a Veterans Administration San Diego Healthcare System , La Jolla , California.
b Department of Psychiatry , University of California , San Diego , La Jolla , California.
Behav Sleep Med. 2019 Jan-Feb;17(1):12-18. doi: 10.1080/15402002.2016.1266490. Epub 2017 Jan 18.
OBJECTIVE/BACKGROUND: The Insomnia Severity Index (ISI) is a widely used self-report measure of insomnia symptoms. However, to date this measure has not been validated or well-characterized in veterans who have experienced traumatic brain injury (TBI). This study assessed the psychometric properties and convergent, divergent, construct, and discriminate validity of the ISI in veterans with a history of TBI.
Eighty-three veterans with history of TBI were seen in the VA San Diego Healthcare System as part of a research protocol.
Measures included the ISI, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, Neurobehavioral Symptom Inventory, Beck Depression Inventory-II, Beck Anxiety Inventory, and PTSD Checklist-Military Version.
The ISI demonstrated moderate to strong or excellent convergent and divergent validity. A principal component analysis indicated a single construct with excellent internal consistency (Cronbach's alpha = 0.92). In exploratory analyses, the ISI discriminated well between those with (73%) and without (27%) sleep disturbance based on the PSQI.
Results from this study indicate validity of the ISI in assessing insomnia in veterans with history of TBI and suggest a cutoff score not dissimilar from non-TBI populations. Findings from this study can help inform clinical applicability of the ISI, as well as future studies of insomnia in TBI.
目的/背景:失眠严重程度指数(ISI)是一种广泛用于评估失眠症状的自评量表。然而,迄今为止,该量表尚未在经历创伤性脑损伤(TBI)的退伍军人中得到验证或充分描述。本研究评估了 ISI 在有 TBI 病史的退伍军人中的心理测量特性以及与 convergent、divergent、construct 和 discriminate 效度。
83 名有 TBI 病史的退伍军人在圣地亚哥退伍军人医疗保健系统接受了研究方案的评估。
评估工具包括 ISI、匹兹堡睡眠质量指数(PSQI)、Epworth 嗜睡量表、神经行为症状量表、贝克抑郁量表-II、贝克焦虑量表和 PTSD Checklist-Military 版本。
ISI 表现出中等至强或极好的 convergent 和 divergent 效度。主成分分析表明,ISI 具有极好的内部一致性(Cronbach's alpha = 0.92)。在探索性分析中,ISI 可以很好地区分那些 PSQI 得分高(73%)和低(27%)的睡眠障碍患者。
本研究结果表明 ISI 在评估有 TBI 病史的退伍军人失眠方面具有有效性,并提示了与非 TBI 人群相似的截断分数。本研究的结果可以帮助确定 ISI 的临床适用性,以及 TBI 患者失眠的未来研究。