Prevalence and factors associated with non-medical prescription stimulant use to promote wakefulness in young adults.

Objective: This study examined the prevalence and factors associated with non-medical use of prescription stimulants to promote wakefulness. Participants: We surveyed 3,160 university students aged 18-35 between June 2016 and May 2017. Method: Participants reported whether they used prescription stimulants non-medically to stay awake and completed measures of anxiety and depressive symptoms, sleep quality, insomnia, daytime sleepiness, and attitudes toward non-medical prescription drug use. Univariate and multivariate regression models were used. Results: Prevalence of non-medical prescription stimulant use to promote wakefulness was 3.1%. The following factors remained significant in the multivariate model: alcohol, tobacco, and nicotine vapor use, attitude toward non-medical use of prescription medication, poor sleep quality, and daytime sleepiness. Conclusion: Poor sleep, substance use and more liberal attitudes to non-medical prescription drug use were associated with the misuse of stimulants to promote wakefulness. Prevention/intervention programs should promote sleep hygiene and highlight the risks of using prescription drugs non-medically.

Mindful larks and lonely owls: The relationship between chronotype, mental health, sleep quality, and social support in young adults.

Chronotype is related to mental health, with evening chronotypes being more susceptible to psychological disorders than intermediate and morning types. The present study investigated the relationship between chronotype, mental health, sleep quality, and social support in Canadian young adults. We surveyed 3160 university students aged 18-35 years. Participants completed the Morningness-Eveningness Questionnaire, the Hospital Anxiety and Depression Scale, the Mindful Attention Awareness Scale, the Pittsburgh Sleep Quality Index, and the Medical Outcomes Study - Social Support Survey. We conducted Bonferroni-corrected one-way analyses of covariance with post hoc paired comparisons to determine the relationship between the aforementioned variables, with age and sex as covariates. We further looked at the moderation of social support on the relationship between chronotype and sleep quality. Overall, 55%, 36% and 9% of participants were classified as intermediate, evening and morning types, respectively. There was a significant difference between chronotype on levels of depression, anxiety, and sleep quality, with evening types reporting more severe symptomology than morning-types and intermediate types. Morning types reported greater levels of overall social support and mindfulness. Evening types reported the lowest levels of all types of social support. Social support did not moderate the relationship between chronotype and sleep quality. This study further demonstrates the association between worse psychological well-being and eveningness and between more social support, and mindfulness in morning chronotype young adults. Education and intervention are warranted to help evening chronotypes manage the potential negative features of their circadian rhythm, as well as to cultivate a greater sense of social support and mindfulness.

Associations between device use before bed, mood disturbance, and insomnia symptoms in young adults.

OBJECTIVES: Young adults (YAs) are vulnerable to insomnia and mood disturbance. YAs also engage in back-lit device use which has been implicated in the development and maintenance of insomnia. This study explored the association between device use, mood disturbance, and insomnia symptoms in YAs. PARTICIPANTS: Two thousand three hundred and ninety students at a Canadian university, aged 18-35 years. DESIGN: Cross-sectional online survey MEASUREMENTS: Participants self-reported duration and frequency of back-lit device use before sleep and during the night. The Insomnia Severity Index and the Hospital Anxiety and Depression Scale were used to measure symptoms. Univariate and multivariate logistic regressions explored associations between device use behaviors and insomnia symptoms. A hierarchical regression analysis identified the unique contribution of back-lit device use on insomnia severity adjusting for mood disturbance, age, and sex. RESULTS: Using a back-lit device for 1-2 hours after lights out (adjusted odds ratio [AOR] = 1.50, p < 0.001), being awakened by a device (AOR = 1.34, p = 0.002), and believing that device use negatively impacts sleep (AOR = 2.27, p < 0.001) were associated with insomnia symptoms. Depression contributed to the greatest unique variance to insomnia (11.8%), followed by anxiety (7.2%). Duration of device use after lights out, being awakened by a device and a negative perception of device use on sleep accounted for an additional 3%. CONCLUSIONS: Device use contributed to insomnia symptoms over and above mood disturbance, age, and biological sex in YAs. Additional research is needed to determine the direction of effect and inform prevention/intervention programs specific to device use and insomnia symptomology in this population.

A decade's difference: 10-year change in insomnia symptom prevalence in Canada depends on sociodemographics and health status.

INTRODUCTION: Insomnia is recognized as a public health issue. The objectives of this study were to characterize and compare the prevalence of insomnia symptoms in the Canadian population in 2002 and 2012, and to identify sociodemographic and psychosocial predictors of trouble sleeping. METHODS: Data from adult participants in the Canadian Community Health Survey-Mental Health cycles 2000-2002 (n = 34,118) and 2011-2012 (n = 23,089) were used. Participants responded to the question "How often do you have trouble going to sleep or staying asleep?", with those who indicated "most of the time" or "all of the time" classified as having insomnia symptoms. Logistic regressions, adjusted for covariates, were used to examine differences between cycles. RESULTS: The unadjusted prevalence of insomnia symptoms increased from 15.6% to 17.1% between 2002 and 2012, representing an absolute increase of 1.5%. The likelihood of insomnia symptoms was significantly influenced by age, sex, education, physical health, and mental health status. A 3-way year-age-sex interaction was statistically significant such that women aged 40-59 demonstrated approximately 29% increased likelihood of insomnia symptoms from 2002 to 2012. This was reduced to 24% when adjusted for physical and mental health. There were no significant differences for men across age groups. CONCLUSION: Over a 10-year period, the prevalence of insomnia symptoms increased in Canada. This trend appears to be driven in part by greater levels of insomnia symptoms among middle-aged women.