Data sources and sample
Data were drawn from the Canadian Community Health Survey, 2015-16. A detailed description of this survey can be found at the website of Statistics Canada.17 Briefly, this survey collected information on health status, healthcare utilization, and health determinants for the Canadian population, aged 12 years or older, living in the 10 provinces and 3 territories. Interviews were conducted in person using computer-assisted personal interviewing or computer-assisted telephone interviewing. All participants gave informed consent and ethical approval was obtained from the relevant policy committees at Statistics Canada.
We restricted this study to participants from three provinces (Ontario, Manitoba, and Saskatchewan) that selected the optional survey module on sleep. Inclusion criteria: 1) 18 years or older (because sleep patterns in adolescents and adults are very different); 2) diagnosed with one or more common chronic diseases, including diabetes, hypertension, hyperlipidemia, heart disease, stroke, cancer, arthritis, scoliosis, fibromyalgia, osteoporosis, back problems, asthma, chronic obstructive pulmonary disease, migraine headaches, chronic fatigue syndrome, multiple chemical sensitivities, and Alzheimer’s disease or any other dementia; and 3) had complete information on main study variables, including sleep problems, suicidal behaviors, healthcare utilization, and mental illness. Finally, 22,700 participants deemed eligible for the present study.
Sleep problems
Sleep problems comprised extreme sleep durations and insomnia. Sleep duration was assessed using the question “How long do you usually spend sleeping each night?” Participants were instructed not to include time spent resting, and responses were recorded at hourly intervals. To capture possible non-linear relationships, sleep duration was categorized into five groups: <5, 5 to < 7, 7 to < 8, 8 to < 10, and ≥ 10 hours, with 7 to < 8 hours as the reference group.18, 19 Extreme sleep durations were defined as either very short sleep (< 5 hours) or very long sleep duration (≥ 10 hours).
Insomnia was estimated through the question “How often do you have trouble going to sleep or staying asleep?” with response options: never, rarely, sometimes, most of the time, and all the time.20,21 According to previous studies, participants were considered having insomnia if they answered most of the time or all of the time.22
Suicidal behaviours, and healthcare utilization
Suicidal behaviors, including suicidal ideation, plans, and attempts, were assessed with a series of questions. Participants were asked whether he or she had ever seriously contemplated suicide (yes or no), and whether this experience happened in the past year (yes or no). Participants were asked whether he or she had ever made a plan to seriously attempt suicide (yes or no), and whether this experience happened in the past year (yes or no). Participants were also asked whether he or she had ever seriously attempted suicide (yes or no), but this was not included in the current analysis due to low occurrence.
Healthcare utilization was evaluated by comparing whether the participants had ≥ 2 emergency room visits (yes or no), ≥ 5 consultations with medical doctor (yes or no), or ≥ 5 consultations with nurse (yes or no) in the past year.
Mental illness
Mental illness was defined as a self-reported mood or anxiety disorder.23,24 Participants were asked whether he or she had a mood disorder such as depression, bipolar disorder, mania or dysthymia (yes or no), and whether he or she had an anxiety disorder such as a phobia, obsessive–compulsive disorder or a panic disorder (yes or no). The definition was considered being reliable given its similarity with administrative data and has been widely adopted.25,26
Covariates
Sociodemographic and lifestyle covariates included age, sex, visible minority, body mass index (BMI), marital status, education, household income, smoking status, physical activity, illicit drug use, number of chronic diseases, and province of residence.
Statistical analysis
All analyses were conducted using STATA 15.0 (Stata Corp., College Station, TX, USA). Sampling weights were applied to ensure that the estimates reflected the general Canadian population. Bootstrap methods were used to account for the complex survey design. Descriptive statistics were used to summarize the characteristics of participants. Comparisons of the prevalence across different sleep categories were assessed by Pearson’s χ2 test. Bonferroni method for multiple comparisons was applied in all Pearson’s χ2 tests. Logistic regression models were performed to examine the association of sleep problems with suicidal behaviours and healthcare utilization. Each sleep problem was entered into the models separately. Mediation analyses were conducted using the generalized structural equation modelling (gsem) command following the Baron and Kenny’s steps.27 After generating the model with gsem, the indirect (mediating) effect and the proportion of main associations represented by indirect effect can be tested directly with a product-of-coefficients test using the nlcom (nonlinear combination of estimators) command.28