Analysis

Description:

Strong, positive relationships are critical to the healthy development of adolescents in their transition to adulthood. Using 2017/2018 reports from the nationally representative Health Behaviour in School-aged Children study, this study examined the strength, consistency and significance of associations between “intensive” social media use (frequent use to connect with other people) and “problematic” social media use (use that depicts addictive qualities) and available measures of adolescent relationships and connections.

Description:

Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of the most widely used MI algorithms for multivariate data, but it lacks theoretical foundation and is computationally intensive. Recently, missing data imputation methods based on deep learning models have been developed with encouraging results in small studies. However, there has been limited research on evaluating their performance in realistic settings compared to MICE, particularly in big surveys. We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders. We find the deep learning imputation methods are superior to MICE in terms of computational time. However, with the default choice of hyperparameters in the common software packages, MICE with classification trees consistently outperforms, often by a large margin, the deep learning imputation methods in terms of bias, mean squared error, and coverage under a range of realistic settings.

Description: This fact sheet uses time use data from the 2015 General Social Survey to explore how persons with disabilities spend their time, including analysis by sociodemographic factors such as age, sex, and employment status. Activities analyzed include paid work, unpaid work, sleep, personal care, leisure, and transportation. Perceptions of time use among persons with disabilities are also included.

Description:

Using data from the Canadian Community Health Survey (CCHS) and the Canadian Census Health and Environment Cohort (CanCHEC), this infographic examines the suicidal thoughts and suicide mortality among immigrants in Canada. It also looks at the differences in suicide-related behaviours by sociodemographic and socioeconomic characteristics.

Description:

Data on meeting the Canadian 24-Hour Movement Guidelines for adults (24-H Guidelines) and associations with health indicators by body mass index (BMI) class are needed to support public health surveillance. Using data from the cross-sectional Canadian Health Measures Survey, this study aims to describe the proportion of Canadian adults meeting individual and various combinations of the 24-H Guidelines by BMI class and their association with health indicators.

Description:

The Statistics Canada Biobank is a valuable source of nationally representative health information. It contains biospecimens collected from the Canadian Health Measures Survey (CHMS) and the Canadian COVID-19 Antibody and Health Survey (CCAHS). This data resource profile aims to provide an overview of the Statistics Canada Biobank to inform researchers and data users about the program and how it can be used as a resource for the advancement of health-related research.

Description: Based on data from the 2021 Survey on Access to Health Care and Pharmaceuticals During the Pandemic, this infographic examines pharmaceutical access and use across regions and immigration status. It also looks out-of-pocket spending on medication and non-adherence to prescription medication because of cost.

Description:

Canadian adults spend a large proportion of their day engaged in sedentary behaviour, which in excess, is a risk factor for hypertension, obesity, depression, chronic conditions and premature mortality. Using data from the Canadian Health Measures Survey (CHMS) and the new Canadian 24-Hour Movement Guidelines for Adults aged 18-64 years and 65 years and older, the purpose of this study is to compare the percentages of Canadians meeting three different sedentary thresholds (less than and equal to 3 hours per day of screen time, less than and equal to 7 per day of self-reported sitting time and less than and equal to 9 hours per day of accelerometer-measured sedentary time).

Description: Using the Canadian Health Survey of Children and Youth (2019), this study provides an understanding of the prevalence and severity of self-reported experiences of bullying among sexually and gender diverse youth (aged 15 to 17). The study also looks at the association between bullying, sexual and gender diversity, and other socio-demographic characteristics, as well as the relationship between bullying and the overall health and well-being of sexually and gender diverse youth.

Description:

An analysis of medical and non-medical cannabis consumption in the past 12 months among the population aged 15 or older, using the 2019/2020 Canadian Community Health Survey.

Description:

Using data from the Canadian Community Health Survey (CCHS) and the Canadian Census Health and Environment Cohort (CanCHEC), this infographic examines the suicidal thoughts and suicide mortality among immigrants in Canada. It also looks at the differences in suicide-related behaviours by sociodemographic and socioeconomic characteristics.

Description: Based on data from the 2021 Survey on Access to Health Care and Pharmaceuticals During the Pandemic, this infographic examines pharmaceutical access and use across regions and immigration status. It also looks out-of-pocket spending on medication and non-adherence to prescription medication because of cost.

Description:

An analysis of medical and non-medical cannabis consumption in the past 12 months among the population aged 15 or older, using the 2019/2020 Canadian Community Health Survey.

Description:

This infographic looks at political participation and civic engagement among youth in Canada. It examines their voter turnout in federal, provincial and municipal elections. It also looks at non-electoral political activities such as expressing views on the Internet, signing petitions, and participating in marches and demonstrations. Lastly, it explores other aspects of civic engagement including participating in groups, organizations and associations and volunteering. Data are drawn from the 2020 General Social Survey (GSS) on Social Identity and the 2018 GSS on Giving, Volunteering and Participating.

Description:

Using administrative data, such as goods and services tax (GST) revenue, this study assesses how the recovery began to unfold in selected service industries in 2021, the second year of the pandemic, even as supply chain disruptions, labour shortages, skill gaps and inflationary pressures intensified.

