Health

Description: Active commuting (AC) to and from work is associated with numerous health benefits, through increased physical activity. This study examined whether occupation types and part-time work, by sex, were associated with AC in a population-based sample of Canadian workers. This study examined the associations between occupational classifications, part-time work, and AC (i.e., walking, cycling) and public transit use, in a nationally representative sample of Canadian adults, while controlling for other relevant sociodemographic characteristics (e.g., education, income, urbanity). This study also explored how associations between occupational classifications and AC differed by sex and how AC rates may have changed over time.

Description: Physical and sexual childhood abuse are associated with suicidal ideation and mental health disorders. However, less is known about non-physical types of maltreatment. This study examined associations between non-physical types of child maltreatment (e.g., emotional abuse, interpersonal aggression, exposure to physical intimate partner violence, emotional and physical neglect) and suicidal ideation, and mental health disorders.

Description:

Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.

Description: Monthly indexes and percentage changes for selected sub-groups of the health and personal care component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Description: This study uses data from multiple waves of the Canadian Social Survey (CSS) to examine trends in three key Quality of Life indicators, namely life satisfaction, experiences of financial hardship, and future outlook. Monitoring these well-being indicators following periods of considerable social and economic change is particularly important. Beginning in the summer of 2021, the CSS, a new quarterly survey, captured the latter part of the COVID-19 pandemic as well as the rising cost of living in Canada, allowing for an understanding of how Canadians are coping with these challenges.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This infographic examines declines in Canadians’ well-being over the past few years, and how these downward changes vary across different segments of the population. Life satisfaction, financial difficulty, and future outlook, which are key quality of life indicators, are presented.

Description: This dashboard presents data that are relevant for monitoring mortality in Canada. The interactive visualization within the dashboard features insights on weekly death trends from the Canadian Vital Statistics - Death (CVSD) database.

Description: This table provides Canadians and researchers with provisional data to monitor weekly death trends by age and sex in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

Description:

This table provides Canadians and researchers with provisional data to monitor weekly death trends in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

Description: Monthly indexes and percentage changes for selected sub-groups of the health and personal care component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Description: This dashboard presents data that are relevant for monitoring mortality in Canada. The interactive visualization within the dashboard features insights on weekly death trends from the Canadian Vital Statistics - Death (CVSD) database.

Description: This table provides Canadians and researchers with provisional data to monitor weekly death trends by age and sex in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

Description:

This table provides Canadians and researchers with provisional data to monitor weekly death trends in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

Description:

This table provides Canadians and researchers with provisional data to monitor weekly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

Description: The table displays weekly age standardized mortality rates for every province in Canada (excluding territories), by sex, since 2019. The standardization is done using the 2011 Canadian population.

Description: Number and percentage of children and youth with changes or no change in their functional difficulties between 2019 and 2023 by gender and age group, Canada (excluding territories) and provinces.

Description: Number and percentage of youth who report changes or no change in their health characteristics between 2019 and 2023 by gender and age group, Canada (excluding territories) and provinces.

Description: This dashboard presents provisional monthly estimates of the levels of amphetamine, cannabis, cocaine (benzoylecgonine), codeine, fentanyl (norfentanyl), ecstasy, methadone, methamphetamine, morphine, and oxycodone in the wastewater of Halifax, Montréal, Toronto, Saskatoon, Prince Albert, Edmonton, and Metro Vancouver. The data that are relevant for monitoring the use of these substances in Canadian cities.

Description: Drug metabolites in wastewater, presented as load per capita, in select Canadian cities, by type of drug. The 95% confidence interval, standard error, and imputation rate of the load per capita of the drug metabolites in wastewater are included.

Description:

Despite advances that have improved the health of the United States population, disparities in health remain among various racial/ethnic and socio-economic groups. Common data sources for assessing the health of a population of interest include large-scale surveys that often pose questions requiring a self-report, such as, "Has a doctor or other health professional ever told you that you have health condition of interest?" Answers to such questions might not always reflect the true prevalences of health conditions (for example, if a respondent does not have access to a doctor or other health professional). Similarly, self-reported data on quantities such as height and weight might be subject to reporting errors. Such "measurement error" in health data could affect inferences about measures of health and health disparities. In this work, we fit measurement-error models to data from the National Health and Nutrition Examination Survey, which asks self-report questions during an interview component and also obtains physical measurements during an examination component. We then develop methods for using the fitted models to improve on analyses of self-reported data from another survey that does not include an examination component. The methods, which involve multiply imputing examination-based data values for the survey that has only self-reported data, are applied to the National Health Interview Survey in examples involving diabetes, hypertension, and obesity. Preliminary results suggest that the adjustments for measurement error can result in non-negligible changes in estimates of measures of health.

