Canadian Community Health Survey (CCHS 1.1 and 2.1) immigrant profile, by sex, Canada, provinces and territories.

This table contains 145632 series, with data for years 2003 - 2003 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (41 items: Canada; Nova Scotia; Newfoundland and Labrador; Prince Edward Island ...) Sex (3 items: Both sexes; Males; Females ...) Health profile (156 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; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons ...).

This table contains 447552 series, with data for years 2003 - 2003 (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; Nova Scotia; Prince Edward Island ...) Urban-rural status (9 items: Total; urban-rural status; Urban; Urban fringe; Urban core ...) Sex (3 items: Both sexes; Females; Males ...) Health profile (156 items: Total population for the variable self-rated health; Very good or excellent self-rated health; Excellent self-rated health; Very good self-rated health ...) Characteristics (8 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 ...).

[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 conditions and practices. Smoking, body mass index. Geographies available: district health authorities

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 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 ...).

Toward Common Ground report on healthy food consumption, measuring the proportion of the population consuming fruits and/or vegetables five or more times per day. The report includes data from 2015-2017 as well as analysis of key findings. Source of data is the Canadian Community Health Survey. Daily fruit and vegetables intake information was collected as part of Fruit and Vegetable Consumption module within the Canadian Community Health Survey (CCHS). 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 is conducted annually by Statistics Canada. For further information see: http://www.towardcommonground.ca/en/data-portal/nutrition-and-weight.aspx*Source: Statistics Canada (2015). Canadian Community Health Survey – Annual Component (CCHS). Retrieved from: http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=3226**Source: Vegetable and Fruit Consumption. Association of Public Health Epidemiologists in Ontario (APHEO). Retrieved from: http://core.apheo.ca/index.php?pid=128

[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 the connection between financial resources and availability of food. 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 preventative health practices. 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 hours of sleep. Geographies available: district health authorities

Canadian Community Health Survey (CCHS 1.1 and 2.1) linguistic minority profile (mother tongue and first official language spoken), by sex, Canada, provinces and territories.

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 ...).

Web-based instruments are being increasingly used in nutrition epidemiology and surveillance. However, the extent to which dietary intake estimates derived from web-based 24-h recalls such as the R24W are consistent with data derived from more traditional interviewer-administered 24-h recalls (TRAD) remains uncertain. Our objective was to compare dietary intake estimates obtained using the R24W and a TRAD instrument in population-based samples from the province of Québec in Canada. This comparison of dietary assessment methods was based on data from two sample survey studies in adults (18–65 years). The R24W was used in a sample of 1,147 French-speaking adults from five regions of Québec as part of the PREDISE (PRÉDicteurs Individuels, Sociaux et Environnementaux) study. The TRAD was used in a sample of 875 French-speaking adults from the Canadian Community Health Survey 2015 located in the same five regions. Characteristics of both samples were matched through selection and weighting (language, sex, age, region, education, body mass index, weekend day, and season of survey). Mean and usual intake data of each sample were compared. The plausibility of reported energy intakes was compared using predictive equations of the Institute of Medicine. Mean servings/day from the R24W were higher than with TRAD for vegetables and fruit (+11%, P = 0.003), grain products (+7%, P = 0.06), milk and alternatives (+21%, P < 0.001), and meat and alternatives (+18%, P = 0.001). Intake of low nutritive value foods was also 28% higher with the R24W than with TRAD (mean difference +164 kcal; 95% CI, 107–222). As a result, total energy intakes from the R24W compared with TRAD were 18% higher in women (mean difference +325 kcal; 95% CI, 243–407) and 15% higher in men (mean difference +361 kcal; 95% CI 232–490). The prevalence of underreporting of energy intakes was 10% lower with the R24W than with TRAD (prevalence ratio 0.90; 95% CI, 0.86–0.94). In conclusion, differences between dietary assessment methods in the context of population-based surveys on nutrition have potentially important consequences on the quality of the data and should be carefully considered in future surveys and surveillance strategies.

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 primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

Social media is increasingly used to engage persons with lived experience and healthcare professionals in research, however, there remains sparse guidance on how to effectively use social media to engage these groups in research agenda-setting. Here we report our process and experience utilizing a social media campaign to engage Canadians within the pediatric cancer community in a research priority-setting exercise. Following the James Lind Alliance method, we launched a priority-setting partnership (PSP) to develop a child with cancer-, survivor-, family member-, and healthcare professional-based Canadian pediatric cancer research agenda. Social media-based strategies were implemented to recruit participants for two PSP surveys, including preparatory activities, developing a website, launching graphics and advertisements, and engaging internal and external networks. Descriptive statistics of our data and analytics provided by the platforms are used presently to report our process. The framework we implemented involved preparing for social media use, identifying a target audience, developing campaign content, conducting the campaign, refining the campaign as needed, and evaluating its success. Our process resulted in a substantial social media-based reach, good survey completion rates, and a successfully developed pediatric cancer community-specified research agenda. Social media may represent a useful approach to engage persons with lived experience and healthcare professionals in research agenda development. Based on our experience, we present strategies to increase social media campaign engagement that may be useful to those seeking to conduct health research priority-setting exercises.

This table contains 90848 series, with data for years 2003 - 2003 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (167 items: Canada; Newfoundland and Labrador; Health and Community Services Eastern Region; Newfoundland and Labrador; Health and Community Services St. John's Region; Newfoundland and Labrador ...); Sex (3 items: Both sexes; Females; Males ...); Health profile (24 items: Very good or excellent self-rated health; Overweight; body mass index 25.0 to 29.9 (18 years and over); Obese; body mass index 30.0 or higher (18 years and over); With arthritis or rheumatism ...); 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 ...).

This table contains 32928 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 (14 items: Canada; Newfoundland and Labrador ...) Age group (14 items: 12 to 19 years; 12 to 14 years; 15 to 19 years; Total; 12 years and over ...) Sex (3 items: Both sexes; Females; Males ...) Pain or discomfort by severity (7 items: Total population for the variable pain or discomfort by severity; No pain or discomfort; Moderate pain or discomfort; Mild pain or discomfort ...) 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 18816 series, with data for years 2003 - 2005 (not all combinations necessarily have data for all years), and was last released on 2010-06-15. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12 to 19 years; 12 to 14 years; 15 to 19 years ...) Sex (3 items: Both sexes; Males; Females ...) Functional health status (4 items: Total population for the variable functional health status; Moderate or severe functional health problems; Functional health status; not stated; Very good or perfect functional health ...) Characteristics (8 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 ...).

Patient satisfaction with any health care services received in the past 12 months, by age group and sex, household population aged 15 and over, Canadian Community Health Survey (CCHS 1.1, 2.1 and 3.1), Canada, provinces and territories.

The summary data table of estimates of usual intakes for energy, nutrients & other dietary components from food uses data collected from Canadians in the 2004 and 2015 Canadian Community Health Survey (CCHS) - Nutrition. Data are provided for the household population by 16 DRI age–sex groups at the national, regional and provincial levels. Please note that the following estimates have been updated December 2024: Estimates of usual intakes of folate (mcg/d (Dietary Folate Equivalents (DFE)) for 2015 at the national level were revised based on updated calculation of DFE content of recipes in the nutrient database. The following were not revised: national estimates (2004), and provincial- or regional- estimates (2004, 2015). As such, it is not possible to compare national-level estimates between 2004 and 2015 or compare provincial and national-level estimates for 2015. Visit the Nutrition Surveillance Data Tool to explore the 2015 CCHS-Nutrition usual intake data with interactive visualizations and a customizable data table.