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弗林德斯疲劳量表作为日间疲劳测量指标的验证。

Validation of the Flinders Fatigue Scale as a measure of daytime fatigue.

机构信息

School of Psychology, Flinders University, South Australia, Australia.

School of Psychology, Flinders University, South Australia, Australia; Centre for Sleep Research, University of South Australia, South Australia, Australia.

出版信息

Sleep Med. 2017 Feb;30:105-112. doi: 10.1016/j.sleep.2016.11.016. Epub 2016 Dec 3.

Abstract

STUDY OBJECTIVES

To clinically validate the Flinders Fatigue Scale (FFS) as a brief measure of daytime fatigue, and to derive cut-off scores to classify fatigue severity.

METHOD

The FFS was administered to 439 adult volunteers from the general population, 292 adults with insomnia, 132 adults with Obstructive Sleep Apnoea (OSA) and 66 adults with Chronic Fatigue Syndrome/Myalgic Encephalomyelitis (CFS/ME), together with the Fatigue Severity Scale (FSS) and the Epworth Sleepiness Scale (ESS).

RESULTS

A factor analysis revealed a single factor solution for the seven-item scale (67% of total variance), although a better fit was obtained for a modified six-item version (75% of total variance). Group FFS scores varied in accordance with theorised fatigue levels, with CFS/ME and insomnia samples reporting significantly higher fatigue than OSA and volunteer samples. Good convergent validity was established with the FSS for volunteer (r = 0.67) and CFS/ME samples (r = 0.61). Excellent discriminant validity with the ESS was observed for the insomnia (r = -0.08) and CFS/ME groups (r = 0.03), while a small-to-moderate correlation was found within the volunteer sample (r = 0.29). Cut-off scores were identified to categorise borderline (13-15), moderate (16-20) and severe (≥21) fatigue.

CONCLUSIONS

The FFS is a reliable and valid instrument to quantify subjective daytime fatigue. Sensitivity and specificity analyses indicate scores that best discriminate insomniacs and CFS/ME populations from a non-clinical population. However, it is proposed that the data can also be used to indicate the severity of fatigue by reference to these first two groups.

摘要

研究目的

临床验证 Flinders 疲劳量表(FFS)作为日间疲劳的简短测量工具,并得出用于分类疲劳严重程度的截断分数。

方法

FFS 被施测于来自普通人群的 439 名成年志愿者、292 名失眠成年人、132 名阻塞性睡眠呼吸暂停(OSA)成年人和 66 名慢性疲劳综合征/肌痛性脑脊髓炎(CFS/ME)成年人,同时还使用疲劳严重度量表(FSS)和 Epworth 嗜睡量表(ESS)。

结果

一项因子分析显示,七项量表具有单一因子解决方案(总方差的 67%),尽管修改后的六项版本拟合更好(总方差的 75%)。组间 FFS 评分与理论疲劳水平相符,CFS/ME 和失眠样本报告的疲劳明显高于 OSA 和志愿者样本。FFS 与 FSS 之间具有良好的收敛效度,志愿者(r=0.67)和 CFS/ME 样本(r=0.61)。ESS 对失眠(r=-0.08)和 CFS/ME 组(r=0.03)具有极好的区分效度,而志愿者样本中则存在小到中等的相关性(r=0.29)。确定了用于分类边界(13-15)、中度(16-20)和重度(≥21)疲劳的截断分数。

结论

FFS 是一种可靠且有效的工具,可用于量化主观日间疲劳。敏感性和特异性分析表明,这些分数可以最好地区分失眠症和 CFS/ME 人群与非临床人群。然而,建议也可以参考这前两组数据来指示疲劳的严重程度。

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