The Impact of the COVID-19 Pandemic on Long-Term Care in Canada.

The COVID-19 pandemic has disproportionately affected Canada's long-term care (LTC) sector, with residents of LTC and retirement homes accounting for 67% of all COVID-19-related deaths as of February 15, 2021. This study investigated the impact of the COVID-19 pandemic on LTC residents across Canada during the first six months of the pandemic, including how care changed for residents, using data from the Canadian Institute for Health Information's LTC and acute care databases. The results suggest that LTC residents received less medical care, with fewer physician visits and hospital transfers compared with the same period in 2019. They also had less contact with family/friends compared with the same period in 2019, which was associated with higher levels of depression. In provinces where it could be measured, the number of LTC resident deaths from all causes was higher than pre-pandemic years during the peak of the first wave, even in jurisdictions with few COVID-19-related deaths in LTC.

Examining the Association Between Physical Activity, Sedentary Behavior and Sport Participation With E-Cigarette Use and Smoking Status in a Large Sample of Canadian Youth.

INTRODUCTION: Youth e-cigarette use is common worldwide, but the profile of e-cigarette users compared with tobacco users is unclear. This study examines how sport participation and activity levels among youth differ between e-cigarette users and smokers. METHODS: Using Canadian data from 38977 grade 9 to 12 students who participated in Year 3 (2014-15) of the COMPASS study, logistic regression models were used to examine the likelihood of sport participation and activity level based on e-cigarette use and smoking status. Pearson's chi-square tests were used to examine subgroup differences by gender. RESULTS: E-cigarette users are more likely to participate in intramural, competitive, and team sports compared to non-users. Current and former smokers are less likely to participate in those sports than non-smokers. Youth e-cigarette users are more likely than non-users to meet the physical activity guidelines. Current smokers are more likely than non-smokers to undertake physical activity at least 60 min daily but less likely than non-smokers to tone at least 3 times per week. Youth e-cigarette users are less likely than non-users to be sedentary less than 2 h daily. Gender differences among males and females show that male e-cigarettes users drive the general relationship. CONCLUSION: Results suggest that e-cigarette users are more likely to engage in physical activity compared to non e-cigarette users. Youth e-cigarette users are more likely to be physically active while the opposite is true for smokers. Although e-cigarettes may be less harmful to health compared to cigarette smoking, the increased uptake among youth of differing profiles should be considered in prevention efforts. IMPLICATIONS: These results highlight the importance of addressing e-cigarette use in youth who undertake health promoting behaviors. Prevention efforts should not focus only on youth who may undertake riskier health habits; e-cigarette prevention programs should go beyond the domain of tobacco control.

An evaluation of school-based e-cigarette control policies' impact on the use of vaping products.

INTRODUCTION: Electronic cigarette (e-cigarette) use among youth is common, and so efforts to regulate its use and availability are continually being made. The school environment represents an important domain for advancing health policy among youth populations. This study examines the impact of school-based e-cigarette control policies on student e-cigarette use in the context of a natural experiment. METHODS: Using three years of longitudinal student and school level data (2013/2014 to 2015/2016), from a sample of 69 secondary schools in Ontario, Canada, a generalized estimating equation approach examined the impact of school-based e-cigarette control policy changes on the prevalence of youth e-cigarette use. The main outcome of interest was current e-cigarette use, while covariates included age, gender, ethnicity, and amount of spending money in dollars per week the student has. Tests of proportion (t-tests) were used to examine whether there were any significant differences in the changes for each intervention school relative to the sample of schools that report no changes in school-level e-cigarette control policies. RESULTS: Estimates from the generalized estimating equation approach suggest that students had lower odds of using e-cigarettes in schools where an e-cigarette control policy was implemented. That is, the e-cigarette control policy decreased the adjusted odds of being an e-cigarette user (OR=0.68; 95% CI: 0.48-0.97). Examining school-specific impact, at four of six schools that had an e-cigarette control policy, the ban on the use of e-cigarettes may have lowered the prevalence of e-cigarette use. CONCLUSIONS: This is the first study to use longitudinal data to study school-level e-cigarette use and the impact of e-cigarette control policy. These results provide new evidence that school-level policies banning the use of e-cigarettes on school property may be effective in reducing e-cigarette use (or preventing it) in their current form, as seen in this natural experiment.

The Impact of Economic Conditions on Healthy Dietary Intake: Evidence From Fluctuations in Canadian Unemployment Rates.

