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Background: The 2018 Cannabis Act legalizing the production, sale, and use of cannabis for non-medical purposes renewed interest in the importance of ongoing and more detailed monitoring of cannabis consumption and consequences. Some cannabis users will experience impaired control over their use of cannabis, putting them at risk for cannabis use disorder (CUD, sometimes called addiction) and other harms. Including the Severity of Dependence Scale (SDS) in the annual Canadian Community Health Survey (CCHS) would allow for monitoring of one of the more harmful consequences of cannabis use in the post-legalization period.

Data and methods: Data from the nationally representative 2019-2020 CCHS were used to examine cannabis consumers with and without impaired control. Respondents who used cannabis in the past year were categorized according to their SDS scores: those with impaired control (SDS ≥ 4) versus those without impaired control (SDS < 4). Cross-tabulations were used to examine the sociodemographic, mental health, health behaviour and cannabis exposure characteristics of those with impaired control. Multivariable logistic regression models assessed associations between these characteristics and the risk of impaired control. The prevalence of self-reported cannabis-related problems experienced by consumers-with and without impaired control-is also presented.

Results: In 2019-2020, 4.7% of past-year cannabis consumers scored ≥ 4 on the SDS and were considered to have impaired control. Multivariable logistic regression suggested that the odds of having impaired control remained higher for people who were male, were aged 18 to 24 years, were single or never married, were from lower-income households, were diagnosed with an anxiety or a mood disorder, started consuming cannabis at age ≤ 15, and consumed at least monthly.

Interpretation: A better understanding of the characteristics of cannabis consumers experiencing impaired control (a correlate of future CUD or addiction) could help with the development of more effective education, prevention and treatment strategies.

Background: Research has identified an association between sleep and obesity in the general population. It is also important to examine this association in a military population.

Data and methods: Data from the 2019 Canadian Armed Forces Health Survey (CAFHS) were used to estimate the prevalence of sleep duration, sleep quality characteristics, overweight and obesity for Regular Force members. The relationship of sleep duration and sleep quality with obesity was assessed with multivariable logistic regression that controlled for sociodemographic, work and health characteristics.

Results: Females were significantly more likely than males to report meeting recommended sleep duration (7 hours to less than 10 hours; 48.7% vs. 40.4%), trouble falling or staying asleep (32.3% vs. 23.5%), or that sleep was not refreshing (64.0% vs. 57.7%). Difficulty staying awake did not differ significantly between males and females (6.3% vs. 5.4%). Obesity, but not being overweight, was significantly more prevalent among those who had short (less than 6 hours) or borderline (6 hours to less than 7 hours) sleep duration, or poor sleep quality. Compared with recommended sleep duration, short sleep duration (adjusted odds ratio [AOR] 1.3; 95% confidence interval [CI]: 1.2 to 1.6) and borderline sleep duration (AOR 1.2; 95% CI: 1.1 to 1.4) were associated with obesity for males, but not females, in fully controlled models. Sleep quality indicators were not independently associated with obesity.

Interpretation: This study adds to the body of evidence that identifies an association between sleep duration and obesity. The results emphasize the importance of sleep as one of the components of the Canadian Armed Forces Physical Performance Strategy.

Background: To date, population estimates of hypertension prevalence among children and adolescents in Canada have been based on clinical guidelines in the National High Blood Pressure Education Program's 2004 Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents (NHBPEP 2004). In 2017, the American Academy of Pediatrics published updated guidelines in Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents (AAP 2017), followed by Hypertension Canada in 2020 with its publication of Comprehensive Guidelines for the Prevention, Diagnosis, Risk Assessment, and Treatment of Hypertension in Adults and Children (HC 2020). This study compares national child and adolescent hypertension prevalence estimates based on NHBPEP 2004, AAP 2017 and HC 2020.

