Psychometric evaluation of daytime sleepiness and nocturnal sleep onset scales in a representative community sample
Psychometric evaluation of daytime sleepiness and nocturnal sleep onset scales in a representative community sample
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DOI：
10.1016/s0006-3223(98)00111-5
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发表时间：
1999-03-15
影响因子：
10.6
通讯作者：
Rosenthal, L
中科院分区：
文献类型：
--
作者：
Johnson, EO;Breslau, N;Rosenthal, L
背景：人们已经认识到白天嗜睡作为事故、人际关系问题和生产力下降的危险因素对公共卫生的重要性。然而，该主题的流行病学研究因依赖实验室测量（即多次睡眠潜伏期测试 - MSLT）而受到限制。已从临床样本中的自我报告睡眠-觉醒活动量表 (SWAI) 中确定了白天嗜睡和夜间入睡这两个量表，并根据 MSLT 进行了验证。本研究评估了这两种量表在人口样本中的可重复性，并评估了区分日间嗜睡和入睡困难的正常与病理水平的量表评分的潜在阈值。 方法：样本由底特律大都市区 2181 名 18-45 岁的受试者组成。所有睡眠特征信息涵盖访谈前两周，进行分半样本因子分析以评估结果的可重复性。使用量表恐慌的分布及其与构建有效性变量的关系来评估可能的阈值。结果：双因素模型似乎能够最好地解释 SWAI 中 12 个项目之间的变化。这两个因素占两个分半样本分析中方差的 50%。修订后的八项日间嗜睡量表和两项夜间入睡量表在两个半样本中分别显示出良好且公平的内部一致性。白天嗜睡量表分数似乎存在“自然中断”，这与睡眠小时数的实质性和持续变化相关。夜间睡眠开始评分没有出现中断。 结论：这项研究复制了基于临床的研究结果，并提出了自我报告白天过度嗜睡的潜在有用的诊断阈值，睡眠流行病学取决于以可靠和有效的方式从实验室转向人口调查的能力，自我报告的发展是朝这个方向迈出的一步。 (C) 1999 年生物精神病学协会。
Background: The public health importance of daytime sleepiness as a risk factor for accidents, interpersonal problems, and decreased productivity has been recognized. However, epidemiologic research on this topic has been limited by the reliance on laboratory measures (i.e., the Multiple Sleep Latency Test-MSLT). Two scales, daytime sleepiness and nocturnal sleep onset, have been identified from the self-report Sleep-Wake Activity Inventory (SWAI) in a clinic sample and validated against the MSLT. This study evaluates the replicability of the two scales in a population sample and assesses potential thresholds in scale scores that distinguish normal from pathologic levels of daytime sleepiness and difficulty falling asleep.Methods: The sample consisted of 2181 subjects 18-45 years old in the Detroit metropolitan area. All sleep characteristic information covered the 2 weeks prior to interview, Split-half sample factor analyses were conducted to assess replicability of the results. Distribution of scale scares and their relation to construct validity variables were used to evaluate possible thresholds.Results: A two-factor model appeared to best account for the variation among the 12 items from the SWAI. The two factors accounted for 50% of the variance in both split-half sample analyses. The revised eight-item daytime sleepiness and two-item nocturnal sleep onset scales showed good and fair internal consistency respectively across both split-half samples. There appeared to be a "natural break" in daytime sleepiness scale scores that was associated with a substantial and consistent change in number of hours slept. No breaks appeared in nocturnal sleep onset scores.Conclusions: This study replicated the results of the clinic-based study and suggested a potentially useful diagnostic threshold for self-report excessive daytime sleepiness, Epidemiology of sleep depends on the ability to move from the laboratory to population surveys in reliable and valid ways, Development of self-report is a step in that direction. (C) 1999 Society of Biological Psychiatry.