COVID‐19 vaccine mistrust, health literacy, conspiracy theories, and racial discrimination among a representative ethnically diverse sample in Canada: The vulnerability of Arab, Asian, Black, and Indigenous peoples

Author:

Cénat Jude Mary123ORCID,Moshirian Farahi Seyed Mohammad Mahdi1,Dalexis Rose Darly4,Caulley Lisa25,Xu Yan5,Beogo Idrissa26,Pongou Roland27

Affiliation:

1. School of Psychology University of Ottawa Ontario Ottawa Canada

2. Interdisciplinary Centre for Black Health University of Ottawa Ontario Ottawa Canada

3. University of Ottawa Research Chair on Black Health Ontario Ottawa Canada

4. Interdisciplinary School of Health Sciences University of Ottawa Ontario Ontario Canada

5. Faculty of Medicine University of Ottawa Ontario Ottawa Canada

6. School of Nursing University of Ottawa Ontario Ottawa Canada

7. Department of Economics University of Ottawa Ontario Ottawa Canada

Abstract

AbstractDespite increased risk of severe acute respiratory syndrome coronavirus 2 infections and higher rates of COVID‐19‐related complications, racialized and Indigenous communities in Canada have lower immunization uptake compared to White individuals. However, there is woeful lack of data on predictors of COVID‐19 vaccine mistrust (VM) that accounts for diverse social and cultural contexts within specific racialized and Indigenous communities. Therefore, we sought to characterize COVID‐19 VM among Arab, Asian, Black, and Indigenous communities in Canada. An online survey was administered to a nationally representative, ethnically diverse panel of participants in October 2023. Arabic, Asian, Indigenous, and Black respondents were enriched in the sampling panel. Data were collected on demographics, COVID‐19 VM, experience of racial discrimination, health literacy, and conspiracy beliefs. We used descriptive and regression analyses to determine the extent and predictors of COVID‐19 VM among racialized and Indigenous individuals. All racialized respondents had higher VM score compared to White participants. Among 4220 respondents, we observed highest VM among Black individuals (12.18; ±4.24), followed by Arabic (12.12; ±4.60), Indigenous (11.84; ±5.18), Asian (10.61; ±4.28), and White (9.58; ±5.00) participants. In the hierarchical linear regression analyses, Black participants, women, everyday racial discrimination, and major experience of discrimination were positively associated with COVID‐19 VM. Effects of racial discrimination were mediated by addition of conspiracy beliefs to the model. Racialized and Indigenous communities experience varying levels of COVID‐19 VM and carry specific predictors and mediators to development of VM. This underscores the intricate interaction between race, gender, discrimination, and VM that need to be considered in future vaccination campaigns.

Publisher

Wiley

Reference51 articles.

1. GuptaS AitkenN. COVID‐19 mortality among racialized populations in Canada and its association with income StatCan COVID‐19: data to insights for a better Canada. August2022. Accessed September 13 2022. https://www150.statcan.gc.ca/n1/pub/45-28-0001/2022001/article/00010-eng.htm?utm_source=rddt&utm_medium=smo&utm_campaign=statcan-all-content-22-23

2. Disproportionate Rates of COVID-19 Among Black Canadian Communities: Lessons from a Cross-Sectional Study in the First Year of the Pandemic

3. COVID-19 among Black people in Canada: a scoping review

4. Toronto Public Health. COVID 19: ethno‐racial identity & income.2022. Accessed September 13 2022. https://www.toronto.ca/home/covid-19/covid-19-pandemic-data/covid-19-ethno-racial-group-income-infection-data/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3