Data and methods: Six cycles of data spanning 2007 to 2019 from the Canadian Health Measures Survey were used to compare blood pressure (BP) categories and the prevalence of hypertension by sex and age group under all sets of guidelines for children and adolescents aged 6 to 17. The impact of applying AAP 2017 across time and selected characteristics, the resulting reclassification into a higher BP category under AAP 2017, and differences in hypertension prevalence resulting from applying HC 2020 versus AAP 2017 were examined.

Results: Prevalence of Stage 1 hypertension was higher among children and adolescents aged 6 to 17 under AAP 2017 and HC 2020 than under NHBPEP 2004. Overall hypertension prevalence was also higher, and obesity was a major factor associated with being reclassified into a higher BP category under AAP 2017.

Interpretation: Implementation of AAP 2017 and HC 2020 is associated with significant changes in the epidemiology of hypertension. Understanding the impact of applying updated clinical guidelines may help inform population surveillance efforts to track hypertension prevalence among Canada's children and adolescents.

Introduction: Polysubstance use--the use of multiple substances on the same or different occasions--is a risk factor for substance use disorder. However, national surveillance of substance use in Canada has often focused on use of a single substance. To better understand and address polysubstance use, this study characterized the use of vaping products, cigarettes, inhaled cannabis, and alcohol among Canadians aged 15 years and older.

Methods: Nationally representative data from the 2020 Canadian Tobacco and Nicotine Survey were analyzed. Polysubstance use was assessed as use of at least two of the following in the past 30 days: smoking cigarettes, using vaping products (containing nicotine or flavours), using cannabis (in smoked and/or vaped form) and drinking alcohol (daily or weekly frequency).

Results: In 2020, past-30-day use of the examined substances was 4.7% for vaping products (1.5 million), 10.3% for cigarettes (3.2 million), 11.0% for inhaled cannabis (3.4 million), and 37.6% for weekly or daily use of alcohol (11.7 million). Polysubstance use was reported by 12.2% of Canadians (3.8 million) and was more prevalent among young Canadians, men and those who vaped. The most common combination of substances among polysubstance users included inhaled cannabis and weekly or daily use of alcohol (29.0%, or 1.1 million).

Conclusion: The use of vaping products, cigarettes, inhaled cannabis, and alcohol-individually and in combination-is substantial among Canadians. Frequent consumption of alcohol was most prevalent overall and, in contrast to the other examined substances, was common among Canadians of all ages. Findings may inform a polysubstance use approach for prevention policies and programs.

Background: As Canada continues to experience an opioid crisis, it is important to understand the intersection between the demographic, socioeconomic and service use characteristics of those experiencing opioid overdoses to better inform prevention and treatment programs.

Data and methods: The Statistics Canada British Columbia Opioid Overdose Analytical File (BCOOAF) represents people's opioid overdoses between January 2014 and December 2016 (n = 13,318). The BCOOAF contains administrative health data from British Columbia linked to Statistics Canada data, including on health, employment, social assistance and police contacts. Cluster analysis was conducted using the k-prototypes algorithm.

Results: The results revealed a six-cluster solution, composed of three groups (A, B and C), each with two distinct clusters (1 and 2). Individuals in Group A were predominantly male, used non-opioid prescription medications and had varying levels of employment. Individuals in Cluster A1 were employed, worked mostly in construction, had high incomes and had a high rate of fatal overdoses, while individuals in Cluster A2 were precariously employed and had varying levels of income. Individuals in Group B were predominantly female; were mostly taking prescription opioids, with about one quarter or less receiving opioid agonist treatment (OAT); mostly had precarious to no employment; and had low to no income. People in Cluster B1 were primarily middle-aged (45 to 65 years) and on social assistance, while people in Cluster B2 were older, more frequently used health services and had no social assistance income. Individuals in Group C were primarily younger males aged 24 to 44 years, with higher prevalence of having experienced multiple overdoses, were medium to high users of health care services, were mostly unemployed and were recipients of social assistance. Most had multiple contacts with police. Those in Cluster C1 predominantly had no documented use of prescription opioid medications, and all had no documented OAT, while all individuals in Cluster C2 were on OAT.

