This table contains 93984 series, with data for years 2002 - 2002 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Newfoundland and Labrador; Nova Scotia ...), Age group (4 items: 65 years and over;25 to 64 years;15 to 24 years; Total; 15 years and over ...), Sex (3 items: Both sexes; Females; Males ...), Mental health and well-being profile (89 items: Total population for the variable major depressive episode; Major depressive episode; all measured criteria are met; Major depressive episode; measured criteria not met; Major depressive episode; not stated ...), Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons ...).

The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The CCHS operates on a two-year collection cycle. The first year of the survey cycle “.1” is a large sample, general population health survey, designed to provide reliable estimates at the health region level. The second year of the survey cycle “.2” is a smaller survey designed to provide provincial level results on specific focused health topics. This Microdata File contains data collected in Cycle 1.2 Mental Health and Well-Being. This cycle mainly measures aspects linked to the mental health of Canadians. The primary objectives of the CCHS Mental Health and Well-being are to: Provide timely, reliable, cross-sectional estimates of mental health determinants, mental health status and mental health system utilization across Canada Determine prevalence rates of selected mental disorders to assess the impact of burden of illness Juxtapose access and utilization of mental health services with respect to perceived needs Assess the disabilities associated with mental health problems to individuals and society Information was collected between May 2002 and December 2002, for the ten provinces. Cycle 1.2 collects responses from persons aged 15 or older, living in private occupied dwellings. Excluded from the sampling frame are individuals living on Indian Reserves and on Crown Lands, Health Care institution residents, full-time members of the Canadian Armed Forces, and residents of certain remote regions.

The CCHS is a comprehensive look at mental health with respect to who is affected by selected mental disorders as well as positive mental health. It will also examine access to and utilization of formal and informal mental health care services and supports. It will look at how people are functioning regardless of whether they have a mental health problem. The objectives of the CCHS - Mental Health are: To assess the mental health status of Canadians on both illness and positive mental health continuums through selected mental and substance disorders, mental health problems, and well-being; To assess timely, adequate, and appropriate access to and utilization of formal and informal mental health services and supports as well as perceived needs; To assess functioning, ability and disability in relation to mental health and illness; To examine links between mental health and social, demographic, geographic, and economic variables or characteristics (covariates); and To evaluate changes in patterns of mental health, service use, and functioning from the 2002 CCHS on Mental Health and Well-being.

Mental Health Profile, Canadian Community Health Survey - Mental Health (CCHS), by age group and sex, Canada and provinces

The webinar we explore the following surveys: • 2012 Canadian Community Health Survey – Mental Health (CCHS - MH), which provides a comprehensive look at mental health with respect to who is affected by selected mental disorders, as well as positive mental health of Canadians. It also examines access to and utilization of formal and informal mental health care services and supports, and how people are functioning regardless of whether they have a mental health problem. • 2013 Canadian Forces Mental Health Survey (CFMHS), which collected information about the mental health status and the need for mental health services in the Canadian Forces. It also examines the mental health impact of the Canadian Forces work environment and deployment in support of the mission in Afghanistan. • 2014 Survey of Living with Chronic Diseases in Canada (SLCDC), which provides information related to the experiences of Canadians with mood and anxiety disorders, including care received from health professionals, medication use and self-management of their condition.

This table contains 83304 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (117 items: Canada; Census metropolitan areas; Newfoundland and Labrador; Newfoundland and Labrador ...) Sex (3 items: Males; Females; Both sexes ...) Health profile (31 items: Very good or excellent self-rated health; Very good or excellent self-rated mental health; Obese; self-reported adult body mass index 30.00 or higher (18 years and over); Overweight; self-reported adult body mass index 25.00 to 29.99 (18 years and over) ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons ...).

This table contains 160022 series, with data for years 2003 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (160 items: Canada; Newfoundland and Labrador; Eastern Regional Integrated Health Authority; Newfoundland and Labrador; Central Regional Integrated Health Authority; Newfoundland and Labrador ...), Sex (3 items: Both sexes; Males; Females ...), Health profile (31 items: Very good or excellent self-rated health; Very good or excellent self-rated mental health; Overweight; self-reported adult body mass index 25.00 to 29.99 (18 years and over);Obese; self-reported adult body mass index 30.00 or higher (18 years and over) ...), Characteristics (12 items: Number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons ...).

