Wenze Susan J, Gunthert Kathleen C
Lafayette College, Easton, Pennsylvania
American University, Washington, DC.
J Cogn Psychother. 2018 Oct;32(4):263-271. doi: 10.1891/0889-8391.32.4.263.
We examined whether affective forecasting biases prospectively predict depression and anxiety symptoms in the context of life stress. Participants ( = 72) completed- baseline measures of depression, anxiety, and mood predictions, followed by one week of ecological momentary assessments of mood. Three months later, they completed measures of depression, anxiety, and life stress. Neither positive nor negative mood prediction biases at baseline were associated with follow-up anxiety scores. Positive mood prediction biases were not associated with follow-up depression scores. However, the interaction between negative mood prediction bias and life stress predicted follow-up depression scores. Under conditions of greater life stress, stronger negative mood prediction biases predicted lower follow-up depression scores. Under conditions of positive life change, stronger negative mood prediction biases predicted higher follow-up depression scores. Negative mood prediction bias might serve as a protective or liability factor, depending on levels of stress. Clinical implications and future directions are discussed.
我们研究了情感预测偏差是否能前瞻性地预测生活压力情境下的抑郁和焦虑症状。参与者(n = 72)完成了抑郁、焦虑和情绪预测的基线测量,随后进行了为期一周的情绪生态瞬时评估。三个月后,他们完成了抑郁、焦虑和生活压力的测量。基线时的积极或消极情绪预测偏差均与随访时的焦虑得分无关。积极情绪预测偏差与随访时的抑郁得分无关。然而,消极情绪预测偏差与生活压力之间的交互作用预测了随访时的抑郁得分。在生活压力较大的情况下,较强的消极情绪预测偏差预示着较低的随访抑郁得分。在生活发生积极变化的情况下,较强的消极情绪预测偏差预示着较高的随访抑郁得分。消极情绪预测偏差可能是一种保护因素或危险因素,这取决于压力水平。本文讨论了临床意义和未来研究方向。