Interpretation: The application of machine learning techniques to a multidimensional database enables an intersectional approach to study those experiencing opioid overdoses. The results revealed distinct patient profiles that can be used to better target interventions and treatment.

Background: Previous studies examining the cardiometabolic risks associated with physical activity (PA) in workers have predominantly used self-reported measures. Little is known about workers' distinct daily PA patterns and whether these are linked with cardiometabolic risks. This study examined associations between patterns of workers' accelerometer-measured daily PA and four markers of cardiometabolic health.

Data and methods: Working adults (N=8,229; 47% women; average age: 42 years; standard deviation = 0.3) were sampled from the Canadian Health Measures Survey (five cycles: 2007 to 2017). Accelerometer devices measured daily PA, and hierarchical cluster analysis identified distinct activity patterns. Multiple linear regression analyses examined associations between activity patterns and cardiometabolic risk markers (waist circumference, systolic and diastolic blood pressure, and non-high-density lipoprotein [HDL] cholesterol).

Results: Workers were classified into six distinct activity patterns. On average, compared with workers classified in the "lowest activity" pattern, workers with the "moderate consistent activity," "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower waist circumferences; workers with the "fluctuating moderate activity" and "highest activity" patterns were associated with lower systolic blood pressure; the "moderate evening activity" pattern was associated with lower diastolic blood pressure; and workers with the "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower non-HDL cholesterol. "High daytime activity" was associated with lower waist circumference in women, compared with men, and the "moderate consistent activity" and "fluctuating moderate activity" patterns were associated with lower diastolic blood pressure in younger workers (40 years or younger).

Interpretation: Workers with high daily PA levels tended to have the most optimal cardiometabolic health. Some evidence suggested that there are benefits to moderate levels of PA, particularly for lowering waist circumference and non-HDL cholesterol. Findings may assist in identifying workers for PA initiatives to promote cardiometabolic health benefits.

Background: Utility scores are an important tool for evaluating health-related quality of life. Utility score norms have been published for Canadian adults, but no nationally representative utility score norms are available for children and youth.

Data and methods: Health Utilities Index Mark 3 (HUI3) data from two recent cycles of the Canadian Health Measures Survey (i.e., 2016 and 2017, and 2018 and 2019) were used to provide utility score norms for children aged 6 to 11 years and adolescents aged 12 to 17 years. Children younger than 14 years answered the HUI3 under the supervision of an adult, while older children answered without supervision. Utility scores were reported as a weighted average (95% confidence intervals [CIs]) and median values (interquartile range). Utility scores were stratified by sociodemographic and medical characteristics of the child or adolescent. Regression analyses were used to identify predictors of utility scores. All results were weighted using sampling weights provided by Statistics Canada.

Results: Among the 2,297,136 children aged 6 to 11 years and the 2,329,185 adolescents aged 12 to 17 years in the weighted sample, the average utility scores were 0.95 (95% CI: 0.94 to 0.95) and 0.89 (95% CI: 0.87 to 0.90), respectively. Approximately 60% of the children and 34% of the adolescents had a utility score of 1.00. Analyses identified several factors associated with utility scores (e.g., age, chronic condition and income levels), although differences were observed between children and adolescents.

Interpretation: This study provides utility score estimates based on a nationally representative sample of Canadian children and youth. Further research examining the determinants of utility scores of children and adolescents is warranted.

Background: Online digital media are a central part of adolescents' lives, providing opportunities for social connection. However, some research has suggested that online digital media use may be negatively associated with mental health. Little population-based research has examined associations between various types of online digital media use and adolescent mental health.

Data and methods: Data from 13,600 adolescents aged 12 to 17 were drawn from the 2019 Canadian Health Survey on Children and Youth. Adolescents reported on how frequently they used social media, video or instant messaging, and online gaming, as well as their general mental health, eating disorder symptoms and, for those aged 15 to 17, suicidal ideation and attempt. Logistic regression was used to estimate the odds of each outcome from the frequency of each type of digital media use, stratified by sex.