Description: This infographic provides a snapshot of how rising prices are affecting the Canadian population in 2022. It uses data from the Portrait of Canadian Society - Impacts of Rising Prices survey. It examines how recent rising prices are affecting Canadians' ability to meet day-to-day expenses, the areas in which people have been most affected and what people have started doing or are doing more than before to deal with rising prices.

Description:

This infographic provides a snapshot of how hopeful different segments of the Canadian Population have generally felt about their future. Three waves of the Canadian Social Survey were pooled to allow for better disaggregation of data and comparisons are made with the 2016 General Social Survey-Canadians at work and home-to better capture the evolving views of Canadians about their future. It examines the change in hopefulness from 2016 to 2021/2022 and looks at some population groups that had below-average levels of hopefulness.

Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.

Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.

Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.

Description:

Strong, positive relationships are critical to the healthy development of adolescents in their transition to adulthood. Using 2017/2018 reports from the nationally representative Health Behaviour in School-aged Children study, this study examined the strength, consistency and significance of associations between “intensive” social media use (frequent use to connect with other people) and “problematic” social media use (use that depicts addictive qualities) and available measures of adolescent relationships and connections.

Description:

Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of the most widely used MI algorithms for multivariate data, but it lacks theoretical foundation and is computationally intensive. Recently, missing data imputation methods based on deep learning models have been developed with encouraging results in small studies. However, there has been limited research on evaluating their performance in realistic settings compared to MICE, particularly in big surveys. We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders. We find the deep learning imputation methods are superior to MICE in terms of computational time. However, with the default choice of hyperparameters in the common software packages, MICE with classification trees consistently outperforms, often by a large margin, the deep learning imputation methods in terms of bias, mean squared error, and coverage under a range of realistic settings.

Description: This fact sheet uses time use data from the 2015 General Social Survey to explore how persons with disabilities spend their time, including analysis by sociodemographic factors such as age, sex, and employment status. Activities analyzed include paid work, unpaid work, sleep, personal care, leisure, and transportation. Perceptions of time use among persons with disabilities are also included.

Description:

Data on meeting the Canadian 24-Hour Movement Guidelines for adults (24-H Guidelines) and associations with health indicators by body mass index (BMI) class are needed to support public health surveillance. Using data from the cross-sectional Canadian Health Measures Survey, this study aims to describe the proportion of Canadian adults meeting individual and various combinations of the 24-H Guidelines by BMI class and their association with health indicators.

Description:

The Statistics Canada Biobank is a valuable source of nationally representative health information. It contains biospecimens collected from the Canadian Health Measures Survey (CHMS) and the Canadian COVID-19 Antibody and Health Survey (CCAHS). This data resource profile aims to provide an overview of the Statistics Canada Biobank to inform researchers and data users about the program and how it can be used as a resource for the advancement of health-related research.

Description:

Canadian adults spend a large proportion of their day engaged in sedentary behaviour, which in excess, is a risk factor for hypertension, obesity, depression, chronic conditions and premature mortality. Using data from the Canadian Health Measures Survey (CHMS) and the new Canadian 24-Hour Movement Guidelines for Adults aged 18-64 years and 65 years and older, the purpose of this study is to compare the percentages of Canadians meeting three different sedentary thresholds (less than and equal to 3 hours per day of screen time, less than and equal to 7 per day of self-reported sitting time and less than and equal to 9 hours per day of accelerometer-measured sedentary time).

Description: Using the Canadian Health Survey of Children and Youth (2019), this study provides an understanding of the prevalence and severity of self-reported experiences of bullying among sexually and gender diverse youth (aged 15 to 17). The study also looks at the association between bullying, sexual and gender diversity, and other socio-demographic characteristics, as well as the relationship between bullying and the overall health and well-being of sexually and gender diverse youth.

Description:

In 2018, Canada legalized the use and sale of non-medical cannabis, with most provinces also permitting home cultivation. To advance the knowledge of home cultivation patterns in Canada within the context of legalization, this study examines (1) the demographics and use patterns of cannabis home growers before and after legalization and (2) the relationship between home cultivation and cannabis-related risks, including workplace use and driving after cannabis use.

Description: In 2021, Canada recorded its highest annual increase in the Consumer Price Index (CPI) since 1991, as global supply-chains felt the repercussions of the COVID-19 pandemic, transportation and supply disruptions, and rebounding energy prices – all alongside the effects of the climate crisis.

This analysis uses price data from the Industrial Product Price Index (IPPI), the Wholesale Services Price Index (WSPI), the Retail Services Price Index (RSPI), and the CPI to detail how manufacturers price movement works it way through the supply-chain to ultimately inform the price consumers pay for beef.

Description:

The physical activity (PA) recommendation was recently revised in the Canadian 24-Hour Movement Guidelines for Adults. The 150 minutes per week of moderate-to-vigorous intensity PA (MVPA) went from requiring that MVPA be accrued in bouts of 10 minutes or more (bouted) to having no bout requirement (non-bouted). Using adult accelerometer data from three combined cycles of the nationally representative Canadian Health Measures Survey, this study compared adherence to the bouted and non-bouted recommendations, and assessed differences in sociodemographic, health and fitness measures.