Objectives: Poor sleep is a common side effect of cancer. Cannabis is increasingly used to manage cancer treatment-related symptoms, including sleep. This study investigated factors related to cannabis use for sleep among Canadian cancer survivors.
Method: Adult Canadian cancer survivors ( = 940) were recruited via the Angus Reid Institute and completed an online, cross-sectional survey. Univariate and multiple binomial logistic regression models identified factors associated with cannabis use for sleep.
Results: Of the participants (M = 64.5 yrs; Women = 51.1%; White = 92.9%), 25.1% ( = 236) currently use cannabis for sleep. Participants were at greater odds of using cannabis for sleep if they identified as a gender other than man or woman (AOR = 11.132), were diagnosed with multiple medical conditions (2:AOR = 1.988; 3+:AOR = 1.902), two psychological conditions (AOR = 2.171), multiple sleep disorders (AOR = 2.338), insomnia (AOR = 1.942), bone (AOR = 6.535), gastrointestinal (AOR = 4.307), genitourinary (AOR = 2.586), hematological (AOR = 4.739), or an unlisted cancer (AOR = 3.470), received hormone therapy only (AOR = 3.054), drink heavily (AOR = 2.748), or had mild insomnia (AOR = 1.828). Older participants (AOR=.972) and those with sleep apnea were less likely to use cannabis for sleep (AOR=.560).
Conclusion: Given its prevalence, research is needed to understand how factors associated with cannabis use as a sleep aid among Canadian cancer survivors may influence its use and effectiveness and whether these factors are barriers to accessing evidence-based treatments.
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http://dx.doi.org/10.1080/15402002.2024.2361015 | DOI Listing |
BMC Complement Med Ther
January 2025
Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
Background: Patient engagement (PE) in clinical trials has gained importance yet remains uncommon, particularly in patients with mild cognitive impairment (MCI), a critical precursor to Alzheimer's disease (AD). Cannabidiol (CBD) shows potential in slowing MCI progression due to its neuroprotective and anti-inflammatory properties. In CBD research, PE is underutilized too.
View Article and Find Full Text PDFJ Psychiatr Pract
January 2025
Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA.
Insomnia, characterized by difficulty initiating or maintaining sleep, or poor sleep quality, is highly prevalent among individuals with substance use disorders (SUDs). The relationship between the 2 conditions is often bidirectional. We reviewed the impact of various substances (alcohol, stimulants, opioids, and cannabis) on sleep architecture and their potential to contribute to insomnia.
View Article and Find Full Text PDFTherapie
January 2025
Service de pharmacie clinique, pôle 8 cancérologie et spécialités médicales, centre hospitalier de Valenciennes, 59300 Valenciennes, France.
Objective: A supply shortage of dronabinol occurred between December 2023 and February 2024, forcing chronic pain patients to discontinue this treatment. We assessed the impact of this shortage on patients in our hospital.
Method: A retrospective observational study of patients treated with dronabinol was conducted.
Addict Behav
December 2024
Department of Psychiatry, University of Missouri, USA.
Objective: Alcohol and cannabis are two of the most widely used substances in the United States, where sleep problems are also prominent. Although poor sleep is linked to substance use, little is known about how prior-night sleep contributes to next-day decisions to use substances in daily life. This study tested the impact of prior-night sleep duration and quality on momentary motives for alcohol (Aim 1) and cannabis use (Aim 2).
View Article and Find Full Text PDFJ Am Coll Health
January 2025
Department of Psychology, University of St. Thomas, St. Paul, Minnesota, USA.
Objective: To determine the direct and indirect effects of sexual assault on sleep health in varsity athletes.
Participants: Varsity athletes ( = 2,910) who completed the Fall 2019 or 2020 administrations of the American College Health Association's National College Health Assessment III.
Methods: We combined exploratory factor analysis and structural equation modeling to evaluate relationships between four predictor variables: and and two response variables: and
Results: Overall, 9.
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