Results: Associations were noted between the frequency of social media and video and instant messaging use, and general mental health, eating disorder symptoms, and suicidal ideation and attempt. After cybervictimization and sleep adequacy were accounted for, associations with eating disorder symptoms remained significant for girls and boys. Never participating in online gaming was associated with lower odds of lower general mental health and suicidal ideation among girls, but not boys.

Interpretation: Different types of online digital media use are differentially associated with mental health outcomes, and associations differ between sexes. The associations between social media and video or instant messaging, and mental ill health may be partially explained by the experience of cybervictimization and sleep adequacy. More research on online gaming, particularly among girls, is needed to clarify associations with mental health.

Background: Mortality rates in Canada have been shown to vary by population group (e.g., Indigenous peoples, immigrants) and social economic status (e.g., income levels). Mortality patterns for some groups, including Black individuals, are not as well known. The objective of this study was to assess cause-specific mortality for Black adults living in Canada.

Methods: Mortality inequalities between Black and White cohort members were estimated by sex using Cox proportional hazard models, based on data from the 2001, 2006 and 2011 Canadian Census Health and Environment Cohorts (CanCHECs). The CanCHEC cycles were combined and followed for mortality between Census Day and December 31, 2016 or 2019, resulting in a follow-up period of 15.6, 13.6 or 8.6 years, depending on the CanCHEC cycle.

Results: Ischemic heart disease mortality was the leading cause of death among adult Black males (12.9%) and females (9.8%), as it is for adult White males (16.4%) and females (12.4%). Despite reduced risk of all-cause mortality among Black males and females, compared with White cohort members, there was notable increased risk for some cause-specific mortality. For instance, in the age-adjusted model, among the 25 causes of death examined, Black males had an increased risk of dying from four causes (HIV/AIDS, prostate cancer, diabetes mellitus and cerebrovascular disease), compared with White males. Similarly, Black females were at an increased risk for 6 causes of death (HIV/AIDS, stomach cancer, corpus uteri cancer, lymphomas and multiple myeloma, diabetes mellitus, and endocrine disorders) out of the 27 causes of death examined. These relative increased risks persisted for most causes of death after adjustment for differences in important social determinants of health.

Interpretation: Results showed substantial variability in the risk of dying by cause of death between Black and White cohort members. An important step in reducing health inequities is the routine identification and surveillance of different health outcomes by population groups. This study helps fill that information gap.

Background: Cancer survival estimates provide insights into the effectiveness of early detection and treatment. The stage of cancer at diagnosis is an important determinant of survival, reflecting the extent and spread at the time of disease detection. This work provides stage-specific, five-year survival results not previously available for Canada.

Data and methods: Data reflect the population-based Canadian Cancer Registry death-linked analytic file covering the period from 2010 to 2017. The stage at diagnosis was determined by the Collaborative Stage Data Collection System. Five-year net survival (NS) estimates for Canada excluding Quebec were derived using the Pohar Perme estimator for the five most commonly diagnosed cancers.

Results: Except for prostate cancer, NS decreased monotonically with increased stage at diagnosis. For example, female breast cancer NS estimates were 100% (stage I), 92% (stage II), 74% (stage III) and 23% (stage IV). Apart from lung cancer, stage I NS exceeded 90% for all cancers studied. The largest sex-specific difference in NS was for lung cancer stage I (female 66%; male 56%). Stage-specific NS generally decreased with age, particularly for early-stage lung cancer. Between the 2010-to-2012 and 2015-to-2017 periods, NS improved among stage IV prostate, female breast and lung cancer cases, as well as for stage I and III lung cancer cases; however, it did not improve at any stage for colon or rectal cancer cases.

Interpretation: The work highlights the importance of detecting cancer early, when treatment is most effective. It demonstrates some progress in stage-specific survival among top cancers in Canada and offers data to inform health policy, including screening, and clinical decisions regarding cancer treatment.