Description:

The U.S. Survey of Occupational Illnesses and Injuries (SOII) is a large-scale establishment survey conducted by the Bureau of Labor Statistics to measure incidence rates and impact of occupational illnesses and injuries within specified industries at the national and state levels. This survey currently uses relatively simple procedures for detection and treatment of outliers. The outlier-detection methods center on comparison of reported establishment-level incidence rates to the corresponding distribution of reports within specified cells defined by the intersection of state and industry classifications. The treatment methods involve replacement of standard probability weights with a weight set equal to one, followed by a benchmark adjustment.

One could use more complex methods for detection and treatment of outliers for the SOII, e.g., detection methods that use influence functions, probability weights and multivariate observations; or treatment methods based on Winsorization or M-estimation. Evaluation of the practical benefits of these more complex methods requires one to consider three important factors. First, severe outliers are relatively rare, but when they occur, they may have a severe impact on SOII estimators in cells defined by the intersection of states and industries. Consequently, practical evaluation of the impact of outlier methods focuses primarily on the tails of the distributions of estimators, rather than standard aggregate performance measures like variance or mean squared error. Second, the analytic and data-based evaluations focus on the incremental improvement obtained through use of the more complex methods, relative to the performance of the simple methods currently in place. Third, development of the abovementioned tools requires somewhat nonstandard asymptotics the reflect trade-offs in effects associated with, respectively, increasing sample sizes; increasing numbers of publication cells; and changing tails of underlying distributions of observations.

Description:

The Canadian Community Health Survey consists of two cross-sectional surveys conducted on an alternating annual cycle. Both surveys collect general health information, while the second smaller survey collects additional information on survey specific health issues. Even with the large sample sizes, users are interested in combining the cycles of the CCHS to improve the quality of the estimates, create estimates for small geographical domains, or to estimate for rare characteristics or populations. This paper will focus on some of the issues related to combining cycles of the CCHS including some possible interpretations of the combined result. Possible methods to combine cycles will also be outlined.

Description:

The Canadian Health Measures Survey (CHMS) represents Statistics Canada's first health survey employing a comprehensive battery of direct physical measurements of health. The CHMS will be collecting directly measured health data on a representative sample of 5000 Canadians aged 6 to 79 in 2007 to 2009. After a comprehensive in-home health interview, respondents report to a mobile examination centre where direct health measures are performed. Measures include fitness tests, anthropometry, objective physical activity monitoring, spirometry, blood pressure measurements, oral health measures and blood and urine sampling. Blood and urine are analyzed for measures of chronic disease, infectious disease, nutritional indicators and environmental biomarkers. This survey has many unique and peculiar challenges rarely experienced by most Statistics Canada surveys; some of these challenges are described in this paper. The data collected through the CHMS is unique and represents a valuable health surveillance and research resource for Canada.

Description:

The National Health and Nutrition Examination Survey (NHANES) has been conducted by the National Center for Health Statistics for over forty years. The survey collects information on the health and nutritional status of the United States population using in-person interviews and standardized physical examinations conducted in mobile examination centers. During the course of these forty years, numerous lessons have been learned about the conduct of a survey using direct physical measures. Examples of these "lessons learned" are described and provide a guide for other organizations and countries as they plan similar surveys.

Description:

In Finland the first national health examination surveys were carried out in the 1960s. Comprehensive surveys of nationally representative population samples have been carried out in 1978 to 1980 (The Mini-Finland Health Survey) and in 2000 to 2001 (Health 2000). Surveys of cardiovascular risk factors, so called FinRisk surveys, have assessed their trends every five years. The health examination surveys are an important tool of health monitoring, and, linked with registers also a rich source of data for epidemiological research. The paper also gives examples on reports published from several of these studies.

Description:

Health services research generally relies on observational data to compare outcomes of patients receiving different therapies. Comparisons of patient groups in observational studies may be biased, in that outcomes differ due to both the effects of treatment and the effects of patient prognosis. In some cases, especially when data are collected on detailed clinical risk factors, these differences can be controlled for using statistical or epidemiological methods. In other cases, when unmeasured characteristics of the patient population affect both the decision to provide therapy and the outcome, these differences cannot be removed using standard techniques. Use of health administrative data requires particular cautions in undertaking observational studies since important clinical information does not exist. We discuss several statistical and epidemiological approaches to remove overt (measurable) and hidden (unmeasurable) bias in observational studies. These include regression model-based case-mix adjustment, propensity-based matching, redefining the exposure variable of interest, and the econometric technique of instrumental variable (IV) analysis. These methods are illustrated using examples from the medical literature including prediction of one-year mortality following heart attack; the return to health care spending in higher spending U.S. regions in terms of clinical and financial benefits; and the long-term survival benefits of invasive cardiac management of heart attack patients. It is possible to use health administrative data for observational studies provided careful attention is paid to addressing issues of reverse causation and unmeasured confounding.

