The Canadian Multi‐Ethnic Research on Aging (CAMERA) Study: Objectives and Design

Abstract Background Despite being among the fastest‐growing ethnoracial groups in Canada and the United States, individuals of Asian descent are significantly underrepresented in research on Alzheimer’s disease and related dementias (ADRD). Limited evidence suggests a lower incidence of dementia among Asian Americans compared to their White counterparts; however, there is variability in risk factors among Asian American subgroups. Understanding this heterogeneity is crucial for tailoring dementia prevention and intervention strategies in Asian populations. To address this gap, we launched the CA nadian M ulti‐ E thnic R esearch on A ging (CAMERA) study in Toronto, Canada. Method CAMERA is a 5‐year longitudinal observational study based at Sunnybrook Health Sciences Centre in Toronto, Canada. CAMERA aims to enroll 300 cognitively unimpaired adults aged 55‐85 who self‐identify as South Asian, Chinese, or non‐Hispanic White (n = 100/group). Participants are recruited from the greater Toronto area using culturally appropriate, community‐based participatory approaches. We formed a community advisory board (CAB) comprising community members who share the same identity, language, culture, and values as CAMERA participants. The CAB actively engages in the research process, participant recruitment, research questions, and knowledge translation. In terms of the study protocol, at baseline (Year 1), Year 3, and Year 5, participants complete clinical, cognitive, brain MRI, blood (for genetic and biomarker analysis), and language‐ and culturally neutral eye‐tracking assessments. Every year, participants complete a series of questionnaires via REDCap covering demographic, community, cultural and social, mental and physical health, and sex‐specific health factors. Result As of April 2024, we have enrolled 131 participants. Of those, 92 participants completed baseline Year 1 testing. Of the 92 participants, 31 (33.7%) self‐identified as South Asian, 36 (39.1%) as Chinese, and 25 (27.2%) as non‐Hispanic White. Participants have a mean age of 68.1 years (SD = 6.2), and are mostly female (62 (67.4%)). Conclusion To our knowledge, this will be the first longitudinal cohort study that brings together sensitive brain imaging tools, novel blood‐based markers, and comprehensive cognitive data to investigate ADRD risk in understudied Asian subgroups. This research will yield currently unavailable data to inform the development of precision strategies to prevent and delay ADRD in Asian and other populations.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095035
Primary Topic
Aging and Gerontology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Canadian Multi‐Ethnic Research on Aging (CAMERA) Study: Objectives and Design

Tulip Marawi, Rachel Yep, Georgia Gopinath, Jennifer S. Rabin et al.
Alzheimer s & Dementia
Aging and Gerontology Research
article

The Canadian Multi‐Ethnic Research on Aging (CAMERA) Study: Objectives and Design

Tulip Marawi, Rachel Yep, Georgia Gopinath, Jennifer S. Rabin, Sandra E. Black, Maged Goubran, Douglas P. Munoz, Madeline Wood Alexander, Walter Swardfager, Alexander Nyman, Silina Z. Boshmaf, Harleen Rai
article en

Abstract

Abstract Background Despite being among the fastest‐growing ethnoracial groups in Canada and the United States, individuals of Asian descent are significantly underrepresented in research on Alzheimer’s disease and related dementias (ADRD). Limited evidence suggests a lower incidence of dementia among Asian Americans compared to their White counterparts; however, there is variability in risk factors among Asian American subgroups. Understanding this heterogeneity is crucial for tailoring dementia prevention and intervention strategies in Asian populations. To address this gap, we launched the CA nadian M ulti‐ E thnic R esearch on A ging (CAMERA) study in Toronto, Canada. Method CAMERA is a 5‐year longitudinal observational study based at Sunnybrook Health Sciences Centre in Toronto, Canada. CAMERA aims to enroll 300 cognitively unimpaired adults aged 55‐85 who self‐identify as South Asian, Chinese, or non‐Hispanic White (n = 100/group). Participants are recruited from the greater Toronto area using culturally appropriate, community‐based participatory approaches. We formed a community advisory board (CAB) comprising community members who share the same identity, language, culture, and values as CAMERA participants. The CAB actively engages in the research process, participant recruitment, research questions, and knowledge translation. In terms of the study protocol, at baseline (Year 1), Year 3, and Year 5, participants complete clinical, cognitive, brain MRI, blood (for genetic and biomarker analysis), and language‐ and culturally neutral eye‐tracking assessments. Every year, participants complete a series of questionnaires via REDCap covering demographic, community, cultural and social, mental and physical health, and sex‐specific health factors. Result As of April 2024, we have enrolled 131 participants. Of those, 92 participants completed baseline Year 1 testing. Of the 92 participants, 31 (33.7%) self‐identified as South Asian, 36 (39.1%) as Chinese, and 25 (27.2%) as non‐Hispanic White. Participants have a mean age of 68.1 years (SD = 6.2), and are mostly female (62 (67.4%)). Conclusion To our knowledge, this will be the first longitudinal cohort study that brings together sensitive brain imaging tools, novel blood‐based markers, and comprehensive cognitive data to investigate ADRD risk in understudied Asian subgroups. This research will yield currently unavailable data to inform the development of precision strategies to prevent and delay ADRD in Asian and other populations.

Alzheimer s & DementiaVol. 20(S8)
University of Toronto (CA), Queen's University (CA), Sunnybrook Hospital (CA), Sunnybrook Research Institute
Openalex Percentile: Top 68%
Aging and Gerontology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.