Mood Disorders Program, St. Joseph's Healthcare Hamilton, ON, Canada.
University Health Network, Canada.
J Affect Disord. 2018 Jan 1;225:54-63. doi: 10.1016/j.jad.2017.07.047. Epub 2017 Aug 1.
Biological rhythm disturbances are widely associated with the pathophysiology of mood disorders. The Biological Rhythms Interview for Assessment in Neuropsychiatry (BRIAN) is a self-report that indexes rhythm disturbance in sleep, activity, social and eating patterns. The aim of this study was to perform an Item Response Theory (IRT) analysis of the BRIAN and investigate its associations with objective sleep and rhythm disturbance measures.
103 subjects (31 bipolar, 32 major depression and 40 healthy volunteers) wore an actiwatch for fifteen days, and completed a first morning urine sample and the BRIAN on day 15. IRT analysis assessed individual BRIAN items and their relationship to total score. Individual actiwatch records were processed to produce a sequence of transitions between rest/activity, and a likelihood of transitioning between states was calculated to investigate sleep-wake dynamics. Cosinor analysis produced daily activity rhythms (DARs). Spearman correlations were used to assess the association between sleep/DAR variables and the BRIAN.
IRT analyses showed that 11 of 18 BRIAN items displayed a high level of discrimination between item options across a range of BRIAN total scores. Total BRIAN score correlated with wake after sleep onset, total activity count during sleep, and urinary 6-sulphatoxymelatonin. BRIAN Activity domain correlated with the daytime transition probability from rest to activity.
The sample size may have been underpowered for the graded-response model employed in IRT. The study lacked an objective comparison for BRIAN eating and social domain.
The present study reveals the BRIAN displays promising external validity compared to objective parameters of circadian rhythmicity.
生物节律紊乱与心境障碍的病理生理学广泛相关。生物节律访谈评估神经精神疾病(BRIAN)是一种自评工具,可评估睡眠、活动、社交和饮食模式中的节律紊乱。本研究的目的是对 BRIAN 进行项目反应理论(IRT)分析,并探讨其与客观睡眠和节律紊乱测量指标的关联。
103 名受试者(31 名双相障碍、32 名重度抑郁症和 40 名健康志愿者)佩戴活动监测器 15 天,并在第 15 天完成第一次晨尿样本和 BRIAN 测试。IRT 分析评估了 BRIAN 个体项目及其与总分的关系。对个体活动监测器记录进行处理,生成休息/活动之间的一系列转换,并计算在状态之间转换的可能性,以研究睡眠-觉醒动力学。余弦分析产生每日活动节律(DAR)。Spearman 相关系数用于评估睡眠/DAR 变量与 BRIAN 之间的关联。
IRT 分析显示,18 个 BRIAN 项目中的 11 个在 BRIAN 总分范围内的项目选项之间具有较高的区分度。BRIAN 总分与睡眠后觉醒、睡眠期间总活动计数和尿 6-硫酸褪黑素相关。BRIAN 活动域与从休息到活动的日间转换概率相关。
IRT 中采用的分级响应模型可能使样本量不足以进行分析。该研究缺乏 BRIAN 饮食和社交域的客观比较。
与昼夜节律的客观参数相比,本研究显示 BRIAN 具有有前景的外部有效性。