The equitable impact of sugary drink taxation structures on sugary drink consumption among Canadians: a modelling study using the 2015 Canadian Community Health Survey-Nutrition.

OBJECTIVE: Estimate the impact of 20 % flat-rate and tiered sugary drink tax structures on the consumption of sugary drinks, sugar-sweetened beverages and 100 % juice by age, sex and socio-economic position. DESIGN: We modelled the impact of price changes - for each tax structure - on the demand for sugary drinks by applying own- and cross-price elasticities to self-report sugary drink consumption measured using single-day 24-h dietary recalls from the cross-sectional, nationally representative 2015 Canadian Community Health Survey-Nutrition. For both 20 % flat-rate and tiered sugary drink tax scenarios, we used linear regression to estimate differences in mean energy intake and proportion of energy intake from sugary drinks by age, sex, education, food security and income. SETTING: Canada. PARTICIPANTS: 19 742 respondents aged 2 and over. RESULTS: In the 20 % flat-rate scenario, we estimated mean energy intake and proportion of daily energy intake from sugary drinks on a given day would be reduced by 29 kcal/d (95 % UI: 18, 41) and 1·3 % (95 % UI: 0·8, 1·8), respectively. Similarly, in the tiered tax scenario, additional small, but meaningful reductions were estimated in mean energy intake (40 kcal/d, 95 % UI: 24, 55) and proportion of daily energy intake (1·8 %, 95 % UI: 1·1, 2·5). Both tax structures reduced, but did not eliminate, inequities in mean energy intake from sugary drinks despite larger consumption reductions in children/adolescents, males and individuals with lower education, food security and income. CONCLUSIONS: Sugary drink taxation, including the additional benefit of taxing 100 % juice, could reduce overall and inequities in mean energy intake from sugary drinks in Canada.

Can a health warning label diminish the persuasive effects of health-oriented nutrition advertising on ready-to-drink alcohol product packaging? A randomized experiment.

BACKGROUND AND AIMS: A health warning label (HWL) cautioning about the link between alcohol and cancer may be able to communicate alcohol risks to consumers and potentially counter health-oriented nutrition advertising on ready-to-drink alcoholic beverages. This study aimed to examine the independent and combined effects of nutrient content claims (e.g. 0 g sugar) and a HWL on perceived product characteristics and intentions to consume, and whether these effects differed by gender and age. DESIGN: A between-subjects randomized experiment. Participants were randomized to view one of six experimental label conditions: nutrient content claims plus nutrition declaration (NCC + ND), ND only, NCC + ND + HWL, ND + HWL, HWL only and no NCC, ND or HWL, all on a ready-to-drink (RTD) vodka-based soda container. SETTING AND PARTICIPANTS: Alcohol consumers (n = 5063; 52% women) in Canada aged 18-64 recruited through a national online panel. MEASUREMENTS: Participants completed ratings of perceived product characteristics, perceived product health risks, and intentions to try, buy, binge and drink the product. FINDINGS: Compared with the reference condition NCC + ND (current policy scenario in Canada), the other five experimental label conditions were associated with lower ratings for perceiving the product as healthy. All experimental conditions with a HWL were associated with lower product appeal, higher risk perceptions and reduced intentions to try, buy and binge. The experimental condition with a HWL only was associated with intentions to consume fewer cans in the next 7 days (ß = -0.72, 95% confidence interval [CI] = -1.37,-0.08) versus the reference. Few interactions were observed, suggesting that label effects on outcomes were similar by gender and age. CONCLUSIONS: Health warning labels on alcohol packaging appear to be associated with lower product appeal, higher perceived health risks and reduced consumption intentions, even in the presence of nutrient content claims.

Socio-economic inequities in emergency department visits for wholly alcohol-attributable acute and chronic harms in Canada, 2003-2017.

