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- 1. 2007 General Social Survey: Care Tables ArchivedTable: 89-633-XGeography: Province or territoryDescription:
Cycle 21 of the 2007 General Social Survey (GSS) was on "Family, Social Support and Retirement". Data were collected over a 9 month period from March to December 2007 with a sample of approximately 25,000 respondents representing the non-institutionalized population in the 10 provinces. These tables contain data on the prevalence of care given and received by seniors because of long-term health problems, selected employment consequences of providing care to seniors and self-rated stress experienced by caregivers. All tables are available by sex and age groups, and for Canada and the provinces or regions.
Release date: 2008-10-21 - Articles and reports: 82-003-X200800410703Geography: CanadaDescription:
Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.
Release date: 2008-10-15 - 3. The feasibility of establishing correction factors to adjust self-reported estimates of obesity ArchivedArticles and reports: 82-003-X200800310680Geography: CanadaDescription:
This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.
Release date: 2008-09-17 - 4. Sedentary behaviour and obesity ArchivedArticles and reports: 82-003-X200800210599Geography: CanadaDescription:
This article examines sedentary behaviours (television viewing, computer use and reading) in relation to obesity among Canadian adults aged 20 to 64 years.
Release date: 2008-06-18 - 5. Effects of measurement on obesity and morbidity ArchivedArticles and reports: 82-003-X200800210564Geography: CanadaDescription:
This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.
Release date: 2008-05-14 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - 7. Community belonging and self-perceived health ArchivedArticles and reports: 82-003-X200800210552Geography: CanadaDescription:
With data from the 2005 Canadian Community Health Survey, this article compares rates of community belonging at the provincial or territorial and health region levels. Associations between community belonging and mental and general health are examined.
Release date: 2008-04-16 - Articles and reports: 82-003-X200800110532Geography: CanadaDescription: This article examines whether consultations with health care providers, not having a regular doctor, receipt of preventive screening tests, and unmet health care needs vary by sexual identity for Canadians aged 18 to 59. Results are based on the Canadian Community Health Survey, combined 2003 and 2005 data.Release date: 2008-03-19
- Articles and reports: 11-522-X200600110408Description:
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.
Release date: 2008-03-17 - 10. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.
Release date: 2008-03-17
Data (1)
Data (1) ((1 result))
- 1. 2007 General Social Survey: Care Tables ArchivedTable: 89-633-XGeography: Province or territoryDescription:
Cycle 21 of the 2007 General Social Survey (GSS) was on "Family, Social Support and Retirement". Data were collected over a 9 month period from March to December 2007 with a sample of approximately 25,000 respondents representing the non-institutionalized population in the 10 provinces. These tables contain data on the prevalence of care given and received by seniors because of long-term health problems, selected employment consequences of providing care to seniors and self-rated stress experienced by caregivers. All tables are available by sex and age groups, and for Canada and the provinces or regions.
Release date: 2008-10-21
Analysis (11)
Analysis (11) (0 to 10 of 11 results)
- Articles and reports: 82-003-X200800410703Geography: CanadaDescription:
Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.
Release date: 2008-10-15 - 2. The feasibility of establishing correction factors to adjust self-reported estimates of obesity ArchivedArticles and reports: 82-003-X200800310680Geography: CanadaDescription:
This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.
Release date: 2008-09-17 - 3. Sedentary behaviour and obesity ArchivedArticles and reports: 82-003-X200800210599Geography: CanadaDescription:
This article examines sedentary behaviours (television viewing, computer use and reading) in relation to obesity among Canadian adults aged 20 to 64 years.
Release date: 2008-06-18 - 4. Effects of measurement on obesity and morbidity ArchivedArticles and reports: 82-003-X200800210564Geography: CanadaDescription:
This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.
Release date: 2008-05-14 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - 6. Community belonging and self-perceived health ArchivedArticles and reports: 82-003-X200800210552Geography: CanadaDescription:
With data from the 2005 Canadian Community Health Survey, this article compares rates of community belonging at the provincial or territorial and health region levels. Associations between community belonging and mental and general health are examined.
Release date: 2008-04-16 - Articles and reports: 82-003-X200800110532Geography: CanadaDescription: This article examines whether consultations with health care providers, not having a regular doctor, receipt of preventive screening tests, and unmet health care needs vary by sexual identity for Canadians aged 18 to 59. Results are based on the Canadian Community Health Survey, combined 2003 and 2005 data.Release date: 2008-03-19
- Articles and reports: 11-522-X200600110408Description:
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.
Release date: 2008-03-17 - 9. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110452Geography: Canada, Province or territoryDescription:
Accurate information about the timing of access to primary mental health care is critically important in order to identify potentially modifiable factors which could facilitate timely and on-going management of care. No "gold standard" measure of mental health care utilization exists, so it useful to know how strengths, gaps, and limitations in different data sources influence study results. This study compares two population-wide measures of primary mental health care utilization data: the Canadian Community Health Survey of Mental Health and Well-being (CCHS, cycle 1.2) and provincial health insurance records in the province of British Columbia. It explores four questions: (1) Is 12-month prevalence of contacts with general practitioners for mental heath issues the same regardless of whether survey data or administrative data are used? (2) What is the level of agreement between the survey data and administrative data for having had any contact with a general practitioner for mental heath issues during the 12 month period before the survey interview? (3) Is the level of agreement constant throughout the 12-month period or does it decline over more distant sub-timeframes within the 12-month period? (4) What kinds of respondent characteristics, including mental disorders, are associated with agreement or lack of agreement? The results of this study will provide useful information about how to use and interpret each measure of health care utilization. In addition, it will contribute to survey design research, and to research which aims to improve the methods for using administrative data for mental health services research.
Release date: 2008-03-17
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