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All (130)

All (130) (0 to 10 of 130 results)

  • 1. Multilevel time series modelling of antenatal care coverage in Bangladesh at disaggregated administrative levels
    Articles and reports: 12-001-X202200200010
    Description:

    Multilevel time series (MTS) models are applied to estimate trends in time series of antenatal care coverage at several administrative levels in Bangladesh, based on repeated editions of the Bangladesh Demographic and Health Survey (BDHS) within the period 1994-2014. MTS models are expressed in an hierarchical Bayesian framework and fitted using Markov Chain Monte Carlo simulations. The models account for varying time lags of three or four years between the editions of the BDHS and provide predictions for the intervening years as well. It is proposed to apply cross-sectional Fay-Herriot models to the survey years separately at district level, which is the most detailed regional level. Time series of these small domain predictions at the district level and their variance-covariance matrices are used as input series for the MTS models. Spatial correlations among districts, random intercept and slope at the district level, and different trend models at district level and higher regional levels are examined in the MTS models to borrow strength over time and space. Trend estimates at district level are obtained directly from the model outputs, while trend estimates at higher regional and national levels are obtained by aggregation of the district level predictions, resulting in a numerically consistent set of trend estimates.

    Release date: 2022-12-15
  • 2. International population-based health surveys linked to outcome data: A new resource for public health and epidemiology
    Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29
  • 3. 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
  • 4. Using a Betabinomial distribution to estimate the prevalence of adherence to physical activity guidelines among children and youth Archived
    Articles and reports: 82-003-X201600414489
    Description:

    Using accelerometry data for children and youth aged 3 to 17 from the Canadian Health Measures Survey, the probability of adherence to physical activity guidelines is estimated using a conditional probability, given the number of active and inactive days distributed as a Betabinomial.

    Release date: 2016-04-20
  • 5. Comparison of Physical Activity Adult Questionnaire results with accelerometer data Archived
    Articles and reports: 82-003-X201500714205
    Description:

    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
  • 6. Assessment of the quality of the childhood physical abuse measure in the National Population Health Survey Archived
    Articles and reports: 82-003-X201500514170
    Description:

    All respondents to the National Population Health Survey aged 18 or older were asked a question about childhood physical abuse in cycles 1 (1994/1995), 7(2006/2007) and 8 (2008/2009). The reliability of this question was assessed over these periods. Associations between response patterns to the abuse item and health conditions related to childhood physical abuse were examined.

    Release date: 2015-05-20
  • 7. Canadian Health Measures Survey: A tool for immigrant health research? Archived
    Articles and reports: 82-003-X201500314143
    Description:

    This study evaluates the representativeness of the pooled 2007/2009-2009/2011 Canadian Health Measures Survey immigrant sample by comparing it with socio-demographic distributions from the 2006 Census and the 2011 National Household Survey, and with selected self-reported health and health behaviour indicators from the 2009/2010 Canadian Community Health Survey.

    Release date: 2015-03-18
  • 8. Estimating the prevalence of COPD in Canada: Reported diagnosis versus measured airflow obstruction Archived
    Articles and reports: 82-003-X201400311908
    Geography: Canada
    Description:

    This study compares prevalence estimates of chronic obstructive pulmonary disease based on self-reports with those based on lung function measurements from cycle 1 of Statistics Canada's Canadian Health Measures Survey.

    Release date: 2014-03-19
  • 9. Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data Archived
    Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15
  • 10. Impact of accelerometer epoch length on physical activity and sedentary behaviour outcomes for preschool-aged children Archived
    Articles and reports: 82-003-X201400111891
    Geography: Canada
    Description:

    The Canadian Health Measures Survey uses accelerometry to collect physical activity and sedentary behaviour data. Between cycles 2 and 3, a transition was made from 60-second to 15-second epochs in accelerometry data for children aged 3 to 5. This study examines the impact of epoch length on physical activity and sedentary behaviour outcomes for children in this age range.

