Sleep, psychiatric and socioeconomic factors associated with substance use in a large population sample: A cross-sectional study
Sleep, psychiatric and socioeconomic factors associated with substance use in a large population sample: A cross-sectional study
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DOI：
10.1016/j.pbb.2021.173274
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发表时间：
2021-09-29
影响因子：
3.6
通讯作者：
Andersen, Monica L.
中科院分区：
文献类型：
--
作者：
Dokkedal-Silva, Vinicius;Fernandes, Guilherme L.;Andersen, Monica L.
包括睡眠在内的多种因素调节着药物的使用，睡眠越来越被认为是药物使用和滥用的重要因素。本研究旨在评估睡眠、精神和社会经济/人口统计因素与物质使用之间的关系，该样本来自与巴西圣保罗相似的萨市。数据来自2007年类似于圣保罗流行病学睡眠研究(EPISONO)的数据库。在EPISONO的研究中，志愿者接受了多导睡眠图检查，并完成了一系列问卷，以评估客观和主观的睡眠质量以及相关的并发症。使用酒精、吸烟和物质参与筛选试验(ASSIST)评估药物使用情况。采用线性(单变量和多变量)和Logistic回归来确定与样本中最常用的4种物质(烟草、酒精、大麻和可卡因/可卡因)的使用有关的因素。结构方程模型被用来建立理论网络，以解释睡眠、精神和社会经济因素与这些物质的使用之间的关系。Logistic回归分析结果显示，精神症状、低收入和主观睡眠差是吸烟的主要影响因素；性别和职业状况与饮酒有关；年龄和职业与吸食大麻有关；教育程度与吸食可卡因/可卡因有关。结构方程模型部分支持了这些发现，并确定了精神症状对烟草消费的显著影响，包括直接影响和通过睡眠调节的影响。我们的结果巩固了之前关于与普遍滥用物质相关的因素的发现，并建议睡眠应被视为未来物质使用障碍研究的重要因素。
Multiple elements modulate drug use, including sleep, which is increasingly being considered as an important contributor to substance use and abuse. The present study aimed to evaluate the association between sleep, psychiatric and socioeconomic/demographic factors and substance use in a large-scale representative sample from the city of Sa similar to o Paulo, Brazil. Data from the 2007 Sa similar to o Paulo Epidemiological Sleep Study (EPISONO) database were used. In the EPISONO study, volunteers underwent a polysomnographic exam and completed a series of questionnaires to assess objective and subjective sleep quality and associated comorbidities. Drug use was assessed using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Linear (univariate and multivariate) and logistic regressions were performed to identify factors associated with the use of the 4 most commonly used substances in the sample (tobacco, alcohol, cannabis and cocaine/crack). Structural equation models were used to establish theoretical networks to explain the relationship between sleep, psychiatric and socioeconomic factors and use of these substances. The logistic regression results showed that psychiatric symptoms, lower income, and poorer subjective sleep were the main factors associated with tobacco consumption; gender and occupational status with alcohol intake; age and occupation with cannabis use; and education with cocaine/crack use. The structural equation models partially supported these findings and identified significant effects of psychiatric symptoms on tobacco consumption, both directly and mediated by sleep. Our results reinforce previous findings concerning factors associated with generally misused substances and suggest that sleep should be considered as an important element in future substance use disorder studies.