INTRODUCTION: Individuals with low socio-economic position (SEP) experience disproportionate alcohol-attributable harm. Limited research has investigated whether these inequities are driven by alcohol-attributable conditions that are acute or chronic. The study aimed to estimate the sex-specific associations between SEP and incident wholly alcohol-attributable emergency department (ED) visits for acute and chronic harms, respectively. METHODS: A cohort study was conducted using the Canadian Community Health Survey (2003-2008) linked to the National Ambulatory Care Reporting System (2002-2017) in Alberta and Ontario. SEP was measured using educational attainment. Acute and chronic ED visits were captured in the National Ambulatory Care Reporting System follow-up data. Hazard models were fit to estimate the association between SEP and acute and chronic wholly alcohol-attributable ED visits. RESULTS: The analytical sample included 88,865 respondents. In men and women, individuals with lower SEP had increased hazard of acute ED visits (women hazard ratio [HR] 1.75, 95% confidence interval [CI] 1.07-2.87; men HR 3.47, 95% CI 2.29-5.25) and chronic ED visits (women HR 2.24, 95% CI 1.04-4.80; men HR 5.02, 95% CI 2.88-8.75). Acute and chronic wholly alcohol-attributable ED visit rates were higher in men than women. DISCUSSION AND CONCLUSIONS: The findings indicated lower SEP was associated with greater harms for both acute and chronic wholly alcohol-attributable ED visits when compared to their higher SEP counterparts. We conclude that gradients in SEP are associated with acute and chronic harms. These results highlight a need for equitable interventions that reduce the absolute burden of inequities in both acute and chronic wholly alcohol-attributable ED visits.

Income inequality and deaths of despair risk in Canada, identifying possible mechanisms.

BACKGROUND: Declines in life expectancy in developed countries have been attributed to increases in drug-related overdose, suicide, and liver cirrhosis, collectively referred to as deaths of despair. Income inequality is proposed to be partly responsible for increases in deaths of despair rates. This study investigated the associations between income inequality, deaths of despair risk in Canada, and potential mechanisms (stress, social cohesion, and access to health services). METHODS: We obtained data from the Canadian Community Health Survey and the Canadian Vital Statistics Database from 2007 to 2017. A total of 504,825 Canadians were included in the analyses. We used multilevel survival analyses, as measured by the Gini coefficient, to examine the relationships between income inequality and mortality attributed to drug overdose, suicide, death of despair, and all-cause. We then used multilevel path analyses to investigate whether each mediator (stress, social cohesion, and access to mental health professionals), which were investigated using separate mediation models, influenced the relationship between income inequality and drug overdose, suicide, deaths of despair, and all-cause death. RESULTS: Adjusted multilevel survival analyses demonstrated significant relationships between a one-SD increase in Gini coefficient was associated with an increased hazard for drug overdose (HRadj. = 1.28; 95 CI = 1.05, 1.55), suicide (HRadj. = 1.24; 95 CI = 1.06, 1.46), deaths of despair (HRadj. = 1.26; 95 CI = 1.12, 1.40), and all-cause death (HRadj. = 1.04; 95 CI = 1.02, 1.07). Adjusted path analyses indicated that stress, social cohesion, and access to mental health professionals significantly mediated the association between income inequality and mortality outcomes. CONCLUSION: Income inequality is associated with deaths of despair and this relationship is mediated by stress, social cohesion, and access to mental health professionals. Findings should be applied to develop programs to address income inequality in Canada.

The Impacts of Selling Alcohol in Grocery Stores in Ontario, Canada: A Before-After Study.

OBJECTIVE: From 2015 to 2019, the Government of Ontario expanded privatized sales of alcohol, licensing 450 grocery stores to sell beer, cider, and wine. The impacts of a nearby grocery store gaining an alcohol license on adults' alcohol use in Ontario are examined, including whether impacts differed by gender. METHOD: Data from 2015-2019 Canadian Community Health Survey participants in Ontario (age ≥ 20 years), living within 1,000 m and 1,500 m of grocery stores that gained a license to sell alcohol and propensity-matched controls were included (1,000 m n = 14,052, 1,500 m n = 30,486). Alcohol use outcomes included past-7-day number of standard drinks consumed, near-daily drinking (≥4 days/week), and heavy drinking (5+ drinks in men/4+ in women, at least once/month). Gender-specific difference-in-differences (DiD) analyses compared changes in alcohol use before and after intervention in intervention and control populations. RESULTS: Decreases in past-7-day drinks, near-daily drinking, and heavy drinking were observed after intervention in both intervention and control populations. At the 1,000 m level, adjusted DiD analyses showed past-7-day drinking in women (risk ratio = 1.21, 95% CI [0.88, 1.60]) and heavy drinking in men (odds ratio = 1.38, 95% CI [0.92, 2.08]) had effect sizes above 1, a relative increase over controls, although confidence intervals crossed 1. Findings did not indicate significant differences in alcohol use in intervention relative to controls for other alcohol use measures and at 1,500 m. CONCLUSIONS: Findings suggest no association between a partial alcohol deregulation initiative in Ontario and alcohol use from 2015 to 2019. It is important to monitor the impacts on alcohol use over time as further alcohol deregulation plans in Ontario and other jurisdictions are considered.

