轻微精神症状的稳定性和变化模型:来自三个纵向研究的结果。

P Duncan-Jones, D M Fergusson, J Ormel, L J Horwood
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引用次数: 0

摘要

一个统计模型旨在估计稳定和变化的症状对轻微精神症状水平的贡献。该模型拟合了来自三个纵向研究的数据。这些研究涉及来自堪培拉(澳大利亚)、克赖斯特彻奇(新西兰)和格罗宁根(荷兰)的受试者。所有三个数据集的数据都被证明充分拟合所提出的模型。然而,研究结果存在系统性差异。堪培拉和格罗宁根研究的结果表明,症状水平的很大一部分(50-75%)差异可归因于受试者之间稳定症状水平的差异。相比之下,克赖斯特彻奇的研究表明,稳定症状的贡献较小。这些差异可以用所研究样本的性质来解释。所有三项研究都表明,稳定的症状水平与特征神经质的测量之间存在很强的相关性(0.79-0.94)。在此证据的基础上得出结论,神经质可能只不过是测量受试者轻微精神症状特征水平的一种方式。该模型还使人们有可能估计出短期精神状态对神经质程度的影响。不同研究对污染影响的估计各不相同。对于堪培拉的数据污染可以忽略不计,对于格罗宁根的数据,存在轻微的污染效应,但对于克赖斯特彻奇的数据污染更大。这些差异可以用所研究样品性质的差异来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model of stability and change in minor psychiatric symptoms: results from three longitudinal studies.

A statistical model designed to estimate the contributions of stable and changing symptomatology to levels of minor psychiatric symptoms is developed. This model is fitted to data obtained from three longitudinal studies. These studies involved subjects from Canberra (Australia), Christchurch (New Zealand) and Groningen (Holland). Data from all three data sets were shown to fit the proposed model adequately. However, there were systematic differences in the findings of the study. The findings from the Canberra and Groningen studies suggested that a large amount (50-75%) of the variance in symptom levels could be attributed to between subject difference in stable levels of symptomatology. In contrast the Christchurch study suggested a smaller contribution of stable symptomatology. These differences may be explained by the nature of the samples studied. All three studies showed evidence of strong correlations (0.79-0.94) between stable levels of symptomatology and the measure of trait neuroticism. It is concluded on the basis of this evidence that the neuroticism may be little more than a way of measuring the subject's characteristic level of minor psychiatric symptoms. The model also made it possible to secure estimates of the extent to which measures of neuroticism were contaminated by short-term mental state. Estimates of contamination effects varied between studies. For the Canberra data contamination was negligible, for the Groningen data mild contamination effects were present but for the Christchurch data contamination was larger. These differences may be explained by differences in the nature of the samples studied.

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