somatization in men associated with NPTD. Clinical attention to speech patterns in patients may help alert clinicians to these disorders in women and serve as indicators for screening for these disorders. More study is needed to develop psychometric properties of the instruments on larger samples, and to identify speech indicators of personality disorder in men. It is likely that other personality disorders, e.g., borderline personality disorder, can be identified through speech patterns, and they deserve study with these methods.

摘要

本报告描述了一种在临床实践中利用语言模式识别躯体化障碍和反社会人格障碍(ASPD)的新方法。开发了一组描述特征性言语模式的定义,以识别“非精神病性思维障碍”(NPTD)。将患有躯体化障碍和/或ASPD的受试者的言语模式与对照组进行比较。盲法评分者评估通过开放式访谈获得的言语录音样本,以寻找NPTD要素的实例。患有躯体化障碍或ASPD的女性比对照组有明显更多的NPTD言语反应,同时患有这两种障碍的女性表现出的数量最多。反社会男性并没有比对照组表现出更多的NPTD,男性的躯体化也与NPTD无关。临床关注患者的言语模式可能有助于提醒临床医生注意女性中的这些障碍,并作为筛查这些障碍的指标。需要更多的研究来在更大样本上开发这些工具的心理测量特性,并确定男性人格障碍的言语指标。很可能其他人格障碍,例如边缘型人格障碍,也可以通过言语模式识别出来,值得用这些方法进行研究。

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