Income inequality and mental health in adolescents during COVID-19, results from COMPASS 2018-2021.

INTRODUCTION: Understanding the inequitable impacts of the ongoing COVID-19 pandemic on youth mental health are leading priorities. Existing research has linked income inequality in schools to adolescent depression, however, it is unclear if the onset of the pandemic exacerbated the effects of income inequality on adolescent mental health. The current study aimed to quantify the association between income inequality and adolescent mental health during COVID-19. MATERIAL AND METHODS: Longitudinal data were taken from three waves (2018/19 to 2020/21) of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) school-based study. Latent Growth Curve modelling was used to assess the association between Census District (CD)-level income inequality and depressive symptoms before and after the onset of COVID-19. RESULTS: The study sample included 29,722 students across 43 Census divisions in British Columbia, Alberta, Ontario, and Quebec. The average age of the sample at baseline was 14.9 years [standard deviation (SD) = 1.5] and ranged between 12 and 19 years of age. Most of the sample self-reported as white (76.3%) and female (54.4%). Students who completed the COMPASS survey after the onset of COVID reported 0.20-unit higher depressive scores (95% CI = 0.16, 0.24) compared to pre-COVID. The adjusted analyses indicated that the association between income inequality on anxiety scores was strengthened following the onset of COVID-19 (ß = 0.02, 95% CI = 0.0004, 0.03), indicating that income inequality was associated with a greater increase in anxiety scores during COVID-19. DISCUSSION: The adjusted results indicate that the association between income inequality and adolescent anxiety persisted and was heightened at the onset of COVID-19. Future studies should use quasi-experimental methods to strengthen this finding. The current study can inform policy and program discussions regarding the effects of the COVID-19 pandemic and pandemic recovery for young Canadians and relevant social policies for improving adolescent mental health.

The distribution of alcohol-attributable healthcare encounters across the population of alcohol users in Ontario, Canada.

Recent evidence suggests there may be no safe level of alcohol use as even low levels are associated with increased risk for harm. However, the magnitude of the population-level health burden from lower levels of alcohol use is poorly understood. The objective was to estimate the distribution of alcohol-attributable healthcare encounters (emergency department (ED) visits and hospitalizations) across the population of alcohol users aged 15+ in Ontario, Canada. Using the International Model of Alcohol Harms and Policies (InterMAHP) tool, wholly and partially alcohol-attributable healthcare encounters were estimated across alcohol users: (1) former (no past-year use); (2) low volume (≤67.3 g ethanol/week); (3) medium volume (>67.3-134.5 g ethanol/week for women and >67.3-201.8 g ethanol/week for men); and (4) high volume (>134.5 g ethanol/week for women and >201.8 g ethanol/week for men). The alcohol-attributable healthcare burden was distributed across the population of alcohol users. A small population of high volume users (23% of men, 13% of women) were estimated to have contributed to the greatest proportion of alcohol-attributable healthcare encounters, particularly among men (men: 65% of ED visits and 71% of hospitalizations, women: 49% of ED visits and 50% of hospitalizations). The 71% of women low and medium volumes users were estimated to have contributed to a substantial proportion of alcohol-attributable healthcare encounters (47% of ED visits and 34% of hospitalizations). Findings provide support for universal alcohol policies (i.e., delivered to the entire population) for reducing population-level alcohol-attributable harm in addition to targeted policies for high-risk users.

Bridging ethics and epidemiology: Modelling ethical standards of health equity.

