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- Selected: Health (33)
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All (33) (0 to 10 of 33 results)
- Articles and reports: 82-003-X202301200002Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.Release date: 2023-12-20
- Surveys and statistical programs – Documentation: 89-654-X2023004Description: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem. The 2022 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability.Release date: 2023-12-01
- Surveys and statistical programs – Documentation: 84-538-XGeography: CanadaDescription: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.Release date: 2023-08-28
- Articles and reports: 11F0019M2016381Description:
Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.
Release date: 2016-07-22 - Articles and reports: 82-003-X201600714644Geography: Census metropolitan areaDescription: Children younger than age 18 enumerated in the 2006 Census who lived in Toronto, Montreal or Vancouver were linked to published air pollution exposure land use regression models to assign exposure at the Dissemination Area level. Associations between both socioeconomic and visible minority status and exposure to ambient nitrogen dioxide among children in these three cities were examined in a series of regression models.Release date: 2016-07-20
- Articles and reports: 82-003-X201600714645Description:
The data are from the Canadian Cancer Registry, with mortality follow-up through record linkage to the Canadian Vital Statistics Death Database. Increases in five-year relative survival ratios between 1992-to-1994 and 2006-to-2008 were calculated by age and sex for all leukemias combined and for each of the main types.
Release date: 2016-07-20 - 7. The feasibility of adding treatment data to the Canadian Cancer Registry using record linkage ArchivedArticles and reports: 82-622-X2015009Description:
The Canadian Cancer Registry (CCR) represents a collaborative effort between Statistics Canada and the thirteen provincial and territorial cancer registries to create a single database to report annually on cancer incidence and survival at the national and jurisdictional level. While gains have been made to ensure high quality, standardized, and comparable data, the CCR currently lacks information on cancer treatment. The Canadian Council of Cancer Registries (CCCR) identified the need to capture treatment data at the national level as a key strategic priority for 2013/2014. Record linkage was identified as one possible approach to fill this information gap.
The purpose of this study is to examine the feasibility of using record linkage to add cancer treatment information for selected cancers: breast, colorectal and prostate. The objectives are twofold: to assess the quality of the linkage processes and the validity of using linked data to estimate cancer treatment rates at the provincial level. The study is based on the Canadian Cancer Registry (2005 to 2008) linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) for four provinces (Ontario, Manitoba, Nova Scotia and Prince Edward Island). The linkage was proposed by Statistics Canada, the CCCR and the Canadian Institute for Health Information (CIHI). The linkage was approved and conducted at Statistics Canada.
Release date: 2015-11-23 - Articles and reports: 82-003-X201500714204Description:
The objective of this study was to determine if the prevalence of overweight and obesity is associated with neighbourhood walkability. The analysis tested whether a dose-response relationship between the Street Smart Walk Score® and various measures of physical activity, overweight, and obesity existed in a large, population-based sample of adults in urban and suburban Ontario.
Release date: 2015-07-15 - Articles and reports: 82-003-X201500714205Description:
Discrepancies between self-reported and objectively measured physical activity are well-known. For the purpose of validation, this study compares a new self-reported physical activity questionnaire with an existing one and with accelerometer data.
Release date: 2015-07-15 - Articles and reports: 82-003-X201500714206Description:
The 2012/2013 Canadian Health Measures Survey collected audiometric and self-reported data to estimate the prevalence of hearing loss and limitations in a population-based sample of Canadians. This study presents an analysis of CHMS audiometric and self-reported hearing data for adults aged 20 to 79.
Release date: 2015-07-15
Data (1)
Data (1) ((1 result))
- 1. National Population Health Survey Overview ArchivedTable: 82-567-XDescription:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29
Analysis (29)
Analysis (29) (10 to 20 of 29 results)
- 11. Hierarchical Bayes small area estimation under a spatial model with application to health survey data ArchivedArticles and reports: 12-001-X201100111445Description:
In this paper we study small area estimation using area level models. We first consider the Fay-Herriot model (Fay and Herriot 1979) for the case of smoothed known sampling variances and the You-Chapman model (You and Chapman 2006) for the case of sampling variance modeling. Then we consider hierarchical Bayes (HB) spatial models that extend the Fay-Herriot and You-Chapman models by capturing both the geographically unstructured heterogeneity and spatial correlation effects among areas for local smoothing. The proposed models are implemented using the Gibbs sampling method for fully Bayesian inference. We apply the proposed models to the analysis of health survey data and make comparisons among the HB model-based estimates and direct design-based estimates. Our results have shown that the HB model-based estimates perform much better than the direct estimates. In addition, the proposed area level spatial models achieve smaller CVs than the Fay-Herriot and You-Chapman models, particularly for the areas with three or more neighbouring areas. Bayesian model comparison and model fit analysis are also presented.
