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采用宾夕法尼亚州忧虑问卷中的一个单项对成年人进行问题性忧虑筛查。

Screening for Problematic Worry in Adults With a Single Item From the Penn State Worry Questionnaire.

机构信息

1 Michigan State University, East Lansing, MI, USA.

2 Texas A&M University, College Station, TX, USA.

出版信息

Assessment. 2019 Mar;26(2):336-346. doi: 10.1177/1073191117694453. Epub 2017 Feb 1.

Abstract

As the rapid assessment of mental health is a growing need, a quick and valid tool for the early detection of symptoms that can be flexibly deployed across a range of contexts may be especially beneficial. This is particularly true of anxiety problems, which when undetected contribute to health care costs and lost work productivity. Data from more than 10,000 respondents (primarily female undergraduates) were used to test whether a single item from the popular Penn State Worry Questionnaire could serve as a screening tool in settings where administration of the full scale is undesirable. Items were evaluated by examining item response theory models, screening capabilities, stability over time, convergence with other anxiety and depression measures, and a response time analysis that assessed how quickly participants responded to each item. Item 15 ("I worry all the time") emerged as the strongest item: It was the most discriminating and reliable item, had sensitivity and specificity similar to the full scale, had the highest 1-month and 1-year retest coefficients, the highest convergent correlations with measures of anxiety and depression, and was responded to significantly faster than any other item. We suggest that in time-limited contexts, this item is suitable for screening.

摘要

随着对心理健康快速评估的需求不断增长,一种能够快速、有效地检测症状的工具,且可在多种情境下灵活运用,可能会特别有益。对于焦虑问题来说尤其如此,如果这些症状没有被及时发现,可能会导致医疗费用增加和工作生产力损失。我们利用来自 1 万多名受访者(主要为女大学生)的数据,检验了广受欢迎的宾州忧虑问卷中的一个单项是否可以作为一种筛选工具,用于那些不希望进行完整量表测试的情境。我们通过考察项目反应理论模型、筛选能力、随时间的稳定性、与其他焦虑和抑郁测量指标的收敛性,以及评估参与者对每个项目的反应速度的反应时间分析,对这些项目进行了评估。第 15 项(“我一直很担心”)是表现最强的一项:它是最具区分度和可靠性的项目,其灵敏度和特异性与完整量表相似,具有最高的 1 个月和 1 年重测系数,与焦虑和抑郁测量指标的相关性最高,且比任何其他项目的反应速度都要快。我们建议,在时间有限的情况下,这个项目适合用于筛选。

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