Health inequities are differences in health that are 'unjust'. Yet, despite competing ethical views about what counts as an 'unjust difference in health', theoretical insights from ethics have not been systematically integrated into epidemiological research. Using diabetes as an example, we explore the impact of adopting different ethical standards of health equity on population health outcomes. Specifically, we explore how the implementation of population-level weight-loss interventions using different ethical standards of equity impacts the intervention's implementation and resultant population health outcomes. We conducted a risk prediction modelling study using the nationally representative 2015-16 Canadian Community Health Survey (n = 75,044, 54% women). We used the Diabetes Population Risk Tool (DPoRT) to calculate individual-level 10-year diabetes risk. Hypothetical weight-loss interventions were modelled in individuals with overweight or obesity based on each ethical standard: 1) health sufficiency (reduce DPoRT risk below a high-risk threshold (16.5%); 2) health equality (equalize DPoRT risk to the low risk group (5%)); 3) social-health sufficiency (reduce DPoRT risk <16.5 in individuals with lower education); 4) social-health equality (equalize DPoRT risk to the level of individuals with high education). For each scenario, we calculated intervention impacts, diabetes cases prevented or delayed, and relative and absolute educational inequities in diabetes. Overall, we estimated that achieving health sufficiency (i.e., all individuals below the diabetes risk threshold) was more feasible than achieving health equality (i.e., diabetes risk equalized for all individuals), requiring smaller initial investments and fewer interventions; however, fewer diabetes cases were prevented or delayed. Further, targeting only diabetes inequalities related to education reduced the target population size and number of interventions required, but consequently resulted in even fewer diabetes cases prevented or delayed. Using diabetes as an example, we found that an explicit, ethically-informed definition of health equity is essential to guide population-level interventions that aim to reduce health inequities.

The association between social fragmentation and deaths attributable to alcohol, drug use, and suicide: Longitudinal evidence from a population-based sample of Canadian adults.

BACKGROUND: Social fragmentation has been theorized and empirically associated with suicide in prior research. However, less is known about whether social fragmentation is associated with deaths attributed to alcohol use or drug use. This research examined the association between social fragmentation and risk for deaths attributable to alcohol use, drug use, and suicide (collectively known as deaths of despair) among Canadian adults. METHODS: A weighted sample representing 15,324,645 Canadians within 288 census divisions between 2006 and 2019 was used. Mortality data from the Canadian Vital Statistics Database (alcoholic liver disease, drug use, and suicide) was linked with census division socioeconomic data from the 2006 Canadian census using the Canadian Census Health and Environment Cohorts. Social fragmentation at the census division was created based on the Congdon Index. Cox-proportional hazard regression with survey weights and the sandwich estimator were used to account for clustering of individuals (level-1) nested within census divisions (level-2). RESULTS: After adjusting for individual and census division confounders, social fragmentation was positively associated with all-cause mortality (HR = 1.04; 95% CI: 1.02, 1.07), suicide (HR = 1.09; 95%CI: 1.01, 1.18), drug overdose related mortality (HR = 1.13; 95%CI: 1.03, 1.24), and deaths of despair (HR = 1.10; 95% CI: 1.04, 1.16), and not significantly associated with alcohol related liver disease (HR = 1.06; 95% CI: 0.91, 1.23). CONCLUSION: Social fragmentation is associated with an increased hazard of deaths of despair among Canadian adults. Efforts to improve social cohesion in areas that are highly socially fragmented need to be evaluated.

Artificial intelligence and the work-health interface: A research agenda for a technologically transforming world of work.

The labor market is undergoing a rapid artificial intelligence (AI) revolution. There is currently limited empirical scholarship that focuses on how AI adoption affects employment opportunities and work environments in ways that shape worker health, safety, well-being and equity. In this article, we present an agenda to guide research examining the implications of AI on the intersection between work and health. To build the agenda, a full day meeting was organized and attended by 50 participants including researchers from diverse disciplines and applied stakeholders. Facilitated meeting discussions aimed to set research priorities related to workplace AI applications and its impact on the health of workers, including critical research questions, methodological approaches, data needs, and resource requirements. Discussions also aimed to identify groups of workers and working contexts that may benefit from AI adoption as well as those that may be disadvantaged by AI. Discussions were synthesized into four research agenda areas: (1) examining the impact of stronger AI on human workers; (2) advancing responsible and healthy AI; (3) informing AI policy for worker health, safety, well-being, and equitable employment; and (4) understanding and addressing worker and employer knowledge needs regarding AI applications. The agenda provides a roadmap for researchers to build a critical evidence base on the impact of AI on workers and workplaces, and will ensure that worker health, safety, well-being, and equity are at the forefront of workplace AI system design and adoption.

