Bénédicte Ceoara , Marie Dosquet , Marina Sánchez-Rico , Pierre A. Geoffroy , Carlos Blanco , Frédéric Limosin , Nicolas Hoertel
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Substance use disorders (SUD) may constitute one leading contributory factor to this relationship.</div></div><div><h3>Methods</h3><div>In a nationally representative sample of US adults aged 18 years or older who were interviewed 3 years apart in the National Epidemiologic Survey on Alcohol and Related Conditions (wave 1, 2001–2002; wave 2, 2004–2005), we used structural equation modeling to examine the shared and specific effects of three sleep complaints at Wave 1 (i.e., trouble falling asleep, early morning awakening, and hypersomnia) on physical and mental health-related quality of life at Wave 2, based on SF-12v2 norm-based physical (PCS) and mental (MCS) scores. We estimated the proportions of these associations mediated by SUD, adjusting for various sociodemographic and clinical characteristics.</div></div><div><h3>Results</h3><div>Sleep complaints were significantly associated with lower MCS and PCS scores among the 34,653 respondents who completed both interviews (β = −0.094, SE = 0.010, p < 0.001; β = −0.042, SE = 0.009, p < 0.001, respectively). These associations were not specific to one type of sleep complaint, but rather were mediated by a single latent factor, representing mechanisms shared by all sleep complaints. 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引用次数: 0
摘要
睡眠质量与生活质量下降有关。物质使用障碍(SUD)可能是导致这种关系的一个主要因素。方法:在全国酒精及相关疾病流行病学调查(2001-2002年第1期)中,每隔3年对18岁或以上的美国成年人进行一次具有全国代表性的抽样调查。波浪2(2004-2005),我们使用结构方程模型来检验波浪1的三种睡眠抱怨(即入睡困难、早起和嗜睡)对波浪2的身心健康相关生活质量的共同和特定影响,基于SF-12v2基于标准的身体(PCS)和精神(MCS)评分。我们估计了SUD介导的这些关联的比例,并根据各种社会人口统计学和临床特征进行了调整。结果在34,653名完成两项访谈的受访者中,睡眠抱怨与较低的MCS和PCS得分显著相关(β = - 0.094, SE = 0.010, p <;0.001;β = - 0.042, SE = 0.009, p <;分别为0.001)。这些关联并不是特定于一种睡眠抱怨,而是由单一的潜在因素介导,代表了所有睡眠抱怨共有的机制。该潜在因素对MCS和PCS的影响分别有14.42%和18.4%是由SUD潜在因素介导的,代表了SUD之间的共同影响。结论我们的研究结果强调了采用维度方法来模拟sud与睡眠障碍共同发生的重要性,并提示了预防和治疗成人睡眠障碍中sud的重要性。
Association between sleep complaints and quality of life and the mediating role of substance use disorders: results from a nationally representative sample
Introduction
Sleep quality is associated with diminished quality of life. Substance use disorders (SUD) may constitute one leading contributory factor to this relationship.
Methods
In a nationally representative sample of US adults aged 18 years or older who were interviewed 3 years apart in the National Epidemiologic Survey on Alcohol and Related Conditions (wave 1, 2001–2002; wave 2, 2004–2005), we used structural equation modeling to examine the shared and specific effects of three sleep complaints at Wave 1 (i.e., trouble falling asleep, early morning awakening, and hypersomnia) on physical and mental health-related quality of life at Wave 2, based on SF-12v2 norm-based physical (PCS) and mental (MCS) scores. We estimated the proportions of these associations mediated by SUD, adjusting for various sociodemographic and clinical characteristics.
Results
Sleep complaints were significantly associated with lower MCS and PCS scores among the 34,653 respondents who completed both interviews (β = −0.094, SE = 0.010, p < 0.001; β = −0.042, SE = 0.009, p < 0.001, respectively). These associations were not specific to one type of sleep complaint, but rather were mediated by a single latent factor, representing mechanisms shared by all sleep complaints. A total of 14.42 % and 18.4 % of the effect of that latent factor on MCS and PCS was mediated by a SUD latent factor, representing the shared effects across SUDs.
Conclusion
Our findings highlight the importance of adopting dimensional approaches to model the co-occurrence of SUDs and sleep disturbance and suggest the importance of prevention and treatment measures for SUDs among adults with sleep disturbance.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;