OBJECTIVE: This study examined the impact of economic conditions on fruit and vegetable consumption using multiple waves of the Canadian Community Health Survey. DESIGN: By using metropolitan-area variation in the unemployment rate as a proxy for economic conditions, various measures of fruit and vegetable consumption were regressed on this unemployment rate, using a 2-way fixed effect estimation strategy. MAIN OUTCOME MEASURES: The following measures of fruit and vegetable consumption were considered: (1) total number of times per day respondents ate fruits and vegetables and (2) servings of fruit of vegetable consumption (<5 times/d, 5-10 times/d, and >10 times/d). ANALYSIS: Regression models with location and time-fixed effects were estimated to explore the impact of the unemployment rate with the measures of fruit and vegetable consumption. Pearson's chi-square tests were used to examine subgroup differences by gender. RESULTS: Findings suggested that increases in the unemployment rate (ie, worse economic conditions) reduced fruit and vegetable consumption, and this result was robust across gender and education levels. CONCLUSIONS AND IMPLICATIONS: These findings contribute to a small but important body of literature that focuses specifically on the relationship between economic conditions and fruit and vegetable consumption.

Teasing apart "the tangled web" of influence of policy dialogues: lessons from a case study of dialogues about healthcare reform options for Canada.

BACKGROUND: The knowledge exchange literature suggests that policy dialogues are intended to enhance short-, medium- and long-term capacities of individuals, organizations and health systems to use evidence to inform policy-making. Key features of effective dialogues have been suggested, but the linkages between these features and the realization of improved capacities for evidence-informed policy-making among dialogue attendees and the subsequent influence on policy-making activities are not well understood. METHODS: We conducted a qualitative case study of a series of four policy dialogues that were convened in Canada among national, provincial and regional stakeholders on topics pertaining to healthcare financing and funding in 2011. Data sources included videos of participant perspectives captured during or immediately following each event and follow-up key informant interviews among dialogue participants held 4 years later in 2015. Three conceptual frameworks pertaining to (i) policy dialogues and capacities for evidence use, (ii) factors shaping policy-making across the policy cycle and (iii) factors shaping implementation of evidence guided the thematic analysis. We then synthesized the findings across the three frameworks. RESULTS: The results suggest the potential benefits of policy dialogues described in the literature were developed among the participants at these dialogues. Informants elaborated on how dialogue features influenced their capacities to use evidence, the ideas, interests and institutions during the agenda-setting and policy formulation stages of policy-making and how implementation was affected by characteristics of policy options, individuals, organizations, the external environment and processes. CONCLUSIONS: We present a conceptual framework that furthers our understanding of the potential influence of policy dialogues on the content and mechanisms of policy development and illustrate pathways of influence on various stages of the policy cycle from agenda setting through formulation and implementation. The framework highlights important factors for consideration in designing and evaluating policy dialogues and in supporting post-dialogue knowledge exchange efforts.

The Associations Between E-Cigarettes and Binge Drinking, Marijuana Use, and Energy Drinks Mixed With Alcohol.

PURPOSE: Use of e-cigarettes by youth is proliferating worldwide, but little is known about the behavioral profile of youth e-cigarette users and the association of e-cigarette use with other health-risky behaviors. This study examines the associations between e-cigarette use and tobacco, marijuana, and alcohol use among a large sample of Canadian youth. METHODS: Using Canadian data from 39,837 grade 9 to 12 students who participated in year 3 (2014-2015) of the COMPASS study, logistic regression models were used to examine how current use of e-cigarettes were associated with tobacco, marijuana, binge drinking, and energy drinks mixed with alcohol. Pearson's chi-square tests were used to examine subgroup differences by sex. RESULTS: Overall, 9.75% of respondents were current e-cigarette users. Current cigarette smokers (odds ratio [OR] = 3.009), current marijuana users (OR = 5.549), and noncurrent marijuana users (OR = 3.653) were more likely to report using e-cigarettes than noncigarette smokers and nonmarijuana users. Gender differences among males and females showed higher risk of e-cigarette use among female current marijuana users (OR = 7.029) relative to males (OR = 4.931) and female current smokers (OR = 3.284) compared to males (OR = 2.862). Compared to nonbinge drinkers, weekly (OR = 3.253), monthly (OR = 3.113), and occasional (OR = 2.333) binge drinkers were more likely to use e-cigarettes. Similarly, students who consume energy drinks mixed with alcohol (OR = 1.650) were more likely to use e-cigarettes compared to students who do not consume them. CONCLUSIONS: We identify that youth who binge drink or use marijuana have a greater increased risk for using e-cigarettes compared to cigarette smokers. These data suggest that efforts to prevent e-cigarette use should not only be discussed in the domain of tobacco control.