The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level. The CCHS has the following objectives: Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; Provide a single data source for health research on small populations and rare characteristics; Timely release of information easily accessible to a diverse community of users; Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. Since 2007, data for the Canadian Community Health Survey (CCHS) are collected yearly instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. PUMF file only cover one year, it explains why certain modules are part of the one year files but not the two year files

[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports health indicators. Health status, body mass index, mental health status, presence of health conditions, health practices, access to health care, belonging to community, activity restrictions, access to home care. Geographies available: district health authorities

[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports indicators of mental and emotional health. Life stress, work stress, sense of belonging to community, personal connections. Geographies available: district health authorities

This table contains 41216 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Off-reserve Aboriginal profile (4 items: Total off-reserve population; Non-Aboriginal; Aboriginal; not stated; Aboriginal ...) Sex (3 items: Both sexes; Males; Females ...) Health profile (32 items: Very good or excellent self-rated health; Very good or excellent self-rated mental health; Overweight; self-reported adult body mass index 25.00 to 29.99 (18 years and over); Obese; self-reported adult body mass index 30.00 or higher (18 years and over) ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons ...).

This table contains 137088 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Urban-rural status (3 items: Total; urban-rural status; Rural; Urban ...) Sex (3 items: Both sexes; Females; Males ...) Health profile (144 items: Total population for the variable self-rated health; Excellent self-rated health; Very good self-rated health; Very good or excellent self-rated health ...) Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons; Low 95% confidence interval; number of persons ...).

Introduction: Suicidal ideation (SI) is prevalent in the general population, and is a risk factor for suicide. Predicting which patients are likely to have SI remains challenging. Deep Learning (DL) may be a useful tool in this context, as it can be used to find patterns in complex, heterogeneous, and incomplete datasets. An automated screening system for SI could help prompt clinicians to be more attentive to patients at risk for suicide.Methods: Using the Canadian Community Health Survey—Mental Health Component, we trained a DL model based on 23,859 survey responses to classify patients with and without SI. Models were created to classify both lifetime SI and SI over the last 12 months. From 582 possible parameters we produced 96- and 21-feature versions of the models. Models were trained using an undersampling procedure that balanced the training set between SI and non-SI; validation was done on held-out data.Results: For lifetime SI, the 96 feature model had an Area under the receiver operating curve (AUC) of 0.79 and the 21 feature model had an AUC of 0.77. For SI in the last 12 months the 96 feature model had an AUC of 0.71 and the 21 feature model had an AUC of 0.68. In addition, sensitivity analyses demonstrated feature relationships in line with existing literature.Discussion: Although further study is required to ensure clinical relevance and sample generalizability, this study is an initial proof of concept for the use of DL to improve identification of SI. Sensitivity analyses can help improve the interpretability of DL models. This kind of model would help start conversations with patients which could lead to improved care and a reduction in suicidal behavior.

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: - Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; - Provide a single data source for health research on small populations and rare characteristics; - Timely release of information easily accessible to a diverse community of users; - Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the current CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

PLEASE NOTE: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It surveys a large sample of respondents and is designed to provide reliable estimates at the health region level. In 2007, major changes were made to the CCHS design. Data is now collected on an ongoing basis with annual releases, rather than every two years as was the case prior to 2007. The survey's objectives were also revised and are as follows: • support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; • provide a single data source for health research on small populations and rare characteristics; • timely release of information easily accessible to a diverse community of users; and • create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS data is always collected from persons aged 12 and over living in private dwellings in the 115 health regions covering all provinces and territories. Excluded from the sampling frame are individuals living on Indian Reserves and on Crown Lands, institutional residents, full-time members of the Canadian Forces, and residents of certain remote regions. The CCHS covers approximately 98% of the Canadian population aged 12 and over. The CCHS produces three types of microdata files: master files; share files; and public use microdata files (PUMF). The characteristics of each of these files are presented in the User Guide. The PUMF is released every two years and contains two years of data.

Number and percentage of persons for mental health indicators, by age group and sex.

Descriptive statistics by sexual orientation: mental and physical health, substance use, demographics, and socioeconomic indicators from the canadian community health survey.

PLEASE NOTE: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It surveys a large sample of respondents and is designed to provide reliable estimates at the health region level. In 2007, major changes were made to the CCHS design. Data is now collected on an ongoing basis with annual releases, rather than every two years as was the case prior to 2007. The survey's objectives were also revised and are as follows: • support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; • provide a single data source for health research on small populations and rare characteristics; • timely release of information easily accessible to a diverse community of users; and • create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population.

Association between health conditions and likelihood of employment by gender in combined data from CAN, DK, SE and England for persons aged 60–69 years OR (95% CI) (n = 42,154).

Socioeconomic characteristics of the population aged 15 and older that is Two-Spirit, lesbian, gay, bisexual, transgender, and queer or who use other terms related to gender or sexual diversity (2SLGBTQ+), by gender, age group and geographic region. Marital status, presence of children under age 12 in the household, education, employment, personal income, Indigenous identity, the visible minority population, immigrant status, language(s) spoken most often at home, place of residence (population centre/rural), self-rated general health, and self-rated mental health. Estimates are obtained from combined cycles of the Canadian Community Health Survey, 2019 to 2021.