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Marijuana use patterns and sleep among community-based young adults

TLDR
Differences in sleep characteristics between a community sample of daily users, non-daily marijuana users, and non-users were examined and mood in the relationship between marijuana use and sleep was considered.
Abstract
Marijuana is the most commonly used recreational drug in the United States. Research on the relationship between marijuana and sleep is still in its infancy. The study examined differences in sleep characteristics between a community sample of daily users, non-daily marijuana users, and non-users. A total of 98 subjects (45 M; 53 F) participated. The mean age was 22.3 (standard deviation = 3.0). There were 53 females and 55% of the sample was Caucasian. Recruitment was done online and via print advertisements in the community. Groups were categorized as non-daily users (n = 29), daily users (n = 49), and non-user controls (n = 20). Sleep was characterized by the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Epworth Sleepiness Scale, and the Morningness Eveningness Questionnaire. A standard cut off score of >10 for the Insomnia Severity Index was found in 38.8% of daily users, 10.3% of non-daily users, and 20% of non-users. Pittsburgh Sleep Quality Index scores in daily users (7.0+/-3.8) were higher than non-daily (4.9+/-3.2) and non-user controls (5.0+/-3.7), p = .02. Insomnia Severity Index scores in daily users (7.9+/-6.1) were higher than non-daily (5.1+/-4.3) and non-user controls (4.3+/-4.8), p = .01. Covariate adjusted regression analyses revealed mean Pittsburgh Sleep Quality Index and Insomnia Severity Index scores were significantly lower for non-daily users and controls relative to the daily users. When adjusting for depression and anxiety, these unique associations were not significant. There were no differences in the Epworth Sleepiness Scale or Morningness Eveningness Questionnaire. Daily marijuana users endorsed more sleep disturbance than non-daily users. Future studies should consider mood in the relationship between marijuana use and sleep.

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Citations
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Subcortical Local Functional Hyperconnectivity in Cannabis Dependence

TL;DR: It is suggested that chronic CA is associated with changes in resting-state brain function, particularly in dopaminergic nuclei implicated in psychosis but that are also critical for habit formation and reward processing.
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Sleep Management Among Patients with Substance Use Disorders.

TL;DR: Sleep and substance use disorders commonly co-occur and insomnia that is brief or occurs in the context of active substance use is best treated by promoting abstinence.
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Adolescent substance use and its association to sleep disturbances: A systematic review.

TL;DR: Evidence for associations between substance use and sleep disturbances in Regularity, Timing, Efficiency, and Duration domains may result in sleep deprivation, which poses a serious health risk among growing adolescents.
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Cannabis use and sleep: Expectations, outcomes, and the role of age.

TL;DR: Cannabis users have increased expectations of cannabis being a sleep aid, but few associations existed between cannabis use and sleep outcomes.
References
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TL;DR: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity, which makes it a useful clinical and research tool.
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The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research.

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A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

TL;DR: The development and use of a new scale, the Epworth sleepiness scale (ESS), is described, which is a simple, self-administered questionnaire which is shown to provide a measurement of the subject's general level of daytime sleepiness.
Journal ArticleDOI

Validation of the Insomnia Severity Index as an outcome measure for insomnia research

TL;DR: The clinical validation of the Insomnia Severity Index (ISI) indicates that the ISI is a reliable and valid instrument to quantify perceived insomnia severity and is likely to be a clinically useful tool as a screening device or as an outcome measure in insomnia treatment research.
Journal ArticleDOI

The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response.

TL;DR: Findings provide further evidence that the Insomnia Severity Index is a reliable and valid instrument to detect cases of insomnia in the population and is sensitive to treatment response in clinical patients.
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