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克隆宁格气质维度之间的相互关联——一项元分析。

Inter-correlations between Cloninger's temperament dimensions-- a meta-analysis.

作者信息

Miettunen Jouko, Lauronen Erika, Kantojärvi Liisa, Veijola Juha, Joukamaa Matti

机构信息

Department of Psychiatry, Oulu University and Oulu University Hospital, PO Box 5000, Oulu, Finland.

出版信息

Psychiatry Res. 2008 Jul 15;160(1):106-14. doi: 10.1016/j.psychres.2007.05.003. Epub 2008 May 29.

Abstract

The Temperament and Character Inventory (TCI) was developed to measure the following temperament dimensions: novelty seeking (NS), harm avoidance (HA), reward dependence (RD) and persistence (P). These four dimensions of temperament were originally proposed to be independent of one another. In this study the inter-relationships between the dimensions were studied with meta-analytic techniques. We also studied the effects of sociodemographic factors (location of the study, mean age and gender distribution) on correlations between temperament dimensions. We searched studies on healthy (non-clinical) populations that used the TCI (version 9), and that had a required sample size of at least 100. The search resulted in 16 articles. The resulted pooled correlation coefficient was medium level between NS and HA (-0.27). Correlations were small for HA-P (-0.20), NS-P (-0.14), NS-RD (0.10), RD-P (0.05) and HA-RD (0.04). In meta-regression, the correlation NS-P was significantly affected by the location of the study (Asian/other) and by the gender distribution of the sample. In the HA-P correlation, the mean age of the sample affected the correlation. In conclusion, we found a medium level negative correlation between NS and HA; other correlations between the dimensions were small. These findings mainly support Cloninger's theory of independent dimensions.

摘要

气质与性格量表(TCI)旨在测量以下气质维度:新奇寻求(NS)、伤害回避(HA)、奖赏依赖(RD)和坚持性(P)。最初提出这四个气质维度相互独立。在本研究中,我们运用元分析技术研究了这些维度之间的相互关系。我们还研究了社会人口学因素(研究地点、平均年龄和性别分布)对气质维度之间相关性的影响。我们检索了使用TCI(第9版)的健康(非临床)人群研究,且样本量至少为100。检索结果为16篇文章。结果显示,NS与HA之间的合并相关系数为中等水平(-0.27)。HA与P之间(-0.20)、NS与P之间(-0.14)、NS与RD之间(0.10)、RD与P之间(0.05)以及HA与RD之间(0.04)的相关性较小。在元回归分析中,NS与P之间的相关性受研究地点(亚洲/其他)和样本性别分布的显著影响。在HA与P的相关性中,样本的平均年龄影响相关性。总之,我们发现NS与HA之间存在中等水平的负相关;各维度之间的其他相关性较小。这些发现主要支持了克隆宁格的独立维度理论。

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