Description:

Most major survey research organizations in the United States and Canada do not include wireless telephone numbers when conducting random-digit-dialed (RDD) household telephone surveys. In this paper, we offer the most up-to-date estimates available from the U.S. National Center for Health Statistics and Statistics Canada concerning the prevalence and demographic characteristics of the wireless-only population. We then present data from the U.S. National Health Interview Survey on the health and health care access of wireless-only adults, and we examine the potential for coverage bias when health research is conducted using RDD surveys that exclude wireless telephone numbers.

Description:

In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.

Description:

Many population surveys collecting food consumption data use 24 hour recall methodology to capture detailed one day intakes. In order to estimate longer term intakes of foods and nutrients from these data, methods have been developed that required a repeat recall to be collected from at least a subset of responders in order to estimate day to day variability. During the Canadian Community Health Survey Cycle 2.2 Nutrition Focus Survey, most first interviews were collected in person and most repeat interviews were conducted by telephone. This paper looks at the impact of the mode of interview on the reported foods and nutrients on both the first day and the repeat day and on the estimation of intra individual variability between the first and the second interviews.

Description:

The User Guide to Record Linkage Feedback Reports C1 and C2 is intended for the users of the reports. The reports were developed to facilitate the exchange of information and decisions between the Canadian Cancer Registry and the Provincial and Territorial Cancer Registries.

Description:

The User Guide to Record Linkage Feedback Reports C1 and C2 is intended for the users of the reports. The reports were developed to facilitate the exchange of information and decisions between the Canadian Cancer Registry and the Provincial and Territorial Cancer Registries.

Description:

The user guide to Death Clearance Feedback Reports is intended for users of the feedback reports. The feedback reports were developed to facilitate the exchange of information and decisions between the Canadian Cancer Registry and the Provincial and Territorial Cancer Registries.

Description:

The Record Linkage Overview describes the process used in annual internal record linkage of the Canadian Cancer Registry. The steps include: preparation; pre-processing; record linkage; post-processing; analysis and resolution; resolution entry; and, resolution processing.

Description:

The Death Clearance Overview document describes the Death Clearance module of the Canadian Cancer Registry, its structure, its function and its role in the operation of the national cancer registry. Inputs and outputs are listed and briefly described, as well as the different steps constituting the Death Clearance process.

Description:

The Guidelines for Abstracting and Determining Death Certificate Only Cases are intended for use by all provincial and territorial cancer registries during their Death Clearance Process. The guidelines should be used when performing a comparison between the Death Certificate Notification and the cancer registry database.

Description:

This document examines the functional limitations, physical, emotional and social, related to the musculoskeletal conditions having the largest impact on the health of Canadians. These functional limitations are described and classified using the Classification and Measurement System of Functional Health (CLAMES).

These descriptions and classifications are the first step in a new approach to measuring the health of Canadians that examines what factors are adversely affecting population health and how to address them. This document also provides health professionals, advocacy groups, and individual Canadians with an overview of how living with certain musculoskeletal conditions affects day-to-day functioning.

Description:

This report describes the design, methodology, and results of the first study undertaken by Statistics Canada to measure the impact on Canadian cause of death trends of a new revision of the World Health Organization's International Classification of Diseases (ICD).

Using 1999 Canadian mortality data, Statistics Canada carried out a comparability, or "bridge-coding", study by dual-coding deaths to both the Ninth and Tenth Revisions of the International Classification of Diseases (ICD-9 and ICD-10). The preliminary results of this exercise were used to generate comparability ratios; these ratios measure the net effect of the new revision, with ratios above 1.00 indicating a net increase in deaths classified to a cause of death, and ratios below 1.00 indicating a net decrease.

The comparability ratios derived from dual-coding medical certificates of cause of death presented in this report estimate the size and direction of the disruption to cause of death trends due to the implementation of ICD-10. Researchers and analysts using Canadian mortality data should use these summary measures to calculate comparability-modified death counts and mortality rates to bridge the gap between ICD-9 and ICD-10.

Description:

This document examines the functional limitations-physical, emotional and social-related to the most common types of diabetes and the conditions that result from the disease. These functional limitations are described and classified using the Classification and Measurement System of Functional Health (CLAMES).

These descriptions and classifications are the first step in a new approach to measuring the health of Canadians that examines what factors are adversely affecting population health and how to address them. This document also provides health professionals, advocacy groups, and individual Canadians with an overview of how living with diabetes affects day-to-day functioning.

Description:

This document examines the functional limitations - physical, emotional and social -experienced by patients at the time of diagnosis of cancer and as they undergo various treatments, remission, and palliative and terminal care. These functional limitations are described and classified using the Classification and Measurement System of Functional Health (CLAMES).

These descriptions and classifications are the first step in a new approach to measuring the health of Canadians that examines what factors are adversely affecting population health and how to address them. This document also provides health professionals, advocacy groups, and individual Canadians with an overview of how living with cancer affects day-to-day functioning.