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有夜班和轮班工作及无夜班和轮班工作的挪威护士的嗜睡和失眠症状轨迹。

Trajectories of sleepiness and insomnia symptoms in Norwegian nurses with and without night work and rotational work.

作者信息

Thun Eirunn, Bjorvatn Bjørn, Åkerstedt Torbjørn, Moen Bente Elisabeth, Waage Siri, Molde Helge, Pallesen Ståle

机构信息

a University of Bergen , Department of Psychosocial Science , Bergen , Norway.

b University of Bergen , Department of Global Public Health and Primary Care , Bergen , Norway.

出版信息

Chronobiol Int. 2016;33(5):480-9. doi: 10.3109/07420528.2016.1148045. Epub 2016 Mar 31.

Abstract

Numerous cross-sectional studies report high prevalence rates of sleepiness and insomnia in shift workers, but few longitudinal studies exist. We investigated trajectories of sleepiness and insomnia symptoms in a sample of Norwegian nurses across four measurements, spanning a total of four years (sleepiness) and five years (insomnia). The participants completed the Epworth Sleepiness Scale and the Bergen Insomnia Scale at each measurement instance. Latent growth curve models were used to analyse the data. Separate models examined night work (night work, entering and leaving night work) and rotational work (rotational work, entering and leaving rotational work) as predictors for trajectories of sleepiness and insomnia symptoms, respectively. Baseline values of sleepiness and insomnia were higher among rotational shift workers than among workers with fixed shifts (day or night). The results showed that night work throughout the period and entering night work during the period were not associated with different trajectories of sleepiness or insomnia symptoms, compared to not having night work. The same results were found for rotational work and entering rotational work, compared to not having rotational work. Leaving night work and leaving rotational work were associated with a decrease in sleepiness and insomnia symptoms, compared to staying in such work.

摘要

众多横断面研究报告称,轮班工作者中嗜睡和失眠的患病率很高,但纵向研究却很少。我们对挪威护士样本在四年(嗜睡)和五年(失眠)内的四次测量中的嗜睡和失眠症状轨迹进行了调查。参与者在每次测量时都完成了爱泼华嗜睡量表和卑尔根失眠量表。使用潜在生长曲线模型来分析数据。分别建立模型,将夜班工作(夜班工作、开始和结束夜班工作)和轮班工作(轮班工作、开始和结束轮班工作)作为嗜睡和失眠症状轨迹的预测因素。轮班制工人的嗜睡和失眠基线值高于固定班次(日班或夜班)的工人。结果表明,与不从事夜班工作相比,整个期间从事夜班工作以及在此期间开始从事夜班工作与嗜睡或失眠症状的不同轨迹无关。与不从事轮班工作相比,轮班工作以及开始从事轮班工作也得到了相同的结果。与继续从事此类工作相比,结束夜班工作和结束轮班工作与嗜睡和失眠症状的减轻有关。

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