    Release date: 2014-01-15
Data (1)

Data (1) ((1 result))

  • 1. National Population Health Survey Overview Archived
    Table: 82-567-X
    Description:

    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 (126)

Analysis (126) (0 to 10 of 126 results)

  • 1. Multilevel time series modelling of antenatal care coverage in Bangladesh at disaggregated administrative levels
    Articles and reports: 12-001-X202200200010
    Description:

    Multilevel time series (MTS) models are applied to estimate trends in time series of antenatal care coverage at several administrative levels in Bangladesh, based on repeated editions of the Bangladesh Demographic and Health Survey (BDHS) within the period 1994-2014. MTS models are expressed in an hierarchical Bayesian framework and fitted using Markov Chain Monte Carlo simulations. The models account for varying time lags of three or four years between the editions of the BDHS and provide predictions for the intervening years as well. It is proposed to apply cross-sectional Fay-Herriot models to the survey years separately at district level, which is the most detailed regional level. Time series of these small domain predictions at the district level and their variance-covariance matrices are used as input series for the MTS models. Spatial correlations among districts, random intercept and slope at the district level, and different trend models at district level and higher regional levels are examined in the MTS models to borrow strength over time and space. Trend estimates at district level are obtained directly from the model outputs, while trend estimates at higher regional and national levels are obtained by aggregation of the district level predictions, resulting in a numerically consistent set of trend estimates.

    Release date: 2022-12-15
  • 2. International population-based health surveys linked to outcome data: A new resource for public health and epidemiology
    Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29
  • 3. 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
  • 4. Using a Betabinomial distribution to estimate the prevalence of adherence to physical activity guidelines among children and youth Archived
    Articles and reports: 82-003-X201600414489
    Description:

    Using accelerometry data for children and youth aged 3 to 17 from the Canadian Health Measures Survey, the probability of adherence to physical activity guidelines is estimated using a conditional probability, given the number of active and inactive days distributed as a Betabinomial.

    Release date: 2016-04-20
  • 5. Comparison of Physical Activity Adult Questionnaire results with accelerometer data Archived
    Articles and reports: 82-003-X201500714205
    Description:

    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
  • 6. Assessment of the quality of the childhood physical abuse measure in the National Population Health Survey Archived
    Articles and reports: 82-003-X201500514170
    Description:

    All respondents to the National Population Health Survey aged 18 or older were asked a question about childhood physical abuse in cycles 1 (1994/1995), 7(2006/2007) and 8 (2008/2009). The reliability of this question was assessed over these periods. Associations between response patterns to the abuse item and health conditions related to childhood physical abuse were examined.

    Release date: 2015-05-20
  • 7. Canadian Health Measures Survey: A tool for immigrant health research? Archived
    Articles and reports: 82-003-X201500314143
    Description:

    This study evaluates the representativeness of the pooled 2007/2009-2009/2011 Canadian Health Measures Survey immigrant sample by comparing it with socio-demographic distributions from the 2006 Census and the 2011 National Household Survey, and with selected self-reported health and health behaviour indicators from the 2009/2010 Canadian Community Health Survey.

    Release date: 2015-03-18
  • 8. Estimating the prevalence of COPD in Canada: Reported diagnosis versus measured airflow obstruction Archived
    Articles and reports: 82-003-X201400311908
    Geography: Canada
    Description:

    This study compares prevalence estimates of chronic obstructive pulmonary disease based on self-reports with those based on lung function measurements from cycle 1 of Statistics Canada's Canadian Health Measures Survey.

    Release date: 2014-03-19
  • 9. Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data Archived
    Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15
  • 10. Impact of accelerometer epoch length on physical activity and sedentary behaviour outcomes for preschool-aged children Archived
    Articles and reports: 82-003-X201400111891
    Geography: Canada
    Description:

    The Canadian Health Measures Survey uses accelerometry to collect physical activity and sedentary behaviour data. Between cycles 2 and 3, a transition was made from 60-second to 15-second epochs in accelerometry data for children aged 3 to 5. This study examines the impact of epoch length on physical activity and sedentary behaviour outcomes for children in this age range.

    Release date: 2014-01-15
Reference (3)

Reference (3) ((3 results))

  • 1. Canadian Community Health Survey - Methodological overview Archived
    Surveys and statistical programs – Documentation: 82-003-X20010036099
    Description:

    Cycle 1.1 of the Canadian Community Health Survey (CCHS) will provide information for 136 health regions. A brief overview of the CCHS design, sampling strategy, interviewing procedures, data collection and processing is presented.

    Release date: 2002-03-13
  • 2. Creation of an occupational surveillance system in Canada: Combining data for a unique Canadian study Archived
    Surveys and statistical programs – Documentation: 11-522-X19990015652
    Description:

    Objective: To create an occupational surveillance system by collecting, linking, evaluating and disseminating data relating to occupation and mortality with the ultimate aim of reducing or preventing excess risk among workers and the general population.

    Release date: 2000-03-02
  • 3. Weighting and variance estimation for the exploration of possible time trends in data from the U.S. Third National Health and Nutrition Examination Survey Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015031
    Description:

    The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.

    Release date: 1999-10-22
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