Cultural and contextual relevance of the Indigenous data in the Canadian longitudinal study on aging

  • 0Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St 4 Floor, Toronto, ON, Canada. grace.spiro@utoronto.ca.

Summary

This summary is machine-generated.

Data from the Canadian Longitudinal Study on Aging (CLSA) on Indigenous participants may not accurately reflect their lived experiences due to sampling methods. Researchers recommend caution when using this Indigenous subsample data.

Area Of Science

  • Gerontology
  • Indigenous Health Research
  • Epidemiology

Background

  • The Canadian Longitudinal Study on Aging (CLSA) is a national aging research platform.
  • CLSA sampling excluded First Nations Reserves, limiting Indigenous community engagement.
  • However, the CLSA sample includes a subsample of self-identified First Nations, Métis, and Inuit participants.

Purpose Of The Study

  • To describe the sociodemographic profile of the self-identified Indigenous subsample in the CLSA baseline data.
  • To interpret these findings with the assistance of an Elder Advisory Circle.
  • To provide recommendations for the appropriate use of CLSA Indigenous data.

Main Methods

  • Descriptive analysis of the CLSA baseline data for the Indigenous subsample.
  • Consultation with an Elder Advisory Circle to review and interpret the findings.

Main Results

  • The sociodemographic profile of the Indigenous subsample in the CLSA does not align with the lived experiences of the Elder Advisory Circle.
  • This profile contrasts with other available data on Indigenous Peoples in Canada.
  • The findings suggest that CLSA sampling and research approaches may not accurately represent older Indigenous Peoples.

Conclusions

  • Recommendations are provided for the appropriate use of Indigenous-identified data within the CLSA.
  • Caution is strongly advised when utilizing data from the Indigenous subsample in the CLSA.
  • The study highlights the importance of community-engaged approaches in Indigenous health research.

Related Concept Videos

Longitudinal Research 02:20

12.5K

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...

Longitudinal Studies 01:26

238

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...

Ethnic Identity within a Larger Culture 01:27

86

Adolescents from ethnic minority backgrounds face a multifaceted journey in forming their identities, shaped by the intersections of cultural expectations and personal exploration. For these adolescents, identity formation involves not only typical developmental challenges but also navigating the perceptions and attitudes of the majority culture. As they grow, adolescents in ethnic minority groups often become increasingly aware of stereotypes, social biases, and discrimination, all of which...

Cross-Sectional Research 01:50

11.8K

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...

Data Collection by Observations 01:08

12.8K

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...

Observational Studies 01:11

9.0K

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...