Release date: 2011-06-29 - 12. Quality control and data reduction procedures for accelerometry-derived measures of physical activity ArchivedArticles and reports: 82-003-X201000111066Geography: CanadaDescription:
This article considers critical quality control and data reduction procedures that should be addressed before physical activity information is derived from accelerometry data.
Release date: 2010-01-13 - 13. Data collection for the health component (2008-2009) of the Longitudinal Study of Child Development in Quebec (ÉLDEQ) ArchivedArticles and reports: 11-522-X200800010962Description:
The ÉLDEQ initiated a special data gathering project in March 2008 with the collection of biological materials from 1,973 families. During a typical visit, a nurse collects a blood or saliva sample from the selected child, makes a series of measurements (anthropometry, pulse rate and blood pressure) and administers questionnaires. Planned and supervised by the Institut de la Statistique du Québec (ISQ) and the Université de Montréal, the study is being conducted in cooperation with two private firms and a number of hospitals. This article examines the choice of collection methods, the division of effort among the various players, the sequence of communications and contacts with respondents, the tracing of families who are not contacted, and follow-up on the biological samples. Preliminary field results are also presented.
Release date: 2009-12-03 - 14. Methodological issues in anthropometry: Self-reported versus measured height and weight ArchivedArticles and reports: 11-522-X200800011002Description:
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 (BMI). Associations between BMI categories and selected health conditions are compared to see if the misclassification resulting from the use of self-reported data alters associations between obesity and obesity-related health conditions. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey (CCHS) who, during a face-to-face interview, provided self-reported values for height and weight and were then measured by trained interviewers. Based on self-reported data, a substantial proportion of individuals with excess body weight were erroneously placed in lower BMI categories. This misclassification resulted in elevated associations between overweight/obesity and morbidity.
Release date: 2009-12-03 - Articles and reports: 82-003-X200800410704Geography: CanadaDescription:
A 24-hour dietary recall from 16,190 respondents aged 12 or older to the Canadian Community Health Survey - Nutrition was used to determine energy and nutrient intake. To identify plausible respondents, a confidence interval was applied to total energy expenditure derived from equations developed by the Institute of Medicine. Estimates of energy and nutrient intake for plausible respondents were compared with estimates for all respondents.
Release date: 2008-10-15 - 16. 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 - Articles and reports: 82-003-X200800310681Geography: CanadaDescription:
This article describes the methods used to link census data from the long-form questionnaire to mortality data, and reports simple findings for the major groups, defined by income, education, occupation, language and ethnicity, Aboriginal or visible minority status, and disability status.
Release date: 2008-09-17 - Articles and reports: 81-595-M2006041Geography: CanadaDescription:
Through research and consultation, Statistics Canada was asked to investigate the availability of data to measure the infrastructure of health programs in educational institutions and the flow of individuals through these programs and into health occupations.
This document marks the first stage in this project. Based upon nation-wide consultations, it lays out a conceptual framework and outlines a set of questions about health education, the individuals pursuing health education, the flow of individuals through health education, and the factors which affect that flow. The outline will enable the identification of information that is needed to support efficient and effective decisions and policies about health education programs and health human resources management.
Release date: 2006-04-24 - 19. Health state preference scores for Canadians ArchivedArticles and reports: 82-005-X20040017000Geography: CanadaDescription:
This newsletter article describes the process and preliminary results of eliciting scores from small groups of lay Canadians about their relative preference for a health state compared with full health. Health preference measurement helps assess the relative impact of diseases on health-related quality of life. This is part of the Population Health Impact of Disease in Canada (PHI) research program.
Release date: 2004-08-05 - 20. The effect of intensity of effort to reach survey respondents: A Toronto smoking survey ArchivedArticles and reports: 12-001-X20010026090Geography: Census metropolitan areaDescription:
The number of calls in a telephone survey is used as an indicator of how difficult an intended respondent is to reach. This permits a probabilistic division of the non-respondents into non-susceptibles (those who will always refuse to respond), and the susceptible non-respondents (those who were not available to respond) in a model of the non-response. Further, it permits stochastic estimation of the views of the latter group and an evaluation of whether the non-response is ignorable for inference about the dependent variable. These ideas are implemented on the data from a survey in Metropolitan Toronto of attitudes toward smoking in the workplace. Using a Bayesian model, the posterior distribution of the model parameters is sampled by Markov Chain Monte Carlo methods. The results reveal that the non-response is not ignorable and those who do not respond are twice as likely to favor unrestricted smoking in the workplace as are those who do.
Release date: 2002-02-28
Reference (3)
Reference (3) ((3 results))
- Surveys and statistical programs – Documentation: 89-654-X2023004Description: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem. The 2022 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability.Release date: 2023-12-01
- Surveys and statistical programs – Documentation: 84-538-XGeography: CanadaDescription: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.Release date: 2023-08-28
- Surveys and statistical programs – Documentation: 82-622-X2008003Description:
Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).
The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.
This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.
Release date: 2009-01-30
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