Validation of a parent proxy-reported beverage screener compared to a 24-hour dietary recall for the measurement of sugar-containing beverage intake among young children.

Measures that can provide reasonably accurate estimates of sugar-containing beverage (SCB) intake among children are needed. The primary objective of this study was to evaluate the relative validity of a short beverage screener (Nutrition and Health Questionnaire, NHQ) compared to a 24-hour recall (Automated Self-Administered 24-h (ASA24) Dietary Assessment Tool-Canada) for assessing parent proxy-reported daily SCB intake among children aged 4-14 years from the TARGet Kids! research network in Toronto, Canada. Children for whom a NHQ completed between March 2018 and June 2019 and an ASA24 completed within one year were included. A total of 471 parents who completed the NHQ beverage screener were also asked to complete the ASA24. One-hundred sixty-three completed the ASA24 and of this group, 109 were analyzed. Estimates of daily intake of 100% juices, sweetened drinks and soda, and total SCBs from the two measures were compared. The mean difference in beverage intake, Spearman correlations, and Bland-Altman plots were estimated for continuous measures. The kappa coefficient, sensitivity, and specificity were calculated for dichotomous measures of any daily intake versus none. The mean difference in total SCB intake between the NHQ and ASA24 was 0.14 cups/day (95% CI 0.01, 0.29) and the correlation was 0.43 (95% CI 0.26, 0.57). Sensitivity and specificity for any daily SCB intake were 0.63 and 0.76, respectively. Overall, parent proxy-reporting of children's total SCB intake from a beverage screener can provide reasonable estimates of SCB intake when detailed dietary assessment is not feasible.

Trends in alcohol-attributable hospitalisations and emergency department visits by age, sex, drinking group and health condition in Ontario, Canada.

INTRODUCTION: Alcohol-attributable harms are increasing in Canada. We described trends in alcohol-attributable hospitalisations and emergency department (ED) visits by age, sex, drinking group, attribution and health condition. METHODS: Hospitalisation and ED visits for partially or wholly alcohol-attributable health conditions by age and sex were obtained from population-based health administrative data for individuals aged 15+ in Ontario, Canada. Population-level alcohol exposure was estimated using per capita alcohol sales and alcohol use data. We estimated the number and rate of alcohol-attributable hospitalisations (2008-2018) and ED visits (2008-2019) using the International Model of Alcohol Harms and Policies (InterMAHP). RESULTS: Over the study period, the modelled rates of alcohol-attributable health-care encounters were higher in males, but increased faster in females. Specifically, rates of alcohol-attributable hospitalisations and ED visits increased by 300% (19-76 per 100,000) and 37% (774-1,064 per 100,000) in females, compared to 20% (322-386 per 100,000) and 2% (2563-2626 per 100,000) in males, respectively. Alcohol-attributable ED visit rates were highest among individuals aged 15-34, however, increased faster among individuals aged 65+ (females: 266%; males: 44%) than 15-34 years (females:+17%; males: -16%). High-volume drinkers had the highest rates of alcohol-attributable health-care encounters; yet, low-/medium-volume drinkers contributed substantial hospitalisations (11%) and ED visits (36%), with increasing rates of ED visits in females drinking low/medium volumes. DISCUSSION AND CONCLUSIONS: Alcohol-attributable health-care encounters increased overall, and faster among females, adults aged 65+ and low-/medium-volume drinkers. Monitoring trends across subpopulations is imperative to inform equitable interventions to mitigate alcohol-attributable harms.

Evaluation of the gap in delivery of opioid agonist therapy among individuals with opioid-related health problems: a population-based retrospective cohort study.

