INTRODUCTION In research and treatment of mood disorders, "euthymia" traditionally denotes the absence of clinically significant mood disturbance. A newer, expanded definition of euthymia also includes positive affect and psychological well-being. OBJECTIVE We aimed to test this comprehensive model of euthymia and estimate the coherence and predictive power of each factor in the model. METHODS Community-dwelling adults (N = 601), including both mental health outpatients and non-patients at high risk for personality pathology, completed a battery of interviews and questionnaires at time 1. Most (n = 497) were reassessed on average 8 months later (time 2). We modeled euthymia using standard mood, personality, and psychosocial functioning assessments rather than measures designed specifically for euthymia. RESULTS The hypothesized model of euthymia was supported by confirmatory factor analysis: specific measures loaded on three lower order factors (mood disturbance, positive affect, and psychological well-being) that reflected general euthymia at time 1. Each factor (general euthymia plus lower order factors) demonstrated moderately strong concurrent (time 1) and predictive (time 1-2) correlations with outcomes, including employment status, income, mental health treatment consumption, and disability. Compared to positive affect and psychological well-being, mood disturbance had stronger incremental (i.e., nonoverlapping) relations with these outcomes. CONCLUSIONS Support for a comprehensive model of euthymia reinforces efforts to improve assessment and treatment of mood and other disorders. Beyond dampening of psychological distress, euthymia-informed treatment goals encompass full recovery, including enjoyment and meaning in life.

中文翻译：

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评估 Euthymia 的综合模型。

引言 在情绪障碍的研究和治疗中，“情绪正常”传统上表示不存在具有临床意义的情绪障碍。一种更新的、扩展的幸福感定义还包括积极影响和心理健康。目的 我们的目的是测试这种情绪愉悦的综合模型，并估计模型中每个因素的一致性和预测能力。方法 居住在社区的成年人 (N = 601)，包括心理健康门诊患者和非人格病理学高风险患者，在时间 1 完成了一系列访谈和问卷调查。大多数 (n = 497) 平均 8 个月重新评估稍后（时间 2）。我们使用标准情绪、人格和心理社会功能评估而不是专门为幸福设计的措施来模拟幸福。结果 情绪愉悦的假设模型得到验证性因素分析的支持：具体措施加载在三个低阶因素（情绪障碍、积极影响和心理健康）上，反映了时间 1 的一般情绪。每个因素（一般情绪加低阶）因素）显示出与结果（包括就业状况、收入、心理健康治疗消费和残疾）的中等强并发（时间 1）和预测（时间 1-2）相关性。与积极影响和心理健康相比，情绪障碍与这些结果有更强的增量（即非重叠）关系。结论 支持情绪稳定的综合模型加强了改进情绪和其他障碍的评估和治疗的努力。除了减轻心理压力，