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Multivariate Associations of Ideal Affect With Clinical Symptoms

机译:理想影响与临床症状的多元关联

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摘要

Prior research has indicated that ideal affect (i.e., the affective states that people value and would ideally like to experience) may be relevant to mental health outcomes. Studies to date, however, have not used comprehensive multivariate models that account for covariation among facets of ideal affect and incorporate multiple clinical outcomes. In the present studies, we used structural equation modeling to examine the multivariate effects of ideal affect on symptoms of depression, anxiety, and alcohol abuse in 2 moderately large samples of undergraduates (N = 293 and N = 146). Exploratory results of indicated that valuation of high arousal positive affective states was significantly associated with lower depression symptoms but higher anxiety and alcohol abuse symptoms and that valuation of high arousal negative states was specifically associated with greater anxiety symptoms. These results were shown to be structurally invariant across samples and ethnicities in , which also found that ideal–actual affect discrepancies were significantly associated with symptoms of depression and anxiety. These findings support and extend the hypothesis that ideal affect is implicated in clinical outcomes by highlighting the importance of jointly considering multiple facets of ideal and actual affect as they relate to a range of clinical syndromes.
机译:先前的研究表明,理想的情感(即人们重视并理想地体验的情感状态)可能与心理健康结果有关。然而,迄今为止的研究还没有使用全面的多元模型来说明理想影响的各个方面之间的协变量,并且没有纳入多个临床结果。在本研究中,我们使用结构方程模型来研究理想影响对2个中等量大学生样本(N = 293和N = 146)的抑郁,焦虑和酗酒症状的多变量影响。探索性结果表明,高唤醒阳性情绪状态的评估与较低的抑郁症状显着相关,而较高的焦虑和酗酒症状与高唤醒阴性状态的评估特别与较高的焦虑症状相关。在的样本和种族中,这些结果在结构上是不变的,还发现理想与实际的影响差异与抑郁和焦虑症状显着相关。这些发现通过强调了共同考虑理想和实际影响的多个方面的重要性,从而支持并扩展了理想影响与临床结果有关的假说,因为它们涉及一系列临床综合征。

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