AIMS: Although opioid-related harms have reached new heights across North America, the size of the gap in opioid agonist therapy (OAT) delivery for opioid-related health problems is unknown in most jurisdictions. This study sought to characterize the gap in OAT treatment using a cascade of care framework, and determine factors associated with engagement and retention in treatment. DESIGN: A population-based retrospective cohort study. SETTING: Ontario, Canada. PARTICIPANTS: Individuals who sought medical care for opioid-related health problems or died from an opioid-related cause between 2005 and 2019. MEASUREMENTS: Monthly treatment status for buprenorphine/naloxone or methadone OAT between 2013 and 2019 (i.e. 'off OAT', 'retained on OAT < 6 months', 'retained on OAT ≥ 6 months'). FINDINGS: Of 122 811 individuals in the cohort, 97 516 (79.4%) received OAT at least once during the study period. There was decreasing 6-month treatment retention over time. Model results indicated that males had higher odds of being on OAT each month [odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.23-1.28] but lower odds of OAT retention (OR = 0.90, 95% CI = 0.88-0.92), while the reverse was observed for older individuals (monthly: OR = 0.76 per 10-year increase, 95% CI = 0.76-0.77; retention: OR = 1.36 per 10-year increase, 95% CI = 1.34-1.38) and individuals with higher neighbourhood income (e.g. highest income quintile, monthly: OR = 0.79, 95% CI = 0.77-0.82; highest income quintile, retention: OR = 1.15, 95% CI = 1.11-1.20). Individuals residing in rural areas and with a history of mental health diagnoses had poorer outcomes overall, including lower odds of being on OAT each month (rural: OR = 0.75, 95% CI = 0.73-0.78; mental health: OR = 0.89, 95% CI = 0.87-0.92) and OAT retention (rural: OR = 0.79, 95% CI = 0.77-0.82; mental health: OR = 0.81, 95% CI = 0.78-0.83), as well as higher risk of starting/stopping OAT [rural, starting OAT: hazard ratio (HR) = 1.07, 95% CI = 1.05-1.10; mental health, starting OAT: HR = 1.20, 95% CI: 1.18-1.23; rural, stopping OAT: HR = 1.24, 95% CI: = 1.22-1.26; mental health, stopping OAT: HR = 1.11, 95% CI = 1.09-1.13]. Individuals with a history of mental health diagnoses also had a higher risk of death, regardless of OAT status (off OAT death: HR = 1.49, 95% CI = 1.33-1.66; on OAT death: HR = 1.20, 95% CI = 1.09-1.31). CONCLUSIONS: Factors influencing engagement and declining retention in treatment with opioid agonist therapy in Ontario's health system include age, sex and neighbourhood income, as well as mental health diagnoses or residing in rural regions.

Investigating the association between income inequality in youth and deaths of despair in Canada: a population-based cohort study from 2006 to 2019.

BACKGROUND: Deaths due to suicide, drug overdose and alcohol-related liver disease, collectively known as 'deaths of despair', have been markedly increasing since the early 2000s and are especially prominent in young Canadians. Income inequality has been linked to this rise in deaths of despair; however, this association has not yet been examined in a Canadian context, nor at the individual level or in youth. The study objective was to examine the association between income inequality in youth and deaths of despair among youth over time. METHODS: We conducted a population-based longitudinal study of Canadians aged 20 years or younger using data from the Canadian Census Health and Environment Cohorts. Baseline data from the 2006 Canadian Census were linked to the Canadian Vital Statistics Database up to 2019. We employed multilevel survival analysis models to quantify the association between income inequality in youth and time-to deaths of despair. RESULTS: The study sample included 1.5 million Canadians, representing 7.7 million Canadians between the ages of 0 and 19 at baseline. Results from the weighted, adjusted multilevel survival models demonstrated that income inequality was associated with an increased hazard of deaths of despair (adjusted HR (AHR) 1.35; 95% CI 1.04 to 1.75), drug overdose (AHR 2.38; 95% CI 1.63 to 3.48) and all-cause deaths (AHR 1.10; 95% CI 1.04 to 1.18). Income inequality was not significantly associated with suicide deaths (AHR 1.23, 95% CI 0.93 to 1.63). CONCLUSION: The results show that higher levels of income inequality in youth are associated with an increased hazard of all-cause death, deaths of despair and drug overdose in young Canadians. This study is the first to reveal the association between income inequality and deaths of despair in youth and does so using a population-based longitudinal cohort involving multilevel data. The results of this study can inform policies related to income inequality and deaths of despair in Canada.

