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Social network risk factors and COVID-19 vaccination: A cross-sectional survey study.
Memedovich, Ally; Orr, Taylor; Hollis, Aidan; Salmon, Charleen; Hu, Jia; Zinszer, Kate; Williamson, Tyler; Beall, Reed F.
Afiliação
  • Memedovich A; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
  • Orr T; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
  • Hollis A; Department of Economics, University of Calgary, 2500 University Dr. NW, Calgary, AB, Canada.
  • Salmon C; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
  • Hu J; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
  • Zinszer K; Department of Social and Preventive Medicine, Université de Montréal, Montréal, QC, Canada; Centre for Public Health Research, University of Montreal, Canada.
  • Williamson T; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
  • Beall RF; Department of Community Health Sciences, Cumming School of Medicine and O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada. Electronic address: reed.beall@ucalgary.ca.
Vaccine ; 42(4): 891-911, 2024 Feb 06.
Article em En | MEDLINE | ID: mdl-38238114
ABSTRACT

BACKGROUND:

Social networks have an important impact on our health behaviours, including vaccination. People's vaccination beliefs tend to mirror those of their social network. As social networks are homogenous in many ways, we sought to determine in the context of COVID-19 which factors were most predictive of belonging to a mostly vaccinated or unvaccinated social group.

METHODS:

We conducted a cross-sectional survey among Canadian residents in November and December 2021. Participants were asked about the vaccination status of their social networks their beliefs relating to COVID-19, and various sociodemographic factors. Respondents were split into three groups based on social network vaccination low-, medium-, and high-risk. Chi-squared tests tested associations between factors and risk groups, and an ordinal logistic model was created to determine their direction and strength.

RESULTS:

Most respondents (81.1 %) were classified as low risk (i.e., a mostly vaccinated social network) and few respondents (3.7 %) were classified as high-risk (i.e., an unvaccinated social group). Both the chi-square test (29.2 % difference between the low- and high- risk groups [1.8 % vs. 31.0 %], p < 0.001) and the ordinal logistic model (odds ratio between the low- and high-risk groups 14.45, p < 0.01) found that respondents' perceptions of COVID-19 as a "not at all serious" risk to Canadians was the most powerful predictor of belonging to a predominantly unvaccinated social circle. The model also found that those in mostly unvaccinated social circles also more often reported severe COVID-19 symptoms (odds ratio between the low- and high-risk groups 2.26, p < 0.05).

CONCLUSION:

Perception of COVID-19 as a threat to others may signal communities with lower vaccination coverage and higher risk of severe outcomes. This may have implications for strategies to improve public outreach, messaging, and planning for downstream consequences of low intervention uptake.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 / População Norte-Americana Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Vaccine Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 / População Norte-Americana Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Vaccine Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá