Canadian Vital Statistics Research Articles

Canadian Dietary Intakes Assessed by Nutrient Profiling Models and Association with Mortality and Cardiovascular Disease.

Purpose: Nutrient profiling (NP) ranks foods according to nutritional composition and underpins policies (e.g.,front-of-package (FOP) labelling). This study aimed to evaluate Canadian adults' dietary intakes using proposed Canadian FOP "high-in" labelling thresholds and international NP models (i.e.,Ofcom, FSANZ, and Nutri-Score) and examine the association between intakes using international NP models and all-cause mortality and cardiovascular disease (CVD).Methods: Intakes from the Canadian Community Health Survey-Nutrition (CCHS-Nutrition) 2004 and 2015 were given NP scores and assessed against FOP thresholds. CCHS-Nutrition 2004 was linked with death records (Canadian Vital Statistics Database, n = 6767) and CVD incidence and mortality (hospital Discharge Abstract Database, n = 6420) until December 2017.Results: Foods that would require FOP labels, should there be such regulation in Canada, contributed 38% of calories. Association between NP scores and mortality was significant for Ofcom, FSANZ, and Nutri-Score (hazard ratio (HR) in highest quintile (lowest quality): 1.73, 95%CI [1.20-2.49], 1.59[1.15-2.21], and 1.75[1.18-2.59], respectively), and for CVD incidence, among males (HR in highest quintile: 2.11[1.15-3.89], 1.74[1.07-2.84], and 2.29[1.24-4.24], respectively).Conclusions: Canadians had moderately healthy intakes. NP systems could discriminate between low and high dietary quality such that adults with the lowest diet quality were more likely to experience all-cause mortality and CVD events (for males).

Development and validation of a population-based risk algorithm for premature mortality in Canada: the Premature Mortality Population Risk Tool (PreMPoRT)

IntroductionTo develop and validate the Premature Mortality Population Risk Tool (PreMPoRT), a population-based risk algorithm that predicts the 5-year incidence of premature mortality among the Canadian adult population.MethodsRetrospective cohort analysis...

Projected estimates of cancer in Canada in 2024.

Cancer surveillance data are essential to help understand where gaps exist and progress is being made in cancer control. We sought to summarize the expected impact of cancer in Canada in 2024, with projections of new cancer cases and deaths from cancer by sex and province or territory for all ages combined. We obtained data on new cancer cases (i.e., incidence, 1984-2019) and deaths from cancer (i.e., mortality, 1984-2020) from the Canadian Cancer Registry and Canadian Vital Statistics Death Database, respectively. We projected cancer incidence and mortality counts and rates to 2024 for 23 types of cancer, overall, by sex, and by province or territory. We calculated age-standardized rates using data from the 2011 Canadian standard population. In 2024, the number of new cancer cases and deaths from cancer are expected to reach 247 100 and 88 100, respectively. The age-standardized incidence rate (ASIR) and mortality rate (ASMR) are projected to decrease slightly from previous years for both males and females, with higher rates among males (ASIR 562.2 per 100 000 and ASMR 209.6 per 100 000 among males; ASIR 495.9 per 100 000 and ASMR 152.8 per 100 000 among females). The ASIRs and ASMRs of several common cancers are projected to continue to decrease (i.e., lung, colorectal, and prostate cancer), while those of several others are projected to increase (i.e., liver and intrahepatic bile duct cancer, kidney cancer, melanoma, and non-Hodgkin lymphoma). Although the overall incidence of cancer and associated mortality are declining, new cases and deaths in Canada are expected to increase in 2024, largely because of the growing and aging population. Efforts in prevention, screening, and treatment have reduced the impact of some cancers, but these short-term projections highlight the potential effect of cancer on people and health care systems in Canada.

Trends in socioeconomic inequalities in pancreatic cancer mortality in Canada: Evidence from the Canadian Vital Statistics Death Database

BackgroundPancreatic cancer is one of the leading causes of death in Canada and is projected to be the second leading cause of cancer death by 2030. This study sought to evaluate education and income inequalities in pancreatic cancer mortality in Canada between 1990 and 2019. MethodsUsing a unique census division level dataset (n = 280) constructed from the Canadian Vital Statistics Death Database, Canadian Census of Population (1991, 1996, 2001, 2006, 2016), and National Household Survey (2011) we assess socioeconomic inequalities in pancreatic cancer in Canada. Age-standardized Concentration index was used to quantify income and education inequalities in pancreatic cancer mortality. Trends analyses were conducted to assess changes in income and education inequalities in pancreatic cancer mortality over time. ResultsOur results show that crude pancreatic cancer mortality in Canada increased significantly from 10.23 for males and 9.65 for females in 1990, to 15.99 for males and 14.28 for females in 2019, per 100,000 people. The statistically significant negative values of age-standardized Concentration indices suggest persistent income and education inequalities in pancreatic cancer mortality in Canada. Trend analyses indicates reductions in income and education inequalities in pancreatic cancer mortality over time, particularly among females. ConclusionsSignificant income and education inequalities in pancreatic cancer mortality in Canada warrant public policy concern and action. Further research is required to understand whether differential access to treatment across socioeconomic groups played a role in the observed socioeconomic inequalities.

Life Expectancy at Birth and Infant Mortality Rates of Indigenous Populations in Canada from 2004 to 2016

Life expectancy and infant mortality rates are two important indicators of the well-being of a population. However, it is not possible to compute these indicators for specific Indigenous populations in Canada from vital statistics databases because information about the identity of individuals is lacking. We use alternative data sources, linkages between the long-form census questionnaire and the Canadian Vital Statistics, namely the Canadian Census Health and Environment Cohorts and the Canadian Birth Census Cohorts, to compute life expectancy at birth and infant mortality rates among Indigenous populations. We describe the data, explain the methodology, and analyze the results to demonstrate the usefulness of these databases for the regular reporting of these health outcomes and monitoring of trends.

Measuring the Health Co-Benefits of Air Pollution Interventions on Premature Deaths in Canadian Cities

Background: Climate change has significant consequences on human health. Cities are especially vulnerable, where air pollution is a major environmental health risk. Premature mortality (i.e., deaths before age 75) is a robust population health outcome amenable to targeted policy and programmatic interventions. We used the Premature Mortality Population Risk Tool augmented with environmental data (PreMPoRT-ENV) to predict the 5-year incidence of premature deaths under air pollution reduction policies. Methods: PreMPoRT-ENV is a sex-specific Weibull accelerated failure time survival model that uses the Canadian Community Health Survey (CCHS) linked to the Canadian Vital Statistics Death Database and environmental data. We applied PreMPoRT-ENV to the 2016–2017 CCHS cycles and simulated Canadian Ambient Air Quality Standards targets to predict their impact on premature mortality across Canadian census metropolitan areas. We simulated capping annual mean particulate matter 2.5 microns or less in diameter (PM2.5) and nitrogen dioxide (NO2), as well as reducing air pollutants by 10% and 25% plus capping. Results: The weighted sample included 9,240,000 females and 9,260,000 males. Capping PM2.5 to 8.8 μg/m3 and NO2 to 12.0 ppb resulted in 12 per 100,000 fewer predicted premature deaths than observed exposures over 5 years (1,110 fewer absolute premature deaths). Reducing air pollutants by 10% and 25% plus capping resulted in even fewer predicted premature deaths. Conclusion: Our study highlights how to use a model that predicts premature mortality to provide estimates of the health impacts of environmental vulnerabilities. Results suggest that more aggressive targets may be needed to further realize population health benefits.

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

BackgroundDeclines 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). MethodsWe 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. ResultsAdjusted 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. ConclusionIncome 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.