Neighbourhood-level socio-demographic characteristics and risk of COVID-19 incidence and mortality in Ontario, Canada: A population-based study.

OBJECTIVES: We aimed to estimate associations between COVID-19 incidence and mortality with neighbourhood-level immigration, race, housing, and socio-economic characteristics. METHODS: We conducted a population-based study of 28,808 COVID-19 cases in the provincial reportable infectious disease surveillance systems (Public Health Case and Contact Management System) which includes all known COVID-19 infections and deaths from Ontario, Canada reported between January 23, 2020 and July 28, 2020. Residents of congregate settings, Indigenous communities living on reserves or small neighbourhoods with populations <1,000 were excluded. Comparing neighbourhoods in the 90th to the 10th percentiles of socio-demographic characteristics, we estimated the associations between 18 neighbourhood-level measures of immigration, race, housing and socio-economic characteristics and COVID-19 incidence and mortality using Poisson generalized linear mixed models. RESULTS: Neighbourhoods with the highest proportion of immigrants (relative risk (RR): 4.0, 95%CI:3.5-4.5) and visible minority residents (RR: 3.3, 95%CI:2.9-3.7) showed the strongest association with COVID-19 incidence in adjusted models. Among individual race groups, COVID-19 incidence was highest among neighbourhoods with the high proportions of Black (RR: 2.4, 95%CI:2.2-2.6), South Asian (RR: 1.9, 95%CI:1.8-2.1), Latin American (RR: 1.8, 95%CI:1.6-2.0) and Middle Eastern (RR: 1.2, 95%CI:1.1-1.3) residents. Neighbourhoods with the highest average household size (RR: 1.9, 95%CI:1.7-2.1), proportion of multigenerational families (RR: 1.8, 95%CI:1.7-2.0) and unsuitably crowded housing (RR: 2.1, 95%CI:2.0-2.3) were associated with COVID-19 incidence. Neighbourhoods with the highest proportion of residents with less than high school education (RR: 1.6, 95%CI:1.4-1.8), low income (RR: 1.4, 95%CI:1.2-1.5) and unaffordable housing (RR: 1.6, 95%CI:1.4-1.8) were associated with COVID-19 incidence. Similar inequities were observed across neighbourhood-level sociodemographic characteristics and COVID-19 mortality. CONCLUSIONS: Neighbourhood-level inequities in COVID-19 incidence and mortality were observed in Ontario, with excess burden experienced in neighbourhoods with a higher proportion of immigrants, racialized populations, large households and low socio-economic status.

Changes in chronic disease risk factors and current exercise habits among Canadian adults living with and without a child during the COVID-19 pandemic.

Background: Canadians have been gravely impacted by the COVID-19 pandemic, and adults living with children may have been disproportionately impacted. The objective of this study was to describe changes in chronic disease risk factors and current exercise habits among adults living with and without a child younger than 18 years old. Data and Methods: A repeated cross-sectional study was conducted using data collected from Canadians aged 15 and older via the Canadian Perspective Survey Series (CPSS) in late March (CPSS1, N=4,383), early May (CPSS2, N=4,367) and mid-July 2020 (CPSS4, N=4,050). This analysis included participants aged 25 and older. At three points during 2020, participants reported whether they increased, decreased, or had not changed their consumption of alcohol, tobacco and junk food or sweets, their screen use, and whether they currently exercised indoors or outdoors. Behaviours were compared for adults living with and without a child, and unadjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated using logistic regression. Results: The presence of a child in the household was associated with higher odds of increased (compared with decreased or no change) alcohol consumption at all three time points, consumption of junk food and sweets at CPSS1 (OR: 1.69, 95% CI: 1.09-2.60), and time on the Internet at CPSS1 (OR: 1.59, 95% CI: 1.05-2.41) and CPSS4 (OR: 1.56, 95% CI: 1.05-2.29). Compared with older adults (aged 55 and older), younger adults (aged 25 to 54) were more likely to exhibit increases in chronic disease risk factors regardless of the presence of a child in the household. Interpretation: A substantial proportion of Canadian adults reported increased chronic disease risk factors during the pandemic, with greater increases noted among adults living with a child, compared with those living without a child. Public health interventions are urgently needed to mitigate the long-term impact of the pandemic on population health.

