Sleep, psychological symptoms, and cannabis use before, during, and after COVID-19 "stay-at-home" orders: a structural equation modeling approach.

IF 4.1 Q1 PHARMACOLOGY & PHARMACY
Nicole P Bowles, Sean P M Rice, Joey Hebl, Alicia V Stewart, Steven A Shea
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Abstract

Background: Given the frequent use of cannabis for sleep and mental health symptoms, we aimed to prospectively examine the reciprocal relationship between sleep, mental health, and cannabis use from before, during, and 1 year after the implementation of COVID-19 stay-at-home orders.

Methods: Five hundred thirty-four young adults (21-34 years old) from Oregon and Washington States who previously completed a survey on their sleep and cannabis use prior to stay-at-home orders (T0), were followed up after initial stay-at-home orders were in place for approximately two months (T1), and one year later (T2), to reassess sleep and cannabis use. Sleep measures included the presence of sleep trouble [yes/no], and weekday and weekend sleep duration. The Cannabis Use Disorders Identification Test Revised (CUDIT-R) was used to assess past-six-month cannabis use. The follow up surveys additionally measured mental health symptoms and other health behaviors. We applied cross-lagged panel models to assess the association between cannabis use and sleep at all three time points. Multivariate parallel latent change score models were used to assess associations between changes in cannabis use, sleep, mental health symptoms, and other behavioral factors from T1 to T2.

Results: For the cross-lagged models, reporting sleep trouble at T0 was associated (β = 0.18, p < 0.05) with higher CUDIT-R scores at T1, however this relationship did not hold from T1 to T2. CUDIT-R scores were not associated with sleep trouble from T0 to T1, however CUDIT-R at T1 had a positive association (β = 0.35, p < 0.05) with sleep trouble at T2. The two-wave latent change score model, indicated that change in sleep trouble between T1 and T2 was positively associated with changes in depression (r = 0.37, p < 0.05) and anxiety (r = 0.40, p < 0.05) across this period. No significant correlation was found between changes in cannabis use and changes in sleep trouble.

Conclusions: Our findings suggest an inconsistent bidirectional link between sleep trouble and cannabis use. Only sleep trouble, and not cannabis use, predicted mental health measures. These associations lend support for a holistic approach to designing and implementing public health measures during a global pandemic.

睡眠、心理症状和大麻使用在COVID-19“呆在家里”命令之前、期间和之后:一种结构方程建模方法。
背景:鉴于经常使用大麻治疗睡眠和心理健康症状,我们旨在前瞻性地研究在实施COVID-19居家令之前、期间和之后1年的睡眠、心理健康和大麻使用之间的相互关系。方法:来自俄勒冈州和华盛顿州的534名年轻人(21-34岁)之前完成了一项关于他们的睡眠和大麻使用的调查(T0),在最初的居家令就位后大约两个月(T1)和一年后(T2)进行随访,以重新评估睡眠和大麻使用情况。睡眠测量包括是否存在睡眠问题,工作日和周末的睡眠时间。修订后的大麻使用障碍识别测试(CUDIT-R)用于评估过去六个月的大麻使用情况。后续调查还测量了心理健康症状和其他健康行为。我们应用交叉滞后面板模型来评估大麻使用与睡眠在所有三个时间点之间的关系。多变量平行潜在变化评分模型用于评估T1至T2期间大麻使用、睡眠、心理健康症状和其他行为因素的变化之间的关联。结果:在交叉滞后模型中,T0时报告的睡眠问题相关(β = 0.18, p)。结论:我们的研究结果表明,睡眠问题与大麻使用之间存在不一致的双向联系。只有睡眠问题与心理健康指标有关,而大麻使用与此无关。这些协会支持在全球大流行期间采用整体方法设计和实施公共卫生措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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