A national cohort study of community belonging and its influence on premature mortality

BackgroundCommunity belonging, an important constituent of subjective well-being, is an important target for improving population health. Ageing involves transitioning across different social conditions thus, community belonging on health may vary...

Creating an 11-year longitudinal substance use harm cohort from linked health and census data to analyse social drivers of health.

Research on substance use harm in Canada has been hampered by an absence of linked data to analyse and report on the social drivers of substance use harm. This study aims to address this gap by providing a fully annotated Stata do-file that links sociodemographic data to 11 years of hospitalisation and death outcomes. This do-file will greatly facilitate the creation of provincial and national substance use cohorts using line-level data available through Statistics Canada's Research Data Centres (RDC) program. We used Canadian Census Health and Environment Cohorts (CanCHEC) 2006 to create a cohort of Saskatchewanians followed from 2006 to 2016. We linked sociodemographic information of the 2006 Census (long-form) respondents to their hospitalisation data captured in the Discharge Abstract Database (DAD) (2006 to 2016) and their mortality records in the Canadian Vital Statistics Death Database (CVSD) (2006 to 2016). We developed an algorithm to identify Saskatchewanians who experienced a substance use harm event. We validated the cohort by comparing our descriptive findings with those from other Canadian studies on substance use. We used CanCHEC, a national data resource, whereas most previous studies have used provincial data resources. Despite this difference in constructing the cohorts, our results showed trends consistent with previous studies, including an overrepresentation of individuals with lower socioeconomic status among the people who experienced substance use harm (PESUH). Similar to other Canadian studies, our results indicate an increasing rate of substance use harm from 2006 to 2016. This study provides a Stata do-file that compiles a validated substance use cohort using CanCHEC, enabling comprehensive substance use research by linking sociodemographic data with health outcomes. The do-file is likely to save researchers hundreds of hours and accelerate research on the drivers of substance use harms in Canada.

Are "immortals" an issue for survival estimates derived from Canadian Cancer Registry data?

The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as "immortals." Their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which "statistical" cure has been reported with that of similar people from the general population. Data are from the population-based CCR record linked to the Canadian Vital Statistics - Death Database and tax data. Yearly interval-specific relative survival (IRS) estimates were derived up to 15 years after diagnosis for colon cancer cases, and for colon, rectal and melanoma cancer cases combined, diagnosed from 1992 to 2002. With increasing follow-up time since diagnosis, national colon cancer IRS estimates levelled off at 1.00, or slightly less, for each age group studied, indicating that survival did not exceed that of the general population. Similar results were obtained among males and females, and for colon, rectal and melanoma cancer cases combined. Provincial IRS point estimates for the three cancers combined also levelled off around 1.00, though with more variation in the estimates than at the national level. Based on the results of this study, immortals do not appear to be an issue at either the national or the provincial level for survival estimates derived from CCR data.

Association between childhood adversities and premature and potentially avoidable mortality in adulthood: a population-based study

BackgroundThe association of childhood adversities with mortality has rarely been explored, and even less studied is the question of whether any excess mortality may be potentially preventable. This study examined the association between specific childhood adversities and premature and potentially avoidable mortality (PPAM) in adulthood in a representative sample of the general population. Also, we examined whether the associations were potentially mediated by various adult socioeconomic, psychosocial, and behavioral factors.MethodsThe study used data from the National Population Health Survey (NPHS-1994) linked to the Canadian Vital Statistics Database (CVSD 1994–2014) available from Statistics Canada. The NPHS interview retrospectively assessed childhood exposure to prolonged hospitalization, parental divorce, prolonged parental unemployment, prolonged trauma, parental problematic substance use, physical abuse, and being sent away from home for doing something wrong. An existing definition of PPAM, consisting of causes of death considered preventable or treatable before age 75, was used. Competing cause survival models were used to examine the associations of specific childhood adversities with PPAM in adulthood among respondents aged 18 to 74 years (rounded n = 11,035).ResultsDuring the 20-year follow-up, 5.4% of the sample died prematurely of a cause that was considered potentially avoidable. Childhood adversities had a differential effect on mortality. Physical abuse (age-adjusted sub-hazard ratio; SHR 1.44; 95% CI 1.03, 2.00) and being sent away from home (age-adjusted SHR 2.26; 95% CI 1.43,3.57) were significantly associated with PPAM. The associations were attenuated when adjusted for adulthood factors, namely smoking, poor perceived health, depression, low perceived social support, and low income, consistent with possible mediating effects. Other adversities under study were not associated with PPAM.ConclusionThe findings imply that the psychological sequelae of childhood physical abuse and being sent away from home and subsequent uptake of adverse health behavior may lead to increased risk of potentially avoidable mortality. The potential mediators identified offer directions for future research to perform causal mediation analyses with suitable data and identify interventions aimed at preventing premature mortality due to potentially avoidable causes. Other forms of adversities, mostly related to household dysfunction, may not be determinants of the distal health outcome of mortality.

Population-Based Differences in Cancer Incidence between Immigrants and Non-Immigrants in Canada from 1992-2015

The purpose of this study was to investigate if there are differences in cancer incidence between immigrants and non-immigrants in Canada. We hypothesized that immigrants have lower cancer incidence compared to non-immigrants. In this retrospective study, a linked-database approach was employed using Statistics Canada data. The Canadian Cancer Registry and Canadian Vital Statistics Database were linked with the 1991 Census cohort and the cohort was followed from 1992-2015 for cancer incidence. Excluded persons included Census non-respondents, institutional residents, those living on reserves and those less than 25 years of age. Sampling and bootstrap weights were used to ensure the sample represented the Canadian population and for statistical analyses. Total unweighted and weighted sample was 2,585,160 and 17,002,560, respectively which provided adequate power to answer the research question. Multivariate logistic regression and cox regression models included age, sex, household income, marital status, highest degree of education, knowledge of Canada's official languages (English or French), immigrant status and region of birth. Subcategories of immigrants were created based on time spent in Canada (0-4, 5-9, 10-19, 20+ years). Raw data showed that 16.8% of immigrants and 15.9% of non-immigrants had cancer. After adjusting, logistic regression analyses showed that immigrants had lower odds of any cancer diagnoses in comparison with non-immigrants (OR = 0.92, 95% CI [0.92,0.93], p<.001), as well as lung (OR = 0.74, 95% CI [0.72-0.75], p<.001); breast (OR = 0.96, 95% CI [0.94-0.98], p = .001); colorectal (OR = 0.93, 95% CI [0.91-0.95], p<.001) and head and neck cancer (OR = 0.85, 95% CI [0.81-0.90], p<.001). However, immigrants had higher odds of stomach cancer and non-cervix gynecological cancers (OR = 1.39, 95% CI [1.32-1.46]; OR = 1.06, 95% CI [1.02-1.10]), respectively. Hazard ratios were lower for immigrants in comparison to the Canadian-born but increased based on time spent in Canada (0-4 years: 0.77, 95% CI [0.71-0.84], p<.001; 5-9 years: 0.82, 95% CI [0.75-0.89], p<.001; 10-19 years: 0.90, 95% CI [0.82-0.98], p = .011). This study demonstrates a significant difference in cancer incidence between immigrants and non-immigrants. These results support current research in the observation of a 'healthy immigrant effect' (HIE) which convey that immigrants have better health outcomes than their native-born counterparts, with the effect decreasing over time spent in the host country. Since we controlled for demographic and socio-economic factors, we propose other factors to be contributing to the HIE such as individual-level health behaviors including smoking, diet and access to screening services. While it points to a HIE, we propose this phenomenon to be more complex due to the possibility of under-reporting of cases or differences in health behaviors, warranting further studies in this area.

Lifetime probability of developing cancer and dying from cancer in Canada, 1997 to 2020.

The lifetime probabilities of developing (LPdev) cancer and dying (LPdying) from cancer are useful summary statistics that describe the impact of cancer within a population. This study aims to present detailed LPdev and LPdying for cancer by sex and cancer type and to describe changes in these lifetime probabilities over time among the Canadian population. Cancer incidence data (1997 to 2018) were obtained from the Canadian Cancer Registry. All-cause and cancer mortality data (1997 to 2020) were obtained from the Canadian Vital Statistics - Death Database. LPdev and LPdying were calculated using the DevCan software, and trends over time were estimated using Joinpoint. The LPdev for all cancers combined was 44.3% in Canada in 2018, with all results excluding Quebec. At the age of 60, the conditional probability of developing cancer was very similar (44.0% for males and 38.2% for females). The LPdying was 22.5% among the Canadian population in 2020, while the probability of dying from cancer conditional on surviving until age 60 was 25.1% for males and 20.5% for females. Generally, males experienced higher LPdev and LPdying for most specific cancers compared with females. LPdev and LPdying for cancer mirror cancer incidence and mortality rates. Cancer-specific changes in these probabilities over time are indicative of the cancer trends resulting from cancer prevention, screening, detection, and treatment. These changes in LPdev and LPdying provide insight into the shifting landscape of the Canadian cancer burden.

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

BackgroundSocial 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. MethodsA 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). ResultsAfter 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). ConclusionSocial 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.

Childhood adversities and rate of adulthood all-cause hospitalization in the general population: A retrospective cohort study.

The study examined the association between specific childhood adversities and rate of all-cause hospitalization in adulthood in a large sample of the general population and assessed whether adult socioeconomic and health-related factors mediate those associations. We used linked data available from Statistics Canada i.e., the Canadian Community Health Survey (CCHS-2005) linked to Discharge Abstract Database (DAD 2005-2017) and Canadian Vital Statistics Database (CVSD 2005-2017). CCHS-2005 measured self-reported exposure to childhood adversities, namely prolonged hospitalization, parental divorce, parental unemployment, prolonged trauma, parental substance use, physical abuse, and being sent away from home for wrongdoing, from a sample of household residents aged 18 years and above (n = 11,340). The number and causes of hospitalization were derived from linkage with DAD. Negative binomial regression was used to characterize the association between childhood adversities and the rate of hospitalization and to identify potential mediators between them. During the 12-year follow-up, 37,080 hospitalizations occurred among the respondents, and there were 2,030 deaths. Exposure to at least one childhood adversity and specific adversities (except parental divorce) were significantly associated with the hospitalization rate among people below 65 years. The associations (except for physical abuse) were attenuated when adjusted for one or more of the adulthood factors such as depression, restriction of activity, smoking, chronic conditions, poor perceived health, obesity, unmet health care needs, poor education, and unemployment, observations that are consistent with mediation effects. The associations were not significant among those aged 65 and above. Childhood adversities significantly increased the rate of hospitalization in young and middle adulthood, and the effect was potentially mediated by adulthood socioeconomic status and health and health care access related factors. Health care overutilization may be reduced through primary prevention of childhood adversities and intervention on those potentially mediating pathways such as improving adulthood socioeconomic circumstances and lifestyle modifications.

Investigation of the Incidence and Geographic Distribution of Bone and Soft Tissue Sarcomas in Canada: A National Population-Based Study.

