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压力和自我效能感可预测前列腺癌诊断时的心理调适情况。

Stress and self-efficacy predict psychological adjustment at diagnosis of prostate cancer.

作者信息

Curtis Ruth, Groarke AnnMarie, Sullivan Frank

机构信息

School of Psychology, National University of Ireland, Galway.

Prostate Cancer Institute, National University of Ireland, Galway.

出版信息

Sci Rep. 2014 Jul 4;4:5569. doi: 10.1038/srep05569.

Abstract

Prostate cancer is the most frequently non-skin cancer diagnosed among men. Diagnosis, a significant burden, generates many challenges which impact on emotional adjustment and so warrants further investigation. Most studies to date however, have been carried out at or post treatment with an emphasis on functional quality of life outcomes. Men recently diagnosed with localised prostate cancer (N = 89) attending a Rapid Access Prostate Clinic to discuss treatment options completed self report questionnaires on stress, self-efficacy, and mood. Information on age and disease status was gathered from hospital records. Self-efficacy and stress together explained more than half of the variance on anxiety and depression. Self-efficacy explained variance on all 6 emotional domains of the POMS (ranging from 5-25%) with high scores linked to good emotional adjustment. Perceived global and cancer specific stress also explained variance on the 6 emotional domains of the POMS (8-31%) with high stress linked to poor mood. These findings extend understanding of the role of efficacy beliefs and stress appraisal in predicting emotional adjustment in men at diagnosis and identify those at risk for poor adaptation at this time. Such identification may lead to more effective patient management.

摘要

前列腺癌是男性中最常被诊断出的非皮肤癌。诊断是一项重大负担,会带来诸多挑战,影响情绪调适,因此值得进一步研究。然而,迄今为止的大多数研究都是在治疗期间或治疗后进行的,重点关注生活质量功能方面的结果。近期被诊断为局限性前列腺癌的男性(N = 89)前往快速通道前列腺诊所讨论治疗方案,他们完成了关于压力、自我效能感和情绪的自我报告问卷。从医院记录中收集了年龄和疾病状态信息。自我效能感和压力共同解释了焦虑和抑郁差异的一半以上。自我效能感解释了POMS所有6个情绪领域的差异(范围从5% - 25%),高分与良好的情绪调适相关。感知到的总体压力和癌症特定压力也解释了POMS 6个情绪领域的差异(8% - 31%),高压力与不良情绪相关。这些发现扩展了我们对效能信念和压力评估在预测男性诊断时情绪调适方面作用的理解,并确定了此时适应不良风险较高的人群。这种识别可能会带来更有效的患者管理。

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