Background and objectives

Separate lines of research indicate sleep quality may impact recognition of facial expressions in anxious or depressed individuals. This study examined facial emotion recognition ability in the context of self-perceived sleep quality and anxiety and depression symptom levels in individuals with and without internalizing psychopathologies.

Methods

Seventy anxious and/or depressed patients and 24 demographically matched healthy controls completed the Pittsburgh Sleep Quality Index (PSQI), standard measures of anxiety and depression, and an Emotion Recognition Task comprising negative and positive facial expressions.

Results

Analyses of variance results revealed patients reported worse sleep quality than controls. Linear mixed-effects models indicated that all participants demonstrated better emotion recognition abilities in identifying positive versus negative emotions. For reaction time, but not accuracy, regression results revealed significant individual differences, with worse sleep quality predicting slower reaction times for positive faces, specifically for happiness.

Limitations

The use of a subjective measure of sleep quality and a specific behavioral paradigm for emotion recognition may impact the generalizability of the findings.

Conclusions

Associations between task performance and emotional valence of facial expression implies that poor sleep quality, beyond internalizing symptom severity, may disrupt emotion processing.

中文翻译：

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有和没有内化精神病理学的个体的睡眠质量和情绪识别

背景和目标

独立的研究表明，睡眠质量可能会影响焦虑或抑郁个体的面部表情识别。这项研究在自我感知的睡眠质量和焦虑和抑郁症状水平的背景下检查了有和没有内化精神病理学的个体的面部情绪识别能力。

方法

70 名焦虑和/或抑郁患者和 24 名人口统计学匹配的健康对照者完成了匹兹堡睡眠质量指数 (PSQI)、焦虑和抑郁的标准测量以及包含消极和积极面部表情的情绪识别任务。

结果

方差分析结果显示，患者报告的睡眠质量比对照组差。线性混合效应模型表明，所有参与者在识别积极情绪和消极情绪方面都表现出更好的情绪识别能力。对于反应时间而非准确性，回归结果显示出显着的个体差异，睡眠质量越差预示着对积极面孔的反应时间越慢，特别是对幸福的反应时间。

限制

使用睡眠质量的主观测量和情绪识别的特定行为范式可能会影响研究结果的普遍性。

结论

任务表现与面部表情的情绪效价之间的关联意味着，除了内化症状严重程度之外，睡眠质量差可能会扰乱情绪处理。