Sarcomas are a heterogeneous group of mesenchymal malignancies with various genetic and environmental risk factors. This study analyzed the epidemiology of sarcomas to gain insight into the incidence and mortality rates of these cancers in Canada, as well as to elucidate their potential environmental risk factors. Data for this study were obtained from le Registre Québécois du Cancer (LRQC) and from the Canadian Cancer Registry (CCR) for the period from 1992 to 2010. Mortality data were obtained from the Canadian Vital Statistics (CVS) database for the period from 1992 to 2010 using the International Classification of Diseases for Oncology, ICD-O-3, ICD-9, or ICD-10 codes, for all subtypes of sarcomas. We found that the overall sarcoma incidence in Canada decreased during the study period. However, there were select subtypes with increasing incidence. Peripherally located sarcomas were found to have lower mortality rates compared to axially located sarcomas, as expected. Clustering of Kaposi sarcoma cases in self-identified LGBTQ+ communities and in postal codes with a higher proportion of African-Canadian and Hispanic populations was observed. Forward Sortation Area (FSA) postal codes with a lower socioeconomic status also had higher Kaposi sarcoma incidence rates.

Legal issues pertaining to the collection of sociodemographic data in emergency departments.

Legal issues pertaining to the collection of sociodemographic data in emergency departments.

Mortality among Canadian population with multimorbidity: A retrospective cohort study.

The aim of this study was to examine the effect of multimorbidity and the joint effect of chronic diseases on all-cause mortality among subjects aged 35 years and above. Population-based retrospective cohort study. Multimorbidity was defined by the respondent's self-report of having two or more chronic diseases of the nine considered. The Canadian Community Health Surveys conducted in 2003/2004, 2005/2006 and 2007 to 2014 were linked with the Canadian Vital Statistics Death Database to examine the association between multimorbidity and all-cause mortality in subjects aged 35 years and above. Cox's proportional hazards models were used to estimate risk of multimorbidity on death after adjusting for the confounders in three age groups. Multimorbidity had an increased risk of death in all three age groups with the youngest having the highest risk after adjusting for potential confounders (35 to 54 years: hazard ratio (HR) = 3.77, 95% CI: 3.04, 4.67; 55 to 64 years: HR = 2.64, 95% CI: 2.36, 2.95; 65 years and above: HR = 1.71; 95% CI:1.63,1.80). Subjects with cancer had the highest risk of death in the three age groups. When the interactions between chronic diseases were considered, subjects with COPD and diabetes had a significantly increased risk of death in comparison to those without COPD or diabetes in the 55 to 64 years. (HR = 2.59, 95% CI: 2.01, 3.34). Prevention of multimorbidity should be targeted not only in the older population but also in the younger populations. Synergistic effects of chronic diseases should be considered in the management of multimorbidities.

Prevalence and sociodemographic correlates of marriage among adolescent mothers in Canada, 1989–2018

ObjectivesFemale marriage before age 18 is a global health issue related to gender inequality, but it is understudied in Canada. This study examined marriage trends among mothers aged < 18 versus older mothers and the sociodemographic correlates of marriage among adolescent mothers aged < 18 and older adolescent mothers.MethodsUsing the Canadian Vital Statistics – Birth Database, marriage prevalence was estimated by maternal age groups (< 18-year, 18–19-year, 20–24-year, and 25–49-year) between 1989–1990 and 2017–2018 (n = 10,399,250). Multivariable logistic regression was then used to examine the sociodemographic characteristics associated with marriage within adolescent maternal age group (< 18-year, 18–19-year, and 20–24-year) among births registered between 2000 and 2018.ResultsFrom 1989–1990 to 2017–2018, marriage prevalence declined 80.5%, 60.2%, 47.3%, and 16.0% in the < 18-year, 18–19-year, 20–24-year, and 25–49-year groups, respectively. Within the < 18-year, 18–19-year, and 20–24-year adolescent maternal age groups, older maternal age, larger parental age gap, foreign-born parents, rurality, and earlier birth period were associated with higher adjusted odds of marriage. Higher maternal neighbourhood income was associated with marriage among births to mothers aged 18–19 and 20–24 years but not among those to mothers aged < 18 years.ConclusionMarriage prevalence declined among mothers of all ages, but the shifts away from marriage appear stronger among younger mothers. The sociodemographic correlates of marriage are generally similar among mothers below age 18 and slightly older adolescent mothers.

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

BackgroundDeaths 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...