Interrupted time series analysis of Canadian legal cannabis sales during the COVID-19 pandemic.

INTRODUCTION: There were repeated reports of increased cannabis sales, use and health impacts in Canada during the COVID-19 pandemic. However, it was unclear whether the increases were due to pandemic effects or industry expansion. METHODS: We performed interrupted time series regressions of monthly per capita legal cannabis sales from March 2019 to February 2021, first with national averages, then with provincial/territorial data after adjusting for store density. We considered two interruption alternatives: January 2020, when product variety increased; and March 2020, when pandemic restrictions began. RESULTS: The provincial/territorial regression with the January interruption explained R2  = 69.6% of within-jurisdiction variation: baseline monthly per capita sales growth averaged $0.21 (95% confidence interval [CI] 0.15, 0.26), sales immediately dropped in January by $1.02 (95% CI -1.67, -0.37), and monthly growth thereafter increased by $0.16 (95% CI 0.06, 0.25). With the March interruption, the regression instead explained 68.7% of variation: baseline sales growth averaged $0.14 (95% CI 0.06, 0.22), there was no immediate drop and growth thereafter increased by $0.22 per month (95% CI 0.08, 0.35). DISCUSSION AND CONCLUSIONS: Increasing cannabis sales during the pandemic was consistent with pre-existing trends and increasing store numbers. The extra increased growth was more aligned with January's new product arrivals than with March's pandemic measures, though the latter cannot be ruled out. We found little evidence of pandemic impacts on Canada's aggregate legal cannabis sales. We therefore caution against attributing increased population-level cannabis use or health impacts primarily to the pandemic.

Multi-use physical activity trails in an urban setting and cardiovascular disease: a difference-in-differences analysis of a natural experiment in Winnipeg, Manitoba, Canada.

OBJECTIVE: To determine if expansion of multi-use physical activity trails in an urban centre is associated with reduced rates of cardiovascular disease (CVD). METHODS: This was a natural experiment with a difference in differences analysis using administrative health records and trail-based cycling data in Winnipeg, Canada. Prior to the intervention, each year, 314,595 (IQR: 309,044 to 319,860) persons over 30 years without CVD were in the comparison group and 37,901 residents (IQR: 37,213 to 38,488) were in the intervention group. Following the intervention, each year, 303,853 (IQR: 302,843 to 304,465) persons were in the comparison group and 35,778 (IQR: 35,551 to 36,053) in the intervention group. The natural experiment was the construction of four multi-use trails, 4-7 km in length, between 2010 and 2012. Intervention and comparison areas were based on buffers of 400 m, 800 m and 1200 m from a new multi-use trail. Bicycle counts were obtained from electromagnetic counters embedded in the trail. The primary outcome was a composite of incident CVD events: CVD-related mortality, ischemic heart disease, cerebrovascular events and congestive heart failure. The secondary outcome was a composite of incident CVD risk factors: hypertension, diabetes and dyslipidemia. RESULTS: Between 2014 and 2018, 1,681,125 cyclists were recorded on the trails, which varied ~ 2.0-fold across the four trails (2358 vs 4264 counts/week in summer months). Between 2000 and 2018, there were 82,632 CVD events and 201,058 CVD risk events. In propensity score matched Poisson regression models, the incident rate ratio (IRR) was 1.06 (95% CI: 0.90 to 1.24) for CVD events and 0.95 (95%CI: 0.88 to 1.02) for CVD risk factors for areas within 400 m of a trail, relative to comparison areas. Sensitivity analyses indicated this effect was greatest among households adjacent to the trail with highest cycling counts (IRR = 0.85; 95% CI: 0.75 to 0.96). CONCLUSIONS: The addition of multi-use trails was not associated with differences in CVD events or CVD risk factors, however the differences in CVD risk may depend on the level of trail use. TRIAL REGISTRATION: Trial registration number: NCT04057417 .