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患者特征与睡眠药物使用的预测因素。

Patient characteristics and predictors of sleep medication use.

机构信息

Department of Clinical Psychology, University of Bergen, Bergen, Norway.

出版信息

Int Clin Psychopharmacol. 2010 Mar;25(2):91-100. doi: 10.1097/YIC.0b013e328334e5e6.

DOI:10.1097/YIC.0b013e328334e5e6
PMID:20071997
Abstract

The objective of this study was to investigate the characteristics of sleep medication users, and their satisfaction with treatment and subjective difficulty with quitting the drugs. A representative sample of 5000 adults in Norway was selected to participate in an epidemiologic study. The data were collected through a postal survey in which a total of 2645 (52.9%) participants responded. Weighted logistic regression was used to explore predictors for the drug pattern use. The prevalence of lifetime, current, and chronic use of sleep medications were 18.8, 7.9, and 4.2%. The use was associated with low socioeconomic status, older age, female sex, and frequent symptoms of sleep disorders, anxiety, and depression. Older age and low perceived control over sleep were the strongest predictors for use and difficulty in quitting sleep medications. Among responders who had ever used sleep medications, 80.3% would prefer a nonpharmacological treatment alternative. It is concluded that consumption of sleep medications is widespread in Norway, and that perception of control over sleep may play a significant role in the drug pattern use. Nonpharmacological treatment is to a small extent implemented in the health care sector.

摘要

本研究旨在探讨睡眠药物使用者的特征,以及他们对治疗的满意度和主观停药难度。在挪威,选择了一个具有代表性的 5000 名成年人样本,参与一项流行病学研究。通过邮寄调查收集数据,共有 2645 名(52.9%)参与者做出了回应。采用加权逻辑回归来探讨药物使用模式的预测因素。终生、当前和慢性使用睡眠药物的患病率分别为 18.8%、7.9%和 4.2%。药物使用与社会经济地位低、年龄较大、女性以及睡眠障碍、焦虑和抑郁的症状频繁有关。年龄较大和对睡眠控制感较低是使用和难以停止使用睡眠药物的最强预测因素。在曾经使用过睡眠药物的应答者中,80.3%的人更希望选择非药物治疗方法。结论是,在挪威,睡眠药物的使用很普遍,对睡眠控制的感知可能在药物使用模式中起重要作用。非药物治疗在卫生保健部门的实施程度很小。

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