Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Population Growth

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.

Longitudinal Studies

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Data Collection by Observations

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

Applications of Life Tables

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Association Between Air Pollution and Post Acute Sequelae of SARS-CoV-2 (PASC).

American journal of respiratory and critical care medicine·2026

Same author

Sector-specific Long-term Associations Between Transportation, Industrial, and Residential Combustion Air Pollutant Mixtures (PM<sub>2.5</sub>, SO<sub>2</sub>, NO<sub>2</sub>, O<sub>3</sub>) and Neurological Disease-related Mortality in Canada.

Environmental epidemiology (Philadelphia, Pa.)·2026

Same author

Improving Inference in Air Pollution Epidemiology: The Case for Rethinking Multipollutant Adjustment.

Epidemiology (Cambridge, Mass.)·2026

Same author

Long-term associations of sector-specific air pollution mixtures with mortality in Canada.

Environmental research·2025

Same author

A Study on Acute Management of Colorectal Cancer Presenting as an Emergency.

Cureus·2025

Same author

Ancestry or identity? The importance of Indigenous engagement in articulating First Nations, Inuit and Métis peoples in the 2006 Canadian Census Health and Environmental Cohort (CanCHEC).

International journal of circumpolar health·2025

Search research articles

Related Experiment Video

Updated: May 8, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Data resource profile: 1991 Canadian Census Cohort.

Paul A Peters¹, Michael Tjepkema, Russell Wilkins

¹Health Analysis Division, Statistics Canada, Ottawa, Canada, Department of Sociology, University of New Brunswick, Fredericton, Canada, Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Canada, Social Analysis Division, Statistics Canada, Ottawa, Canada and Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Canada.

International Journal of Epidemiology

|September 10, 2013

Summary

The 1991 Canadian Census Cohort reveals significant disparities in remaining life expectancy at age 25. These differences are linked to socioeconomic status, education, housing, and ancestry, highlighting health inequities in Canada.

Keywords:

Canada Cohort studies mortality neoplasms socioeconomic factors

Related Experiment Videos

Last Updated: May 8, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Area of Science:

Population Health
Epidemiology
Sociology

Background:

The 1991 Canadian Census Cohort is Canada's largest population-based cohort (N=2,734,835).
Previously, no national cohort existed to analyze mortality by socioeconomic indicators.
This cohort enables examination of health outcomes across diverse demographic groups.

Purpose of the Study:

To establish a comprehensive national cohort for mortality research.
To investigate the relationship between socioeconomic status and mortality in Canada.
To analyze health disparities based on various demographic and socioeconomic factors.

Main Methods:

Linked a 1991 Canadian Census long-form sub-sample to multiple administrative and health databases.
Included historical tax files, mortality and cancer databases, and health/activity limitation surveys.
Ensured broad representation and nearly complete ascertainment of mortality and cancer outcomes.

Main Results:

Demonstrated substantial differences in remaining life expectancy at age 25.
Found significant variations based on income adequacy quintile, educational attainment, and housing type.
Observed disparities in life expectancy correlated with Aboriginal ancestry.

Conclusions:

The 1991 Canadian Census Cohort is a valuable resource for understanding population health and socioeconomic determinants of mortality.
Significant health inequities exist in Canada, influenced by socioeconomic position and ancestry.
Further research can leverage this cohort to address critical public health issues.