Analysis

Skip to filters. View results.
View results
Sort Help
entries

Results

All (5)

All (5) ((5 results))

  • 1. Ethnocultural and socioeconomic disparities in exposure to residential greenness within urban Canada
    Articles and reports: 82-003-X202100500001
    Description:

    Residential greenness has been associated with benefits to health, such as lower risk of mortality, cardiovascular disease, obesity, adverse birth outcomes, asthma and better psychological health. However, the variation in greenness across socioeconomic and demographic characteristics in urban areas of Canada has not been well documented. Authors of a study focused upon respondents to the 2001 Canadian Census reported that more affluent and more highly educated adults living in the 30 largest Census metropolitan areas of Canada had greater exposures to residential greenness than those who were less affluent and less well-educated. This study builds on that work by using data from the more recent, 2016 Census; including respondents of all ages; and by considering differences in exposures according not only to age, education, and income, but also according to immigration status, time since immigration, self-reported ethnicity, and neighbourhood deprivation indices.

    Release date: 2021-05-19
  • 2. The association between ambient air pollution concentrations and psychological distress
    Articles and reports: 82-003-X202000700001
    Description: The present study examined the spatial associations between air pollutants (fine particulate matter [PM2.5], nitrogen dioxide [NO2] and ground-level ozone [O3]) and psychological distress among subjects in the most populous provinces in Canada.
    Release date: 2020-07-29
  • 3. Disease assimilation: The mortality impacts of fine particulate matter on immigrants to Canada
    Articles and reports: 82-003-X202000300002
    Description: The purpose of this study was to assess the risk of non accidental and cause specific mortality associated with long term exposure to PM2.5 among immigrants after they arrived in Canada, and to assess how this risk compares with that of the non immigrant population. Using the Canadian Census Health and Environment Cohort, this study also sought to determine the influence of several immigrant specific variables on the PM2.5 -mortality association, including duration in Canada, country of birth, age at immigration and neighbourhood ethnic concentration.
    Release date: 2020-06-17
  • 4. Cohort profile: The Canadian Census Health and Environment Cohorts (CanCHECs)
    Articles and reports: 82-003-X201901200003
    Description:

    This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.

    Release date: 2019-12-18
  • 5. The 1996 CanCHEC: Canadian Census Health and Environment Cohort Profile Archived
    Articles and reports: 11-633-X2018013
    Description:

    Since 2008, a number of population censuses have been linked to administrative health data and to financial data. These linked datasets have been instrumental in examining health inequalities and have been used in environmental health research. This paper describes the creation of the 1996 Canadian Census Health and Environment Cohort (CanCHEC)—3.57 million respondents to the census long-form questionnaire who were retrospectively followed for mortality and mobility for 16.6 years from 1996 to 2012. The 1996 CanCHEC was limited to census respondents who were aged 19 or older on Census Day (May 14, 1996), were residents of Canada, were not residents of institutions, and had filed an income tax return. These respondents were linked to death records from the Canadian Mortality Database or to the T1 Personal Master File, and to a postal code history from a variety of sources. This is the third in a set of CanCHECs that, when combined, make it possible to examine mortality trends and environmental exposures by socioeconomic characteristics over three census cycles and 21 years of census, tax, and mortality data. This report describes linkage methodologies, validation and bias assessment, and the characteristics of the 1996 CanCHEC. Representativeness of the 1996 CanCHEC relative to the adult population of Canada is also assessed.

    Release date: 2018-01-22
Stats in brief (0)

Stats in brief (0) (0 results)

No content available at this time.

Articles and reports (5)

Articles and reports (5) ((5 results))

  • 1. Ethnocultural and socioeconomic disparities in exposure to residential greenness within urban Canada
    Articles and reports: 82-003-X202100500001
    Description:

    Residential greenness has been associated with benefits to health, such as lower risk of mortality, cardiovascular disease, obesity, adverse birth outcomes, asthma and better psychological health. However, the variation in greenness across socioeconomic and demographic characteristics in urban areas of Canada has not been well documented. Authors of a study focused upon respondents to the 2001 Canadian Census reported that more affluent and more highly educated adults living in the 30 largest Census metropolitan areas of Canada had greater exposures to residential greenness than those who were less affluent and less well-educated. This study builds on that work by using data from the more recent, 2016 Census; including respondents of all ages; and by considering differences in exposures according not only to age, education, and income, but also according to immigration status, time since immigration, self-reported ethnicity, and neighbourhood deprivation indices.

    Release date: 2021-05-19
  • 2. The association between ambient air pollution concentrations and psychological distress
    Articles and reports: 82-003-X202000700001
    Description: The present study examined the spatial associations between air pollutants (fine particulate matter [PM2.5], nitrogen dioxide [NO2] and ground-level ozone [O3]) and psychological distress among subjects in the most populous provinces in Canada.
    Release date: 2020-07-29
  • 3. Disease assimilation: The mortality impacts of fine particulate matter on immigrants to Canada
    Articles and reports: 82-003-X202000300002
    Description: The purpose of this study was to assess the risk of non accidental and cause specific mortality associated with long term exposure to PM2.5 among immigrants after they arrived in Canada, and to assess how this risk compares with that of the non immigrant population. Using the Canadian Census Health and Environment Cohort, this study also sought to determine the influence of several immigrant specific variables on the PM2.5 -mortality association, including duration in Canada, country of birth, age at immigration and neighbourhood ethnic concentration.
    Release date: 2020-06-17
  • 4. Cohort profile: The Canadian Census Health and Environment Cohorts (CanCHECs)
    Articles and reports: 82-003-X201901200003
    Description:

    This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.

    Release date: 2019-12-18
  • 5. The 1996 CanCHEC: Canadian Census Health and Environment Cohort Profile Archived
    Articles and reports: 11-633-X2018013
    Description:

    Since 2008, a number of population censuses have been linked to administrative health data and to financial data. These linked datasets have been instrumental in examining health inequalities and have been used in environmental health research. This paper describes the creation of the 1996 Canadian Census Health and Environment Cohort (CanCHEC)—3.57 million respondents to the census long-form questionnaire who were retrospectively followed for mortality and mobility for 16.6 years from 1996 to 2012. The 1996 CanCHEC was limited to census respondents who were aged 19 or older on Census Day (May 14, 1996), were residents of Canada, were not residents of institutions, and had filed an income tax return. These respondents were linked to death records from the Canadian Mortality Database or to the T1 Personal Master File, and to a postal code history from a variety of sources. This is the third in a set of CanCHECs that, when combined, make it possible to examine mortality trends and environmental exposures by socioeconomic characteristics over three census cycles and 21 years of census, tax, and mortality data. This report describes linkage methodologies, validation and bias assessment, and the characteristics of the 1996 CanCHEC. Representativeness of the 1996 CanCHEC relative to the adult population of Canada is also assessed.

    Release date: 2018-01-22
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.