Suppr超能文献

自主神经系统反应量表(ANSRI):心理生理反应的预测

The Autonomic Nervous System Response Inventory (ANSRI): prediction of psychophysiological response.

作者信息

Waters W F, Bernard B A, Buco S M

机构信息

Department of Psychology, Louisiana State University, Baton Rouge 70803.

出版信息

J Psychosom Res. 1989;33(3):347-61. doi: 10.1016/0022-3999(89)90025-1.

Abstract

An experiment was conducted to test the validity of the ANSRI by determining whether self-report of physiological response to emotion-provoking imagery could predict individuals' patterns of physiological response to the same imagery. Fifty two undergraduate volunteers completed the ANSRI and, 2 weeks later, reconstructed their original imagery (fear, anger, sadness, joy, activity situations) while seven physiological response systems were recorded polygraphically. The ANSRI scales for a condition (e.g. fear) were entered as predictors of each electrophysiological measure recorded under that condition in Stepwise Multiple Regression Analyses. Forty-nine percent of the analyses were statistically significant (mean R = 0.52; 27% of the variance). Every electrophysiological variable was significantly predicted by the ANSRI's scales under at least one imagery condition, or by using the mean response to items across the five conditions. Cardiovascular, respiration and electrodermal measures were predicted best. Every ANSRI P scale corresponding to an electrophysiological measure was a major variable in the significant prediction of that measure in at least one condition.

摘要

通过确定对引发情绪的意象的生理反应的自我报告是否能够预测个体对相同意象的生理反应模式,进行了一项实验来检验自动神经系统反应指数(ANSRI)的有效性。52名本科志愿者完成了自动神经系统反应指数测试,两周后,他们重新构建了原来的意象(恐惧、愤怒、悲伤、喜悦、活动场景),同时用测谎仪记录了七个生理反应系统。在逐步多元回归分析中,将某一情境(如恐惧)下的自动神经系统反应指数量表作为该情境下记录的每项电生理指标的预测因子。49%的分析具有统计学意义(平均R = 0.52;方差的27%)。在至少一种意象情境下,或者通过使用五种情境下各项的平均反应,自动神经系统反应指数量表能显著预测每一项电生理变量。心血管、呼吸和皮肤电测量的预测效果最佳。与电生理指标对应的每个自动神经系统反应指数P量表在至少一种情境下都是该指标显著预测中的主要变量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验