Academic Journal

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Cultural and contextual relevance of the Indigenous data in the Canadian longitudinal study on aging
Συγγραφείς: Grace M. Spiro, Megan E. O’Connell, Chaneesa Ryan, Laura Warren, Jennifer D. Walker
Πηγή: Canadian Journal of Public Health.
Στοιχεία εκδότη: Springer Science and Business Media LLC, 2025.
Έτος έκδοσης: 2025
Περιγραφή: Objectives The CLSA is a national data platform for aging research that used epidemiology-based sampling methods and explicitly excluded people living on First Nations Reserves and other provincial First Nations settlements as possible CLSA participants. As such, the CLSA research approach did not use Indigenous community engagement. Nevertheless, the CLSA sample includes a sizeable subsample of participants who self-identified as First Nations, Métis, or Inuit. This project seeks to describe the self-identified Indigenous subsample of the CLSA from the baseline data collection and interpret that description with the aid of an Elder Advisory Circle. Methods We conducted a descriptive analysis of the self-identified Indigenous subsample of the CLSA from the baseline data collection. The analysis was presented to an Elder Advisory Circle for consultation. Results The lack of community-engaged approaches to Indigenous research and sampling approaches appears to have resulted in a sociodemographic profile of older Indigenous Peoples that does not match the lived experience of the Elder Advisory Circle and contrasts with other data available on Indigenous Peoples in Canada. We feel the existing CLSA data does not reflect the sociodemographic profile of older Indigenous Peoples. Conclusion We use this community consultation process to provide recommendations for the appropriate use of the Indigenous-identified data in the CLSA, and we conclude by recommending great caution when using the data from the Indigenous subsample in the CLSA data.
Τύπος εγγράφου: Article
Γλώσσα: English
ISSN: 1920-7476
0008-4263
DOI: 10.17269/s41997-025-01087-5
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi...........2a463aa1e36b78ca15200586ebae3ddf
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:19207476
00084263
DOI:10.17269/s41997-025-01087-5