Adaptation and Validation of a Suicide-Focused Word Sentence Association Paradigm to Assess Suicide-Specific Interpretation Biases

自杀意念 心理学 口译(哲学) 临床心理学 自杀预防 自杀未遂 同时有效性 预测效度 毒物控制 人为因素与人体工程学 心理测量学 精神科 医学 计算机科学 医疗急救 程序设计语言 内部一致性
作者
Megan L. Rogers,Casey A. Schofield,Michael F. Armey
出处
期刊:Behaviour Research and Therapy [Elsevier BV]
卷期号:182: 104619-104619
标识
DOI:10.1016/j.brat.2024.104619
摘要

The cognitive model of suicide proposes that biased cognitive processes contribute to suicidal thoughts and behaviors, and initial evidence suggests that attentional bias to suicide-congruent cues may predict suicidal behavior beyond established clinical risk factors. To date, much less work has explored the potential role of interpretation biases in the development and prediction of suicide risk. The present study assessed the psychometric properties, including reliability, concurrent validity, and predictive validity, of a novel adaptation of the Word Sentence Association Paradigm (WSAP) to assess suicide-suicide interpretation biases. In a sample of 239 psychiatric inpatients, including patients with no recent suicidal ideation or lifetime attempts (n = 35), those with recent suicide attempts (n = 29), and those with recent suicidal ideation (n = 174), participants completed the modified WSAP as well as self-reported suicidal ideation and attempts for the subsequent 6 months. Although the WSAP demonstrated good reliability, evidence of concurrent and prospective validity (in terms of self-reported suicidal ideation and attempts) was limited. Specifically, the clinical groups did not differ from one another on any measure of interpretation bias, nor did suicide-specific interpretation endorsements predict concurrent or future suicidal ideation when controlling for dysphoric interpretation bias. However, suicide-specific interpretation biases were uniquely associated with a history of a lifetime suicide attempt. Future work should further clarify the extent and specificity of the relationship between suicide-specific interpretation biases and clinical outcomes.
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