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美国高中生的睡眠、躯体症状和大麻使用的三个维度。

Three Dimensions of Sleep, Somatic Symptoms, and Marijuana Use in U.S. High School Students.

机构信息

Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.

Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.

出版信息

J Adolesc Health. 2021 Jul;69(1):50-56. doi: 10.1016/j.jadohealth.2020.11.007. Epub 2021 Jan 19.

Abstract

PURPOSE

This study aimed to investigate potential bidirectional relations between key sleep characteristics and somatic symptoms with past 30-day marijuana use in high school students.

METHODS

Participants from the NEXT Generation Health Study (n = 2,770) reported on 10th and 11th grade (W1 and W2) sleep characteristics and somatic symptoms and 12th grade (W3) past 30-day marijuana. Multivariate logistic regressions and path analyses were conducted.

RESULTS

Sleep duration was not associated with marijuana use. However, later W1 chronotype, greater W1 social jetlag, W1 trouble falling asleep, W1 trouble staying asleep, and W1 somatic symptoms were associated with increased odds of W3 past 30-day marijuana use. Path models indicated direct associations between W1 chronotype and W3 past 30-day marijuana use, and W1 social jetlag and W3 past 30-day marijuana use.

CONCLUSIONS

Later sleep timing was longitudinally associated with past 30-day marijuana use. Improved understanding of sleep health, specifically chronotype and social jetlag as risk factors for marijuana use is warranted, which may inform additional screening targets and interventions that address these associated domains.

摘要

目的

本研究旨在调查高中生关键睡眠特征与躯体症状与过去 30 天大麻使用之间的潜在双向关系。

方法

来自下一代健康研究(NEXT Generation Health Study,NEXTHS)的参与者报告了 10 年级和 11 年级(W1 和 W2)的睡眠特征和躯体症状,以及 12 年级(W3)过去 30 天的大麻使用情况。采用多元逻辑回归和路径分析进行分析。

结果

睡眠持续时间与大麻使用无关。然而,W1 晚型生物钟、更大的 W1 社交时差、W1 入睡困难、W1 睡眠维持困难和 W1 躯体症状与 W3 过去 30 天大麻使用的几率增加有关。路径模型表明,W1 生物钟和 W3 过去 30 天大麻使用之间存在直接关联,W1 社交时差和 W3 过去 30 天大麻使用之间也存在直接关联。

结论

睡眠时间较晚与过去 30 天大麻使用呈纵向相关。需要进一步了解睡眠健康,特别是作为大麻使用风险因素的生物钟和社交时差,这可能为进一步的筛查目标和干预措施提供依据,以解决这些相关领域的问题。

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